ISEES: an institute for sustainable software to accelerate environmental science

NASA Astrophysics Data System (ADS)

Jones, M. B.; Schildhauer, M.; Fox, P. A.

2013-12-01

Software is essential to the full science lifecycle, spanning data acquisition, processing, quality assessment, data integration, analysis, modeling, and visualization. Software runs our meteorological sensor systems, our data loggers, and our ocean gliders. Every aspect of science is impacted by, and improved by, software. Scientific advances ranging from modeling climate change to the sequencing of the human genome have been rendered possible in the last few decades due to the massive improvements in the capabilities of computers to process data through software. This pivotal role of software in science is broadly acknowledged, while simultaneously being systematically undervalued through minimal investments in maintenance and innovation. As a community, we need to embrace the creation, use, and maintenance of software within science, and address problems such as code complexity, openness,reproducibility, and accessibility. We also need to fully develop new skills and practices in software engineering as a core competency in our earth science disciplines, starting with undergraduate and graduate education and extending into university and agency professional positions. The Institute for Sustainable Earth and Environmental Software (ISEES) is being envisioned as a community-driven activity that can facilitate and galvanize activites around scientific software in an analogous way to synthesis centers such as NCEAS and NESCent that have stimulated massive advances in ecology and evolution. We will describe the results of six workshops (Science Drivers, Software Lifecycles, Software Components, Workforce Development and Training, Sustainability and Governance, and Community Engagement) that have been held in 2013 to envision such an institute. We will present community recommendations from these workshops and our strategic vision for how ISEES will address the technical issues in the software lifecycle, sustainability of the whole software ecosystem, and the critical issue of computational training for the scientific community. Process for envisioning ISEES.

Autonomous Science on the EO-1 Mission

NASA Technical Reports Server (NTRS)

Chien, S.; Sherwood, R.; Tran, D.; Castano, R.; Cichy, B.; Davies, A.; Rabideau, G.; Tang, N.; Burl, M.; Mandl, D.;

Software Reviews.

ERIC Educational Resources Information Center

Wulfson, Stephen, Ed.

1990-01-01

Reviewed are six software packages for Apple and/or IBM computers. Included are "Autograph,""The New Game Show,""Science Probe-Earth Science,""Pollution Patrol,""Investigating Plant Growth," and "AIDS: The Investigation." Discussed are the grade level, function, availability, cost, and hardware requirements of each. (CW)

User-driven integrated software lives: ``Paleomag'' paleomagnetics analysis on the Macintosh

NASA Astrophysics Data System (ADS)

Jones, Craig H.

2002-12-01

"PaleoMag," a paleomagnetics analysis package originally developed for the Macintosh operating system in 1988, allows examination of demagnetization of individual samples and analysis of directional data from collections of samples. Prior to recent reinvigorated development of the software for both Macintosh and Windows, it was widely used despite not running properly on machines and operating systems sold after 1995. This somewhat surprising situation demonstrates that there is a continued need for integrated analysis software within the earth sciences, in addition to well-developed scripting and batch-mode software. One distinct advantage of software like PaleoMag is in the ability to combine quality control with analysis within a unique graphical environment. Because such demands are frequent within the earth sciences, means of nurturing the development of similar software should be found.

Embracing Open Source for NASA's Earth Science Data Systems

NASA Technical Reports Server (NTRS)

Baynes, Katie; Pilone, Dan; Boller, Ryan; Meyer, David; Murphy, Kevin

2017-01-01

The overarching purpose of NASAs Earth Science program is to develop a scientific understanding of Earth as a system. Scientific knowledge is most robust and actionable when resulting from transparent, traceable, and reproducible methods. Reproducibility includes open access to the data as well as the software used to arrive at results. Additionally, software that is custom-developed for NASA should be open to the greatest degree possible, to enable re-use across Federal agencies, reduce overall costs to the government, remove barriers to innovation, and promote consistency through the use of uniform standards. Finally, Open Source Software (OSS) practices facilitate collaboration between agencies and the private sector. To best meet these ends, NASAs Earth Science Division promotes the full and open sharing of not only all data, metadata, products, information, documentation, models, images, and research results but also the source code used to generate, manipulate and analyze them. This talk focuses on the challenges to open sourcing NASA developed software within ESD and the growing pains associated with establishing policies running the gamut of tracking issues, properly documenting build processes, engaging the open source community, maintaining internal compliance, and accepting contributions from external sources. This talk also covers the adoption of existing open source technologies and standards to enhance our custom solutions and our contributions back to the community. Finally, we will be introducing the most recent OSS contributions from NASA Earth Science program and promoting these projects for wider community review and adoption.

Software tools and e-infrastructure services to support the long term preservation of earth science data - new functionality from the SCIDIP-ES project

NASA Astrophysics Data System (ADS)

Riddick, Andrew; Glaves, Helen; Crompton, Shirley; Giaretta, David; Ritchie, Brian; Pepler, Sam; De Smet, Wim; Marelli, Fulvio; Mantovani, Pier-Luca

2014-05-01

The ability to preserve earth science data for the long-term is a key requirement to support on-going research and collaboration within and between earth science disciplines. A number of critically important current research initiatives (e.g. understanding climate change or ensuring sustainability of natural resources) typically rely on the continuous availability of data collected over several decades in a form which can be easily accessed and used by scientists. In many earth science disciplines the capture of key observational data may be difficult or even impossible to repeat. For example, a specific geological exposure or subsurface borehole may be only temporarily available, and earth observation data derived from a particular satellite mission is often unique. Another key driver for long-term data preservation is that the grand challenges of the kind described above frequently involve cross-disciplinary research utilising raw and interpreted data from a number of related earth science disciplines. Adopting effective data preservation strategies supports this requirement for interoperability as well as ensuring long term usability of earth science data, and has the added potential for stimulating innovative earth science research. The EU-funded SCIDIP-ES project seeks to address these challenges by developing a Europe-wide e-infrastructure for long-term data preservation by providing appropriate software tools and infrastructure services to enable and promote long-term preservation of earth science data. This poster will describe the current status of this e-infrastructure and outline the integration of the prototype SCIDIP-ES software components into the existing systems used by earth science archives and data providers. These prototypes utilise a system architecture which stores preservation information in a standardised OAIS-compliant way, and connects and adds value to existing earth science archives. A SCIDIP-ES test-bed has been implemented by the National Geoscience Data Centre (NGDC) and the British Atmospheric Data Centre (BADC) in the UK, which allows datasets to be more easily integrated and preserved for future use. Many of the data preservation requirements of these two key Natural Environment Research Council (NERC) data centres are common to other earth science data providers and are therefore more widely applicable. The capability for interoperability between datasets stored in different formats is a common requirement for the long-term preservation of data, and the way in which this is supported by the SCIDIP-ES tools and services will be explained.

EarthEd Online: Open Source Online Software to Support Large Courses

NASA Astrophysics Data System (ADS)

Prothero, W. A.

2003-12-01

The purpose of the EarthEd Online software project is to support a modern instructional pedagogy in a large, college level, earth science course. It is an ongoing development project that has evolved in a large general education oceanography course over the last decade. Primary goals for the oceanography course are to support learners in acquiring a knowledge of science process, an appreciation for the relevance of science to society, and basic content knowledge. In order to support these goals, EarthEd incorporates: a) integrated access to various kinds of real earth data (and links to web-based data browsers), b) online discussions, live chat, with integrated graphics editing, linking, and upload, c) online writing, reviewing, and grading, d) online homework assignments, e) on demand grade calculation, and f) instructor grade entry and progress reports. The software was created using Macromedia Director. It is distributed to students on a CDROM and updates are downloaded and installed automatically. Data browsers for plate tectonics relevant data ("Our Dynamic Planet"), a virtual exploration of the East Pacific Rise, the World Ocean Atlas-98, and a fishing simulation game are integrated with the EarthEd software. The system is modular which allows new capabilities, such as new data browsers, to be added. Student reactions to the software are positive overall. They are especially appreciative of the on demand grade computation capability. The online writing, commenting and grading is particularly effective in managing the large number of papers that get submitted. The TA's grade the papers, but the instructor can provide feedback to them as they grade the papers, and a record is maintained of all comments and rubric item grades. Commenting is made easy by simply "dragging" a selection of pre-defined comments into the student's text. Scoring is supported by an integrated scoring rubric. All assignments, rubrics, etc. are configured in text files that are downloaded from the course web server. Students rate the writing assignments as the most effective learning activity in the course. This project is in an evaluation and dissemination phase. An open source model is planned for distribution. For documentation and information about the EarthEd team, see: http://oceanography.geol.ucsb.edu/Collab/software.html

Dagik Earth: A Digital Globe Project for Classrooms, Science Museums, and Research Institutes

NASA Astrophysics Data System (ADS)

Saito, A.; Tsugawa, T.

2017-12-01

Digital globe system is a powerful tool to make the audiences understand phenomena on the Earth and planets in intuitive way. Geo-cosmos of Miraikan, Japan uses 6-m spherical LED, and is one of the largest systems of digital globe. Science on a Sphere (SOS) by NOAA is a digital globe system that is most widely used in science museums around the world. These systems are so expensive that the usage of the digital globes is mainly limited to large-scale science museums. Dagik Earth is a digital globe project that promotes educational programs using digital globe with low cost. It aims to be used especially in classrooms. The cost for the digital globe of Dagik Earth is from several US dollars if PC and PC projector are available. It uses white spheres, such as balloons and balance balls, as the screen. The software is provided by the project with free of charge for the educational usage. The software runs on devices of Windows, Mac and iOS. There are English and Chinese language versions of the PC software besides Japanese version. The number of the registered users of Dagik Earth is about 1,400 in Japan. About 60% of them belongs to schools, 30% to universities and research institutes, and 8% to science museums. In schools, it is used in classes by teachers, and science activities by students. Several teachers have used the system for five years and more. In a students' activity, Dagik Earth contents on the typhoon, solar eclipse, and satellite launch were created and presented in a school festival. This is a good example of the usage of Dagik Earth for STEM education. In the presentation, the system and activity of Dagik Earth will be presented, and the future expansion of the project will be discussed.

A New Generation of Telecommunications for Mars: The Reconfigurable Software Radio

NASA Technical Reports Server (NTRS)

Adams, J.; Horne, W.

2000-01-01

Telecommunications is a critical component for any mission at Mars as it is an enabling function that provides connectivity back to Earth and provides a means for conducting science. New developments in telecommunications, specifically in software - configurable radios, expand the possible approaches for science missions at Mars. These radios provide a flexible and re-configurable platform that can evolve with the mission and that provide an integrated approach to communications and science data processing. Deep space telecommunication faces challenges not normally faced by terrestrial and near-earth communications. Radiation, thermal, highly constrained mass, volume, packaging and reliability all are significant issues. Additionally, once the spacecraft leaves earth, there is no way to go out and upgrade or replace radio components. The reconfigurable software radio is an effort to provide not only a product that is immediately usable in the harsh space environment but also to develop a radio that will stay current as the years pass and technologies evolve.

Fun and Games: using Games and Immersive Exploration to Teach Earth and Space Science

NASA Astrophysics Data System (ADS)

Reiff, P. H.; Sumners, C.

2011-12-01

We have been using games to teach Earth and Space Science for over 15 years. Our software "TicTacToe" has been used continuously at the Houston Museum of Natural Science since 2002. It is the single piece of educational software in the "Earth Forum" suite that holds the attention of visitors the longest - averaging over 10 minutes compared to 1-2 minutes for the other software kiosks. We now have question sets covering solar system, space weather, and Earth science. In 2010 we introduced a new game technology - that of immersive interactive explorations. In our "Tikal Explorer", visitors use a game pad to navigate a three-dimensional environment of the Classic Maya city of Tikal. Teams of students climb pyramids, look for artifacts, identify plants and animals, and site astronomical alignments that predict the annual return of the rains. We also have a new 3D exploration of the International Space Station, where students can fly around and inside the ISS. These interactive explorations are very natural to the video-game generation, and promise to bring educational objectives to experiences that had previously been used strictly for gaming. If space permits, we will set up our portable Discovery Dome in the poster session for a full immersive demonstration of these game environments.

High End Computing Technologies for Earth Science Applications: Trends, Challenges, and Innovations

NASA Technical Reports Server (NTRS)

Parks, John (Technical Monitor); Biswas, Rupak; Yan, Jerry C.; Brooks, Walter F.; Sterling, Thomas L.

2003-01-01

Earth science applications of the future will stress the capabilities of even the highest performance supercomputers in the areas of raw compute power, mass storage management, and software environments. These NASA mission critical problems demand usable multi-petaflops and exabyte-scale systems to fully realize their science goals. With an exciting vision of the technologies needed, NASA has established a comprehensive program of advanced research in computer architecture, software tools, and device technology to ensure that, in partnership with US industry, it can meet these demanding requirements with reliable, cost effective, and usable ultra-scale systems. NASA will exploit, explore, and influence emerging high end computing architectures and technologies to accelerate the next generation of engineering, operations, and discovery processes for NASA Enterprises. This article captures this vision and describes the concepts, accomplishments, and the potential payoff of the key thrusts that will help meet the computational challenges in Earth science applications.

Software Engineering Support of the Third Round of Scientific Grand Challenge Investigations: Earth System Modeling Software Framework Survey

NASA Technical Reports Server (NTRS)

Talbot, Bryan; Zhou, Shu-Jia; Higgins, Glenn; Zukor, Dorothy (Technical Monitor)

2002-01-01

One of the most significant challenges in large-scale climate modeling, as well as in high-performance computing in other scientific fields, is that of effectively integrating many software models from multiple contributors. A software framework facilitates the integration task, both in the development and runtime stages of the simulation. Effective software frameworks reduce the programming burden for the investigators, freeing them to focus more on the science and less on the parallel communication implementation. while maintaining high performance across numerous supercomputer and workstation architectures. This document surveys numerous software frameworks for potential use in Earth science modeling. Several frameworks are evaluated in depth, including Parallel Object-Oriented Methods and Applications (POOMA), Cactus (from (he relativistic physics community), Overture, Goddard Earth Modeling System (GEMS), the National Center for Atmospheric Research Flux Coupler, and UCLA/UCB Distributed Data Broker (DDB). Frameworks evaluated in less detail include ROOT, Parallel Application Workspace (PAWS), and Advanced Large-Scale Integrated Computational Environment (ALICE). A host of other frameworks and related tools are referenced in this context. The frameworks are evaluated individually and also compared with each other.

Software Reviews.

ERIC Educational Resources Information Center

Wulfson, Stephen, Ed.

1987-01-01

Reviews seven computer software programs that can be used in science education programs. Describes courseware which deals with muscles and bones, terminology, classifying animals without backbones, molecular structures, drugs, genetics, and shaping the earth's surface. (TW)

EarthTutor: An Interactive Intelligent Tutoring System for Remote Sensing

NASA Astrophysics Data System (ADS)

Bell, A. M.; Parton, K.; Smith, E.

2005-12-01

Earth science classes in colleges and high schools use a variety of satellite image processing software to teach earth science and remote sensing principles. However, current tutorials for image processing software are often paper-based or lecture-based and do not take advantage of the full potential of the computer context to teach, immerse, and stimulate students. We present EarthTutor, an adaptive, interactive Intelligent Tutoring System (ITS) being built for NASA (National Aeronautics and Space Administration) that is integrated directly with an image processing application. The system aims to foster the use of satellite imagery in classrooms and encourage inquiry-based, hands-on earth science scientific study by providing students with an engaging imagery analysis learning environment. EarthTutor's software is available as a plug-in to ImageJ, a free image processing system developed by the NIH (National Institute of Health). Since it is written in Java, it can be run on almost any platform and also as an applet from the Web. Labs developed for EarthTutor combine lesson content (such as HTML web pages) with interactive activities and questions. In each lab the student learns to measure, calibrate, color, slice, plot and otherwise process and analyze earth science imagery. During the activities, EarthTutor monitors students closely as they work, which allows it to provide immediate feedback that is customized to a particular student's needs. As the student moves through the labs, EarthTutor assesses the student, and tailors the presentation of the content to a student's demonstrated skill level. EarthTutor's adaptive approach is based on emerging Artificial Intelligence (AI) research. Bayesian networks are employed to model a student's proficiency with different earth science and image processing concepts. Agent behaviors are used to track the student's progress through activities and provide guidance when a student encounters difficulty. Through individual feedback and adaptive instruction, EarthTutor aims to offer the benefits of a one-on-one human instructor in a cost-effective, easy-to-use application. We are currently working with remote sensing experts to develop EarthTutor labs for diverse earth science subjects such as global vegetation, stratospheric ozone, oceanography, polar sea ice and natural hazards. These labs will be packaged with the first public release of EarthTutor in December 2005. Custom labs can be designed with the EarthTutor authoring tool. The tool is basic enough to allow teachers to construct tutorials to fit their classroom's curriculum and locale, but also powerful enough to allow advanced users to create highly-interactive labs. Preliminary results from an ongoing pilot study demonstrate that the EarthTutor system is effective and enjoyable teaching tool, relative to traditional satellite imagery teaching methods.

Design of Scalable and Effective Earth Science Collaboration Tool

NASA Astrophysics Data System (ADS)

Maskey, M.; Ramachandran, R.; Kuo, K. S.; Lynnes, C.; Niamsuwan, N.; Chidambaram, C.

2014-12-01

Collaborative research is growing rapidly. Many tools including IDEs are now beginning to incorporate new collaborative features. Software engineering research has shown the effectiveness of collaborative programming and analysis. In particular, drastic reduction in software development time resulting in reduced cost has been highlighted. Recently, we have witnessed the rise of applications that allow users to share their content. Most of these applications scale such collaboration using cloud technologies. Earth science research needs to adopt collaboration technologies to reduce redundancy, cut cost, expand knowledgebase, and scale research experiments. To address these needs, we developed the Earth science collaboration workbench (CWB). CWB provides researchers with various collaboration features by augmenting their existing analysis tools to minimize learning curve. During the development of the CWB, we understood that Earth science collaboration tasks are varied and we concluded that it is not possible to design a tool that serves all collaboration purposes. We adopted a mix of synchronous and asynchronous sharing methods that can be used to perform collaboration across time and location dimensions. We have used cloud technology for scaling the collaboration. Cloud has been highly utilized and valuable tool for Earth science researchers. Among other usages, cloud is used for sharing research results, Earth science data, and virtual machine images; allowing CWB to create and maintain research environments and networks to enhance collaboration between researchers. Furthermore, collaborative versioning tool, Git, is integrated into CWB for versioning of science artifacts. In this paper, we present our experience in designing and implementing the CWB. We will also discuss the integration of collaborative code development use cases for data search and discovery using NASA DAAC and simulation of satellite observations using NASA Earth Observing System Simulation Suite (NEOS3).

Eyes on the Earth 3D

NASA Technical Reports Server (NTRS)

Kulikov, anton I.; Doronila, Paul R.; Nguyen, Viet T.; Jackson, Randal K.; Greene, William M.; Hussey, Kevin J.; Garcia, Christopher M.; Lopez, Christian A.

2013-01-01

Eyes on the Earth 3D software gives scientists, and the general public, a realtime, 3D interactive means of accurately viewing the real-time locations, speed, and values of recently collected data from several of NASA's Earth Observing Satellites using a standard Web browser (climate.nasa.gov/eyes). Anyone with Web access can use this software to see where the NASA fleet of these satellites is now, or where they will be up to a year in the future. The software also displays several Earth Science Data sets that have been collected on a daily basis. This application uses a third-party, 3D, realtime, interactive game engine called Unity 3D to visualize the satellites and is accessible from a Web browser.

Beyond Our Boundaries: Research and Technology

NASA Technical Reports Server (NTRS)

1996-01-01

Topics considered include: Propulsion and Fluid Management; Structures and Dynamics; Materials and Manufacturing Processes; Sensor Technology; Software Technology; Optical Systems; Microgravity Science; Earth System Science; Astrophysics; Solar Physics; and Technology Transfer.

Studying the Earth's Environment from Space: Computer Laboratory Exercised and Instructor Resources

NASA Technical Reports Server (NTRS)

Smith, Elizabeth A.; Alfultis, Michael

1998-01-01

Studying the Earth's Environment From Space is a two-year project to develop a suite of CD-ROMs containing Earth System Science curriculum modules for introductory undergraduate science classes. Lecture notes, slides, and computer laboratory exercises, including actual satellite data and software, are being developed in close collaboration with Carla Evans of NASA GSFC Earth Sciences Directorate Scientific and Educational Endeavors (SEE) project. Smith and Alfultis are responsible for the Oceanography and Sea Ice Processes Modules. The GSFC SEE project is responsible for Ozone and Land Vegetation Modules. This document constitutes a report on the first year of activities of Smith and Alfultis' project.

Building a Science Software Institute: Synthesizing the Lessons Learned from the ISEES and WSSI Software Institute Conceptualization Efforts

NASA Astrophysics Data System (ADS)

Idaszak, R.; Lenhardt, W. C.; Jones, M. B.; Ahalt, S.; Schildhauer, M.; Hampton, S. E.

2014-12-01

The NSF, in an effort to support the creation of sustainable science software, funded 16 science software institute conceptualization efforts. The goal of these conceptualization efforts is to explore approaches to creating the institutional, sociological, and physical infrastructures to support sustainable science software. This paper will present the lessons learned from two of these conceptualization efforts, the Institute for Sustainable Earth and Environmental Software (ISEES - http://isees.nceas.ucsb.edu) and the Water Science Software Institute (WSSI - http://waters2i2.org). ISEES is a multi-partner effort led by National Center for Ecological Analysis and Synthesis (NCEAS). WSSI, also a multi-partner effort, is led by the Renaissance Computing Institute (RENCI). The two conceptualization efforts have been collaborating due to the complementarity of their approaches and given the potential synergies of their science focus. ISEES and WSSI have engaged in a number of activities to address the challenges of science software such as workshops, hackathons, and coding efforts. More recently, the two institutes have also collaborated on joint activities including training, proposals, and papers. In addition to presenting lessons learned, this paper will synthesize across the two efforts to project a unified vision for a science software institute.

Judicious use of custom development in an open source component architecture

NASA Astrophysics Data System (ADS)

Bristol, S.; Latysh, N.; Long, D.; Tekell, S.; Allen, J.

2014-12-01

Modern software engineering is not as much programming from scratch as innovative assembly of existing components. Seamlessly integrating disparate components into scalable, performant architecture requires sound engineering craftsmanship and can often result in increased cost efficiency and accelerated capabilities if software teams focus their creativity on the edges of the problem space. ScienceBase is part of the U.S. Geological Survey scientific cyberinfrastructure, providing data and information management, distribution services, and analysis capabilities in a way that strives to follow this pattern. ScienceBase leverages open source NoSQL and relational databases, search indexing technology, spatial service engines, numerous libraries, and one proprietary but necessary software component in its architecture. The primary engineering focus is cohesive component interaction, including construction of a seamless Application Programming Interface (API) across all elements. The API allows researchers and software developers alike to leverage the infrastructure in unique, creative ways. Scaling the ScienceBase architecture and core API with increasing data volume (more databases) and complexity (integrated science problems) is a primary challenge addressed by judicious use of custom development in the component architecture. Other data management and informatics activities in the earth sciences have independently resolved to a similar design of reusing and building upon established technology and are working through similar issues for managing and developing information (e.g., U.S. Geoscience Information Network; NASA's Earth Observing System Clearing House; GSToRE at the University of New Mexico). Recent discussions facilitated through the Earth Science Information Partners are exploring potential avenues to exploit the implicit relationships between similar projects for explicit gains in our ability to more rapidly advance global scientific cyberinfrastructure.

NetCDF-CF: Supporting Earth System Science with Data Access, Analysis, and Visualization

NASA Astrophysics Data System (ADS)

Davis, E.; Zender, C. S.; Arctur, D. K.; O'Brien, K.; Jelenak, A.; Santek, D.; Dixon, M. J.; Whiteaker, T. L.; Yang, K.

2017-12-01

NetCDF-CF is a community-developed convention for storing and describing earth system science data in the netCDF binary data format. It is an OGC recognized standard with numerous existing FOSS (Free and Open Source Software) and commercial software tools can explore, analyze, and visualize data that is stored and described as netCDF-CF data. To better support a larger segment of the earth system science community, a number of efforts are underway to extend the netCDF-CF convention with the goal of increasing the types of data that can be represented as netCDF-CF data. This presentation will provide an overview and update of work to extend the existing netCDF-CF convention. It will detail the types of earth system science data currently supported by netCDF-CF and the types of data targeted for support by current netCDF-CF convention development efforts. It will also describe some of the tools that support the use of netCDF-CF compliant datasets, the types of data they support, and efforts to extend them to handle the new data types that netCDF-CF will support.

Reviews.

ERIC Educational Resources Information Center

Science Teacher, 1989

1989-01-01

Reviews a software planetarium package called "Sky Travel." Includes two audiovisuals: "Conquest of Space" and "Windows on Science: Earth Science"; and four books: "Small Energy Sources: Choices that Work,""Stonehenge Complete,""Uneasy Careers and Intimate Lives: Women in Science…

Reviews.

ERIC Educational Resources Information Center

Science Teacher, 1989

1989-01-01

Reviews seven software programs: (1) "Science Baseball: Biology" (testing a variety of topics); (2) "Wildways: Understanding Wildlife Conservation"; (3) "Earth Science Computer Test Bank"; (4) "Biology Computer Test Bank"; (5) "Computer Play & Learn Series" (a series of drill and test…

Enhancing GIS Capabilities for High Resolution Earth Science Grids

NASA Astrophysics Data System (ADS)

Koziol, B. W.; Oehmke, R.; Li, P.; O'Kuinghttons, R.; Theurich, G.; DeLuca, C.

2017-12-01

Applications for high performance GIS will continue to increase as Earth system models pursue more realistic representations of Earth system processes. Finer spatial resolution model input and output, unstructured or irregular modeling grids, data assimilation, and regional coordinate systems present novel challenges for GIS frameworks operating in the Earth system modeling domain. This presentation provides an overview of two GIS-driven applications that combine high performance software with big geospatial datasets to produce value-added tools for the modeling and geoscientific community. First, a large-scale interpolation experiment using National Hydrography Dataset (NHD) catchments, a high resolution rectilinear CONUS grid, and the Earth System Modeling Framework's (ESMF) conservative interpolation capability will be described. ESMF is a parallel, high-performance software toolkit that provides capabilities (e.g. interpolation) for building and coupling Earth science applications. ESMF is developed primarily by the NOAA Environmental Software Infrastructure and Interoperability (NESII) group. The purpose of this experiment was to test and demonstrate the utility of high performance scientific software in traditional GIS domains. Special attention will be paid to the nuanced requirements for dealing with high resolution, unstructured grids in scientific data formats. Second, a chunked interpolation application using ESMF and OpenClimateGIS (OCGIS) will demonstrate how spatial subsetting can virtually remove computing resource ceilings for very high spatial resolution interpolation operations. OCGIS is a NESII-developed Python software package designed for the geospatial manipulation of high-dimensional scientific datasets. An overview of the data processing workflow, why a chunked approach is required, and how the application could be adapted to meet operational requirements will be discussed here. In addition, we'll provide a general overview of OCGIS's parallel subsetting capabilities including challenges in the design and implementation of a scientific data subsetter.

Are Earth System model software engineering practices fit for purpose? A case study.

NASA Astrophysics Data System (ADS)

Easterbrook, S. M.; Johns, T. C.

2009-04-01

We present some analysis and conclusions from a case study of the culture and practices of scientists at the Met Office and Hadley Centre working on the development of software for climate and Earth System models using the MetUM infrastructure. The study examined how scientists think about software correctness, prioritize their requirements in making changes, and develop a shared understanding of the resulting models. We conclude that highly customized techniques driven strongly by scientific research goals have evolved for verification and validation of such models. In a formal software engineering context these represents costly, but invaluable, software integration tests with considerable benefits. The software engineering practices seen also exhibit recognisable features of both agile and open source software development projects - self-organisation of teams consistent with a meritocracy rather than top-down organisation, extensive use of informal communication channels, and software developers who are generally also users and science domain experts. We draw some general conclusions on whether these practices work well, and what new software engineering challenges may lie ahead as Earth System models become ever more complex and petascale computing becomes the norm.

NCI's High Performance Computing (HPC) and High Performance Data (HPD) Computing Platform for Environmental and Earth System Data Science

NASA Astrophysics Data System (ADS)

Evans, Ben; Allen, Chris; Antony, Joseph; Bastrakova, Irina; Gohar, Kashif; Porter, David; Pugh, Tim; Santana, Fabiana; Smillie, Jon; Trenham, Claire; Wang, Jingbo; Wyborn, Lesley

2015-04-01

The National Computational Infrastructure (NCI) has established a powerful and flexible in-situ petascale computational environment to enable both high performance computing and Data-intensive Science across a wide spectrum of national environmental and earth science data collections - in particular climate, observational data and geoscientific assets. This paper examines 1) the computational environments that supports the modelling and data processing pipelines, 2) the analysis environments and methods to support data analysis, and 3) the progress so far to harmonise the underlying data collections for future interdisciplinary research across these large volume data collections. NCI has established 10+ PBytes of major national and international data collections from both the government and research sectors based on six themes: 1) weather, climate, and earth system science model simulations, 2) marine and earth observations, 3) geosciences, 4) terrestrial ecosystems, 5) water and hydrology, and 6) astronomy, social and biosciences. Collectively they span the lithosphere, crust, biosphere, hydrosphere, troposphere, and stratosphere. The data is largely sourced from NCI's partners (which include the custodians of many of the major Australian national-scale scientific collections), leading research communities, and collaborating overseas organisations. New infrastructures created at NCI mean the data collections are now accessible within an integrated High Performance Computing and Data (HPC-HPD) environment - a 1.2 PFlop supercomputer (Raijin), a HPC class 3000 core OpenStack cloud system and several highly connected large-scale high-bandwidth Lustre filesystems. The hardware was designed at inception to ensure that it would allow the layered software environment to flexibly accommodate the advancement of future data science. New approaches to software technology and data models have also had to be developed to enable access to these large and exponentially increasing data volumes at NCI. Traditional HPC and data environments are still made available in a way that flexibly provides the tools, services and supporting software systems on these new petascale infrastructures. But to enable the research to take place at this scale, the data, metadata and software now need to evolve together - creating a new integrated high performance infrastructure. The new infrastructure at NCI currently supports a catalogue of integrated, reusable software and workflows from earth system and ecosystem modelling, weather research, satellite and other observed data processing and analysis. One of the challenges for NCI has been to support existing techniques and methods, while carefully preparing the underlying infrastructure for the transition needed for the next class of Data-intensive Science. In doing so, a flexible range of techniques and software can be made available for application across the corpus of data collections available, and to provide a new infrastructure for future interdisciplinary research.

Realtime Decision Making on EO-1 Using Onboard Science Analysis

NASA Technical Reports Server (NTRS)

Sherwood, Robert; Chien, Steve; Davies, Ashley; Mandl, Dan; Frye, Stu

2004-01-01

Recent autonomy experiments conducted on Earth Observing 1 (EO-1) using the Autonomous Sciencecraft Experiment (ASE) flight software has been used to classify key features in hyperspectral images captured by EO-1. Furthermore, analysis is performed by this software onboard EO-1 and then used to modify the operational plan without interaction from the ground. This paper will outline the overall operations concept and provide some details and examples of the onboard science processing, science analysis, and replanning.

Automating U-Pb IDTIMS data reduction and reporting: Cyberinfrastructure meets geochronology

NASA Astrophysics Data System (ADS)

Bowring, J. F.; McLean, N.; Walker, J. D.; Ash, J. M.

2009-12-01

We demonstrate the efficacy of an interdisciplinary effort between software engineers and geochemists to produce working cyberinfrastructure for geochronology. This collaboration between CIRDLES, EARTHTIME and EarthChem has produced the software programs Tripoli and U-Pb_Redux as the cyber-backbone for the ID-TIMS community. This initiative incorporates shared isotopic tracers, data-reduction algorithms and the archiving and retrieval of data and results. The resulting system facilitates detailed inter-laboratory comparison and a new generation of cooperative science. The resolving power of geochronological data in the earth sciences is dependent on the precision and accuracy of many isotopic measurements and corrections. Recent advances in U-Pb geochronology have reinvigorated its application to problems such as precise timescale calibration, processes of crustal evolution, and early solar system dynamics. This project provides a heretofore missing common data reduction protocol, thus promoting the interpretation of precise geochronology and enabling inter-laboratory comparison. U-Pb_Redux is an open-source software program that provides end-to-end support for the analysis of uranium-lead geochronological data. The system reduces raw mass spectrometer data to U-Pb dates, allows users to interpret ages from these data, and then provides for the seamless federation of the results, coming from many labs, into a community web-accessible database using standard and open techniques. This EarthChem GeoChron database depends also on keyed references to the SESAR sample database. U-Pb_Redux currently provides interactive concordia and weighted mean plots and uncertainty contribution visualizations; it produces publication-quality concordia and weighted mean plots and customizable data tables. This initiative has achieved the goal of standardizing the data elements of a complete reduction and analysis of uranium-lead data, which are expressed using extensible markup language schema definition (XSD) artifacts. U-Pb_Redux leverages the freeware program Tripoli, which imports raw mass spectrometer data files and supports interactive review and archiving of isotopic data. Tripoli facilitates the visualization of temporal trends and scatter during measurement, statistically rigorous filtering of data and supports oxide and fractionation corrections. The Cyber Infrastructure Research and Development Lab for the Earth Sciences (CIRDLES) collaboratively integrates domain-specific software engineering with the efforts EARTHTIME and Earthchem. The EARTHTIME initiative pursues consensus-based approaches to geochemical data reduction, and the EarthChem initiative pursues the creation of data repositories for all geochemical data. CIRDLES develops software and systems for geochronology. This collaboration benefits the earth sciences by enabling geochemists to focus on their specialties using robust software that produces reliable results. This collaboration benefits software engineering by providing research opportunities to improve process methodologies used in the design and implementation of domain-specific solutions.

Signing Earth Science: Accommodations for Students Who Are Deaf or Hard of Hearing and Whose First Language Is Sign

NASA Astrophysics Data System (ADS)

Vesel, J.; Hurdich, J.

2014-12-01

TERC and Vcom3D used the SigningAvatar® accessibility software to research and develop a Signing Earth Science Dictionary (SESD) of approximately 750 standards-based Earth science terms for high school students who are deaf and hard of hearing and whose first language is sign. The partners also evaluated the extent to which use of the SESD furthers understanding of Earth science content, command of the language of Earth science, and the ability to study Earth science independently. Disseminated as a Web-based version and App, the SESD is intended to serve the ~36,000 grade 9-12 students who are deaf or hard of hearing and whose first language is sign, the majority of whom leave high school reading at the fifth grade or below. It is also intended for teachers and interpreters who interact with members of this population and professionals working with Earth science education programs during field trips, internships etc. The signed SESD terms have been incorporated into a Mobile Communication App (MCA). This App for Androids is intended to facilitate communication between English speakers and persons who communicate in American Sign Language (ASL) or Signed English. It can translate words, phrases, or whole sentences from written or spoken English to animated signing. It can also fingerspell proper names and other words for which there are no signs. For our presentation, we will demonstrate the interactive features of the SigningAvatar® accessibility software that support the three principles of Universal Design for Learning (UDL) and have been incorporated into the SESD and MCA. Results from national field-tests will provide insight into the SESD's and MCA's potential applicability beyond grade 12 as accommodations that can be used for accessing the vocabulary deaf and hard of hearing students need for study of the geosciences and for facilitating communication about content. This work was funded in part by grants from NSF and the U.S. Department of Education.

Applications of SAR Interferometry in Earth and Environmental Science Research

PubMed Central

Zhou, Xiaobing; Chang, Ni-Bin; Li, Shusun

2009-01-01

This paper provides a review of the progress in regard to the InSAR remote sensing technique and its applications in earth and environmental sciences, especially in the past decade. Basic principles, factors, limits, InSAR sensors, available software packages for the generation of InSAR interferograms were summarized to support future applications. Emphasis was placed on the applications of InSAR in seismology, volcanology, land subsidence/uplift, landslide, glaciology, hydrology, and forestry sciences. It ends with a discussion of future research directions. PMID:22573992

Sensor Web Technology Challenges and Advancements for the Earth Science Decadal Survey Era

NASA Technical Reports Server (NTRS)

Norton, Charles D.; Moe, Karen

2011-01-01

This paper examines the Earth science decadal survey era and the role ESTO developed sensor web technologies can contribute to the scientific observations. This includes hardware and software technology advances for in-situ and in-space measurements. Also discussed are emerging areas of importance such as the potential of small satellites for sensor web based observations as well as advances in data fusion critical to the science and societal benefits of future missions, and the challenges ahead.

Applications of SAR Interferometry in Earth and Environmental Science Research.

PubMed

Zhou, Xiaobing; Chang, Ni-Bin; Li, Shusun

2009-01-01

This paper provides a review of the progress in regard to the InSAR remote sensing technique and its applications in earth and environmental sciences, especially in the past decade. Basic principles, factors, limits, InSAR sensors, available software packages for the generation of InSAR interferograms were summarized to support future applications. Emphasis was placed on the applications of InSAR in seismology, volcanology, land subsidence/uplift, landslide, glaciology, hydrology, and forestry sciences. It ends with a discussion of future research directions.

Standards guide for space and earth sciences computer software

NASA Technical Reports Server (NTRS)

Mason, G.; Chapman, R.; Klinglesmith, D.; Linnekin, J.; Putney, W.; Shaffer, F.; Dapice, R.

1972-01-01

Guidelines for the preparation of systems analysis and programming work statements are presented. The data is geared toward the efficient administration of available monetary and equipment resources. Language standards and the application of good management techniques to software development are emphasized.

Software Carpentry In The Hydrological Sciences

NASA Astrophysics Data System (ADS)

Ahmadia, A. J.; Kees, C. E.

2014-12-01

Scientists are spending an increasing amount of time building and using hydrology software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. As hydrology models increase in capability and enter use by a growing number of scientists and their communities, it is important that the scientific software development practices scale up to meet the challenges posed by increasing software complexity, lengthening software lifecycles, a growing number of stakeholders and contributers, and a broadened developer base that extends from application domains to high performance computing centers. Many of these challenges in complexity, lifecycles, and developer base have been successfully met by the open source community, and there are many lessons to be learned from their experiences and practices. Additionally, there is much wisdom to be found in the results of research studies conducted on software engineering itself. Software Carpentry aims to bridge the gap between the current state of software development and these known best practices for scientific software development, with a focus on hands-on exercises and practical advice. In 2014, Software Carpentry workshops targeting earth/environmental sciences and hydrological modeling have been organized and run at the Massachusetts Institute of Technology, the US Army Corps of Engineers, the Community Surface Dynamics Modeling System Annual Meeting, and the Earth Science Information Partners Summer Meeting. In this presentation, we will share some of the successes in teaching this material, as well as discuss and present instructional material specific to hydrological modeling.

Experience with Data Science as an Intern with the Jet Propulsion Laboratory

NASA Astrophysics Data System (ADS)

Whittell, J.; Mattmann, C. A.; Whitehall, K. D.; Ramirez, P.; Goodale, C. E.; Boustani, M.; Hart, A. F.; Kim, J.; Waliser, D. E.; Joyce, M. J.

2013-12-01

The Regional Climate Model Evaluation System (RCMES, http://rcmes.jpl.nasa.gov) at NASA's Jet Propulsion Laboratory seeks to improve regional climate model output by comparing past model predictions with Earth-orbiting satellite data (Mattmann et al. 2013). RCMES ingests satellite and RCM data and processes these data into a common format; as needed, the software queries the RCMES database for these datasets, on which it runs a series of statistical metrics including model-satellite comparisons. The development of the RCMES software relies on collaboration between climatologists and computer scientists, as evinced by RCMES longstanding work with CORDEX (Kim et al. 2012). Over a total of 17 weeks in 2011, 2012, and 2013, I worked as an intern at NASA's Jet Propulsion Laboratory in a supportive capacity for RCMES. A high school student, I had no formal background in either Earth science or computer technology, but was immersed in both fields. In 2011, I researched three earth-science data management projects, producing a high-level explanation of these endeavors. The following year, I studied Python, contributing a command-line user interface to the RCMES project code. In 2013, I assisted with data acquisition, wrote a file header information plugin, and the visualization tool GrADS. The experience demonstrated the importance of an interdisciplinary approach to data processing: to streamline data ingestion and processing, scientists must understand, at least on a high-level, any programs they might utilize while to best serve the needs of earth scientists, software engineers must understand the science behind the data they handle.

Supporting Weather Data

NASA Technical Reports Server (NTRS)

2004-01-01

Since its founding in 1992, Global Science & Technology, Inc. (GST), of Greenbelt, Maryland, has been developing technologies and providing services in support of NASA scientific research. GST specialties include scientific analysis, science data and information systems, data visualization, communications, networking and Web technologies, computer science, and software system engineering. As a longtime contractor to Goddard Space Flight Center s Earth Science Directorate, GST scientific, engineering, and information technology staff have extensive qualifications with the synthesis of satellite, in situ, and Earth science data for weather- and climate-related projects. GST s experience in this arena is end-to-end, from building satellite ground receiving systems and science data systems, to product generation and research and analysis.

Modernizing Earth and Space Science Modeling Workflows in the Big Data Era

NASA Astrophysics Data System (ADS)

Kinter, J. L.; Feigelson, E.; Walker, R. J.; Tino, C.

2017-12-01

Modeling is a major aspect of the Earth and space science research. The development of numerical models of the Earth system, planetary systems or astrophysical systems is essential to linking theory with observations. Optimal use of observations that are quite expensive to obtain and maintain typically requires data assimilation that involves numerical models. In the Earth sciences, models of the physical climate system are typically used for data assimilation, climate projection, and inter-disciplinary research, spanning applications from analysis of multi-sensor data sets to decision-making in climate-sensitive sectors with applications to ecosystems, hazards, and various biogeochemical processes. In space physics, most models are from first principles, require considerable expertise to run and are frequently modified significantly for each case study. The volume and variety of model output data from modeling Earth and space systems are rapidly increasing and have reached a scale where human interaction with data is prohibitively inefficient. A major barrier to progress is that modeling workflows isn't deemed by practitioners to be a design problem. Existing workflows have been created by a slow accretion of software, typically based on undocumented, inflexible scripts haphazardly modified by a succession of scientists and students not trained in modern software engineering methods. As a result, existing modeling workflows suffer from an inability to onboard new datasets into models; an inability to keep pace with accelerating data production rates; and irreproducibility, among other problems. These factors are creating an untenable situation for those conducting and supporting Earth system and space science. Improving modeling workflows requires investments in hardware, software and human resources. This paper describes the critical path issues that must be targeted to accelerate modeling workflows, including script modularization, parallelization, and automation in the near term, and longer term investments in virtualized environments for improved scalability, tolerance for lossy data compression, novel data-centric memory and storage technologies, and tools for peer reviewing, preserving and sharing workflows, as well as fundamental statistical and machine learning algorithms.

Innovation Balanced with Community Collaboration, ESIP

NASA Astrophysics Data System (ADS)

White, C. E.

2016-12-01

Representing the Federation of Earth Science Information Partners (ESIP), I'll speak to how the organization supports a diverse community of science, data and information technology practitioners to foster innovation balanced with community collaboration on the why and how. ESIP builds connections among organizations, sectors, disciplines, systems and data so participants can leverage their collective expertise and technical capacity to address common challenges. This work improves Earth science data management practices and makes Earth science data more discoverable, accessible and useful to researchers, policy makers and the public. Greater than ever is the desire for guidelines in software/code development, evaluation of technology and its artifacts, and community validation of products and practices. ESIP's mechanisms for evaluation and assessment range from informal to formal, with opportunities for all.

"We Put on the Glasses and Moon Comes Closer!" Urban Second Graders Exploring the Earth, the Sun and Moon through 3D Technologies in a Science and Literacy Unit

ERIC Educational Resources Information Center

Isik-Ercan, Zeynep; Zeynep Inan, Hatice; Nowak, Jeffrey A.; Kim, Beomjin

2014-01-01

This qualitative case study describes (a) the ways 3D visualization, coupled with other science and literacy experiences, supported young children's first exploration of the Earth-Sun-Moon system and (b) the perspectives of classroom teachers and children on using 3D visualization. We created three interactive 3D software modules that simulate day…

Explore Earth Science Datasets for STEM with the NASA GES DISC Online Visualization and Analysis Tool, Giovanni

NASA Technical Reports Server (NTRS)

Liu, Z.; Acker, J.; Kempler, S.

2016-01-01

The NASA Goddard Earth Sciences (GES) Data and Information Services Center(DISC) is one of twelve NASA Science Mission Directorate (SMD) Data Centers that provide Earth science data, information, and services to users around the world including research and application scientists, students, citizen scientists, etc. The GESDISC is the home (archive) of remote sensing datasets for NASA Precipitation and Hydrology, Atmospheric Composition and Dynamics, etc. To facilitate Earth science data access, the GES DISC has been developing user-friendly data services for users at different levels in different countries. Among them, the Geospatial Interactive Online Visualization ANd aNalysis Infrastructure (Giovanni, http:giovanni.gsfc.nasa.gov) allows users to explore satellite-based datasets using sophisticated analyses and visualization without downloading data and software, which is particularly suitable for novices (such as students) to use NASA datasets in STEM (science, technology, engineering and mathematics) activities. In this presentation, we will briefly introduce Giovanni along with examples for STEM activities.

Networking Antarctic Research Discoveries to a Science Classroom

ERIC Educational Resources Information Center

Podoll, Andrew; Olson, Barry; Montplaisir, Lisa; Schwert, Donald; McVicar, Kim; Comez, Dogan; Martin, William

2008-01-01

In 2006, a unique scenario transported eighth-grade Earth science students from the classroom into the cold, dry, pristine surroundings of Antarctica. The mission was to expose the students to hands-on science using satellite telephones, Contact 3.0 software, and some very creative improvisation. In addition, a detailed, well-illustrated blog…

Software Reviews.

ERIC Educational Resources Information Center

McGrath, Diane, Ed.

1989-01-01

Provides reviews of courseware entitled: "Mystery Matter," which is a series that supplements the basic inquiry process; "Jumping Math Flash," which is an arcade-game program with arithmetic problems; and "Quest for Files: Science Rocks and Minerals The Upper Crust," which is a database program for earth science.…

The EOSDIS software challenge

NASA Astrophysics Data System (ADS)

Jaworski, Allan

1993-08-01

The Earth Observing System (EOS) Data and Information System (EOSDIS) will serve as a major resource for the earth science community, supporting both command and control of complex instruments onboard the EOS spacecraft and the archiving, distribution, and analysis of data. The scale of EOSDIS and the volume of multidisciplinary research to be conducted using EOSDIS resources will produce unparalleled needs for technology transparency, data integration, and system interoperability. The scale of this effort far outscopes any previous scientific data system in its breadth or operational and performance needs. Modern hardware technology can meet the EOSDIS technical challenge. Multiprocessing speeds of many giga-flops are being realized by modern computers. Online storage disk, optical disk, and videocassette libraries with storage capacities of many terabytes are now commercially available. Radio frequency and fiber optics communications networks with gigabit rates are demonstrable today. It remains, of course, to perform the system engineering to establish the requirements, architectures, and designs that will implement the EOSDIS systems. Software technology, however, has not enjoyed the price/performance advances of hardware. Although we have learned to engineer hardware systems which have several orders of magnitude greater complexity and performance than those built in the 1960's, we have not made comparable progress in dramatically reducing the cost of software development. This lack of progress may significantly reduce our capabilities to achieve economically the types of highly interoperable, responsive, integraded, and productive environments which are needed by the earth science community. This paper describes some of the EOSDIS software requirements and current activities in the software community which are applicable to meeting the EOSDIS challenge. Some of these areas include intelligent user interfaces, software reuse libraries, and domain engineering. Also included are discussions of applicable standards in the areas of operating systems interfaces, user interfaces, communications interfaces, data transport, and science algorithm support, and their role in supporting the software development process.

NASA's Earth Observing System Data and Information System (EOSDIS)

NASA Technical Reports Server (NTRS)

Behnke, Jeanne

2017-01-01

EOSDIS is a data system created by NASA to manage its collection of Earth Science data. This presentation is a brief description of the data system provided to the general user community. The presentation reviews the data types, management and software development techniques in use to organize the system.

Earth-Science Data Co-Locating Tool

NASA Technical Reports Server (NTRS)

Lee, Seungwon; Pan, Lei; Block, Gary L.

2012-01-01

This software is used to locate Earth-science satellite data and climate-model analysis outputs in space and time. This enables the direct comparison of any set of data with different spatial and temporal resolutions. It is written in three separate modules that are clearly separated for their functionality and interface with other modules. This enables a fast development of supporting any new data set. In this updated version of the tool, several new front ends are developed for new products. This software finds co-locatable data pairs for given sets of data products and creates new data products that share the same spatial and temporal coordinates. This facilitates the direct comparison between the two heterogeneous datasets and the comprehensive and synergistic use of the datasets.

Department of Energy's Virtual Lab Infrastructure for Integrated Earth System Science Data

NASA Astrophysics Data System (ADS)

Williams, D. N.; Palanisamy, G.; Shipman, G.; Boden, T.; Voyles, J.

2014-12-01

The U.S. Department of Energy (DOE) Office of Biological and Environmental Research (BER) Climate and Environmental Sciences Division (CESD) produces a diversity of data, information, software, and model codes across its research and informatics programs and facilities. This information includes raw and reduced observational and instrumentation data, model codes, model-generated results, and integrated data products. Currently, most of this data and information are prepared and shared for program specific activities, corresponding to CESD organization research. A major challenge facing BER CESD is how best to inventory, integrate, and deliver these vast and diverse resources for the purpose of accelerating Earth system science research. This talk provides a concept for a CESD Integrated Data Ecosystem and an initial roadmap for its implementation to address this integration challenge in the "Big Data" domain. Towards this end, a new BER Virtual Laboratory Infrastructure will be presented, which will include services and software connecting the heterogeneous CESD data holdings, and constructed with open source software based on industry standards, protocols, and state-of-the-art technology.

Explore Earth Science Datasets for STEM with the NASA GES DISC Online Visualization and Analysis Tool, GIOVANNI

NASA Astrophysics Data System (ADS)

Liu, Z.; Acker, J. G.; Kempler, S. J.

2016-12-01

The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is one of twelve NASA Science Mission Directorate (SMD) Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students around the world. The GES DISC is the home (archive) of NASA Precipitation and Hydrology, as well as Atmospheric Composition and Dynamics remote sensing data and information. To facilitate Earth science data access, the GES DISC has been developing user-friendly data services for users at different levels. Among them, the Geospatial Interactive Online Visualization ANd aNalysis Infrastructure (GIOVANNI, http://giovanni.gsfc.nasa.gov/) allows users to explore satellite-based data using sophisticated analyses and visualizations without downloading data and software, which is particularly suitable for novices to use NASA datasets in STEM activities. In this presentation, we will briefly introduce GIOVANNI and recommend datasets for STEM. Examples of using these datasets in STEM activities will be presented as well.

R and T report: Goddard Space Flight Center

NASA Technical Reports Server (NTRS)

Soffen, Gerald A. (Editor)

1993-01-01

The 1993 Research and Technology Report for Goddard Space Flight Center is presented. Research covered areas such as (1) flight projects; (2) space sciences including cosmology, high energy, stars and galaxies, and the solar system; (3) earth sciences including process modeling, hydrology/cryology, atmospheres, biosphere, and solid earth; (4) networks, planning, and information systems including support for mission operations, data distribution, advanced software and systems engineering, and planning/scheduling; and (5) engineering and materials including spacecraft systems, material and testing, optics and photonics and robotics.

Ground-based simulation of telepresence for materials science experiments. [remote viewing and control of processes aboard Space Station

NASA Technical Reports Server (NTRS)

Johnston, James C.; Rosenthal, Bruce N.; Bonner, Mary JO; Hahn, Richard C.; Herbach, Bruce

1989-01-01

A series of ground-based telepresence experiments have been performed to determine the minimum video frame rate and resolution required for the successive performance of materials science experiments in space. The approach used is to simulate transmission between earth and space station with transmission between laboratories on earth. The experiments include isothermal dendrite growth, physical vapor transport, and glass melting. Modifications of existing apparatus, software developed, and the establishment of an inhouse network are reviewed.

Giovanni - The Bridge Between Data and Science

NASA Technical Reports Server (NTRS)

Liu, Zhong; Acker, James

2017-01-01

This article describes new features in the Geospatial Interactive Online Visualization ANd aNalysis Infrastructure (Giovanni), a user-friendly online tool that enables visualization, analysis, and assessment of NASA Earth science data sets without downloading data and software. Since the satellite era began, data collected from Earth-observing satellites have been widely used in research and applications; however, using satellite-based data sets can still be a challenge to many. To facilitate data access and evaluation, as well as scientific exploration and discovery, the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) has developed Giovanni for a wide range of users around the world. This article describes the latest capabilities of Giovanni with examples, and discusses future plans for this innovative system.

An interactive environment for the analysis of large Earth observation and model data sets

NASA Technical Reports Server (NTRS)

Bowman, Kenneth P.; Walsh, John E.; Wilhelmson, Robert B.

1993-01-01

We propose to develop an interactive environment for the analysis of large Earth science observation and model data sets. We will use a standard scientific data storage format and a large capacity (greater than 20 GB) optical disk system for data management; develop libraries for coordinate transformation and regridding of data sets; modify the NCSA X Image and X DataSlice software for typical Earth observation data sets by including map transformations and missing data handling; develop analysis tools for common mathematical and statistical operations; integrate the components described above into a system for the analysis and comparison of observations and model results; and distribute software and documentation to the scientific community.

An interactive environment for the analysis of large Earth observation and model data sets

NASA Technical Reports Server (NTRS)

Bowman, Kenneth P.; Walsh, John E.; Wilhelmson, Robert B.

1992-01-01

We propose to develop an interactive environment for the analysis of large Earth science observation and model data sets. We will use a standard scientific data storage format and a large capacity (greater than 20 GB) optical disk system for data management; develop libraries for coordinate transformation and regridding of data sets; modify the NCSA X Image and X Data Slice software for typical Earth observation data sets by including map transformations and missing data handling; develop analysis tools for common mathematical and statistical operations; integrate the components described above into a system for the analysis and comparison of observations and model results; and distribute software and documentation to the scientific community.

SCEC-VDO: A New 3-Dimensional Visualization and Movie Making Software for Earth Science Data

NASA Astrophysics Data System (ADS)

Milner, K. R.; Sanskriti, F.; Yu, J.; Callaghan, S.; Maechling, P. J.; Jordan, T. H.

2016-12-01

Researchers and undergraduate interns at the Southern California Earthquake Center (SCEC) have created a new 3-dimensional (3D) visualization software tool called SCEC Virtual Display of Objects (SCEC-VDO). SCEC-VDO is written in Java and uses the Visualization Toolkit (VTK) backend to render 3D content. SCEC-VDO offers advantages over existing 3D visualization software for viewing georeferenced data beneath the Earth's surface. Many popular visualization packages, such as Google Earth, restrict the user to views of the Earth from above, obstructing views of geological features such as faults and earthquake hypocenters at depth. SCEC-VDO allows the user to view data both above and below the Earth's surface at any angle. It includes tools for viewing global earthquakes from the U.S. Geological Survey, faults from the SCEC Community Fault Model, and results from the latest SCEC models of earthquake hazards in California including UCERF3 and RSQSim. Its object-oriented plugin architecture allows for the easy integration of new regional and global datasets, regardless of the science domain. SCEC-VDO also features rich animation capabilities, allowing users to build a timeline with keyframes of camera position and displayed data. The software is built with the concept of statefulness, allowing for reproducibility and collaboration using an xml file. A prior version of SCEC-VDO, which began development in 2005 under the SCEC Undergraduate Studies in Earthquake Information Technology internship, used the now unsupported Java3D library. Replacing Java3D with the widely supported and actively developed VTK libraries not only ensures that SCEC-VDO can continue to function for years to come, but allows for the export of 3D scenes to web viewers and popular software such as Paraview. SCEC-VDO runs on all recent 64-bit Windows, Mac OS X, and Linux systems with Java 8 or later. More information, including downloads, tutorials, and example movies created fully within SCEC-VDO is available here: http://scecvdo.usc.edu

Internet-Based Software Tools for Analysis and Processing of LIDAR Point Cloud Data via the OpenTopography Portal

NASA Astrophysics Data System (ADS)

Nandigam, V.; Crosby, C. J.; Baru, C.; Arrowsmith, R.

2009-12-01

LIDAR is an excellent example of the new generation of powerful remote sensing data now available to Earth science researchers. Capable of producing digital elevation models (DEMs) more than an order of magnitude higher resolution than those currently available, LIDAR data allows earth scientists to study the processes that contribute to landscape evolution at resolutions not previously possible, yet essential for their appropriate representation. Along with these high-resolution datasets comes an increase in the volume and complexity of data that the user must efficiently manage and process in order for it to be scientifically useful. Although there are expensive commercial LIDAR software applications available, processing and analysis of these datasets are typically computationally inefficient on the conventional hardware and software that is currently available to most of the Earth science community. We have designed and implemented an Internet-based system, the OpenTopography Portal, that provides integrated access to high-resolution LIDAR data as well as web-based tools for processing of these datasets. By using remote data storage and high performance compute resources, the OpenTopography Portal attempts to simplify data access and standard LIDAR processing tasks for the Earth Science community. The OpenTopography Portal allows users to access massive amounts of raw point cloud LIDAR data as well as a suite of DEM generation tools to enable users to generate custom digital elevation models to best fit their science applications. The Cyberinfrastructure software tools for processing the data are freely available via the portal and conveniently integrated with the data selection in a single user-friendly interface. The ability to run these tools on powerful Cyberinfrastructure resources instead of their own labs provides a huge advantage in terms of performance and compute power. The system also encourages users to explore data processing methods and the variations in algorithm parameters since all of the processing is done remotely and numerous jobs can be submitted in sequence. The web-based software also eliminates the need for users to deal with the hassles and costs associated with software installation and licensing while providing adequate disk space for storage and personal job archival capability. Although currently limited to data access and DEM generation tasks, the OpenTopography system is modular in design and can be modified to accommodate new processing tools as they become available. We are currently exploring implementation of higher-level DEM analysis tasks in OpenTopography, since such processing is often computationally intensive and thus lends itself to utilization of cyberinfrastructure. Products derived from OpenTopography processing are available in a variety of formats ranging from simple Google Earth visualizations of LIDAR-derived hillshades to various GIS-compatible grid formats. To serve community users less interested in data processing, OpenTopography also hosts 1 km^2 digital elevation model tiles as well as Google Earth image overlays for a synoptic view of the data.

Cloud Computing Technologies Facilitate Earth Research

NASA Technical Reports Server (NTRS)

2015-01-01

Under a Space Act Agreement, NASA partnered with Seattle-based Amazon Web Services to make the agency's climate and Earth science satellite data publicly available on the company's servers. Users can access the data for free, but they can also pay to use Amazon's computing services to analyze and visualize information using the same software available to NASA researchers.

Shaping Watersheds Exhibit: An Interactive, Augmented Reality Sandbox for Advancing Earth Science Education

NASA Astrophysics Data System (ADS)

Reed, S. E.; Kreylos, O.; Hsi, S.; Kellogg, L. H.; Schladow, G.; Yikilmaz, M. B.; Segale, H.; Silverman, J.; Yalowitz, S.; Sato, E.

2014-12-01

One of the challenges involved in learning earth science is the visualization of processes which occur over large spatial and temporal scales. Shaping Watersheds is an interactive 3D exhibit developed with support from the National Science Foundation by a team of scientists, science educators, exhibit designers, and evaluation professionals, in an effort to improve public understanding and stewardship of freshwater ecosystems. The hands-on augmented reality sandbox allows users to create topographic models by shaping real "kinetic" sand. The exhibit is augmented in real time by the projection of a color elevation map and contour lines which exactly match the sand topography, using a closed loop of a Microsoft Kinect 3D camera, simulation and visualization software, and a data projector. When an object (such as a hand) is sensed at a particular height above the sand surface, virtual rain appears as a blue visualization on the surface and a flow simulation (based on a depth-integrated version of the Navier-Stokes equations) moves the water across the landscape. The blueprints and software to build the sandbox are freely available online (http://3dh2o.org/71/) under the GNU General Public License, together with a facilitator's guide and a public forum (with how-to documents and FAQs). Using these resources, many institutions (20 and counting) have built their own exhibits to teach a wide variety of topics (ranging from watershed stewardship, hydrology, geology, topographic map reading, and planetary science) in a variety of venues (such as traveling science exhibits, K-12 schools, university earth science departments, and museums). Additional exhibit extensions and learning modules are planned such as tsunami modeling and prediction. Moreover, a study is underway at the Lawrence Hall of Science to assess how various aspects of the sandbox (such as visualization color scheme and level of interactivity) affect understanding of earth science concepts.

General Education Engagement in Earth and Planetary Science through an Earth-Mars Analog Curriculum

NASA Astrophysics Data System (ADS)

Chan, M. A.; Kahmann-Robinson, J. A.

2012-12-01

The successes of NASA rovers on Mars and new remote sensing imagery at unprecedented resolution can awaken students to the valuable application of Earth analogs to understand Mars processes and the possibilities of extraterrestrial life. Mars For Earthlings (MFE) modules and curriculum are designed as general science content introducing a pedagogical approach of integrating Earth science principles and Mars imagery. The content can be easily imported into existing or new general education courses. MFE learning modules introduce students to Google Mars and JMARS software packages and encourage Mars imagery analysis to predict habitable environments on Mars drawing on our knowledge of extreme environments on Earth. "Mars Mission" projects help students develop teamwork and presentation skills. Topic-oriented module examples include: Remote Sensing Mars, Olympus Mons and Igneous Rocks, Surface Sculpting Forces, and Extremophiles. The learning modules package imagery, video, lab, and in-class activities for each topic and are available online for faculty to adapt or adopt in courses either individually or collectively. A piloted MFE course attracted a wide range of non-majors to non-degree seeking senior citizens. Measurable outcomes of the piloted MFE curriculum were: heightened enthusiasm for science, awareness of NASA programs, application of Earth science principles, and increased science literacy to help students develop opinions of current issues (e.g., astrobiology or related government-funded research). Earth and Mars analog examples can attract and engage future STEM students as the next generation of earth, planetary, and astrobiology scientists.

Data to Pictures to Data: Outreach Imaging Software and Metadata

NASA Astrophysics Data System (ADS)

Levay, Z.

2011-07-01

A convergence between astronomy science and digital photography has enabled a steady stream of visually rich imagery from state-of-the-art data. The accessibility of hardware and software has facilitated an explosion of astronomical images for outreach, from space-based observatories, ground-based professional facilities and among the vibrant amateur astrophotography community. Producing imagery from science data involves a combination of custom software to understand FITS data (FITS Liberator), off-the-shelf, industry-standard software to composite multi-wavelength data and edit digital photographs (Adobe Photoshop), and application of photo/image-processing techniques. Some additional effort is needed to close the loop and enable this imagery to be conveniently available for various purposes beyond web and print publication. The metadata paradigms in digital photography are now complying with FITS and science software to carry information such as keyword tags and world coordinates, enabling these images to be usable in more sophisticated, imaginative ways exemplified by Sky in Google Earth and World Wide Telescope.

Earth Exploration Toolbook Workshops: Helping Teachers and Students Analyze Web-based Scientific Data

NASA Astrophysics Data System (ADS)

McAuliffe, C.; Ledley, T.; Dahlman, L.; Haddad, N.

2007-12-01

One of the challenges faced by Earth science teachers, particularly in K-12 settings, is that of connecting scientific research to classroom experiences. Helping teachers and students analyze Web-based scientific data is one way to bring scientific research to the classroom. The Earth Exploration Toolbook (EET) was developed as an online resource to accomplish precisely that. The EET consists of chapters containing step-by-step instructions for accessing Web-based scientific data and for using a software analysis tool to explore issues or concepts in science, technology, and mathematics. For example, in one EET chapter, users download Earthquake data from the USGS and bring it into a geographic information system (GIS), analyzing factors affecting the distribution of earthquakes. The goal of the EET Workshops project is to provide professional development that enables teachers to incorporate Web-based scientific data and analysis tools in ways that meet their curricular needs. In the EET Workshops project, Earth science teachers participate in a pair of workshops that are conducted in a combined teleconference and Web-conference format. In the first workshop, the EET Data Analysis Workshop, participants are introduced to the National Science Digital Library (NSDL) and the Digital Library for Earth System Education (DLESE). They also walk through an Earth Exploration Toolbook (EET) chapter and discuss ways to use Earth science datasets and tools with their students. In a follow-up second workshop, the EET Implementation Workshop, teachers share how they used these materials in the classroom by describing the projects and activities that they carried out with students. The EET Workshops project offers unique and effective professional development. Participants work at their own Internet-connected computers, and dial into a toll-free group teleconference for step-by-step facilitation and interaction. They also receive support via Elluminate, a Web-conferencing software program. The software allows participants to see the facilitator's computer as the analysis techniques of an EET chapter are demonstrated. If needed, the facilitator can also view individual participant's computers, assisting with technical difficulties. In addition, it enables a large number of end users, often widely distributed, to engage in interactive, real-time instruction. In this presentation, we will describe the elements of an EET Workshop pair, highlighting the capabilities and use of Elluminate. We will share lessons learned through several years of conducting this type of professional development. We will also share findings from survey data gathered from teachers who have participated in our workshops.

Coordinated Science Campaign Scheduling for Sensor Webs

NASA Technical Reports Server (NTRS)

Edgington, Will; Morris, Robert; Dungan, Jennifer; Williams, Jenny; Carlson, Jean; Fleming, Damian; Wood, Terri; Yorke-Smith, Neil

2005-01-01

Future Earth observing missions will study different aspects and interacting pieces of the Earth's eco-system. Scientists are designing increasingly complex, interdisciplinary campaigns to exploit the diverse capabilities of multiple Earth sensing assets. In addition, spacecraft platforms are being configured into clusters, trains, or other distributed organizations in order to improve either the quality or the coverage of observations. These simultaneous advances in the design of science campaigns and in the missions that will provide the sensing resources to support them offer new challenges in the coordination of data and operations that are not addressed by current practice. For example, the scheduling of scientific observations for satellites in low Earth orbit is currently conducted independently by each mission operations center. An absence of an information infrastructure to enable the scheduling of coordinated observations involving multiple sensors makes it difficult to execute campaigns involving multiple assets. This paper proposes a software architecture and describes a prototype system called DESOPS (Distributed Earth Science Observation Planning and Scheduling) that will address this deficiency.

Local and Long Distance Computer Networking for Science Classrooms. Technical Report No. 43.

ERIC Educational Resources Information Center

Newman, Denis

This report describes Earth Lab, a project which is demonstrating new ways of using computers for upper-elementary and middle-school science instruction, and finding ways to integrate local-area and telecommunications networks. The discussion covers software, classroom activities, formative research on communications networks, and integration of…

Earth Science Data Education through Cooking Up Recipes

NASA Astrophysics Data System (ADS)

Weigel, A. M.; Maskey, M.; Smith, T.; Conover, H.

2016-12-01

One of the major challenges in Earth science research and applications is understanding and applying the proper methods, tools, and software for using scientific data. These techniques are often difficult and time consuming to identify, requiring novel users to conduct extensive research, take classes, and reach out for assistance, thus hindering scientific discovery and real-world applications. To address these challenges, the Global Hydrology Resource Center (GHRC) DAAC has developed a series of data recipes that novel users such as students, decision makers, and general Earth scientists can leverage to learn how to use Earth science datasets. Once the data recipe content had been finalized, GHRC computer and Earth scientists collaborated with a web and graphic designer to ensure the content is both attractively presented to data users, and clearly communicated to promote the education and use of Earth science data. The completed data recipes include, but are not limited to, tutorials, iPython Notebooks, resources, and tools necessary for addressing key difficulties in data use across a broad user base. These recipes enable non-traditional users to learn how to use data, but also curates and communicates common methods and approaches that may be difficult and time consuming for these users to identify.

Providing Geospatial Education and Real World Applications of Data across the Climate Initiative Themes

NASA Astrophysics Data System (ADS)

Weigel, A. M.; Griffin, R.; Bugbee, K.

2015-12-01

Various organizations such as the Group on Earth Observations (GEO) have developed a structure for general thematic areas in Earth science research, however the Climate Data Initiative (CDI) is addressing the challenging goal of organizing such datasets around core themes specifically related to climate change impacts. These thematic areas, which currently include coastal flooding, food resilience, ecosystem vulnerability, water, transportation, energy infrastructure, and human health, form the core of a new college course at the University of Alabama in Huntsville developed around real-world applications in the Earth sciences. The goal of this course is to educate students on the data available and scope of GIS applications in Earth science across the CDI climate themes. Real world applications and datasets serve as a pedagogical tool that provide a useful medium for instruction in scientific geospatial analysis and GIS software. With a wide range of potential research areas that fall under the rubric of "Earth science", thematic foci can help to structure a student's understanding of the potential uses of GIS across sub-disciplines, while communicating core data processing concepts. The learning modules and use-case scenarios for this course demonstrate the potential applications of CDI data to undergraduate and graduate Earth science students.

OntoSoft: A Software Registry for Geosciences

NASA Astrophysics Data System (ADS)

Garijo, D.; Gil, Y.

2017-12-01

The goal of the EarthCube OntoSoft project is to enable the creation of an ecosystem for software stewardship in geosciences that will empower scientists to manage their software as valuable scientific assets. By sharing software metadata in OntoSoft, scientists enable broader access to that software by other scientists, software professionals, students, and decision makers. Our work to date includes: 1) an ontology for describing scientific software metadata, 2) a distributed scientific software repository that contains more than 750 entries that can be searched and compared across metadata fields, 3) an intelligent user interface that guides scientists to publish software and allows them to crowdsource its corresponding metadata. We have also developed a training program where scientists learn to describe and cite software in their papers in addition to data and provenance, and we are using OntoSoft to show them the benefits of publishing their software metadata. This training program is part of a Geoscience Papers of the Future Initiative, where scientists are reflecting on their current practices, benefits and effort for sharing software and data. This journal paper can be submitted to a Special Section of the AGU Earth and Space Science Journal.

Earthdata User Interface Patterns: Building Usable Web Interfaces Through a Shared UI Pattern Library

NASA Astrophysics Data System (ADS)

Siarto, J.

2014-12-01

As more Earth science software tools and services move to the web--the design and usability of those tools become ever more important. A good user interface is becoming expected and users are becoming increasingly intolerant of websites and web applications that work against them. The Earthdata UI Pattern Library attempts to give these scientists and developers the design tools they need to make usable, compelling user interfaces without the associated overhead of using a full design team. Patterns are tested and functional user interface elements targeted specifically at the Earth science community and will include web layouts, buttons, tables, typography, iconography, mapping and visualization/graphing widgets. These UI elements have emerged as the result of extensive user testing, research and software development within the NASA Earthdata team over the past year.

Interacting with Petabytes of Earth Science Data using Jupyter Notebooks, IPython Widgets and Google Earth Engine

NASA Astrophysics Data System (ADS)

Erickson, T. A.; Granger, B.; Grout, J.; Corlay, S.

2017-12-01

The volume of Earth science data gathered from satellites, aircraft, drones, and field instruments continues to increase. For many scientific questions in the Earth sciences, managing this large volume of data is a barrier to progress, as it is difficult to explore and analyze large volumes of data using the traditional paradigm of downloading datasets to a local computer for analysis. Furthermore, methods for communicating Earth science algorithms that operate on large datasets in an easily understandable and reproducible way are needed. Here we describe a system for developing, interacting, and sharing well-documented Earth Science algorithms that combines existing software components: Jupyter Notebook: An open-source, web-based environment that supports documents that combine code and computational results with text narrative, mathematics, images, and other media. These notebooks provide an environment for interactive exploration of data and development of well documented algorithms. Jupyter Widgets / ipyleaflet: An architecture for creating interactive user interface controls (such as sliders, text boxes, etc.) in Jupyter Notebooks that communicate with Python code. This architecture includes a default set of UI controls (sliders, dropboxes, etc.) as well as APIs for building custom UI controls. The ipyleaflet project is one example that offers a custom interactive map control that allows a user to display and manipulate geographic data within the Jupyter Notebook. Google Earth Engine: A cloud-based geospatial analysis platform that provides access to petabytes of Earth science data via a Python API. The combination of Jupyter Notebooks, Jupyter Widgets, ipyleaflet, and Google Earth Engine makes it possible to explore and analyze massive Earth science datasets via a web browser, in an environment suitable for interactive exploration, teaching, and sharing. Using these environments can make Earth science analyses easier to understand and reproducible, which may increase the rate of scientific discoveries and the transition of discoveries into real-world impacts.

Global Systems Science and Hands-On Universe Course Materials for High School

NASA Astrophysics Data System (ADS)

Gould, A.

2011-09-01

The University of California Berkeley's Lawrence Hall of Science has a project called Global Systems Science (GSS). GSS produced a set of course materials for high school science education that includes reading materials, investigations, and software for analyzing satellite images of Earth focusing on Earth systems as well as societal issues that require interdisciplinary science for full understanding. The software has general application in analysis of any digital images for a variety of purposes. NSF and NASA funding have contributed to the development of GSS. The current NASA-funded project of GSS is Lifelines for High School Climate Change Education (LHSCCE), which aims to establish professional learning communities (PLCs) to share curriculum resources and best practices for teaching about climate change in grades 9-12. The project explores ideal ways for teachers to meet either in-person or using simple yet effective distance-communication techniques (tele-meetings), depending on local preferences. Skills promoted include: how to set up a website to share resources; initiating tele-meetings with any available mechanism (webinars, Skype, telecons, moodles, social network tools, etc.); and easy ways of documenting and archiving presentations made at meetings. Twenty teacher leaders are forming the PLCs in their regions or districts. This is a national effort in which teachers share ideas, strategies, and resources aimed at making science education relevant to societal issues, improve students' understanding of climate change issues, and contribute to possible solutions. Although the binding theme is climate change, the application is to a wide variety of courses: Earth science, environmental science, biology, physics, and chemistry. Moreover, the PLCs formed can last as long as the members find it useful and can deal with any topics of interest, even if they are only distantly related to climate change.

Project LITE: Light Inquiry Through Experiments

NASA Astrophysics Data System (ADS)

Brecher, Kenneth

2007-06-01

"Project LITE: Light Inquiry Through Experiments" is a science education project aimed at developing interactive hands-on and eyes-on curriculum, software and materials about light and optics. These are being developed for use in undergraduate astronomy courses, but they can also be used to advantage in physics, chemistry, Earth science and psychology courses throughout the K-12 and undergraduate curriculum.

The community-driven BiG CZ software system for integration and analysis of bio- and geoscience data in the critical zone

NASA Astrophysics Data System (ADS)

Aufdenkampe, A. K.; Mayorga, E.; Horsburgh, J. S.; Lehnert, K. A.; Zaslavsky, I.; Valentine, D. W., Jr.; Richard, S. M.; Cheetham, R.; Meyer, F.; Henry, C.; Berg-Cross, G.; Packman, A. I.; Aronson, E. L.

2014-12-01

Here we present the prototypes of a new scientific software system designed around the new Observations Data Model version 2.0 (ODM2, https://github.com/UCHIC/ODM2) to substantially enhance integration of biological and Geological (BiG) data for Critical Zone (CZ) science. The CZ science community takes as its charge the effort to integrate theory, models and data from the multitude of disciplines collectively studying processes on the Earth's surface. The central scientific challenge of the CZ science community is to develop a "grand unifying theory" of the critical zone through a theory-model-data fusion approach, for which the key missing need is a cyberinfrastructure for seamless 4D visual exploration of the integrated knowledge (data, model outputs and interpolations) from all the bio and geoscience disciplines relevant to critical zone structure and function, similar to today's ability to easily explore historical satellite imagery and photographs of the earth's surface using Google Earth. This project takes the first "BiG" steps toward answering that need. The overall goal of this project is to co-develop with the CZ science and broader community, including natural resource managers and stakeholders, a web-based integration and visualization environment for joint analysis of cross-scale bio and geoscience processes in the critical zone (BiG CZ), spanning experimental and observational designs. We will: (1) Engage the CZ and broader community to co-develop and deploy the BiG CZ software stack; (2) Develop the BiG CZ Portal web application for intuitive, high-performance map-based discovery, visualization, access and publication of data by scientists, resource managers, educators and the general public; (3) Develop the BiG CZ Toolbox to enable cyber-savvy CZ scientists to access BiG CZ Application Programming Interfaces (APIs); and (4) Develop the BiG CZ Central software stack to bridge data systems developed for multiple critical zone domains into a single metadata catalog. The entire BiG CZ Software system is being developed on public repositories as a modular suite of open source software projects. It will be built around a new Observations Data Model Version 2.0 (ODM2) that has been developed by members of the BiG CZ project team, with community input, under separate funding.

Functional requirements document for NASA/MSFC Earth Science and Applications Division: Data and information system (ESAD-DIS). Interoperability, 1992

NASA Technical Reports Server (NTRS)

Stephens, J. Briscoe; Grider, Gary W.

1992-01-01

These Earth Science and Applications Division-Data and Information System (ESAD-DIS) interoperability requirements are designed to quantify the Earth Science and Application Division's hardware and software requirements in terms of communications between personal and visualization workstation, and mainframe computers. The electronic mail requirements and local area network (LAN) requirements are addressed. These interoperability requirements are top-level requirements framed around defining the existing ESAD-DIS interoperability and projecting known near-term requirements for both operational support and for management planning. Detailed requirements will be submitted on a case-by-case basis. This document is also intended as an overview of ESAD-DIs interoperability for new-comers and management not familiar with these activities. It is intended as background documentation to support requests for resources and support requirements.

Results of Software and Services Citations Review at ESIP

NASA Astrophysics Data System (ADS)

Hausman, J.; Gallagher, J. H. R.; Stall, S.

2017-12-01

Citations for software and services/tools are important as they provide a way to improve reproducibility of science, better provenance and easier to attribute credit to the developers. Software citations are trickier than papers or data as software can be very dynamic so it is a bit of a moving target. It is even more difficult for services/tools as they usually have data as inputs so now a relation between the tool and data is needed. There are suggested citation formats, but they do not always contain enough information that can easily gleaned or obtained from a metrics crawler. At the Summer 2017 Earth Science Information Partners (ESIP) meeting a workshop was held to evaluate the effectiveness of a citation. This presentation will summarize those results and put forth adjustments to the format. These adjustments will make it easier to verify that the citation is for a service or software and for information harvesting.

Computational Infrastructure for Geodynamics (CIG)

NASA Astrophysics Data System (ADS)

Gurnis, M.; Kellogg, L. H.; Bloxham, J.; Hager, B. H.; Spiegelman, M.; Willett, S.; Wysession, M. E.; Aivazis, M.

2004-12-01

Solid earth geophysicists have a long tradition of writing scientific software to address a wide range of problems. In particular, computer simulations came into wide use in geophysics during the decade after the plate tectonic revolution. Solution schemes and numerical algorithms that developed in other areas of science, most notably engineering, fluid mechanics, and physics, were adapted with considerable success to geophysics. This software has largely been the product of individual efforts and although this approach has proven successful, its strength for solving problems of interest is now starting to show its limitations as we try to share codes and algorithms or when we want to recombine codes in novel ways to produce new science. With funding from the NSF, the US community has embarked on a Computational Infrastructure for Geodynamics (CIG) that will develop, support, and disseminate community-accessible software for the greater geodynamics community from model developers to end-users. The software is being developed for problems involving mantle and core dynamics, crustal and earthquake dynamics, magma migration, seismology, and other related topics. With a high level of community participation, CIG is leveraging state-of-the-art scientific computing into a suite of open-source tools and codes. The infrastructure that we are now starting to develop will consist of: (a) a coordinated effort to develop reusable, well-documented and open-source geodynamics software; (b) the basic building blocks - an infrastructure layer - of software by which state-of-the-art modeling codes can be quickly assembled; (c) extension of existing software frameworks to interlink multiple codes and data through a superstructure layer; (d) strategic partnerships with the larger world of computational science and geoinformatics; and (e) specialized training and workshops for both the geodynamics and broader Earth science communities. The CIG initiative has already started to leverage and develop long-term strategic partnerships with open source development efforts within the larger thrusts of scientific computing and geoinformatics. These strategic partnerships are essential as the frontier has moved into multi-scale and multi-physics problems in which many investigators now want to use simulation software for data interpretation, data assimilation, and hypothesis testing.

Progress in the Development of a Prototype Reuse Enablement System

NASA Astrophysics Data System (ADS)

Marshall, J. J.; Downs, R. R.; Gilliam, L. J.; Wolfe, R. E.

2008-12-01

An important part of promoting software reuse is to ensure that reusable software assets are readily available to the software developers who want to use them. Through dialogs with the community, the NASA Earth Science Data Systems Software Reuse Working Group has learned that the lack of a centralized, domain- specific software repository or catalog system addressing the needs of the Earth science community is a major barrier to software reuse within the community. The Working Group has proposed the creation of such a reuse enablement system, which would provide capabilities for contributing and obtaining reusable software, to remove this barrier. The Working Group has recommended the development of a Reuse Enablement System to NASA and has performed a trade study to review systems with similar capabilities and to identify potential platforms for the proposed system. This was followed by an architecture study to determine an expeditious and cost-effective solution for this system. A number of software packages and systems were examined through both creating prototypes and examining existing systems that use the same software packages and systems. Based on the results of the architecture study, the Working Group developed a prototype of the proposed system using the recommended software package, through an iterative process of identifying needed capabilities and improving the system to provide those capabilities. Policies for the operation and maintenance of the system are being established for the system, and the identification of system policies also has contributed to the development process. Additionally, a test plan is being developed for formal testing of the prototype, to ensure that it meets all of the requirements previously developed by the Working Group. This poster summarizes the results of our work to date, focusing on the most recent activities.

Centralized Alert-Processing and Asset Planning for Sensorwebs

NASA Technical Reports Server (NTRS)

Castano, Rebecca; Chien, Steve A.; Rabideau, Gregg R.; Tang, Benyang

2010-01-01

A software program provides a Sensorweb architecture for alert-processing, event detection, asset allocation and planning, and visualization. It automatically tasks and re-tasks various types of assets such as satellites and robotic vehicles in response to alerts (fire, weather) extracted from various data sources, including low-level Webcam data. JPL has adapted cons iderable Sensorweb infrastructure that had been previously applied to NASA Earth Science applications. This NASA Earth Science Sensorweb has been in operational use since 2003, and has proven reliability of the Sensorweb technologies for robust event detection and autonomous response using space and ground assets. Unique features of the software include flexibility to a range of detection and tasking methods including those that require aggregation of data over spatial and temporal ranges, generality of the response structure to represent and implement a range of response campaigns, and the ability to respond rapidly.

GES DISC Data Recipes in Jupyter Notebooks

NASA Astrophysics Data System (ADS)

Li, A.; Banavige, B.; Garimella, K.; Rice, J.; Shen, S.; Liu, Z.

2017-12-01

The Earth Science Data and Information System (ESDIS) Project manages twelve Distributed Active Archive Centers (DAACs) which are geographically dispersed across the United States. The DAACs are responsible for ingesting, processing, archiving, and distributing Earth science data produced from various sources (satellites, aircraft, field measurements, etc.). In response to projections of an exponential increase in data production, there has been a recent effort to prototype various DAAC activities in the cloud computing environment. This, in turn, led to the creation of an initiative, called the Cloud Analysis Toolkit to Enable Earth Science (CATEES), to develop a Python software package in order to transition Earth science data processing to the cloud. This project, in particular, supports CATEES and has two primary goals. One, transition data recipes created by the Goddard Earth Science Data and Information Service Center (GES DISC) DAAC into an interactive and educational environment using Jupyter Notebooks. Two, acclimate Earth scientists to cloud computing. To accomplish these goals, we create Jupyter Notebooks to compartmentalize the different steps of data analysis and help users obtain and parse data from the command line. We also develop a Docker container, comprised of Jupyter Notebooks, Python library dependencies, and command line tools, and configure it into an easy to deploy package. The end result is an end-to-end product that simulates the use case of end users working in the cloud computing environment.

Mass Storage System Upgrades at the NASA Center for Computational Sciences

NASA Technical Reports Server (NTRS)

Tarshish, Adina; Salmon, Ellen; Macie, Medora; Saletta, Marty

2000-01-01

The NASA Center for Computational Sciences (NCCS) provides supercomputing and mass storage services to over 1200 Earth and space scientists. During the past two years, the mass storage system at the NCCS went through a great deal of changes both major and minor. Tape drives, silo control software, and the mass storage software itself were upgraded, and the mass storage platform was upgraded twice. Some of these upgrades were aimed at achieving year-2000 compliance, while others were simply upgrades to newer and better technologies. In this paper we will describe these upgrades.

Next Generation Cloud-based Science Data Systems and Their Implications on Data and Software Stewardship, Preservation, and Provenance

NASA Astrophysics Data System (ADS)

Hua, H.; Manipon, G.; Starch, M.

2017-12-01

NASA's upcoming missions are expected to be generating data volumes at least an order of magnitude larger than current missions. A significant increase in data processing, data rates, data volumes, and long-term data archive capabilities are needed. Consequently, new challenges are emerging that impact traditional data and software management approaches. At large-scales, next generation science data systems are exploring the move onto cloud computing paradigms to support these increased needs. New implications such as costs, data movement, collocation of data systems & archives, and moving processing closer to the data, may result in changes to the stewardship, preservation, and provenance of science data and software. With more science data systems being on-boarding onto cloud computing facilities, we can expect more Earth science data records to be both generated and kept in the cloud. But at large scales, the cost of processing and storing global data may impact architectural and system designs. Data systems will trade the cost of keeping data in the cloud with the data life-cycle approaches of moving "colder" data back to traditional on-premise facilities. How will this impact data citation and processing software stewardship? What are the impacts of cloud-based on-demand processing and its affect on reproducibility and provenance. Similarly, with more science processing software being moved onto cloud, virtual machines, and container based approaches, more opportunities arise for improved stewardship and preservation. But will the science community trust data reprocessed years or decades later? We will also explore emerging questions of the stewardship of the science data system software that is generating the science data records both during and after the life of mission.

GRIP Experiment 2010

NASA Image and Video Library

2010-08-14

Jeffrey Beyon, lower right, and Paul Joseph Petzar, right, researchers from NASA's Langley Research Center, speak with Ramesh Kakar right, of the NASA Earth Science Division as they work with DAWN Air Data Acquisition and Processing software aboard NASA's DC-8 research aircraft, Sunday, Aug. 15, 2010, in support of the GRIP experiment at Fort Lauderdale International Airport in Fort Lauderdale, Fla. The Genesis and Rapid Intensification Processes (GRIP) experiment is a NASA Earth science field experiment in 2010 that is being conducted to better understand how tropical storms form and develop into major hurricanes. Photo Credit: (NASA/Paul E. Alers)

Advancing Capabilities for Understanding the Earth System Through Intelligent Systems, the NSF Perspective

NASA Astrophysics Data System (ADS)

Gil, Y.; Zanzerkia, E. E.; Munoz-Avila, H.

2015-12-01

The National Science Foundation (NSF) Directorate for Geosciences (GEO) and Directorate for Computer and Information Science (CISE) acknowledge the significant scientific challenges required to understand the fundamental processes of the Earth system, within the atmospheric and geospace, Earth, ocean and polar sciences, and across those boundaries. A broad view of the opportunities and directions for GEO are described in the report "Dynamic Earth: GEO imperative and Frontiers 2015-2020." Many of the aspects of geosciences research, highlighted both in this document and other community grand challenges, pose novel problems for researchers in intelligent systems. Geosciences research will require solutions for data-intensive science, advanced computational capabilities, and transformative concepts for visualizing, using, analyzing and understanding geo phenomena and data. Opportunities for the scientific community to engage in addressing these challenges are available and being developed through NSF's portfolio of investments and activities. The NSF-wide initiative, Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21), looks to accelerate research and education through new capabilities in data, computation, software and other aspects of cyberinfrastructure. EarthCube, a joint program between GEO and the Advanced Cyberinfrastructure Division, aims to create a well-connected and facile environment to share data and knowledge in an open, transparent, and inclusive manner, thus accelerating our ability to understand and predict the Earth system. EarthCube's mission opens an opportunity for collaborative research on novel information systems enhancing and supporting geosciences research efforts. NSF encourages true, collaborative partnerships between scientists in computer sciences and the geosciences to meet these challenges.

The Information Science Experiment System - The computer for science experiments in space

NASA Technical Reports Server (NTRS)

Foudriat, Edwin C.; Husson, Charles

1989-01-01

The concept of the Information Science Experiment System (ISES), potential experiments, and system requirements are reviewed. The ISES is conceived as a computer resource in space whose aim is to assist computer, earth, and space science experiments, to develop and demonstrate new information processing concepts, and to provide an experiment base for developing new information technology for use in space systems. The discussion covers system hardware and architecture, operating system software, the user interface, and the ground communication link.

Research and Technology Report. Goddard Space Flight Center

NASA Technical Reports Server (NTRS)

Soffen, Gerald (Editor); Truszkowski, Walter (Editor); Ottenstein, Howard (Editor); Frost, Kenneth (Editor); Maran, Stephen (Editor); Walter, Lou (Editor); Brown, Mitch (Editor)

1996-01-01

This issue of Goddard Space Flight Center's annual report highlights the importance of mission operations and data systems covering mission planning and operations; TDRSS, positioning systems, and orbit determination; ground system and networks, hardware and software; data processing and analysis; and World Wide Web use. The report also includes flight projects, space sciences, Earth system science, and engineering and materials.

EOSDIS: Archive and Distribution Systems in the Year 2000

NASA Technical Reports Server (NTRS)

Behnke, Jeanne; Lake, Alla

2000-01-01

Earth Science Enterprise (ESE) is a long-term NASA research mission to study the processes leading to global climate change. The Earth Observing System (EOS) is a NASA campaign of satellite observatories that are a major component of ESE. The EOS Data and Information System (EOSDIS) is another component of ESE that will provide the Earth science community with easy, affordable, and reliable access to Earth science data. EOSDIS is a distributed system, with major facilities at seven Distributed Active Archive Centers (DAACs) located throughout the United States. The EOSDIS software architecture is being designed to receive, process, and archive several terabytes of science data on a daily basis. Thousands of science users and perhaps several hundred thousands of non-science users are expected to access the system. The first major set of data to be archived in the EOSDIS is from Landsat-7. Another EOS satellite, Terra, was launched on December 18, 1999. With the Terra launch, the EOSDIS will be required to support approximately one terabyte of data into and out of the archives per day. Since EOS is a multi-mission program, including the launch of more satellites and many other missions, the role of the archive systems becomes larger and more critical. In 1995, at the fourth convening of NASA Mass Storage Systems and Technologies Conference, the development plans for the EOSDIS information system and archive were described. Five years later, many changes have occurred in the effort to field an operational system. It is interesting to reflect on some of the changes driving the archive technology and system development for EOSDIS. This paper principally describes the Data Server subsystem including how the other subsystems access the archive, the nature of the data repository, and the mass-storage I/O management. The paper reviews the system architecture (both hardware and software) of the basic components of the archive. It discusses the operations concept, code development, and testing phase of the system. Finally, it describes the future plans for the archive.

Seamless online science workflow development and collaboration using IDL and the ENVI Services Engine

NASA Astrophysics Data System (ADS)

Harris, A. T.; Ramachandran, R.; Maskey, M.

2013-12-01

The Exelis-developed IDL and ENVI software are ubiquitous tools in Earth science research environments. The IDL Workbench is used by the Earth science community for programming custom data analysis and visualization modules. ENVI is a software solution for processing and analyzing geospatial imagery that combines support for multiple Earth observation scientific data types (optical, thermal, multi-spectral, hyperspectral, SAR, LiDAR) with advanced image processing and analysis algorithms. The ENVI & IDL Services Engine (ESE) is an Earth science data processing engine that allows researchers to use open standards to rapidly create, publish and deploy advanced Earth science data analytics within any existing enterprise infrastructure. Although powerful in many ways, the tools lack collaborative features out-of-box. Thus, as part of the NASA funded project, Collaborative Workbench to Accelerate Science Algorithm Development, researchers at the University of Alabama in Huntsville and Exelis have developed plugins that allow seamless research collaboration from within IDL workbench. Such additional features within IDL workbench are possible because IDL workbench is built using the Eclipse Rich Client Platform (RCP). RCP applications allow custom plugins to be dropped in for extended functionalities. Specific functionalities of the plugins include creating complex workflows based on IDL application source code, submitting workflows to be executed by ESE in the cloud, and sharing and cloning of workflows among collaborators. All these functionalities are available to scientists without leaving their IDL workbench. Because ESE can interoperate with any middleware, scientific programmers can readily string together IDL processing tasks (or tasks written in other languages like C++, Java or Python) to create complex workflows for deployment within their current enterprise architecture (e.g. ArcGIS Server, GeoServer, Apache ODE or SciFlo from JPL). Using the collaborative IDL Workbench, coupled with ESE for execution in the cloud, asynchronous workflows could be executed in batch mode on large data in the cloud. We envision that a scientist will initially develop a scientific workflow locally on a small set of data. Once tested, the scientist will deploy the workflow to the cloud for execution. Depending on the results, the scientist may share the workflow and results, allowing them to be stored in a community catalog and instantly loaded into the IDL Workbench of other scientists. Thereupon, scientists can clone and modify or execute the workflow with different input parameters. The Collaborative Workbench will provide a platform for collaboration in the cloud, helping Earth scientists solve big-data problems in the Earth and planetary sciences.

Collaboratively Architecting a Scalable and Adaptable Petascale Infrastructure to Support Transdisciplinary Scientific Research for the Australian Earth and Environmental Sciences

NASA Astrophysics Data System (ADS)

Wyborn, L. A.; Evans, B. J. K.; Pugh, T.; Lescinsky, D. T.; Foster, C.; Uhlherr, A.

2014-12-01

The National Computational Infrastructure (NCI) at the Australian National University (ANU) is a partnership between CSIRO, ANU, Bureau of Meteorology (BoM) and Geoscience Australia. Recent investments in a 1.2 PFlop Supercomputer (Raijin), ~ 20 PB data storage using Lustre filesystems and a 3000 core high performance cloud have created a hybrid platform for higher performance computing and data-intensive science to enable large scale earth and climate systems modelling and analysis. There are > 3000 users actively logging in and > 600 projects on the NCI system. Efficiently scaling and adapting data and software systems to petascale infrastructures requires the collaborative development of an architecture that is designed, programmed and operated to enable users to interactively invoke different forms of in-situ computation over complex and large scale data collections. NCI makes available major and long tail data collections from both the government and research sectors based on six themes: 1) weather, climate and earth system science model simulations, 2) marine and earth observations, 3) geosciences, 4) terrestrial ecosystems, 5) water and hydrology and 6) astronomy, bio and social. Collectively they span the lithosphere, crust, biosphere, hydrosphere, troposphere, and stratosphere. Collections are the operational form for data management and access. Similar data types from individual custodians are managed cohesively. Use of international standards for discovery and interoperability allow complex interactions within and between the collections. This design facilitates a transdisciplinary approach to research and enables a shift from small scale, 'stove-piped' science efforts to large scale, collaborative systems science. This new and complex infrastructure requires a move to shared, globally trusted software frameworks that can be maintained and updated. Workflow engines become essential and need to integrate provenance, versioning, traceability, repeatability and publication. There are also human resource challenges as highly skilled HPC/HPD specialists, specialist programmers, and data scientists are required whose skills can support scaling to the new paradigm of effective and efficient data-intensive earth science analytics on petascale, and soon to be exascale systems.

3rd Annual Earth System Grid Federation and 3rd Annual Earth System Grid Federation and Ultrascale Visualization Climate Data Analysis Tools Face-to-Face Meeting Report December 2013

DOE Office of Scientific and Technical Information (OSTI.GOV)

Williams, Dean N.

The climate and weather data science community gathered December 3–5, 2013, at Lawrence Livermore National Laboratory, in Livermore, California, for the third annual Earth System Grid Federation (ESGF) and Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) Face-to-Face (F2F) Meeting, which was hosted by the Department of Energy, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, the European Infrastructure for the European Network of Earth System Modelling, and the Australian Department of Education. Both ESGF and UV-CDAT are global collaborations designed to develop a new generation of open-source software infrastructure that provides distributed access and analysis to observed andmore » simulated data from the climate and weather communities. The tools and infrastructure developed under these international multi-agency collaborations are critical to understanding extreme weather conditions and long-term climate change, while the F2F meetings help to build a stronger climate and weather data science community and stronger federated software infrastructure. The 2013 F2F meeting determined requirements for existing and impending national and international community projects; enhancements needed for data distribution, analysis, and visualization infrastructure; and standards and resources needed for better collaborations.« less

EVEREST: a virtual research environment for the Earth Sciences

NASA Astrophysics Data System (ADS)

Glaves, H. M.; Marelli, F.; Albani, M.

2015-12-01

There is an increasing requirement for researchers to work collaboratively using common resources whilst being geographically dispersed. By creating a virtual research environment (VRE) using a service oriented architecture (SOA) tailored to the needs of Earth Science (ES) communities, the EVEREST project will provide a range of both generic and domain specific data management services to support a dynamic approach to collaborative research. EVER-EST will provide the means to overcome existing barriers to sharing of Earth Science data and information allowing research teams to discover, access, share and process heterogeneous data, algorithms, results and experiences within and across their communities, including those domains beyond Earth Science. Data providers will be also able to monitor user experiences and collect feedback through the VRE, improving their capacity to adapt to the changing requirements of their end-users. The EVER-EST e-infrastructure will be validated by four virtual research communities (VRC) covering different multidisciplinary ES domains: including ocean monitoring, selected natural hazards (flooding, ground instability and extreme weather events), land monitoring and risk management (volcanoes and seismicity). Each of the VRC represents a different collaborative use case for the VRE according to its own specific requirements for data, software, best practice and community engagement. The diverse use cases will demonstrate how the VRE can be used for a range of activities from straight forward data/software sharing to investigating ways to improve cooperative working. Development of the EVEREST VRE will leverage on the results of several previous projects which have produced state-of-the-art technologies for scientific data management and curation as well those initiatives which have developed models, techniques and tools for the preservation of scientific methods and their implementation in computational forms such as scientific workflows.

Networking Cyberinfrastructure Resources to Support Global, Cross-disciplinary Science

NASA Astrophysics Data System (ADS)

Lehnert, K.; Ramamurthy, M. K.

2016-12-01

Geosciences are globally connected by nature and the grand challenge problems like climate change, ocean circulations, seasonal predictions, impact of volcanic eruptions, etc. all transcend both disciplinary and geographic boundaries, requiring cross-disciplinary and international partnerships. Cross-disciplinary and international collaborations are also needed to unleash the power of cyber- (or e-) infrastructure (CI) by networking globally distributed, multi-disciplinary data, software, and computing resources to accelerate new scientific insights and discoveries. While the promises of a global and cross-disciplinary CI are exhilarating and real, a range of technical, organizational, and social challenges needs to be overcome in order to achieve alignment and linking of operational data systems, software tools, and computing facilities. New modes of collaboration require agreement on and governance of technical standards and best practices, and funding for necessary modifications. This presentation will contribute the perspective of domain-specific data facilities to the discussion of cross-disciplinary and international collaboration in CI development and deployment, in particular those of IEDA (Interdisciplinary Earth Data Alliance) serving the solid Earth sciences and Unidata serving atmospheric sciences. Both facilities are closely involved with the US NSF EarthCube program that aims to network and augment existing Geoscience CI capabilities "to make disciplinary boundaries permeable, nurture and facilitate knowledge sharing, …, and enhance collaborative pursuit of cross-disciplinary research" (EarthCube Strategic Vision), while also collaborating internationally to network domain-specific and cross-disciplinary CI resources. These collaborations are driven by the substantial benefits to the science community, but create challenges, when operational and funding constraints need to be balanced with adjustments to new joint data curation practices and interoperability standards.

Building Thematic and Integrated Services for European Solid Earth Sciences: the EPOS Integrated Approach

NASA Astrophysics Data System (ADS)

Harrison, M.; Cocco, M.

2017-12-01

EPOS (European Plate Observing System) has been designed with the vision of creating a pan-European infrastructure for solid Earth science to support a safe and sustainable society. In accordance with this scientific vision, the EPOS mission is to integrate the diverse and advanced European Research Infrastructures for solid Earth science relying on new e-science opportunities to monitor and unravel the dynamic and complex Earth System. EPOS will enable innovative multidisciplinary research for a better understanding of the Earth's physical and chemical processes that control earthquakes, volcanic eruptions, ground instability and tsunami as well as the processes driving tectonics and Earth's surface dynamics. To accomplish its mission, EPOS is engaging different stakeholders, to allow the Earth sciences to open new horizons in our understanding of the planet. EPOS also aims at contributing to prepare society for geo-hazards and to responsibly manage the exploitation of geo-resources. Through integration of data, models and facilities, EPOS will allow the Earth science community to make a step change in developing new concepts and tools for key answers to scientific and socio-economic questions concerning geo-hazards and geo-resources as well as Earth sciences applications to the environment and human welfare. The research infrastructures (RIs) that EPOS is coordinating include: i) distributed geophysical observing systems (seismological and geodetic networks); ii) local observatories (including geomagnetic, near-fault and volcano observatories); iii) analytical and experimental laboratories; iv) integrated satellite data and geological information services; v) new services for natural and anthropogenic hazards; vi) access to geo-energy test beds. Here we present the activities planned for the implementation phase focusing on the TCS, the ICS and on their interoperability. We will discuss the data, data-products, software and services (DDSS) presently under implementation, which will be validated and tested during 2018. Particular attention in this talk will be given to connecting EPOS with similar global initiatives and identifying common best practice and approaches.

Computational Aspects of Data Assimilation and the ESMF

NASA Technical Reports Server (NTRS)

daSilva, A.

2003-01-01

The scientific challenge of developing advanced data assimilation applications is a daunting task. Independently developed components may have incompatible interfaces or may be written in different computer languages. The high-performance computer (HPC) platforms required by numerically intensive Earth system applications are complex, varied, rapidly evolving and multi-part systems themselves. Since the market for high-end platforms is relatively small, there is little robust middleware available to buffer the modeler from the difficulties of HPC programming. To complicate matters further, the collaborations required to develop large Earth system applications often span initiatives, institutions and agencies, involve geoscience, software engineering, and computer science communities, and cross national borders.The Earth System Modeling Framework (ESMF) project is a concerted response to these challenges. Its goal is to increase software reuse, interoperability, ease of use and performance in Earth system models through the use of a common software framework, developed in an open manner by leaders in the modeling community. The ESMF addresses the technical and to some extent the cultural - aspects of Earth system modeling, laying the groundwork for addressing the more difficult scientific aspects, such as the physical compatibility of components, in the future. In this talk we will discuss the general philosophy and architecture of the ESMF, focussing on those capabilities useful for developing advanced data assimilation applications.

Computer science: Key to a space program renaissance. The 1981 NASA/ASEE summer study on the use of computer science and technology in NASA. Volume 2: Appendices

NASA Technical Reports Server (NTRS)

Freitas, R. A., Jr. (Editor); Carlson, P. A. (Editor)

1983-01-01

Adoption of an aggressive computer science research and technology program within NASA will: (1) enable new mission capabilities such as autonomous spacecraft, reliability and self-repair, and low-bandwidth intelligent Earth sensing; (2) lower manpower requirements, especially in the areas of Space Shuttle operations, by making fuller use of control center automation, technical support, and internal utilization of state-of-the-art computer techniques; (3) reduce project costs via improved software verification, software engineering, enhanced scientist/engineer productivity, and increased managerial effectiveness; and (4) significantly improve internal operations within NASA with electronic mail, managerial computer aids, an automated bureaucracy and uniform program operating plans.

EVEREST: a virtual research environment for the Earth SciencesEVEREST: a virtual research environment for the Earth Sciences

NASA Astrophysics Data System (ADS)

Marelli, Fulvio; Glaves, Helen; Albani, Mirko

2017-04-01

Advances in technologies and measuring techniques in the Earth science and Earth observation domains have resulted in huge amounts of data about our Planet having been acquired. By making this data readily discoverable and accessible, and providing researchers with the necessary processing power, tools, and technologies to work collaboratively and share the results with their peers, will create new opportunities and innovative approaches for cross-disciplinary research. The EVER-EST project aims to support these advancements in scientific research by developing a generic Virtual Research Environment (VRE) which is tailored to the needs of the Earth Science domain. It will provide scientists with the means to manage, share and preserve the data and methodologies applied in their research, and lead to results that are validated, attributable and can be shared within and beyond their often geographically dispersed communities e.g. in the form of scholarly communications. The EVER-EST VRE is being implemented as a Service Oriented Architecture (SOA) that is based on loosely coupled services which can be differentiated as being either generic or specific to the requirements of the Earth Science domain. Central to the EVEREST approach is the concept of the Research Object (RO) which provides a semantically rich mechanism to aggregate related resources about a scientific investigation so that they can be shared together using a single unique identifier. Although the concept of Research Objects has previously been validated by other experimental disciplines this application in the Earth Sciences represents its first implementation in observational research. The EVER-EST e-infrastructure will be validated by four virtual research communities (VRC) covering different multidisciplinary Earth Science domains: including ocean monitoring, selected natural hazards (flooding, ground instability and extreme weather events), land monitoring and risk management (volcanoes and seismicity). Each of the VRCs represents a different collaborative use case for the VRE according to its own specific requirements for data, software, best practice and community engagement. The diverse use cases will demonstrate how the VRE can be used for a range of activities from straight forward data/software sharing to investigating ways to improve cooperative working. Development of the EVEREST VRE will leverage on the results of several previous projects which have produced state-of-the-art technologies for scientific data management and curation as well those initiatives which have developed models, techniques and tools for the preservation of scientific methods and their implementation in computational forms such as scientific workflows. The EVER-EST project is funded by the European Union's Horizon 2020 research and innovation programme under grant agreement no 674907. The project is led by the European Space Agency (ESA), and involves some of the major European Earth Science data providers/users including NERC, DLR, INGV, CNR and SatCEN.

Earth Science Goes E-Commerce

NASA Technical Reports Server (NTRS)

2000-01-01

Software packages commercially marketed by Agri ImaGIS allow customers to analyze farm fields. Agri ImaGIS provides satellite images of farmland and agricultural views to US clients. The company approached NASA-MSU TechLink for access to technology that would improve the company's capabilities to deliver satellite images over the Internet. TechLink found that software with the desired functions had already been developed through NASA's Remote Sensing Database Program. Agri ImaGIS formed a partnership with the University of Minnesota group that allows the company to further develop the software to meet its Internet commerce needs.

Lessons Learned From Developing A Streaming Data Framework for Scientific Analysis

NASA Technical Reports Server (NTRS)

Wheeler. Kevin R.; Allan, Mark; Curry, Charles

2003-01-01

We describe the development and usage of a streaming data analysis software framework. The framework is used for three different applications: Earth science hyper-spectral imaging analysis, Electromyograph pattern detection, and Electroencephalogram state determination. In each application the framework was used to answer a series of science questions which evolved with each subsequent answer. This evolution is summarized in the form of lessons learned.

Enhancing Science and Automating Operations using Onboard Autonomy

NASA Technical Reports Server (NTRS)

Sherwood, Robert; Chien, Steve; Tran, Daniel; Davies, Ashley; Castano, Rebecca; Rabideau, Gregg; Mandl, Dan; Szwaczkowski, Joseph; Frye, Stuart; Shulman, Seth

2006-01-01

In this paper, we will describe the evolution of the software from prototype to full time operation onboard Earth Observing One (EO-1). We will quantify the increase in science, decrease in operations cost, and streamlining of operations procedures. Included will be a description of how this software was adapted post-launch to the EO-1 mission, which had very limited computing resources which constrained the autonomy flight software. We will discuss ongoing deployments of this software to the Mars Exploration Rovers and Mars Odyssey Missions as well as a discussion of lessons learned during this project. Finally, we will discuss how the onboard autonomy has been used in conjunction with other satellites and ground sensors to form an autonomous sensor-web to study volcanoes, floods, sea-ice topography, and wild fires. As demonstrated on EO-1, onboard autonomy is a revolutionary advance that will change the operations approach on future NASA missions...

Web-based Quality Control Tool used to validate CERES products on a cluster of Linux servers

NASA Astrophysics Data System (ADS)

Chu, C.; Sun-Mack, S.; Heckert, E.; Chen, Y.; Mlynczak, P.; Mitrescu, C.; Doelling, D.

2014-12-01

There have been a few popular desktop tools used in the Earth Science community to validate science data. Because of the limitation on the capacity of desktop hardware such as disk space and CPUs, those softwares are not able to display large amount of data from files.This poster will talk about an in-house developed web-based software built on a cluster of Linux servers. That allows users to take advantage of a few Linux servers working in parallel to generate hundreds images in a short period of time. The poster will demonstrate:(1) The hardware and software architecture is used to provide high throughput of images. (2) The software structure that can incorporate new products and new requirement quickly. (3) The user interface about how users can manipulate the data and users can control how the images are displayed.

Bridging the Gap Between Earth Science Open Data Producers and Consumers Using a Standards based approach

NASA Astrophysics Data System (ADS)

Stephan, E.; Sivaraman, C.

2016-12-01

The Web brought together science communities creating collaborative opportunities that were previously unimaginable. This was due to the novel ways technology enabled users to share information that would otherwise not be available. This means that data and software that previously could not be discovered without direct contact with data or software creators can now be downloaded with the click of a mouse button, and the same products can now outlive the lifespan of their research projects. While in many ways these technological advancements provide benefit to collaborating scientists, a critical producer-consumer knowledge gap is created when collaborating scientists rely solely on web sites, web browsers, or similar technology to exchange services, software, and data. Without some best practices and common approaches from Web publishers, collaborating scientific consumers have no inherent way to trust the results or other products being shared, producers have no way to convey their scientific credibility, and publishers risk obscurity where data is hidden in the deep Web. By leveraging recommendations from the W3C Data Activity, scientific communities can adopt best practices for data publication enabling consumers to explore, reuse, reproduce, and contribute their knowledge about the data. This talk will discuss the application of W3C Data on the Web Best Practices in support of published earth science data and feature the Data Usage Vocabulary.

The deep space 1 extended mission

NASA Astrophysics Data System (ADS)

Rayman, Marc D.; Varghese, Philip

2001-03-01

The primary mission of Deep Space 1 (DS1), the first flight of the New Millennium program, completed successfully in September 1999, having exceeded its objectives of testing new, high-risk technologies important for future space and Earth science missions. DS1 is now in its extended mission, with plans to take advantage of the advanced technologies, including solar electric propulsion, to conduct an encounter with comet 19P/Borrelly in September 2001. During the extended mission, the spacecraft's commercial star tracker failed; this critical loss prevented the spacecraft from achieving three-axis attitude control or knowledge. A two-phase approach to recovering the mission was undertaken. The first involved devising a new method of pointing the high-gain antenna to Earth using the radio signal received at the Deep Space Network as an indicator of spacecraft attitude. The second was the development of new flight software that allowed the spacecraft to return to three-axis operation without substantial ground assistance. The principal new feature of this software is the use of the science camera as an attitude sensor. The differences between the science camera and the star tracker have important implications not only for the design of the new software but also for the methods of operating the spacecraft and conducting the mission. The ambitious rescue was fully successful, and the extended mission is back on track.

The Unidata Integrated Data Viewer

NASA Astrophysics Data System (ADS)

Weber, W. J.; Ho, Y.

2016-12-01

The Unidata Integrated Data Viewer (IDV) is a free and open source, virtual globe, software application that enables three dimensional viewing of earth science data. The Unidata IDV is data agnostic and can display and analyze disparate data in a single view. This capability facilitates cross discipline research and allows for multiple observation platforms to be displayed simultaneously for any given event. The Unidata IDV is a mature application, written in JAVA, and has been serving the earth science community for over 15 years. This demonstration will focus on near real time global satelliteobservations, the integration of the COSMIC radio occultation data set that profiles the atmosphere, and high resolution numerical weather prediction.

The SCEC/UseIT Intern Program: Creating Open-Source Visualization Software Using Diverse Resources

NASA Astrophysics Data System (ADS)

Francoeur, H.; Callaghan, S.; Perry, S.; Jordan, T.

2004-12-01

The Southern California Earthquake Center undergraduate IT intern program (SCEC UseIT) conducts IT research to benefit collaborative earth science research. Through this program, interns have developed real-time, interactive, 3D visualization software using open-source tools. Dubbed LA3D, a distribution of this software is now in use by the seismic community. LA3D enables the user to interactively view Southern California datasets and models of importance to earthquake scientists, such as faults, earthquakes, fault blocks, digital elevation models, and seismic hazard maps. LA3D is now being extended to support visualizations anywhere on the planet. The new software, called SCEC-VIDEO (Virtual Interactive Display of Earth Objects), makes use of a modular, plugin-based software architecture which supports easy development and integration of new data sets. Currently SCEC-VIDEO is in beta testing, with a full open-source release slated for the future. Both LA3D and SCEC-VIDEO were developed using a wide variety of software technologies. These, which included relational databases, web services, software management technologies, and 3-D graphics in Java, were necessary to integrate the heterogeneous array of data sources which comprise our software. Currently the interns are working to integrate new technologies and larger data sets to increase software functionality and value. In addition, both LA3D and SCEC-VIDEO allow the user to script and create movies. Thus program interns with computer science backgrounds have been writing software while interns with other interests, such as cinema, geology, and education, have been making movies that have proved of great use in scientific talks, media interviews, and education. Thus, SCEC UseIT incorporates a wide variety of scientific and human resources to create products of value to the scientific and outreach communities. The program plans to continue with its interdisciplinary approach, increasing the relevance of the software and expanding its use in the scientific community.

Mars for Earthlings: an analog approach to Mars in undergraduate education.

PubMed

Chan, Marjorie; Kahmann-Robinson, Julia

2014-01-01

Mars for Earthlings (MFE) is a terrestrial Earth analog pedagogical approach to teaching undergraduate geology, planetary science, and astrobiology. MFE utilizes Earth analogs to teach Mars planetary concepts, with a foundational backbone in Earth science principles. The field of planetary science is rapidly changing with new technologies and higher-resolution data sets. Thus, it is increasingly important to understand geological concepts and processes for interpreting Mars data. MFE curriculum is topically driven to facilitate easy integration of content into new or existing courses. The Earth-Mars systems approach explores planetary origins, Mars missions, rocks and minerals, active driving forces/tectonics, surface sculpting processes, astrobiology, future explorations, and hot topics in an inquiry-driven environment. Curriculum leverages heavily upon multimedia resources, software programs such as Google Mars and JMARS, as well as NASA mission data such as THEMIS, HiRISE, CRISM, and rover images. Two years of MFE class evaluation data suggest that science literacy and general interest in Mars geology and astrobiology topics increased after participation in the MFE curriculum. Students also used newly developed skills to create a Mars mission team presentation. The MFE curriculum, learning modules, and resources are available online at http://serc.carleton.edu/marsforearthlings/index.html.

Tools Ensure Reliability of Critical Software

NASA Technical Reports Server (NTRS)

2012-01-01

In November 2006, after attempting to make a routine maneuver, NASA's Mars Global Surveyor (MGS) reported unexpected errors. The onboard software switched to backup resources, and a 2-day lapse in communication took place between the spacecraft and Earth. When a signal was finally received, it indicated that MGS had entered safe mode, a state of restricted activity in which the computer awaits instructions from Earth. After more than 9 years of successful operation gathering data and snapping pictures of Mars to characterize the planet's land and weather communication between MGS and Earth suddenly stopped. Months later, a report from NASA's internal review board found the spacecraft's battery failed due to an unfortunate sequence of events. Updates to the spacecraft's software, which had taken place months earlier, were written to the wrong memory address in the spacecraft's computer. In short, the mission ended because of a software defect. Over the last decade, spacecraft have become increasingly reliant on software to carry out mission operations. In fact, the next mission to Mars, the Mars Science Laboratory, will rely on more software than all earlier missions to Mars combined. According to Gerard Holzmann, manager at the Laboratory for Reliable Software (LaRS) at NASA's Jet Propulsion Laboratory (JPL), even the fault protection systems on a spacecraft are mostly software-based. For reasons like these, well-functioning software is critical for NASA. In the same year as the failure of MGS, Holzmann presented a new approach to critical software development to help reduce risk and provide consistency. He proposed The Power of 10: Rules for Developing Safety-Critical Code, which is a small set of rules that can easily be remembered, clearly relate to risk, and allow compliance to be verified. The reaction at JPL was positive, and developers in the private sector embraced Holzmann's ideas.

From field data collection to earth sciences dissemination: mobile examples in the digital era

NASA Astrophysics Data System (ADS)

Giardino, Marco; Ghiraldi, Luca; Palomba, Mauro; Perotti, Luigi

2015-04-01

In the framework of the technological and cultural revolution related to the massive diffusion of mobile devices, as smartphones and tablets, the information management and accessibility is changing, and many software houses and developer communities realized applications that can meet various people's needs. Modern collection, storing and sharing of data have radically changed, and advances in ICT increasingly involve field-based activities. Progresses in these researches and applications depend on three main components: hardware, software and web system. Since 2008 the geoSITLab multidisciplinary group (Earth Sciences Department and NatRisk Centre of the University of Torino and the Natural Sciences Museum of the Piemonte Region) is active in defining and testing methods for collecting, managing and sharing field information using mobile devices. Key issues include: Geomorphological Digital Mapping, Natural Hazards monitoring, Geoheritage assessment and applications for the teaching of Earth Sciences. An overview of the application studies is offered here, including the use of Mobile tools for data collection, the construction of relational databases for inventory activities and the test of Web-Mapping tools and mobile apps for data dissemination. The fil rouge of connection is a standardized digital approach allowing the use of mobile devices in each step of the process, which will be analysed within different projects set up by the research group (Geonathaz, EgeoFieldwork, Progeo Piemonte, GeomediaWeb). The hardware component mainly consists of the availability of handheld mobile devices (e.g. smartphones, PDAs and Tablets). The software component corresponds to applications for spatial data visualization on mobile devices, such as composite mobile GIS or simple location-based apps. The web component allows the integration of collected data into geodatabase based on client-server architecture, where the information can be easily loaded, uploaded and shared between field staff and data management team, in order to disseminate collected information to media or to inform the decision makers. Results demonstrated the possibility to record field observations in a fast and reliable way, using standardized formats that can improve the precision of collected information and lower the possibility of errors and data omission. Dedicated forms have been set up for gathering different thematic data (geologic/geomorphologic, faunal and floristic, path system…etc.). Field data allowed to arrange maps and SDI useful for many application purposes: from country-planning to disaster risk management, from Geoheritage management to Earth Science concepts dissemination.

The Internet of Samples in the Earth Sciences (iSamples)

NASA Astrophysics Data System (ADS)

Carter, M. R.; Lehnert, K. A.

2015-12-01

Across most Earth Science disciplines, research depends on the availability of samples collected above, at, and beneath Earth's surface, on the moon and in space, or generated in experiments. Many domains in the Earth Sciences have recently expressed the need for better discovery, access, and sharing of scientific samples and collections (EarthCube End-User Domain workshops, 2012 and 2013, http://earthcube.org/info/about/end-user-workshops), as has the US government (OSTP Memo, March 2014). The Internet of Samples in the Earth Sciences (iSamples) is an initiative funded as a Research Coordination Network (RCN) within the EarthCube program to address this need. iSamples aims to advance the use of innovative cyberinfrastructure to connect physical samples and sample collections across the Earth Sciences with digital data infrastructures to revolutionize their utility for science. iSamples strives to build, grow, and foster a new community of practice, in which domain scientists, curators of sample repositories and collections, computer and information scientists, software developers and technology innovators engage in and collaborate on defining, articulating, and addressing the needs and challenges of physical samples as a critical component of digital data infrastructure. A primary goal of iSamples is to deliver a community-endorsed set of best practices and standards for the registration, description, identification, and citation of physical specimens and define an actionable plan for implementation. iSamples conducted a broad community survey about sample sharing and has created 5 different working groups to address the different challenges of developing the internet of samples - from metadata schemas and unique identifiers to an architecture of a shared cyberinfrastructure for collections, to digitization of existing collections, to education, and ultimately to establishing the physical infrastructure that will ensure preservation and access of the physical samples. Creating awareness of the need to include physical samples in discussions of reproducible science is another priority of the iSamples RCN.

Pict'Earth: A new Method of Virtual Globe Data Acquisition

NASA Astrophysics Data System (ADS)

Johnson, J.; Long, S.; Riallant, D.; Hronusov, V.

2007-12-01

Georeferenced aerial imagery facilitates and enhances Earth science investigations. The realized value of imagery as a tool is measured from the spatial, temporal and radiometric resolution of the imagery. Currently, there is an need for a system which facilitates the rapid acquisition and distribution of high-resolution aerial earth images of localized areas. The Pict'Earth group has developed an apparatus and software algorithms which facilitate such tasks. Hardware includes a small radio-controlled model airplane (RC UAV); Light smartphones with high resolution cameras (Nokia NSeries Devices); and a GPS connected to the smartphone via the bluetooth protocol, or GPS-equipped phone. Software includes python code which controls the functions of the smartphone and GPS to acquire data in-flight; Online Virtual Globe applications including Google Earth, AJAX/Web2.0 technologies and services; APIs and libraries for developers, all of which are based on open XML-based GIS data standards. This new process for acquisition and distribution of high-resolution aerial earth images includes the following stages: Perform Survey over area of interest (AOI) with the RC UAV (Mobile Liveprocessing). In real-time our software collects images from the smartphone camera and positional data (latitude, longitude, altitude and heading) from the GPS. The software then calculates the earth footprint (geoprint) of each image and creates KML files which incorporate the georeferenced images and tracks of UAV. Optionally, it is possible to send the data in- flight via SMS/MMS (text and multimedia messages), or cellular internet networks via FTP. In Post processing the images are filtered, transformed, and assembled into a orthorectified image mosaic. The final mosaic is then cut into tiles and uploaded as a user ready product to web servers in kml format for use in Virtual Globes and other GIS applications. The obtained images and resultant data have high spatial resolution, can be updated in near-real time (high temporal resolution), and provide current radiance values (which is important for seasonal work). The final mosaics can also be assembled into time-lapse sequences and presented temporally. The suggested solution is cost effective when compared to the alternative methods of acquiring similar imagery. The systems are compact, mobile, and do not require a substantial amount of auxiliary equipment. Ongoing development of the software makes it possible to adapt the technology to different platforms, smartphones, sensors, and types of data. The range of application of this technology potentially covers a large part of the spectrum of Earth sciences including the calibration and validation of high-resolution satellite-derived products. These systems are currently being used for monitoring of dynamic land and water surface processes, and can be used for reconnaissance when locating and establishing field measurement sites.

J-Earth: An Essential Resource for Terrestrial Remote Sensing and Data Analysis

NASA Astrophysics Data System (ADS)

Dunn, S.; Rupp, J.; Cheeseman, S.; Christensen, P. R.; Prashad, L. C.; Dickenshied, S.; Anwar, S.; Noss, D.; Murray, K.

2011-12-01

There is a need for a software tool that has the ability to display and analyze various types of earth science and social data through a simple, user-friendly interface. The J-Earth software tool has been designed to be easily accessible for download and intuitive use, regardless of the technical background of the user base. This tool does not require courses or text books to learn to use, yet is powerful enough to allow a more general community of users to perform complex data analysis. Professions that will benefit from this tool range from geologists, geographers, and climatologists to sociologists, economists, and ecologists as well as policy makers. J-Earth was developed by the Arizona State University Mars Space Flight Facility as part of the JMARS (Java Mission-planning and Analysis for Remote Sensing) suite of open-source tools. The program is a Geographic Information Systems (GIS) application used for viewing and processing satellite and airborne remote sensing data. While the functionality of JMARS has historically focused on the research needs of the planetary science community, J-Earth has been designed for a much broader Earth-based user audience. NASA instrument products accessible within J-Earth include data from ASTER, GOES, Landsat, MODIS, and TIMS. While J-Earth contains exceptionally comprehensive and high resolution satellite-derived data and imagery, this tool also includes many socioeconomic data products from projects lead by international organizations and universities. Datasets used in J-Earth take the form of grids, rasters, remote sensor "stamps", maps, and shapefiles. Some highly demanded global datasets available within J-Earth include five levels of administrative/political boundaries, climate data for current conditions as well as models for future climates, population counts and densities, land cover/land use, and poverty indicators. While this application does share the same powerful functionality of JMARS, J-Earth's apperance is enhanced for much easier data analysis. J-Earth utilizes a layering system to view data from different sources which can then be exported, scaled, colored and superimposed for quick comparisons. Users may now perform spatial analysis over several diverse datasets with respect to a defined geographic area or the entire globe. In addition, several newly acquired global datasets contain a temporal dimension which when accessed through J-Earth, make this a unique and powerful tool for spatial analysis over time. The functionality and ease of use set J-Earth apart from all other terrestrial GIS software packages and enable endless social, political, and scientific possibilities

Towards a Standard for Provenance and Context for Preservation of Data for Earth System Science

NASA Technical Reports Server (NTRS)

Ramaprian, Hampapuram K.; Moses, John F.

2011-01-01

Long-term data sets with data from many missions are needed to study trends and validate model results that are typical in Earth System Science research. Data and derived products originate from multiple missions (spaceborne, airborne and/or in situ) and from multiple organizations. During the missions as well as well past their termination, it is essential to preserve the data and products to support future studies. Key aspects of preservation are: preserving bits and ensuring data are uncorrupted, preserving understandability with appropriate documentation, and preserving reproducibility of science with appropriate documentation and other artifacts. Computer technology provides adequate standards to ensure that, with proper engineering, bits are preserved as hardware evolves. However, to ensure understandability and reproducibility, it is essential to plan ahead to preserve all the relevant data and information. There are currently no standards to identify the content that needs to be preserved, leading to non-uniformity in content and users not being sure of whether preserved content is comprehensive. Each project, program or agency can specify the items to be preserved as a part of its data management requirements. However, broader community consensus that cuts across organizational or national boundaries would be needed to ensure comprehensiveness, uniformity and long-term utility of archived data. The Federation of Earth Science Information Partners (ESIP), a diverse network of scientists, data stewards and technology developers, has a forum for ESIP members to collaborate on data preservation issues. During early 2011, members discussed the importance of developing a Provenance and Context Content Standard (PCCS) and developed an initial list of content items. This list is based on the outcome of a NASA and NOAA meeting held in 1998 under the auspices of the USGCRP, documentation requirements from NOAA and our experience with some of the NASA Earth science missions. The items are categorized into the following 8 high level categories: Preflight/Pre-Operations, Products (Data), Product Documentation, Mission Calibration, Product Software, Algorithm Input, Validation, Software Tools.

EOS MLS Science Data Processing System: A Description of Architecture and Capabilities

NASA Technical Reports Server (NTRS)

Cuddy, David T.; Echeverri, Mark D.; Wagner, Paul A.; Hanzel, Audrey T.; Fuller, Ryan A.

2006-01-01

This paper describes the architecture and capabilities of the Science Data Processing System (SDPS) for the EOS MLS. The SDPS consists of two major components--the Science Computing Facility and the Science Investigator-led Processing System. The Science Computing Facility provides the facilities for the EOS MLS Science Team to perform the functions of scientific algorithm development, processing software development, quality control of data products, and scientific analyses. The Science Investigator-led Processing System processes and reprocesses the science data for the entire mission and delivers the data products to the Science Computing Facility and to the Goddard Space Flight Center Earth Science Distributed Active Archive Center, which archives and distributes the standard science products.

Community Capacity Building as a vital mechanism for enhancing the growth and efficacy of a sustainable scientific software ecosystem: experiences running a real-time bi-coastal "Open Science for Synthesis" Training Institute for young Earth and Environmental scientists

NASA Astrophysics Data System (ADS)

Schildhauer, M.; Jones, M. B.; Bolker, B.; Lenhardt, W. C.; Hampton, S. E.; Idaszak, R.; Rebich Hespanha, S.; Ahalt, S.; Christopherson, L.

2014-12-01

Continuing advances in computational capabilities, access to Big Data, and virtual collaboration technologies are creating exciting new opportunities for accomplishing Earth science research at finer resolutions, with much broader scope, using powerful modeling and analytical approaches that were unachievable just a few years ago. Yet, there is a perceptible lag in the abilities of the research community to capitalize on these new possibilities, due to lacking the relevant skill-sets, especially with regards to multi-disciplinary and integrative investigations that involve active collaboration. UC Santa Barbara's National Center for Ecological Analysis and Synthesis (NCEAS), and the University of North Carolina's Renaissance Computing Institute (RENCI), were recipients of NSF OCI S2I2 "Conceptualization awards", charged with helping define the needs of the research community relative to enabling science and education through "sustained software infrastructure". Over the course of our activities, a consistent request from Earth scientists was for "better training in software that enables more effective, reproducible research." This community-based feedback led to creation of an "Open Science for Synthesis" Institute— a innovative, three-week, bi-coastal training program for early career researchers. We provided a mix of lectures, hands-on exercises, and working group experience on topics including: data discovery and preservation; code creation, management, sharing, and versioning; scientific workflow documentation and reproducibility; statistical and machine modeling techniques; virtual collaboration mechanisms; and methods for communicating scientific results. All technologies and quantitative tools presented were suitable for advancing open, collaborative, and reproducible synthesis research. In this talk, we will report on the lessons learned from running this ambitious training program, that involved coordinating classrooms among two remote sites, and included developing original synthesis research activities as part of the course. We also report on the feedback provided by participants as to the learning approaches and topical issues they found most engaging, and why.

OnEarth: An Open Source Solution for Efficiently Serving High-Resolution Mapped Image Products

NASA Astrophysics Data System (ADS)

Thompson, C. K.; Plesea, L.; Hall, J. R.; Roberts, J. T.; Cechini, M. F.; Schmaltz, J. E.; Alarcon, C.; Huang, T.; McGann, J. M.; Chang, G.; Boller, R. A.; Ilavajhala, S.; Murphy, K. J.; Bingham, A. W.

2013-12-01

This presentation introduces OnEarth, a server side software package originally developed at the Jet Propulsion Laboratory (JPL), that facilitates network-based, minimum-latency geolocated image access independent of image size or spatial resolution. The key component in this package is the Meta Raster Format (MRF), a specialized raster file extension to the Geospatial Data Abstraction Library (GDAL) consisting of an internal indexed pyramid of image tiles. Imagery to be served is converted to the MRF format and made accessible online via an expandable set of server modules handling requests in several common protocols, including the Open Geospatial Consortium (OGC) compliant Web Map Tile Service (WMTS) as well as Tiled WMS and Keyhole Markup Language (KML). OnEarth has recently transitioned to open source status and is maintained and actively developed as part of GIBS (Global Imagery Browse Services), a collaborative project between JPL and Goddard Space Flight Center (GSFC). The primary function of GIBS is to enhance and streamline the data discovery process and to support near real-time (NRT) applications via the expeditious ingestion and serving of full-resolution imagery representing science products from across the NASA Earth Science spectrum. Open source software solutions are leveraged where possible in order to utilize existing available technologies, reduce development time, and enlist wider community participation. We will discuss some of the factors and decision points in transitioning OnEarth to a suitable open source paradigm, including repository and licensing agreement decision points, institutional hurdles, and perceived benefits. We will also provide examples illustrating how OnEarth is integrated within GIBS and other applications.

Models for Deploying Open Source and Commercial Software to Support Earth Science Data Processing and Distribution

NASA Astrophysics Data System (ADS)

Yetman, G.; Downs, R. R.

2011-12-01

Software deployment is needed to process and distribute scientific data throughout the data lifecycle. Developing software in-house can take software development teams away from other software development projects and can require efforts to maintain the software over time. Adopting and reusing software and system modules that have been previously developed by others can reduce in-house software development and maintenance costs and can contribute to the quality of the system being developed. A variety of models are available for reusing and deploying software and systems that have been developed by others. These deployment models include open source software, vendor-supported open source software, commercial software, and combinations of these approaches. Deployment in Earth science data processing and distribution has demonstrated the advantages and drawbacks of each model. Deploying open source software offers advantages for developing and maintaining scientific data processing systems and applications. By joining an open source community that is developing a particular system module or application, a scientific data processing team can contribute to aspects of the software development without having to commit to developing the software alone. Communities of interested developers can share the work while focusing on activities that utilize in-house expertise and addresses internal requirements. Maintenance is also shared by members of the community. Deploying vendor-supported open source software offers similar advantages to open source software. However, by procuring the services of a vendor, the in-house team can rely on the vendor to provide, install, and maintain the software over time. Vendor-supported open source software may be ideal for teams that recognize the value of an open source software component or application and would like to contribute to the effort, but do not have the time or expertise to contribute extensively. Vendor-supported software may also have the additional benefits of guaranteed up-time, bug fixes, and vendor-added enhancements. Deploying commercial software can be advantageous for obtaining system or software components offered by a vendor that meet in-house requirements. The vendor can be contracted to provide installation, support and maintenance services as needed. Combining these options offers a menu of choices, enabling selection of system components or software modules that meet the evolving requirements encountered throughout the scientific data lifecycle.

NSSDC Conference on Mass Storage Systems and Technologies for Space and Earth Science Applications, volume 3

NASA Technical Reports Server (NTRS)

Kobler, Ben (Editor); Hariharan, P. C. (Editor); Blasso, L. G. (Editor)

1992-01-01

This report contains copies of nearly all of the technical papers and viewgraphs presented at the National Space Science Data Center (NSSDC) Conference on Mass Storage Systems and Technologies for Space and Earth Science Applications. This conference served as a broad forum for the discussion of a number of important issues in the field of mass storage systems. Topics include magnetic disk and tape technologies, optical disk and tape, software storage and file management systems, and experiences with the use of a large, distributed storage system. The technical presentations describe, among other things, integrated mass storage systems that are expected to be available commercially. Also included is a series of presentations from Federal Government organizations and research institutions covering their mass storage requirements for the 1990s.

Requirements Engineering in Building Climate Science Software

NASA Astrophysics Data System (ADS)

Batcheller, Archer L.

Software has an important role in supporting scientific work. This dissertation studies teams that build scientific software, focusing on the way that they determine what the software should do. These requirements engineering processes are investigated through three case studies of climate science software projects. The Earth System Modeling Framework assists modeling applications, the Earth System Grid distributes data via a web portal, and the NCAR (National Center for Atmospheric Research) Command Language is used to convert, analyze and visualize data. Document analysis, observation, and interviews were used to investigate the requirements-related work. The first research question is about how and why stakeholders engage in a project, and what they do for the project. Two key findings arise. First, user counts are a vital measure of project success, which makes adoption important and makes counting tricky and political. Second, despite the importance of quantities of users, a few particular "power users" develop a relationship with the software developers and play a special role in providing feedback to the software team and integrating the system into user practice. The second research question focuses on how project objectives are articulated and how they are put into practice. The team seeks to both build a software system according to product requirements but also to conduct their work according to process requirements such as user support. Support provides essential communication between users and developers that assists with refining and identifying requirements for the software. It also helps users to learn and apply the software to their real needs. User support is a vital activity for scientific software teams aspiring to create infrastructure. The third research question is about how change in scientific practice and knowledge leads to changes in the software, and vice versa. The "thickness" of a layer of software infrastructure impacts whether the software team or users have control and responsibility for making changes in response to new scientific ideas. Thick infrastructure provides more functionality for users, but gives them less control of it. The stability of infrastructure trades off against the responsiveness that the infrastructure can have to user needs.

EVEREST: Creating a Virtual Research Environment for Earth Science

NASA Astrophysics Data System (ADS)

Glaves, H.

2017-12-01

There is an increasing trend towards researchers working together using common resources whilst being geographically dispersed. The EVER-EST project is developing a range of both generic and domain specific technologies, tailored to the needs of Earth Science (ES) communities, to create a virtual research environment (VRE) that supports this type of dynamic collaborative research. The EVER-EST VRE provides a suite of services to overcome the existing barriers to sharing of Earth Science data and information allowing researchers to discover, access, share and process heterogeneous data, algorithms, results and experiences within and across their communities, and with other domains beyond the Earth Sciences. Researchers will be able to seamlessly manage both the data and the scientific methods applied in their observations and modelling that lead to results that need to be attributable, validated and shared both within their communities and more widely in the form of scholarly communications.To ensure that the EVER-EST VRE meets the specific needs of the Earth Science domain, it is being developed and validated in consultation with four pre-selected virtual research communities (VRC) that include ocean observing, natural hazards, land monitoring and volcanic risk management. The requirements of these individual VRCs for data, software, best practice and community interaction are used to customise the VRE platform This user-centric approach allows the EVER-EST infrastructure to be assessed in terms of its capability to satisfy the heterogeneous needs of Earth Science communities for more effective collaboration, greater efficiency and increasingly innovative research. EVER-EST is a three year project funded by the European Union's Horizon 2020 research and innovation programme under grant agreement no 674907.

Engaging Middle School Students with Google Earth Technology to Analyze Ocean Cores as Evidence for Sea Floor Spreading

NASA Astrophysics Data System (ADS)

Prouhet, T.; Cook, J.

2006-12-01

Google Earth's ability to captivate students' attention, its ease of use, and its high quality images give it the potential to be an extremely effective tool for earth science educators. The unique properties of Google Earth satisfy a growing demand to incorporate technology in science instruction. Google Earth is free and relatively easy to use unlike some other visualization software. Students often have difficulty conceptualizing and visualizing earth systems, such as deep-ocean basins, because of the complexity and dynamic nature of the processes associated with them (e.g. plate tectonics). Google Earth's combination of aerial photography, satellite images and remote sensing data brings a sense of realism to science concepts. The unobstructed view of the ocean floor provided by this technology illustrates three-dimensional subsurface features such as rift valleys, subduction zones, and sea-mounts enabling students to better understand the seafloor's dynamic nature. Students will use Google Earth to navigate the sea floor, and examine Deep Sea Drilling Project (DSDP) core locations the from the Glomar Challenger Leg 3 expedition. The lesson to be implemented was expanded upon and derived from the Joint Oceanographic Insitute (JOI) Learning exercise, Nannofossils Reveal Seafloor Spreading. In addition, students take on the role of scientists as they graph and analyze paleontological data against the distance from the Mid Ocean Ridge. The integration of ocean core data in this three-dimensional view aids students' ability to draw and communicate valid conclusions about their scientific observations. A pre and post survey will be given to examine attitudes, self-efficacy, achievement and content mastery to a sample of approximately 300 eighth grade science students. The hypothesis is that the integration of Google Earth will significantly improve all areas of focus as mentioned above.

Remote sensing information sciences research group: Browse in the EOS era

NASA Technical Reports Server (NTRS)

Estes, John E.; Star, Jeffrey L.

1989-01-01

The problem of science data browse was examined. Given the tremendous data volumes that are planned for future space missions, particularly the Earth Observing System in the late 1990's, the need for access to large spatial databases must be understood. Work was continued to refine the concept of data browse. Further, software was developed to provide a testbed of the concepts, both to locate possibly interesting data, as well as view a small portion of the data. Build II was placed on a minicomputer and a PC in the laboratory, and provided accounts for use in the testbed. Consideration of the testbed software as an element of in-house data management plans was begun.

Space-Based Information Services

NASA Astrophysics Data System (ADS)

Lee, C.

With useful data now beginning to flow from earth observation and navigation satellites, it is an active time for the development of space services - all types of satellites are now being put to work, not just Comsats. However derived products require a blend of innovative software design, low cost operational support and a real insight into the information needs of the customer. Science Systems is meeting this challenge through a series of on-going projects, three of which are summarised here (addressing navigation, communications and earth observation). By demonstrating a broad range of related disciplines; from monitoring and control to back-room billing; from data management to intelligent systems, Science Systems hopes to play a key role in this developing market.

Collaboration and Perspectives on Identity Management and Access from two Geoscience Cyberinfrastructure Programs

NASA Astrophysics Data System (ADS)

Ramamurthy, M. K.

2016-12-01

Increasingly, the conduct of science requires close international collaborations to share data, information, knowledge, expertise, and other resources. This is particularly true in the geosciences where the highly connected nature of the Earth system and the need to understand global environmental processes have heightened the importance of scientific partnerships. As geoscience studies become a team effort involving networked scientists and data providers, it is crucial that there is open and reliable access to earth system data of all types, software, tools, models, and other assets. That environment demands close attention to security-related matters, including the creation of trustworthy cyberinfrastructure to facilitate the efficient use of available resources and support the conduct of science. Unidata and EarthCube, both of which are NSF-funded and community-driven programs, recognize the importance of collaborations and the value of networked communities. Unidata, a cornerstone cyberinfrastructure facility for the geosciences, includes users in nearly 180 countries. The EarthCube initiative is aimed at transforming the conduct of geosciences research by creating a well-connected and facile environment for sharing data and in an open, transparent, and inclusive manner and to accelerate our ability to understand and predict the Earth system. We will present the Unidata and EarthCube community perspectives on the approaches to balancing an environment that promotes open and collaborative eScience with the needs for security and communication, including what works, what is needed, the challenges, and opportunities to advance science.

Making interdisciplinary solid Earth modeling and analysis tools accessible in a diverse undergraduate and graduate classroom

NASA Astrophysics Data System (ADS)

Becker, T. W.

2011-12-01

I present results from ongoing, NSF-CAREER funded educational and research efforts that center around making numerical tools in seismology and geodynamics more accessible to a broader audience. The goal is not only to train students in quantitative, interdisciplinary research, but also to make methods more easily accessible to practitioners across disciplines. I describe the two main efforts that were funded, the Solid Earth Research and Teaching Environment (SEATREE, geosys.usc.edu/projects/seatree/), and a new Numerical Methods class. SEATREE is a modular and user-friendly software framework to facilitate using solid Earth research tools in the undergraduate and graduate classroom and for interdisciplinary, scientific collaboration. We use only open-source software, and most programming is done in the Python computer language. We strive to make use of modern software design and development concepts while remaining compatible with traditional scientific coding and existing, legacy software. Our goals are to provide a fully contained, yet transparent package that lets users operate in an easy, graphically supported "black box" mode, while also allowing to look under the hood, for example to conduct numerous forward models to explore parameter space. SEATREE currently has several implemented modules, including on global mantle flow, 2D phase velocity tomography, and 2D mantle convection and was used at the University of Southern California, Los Angeles, and at a 2010 CIDER summer school tutorial. SEATREE was developed in collaboration with engineering and computer science undergraduate students, some of which have gone on to work in Earth Science projects. In the long run, we envision SEATREE to contribute to new ways of sharing scientific research, and making (numerical) experiments truly reproducible again. The other project is a set of lecture notes and Matlab exercises on Numerical Methods in solid Earth, focusing on finite difference and element methods. The class has been taught several times at USC to a broad audience of Earth science students with very diverse levels of exposure to math and physics. It is our goal to bring everyone up to speed and empower students, and we have seen structural geology students with very little exposure to math go on to construct their own numerical models of pTt-paths in a core-complex setting. This exemplifies the goal of teaching students to both be able to put together simple numerical models from scratch, and, perhaps more importantly, to truly understand the basic concepts, capabilities, and pitfalls of the more powerful community codes that are being increasingly used. SEATREE and the Numerical Methods class material are freely available at geodynamics.usc.edu/~becker.

Practitioner Perspectives on the Use of Technology in Fieldwork Teaching

ERIC Educational Resources Information Center

Fletcher, Stephen; France, Derek; Moore, Kate; Robinson, Geoff

2007-01-01

During the last decade, technological developments in computer hardware, software and networks, combined with increasing pressures on staff and students, have led to a proliferation of Communication and Information Technology (C&IT) within the Geography, Earth and Environmental Sciences (GEES) disciplines. This research investigates the role of…

Using Selection Pressure as an Asset to Develop Reusable, Adaptable Software Systems

NASA Technical Reports Server (NTRS)

Berrick, Stephen; Lynnes, Christopher

2007-01-01

The Goddard Earth Sciences Data and Information Services Center (GES DISC) at NASA has over the years developed and honed several reusable architectural components for supporting large-scale data centers with a large customer base. These include a processing system (S4PM) and an archive system (S4PA) based upon a workflow engine called the Simple Scalable Script based Science Processor (S4P) and an online data visualization and analysis system (Giovanni). These subsystems are currently reused internally in a variety of combinations to implement customized data management on behalf of instrument science teams and other science investigators. Some of these subsystems (S4P and S4PM) have also been reused by other data centers for operational science processing. Our experience has been that development and utilization of robust interoperable and reusable software systems can actually flourish in environments defined by heterogeneous commodity hardware systems the emphasis on value-added customer service and the continual goal for achieving higher cost efficiencies. The repeated internal reuse that is fostered by such an environment encourages and even forces changes to the software that make it more reusable and adaptable. Allowing and even encouraging such selective pressures to software development has been a key factor In the success of S4P and S4PM which are now available to the open source community under the NASA Open source Agreement

The Satellite Data Thematic Core Service within the EPOS Research Infrastructure

NASA Astrophysics Data System (ADS)

Manunta, Michele; Casu, Francesco; Zinno, Ivana; De Luca, Claudio; Buonanno, Sabatino; Zeni, Giovanni; Wright, Tim; Hooper, Andy; Diament, Michel; Ostanciaux, Emilie; Mandea, Mioara; Walter, Thomas; Maccaferri, Francesco; Fernandez, Josè; Stramondo, Salvatore; Bignami, Christian; Bally, Philippe; Pinto, Salvatore; Marin, Alessandro; Cuomo, Antonio

2017-04-01

EPOS, the European Plate Observing System, is a long-term plan to facilitate the integrated use of data, data products, software and services, available from distributed Research Infrastructures (RI), for solid Earth science in Europe. Indeed, EPOS integrates a large number of existing European RIs belonging to several fields of the Earth science, from seismology to geodesy, near fault and volcanic observatories as well as anthropogenic hazards. The EPOS vision is that the integration of the existing national and trans-national research infrastructures will increase access and use of the multidisciplinary data recorded by the solid Earth monitoring networks, acquired in laboratory experiments and/or produced by computational simulations. The establishment of EPOS will foster the interoperability of products and services in the Earth science field to a worldwide community of users. Accordingly, the EPOS aim is to integrate the diverse and advanced European Research Infrastructures for solid Earth science, and build on new e-science opportunities to monitor and understand the dynamic and complex solid-Earth System. One of the EPOS Thematic Core Services (TCS), referred to as Satellite Data, aims at developing, implementing and deploying advanced satellite data products and services, mainly based on Copernicus data (namely Sentinel acquisitions), for the Earth science community. This work intends to present the technological enhancements, fostered by EPOS, to deploy effective satellite services in a harmonized and integrated way. In particular, the Satellite Data TCS will deploy five services, EPOSAR, GDM, COMET, 3D-Def and MOD, which are mainly based on the exploitation of SAR data acquired by the Sentinel-1 constellation and designed to provide information on Earth surface displacements. In particular, the planned services will provide both advanced DInSAR products (deformation maps, velocity maps, deformation time series) and value-added measurements (source model, 3D displacement maps, seismic hazard maps). Moreover, the services will release both on-demand and systematic products. The latter will be generated and made available to the users on a continuous basis, by processing each Sentinel-1 data once acquired, over a defined number of areas of interest; while the former will allow users to select data, areas, and time period to carry out their own analyses via an on-line platform. The satellite components will be integrated within the EPOS infrastructure through a common and harmonized interface that will allow users to search, process and share remote sensing images and results. This gateway to the satellite services will be represented by the ESA- Geohazards Exploitation Platform (GEP), a new cloud-based platform for the satellite Earth Observations designed to support the scientific community in the understanding of high impact natural disasters. Satellite Data TCS will use GEP as the common interface toward the main EPOS portal to provide EPOS users not only with data products but also with relevant processing and visualisation software, thus allowing users to gather and process on a cloud-computing infrastructure large datasets without any need to download them locally.

Mars for Earthlings: An Analog Approach to Mars in Undergraduate Education

PubMed Central

Kahmann-Robinson, Julia

2014-01-01

Abstract Mars for Earthlings (MFE) is a terrestrial Earth analog pedagogical approach to teaching undergraduate geology, planetary science, and astrobiology. MFE utilizes Earth analogs to teach Mars planetary concepts, with a foundational backbone in Earth science principles. The field of planetary science is rapidly changing with new technologies and higher-resolution data sets. Thus, it is increasingly important to understand geological concepts and processes for interpreting Mars data. MFE curriculum is topically driven to facilitate easy integration of content into new or existing courses. The Earth-Mars systems approach explores planetary origins, Mars missions, rocks and minerals, active driving forces/tectonics, surface sculpting processes, astrobiology, future explorations, and hot topics in an inquiry-driven environment. Curriculum leverages heavily upon multimedia resources, software programs such as Google Mars and JMARS, as well as NASA mission data such as THEMIS, HiRISE, CRISM, and rover images. Two years of MFE class evaluation data suggest that science literacy and general interest in Mars geology and astrobiology topics increased after participation in the MFE curriculum. Students also used newly developed skills to create a Mars mission team presentation. The MFE curriculum, learning modules, and resources are available online at http://serc.carleton.edu/marsforearthlings/index.html. Key Words: Mars—Geology—Planetary science—Astrobiology—NASA education. Astrobiology 14, 42–49. PMID:24359289

Immersive Earth: Teaching Earth and Space with inexpensive immersive technology

NASA Astrophysics Data System (ADS)

Reiff, P. H.; Sumners, C.; Law, C. C.; Handron, K.

2003-12-01

In 1995 we pioneered "Space Update", the Digital Library for the rest of us", software that was so simple that a child could use it without a keyboard and yet would allow one-click updating of the daily earth and space science images without the dangers of having an open web browser on display. Thanks to NASA support, it allowed museums and schools to have a powerful exhibit for a tiny price. Over 40,000 disks in our series have been distributed so far to educators and the public. In 2003, with our partners we are again revolutionizing educational technology with a low-cost hardware and software solution to creating and displaying immersive content. Recently selected for funding as part of the REASoN competition, Immersive Earth is a partnership of scientists, museums, educators, and content providers. The hardware consists of a modest projector with a special fisheye lens to be used in an inflatable dome which many schools already have. This, coupled with a modest personal computer, can now easily project images and movies of earth and space, allows training students in 3-D content at a tiny fraction of the cost of a cave or fullscale dome theater. Another low-cost solution is the "Imove" system, where spherical movies can play on a personal computer, with the user changing the viewing direction with a joystick. We were the first to create immersive earth science shows, remain the leader in creating educational content that people want to see. We encourage people with "allsky" images or movies to bring it and see what it looks like inside a dome! Your content could be in our next show!

Talkoot Portals: Discover, Tag, Share, and Reuse Collaborative Science Workflows

NASA Astrophysics Data System (ADS)

Wilson, B. D.; Ramachandran, R.; Lynnes, C.

2009-05-01

A small but growing number of scientists are beginning to harness Web 2.0 technologies, such as wikis, blogs, and social tagging, as a transformative way of doing science. These technologies provide researchers easy mechanisms to critique, suggest and share ideas, data and algorithms. At the same time, large suites of algorithms for science analysis are being made available as remotely-invokable Web Services, which can be chained together to create analysis workflows. This provides the research community an unprecedented opportunity to collaborate by sharing their workflows with one another, reproducing and analyzing research results, and leveraging colleagues' expertise to expedite the process of scientific discovery. However, wikis and similar technologies are limited to text, static images and hyperlinks, providing little support for collaborative data analysis. A team of information technology and Earth science researchers from multiple institutions have come together to improve community collaboration in science analysis by developing a customizable "software appliance" to build collaborative portals for Earth Science services and analysis workflows. The critical requirement is that researchers (not just information technologists) be able to build collaborative sites around service workflows within a few hours. We envision online communities coming together, much like Finnish "talkoot" (a barn raising), to build a shared research space. Talkoot extends a freely available, open source content management framework with a series of modules specific to Earth Science for registering, creating, managing, discovering, tagging and sharing Earth Science web services and workflows for science data processing, analysis and visualization. Users will be able to author a "science story" in shareable web notebooks, including plots or animations, backed up by an executable workflow that directly reproduces the science analysis. New services and workflows of interest will be discoverable using tag search, and advertised using "service casts" and "interest casts" (Atom feeds). Multiple science workflow systems will be plugged into the system, with initial support for UAH's Mining Workflow Composer and the open-source Active BPEL engine, and JPL's SciFlo engine and the VizFlow visual programming interface. With the ability to share and execute analysis workflows, Talkoot portals can be used to do collaborative science in addition to communicate ideas and results. It will be useful for different science domains, mission teams, research projects and organizations. Thus, it will help to solve the "sociological" problem of bringing together disparate groups of researchers, and the technical problem of advertising, discovering, developing, documenting, and maintaining inter-agency science workflows. The presentation will discuss the goals of and barriers to Science 2.0, the social web technologies employed in the Talkoot software appliance (e.g. CMS, social tagging, personal presence, advertising by feeds, etc.), illustrate the resulting collaborative capabilities, and show early prototypes of the web interfaces (e.g. embedded workflows).

Aura Atmospheric Data Products and Their Availability from NASA Goddard Earth Sciences DAAC

NASA Technical Reports Server (NTRS)

Ahmad, S.; Johnson, J.; Gopalan, A.; Smith, P.; Leptoukh, G.; Kempler, S.

2004-01-01

NASA's EOS-Aura spacecraft was launched successfully on July 15, 2004. The four instruments onboard the spacecraft are the Microwave Limb Sounder (MLS), the Ozone Monitoring Instrument (OMI), the Tropospheric Emission Spectrometer (TES), and the High Resolution Dynamics Limb Sounder (HBDLS). The Aura instruments are designed to gather earth sciences measurements across the ultraviolet, visible, infra-red, thermal and microwave regions of the electromagnetic spectrum. Aura will provide over 70 distinct standard atmospheric data products for use in ozone layer and surface UV-B monitoring, air quality forecast, and atmospheric chemistry and climate change studies (http://eosaura.gsfc.nasa.gov/). These products include earth-atmosphere radiances and solar spectral irradiances; total column, tropospheric, and profiles of ozone and other trace gases, surface W-B flux; clouds and aerosol characteristics; and temperature, geopotential height, and water vapor profiles. The MLS, OMI, and HIRDLS data products will be archived at the NASA Goddard Earth Sciences (GES) Distributed Active Archive Center (DAAC), while data from TES will be archived at NASA Langley Research Center DAAC. Some of the standard products which have gone through quick preliminary checks are already archived at the GES DAAC (http://daac.nsfc.nasa.gov/) and are available to the Aura science team and data validation team members for data validation; and to the application and visualization software developers, for testing their application modules. Once data are corrected for obvious calibration problems and partially validated using in-situ observations, they would be made available to the broader user community. This presentation will provide details of the whole suite of Aura atmospheric data products, and the time line of the availability of the rest of the preliminary products and of the partially validated provisional products. Software and took available for data access, visualization, and data mining will also be discussed.

Datacasting V3.0

NASA Technical Reports Server (NTRS)

Bingham, Andrew W.; McCleese, Sean W.; Deen, Robert G.; Chung, Nga T.; Stough, Timothy M.

2013-01-01

Datacasting V3.0 provides an RSSbased feed mechanism for publishing the availability of Earth science data records in real time. It also provides a utility for subscribing to these feeds and sifting through all the items in an automatic manner to identify and download the data records that are required for a specific application. Datacasting is a method by which multiple data providers can publish the availability of new Earth science data and users download those files that meet a predefined need; for example, to only download data files related to a specific earthquake or region on the globe. Datacasting is a server-client architecture. The server-side software is used by data providers to create and publish the metadata about recently available data according to the Datacasting RSS (Really Simple Syndication) specification. The client software subscribes to the Datacasting RSS and other RSS-based feeds. By configuring filters associated with feeds, data consumers can use the client to identify and automatically download files that meet a specific need. On the client side, a Datacasting feed reader monitors the server for new feeds. The feed reader will be tuned by the user, via a graphical user interface (GUI), to examine the content of the feeds and initiate a data pull after some criteria are satisfied. The criteria might be, for example, to download sea surface temperature data for a particular region that has cloud cover less than 50% and during daylight hours. After the granule is downloaded to the client, the user will have the ability to visualize the data in the GUI. Based on the popular concept of podcasting, which gives listeners the capability to download only those MP3 files that match their preference, Earth science Datacasting will give users a method to download only the Earth science data files that are required for a particular application.

Building Interactive Visualizations for Geochronological Data

NASA Astrophysics Data System (ADS)

Zeringue, J.; Bowring, J. F.; McLean, N. M.; Pastor, F.

2014-12-01

Since the early 1990s, Ken Ludwig's Isoplot software has been the tool of choice for visualization and analysis of isotopic data used for geochronology. The software is an add-in to Microsoft Excel that allows users to generate visual representations of data. However, recent changes to Excel have made Isoplot more difficult to use and maintain, and the software is no longer supported. In the last several years, the Cyber Infrastructure Research and Development Lab for the Earth Sciences (CIRDLES), at the College of Charleston, has worked collaboratively with geochronologists to develop U-Pb_Redux, a software product that provides some of Isoplot's functionality for U-Pb geochronology. However, the community needs a full and complete Isoplot replacement that is open source, platform independent, and not dependent on proprietary software. This temporary lapse in tooling also presents a tremendous opportunity for scientific computing in the earth sciences. When Isoplot was written for Excel, it gained much of the platform's flexibility and power but also was burdened with its limitations. For example, Isoplot could not be used outside of Excel, could not be cross-platform (so long as Excel wasn't), could not be embedded in other applications, and only static images could be produced. Nonetheless this software was and still is a powerful tool that has served the community for more than two decades and the trade-offs were more than acceptable. In 2014, we seek to gain flexibility not available with Excel. We propose that the next generation of charting software be reusable, platform-agnostic, and interactive. This new software should allow scientists to easily explore—not just passively view—their data. Beginning in the fall of 2013, researchers at CIRDLES began planning for and prototyping a 21st-century replacement for Isoplot, which we call Topsoil, an anagram of Isoplot. This work is being conducted in the public domain at https://github.com/CIRDLES/topsoil. We welcome and encourage community participation and contributions.

Digital Earth reloaded - Beyond the next generation

NASA Astrophysics Data System (ADS)

Ehlers, M.; Woodgate, P.; Annoni, A.; Schade, S.

2014-02-01

Digital replicas (or 'mirror worlds') of complex entities and systems are now routine in many fields such as aerospace engineering; archaeology; medicine; or even fashion design. The Digital Earth (DE) concept as a digital replica of the entire planet occurs in Al Gore's 1992 book Earth in the Balance and was popularized in his speech at the California Science Center in January 1998. It played a pivotal role in stimulating the development of a first generation of virtual globes, typified by Google Earth that achieved many elements of this vision. Almost 15 years after Al Gore's speech, the concept of DE needs to be re-evaluated in the light of the many scientific and technical developments in the fields of information technology, data infrastructures, citizen?s participation, and earth observation that have taken place since. This paper intends to look beyond the next generation predominantly based on the developments of fields outside the spatial sciences, where concepts, software, and hardware with strong relationships to DE are being developed without referring to this term. It also presents a number of guiding criteria for future DE developments.

Controversies in the Hydrosphere: an iBook exploring current global water issues for middle school classrooms

NASA Astrophysics Data System (ADS)

Dufoe, A.; Guertin, L. A.

2012-12-01

This project looks to help teachers utilize iPad technology in their classrooms as an instructional tool for Earth system science and connections to the Big Ideas in Earth Science. The project is part of Penn State University's National Science Foundation (NSF) Targeted Math Science Partnership grant, with one goal of the grant to help current middle school teachers across Pennsylvania engage students with significant and complex questions of Earth science. The free Apple software iBooks Author was used to create an electronic book for the iPad, focusing on a variety of controversial issues impacting the hydrosphere. The iBook includes image slideshows, embedded videos, interactive images and quizzes, and critical thinking questions along Bloom's Taxonomic Scale of Learning Objectives. Outlined in the introductory iBook chapters are the Big Ideas of Earth System Science and an overview of Earth's spheres. Since the book targets the hydrosphere, each subsequent chapter focuses on specific water issues, including glacial melts, aquifer depletion, coastal oil pollution, marine debris, and fresh-water chemical contamination. Each chapter is presented in a case study format that highlights the history of the issue, the development and current status of the issue, and some solutions that have been generated. The next section includes critical thinking questions in an open-ended discussion format that focus on the Big Ideas, proposing solutions for rectifying the situation, and/or assignments specifically targeting an idea presented in the case study chapter. Short, comprehensive multiple-choice quizzes are also in each chapter. Throughout the iBook, students are free to watch videos, explore the content and form their own opinions. As a result, this iBook fulfills the grant objective by engaging teachers and students with an innovative technological presentation that incorporates Earth system science with current case studies regarding global water issues.

Onboard Processing and Autonomous Operations on the IPEX Cubesat

NASA Technical Reports Server (NTRS)

Chien, Steve; Doubleday, Joshua; Ortega, Kevin; Flatley, Tom; Crum, Gary; Geist, Alessandro; Lin, Michael; Williams, Austin; Bellardo, John; Puig-Suari, Jordi;

Interoperability Barriers in NASA Earth Science Data Systems from the Perspective of a Science User (Invited)

NASA Astrophysics Data System (ADS)

Kuo, K.

2010-12-01

As a practitioner in the field of atmospheric remote sensing, the author, like many other similar science users, depends on and uses heavily NASA Earth Science remote sensing data. Thus the author is asked by the NASA Earth Science Data Information System Project (ESDIS) to assess the capabilities of the Earth Observing System Data and Information System (EOSDIS) in order to provide suggestions and recommendations for the evolution of EOSDIS in the path towards its 2015 Vision Tenets. As NASA's Earth science data system, EOSDIS provides data processing and data archiving and distribution services for EOS missions. The science operations of EOSDIS are the focus of this report, i.e. data archiving and distribution, which are performed within a distributed system of many interconnected nodes, namely the Science Investigator-led Processing Systems, or SIPS, and distributed data centers. Since its inception in the early 1990s, EOSDIS has represented a democratization of data, a break from the past when data dissemination was at the discretion of project scientists. Its “open data” policy is so highly valued and well received by its user communities that it has influenced other agencies, even those of other countries, to adopt the same open policy. In the last ~10 years EOSDIS has matured to serve very well users of any given science community in which the varieties of data being used change infrequently. The unpleasant effects of interoperability barriers are now more often felt by users who try to use new data outside their existing familiar set. This paper first defines interoperability and identifies the purposes for achieving interoperability. The sources of interoperability barriers, classified by the author into software, hardware, and human categories, are examined. For a subset of issues related to software, it presents diagnoses obtained from experience of the author and his survey of the EOSDIS data finding, ordering, retrieving, and extraction services. it also reports on an analysis of his survey regarding tools provided by EOSDIS or its user communities and intended to make routine data manipulations easier. Barriers in the hardware category are those resulting from differences in orbit configurations of the spacecrafts and differences in remote sensing modality (active or passive), spectral and spatial resolutions, scanning strategies, etc. of the instruments. Such differences are best understood by considering the nature of remotely sensed observations. Human factors are further classified into institutional and individual subcategories. The former includes factors such as NASA’s funding practices and the latter relates to individuals’ propensity in adopting new technologies. Finally, a strategy for overcoming these barriers is proposed.

EPOS data and service provision to scientists and other stakeholders

NASA Astrophysics Data System (ADS)

Cocco, Massimo; EPOS Team

2017-04-01

EPOS brings together European nations and combines solid Earth science infrastructures and their associated data and services together with the scientific expertise into one integrated delivery system for solid Earth science. By improving and facilitating the integration, access, use, and re-use of solid Earth science data, data products, services and facilities EPOS is developing a holistic, sustainable, multidisciplinary research platform to provide coordinated access to harmonized and quality controlled data from diverse Earth science disciplines, together with tools for their use in analysis and modelling. EPOS has been designed with the vision of creating a single distributed pan-European infrastructure for solid Earth science to support a safe and sustainable society. In accordance with this scientific vision, the EPOS mission is to integrate the diverse and advanced European Research Infrastructures for solid Earth relying on new e-science opportunities to monitor and unravel the dynamic and complex Earth System. EPOS is presently in its implementation phase, which consists of the EPOS IP project and the legal establishment of EPOS-ERIC. The EPOS Implementation Phase builds on the achievements of the successful EPOS Preparatory Phase project. The EPOS implementation phase will last from 2015 to 2019. The key objectives of the project are: implementing Thematic Core Services (TCS), the domain-specific service hubs for coordinating and harmonizing national resources/plans with the European dimension of EPOS; building the Integrated Core Services (ICS) to provide a novel research platform to different stakeholders; designing the access to distributed computational resources (ICS-D); ensuring sustainability and governance of TCS and EPOS-ERIC. Here we present the activities planned for the implementation phase focusing on the TCS, the ICS and on their interoperability. We will present and discuss the data and service provision focusing on the data, data-products, software and services (DDSS) presently under implementation, which will be validated and tested during the next eigheen months. To accomplish its mission, EPOS is engaging different stakeholders, not limited to scientists, to allow the Earth sciences to open new horizons in our understanding of the planet Earth and in contributing to prepare society for geo-hazards. Understanding how the Earth works as a system is critically important to modern society. Society needs resources to support home life, industry and business and it needs security in the face of natural hazards. Volcanic eruptions, earthquakes, floods, landslides, tsunamis, weather, and global climate change are all Earth phenomena impacting on society. Solid Earth science by bringing together many diverse disciplines such as geology, seismology, geodesy, volcanology, geomagnetism as well as chemistry and physics as they all apply to the workings of Earth, is the place where to find answers on how to maintain the Earth a safe, prosperous, and habitable planet.

Impacts and Viability of Open Source Software on Earth Science Metadata Clearing House and Service Registry Applications

NASA Astrophysics Data System (ADS)

Pilone, D.; Cechini, M. F.; Mitchell, A.

2011-12-01

Earth Science applications typically deal with large amounts of data and high throughput rates, if not also high transaction rates. While Open Source is frequently used for smaller scientific applications, large scale, highly available systems frequently fall back to "enterprise" class solutions like Oracle RAC or commercial grade JEE Application Servers. NASA's Earth Observing System Data and Information System (EOSDIS) provides end-to-end capabilities for managing NASA's Earth science data from multiple sources - satellites, aircraft, field measurements, and various other programs. A core capability of EOSDIS, the Earth Observing System (EOS) Clearinghouse (ECHO), is a highly available search and order clearinghouse of over 100 million pieces of science data that has evolved from its early R&D days to a fully operational system. Over the course of this maturity ECHO has largely transitioned from commercial frameworks, databases, and operating systems to Open Source solutions...and in some cases, back. In this talk we discuss the progression of our technological solutions and our lessons learned in the areas of: ? High performance, large scale searching solutions ? GeoSpatial search capabilities and dealing with multiple coordinate systems ? Search and storage of variable format source (science) data ? Highly available deployment solutions ? Scalable (elastic) solutions to visual searching and image handling Throughout the evolution of the ECHO system we have had to evaluate solutions with respect to performance, cost, developer productivity, reliability, and maintainability in the context of supporting global science users. Open Source solutions have played a significant role in our architecture and development but several critical commercial components remain (or have been reinserted) to meet our operational demands.

Incorporating ISO Metadata Using HDF Product Designer

NASA Technical Reports Server (NTRS)

Jelenak, Aleksandar; Kozimor, John; Habermann, Ted

2016-01-01

The need to store in HDF5 files increasing amounts of metadata of various complexity is greatly overcoming the capabilities of the Earth science metadata conventions currently in use. Data producers until now did not have much choice but to come up with ad hoc solutions to this challenge. Such solutions, in turn, pose a wide range of issues for data managers, distributors, and, ultimately, data users. The HDF Group is experimenting on a novel approach of using ISO 19115 metadata objects as a catch-all container for all the metadata that cannot be fitted into the current Earth science data conventions. This presentation will showcase how the HDF Product Designer software can be utilized to help data producers include various ISO metadata objects in their products.

Characterizing the scientific potential of satellite sensors. [San Francisco, California

NASA Technical Reports Server (NTRS)

1984-01-01

Eleven thematic mapper (TM) radiometric calibration programs were tested and evaluated in support of the task to characterize the potential of LANDSAT TM digital imagery for scientific investigations in the Earth sciences and terrestrial physics. Three software errors related to integer overflow, divide by zero, and nonexist file group were found and solved. Raw, calibrated, and corrected image groups that were created and stored on the Barker2 disk are enumerated. Black and white pixel print files were created for various subscenes of a San Francisco scene (ID 40392-18152). The development of linear regression software is discussed. The output of the software and its function are described. Future work in TM radiometric calibration, image processing, and software development is outlined.

New Catalog of Resources Enables Paleogeosciences Research

NASA Astrophysics Data System (ADS)

Lingo, R. C.; Horlick, K. A.; Anderson, D. M.

2014-12-01

The 21st century promises a new era for scientists of all disciplines, the age where cyber infrastructure enables research and education and fuels discovery. EarthCube is a working community of over 2,500 scientists and students of many Earth Science disciplines who are looking to build bridges between disciplines. The EarthCube initiative will create a digital infrastructure that connects databases, software, and repositories. A catalog of resources (databases, software, repositories) has been produced by the Research Coordination Network for Paleogeosciences to improve the discoverability of resources. The Catalog is currently made available within the larger-scope CINERGI geosciences portal (http://hydro10.sdsc.edu/geoportal/catalog/main/home.page). Other distribution points and web services are planned, using linked data, content services for the web, and XML descriptions that can be harvested using metadata protocols. The databases provide searchable interfaces to find data sets that would otherwise remain dark data, hidden in drawers and on personal computers. The software will be described in catalog entries so just one click will lead users to methods and analytical tools that many geoscientists were unaware of. The repositories listed in the Paleogeosciences Catalog contain physical samples found all across the globe, from natural history museums to the basements of university buildings. EarthCube has over 250 databases, 300 software systems, and 200 repositories which will grow in the coming year. When completed, geoscientists across the world will be connected into a productive workflow for managing, sharing, and exploring geoscience data and information that expedites collaboration and innovation within the paleogeosciences, potentially bringing about new interdisciplinary discoveries.

Scientific Visualization & Modeling for Earth Systems Science Education

NASA Technical Reports Server (NTRS)

Chaudhury, S. Raj; Rodriguez, Waldo J.

2003-01-01

Providing research experiences for undergraduate students in Earth Systems Science (ESS) poses several challenges at smaller academic institutions that might lack dedicated resources for this area of study. This paper describes the development of an innovative model that involves students with majors in diverse scientific disciplines in authentic ESS research. In studying global climate change, experts typically use scientific visualization techniques applied to remote sensing data collected by satellites. In particular, many problems related to environmental phenomena can be quantitatively addressed by investigations based on datasets related to the scientific endeavours such as the Earth Radiation Budget Experiment (ERBE). Working with data products stored at NASA's Distributed Active Archive Centers, visualization software specifically designed for students and an advanced, immersive Virtual Reality (VR) environment, students engage in guided research projects during a structured 6-week summer program. Over the 5-year span, this program has afforded the opportunity for students majoring in biology, chemistry, mathematics, computer science, physics, engineering and science education to work collaboratively in teams on research projects that emphasize the use of scientific visualization in studying the environment. Recently, a hands-on component has been added through science student partnerships with school-teachers in data collection and reporting for the GLOBE Program (GLobal Observations to Benefit the Environment).

Using Selection Pressure as an Asset to Develop Reusable, Adaptable Software Systems

NASA Astrophysics Data System (ADS)

Berrick, S. W.; Lynnes, C.

2007-12-01

The Goddard Earth Sciences Data and Information Services Center (GES DISC) at NASA has over the years developed and honed a number of reusable architectural components for supporting large-scale data centers with a large customer base. These include a processing system (S4PM) and an archive system (S4PA) based upon a workflow engine called the Simple, Scalable, Script-based Science Processor (S4P); an online data visualization and analysis system (Giovanni); and the radically simple and fast data search tool, Mirador. These subsystems are currently reused internally in a variety of combinations to implement customized data management on behalf of instrument science teams and other science investigators. Some of these subsystems (S4P and S4PM) have also been reused by other data centers for operational science processing. Our experience has been that development and utilization of robust, interoperable, and reusable software systems can actually flourish in environments defined by heterogeneous commodity hardware systems, the emphasis on value-added customer service, and continual cost reduction pressures. The repeated internal reuse that is fostered by such an environment encourages and even forces changes to the software that make it more reusable and adaptable. Allowing and even encouraging such selective pressures to software development has been a key factor in the success of S4P and S4PM, which are now available to the open source community under the NASA Open Source Agreement.

Modeling in the Classroom: An Evolving Learning Tool

NASA Astrophysics Data System (ADS)

Few, A. A.; Marlino, M. R.; Low, R.

2006-12-01

Among the early programs (early 1990s) focused on teaching Earth System Science were the Global Change Instruction Program (GCIP) funded by NSF through UCAR and the Earth System Science Education Program (ESSE) funded by NASA through USRA. These two programs introduced modeling as a learning tool from the beginning, and they provided workshops, demonstrations and lectures for their participating universities. These programs were aimed at university-level education. Recently, classroom modeling is experiencing a revival of interest. Drs John Snow and Arthur Few conducted two workshops on modeling at the ESSE21 meeting in Fairbanks, Alaska, in August 2005. The Digital Library for Earth System Education (DLESE) at http://www.dlese.org provides web access to STELLA models and tutorials, and UCAR's Education and Outreach (EO) program holds workshops that include training in modeling. An important innovation to the STELLA modeling software by isee systems, http://www.iseesystems.com, called "isee Player" is available as a free download. The Player allows users to view and run STELLA models, change model parameters, share models with colleagues and students, and make working models available on the web. This is important because the expert can create models, and the user can learn how the modeled system works. Another aspect of this innovation is that the educational benefits of modeling concepts can be extended throughout most of the curriculum. The procedure for building a working computer model of an Earth Science System follows this general format: (1) carefully define the question(s) for which you seek the answer(s); (2) identify the interacting system components and inputs contributing to the system's behavior; (3) collect the information and data that will be required to complete the conceptual model; (4) construct a system diagram (graphic) of the system that displays all of system's central questions, components, relationships and required inputs. At this stage in the process the conceptual model of the system is compete and a clear understanding of how the system works is achieved. When appropriate software is available the advanced classes can proceed to (5) creating a computer model of the system and testing the conceptual model. For classes lacking these advanced capabilities they may view and run models using the free isee Player and shared working models. In any event there is understanding to be gained in every step of the procedure outlined above. You can view some examples at http://www.ruf.rice.edu/~few/. We plan to populate this site with samples of Earth science systems for use in Earth system science education.

Earth Science Informatics Comes of Age

NASA Technical Reports Server (NTRS)

Jodha, Siri; Khalsa, S.; Ramachandran, Rahul

2014-01-01

The volume and complexity of Earth science data have steadily increased, placing ever-greater demands on researchers, software developers and data managers tasked with handling such data. Additional demands arise from requirements being levied by funding agencies and governments to better manage, preserve and provide open access to data. Fortunately, over the past 10-15 years significant advances in information technology, such as increased processing power, advanced programming languages, more sophisticated and practical standards, and near-ubiquitous internet access have made the jobs of those acquiring, processing, distributing and archiving data easier. These advances have also led to an increasing number of individuals entering the field of informatics as it applies to Geoscience and Remote Sensing. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of data, information, and knowledge. Informatics also encompasses the use of computers and computational methods to support decisionmaking and other applications for societal benefits.

Proceedings of the NSSDC Conference on Mass Storage Systems and Technologies for Space and Earth Science Applications

NASA Technical Reports Server (NTRS)

Blackwell, Kim; Blasso, Len (Editor); Lipscomb, Ann (Editor)

1991-01-01

The proceedings of the National Space Science Data Center Conference on Mass Storage Systems and Technologies for Space and Earth Science Applications held July 23 through 25, 1991 at the NASA/Goddard Space Flight Center are presented. The program includes a keynote address, invited technical papers, and selected technical presentations to provide a broad forum for the discussion of a number of important issues in the field of mass storage systems. Topics include magnetic disk and tape technologies, optical disk and tape, software storage and file management systems, and experiences with the use of a large, distributed storage system. The technical presentations describe integrated mass storage systems that are expected to be available commercially. Also included is a series of presentations from Federal Government organizations and research institutions covering their mass storage requirements for the 1990's.

ASDC Advances in the Utilization of Microservices and Hybrid Cloud Environments

NASA Astrophysics Data System (ADS)

Baskin, W. E.; Herbert, A.; Mazaika, A.; Walter, J.

2017-12-01

The Atmospheric Science Data Center (ASDC) is transitioning many of its software tools and applications to standalone microservices deployable in a hybrid cloud, offering benefits such as scalability and efficient environment management. This presentation features several projects the ASDC staff have implemented leveraging the OpenShift Container Application Platform and OpenStack Hybrid Cloud Environment focusing on key tools and techniques applied to: Earth Science data processing Spatial-Temporal metadata generation, validation, repair, and curation Archived Data discovery, visualization, and access

Building an Integrated Environment for Multimedia

NASA Technical Reports Server (NTRS)

1997-01-01

Multimedia courseware on the solar system and earth science suitable for use in elementary, middle, and high schools was developed under this grant. The courseware runs on Silicon Graphics, Incorporated (SGI) workstations and personal computers (PCs). There is also a version of the courseware accessible via the World Wide Web. Accompanying multimedia database systems were also developed to enhance the multimedia courseware. The database systems accompanying the PC software are based on the relational model, while the database systems accompanying the SGI software are based on the object-oriented model.

A Knowledge Portal and Collaboration Environment for the Earth Sciences

NASA Astrophysics Data System (ADS)

D'Agnese, F. A.

2008-12-01

Earth Knowledge is developing a web-based 'Knowledge Portal and Collaboration Environment' that will serve as the information-technology-based foundation of a modular Internet-based Earth-Systems Monitoring, Analysis, and Management Tool. This 'Knowledge Portal' is essentially a 'mash- up' of web-based and client-based tools and services that support on-line collaboration, community discussion, and broad public dissemination of earth and environmental science information in a wide-area distributed network. In contrast to specialized knowledge-management or geographic-information systems developed for long- term and incremental scientific analysis, this system will exploit familiar software tools using industry standard protocols, formats, and APIs to discover, process, fuse, and visualize existing environmental datasets using Google Earth and Google Maps. An early form of these tools and services is being used by Earth Knowledge to facilitate the investigations and conversations of scientists, resource managers, and citizen-stakeholders addressing water resource sustainability issues in the Great Basin region of the desert southwestern United States. These ongoing projects will serve as use cases for the further development of this information-technology infrastructure. This 'Knowledge Portal' will accelerate the deployment of Earth- system data and information into an operational knowledge management system that may be used by decision-makers concerned with stewardship of water resources in the American Desert Southwest.

Auscope: Australian Earth Science Information Infrastructure using Free and Open Source Software

NASA Astrophysics Data System (ADS)

Woodcock, R.; Cox, S. J.; Fraser, R.; Wyborn, L. A.

2013-12-01

Since 2005 the Australian Government has supported a series of initiatives providing researchers with access to major research facilities and information networks necessary for world-class research. Starting with the National Collaborative Research Infrastructure Strategy (NCRIS) the Australian earth science community established an integrated national geoscience infrastructure system called AuScope. AuScope is now in operation, providing a number of components to assist in understanding the structure and evolution of the Australian continent. These include the acquisition of subsurface imaging , earth composition and age analysis, a virtual drill core library, geological process simulation, and a high resolution geospatial reference framework. To draw together information from across the earth science community in academia, industry and government, AuScope includes a nationally distributed information infrastructure. Free and Open Source Software (FOSS) has been a significant enabler in building the AuScope community and providing a range of interoperable services for accessing data and scientific software. A number of FOSS components have been created, adopted or upgraded to create a coherent, OGC compliant Spatial Information Services Stack (SISS). SISS is now deployed at all Australian Geological Surveys, many Universities and the CSIRO. Comprising a set of OGC catalogue and data services, and augmented with new vocabulary and identifier services, the SISS provides a comprehensive package for organisations to contribute their data to the AuScope network. This packaging and a variety of software testing and documentation activities enabled greater trust and notably reduced barriers to adoption. FOSS selection was important, not only for technical capability and robustness, but also for appropriate licensing and community models to ensure sustainability of the infrastructure in the long term. Government agencies were sensitive to these issues and AuScope's careful selection has been rewarded by adoption. In some cases the features provided by the SISS solution are now significantly in advance of COTS offerings which will create expectations that can be passed back from users to their preferred vendors. Using FOSS, AuScope has addressed the challenge of data exchange across organisations nationally. The data standards (e.g. GeosciML) and platforms that underpin AuScope provide important new datasets and multi-agency links independent of underlying software and hardware differences. AuScope has created an infrastructure, a platform of technologies and the opportunity for new ways of working with and integrating disparate data at much lower cost. Research activities are now exploiting the information infrastructure to create virtual laboratories for research ranging from geophysics through water and the environment. Once again the AuScope community is making heavy use of FOSS to provide access to processing software and Cloud computing and HPC. The successful use of FOSS by AuScope, and the efforts made to ensure it is suitable for adoption, have resulted in the SISS being selected as a reference implementation for a number of Australian Government initiatives beyond AuScope in environmental information and bioregional assessments.

TerraFERMA: The Transparent Finite Element Rapid Model Assembler for multiphysics problems in Earth sciences

NASA Astrophysics Data System (ADS)

Wilson, Cian R.; Spiegelman, Marc; van Keken, Peter E.

2017-02-01

We introduce and describe a new software infrastructure TerraFERMA, the Transparent Finite Element Rapid Model Assembler, for the rapid and reproducible description and solution of coupled multiphysics problems. The design of TerraFERMA is driven by two computational needs in Earth sciences. The first is the need for increased flexibility in both problem description and solution strategies for coupled problems where small changes in model assumptions can lead to dramatic changes in physical behavior. The second is the need for software and models that are more transparent so that results can be verified, reproduced, and modified in a manner such that the best ideas in computation and Earth science can be more easily shared and reused. TerraFERMA leverages three advanced open-source libraries for scientific computation that provide high-level problem description (FEniCS), composable solvers for coupled multiphysics problems (PETSc), and an options handling system (SPuD) that allows the hierarchical management of all model options. TerraFERMA integrates these libraries into an interface that organizes the scientific and computational choices required in a model into a single options file from which a custom compiled application is generated and run. Because all models share the same infrastructure, models become more reusable and reproducible, while still permitting the individual researcher considerable latitude in model construction. TerraFERMA solves partial differential equations using the finite element method. It is particularly well suited for nonlinear problems with complex coupling between components. TerraFERMA is open-source and available at http://terraferma.github.io, which includes links to documentation and example input files.

Software - Naval Oceanography Portal

Science.gov Websites

section Advanced Search... Sections Home Time Earth Orientation Astronomy Meteorology Oceanography Ice You are here: Home › USNO › Earth Orientation › Software USNO Logo USNO Navigation Earth Orientation Search databases Auxiliary Software Supporting Software Form Folder Earth Orientation Matrix Calculator

The SCIDIP-ES project - towards an international collaboration strategy for long term preservation of earth science data

NASA Astrophysics Data System (ADS)

Riddick, Andrew; Glaves, Helen; Marelli, Fulvio; Albani, Mirko; Tona, Calogera; Marketakis, Yannis; Tzitzikas, Yannis; Guarino, Raffaele; Giaretta, David; Di Giammatteo, Ugo

2013-04-01

The capability for long term preservation of earth science data is a key requirement to support on-going research and collaboration within and between many earth science disciplines. A number of critically important current research directions (e.g. understanding climate change, and ensuring sustainability of natural resources) rely on the preservation of data often collected over several decades in a form in which it can be accessed and used easily. Another key driver for strategic long term data preservation is that key research challenges (such as those described above) frequently require cross disciplinary research utilising raw and interpreted data from a number of earth science disciplines. Effective data preservation strategies can support this requirement for interoperability and collaboration, and thereby stimulate scientific innovation. The SCIDIP-ES project (EC FP7 grant agreement no. 283401) seeks to address these and other data preservation challenges by developing a Europe wide infrastructure for long term data preservation comprising appropriate software tools and infrastructure services to enable and promote long term preservation of earth science data. Because we define preservation in terms of continued usability of the digitally encoded information, the generic infrastructure services will allow a wide variety of data to be made usable by researchers from many different domains. This approach promotes international collaboration between researchers and will enable the cost for long-term usability across disciplines to be shared supporting the creation of strong business cases for the long term support of that data. This paper will describe our progress to date, including the results of community engagement and user consultation exercises designed to specify and scope the required tools and services. Our user engagement methodology, ensuring that we are capturing the views of a representative sample of institutional users, will be described. Key results of an in-depth user requirements exercise, and also the conclusions from a survey of existing technologies and policies for earth science data preservation involving almost five hundred respondents across Europe and beyond will also be outlined. A key aim of the project will also be to create harmonised data preservation and access policies for earth science data in Europe, taking into account the requirements of relevant earth science data users and archive providers across Europe, and liaising appropriately with other European data integration and e-infrastructure projects to ensure a collaborative strategy.

Research and technology, 1988

NASA Technical Reports Server (NTRS)

1988-01-01

Flight projects and mission definition studies for 1988 are briefly described. Technology research is presented in the following areas: sensors and space technology; space communication systems; system and software engineering; user space data systems; and techniques. Studies are presented for the following space and Earth science areas: atmospheres, SN 1987A, astronomy, high energy astrophysics, land and climate, solar systems, and oceans.

SCIDIP-ES - A science data e-infrastructure for preservation of earth science data

NASA Astrophysics Data System (ADS)

Riddick, Andrew; Glaves, Helen; Marelli, Fulvio; Albani, Mirko; Tona, Calogera; Marketakis, Yannis; Tzitzikas, Yannis; Guarino, Raffaele; Giaretta, David; Di Giammatteo, Ugo

2013-04-01

The capability for long term preservation of earth science data is a key requirement to support on-going research and collaboration within and between many earth science disciplines. A number of critically important current research directions (e.g. understanding climate change, and ensuring sustainability of natural resources) rely on the preservation of data often collected over several decades in a form in which it can be accessed and used easily. In many branches of the earth sciences the capture of key observational data may be difficult or impossible to repeat. For example, a specific geological exposure or subsurface borehole may be only temporarily available, and deriving earth observation data from a particular satellite mission is clearly often a unique opportunity. At the same time such unrepeatable observations may be a critical input to environmental, economic and political decision making. Another key driver for strategic long term data preservation is that key research challenges (such as those described above) frequently require cross disciplinary research utilising raw and interpreted data from a number of earth science disciplines. Effective data preservation strategies can support this requirement for interoperability, and thereby stimulate scientific innovation. The SCIDIP-ES project (EC FP7 grant agreement no. 283401) seeks to address these and other data preservation challenges by developing a Europe wide e-infrastructure for long term data preservation comprising appropriate software tools and infrastructure services to enable and promote long term preservation of earth science data. Because we define preservation in terms of continued usability of the digitally encoded information, the generic infrastructure services will allow a wide variety of data to be made usable by researchers from many different domains. This approach will enable the cost for long-term usability across disciplines to be shared supporting the creation of strong business cases for the long term support of that data. This paper will describe our progress to date, including the results of community engagement and user consultation exercises designed to specify and scope the required tools and services. Our user engagement methodology, ensuring that we are capturing the views of a representative sample of institutional users, will be described. Key results of an in-depth user requirements exercise, and also the conclusions from a survey of existing technologies and policies for earth science data preservation involving almost five hundred respondents across Europe and beyond will also be outlined. A key aim of the project will also be to create harmonised data preservation and access policies for earth science data in Europe, taking into account the requirements of relevant earth science data users and archive providers across Europe, liaising appropriately with other European e-infrastructure projects, and progress on this will be explained.

Image Transformations-Montserrat

NASA Technical Reports Server (NTRS)

2002-01-01

A slightly oblique digital photograph of Montserrat taken from the International Space Station was posted to Earth Observatory in December 2001. An Earth Observatory reader used widely available software to correct the oblique perspective and adjust the color. The story of how he modified the image includes step-by-step instructions that can be applied to other photographs. Photographs of Earth taken by astronauts have shaped our view of the Earth and are part of our popular culture because NASA makes them easily accessible to the public. Read the Transformations Story for more information. The original image was digital photograph number ISS002-E-9309, taken on July 9, 2001, from the International Space Station and was provided by the Earth Sciences and Image Analysis Laboratory at Johnson Space Center. Additional images taken by astronauts and cosmonauts can be viewed at the NASA-JSC Gateway to Astronaut Photography of Earth. Bill Innanen provided the transformed image and the story of how he did it.

The National Science Foundation CAREER Award: A Unique Solution to the Challenges of the Tenure Process

NASA Astrophysics Data System (ADS)

Fouch, M. J.

2011-12-01

There is a dichotomy inherent in the tenure process at most research-strong universities. Most institutions require strong performance in research production and grant acquisition, while at the same time very good to excellent teaching performance. However, in the first several years of the tenure process, many new faculty spend most of their time preparing lectures for new classes and writing grant proposals, leaving little time to forge new directions and define their individual paths in their research, which, somewhat ironically, is the primary factor by which tenure is either granted or denied. The CAREER grant is a unique solution to this problem, as it enables beginning faculty members to directly thread their research into their teaching, and vice versa. My CAREER award, the first granted by the (at the time) fledgling EarthScope Science program at NSF, enabled me to bring EarthScope data and science directly into the classroom. One cadre of efforts was a focus on software development, which is a critical roadblock in geophysics for students who do not have extensive experience with Unix-based coding. For example, Kevin Eagar developed the MATLAB-based FuncLab software system that enables one to quickly and efficiently analyze receiver functions, allowing one to image layers within Earth's interior, such as the crust-mantle boundary. This system is now publically available at http://geophysics.asu.edu/funclab. At Arizona State University, 5 undergraduate students and 2 graduate students have already used this software package to produce publishable scientific results over the past 2 years, enabling them to experience research firsthand and learn a range of key research skills for their future endeavors. The CAREER award also provided ample opportunities for my research group and me to forge into new research directions given the broad scope of the proposed work. Ultimately, this freedom has led to a number of new and exciting results regarding the nature of deformation in Earth's crust, Earth's response to moderate sized earthquakes occurring hundreds of kilometers away, and further new software development to handle these new, massive, datasets provided by the EarthScope program. The culmination of these efforts allowed me a much smoother path toward tenure, given that the CAREER grant enabled new directions and production through integration of my teaching and research (as well as my national service to the EarthScope program). The challenges to this integration were quite modest given that I was able to fold my group's research directly into some of my teaching. Finally, while the program is very good at present, I will present a few ideas for program improvement. For example, it is essential that NSF continue to fully inform and educate peer reviewers of the special nature of CAREER awards, since it is a major challenge for most reviewers to fully and adequately judge both research and teaching. Further, because of the unique nature of the CAREER proposal, NSF might consider extending the length of the proposal by 2-3 pages to provide additional room for extended project timelines, etc.

Talkoot Portals: Discover, Tag, Share, and Reuse Collaborative Science Workflows (Invited)

NASA Astrophysics Data System (ADS)

Wilson, B. D.; Ramachandran, R.; Lynnes, C.

2009-12-01

A small but growing number of scientists are beginning to harness Web 2.0 technologies, such as wikis, blogs, and social tagging, as a transformative way of doing science. These technologies provide researchers easy mechanisms to critique, suggest and share ideas, data and algorithms. At the same time, large suites of algorithms for science analysis are being made available as remotely-invokable Web Services, which can be chained together to create analysis workflows. This provides the research community an unprecedented opportunity to collaborate by sharing their workflows with one another, reproducing and analyzing research results, and leveraging colleagues’ expertise to expedite the process of scientific discovery. However, wikis and similar technologies are limited to text, static images and hyperlinks, providing little support for collaborative data analysis. A team of information technology and Earth science researchers from multiple institutions have come together to improve community collaboration in science analysis by developing a customizable “software appliance” to build collaborative portals for Earth Science services and analysis workflows. The critical requirement is that researchers (not just information technologists) be able to build collaborative sites around service workflows within a few hours. We envision online communities coming together, much like Finnish “talkoot” (a barn raising), to build a shared research space. Talkoot extends a freely available, open source content management framework with a series of modules specific to Earth Science for registering, creating, managing, discovering, tagging and sharing Earth Science web services and workflows for science data processing, analysis and visualization. Users will be able to author a “science story” in shareable web notebooks, including plots or animations, backed up by an executable workflow that directly reproduces the science analysis. New services and workflows of interest will be discoverable using tag search, and advertised using “service casts” and “interest casts” (Atom feeds). Multiple science workflow systems will be plugged into the system, with initial support for UAH’s Mining Workflow Composer and the open-source Active BPEL engine, and JPL’s SciFlo engine and the VizFlow visual programming interface. With the ability to share and execute analysis workflows, Talkoot portals can be used to do collaborative science in addition to communicate ideas and results. It will be useful for different science domains, mission teams, research projects and organizations. Thus, it will help to solve the “sociological” problem of bringing together disparate groups of researchers, and the technical problem of advertising, discovering, developing, documenting, and maintaining inter-agency science workflows. The presentation will discuss the goals of and barriers to Science 2.0, the social web technologies employed in the Talkoot software appliance (e.g. CMS, social tagging, personal presence, advertising by feeds, etc.), illustrate the resulting collaborative capabilities, and show early prototypes of the web interfaces (e.g. embedded workflows).

Cloud-Based Computational Tools for Earth Science Applications

NASA Astrophysics Data System (ADS)

Arendt, A. A.; Fatland, R.; Howe, B.

2015-12-01

Earth scientists are increasingly required to think across disciplines and utilize a wide range of datasets in order to solve complex environmental challenges. Although significant progress has been made in distributing data, researchers must still invest heavily in developing computational tools to accommodate their specific domain. Here we document our development of lightweight computational data systems aimed at enabling rapid data distribution, analytics and problem solving tools for Earth science applications. Our goal is for these systems to be easily deployable, scalable and flexible to accommodate new research directions. As an example we describe "Ice2Ocean", a software system aimed at predicting runoff from snow and ice in the Gulf of Alaska region. Our backend components include relational database software to handle tabular and vector datasets, Python tools (NumPy, pandas and xray) for rapid querying of gridded climate data, and an energy and mass balance hydrological simulation model (SnowModel). These components are hosted in a cloud environment for direct access across research teams, and can also be accessed via API web services using a REST interface. This API is a vital component of our system architecture, as it enables quick integration of our analytical tools across disciplines, and can be accessed by any existing data distribution centers. We will showcase several data integration and visualization examples to illustrate how our system has expanded our ability to conduct cross-disciplinary research.

2014 Earth System Grid Federation and Ultrascale Visualization Climate Data Analysis Tools Conference Report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Williams, Dean N.

2015-01-27

The climate and weather data science community met December 9–11, 2014, in Livermore, California, for the fourth annual Earth System Grid Federation (ESGF) and Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Face-to-Face (F2F) Conference, hosted by the Department of Energy, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, the European Infrastructure for the European Network of Earth System Modelling, and the Australian Department of Education. Both ESGF and UVCDATremain global collaborations committed to developing a new generation of open-source software infrastructure that provides distributed access and analysis to simulated and observed data from the climate and weather communities.more » The tools and infrastructure created under these international multi-agency collaborations are critical to understanding extreme weather conditions and long-term climate change. In addition, the F2F conference fosters a stronger climate and weather data science community and facilitates a stronger federated software infrastructure. The 2014 F2F conference detailed the progress of ESGF, UV-CDAT, and other community efforts over the year and sets new priorities and requirements for existing and impending national and international community projects, such as the Coupled Model Intercomparison Project Phase Six. Specifically discussed at the conference were project capabilities and enhancements needs for data distribution, analysis, visualization, hardware and network infrastructure, standards, and resources.« less

Development of an expert system prototype for determining software functional requirements for command management activities at NASA Goddard

NASA Technical Reports Server (NTRS)

Liebowitz, J.

1985-01-01

The development of an expert system prototype for determining software functional requirements for NASA Goddard's Command Management System (CMS) is described. The role of the CMS is to transform general requests into specific spacecraft commands with command execution conditions. The CMS is part of the NASA Data System which entails the downlink of science and engineering data from NASA near-earth satellites to the user, and the uplink of command and control data to the spacecraft. Subjects covered include: the problem environment of determining CMS software functional requirements; the expert system approach for handling CMS requirements development; validation and evaluation procedures for the expert system.

The Earth System CoG Collaboration Environment

NASA Astrophysics Data System (ADS)

DeLuca, C.; Murphy, S.; Cinquini, L.; Treshansky, A.; Wallis, J. C.; Rood, R. B.; Overeem, I.

2013-12-01

The Earth System CoG supports collaborative Earth science research and product development in virtual organizations that span multiple projects and communities. It provides access to data, metadata, and visualization services along with tools that support open project governance, and it can be used to host individual projects or to profile projects hosted elsewhere. All projects on CoG are described using a project ontology - an organized common vocabulary - that exposes information needed for collaboration and decision-making. Projects can be linked into a network, and the underlying ontology enables consolidated views of information across the network. This access to information promotes the creation of active and knowledgeable project governance, at both individual and aggregate project levels. CoG is being used to support software development projects, model intercomparison projects, training classes, and scientific programs. Its services and ontology are customizable by project. This presentation will provide an overview of CoG, review examples of current use, and discuss how CoG can be used as knowledge and coordination hub for networks of projects in the Earth Sciences.

NSSDC Conference on Mass Storage Systems and Technologies for Space and Earth Science Applications, volume 2

NASA Technical Reports Server (NTRS)

Kobler, Ben (Editor); Hariharan, P. C. (Editor); Blasso, L. G. (Editor)

1992-01-01

This report contains copies of nearly all of the technical papers and viewgraphs presented at the NSSDC Conference on Mass Storage Systems and Technologies for Space and Earth Science Application. This conference served as a broad forum for the discussion of a number of important issues in the field of mass storage systems. Topics include the following: magnetic disk and tape technologies; optical disk and tape; software storage and file management systems; and experiences with the use of a large, distributed storage system. The technical presentations describe, among other things, integrated mass storage systems that are expected to be available commercially. Also included is a series of presentations from Federal Government organizations and research institutions covering their mass storage requirements for the 1990's.

Geoinformatics 2007: data to knowledge

USGS Publications Warehouse

Brady, Shailaja R.; Sinha, A. Krishna; Gundersen, Linda C.

2007-01-01

Geoinformatics is the term used to describe a variety of efforts to promote collaboration between the computer sciences and the geosciences to solve complex scientific questions. It refers to the distributed, integrated digital information system and working environment that provides innovative means for the study of the Earth systems, as well as other planets, through use of advanced information technologies. Geoinformatics activities range from major research and development efforts creating new technologies to provide high-quality, sustained production-level services for data discovery, integration and analysis, to small, discipline-specific efforts that develop earth science data collections and data analysis tools serving the needs of individual communities. The ultimate vision of Geoinformatics is a highly interconnected data system populated with high quality, freely available data, as well as, a robust set of software for analysis, visualization, and modeling.

Climate Literacy: STEM and Climate Change Education and Remote Sensing Applications

NASA Astrophysics Data System (ADS)

Reddy, S. R.

2015-12-01

NASA Innovations in Climate Education (NICE) is a competitive project to promote climate and Earth system science literacy and seeks to increase the access of underrepresented minority groups to science careers and educational opportunities. A three year funding was received from NASA to partnership with JSU and MSU under cooperative agreement "Strengthening Global Climate Change education through Remote Sensing Application in Coastal Environment using NASA Satellite Data and Models". The goal is to increase the number of highschool and undergraduate students at Jackson State University, a Historically Black University, who are prepared to pursue higher academic degrees and careers in STEM fields. A five Saturday course/workshop was held during March/April 2015 at JSU, focusing on historical and technical concepts of math, enginneering, technology and atmosphere and climate change and remote sensing technology and applications to weather and climate. Nine students from meteorology, biology, industrial technology and computer science/engineering of JSU and 19 high scool students from Jackson Public Schools participated in the course/workshop. The lecture topics include: introduction to remote sensing and GIS, introduction to atmospheric science, math and engineering, climate, introduction to NASA innovations in climate education, introduction to remote sensing technology for bio-geosphere, introduction to earth system science, principles of paleoclimatology and global change, daily weather briefing, satellite image interpretation and so on. In addition to lectures, lab sessions were held for hand-on experiences for remote sensing applications to atmosphere, biosphere, earth system science and climate change using ERDAS/ENVI GIS software and satellite tools. Field trip to Barnett reservoir and National weather Service (NWS) was part of the workshop. Basics of Earth System Science is a non-mathematical introductory course designed for high school seniors, high school teachers and undergraduate students who may or may not have adequate exposure to fundamental concepts of the key components of the modern earth system and their interactions. This is an online course that will be delivered using Blackboard platform available at Jackson State University.

Publishing Platform for Scientific Software - Lessons Learned

NASA Astrophysics Data System (ADS)

Hammitzsch, Martin; Fritzsch, Bernadette; Reusser, Dominik; Brembs, Björn; Deinzer, Gernot; Loewe, Peter; Fenner, Martin; van Edig, Xenia; Bertelmann, Roland; Pampel, Heinz; Klump, Jens; Wächter, Joachim

2015-04-01

Scientific software has become an indispensable commodity for the production, processing and analysis of empirical data but also for modelling and simulation of complex processes. Software has a significant influence on the quality of research results. For strengthening the recognition of the academic performance of scientific software development, for increasing its visibility and for promoting the reproducibility of research results, concepts for the publication of scientific software have to be developed, tested, evaluated, and then transferred into operations. For this, the publication and citability of scientific software have to fulfil scientific criteria by means of defined processes and the use of persistent identifiers, similar to data publications. The SciForge project is addressing these challenges. Based on interviews a blueprint for a scientific software publishing platform and a systematic implementation plan has been designed. In addition, the potential of journals, software repositories and persistent identifiers have been evaluated to improve the publication and dissemination of reusable software solutions. It is important that procedures for publishing software as well as methods and tools for software engineering are reflected in the architecture of the platform, in order to improve the quality of the software and the results of research. In addition, it is necessary to work continuously on improving specific conditions that promote the adoption and sustainable utilization of scientific software publications. Among others, this would include policies for the development and publication of scientific software in the institutions but also policies for establishing the necessary competencies and skills of scientists and IT personnel. To implement the concepts developed in SciForge a combined bottom-up / top-down approach is considered that will be implemented in parallel in different scientific domains, e.g. in earth sciences, climate research and the life sciences. Based on the developed blueprints a scientific software publishing platform will be iteratively implemented, tested, and evaluated. Thus the platform should be developed continuously on the basis of gained experiences and results. The platform services will be extended one by one corresponding to the requirements of the communities. Thus the implemented platform for the publication of scientific software can be improved and stabilized incrementally as a tool with software, science, publishing, and user oriented features.

GeoFramework: A Modeling Framework for Solid Earth Geophysics

NASA Astrophysics Data System (ADS)

Gurnis, M.; Aivazis, M.; Tromp, J.; Tan, E.; Thoutireddy, P.; Liu, Q.; Choi, E.; Dicaprio, C.; Chen, M.; Simons, M.; Quenette, S.; Appelbe, B.; Aagaard, B.; Williams, C.; Lavier, L.; Moresi, L.; Law, H.

2003-12-01

As data sets in geophysics become larger and of greater relevance to other earth science disciplines, and as earth science becomes more interdisciplinary in general, modeling tools are being driven in new directions. There is now a greater need to link modeling codes to one another, link modeling codes to multiple datasets, and to make modeling software available to non modeling specialists. Coupled with rapid progress in computer hardware (including the computational speed afforded by massively parallel computers), progress in numerical algorithms, and the introduction of software frameworks, these lofty goals of merging software in geophysics are now possible. The GeoFramework project, a collaboration between computer scientists and geoscientists, is a response to these needs and opportunities. GeoFramework is based on and extends Pyre, a Python-based modeling framework, recently developed to link solid (Lagrangian) and fluid (Eulerian) models, as well as mesh generators, visualization packages, and databases, with one another for engineering applications. The utility and generality of Pyre as a general purpose framework in science is now being recognized. Besides its use in engineering and geophysics, it is also being used in particle physics and astronomy. Geology and geophysics impose their own unique requirements on software frameworks which are not generally available in existing frameworks and so there is a need for research in this area. One of the special requirements is the way Lagrangian and Eulerian codes will need to be linked in time and space within a plate tectonics context. GeoFramework has grown beyond its initial goal of linking a limited number of exiting codes together. The following codes are now being reengineered within the context of Pyre: Tecton, 3-D FE Visco-elastic code for lithospheric relaxation; CitComS, a code for spherical mantle convection; SpecFEM3D, a SEM code for global and regional seismic waves; eqsim, a FE code for dynamic earthquake rupture; SNAC, a developing 3-D coded based on the FLAC method for visco-elastoplastic deformation; SNARK, a 3-D FE-PIC method for viscoplastic deformation; and gPLATES an open source paleogeographic/plate tectonics modeling package. We will demonstrate how codes can be linked with themselves, such as a regional and global model of mantle convection and a visco-elastoplastic representation of the crust within viscous mantle flow. Finally, we will describe how http://GeoFramework.org has become a distribution site for a suite of modeling software in geophysics.

Distributed Space Mission Design for Earth Observation Using Model-Based Performance Evaluation

NASA Technical Reports Server (NTRS)

Nag, Sreeja; LeMoigne-Stewart, Jacqueline; Cervantes, Ben; DeWeck, Oliver

2015-01-01

Distributed Space Missions (DSMs) are gaining momentum in their application to earth observation missions owing to their unique ability to increase observation sampling in multiple dimensions. DSM design is a complex problem with many design variables, multiple objectives determining performance and cost and emergent, often unexpected, behaviors. There are very few open-access tools available to explore the tradespace of variables, minimize cost and maximize performance for pre-defined science goals, and therefore select the most optimal design. This paper presents a software tool that can multiple DSM architectures based on pre-defined design variable ranges and size those architectures in terms of predefined science and cost metrics. The tool will help a user select Pareto optimal DSM designs based on design of experiments techniques. The tool will be applied to some earth observation examples to demonstrate its applicability in making some key decisions between different performance metrics and cost metrics early in the design lifecycle.

An OpenEarth Framework (OEF) for Integrating and Visualizing Earth Science Data

NASA Astrophysics Data System (ADS)

Moreland, J. L.; Nadeau, D. R.; Baru, C.; Crosby, C. J.

2009-12-01

The integration of data is essential to make transformative progress in understanding the complex processes operating at the Earth’s surface and within its interior. While our current ability to collect massive amounts of data, develop structural models, and generate high-resolution dynamics models is well developed, our ability to quantitatively integrate these data and models into holistic interpretations of Earth systems is poorly developed. We lack the basic tools to realize a first-order goal in Earth science of developing integrated 4D models of Earth structure and processes using a complete range of available constraints, at a time when the research agenda of major efforts such as EarthScope demand such a capability. Among the challenges to 3D data integration are data that may be in different coordinate spaces, units, value ranges, file formats, and data structures. While several file format standards exist, they are infrequently or incorrectly used. Metadata is often missing, misleading, or relegated to README text files along side the data. This leaves much of the work to integrate data bogged down by simple data management tasks. The OpenEarth Framework (OEF) being developed by GEON addresses these data management difficulties. The software incorporates file format parsers, data interpretation heuristics, user interfaces to prompt for missing information, and visualization techniques to merge data into a common visual model. The OEF’s data access libraries parse formal and de facto standard file formats and map their data into a common data model. The software handles file format quirks, storage details, caching, local and remote file access, and web service protocol handling. Heuristics are used to determine coordinate spaces, units, and other key data features. Where multiple data structure, naming, and file organization conventions exist, those heuristics check for each convention’s use to find a high confidence interpretation of the data. When no convention or embedded data yields a suitable answer, the user is prompted to fill in the blanks. The OEF’s interaction libraries assist in the construction of user interfaces for data management. These libraries support data import, data prompting, data introspection, the management of the contents of a common data model, and the creation of derived data to support visualization. Finally, visualization libraries provide interactive visualization using an extended version of NASA WorldWind. The OEF viewer supports visualization of terrains, point clouds, 3D volumes, imagery, cutting planes, isosurfaces, and more. Data may be color coded, shaded, and displayed above, or below the terrain, and always registered into a common coordinate space. The OEF architecture is open and cross-platform software libraries are available separately for use with other software projects, while modules from other projects may be integrated into the OEF to extend its features. The OEF is currently being used to visualize data from EarthScope-related research in the Western US.

Science Gateways, Scientific Workflows and Open Community Software

NASA Astrophysics Data System (ADS)

Pierce, M. E.; Marru, S.

2014-12-01

Science gateways and scientific workflows occupy different ends of the spectrum of user-focused cyberinfrastructure. Gateways, sometimes called science portals, provide a way for enabling large numbers of users to take advantage of advanced computing resources (supercomputers, advanced storage systems, science clouds) by providing Web and desktop interfaces and supporting services. Scientific workflows, at the other end of the spectrum, support advanced usage of cyberinfrastructure that enable "power users" to undertake computational experiments that are not easily done through the usual mechanisms (managing simulations across multiple sites, for example). Despite these different target communities, gateways and workflows share many similarities and can potentially be accommodated by the same software system. For example, pipelines to process InSAR imagery sets or to datamine GPS time series data are workflows. The results and the ability to make downstream products may be made available through a gateway, and power users may want to provide their own custom pipelines. In this abstract, we discuss our efforts to build an open source software system, Apache Airavata, that can accommodate both gateway and workflow use cases. Our approach is general, and we have applied the software to problems in a number of scientific domains. In this talk, we discuss our applications to usage scenarios specific to earth science, focusing on earthquake physics examples drawn from the QuakSim.org and GeoGateway.org efforts. We also examine the role of the Apache Software Foundation's open community model as a way to build up common commmunity codes that do not depend upon a single "owner" to sustain. Pushing beyond open source software, we also see the need to provide gateways and workflow systems as cloud services. These services centralize operations, provide well-defined programming interfaces, scale elastically, and have global-scale fault tolerance. We discuss our work providing Apache Airavata as a hosted service to provide these features.

GeoSciGraph: An Ontological Framework for EarthCube Semantic Infrastructure

NASA Astrophysics Data System (ADS)

Gupta, A.; Schachne, A.; Condit, C.; Valentine, D.; Richard, S.; Zaslavsky, I.

2015-12-01

The CINERGI (Community Inventory of EarthCube Resources for Geosciences Interoperability) project compiles an inventory of a wide variety of earth science resources including documents, catalogs, vocabularies, data models, data services, process models, information repositories, domain-specific ontologies etc. developed by research groups and data practitioners. We have developed a multidisciplinary semantic framework called GeoSciGraph semantic ingration of earth science resources. An integrated ontology is constructed with Basic Formal Ontology (BFO) as its upper ontology and currently ingests multiple component ontologies including the SWEET ontology, GeoSciML's lithology ontology, Tematres controlled vocabulary server, GeoNames, GCMD vocabularies on equipment, platforms and institutions, software ontology, CUAHSI hydrology vocabulary, the environmental ontology (ENVO) and several more. These ontologies are connected through bridging axioms; GeoSciGraph identifies lexically close terms and creates equivalence class or subclass relationships between them after human verification. GeoSciGraph allows a community to create community-specific customizations of the integrated ontology. GeoSciGraph uses the Neo4J,a graph database that can hold several billion concepts and relationships. GeoSciGraph provides a number of REST services that can be called by other software modules like the CINERGI information augmentation pipeline. 1) Vocabulary services are used to find exact and approximate terms, term categories (community-provided clusters of terms e.g., measurement-related terms or environmental material related terms), synonyms, term definitions and annotations. 2) Lexical services are used for text parsing to find entities, which can then be included into the ontology by a domain expert. 3) Graph services provide the ability to perform traversal centric operations e.g., finding paths and neighborhoods which can be used to perform ontological operations like computing transitive closure (e.g., finding all subclasses of rocks). 4) Annotation services are used to adorn an arbitrary block of text (e.g., from a NOAA catalog record) with ontology terms. The system has been used to ontologically integrate diverse sources like Science-base, NOAA records, PETDB.

Plotting and Analyzing Data Trends in Ternary Diagrams Made Easy

NASA Astrophysics Data System (ADS)

John, Cédric M.

2004-04-01

Ternary plots are used in many fields of science to characterize a system based on three components. Triangular plotting is thus useful to a broad audience in the Earth sciences and beyond. Unfortunately, it is typically the most expensive commercial software packages that offer the option to plot data in ternary diagrams, and they lack features that are paramount to the geosciences, such as the ability to plot data directly into a standardized diagram and the possibility to analyze temporal and stratigraphic trends within this diagram. To address these issues, δPlot was developed with a strong emphasis on ease of use, community orientation, and availability free of charges. This ``freeware'' supports a fully graphical user interface where data can be imported as text files, or by copying and pasting. A plot is automatically generated, and any standard diagram can be selected for plotting in the background using a simple pull-down menu. Standard diagrams are stored in an external database of PDF files that currently holds some 30 diagrams that deal with different fields of the Earth sciences. Using any drawing software supporting PDF, one can easily produce new standard diagrams to be used with δPlot by simply adding them to the library folder. An independent column of values, commonly stratigraphic depths or ages, can be used to sort the data sets.

Landsat surface reflectance quality assurance extraction (version 1.7)

USGS Publications Warehouse

Jones, J.W.; Starbuck, M.J.; Jenkerson, Calli B.

2013-01-01

The U.S. Geological Survey (USGS) Land Remote Sensing Program is developing an operational capability to produce Climate Data Records (CDRs) and Essential Climate Variables (ECVs) from the Landsat Archive to support a wide variety of science and resource management activities from regional to global scale. The USGS Earth Resources Observation and Science (EROS) Center is charged with prototyping systems and software to generate these high-level data products. Various USGS Geographic Science Centers are charged with particular ECV algorithm development and (or) selection as well as the evaluation and application demonstration of various USGS CDRs and ECVs. Because it is a foundation for many other ECVs, the first CDR in development is the Landsat Surface Reflectance Product (LSRP). The LSRP incorporates data quality information in a bit-packed structure that is not readily accessible without postprocessing services performed by the user. This document describes two general methods of LSRP quality-data extraction for use in image processing systems. Helpful hints for the installation and use of software originally developed for manipulation of Hierarchical Data Format (HDF) produced through the National Aeronautics and Space Administration (NASA) Earth Observing System are first provided for users who wish to extract quality data into separate HDF files. Next, steps follow to incorporate these extracted data into an image processing system. Finally, an alternative example is illustrated in which the data are extracted within a particular image processing system.

The European Plate Observing System (EPOS) Services for Solid Earth Science

NASA Astrophysics Data System (ADS)

Cocco, Massimo; Atakan, Kuvvet; Pedersen, Helle; Consortium, Epos

2016-04-01

The European Plate Observing System (EPOS) aims to create a pan-European infrastructure for solid Earth science to support a safe and sustainable society. The main vision of the European Plate Observing System (EPOS) is to address the three basic challenges in Earth Sciences: (i) unravelling the Earth's deformational processes which are part of the Earth system evolution in time, (ii) understanding the geo-hazards and their implications to society, and (iii) contributing to the safe and sustainable use of geo-resources. The mission of EPOS is to monitor and understand the dynamic and complex Earth system by relying on new e-science opportunities and integrating diverse and advanced Research Infrastructures in Europe for solid Earth Science. EPOS will enable innovative multidisciplinary research for a better understanding of the Earth's physical and chemical processes that control earthquakes, volcanic eruptions, ground instability and tsunami as well as the processes driving tectonics and Earth's surface dynamics. EPOS will improve our ability to better manage the use of the subsurface of the Earth. Through integration of data, models and facilities EPOS will allow the Earth Science community to make a step change in developing new concepts and tools for key answers to scientific and socio-economic questions concerning geo-hazards and geo-resources as well as Earth sciences applications to the environment and to human welfare. EPOS has now started its Implementation Phase (EPOS-IP). One of the main challenges during the implementation phase is the integration of multidisciplinary data into a single e-infrastructure. Multidisciplinary data are organized and governed by the Thematic Core Services (TCS) and are driven by various scientific communities encompassing a wide spectrum of Earth science disciplines. These include Data, Data-products, Services and Software (DDSS), from seismology, near fault observatories, geodetic observations, volcano observations, satellite observations, geomagnetic observations, as well as data from various anthropogenic hazard episodes, geological information and modelling. In addition, transnational access to multi-scale laboratories and geo-energy test-beds for low-carbon energy will be provided. TCS DDSS will be integrated into Integrated Core Services (ICS), a platform that will ensure their interoperability and access to these services by the scientific community as well as other users within the society. This requires dedicated tasks for interactions with the various TCS-WPs, as well as the various distributed ICS (ICS-Ds), such as High Performance Computing (HPC) facilities, large scale data storage facilities, complex processing and visualization tools etc. Computational Earth Science (CES) services are identified as a transversal activity and is planned to be harmonized and provided within the ICS. The EPOS Thematic Services will rely in part on strong and sustainable participation by national organisations and international consortia. While this distributed architecture will contribute to ensure pan European involvement in EPOS, it also raises specific challenges: ensuring similar granularity of services, compatibility of technical solutions, homogeneous legal agreements and sustainable financial engagement from the partner institutions and organisations. EPOS is engaging actions to address all of these issues during 2016-2017, after which the services will enter a final validation phase by the EPOS Board of Governmental Representatives.

Apache Open Climate Workbench: Building Open Source Climate Science Tools and Community at the Apache Software Foundation

NASA Astrophysics Data System (ADS)

Joyce, M.; Ramirez, P.; Boustani, M.; Mattmann, C. A.; Khudikyan, S.; McGibbney, L. J.; Whitehall, K. D.

2014-12-01

Apache Open Climate Workbench (OCW; https://climate.apache.org/) is a Top-Level Project at the Apache Software Foundation that aims to provide a suite of tools for performing climate science evaluations using model outputs from a multitude of different sources (ESGF, CORDEX, U.S. NCA, NARCCAP) with remote sensing data from NASA, NOAA, and other agencies. Apache OCW is the second NASA project to become a Top-Level Project at the Apache Software Foundation. It grew out of the Jet Propulsion Laboratory's (JPL) Regional Climate Model Evaluation System (RCMES) project, a collaboration between JPL and the University of California, Los Angeles' Joint Institute for Regional Earth System Science and Engineering (JIFRESSE). Apache OCW provides scientists and developers with tools for data manipulation, metrics for dataset comparisons, and a visualization suite. In addition to a powerful low-level API, Apache OCW also supports a web application for quick, browser-controlled evaluations, a command line application for local evaluations, and a virtual machine for isolated experimentation with minimal setup. This talk will look at the difficulties and successes of moving a closed community research project out into the wild world of open source. We'll explore the growing pains Apache OCW went through to become a Top-Level Project at the Apache Software Foundation as well as the benefits gained by opening up development to the broader climate and computer science communities.

Why the Petascale era will drive improvements in the management of the full lifecycle of earth science data.

NASA Astrophysics Data System (ADS)

Wyborn, L.

2012-04-01

The advent of the petascale era, in both storage and compute facilities, will offer new opportunities for earth scientists to transform the way they do their science and to undertake cross-disciplinary science at a global scale. No longer will data have to be averaged and subsampled: it can be analysed to its fullest resolution at national or even global scales. Much larger data volumes can be analysed in single passes and at higher resolution: large scale cross domain science is now feasible. However, in general, earth sciences have been slow to capitalise on the potential of these new petascale compute facilities: many struggle to even use terascale facilities. Our chances of using these new facilities will require a vast improvement in the management of the full life cycle of data: in reality it will need to be transformed. Many of our current issues with earth science data are historic and stem from the limitations of early data storage systems. As storage was so expensive, metadata was usually stored separate from the data and attached as a readme file. Likewise, attributes that defined uncertainty, reliability and traceability were recoded in lab note books and rarely stored with the data. Data were routinely transferred as files. The new opportunities require that the traditional discover, display and locally download and process paradigm is too limited. For data access and assimilation to be improved, data will need to be self describing. For heterogeneous data to be rapidly integrated attributes such as reliability, uncertainty and traceability will need to be systematically recorded with each observation. The petascale era also requires that individual data files be transformed and aggregated into calibrated data arrays or data cubes. Standards become critical and are the enablers of integration. These changes are common to almost every science discipline. What makes earth sciences unique is that many domains record time series data, particularly in the environmental geosciences areas (weathering, soil changes, climate change). The data life cycle will be measured in decades and centuries, not years. Preservation over such time spans is quite a challenge to the earth sciences as data will have to be managed over many evolutions of software and hardware. The focus has to be on managing the data and not the media. Currently storage is not an issue, but it is predicted that data volumes will soon exceed the effective storage media than can be physically manufactured. This means that organisations will have to think about disposal and destruction of data. For earth sciences, this will be a particularly sensitive issue. Petascale computing offers many new opportunities to the earth sciences and by 2020 exascale computers will be a reality. To fully realise these opportunities the earth sciences needs to actively and systematically rethink what the ramifications of these new systems will have on current practices for data storage, discovery, access and assimilation.

Research & Technology Report Goddard Space Flight Center

NASA Technical Reports Server (NTRS)

Soffen, Gerald A. (Editor); Truszkowski, Walter (Editor); Ottenstein, Howard (Editor); Frost, Kenneth (Editor); Maran, Stephen (Editor); Walter, Lou (Editor); Brown, Mitch (Editor)

1995-01-01

The main theme of this edition of the annual Research and Technology Report is Mission Operations and Data Systems. Shifting from centralized to distributed mission operations, and from human interactive operations to highly automated operations is reported. The following aspects are addressed: Mission planning and operations; TDRSS, Positioning Systems, and orbit determination; hardware and software associated with Ground System and Networks; data processing and analysis; and World Wide Web. Flight projects are described along with the achievements in space sciences and earth sciences. Spacecraft subsystems, cryogenic developments, and new tools and capabilities are also discussed.

The 1991 research and technology report, Goddard Space Flight Center

NASA Technical Reports Server (NTRS)

Soffen, Gerald (Editor); Ottenstein, Howard (Editor); Montgomery, Harry (Editor); Truszkowski, Walter (Editor); Frost, Kenneth (Editor); Sullivan, Walter (Editor); Boyle, Charles (Editor)

1991-01-01

The 1991 Research and Technology Report for Goddard Space Flight Center is presented. Research covered areas such as (1) earth sciences including upper atmosphere, lower atmosphere, oceans, hydrology, and global studies; (2) space sciences including solar studies, planetary studies, Astro-1, gamma ray investigations, and astrophysics; (3) flight projects; (4) engineering including robotics, mechanical engineering, electronics, imaging and optics, thermal and cryogenic studies, and balloons; and (5) ground systems, networks, and communications including data and networks, TDRSS, mission planning and scheduling, and software development and test.

Ionospheric Simulation System for Satellite Observations and Global Assimilative Model Experiments - ISOGAME

NASA Technical Reports Server (NTRS)

Pi, Xiaoqing; Mannucci, Anthony J.; Verkhoglyadova, Olga; Stephens, Philip; Iijima, Bryron A.

2013-01-01

Modeling and imaging the Earth's ionosphere as well as understanding its structures, inhomogeneities, and disturbances is a key part of NASA's Heliophysics Directorate science roadmap. This invention provides a design tool for scientific missions focused on the ionosphere. It is a scientifically important and technologically challenging task to assess the impact of a new observation system quantitatively on our capability of imaging and modeling the ionosphere. This question is often raised whenever a new satellite system is proposed, a new type of data is emerging, or a new modeling technique is developed. The proposed constellation would be part of a new observation system with more low-Earth orbiters tracking more radio occultation signals broadcast by Global Navigation Satellite System (GNSS) than those offered by the current GPS and COSMIC observation system. A simulation system was developed to fulfill this task. The system is composed of a suite of software that combines the Global Assimilative Ionospheric Model (GAIM) including first-principles and empirical ionospheric models, a multiple- dipole geomagnetic field model, data assimilation modules, observation simulator, visualization software, and orbit design, simulation, and optimization software.

Use of a personal computer for the real-time reception and analysis of data from a sounding rocket experiment

NASA Technical Reports Server (NTRS)

Herrick, W. D.; Penegor, G. T.; Cotton, D. M.; Kaplan, G. C.; Chakrabarti, S.

1990-01-01

In September 1988 the Earth and Planetary Atmospheres Group of the Space Sciences Laboratory of the University of California at Berkeley flew an experiment on a high-altitude sounding rocket launched from the NASA Wallops Flight Facility in Virginia. The experiment, BEARS (Berkeley EUV Airglow Rocket Spectrometer), was designed to obtain spectroscopic data on the composition and structure of the earth's upper atmosphere. Consideration is given to the objectives of the BEARS experiment; the computer interface and software; the use of remote data transmission; and calibration, integration, and flight operations.

Software Writing Skills for Your Research - Lessons Learned from Workshops in the Geosciences

NASA Astrophysics Data System (ADS)

Hammitzsch, Martin

2016-04-01

Findings presented in scientific papers are based on data and software. Once in a while they come along with data - but not commonly with software. However, the software used to gain findings plays a crucial role in the scientific work. Nevertheless, software is rarely seen publishable. Thus researchers may not reproduce the findings without the software which is in conflict with the principle of reproducibility in sciences. For both, the writing of publishable software and the reproducibility issue, the quality of software is of utmost importance. For many programming scientists the treatment of source code, e.g. with code design, version control, documentation, and testing is associated with additional work that is not covered in the primary research task. This includes the adoption of processes following the software development life cycle. However, the adoption of software engineering rules and best practices has to be recognized and accepted as part of the scientific performance. Most scientists have little incentive to improve code and do not publish code because software engineering habits are rarely practised by researchers or students. Software engineering skills are not passed on to followers as for paper writing skill. Thus it is often felt that the software or code produced is not publishable. The quality of software and its source code has a decisive influence on the quality of research results obtained and their traceability. So establishing best practices from software engineering to serve scientific needs is crucial for the success of scientific software. Even though scientists use existing software and code, i.e., from open source software repositories, only few contribute their code back into the repositories. So writing and opening code for Open Science means that subsequent users are able to run the code, e.g. by the provision of sufficient documentation, sample data sets, tests and comments which in turn can be proven by adequate and qualified reviews. This assumes that scientist learn to write and release code and software as they learn to write and publish papers. Having this in mind, software could be valued and assessed as a contribution to science. But this requires the relevant skills that can be passed to colleagues and followers. Therefore, the GFZ German Research Centre for Geosciences performed three workshops in 2015 to address the passing of software writing skills to young scientists, the next generation of researchers in the Earth, planetary and space sciences. Experiences in running these workshops and the lessons learned will be summarized in this presentation. The workshops have received support and funding by Software Carpentry, a volunteer organization whose goal is to make scientists more productive, and their work more reliable, by teaching them basic computing skills, and by FOSTER (Facilitate Open Science Training for European Research), a two-year, EU-Funded (FP7) project, whose goal to produce a European-wide training programme that will help to incorporate Open Access approaches into existing research methodologies and to integrate Open Science principles and practice in the current research workflow by targeting the young researchers and other stakeholders.

The Earth System Grid Federation: An Open Infrastructure for Access to Distributed Geospatial Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ananthakrishnan, Rachana; Bell, Gavin; Cinquini, Luca

2013-01-01

The Earth System Grid Federation (ESGF) is a multi-agency, international collaboration that aims at developing the software infrastructure needed to facilitate and empower the study of climate change on a global scale. The ESGF s architecture employs a system of geographically distributed peer nodes, which are independently administered yet united by the adoption of common federation protocols and application programming interfaces (APIs). The cornerstones of its interoperability are the peer-to-peer messaging that is continuously exchanged among all nodes in the federation; a shared architecture and API for search and discovery; and a security infrastructure based on industry standards (OpenID, SSL,more » GSI and SAML). The ESGF software is developed collaboratively across institutional boundaries and made available to the community as open source. It has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the entire model output used for the next international assessment report on climate change (IPCC-AR5) and a suite of satellite observations (obs4MIPs) and reanalysis data sets (ANA4MIPs).« less

The Earth System Grid Federation: An Open Infrastructure for Access to Distributed Geo-Spatial Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cinquini, Luca; Crichton, Daniel; Miller, Neill

2012-01-01

The Earth System Grid Federation (ESGF) is a multi-agency, international collaboration that aims at developing the software infrastructure needed to facilitate and empower the study of climate change on a global scale. The ESGF s architecture employs a system of geographically distributed peer nodes, which are independently administered yet united by the adoption of common federation protocols and application programming interfaces (APIs). The cornerstones of its interoperability are the peer-to-peer messaging that is continuously exchanged among all nodes in the federation; a shared architecture and API for search and discovery; and a security infrastructure based on industry standards (OpenID, SSL,more » GSI and SAML). The ESGF software is developed collaboratively across institutional boundaries and made available to the community as open source. It has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the entire model output used for the next international assessment report on climate change (IPCC-AR5) and a suite of satellite observations (obs4MIPs) and reanalysis data sets (ANA4MIPs).« less

The Earth System Grid Federation : an Open Infrastructure for Access to Distributed Geospatial Data

NASA Technical Reports Server (NTRS)

Cinquini, Luca; Crichton, Daniel; Mattmann, Chris; Harney, John; Shipman, Galen; Wang, Feiyi; Ananthakrishnan, Rachana; Miller, Neill; Denvil, Sebastian; Morgan, Mark;

The Five 'R's' for Developing Trusted Software Frameworks to increase confidence in, and maximise reuse of, Open Source Software.

NASA Astrophysics Data System (ADS)

Fraser, Ryan; Gross, Lutz; Wyborn, Lesley; Evans, Ben; Klump, Jens

2015-04-01

Recent investments in HPC, cloud and Petascale data stores, have dramatically increased the scale and resolution that earth science challenges can now be tackled. These new infrastructures are highly parallelised and to fully utilise them and access the large volumes of earth science data now available, a new approach to software stack engineering needs to be developed. The size, complexity and cost of the new infrastructures mean any software deployed has to be reliable, trusted and reusable. Increasingly software is available via open source repositories, but these usually only enable code to be discovered and downloaded. As a user it is hard for a scientist to judge the suitability and quality of individual codes: rarely is there information on how and where codes can be run, what the critical dependencies are, and in particular, on the version requirements and licensing of the underlying software stack. A trusted software framework is proposed to enable reliable software to be discovered, accessed and then deployed on multiple hardware environments. More specifically, this framework will enable those who generate the software, and those who fund the development of software, to gain credit for the effort, IP, time and dollars spent, and facilitate quantification of the impact of individual codes. For scientific users, the framework delivers reviewed and benchmarked scientific software with mechanisms to reproduce results. The trusted framework will have five separate, but connected components: Register, Review, Reference, Run, and Repeat. 1) The Register component will facilitate discovery of relevant software from multiple open source code repositories. The registration process of the code should include information about licensing, hardware environments it can be run on, define appropriate validation (testing) procedures and list the critical dependencies. 2) The Review component is targeting on the verification of the software typically against a set of benchmark cases. This will be achieved by linking the code in the software framework to peer review forums such as Mozilla Science or appropriate Journals (e.g. Geoscientific Model Development Journal) to assist users to know which codes to trust. 3) Referencing will be accomplished by linking the Software Framework to groups such as Figshare or ImpactStory that help disseminate and measure the impact of scientific research, including program code. 4) The Run component will draw on information supplied in the registration process, benchmark cases described in the review and relevant information to instantiate the scientific code on the selected environment. 5) The Repeat component will tap into existing Provenance Workflow engines that will automatically capture information that relate to a particular run of that software, including identification of all input and output artefacts, and all elements and transactions within that workflow. The proposed trusted software framework will enable users to rapidly discover and access reliable code, reduce the time to deploy it and greatly facilitate sharing, reuse and reinstallation of code. Properly designed it could enable an ability to scale out to massively parallel systems and be accessed nationally/ internationally for multiple use cases, including Supercomputer centres, cloud facilities, and local computers.

Free and Open Source Software for Geospatial in the field of planetary science

NASA Astrophysics Data System (ADS)

Frigeri, A.

2012-12-01

Information technology applied to geospatial analyses has spread quickly in the last ten years. The availability of OpenData and data from collaborative mapping projects increased the interest on tools, procedures and methods to handle spatially-related information. Free Open Source Software projects devoted to geospatial data handling are gaining a good success as the use of interoperable formats and protocols allow the user to choose what pipeline of tools and libraries is needed to solve a particular task, adapting the software scene to his specific problem. In particular, the Free Open Source model of development mimics the scientific method very well, and researchers should be naturally encouraged to take part to the development process of these software projects, as this represent a very agile way to interact among several institutions. When it comes to planetary sciences, geospatial Free Open Source Software is gaining a key role in projects that commonly involve different subjects in an international scenario. Very popular software suites for processing scientific mission data (for example, ISIS) and for navigation/planning (SPICE) are being distributed along with the source code and the interaction between user and developer is often very strict, creating a continuum between these two figures. A very widely spread library for handling geospatial data (GDAL) has started to support planetary data from the Planetary Data System, and recent contributions enabled the support to other popular data formats used in planetary science, as the Vicar one. The use of Geographic Information System in planetary science is now diffused, and Free Open Source GIS, open GIS formats and network protocols allow to extend existing tools and methods developed to solve Earth based problems, also to the case of the study of solar system bodies. A day in the working life of a researcher using Free Open Source Software for geospatial will be presented, as well as benefits and solutions to possible detriments coming from the effort required by using, supporting and contributing.

Managing Sustainable Data Infrastructures: The Gestalt of EOSDIS

NASA Astrophysics Data System (ADS)

Behnke, J.; Lindsay, F. E.; Lowe, D. R.; Mitchell, A. E.; Lynnes, C.

2016-12-01

NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of the NASA Earth observation program since the 1990's. The data collected by NASA's remote sensing instruments represent a significant public investment in research. EOSDIS provides free and open access to this data to a worldwide public research community. From the very beginning, EOSDIS was conceived as a system built on partnerships between NASA Centers, US agencies and academia. EOSDIS manages a wide range of Earth science discipline data that include cryosphere, land cover change, polar processes, field campaigns, ocean surface, digital elevation, atmosphere dynamics and composition, and inter-disciplinary research, among many others. Over the years, EOSDIS has evolved to support increasingly complex and diverse NASA Earth Science data collections. EOSDIS epitomizes a System of Systems, whose many varied and distributed parts are integrated into a single, highly functional organized science data system. A distributed architecture was adopted to ensure discipline-specific support for the science data, while also leveraging standards and establishing policies and tools to enable interdisciplinary research, and analysis across multiple scientific instruments. The EOSDIS is composed of system elements such as geographically distributed archive centers used to manage the stewardship of data. The infrastructure consists of underlying capabilities/connections that enable the primary system elements to function together. For example, one key infrastructure component is the common metadata repository, which enables discovery of all data within the EOSDIS system. . EOSDIS employs processes and standards to ensure partners can work together effectively, and provide coherent services to users. While the separation into domain-specific science archives helps to manage the wide variety of missions and datasets, the common services and practices serve to knit the overall system together into a coherent whole, with sharing of data, metadata, information and software making EOSDIS more than the simple sum of its parts. This paper will describe those parts and how the whole system works together to deliver Earth science data to millions of users.

Earth-Mars Telecommunications and Information Management System (TIMS): Antenna Visibility Determination, Network Simulation, and Management Models

NASA Technical Reports Server (NTRS)

Odubiyi, Jide; Kocur, David; Pino, Nino; Chu, Don

1996-01-01

This report presents the results of our research on Earth-Mars Telecommunications and Information Management System (TIMS) network modeling and unattended network operations. The primary focus of our research is to investigate the feasibility of the TIMS architecture, which links the Earth-based Mars Operations Control Center, Science Data Processing Facility, Mars Network Management Center, and the Deep Space Network of antennae to the relay satellites and other communication network elements based in the Mars region. The investigation was enhanced by developing Build 3 of the TIMS network modeling and simulation model. The results of several 'what-if' scenarios are reported along with reports on upgraded antenna visibility determination software and unattended network management prototype.

The Heritage of Earth Science Applications in Policy, Business, and Management of Natural Resources

NASA Astrophysics Data System (ADS)

Macauley, M.

2012-12-01

From the first hand-held cameras on the Gemini space missions to present day satellite instruments, Earth observations have enhanced the management of natural resources including water, land, and air. Applications include the development of new methodology (for example, developing and testing algorithms or demonstrating how data can be used) and the direct use of data in decisionmaking and policy implementation. Using well-defined bibliographic search indices to systematically survey a broad social science literature, this project enables identification of a host of well-documented, practical and direct applications of Earth science data in resource management. This literature has not previously been well surveyed, aggregated, or analyzed for the heritage of lessons learned in practical application of Earth science data. In the absence of such a survey, the usefulness of Earth science data is underestimated and the factors that make people want to use -- and able to use -- the data are poorly understood. The project extends and updates previous analysis of social science applications of Landsat data to show their contemporary, direct use in new policy, business, and management activities and decisionmaking. The previous surveys (for example, Blumberg and Jacobson 1997; National Research Council 1998) find that the earliest attempts to use data are almost exclusively testing of methodology rather than direct use in resource management. Examples of methodology prototyping include Green et al. (1997) who demonstrate use of remote sensing to detect and monitor changes in land cover and use, Cowen et al. (1995) who demonstrate design and integration of GIS for environmental applications, Hutchinson (1991) who shows uses of data for famine early warning, and Brondizio et al. (1996) who show the link of thematic mapper data with botanical data. Blumberg and Jacobson (in Acevedo et al. 1996) show use of data in a study of urban development in the San Francisco Bay and the Baltimore-Washington metropolitan regions. The earliest direct application of Earth science information to actual decisionmaking began with the use of Landsat data in large-scale government demonstration programs and later, in smaller state and local agency projects. Many of these applications served as experiments to show how to use the data and to test their limitations. These activities served as precursors to more recent applications. Among the newest applications are the use of data to provide essential information to underpin monetary estimates of ecosystem services and the development of "credit" programs for these services. Another example is participatory (citizen science) resource management. This project also identifies the heritage of adoption factors - that is, determinants of the decision to use Earth science data. These factors include previous experience with Earth science data, reliable and transparent validation and verification techniques for new data, the availability and thoroughness of metadata, the ease of access and use of the data products, and technological innovation in computing and software (factors largely outside of the Earth science enterprise but influential in ease of direct use of Earth science data).

Astronauts Share the Art and Science of Earth, in their Photographs from Space

NASA Astrophysics Data System (ADS)

Barstow, D. W.

2013-12-01

Astronauts have taken over 1 million photographs of Earth. Many of them directly support science research by documenting ephemeral events or showing Earth changes over the 50 year history of astronaut photography. And yet, even more of them are simply beautiful images of our wonderful planet. Astronauts love to look at the Earth from this 370km high vantage point. And they're constantly taking pictures - typically over 500 pictures each day. 'Oh, look at that' - click! 'And that' - click! Then they share them with scientists, other astronauts, and the public - as a way to help other people experience this transformative view of home planet Earth. Astronaut Chris Hadfield had 1.2 million followers on his tweeter feed from orbit, through which he sent hundreds of photographs. The yellows and oranges of the Sahara; serene islands in the middle of the Pacific; looking out over the snow-covered Alps; the night lights of Paris; looking straight down into an erupting volcano. What drama, what story, what a remarkable way to learn about Earth from the perspective of science and art. Each of these 1.2 million pictures was taken by a human, an astronaut who felt this awe and respect for Earth, who melded this art and science and pressed the button at the decisive moment. This session features dozens of these photographs, each selected as an all-time favorite by the astronauts after they returned to Earth. We will present the photos, as well as the astronauts' commentary, and an over-arching analysis of insights gained from the orbital perspective. We also will demonstrate the Windows on Earth software that the astronauts use on-orbit to plan their photographic opportunities and identify specific targets and features of interest, while orbiting at 17,000 mph. Finally, we will provide links to web-based resources for the public to get access to this entire archive of Earth photographs, so that they can pick their own favorites, download them, and explore creative ways to extend their scientific and artistic value. The session will include hellos and messages about Earth photography from current astronauts on the International Space Station, either pre-recorded, or if logistics work out (pending NASA approval), in a live downlink from ISS. Daniel Barstow, the presenter, is the Principal Investigator of Windows on Earth, and works closely with the astronauts on Earth photography.

Computational provenance in hydrologic science: a snow mapping example.

PubMed

Dozier, Jeff; Frew, James

2009-03-13

Computational provenance--a record of the antecedents and processing history of digital information--is key to properly documenting computer-based scientific research. To support investigations in hydrologic science, we produce the daily fractional snow-covered area from NASA's moderate-resolution imaging spectroradiometer (MODIS). From the MODIS reflectance data in seven wavelengths, we estimate the fraction of each 500 m pixel that snow covers. The daily products have data gaps and errors because of cloud cover and sensor viewing geometry, so we interpolate and smooth to produce our best estimate of the daily snow cover. To manage the data, we have developed the Earth System Science Server (ES3), a software environment for data-intensive Earth science, with unique capabilities for automatically and transparently capturing and managing the provenance of arbitrary computations. Transparent acquisition avoids the scientists having to express their computations in specific languages or schemas in order for provenance to be acquired and maintained. ES3 models provenance as relationships between processes and their input and output files. It is particularly suited to capturing the provenance of an evolving algorithm whose components span multiple languages and execution environments.

Improving the Accessibility and Use of NASA Earth Science Data

NASA Technical Reports Server (NTRS)

Tisdale, Matthew; Tisdale, Brian

2015-01-01

Many of the NASA Langley Atmospheric Science Data Center (ASDC) Distributed Active Archive Center (DAAC) multidimensional tropospheric and atmospheric chemistry data products are stored in HDF4, HDF5 or NetCDF format, which traditionally have been difficult to analyze and visualize with geospatial tools. With the rising demand from the diverse end-user communities for geospatial tools to handle multidimensional products, several applications, such as ArcGIS, have refined their software. Many geospatial applications now have new functionalities that enable the end user to: Store, serve, and perform analysis on each individual variable, its time dimension, and vertical dimension. Use NetCDF, GRIB, and HDF raster data formats across applications directly. Publish output within REST image services or WMS for time and space enabled web application development. During this webinar, participants will learn how to leverage geospatial applications such as ArcGIS, OPeNDAP and ncWMS in the production of Earth science information, and in increasing data accessibility and usability.

A survey of geographical information systems applications for the Earth Science and Applications Division, Space Sciences Laboratory, Marshall Space Flight Center

NASA Technical Reports Server (NTRS)

Rickman, D.; Butler, K. A.; Laymon, C. A.

1994-01-01

The purpose of this document is to introduce Geographical Information System (GIS) terminology and summarize interviews conducted with scientists in the Earth Science and Applications Division (ESAD). There is a growing need in ESAD for GIS technology. With many different data sources available to the scientists comes the need to be able to process and view these data in an efficient manner. Since most of these data are stored in vastly different formats, specialized software and hardware are needed. Several ESAD scientists have been using a GIS, specifically the Man-computer Interactive Data Access System (MCIDAS). MCIDAS can solve many of the research problems that arise, but there are areas of research that need more powerful tools; one such example is the multispectral image analysis which is described in this document. Given the strong need for GIS in ESAD, we recommend that a requirements analysis and implementation plan be developed using this document as a basis for further investigation.

TerraFERMA: The Transparent Finite Element Rapid Model Assembler for multi-physics problems in the solid Earth sciences

NASA Astrophysics Data System (ADS)

Spiegelman, M. W.; Wilson, C. R.; Van Keken, P. E.

2013-12-01

We announce the release of a new software infrastructure, TerraFERMA, the Transparent Finite Element Rapid Model Assembler for the exploration and solution of coupled multi-physics problems. The design of TerraFERMA is driven by two overarching computational needs in Earth sciences. The first is the need for increased flexibility in both problem description and solution strategies for coupled problems where small changes in model assumptions can often lead to dramatic changes in physical behavior. The second is the need for software and models that are more transparent so that results can be verified, reproduced and modified in a manner such that the best ideas in computation and earth science can be more easily shared and reused. TerraFERMA leverages three advanced open-source libraries for scientific computation that provide high level problem description (FEniCS), composable solvers for coupled multi-physics problems (PETSc) and a science neutral options handling system (SPuD) that allows the hierarchical management of all model options. TerraFERMA integrates these libraries into an easier to use interface that organizes the scientific and computational choices required in a model into a single options file, from which a custom compiled application is generated and run. Because all models share the same infrastructure, models become more reusable and reproducible. TerraFERMA inherits much of its functionality from the underlying libraries. It currently solves partial differential equations (PDE) using finite element methods on simplicial meshes of triangles (2D) and tetrahedra (3D). The software is particularly well suited for non-linear problems with complex coupling between components. We demonstrate the design and utility of TerraFERMA through examples of thermal convection and magma dynamics. TerraFERMA has been tested successfully against over 45 benchmark problems from 7 publications in incompressible and compressible convection, magmatic solitary waves and Stokes flow with free surfaces. We have been using it extensively for research in basic magma dynamics, fluid flow in subduction zones and reactive cracking in poro-elastic materials. TerraFERMA is open-source and available as a git repository at bitbucket.org/tferma/tferma and through CIG. Instability of a 1-D magmatic solitary wave to spherical 3D waves calculated using TerraFERMA

Tools for Virtual Collaboration Designed for High Resolution Hydrologic Research with Continental-Scale Data Support

NASA Astrophysics Data System (ADS)

Duffy, Christopher; Leonard, Lorne; Shi, Yuning; Bhatt, Gopal; Hanson, Paul; Gil, Yolanda; Yu, Xuan

2015-04-01

Using a series of recent examples and papers we explore some progress and potential for virtual (cyber-) collaboration inspired by access to high resolution, harmonized public-sector data at continental scales [1]. The first example describes 7 meso-scale catchments in Pennsylvania, USA where the watershed is forced by climate reanalysis and IPCC future climate scenarios (Intergovernmental Panel on Climate Change). We show how existing public-sector data and community models are currently able to resolve fine-scale eco-hydrologic processes regarding wetland response to climate change [2]. The results reveal that regional climate change is only part of the story, with large variations in flood and drought response associated with differences in terrain, physiography, landuse and/or hydrogeology. The importance of community-driven virtual testbeds are demonstrated in the context of Critical Zone Observatories, where earth scientists from around the world are organizing hydro-geophysical data and model results to explore new processes that couple hydrologic models with land-atmosphere interaction, biogeochemical weathering, carbon-nitrogen cycle, landscape evolution and ecosystem services [3][4]. Critical Zone cyber-research demonstrates how data-driven model development requires a flexible computational structure where process modules are relatively easy to incorporate and where new data structures can be implemented [5]. From the perspective of "Big-Data" the paper points out that extrapolating results from virtual observatories to catchments at continental scales, will require centralized or cloud-based cyberinfrastructure as a necessary condition for effectively sharing petabytes of data and model results [6]. Finally we outline how innovative cyber-science is supporting earth-science learning, sharing and exploration through the use of on-line tools where hydrologists and limnologists are sharing data and models for simulating the coupled impacts of catchment hydrology on lake eco-hydrology (NSF-INSPIRE, IIS1344272). The research attempts to use a virtual environment (www.organicdatascience.org) to break down disciplinary barriers and support emergent communities of science. [1] Source: Leonard and Duffy, 2013, Environmental Modelling & Software; [2] Source: Yu et al, 2014, Computers in Geoscience; [3] Source: Duffy et al, 2014, Procedia Earth and Planetary Science; [4] Source: Shi et al, Journal of Hydrometeorology, 2014; [5] Source: Bhatt et al, 2014, Environmental Modelling & Software ; [6] Leonard and Duffy, 2014, Environmental Modelling and Software.

Open Science: a first step towards Science Communication

NASA Astrophysics Data System (ADS)

Grigorov, Ivo; Tuddenham, Peter

2015-04-01

As Earth Science communicators gear up to adopt the new tools and captivating approaches to engage citizen scientists, budding entrepreneurs, policy makers and the public in general, researchers have the responsibility, and opportunity, to fully adopt Open Science principles and capitalize on its full societal impact and engagement. Open Science is about removing all barriers to basic research, whatever its formats, so that it can be freely used, re-used and re-hashed, thus fueling discourse and accelerating generation of innovative ideas. The concept is central to EU's Responsible Research and Innovation philosophy, and removing barriers to basic research measurably contributes to engaging citizen scientists into the research process, it sets the scene for co-creation of solutions to societal challenges, and raises the general science literacy level of the public. Despite this potential, only 50% of today's basic research is freely available. Open Science can be the first passive step of communicating marine research outside academia. Full and unrestricted access to our knowledge including data, software code and scientific publications is not just an ethical obligation, but also gives solid credibility to a more sophisticated communication strategy on engaging society. The presentation will demonstrate how Open Science perfectly compliments a coherent communication strategy for placing Marine Research in societal context, and how it underpin an effective integration of Ocean & Earth Literacy principles in standard educational, as well mobilizing citizen marine scientists, thus making marine science Open Science.

The Earth System Grid Federation (ESGF) Project

NASA Astrophysics Data System (ADS)

Carenton-Madiec, Nicolas; Denvil, Sébastien; Greenslade, Mark

2015-04-01

The Earth System Grid Federation (ESGF) Peer-to-Peer (P2P) enterprise system is a collaboration that develops, deploys and maintains software infrastructure for the management, dissemination, and analysis of model output and observational data. ESGF's primary goal is to facilitate advancements in Earth System Science. It is an interagency and international effort led by the US Department of Energy (DOE), and co-funded by National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), National Science Foundation (NSF), Infrastructure for the European Network of Earth System Modelling (IS-ENES) and international laboratories such as the Max Planck Institute for Meteorology (MPI-M) german Climate Computing Centre (DKRZ), the Australian National University (ANU) National Computational Infrastructure (NCI), Institut Pierre-Simon Laplace (IPSL), and the British Atmospheric Data Center (BADC). Its main mission is to support current CMIP5 activities and prepare for future assesments. The ESGF architecture is based on a system of autonomous and distributed nodes, which interoperate through common acceptance of federation protocols and trust agreements. Data is stored at multiple nodes around the world, and served through local data and metadata services. Nodes exchange information about their data holdings and services, trust each other for registering users and establishing access control decisions. The net result is that a user can use a web browser, connect to any node, and seamlessly find and access data throughout the federation. This type of collaborative working organization and distributed architecture context en-lighted the need of integration and testing processes definition to ensure the quality of software releases and interoperability. This presentation will introduce the ESGF project and demonstrate the range of tools and processes that have been set up to support release management activities.

Earth Remote Sensing Center of Excellence at Scripps Institution of Oceanography

NASA Technical Reports Server (NTRS)

Mitchell, B. Greg

2000-01-01

We developed advanced communications and networking capability and satellite reception systems for Earth science to improve the ability of scientists at Scripps Institution of Oceanography (SIO) to conduct interdisciplinary research. With matching funds from the SIO Director's office we implemented a "virtual center" utilizing modern networking hardware and software to enhance access for researchers and students to unique satellite and in situ data sets. The center provides facilities and data access to graduate students as well as research scientists at SIO, and outside SIO. Our private sector partners installed and testes and advanced X-band data acquisition system for satellite data capture relevant for Earth science research and applications. Some of the commercial applications of these partners have been developed (or are under development) with NASA SBIR resources. The X-band system collected RADARSAT, ERS-2 and MODIS imagery. Perhaps most importantly, this COE brought together - for the first time - an interdisciplinary team of SIO scientists with interests in Earth remote sensing. The collaboration extended beyond our infrastructure and research accomplishments leading to a dialog that resulted in a report with strong recommendations to the SIO community for enhancing satellite remote sensing at SIO.

The Examining Your Environment through the Power of Data Project (EYE-POD) Project at NAU: Professional Development for Secondary Education Teachers Using Earth Sciences and GIS

NASA Astrophysics Data System (ADS)

Sample, J. C.; Rubino-Hare, L.; Claesgens, J.; Fredrickson, K.; Manone, M.; White, M.

2010-12-01

The EYE-POD project at Northern Arizona University is an NSF-ITEST-funded professional development program for secondary science (SS) and career technical education (CTE) teachers. The program recruited SS-CTE teacher pairs from Arizona and the surrounding region to participate in two-week workshops during Summer, 2010, and an advanced workshop ins Summer, 2011. The workshops are led by a team with distinct expertise in science content, professional development and pedagogy, GIS, and project evaluation. Learning modules and a workshop agenda are developed using the Legacy Cycle of learning. Rather than compartmentalize pedagogical, content, and GIS learning activities, they have been combined throughout the workshop timeline. Early activities focus on learning of climate and weather processes through GIS modules provided by ESRI-“Mapping our World” and “Analyzing our World”. Participants learn the technical aspects of GIS software while investigating real phenomena. The science/GIS learning activities are augmented by laboratory demonstrations and field data collection using Labquest handheld field measurement systems with a variety of probes. At the end of the first week teacher-participants presented the solution to a problem, using GIS-based climate and weather data, involving travel to various locations on Earth. The second week focused on classroom, lab, and field activities devoted to recommendations to the City of Flagstaff for development in the Rio de Flag floodplain. Teacher-participant groups presented solutions making claims and recommendations supported by evidence from georeferenced field data and other GIS data acquired from various sources. At the close of the workshop teachers were provided with GIS software, hardware for field data collection, and several reference materials to aid in curriculum development. They have been tasked with implementing two GIS-based Earth science content modules in their schools, to one science class and one CTE class. One module must involve a field-based problem at their school site. The EYE-POD team will provide support to each school team through site visits and phone consultation. As part of the project, data on learning efficacy is being collected by an independent evaluator and analyzed by a science education faculty member (summarized in companion paper by Claesgens, et al.).

Autonomous Multi-sensor Coordination: The Science Goal Monitor

NASA Technical Reports Server (NTRS)

Koratkar, Anuradha; Jung, John; Geiger, Jenny; Grosvenor, Sandy

2004-01-01

Next-generation science and exploration systems will employ new observation strategies that will use multiple sensors in a dynamic environment to provide high quality monitoring, self-consistent analyses and informed decision making. The Science Goal Monitor (SGM) is a prototype software tool being developed to explore the nature of automation necessary to enable dynamic observing of earth phenomenon. The tools being developed in SGM improve our ability to autonomously monitor multiple independent sensors and coordinate reactions to better observe the dynamic phenomena. The SGM system enables users to specify events of interest and how to react when an event is detected. The system monitors streams of data to identify occurrences of the key events previously specified by the scientist/user. When an event occurs, the system autonomously coordinates the execution of the users desired reactions between different sensors. The information can be used to rapidly respond to a variety of fast temporal events. Investigators will no longer have to rely on after-the-fact data analysis to determine what happened. Our paper describes a series of prototype demonstrations that we have developed using SGM and NASA's Earth Observing-1 (EO-1) satellite and Earth Observing Systems Aqua/Terra spacecrafts MODIS instrument. Our demonstrations show the promise of coordinating data from different sources, analyzing the data for a relevant event, autonomously updating and rapidly obtaining a follow-on relevant image. SGM is being used to investigate forest fires, floods and volcanic eruptions. We are now identifying new earth science scenarios that will have more complex SGM reasoning. By developing and testing a prototype in an operational environment, we are also establishing and gathering metrics to gauge the success of automating science campaigns.

Stewardship of NASA's Earth Science Data and Ensuring Long-Term Active Archives

NASA Astrophysics Data System (ADS)

Ramapriyan, H.; Behnke, J.

2016-12-01

NASA's Earth Observing System Data and Information System (EOSDIS) has been in operation since 1994. EOSDIS manages data from pre-EOS missions dating back to 1960s, EOS missions that started in 1997, and missions from the post-EOS era. Its data holdings come from many different sources - satellite and airborne instruments, in situ measures, field experiments, science investigations, etc. Since the beginning of the EOS Program, NASA has followed an open data policy, with non-discriminatory access to data with no period of exclusive access. NASA has well-established processes for assigning and/or accepting datasets into one of 12 Distributed Active Archive Centers (DAACs) that are parts of EOSDIS. EOSDIS has been evolving through several information technology cycles, adapting to hardware and software changes in the commercial sector. NASA is responsible for maintaining Earth science data as long as users are interested in using them for research and applications, which is well beyond the life of the data gathering missions. For science data to remain useful over long periods of time, steps must be taken to preserve: 1. Data bits with no corruption, 2. Discoverability and access, 3. Readability, 4. Understandability, 5. Usability and 6. Reproducibility of results. NASA's Earth Science data and Information System (ESDIS) Project, along with the 12 EOSDIS Distributed Active Archive Centers (DAACs), has made significant progress in each of these areas over the last decade, and continues to evolve its active archive capabilities. Particular attention is being paid in recent years to ensure that the datasets are "published" in an easily accessible and citable manner through a unified metadata model, a common metadata repository (CMR), a coherent view through the earthdata.gov website, and assignment of Digital Object Identifiers (DOI) with well-designed landing/product information pages.

Administrative automation in a scientific environment

NASA Technical Reports Server (NTRS)

Jarrett, J. R.

1984-01-01

Although the scientific personnel at GSFC were advanced in the development and use of hardware and software for scientific applications, resistance to the use of automation or purchase of terminals, software and services, specifically for administrative functions was widespread. The approach used to address problems and constraints and plans for administrative automation within the Space and Earth Sciences Directorate are delineated. Accomplishments thus far include reduction of paperwork and manual efforts; improved communications through telemail and committees; additional support staff; increased awareness at all levels on ergonomic concerns and the need for training; better equipment; improved ADP skills through experience; management commitment; and an overall strategy for automating.

An introduction to the special issue on Geoscience Papers of the Future

NASA Astrophysics Data System (ADS)

David, Cédric H.; Gil, Yolanda; Duffy, Christopher J.; Peckham, Scott D.; Venayagamoorthy, S. Karan

2016-10-01

Advocates of enhanced quality for published scientific results are increasingly voicing the need for further transparency of data and software for scientific reproducibility. However, such advanced digital scholarship can appear perplexing to geoscientists that are seduced by the concept of open science yet wonder about the exact mechanics and implications of the associated efforts. This special issue of Earth and Space Science entitled "Geoscience Papers of the Future" includes a review of existing best practices for digital scholarship and bundles a set of example articles that share their digital research products and reflect on the process of opening their scientific approach in a common quest for reproducible science.

Investigation of Cloud Properties and Atmospheric Profiles with Modis

NASA Technical Reports Server (NTRS)

Menzel, Paul; Ackerman, Steve; Moeller, Chris; Gumley, Liam; Strabala, Kathy; Frey, Richard; Prins, Elaine; Laporte, Dan; Wolf, Walter

1997-01-01

A major milestone was accomplished with the delivery of all five University of Wisconsin MODIS Level 2 science production software packages to the Science Data Support Team (SDST) for integration. These deliveries were the culmination of months of design and testing, with most of the work focused on tasks peripheral to the actual science contained in the code. LTW hosted a MODIS infrared calibration workshop in September. Considerable progress has been made by MCST, with help from LTW, in refining the calibration algorithm, and in identifying and characterization outstanding problems. Work continues on characterizing the effects of non-blackbody earth surfaces on atmospheric profile retrievals and modeling radiative transfer through cirrus clouds.

Constructing Data Albums for Significant Severe Weather Events

NASA Technical Reports Server (NTRS)

Greene, Ethan; Zavodsky, Bradley; Ramachandran, Rahul; Kulkarni, Ajinkya; Li, Xiang; Bakare, Rohan; Basyal, Sabin; Conover, Helen

2014-01-01

There is need in the research community for weather-related case studies to improve prediction of and recovery after convective thunderstorms that produce damaging winds, hail, and tornadoes. One of the largest continuing challenges in any Earth Science investigation is the discovery of and access to useful science content from the increasingly large volumes of available Earth Science data. The Information Technology and Systems Center at the University of Alabama in Huntsville has developed a software system called Noesis 2.0 that can be used to produce Data Albums for weather events relevant to NASA Earth Science researchers. Noesis is an Internet search tool that combines relevant storm research, pictures and videos of an event or event aftermath, web pages containing news reports and official storm summaries, background information about damage, injuries, and deaths, and NASA datasets from field campaigns and satellites into a "one-stop shop" database. The Data Album concept has been previously applied to hurricane cases from 2010 to present. The objective of this paper is to extend that Hurricane Data Album concept to focus on development of an ontology for significant severe weather to aid in selecting appropriate NASA datasets for inclusion in a severe weather Data Album. Recent severe weather events in Moore and El Reno, Oklahoma will be analyzed as an example of how these events can be incorporated into a Data Album.

Stewardship of NASA's Earth Science Data and Ensuring Long-Term Active Archives

NASA Technical Reports Server (NTRS)

Ramapriyan, Hampapuram K.; Behnke, Jeanne

2016-01-01

Program, NASA has followed an open data policy, with non-discriminatory access to data with no period of exclusive access. NASA has well-established processes for assigning and or accepting datasets into one of 12 Distributed Active Archive Centers (DAACs) that are parts of EOSDIS. EOSDIS has been evolving through several information technology cycles, adapting to hardware and software changes in the commercial sector. NASA is responsible for maintaining Earth science data as long as users are interested in using them for research and applications, which is well beyond the life of the data gathering missions. For science data to remain useful over long periods of time, steps must be taken to preserve: (1) Data bits with no corruption, (2) Discoverability and access, (3) Readability, (4) Understandability, (5) Usability' and (6). Reproducibility of results. NASAs Earth Science data and Information System (ESDIS) Project, along with the 12 EOSDIS Distributed Active Archive Centers (DAACs), has made significant progress in each of these areas over the last decade, and continues to evolve its active archive capabilities. Particular attention is being paid in recent years to ensure that the datasets are published in an easily accessible and citable manner through a unified metadata model, a common metadata repository (CMR), a coherent view through the earthdata.gov website, and assignment of Digital Object Identifiers (DOI) with well-designed landing product information pages.

Magnetospheric Multiscale Mission Navigation Performance During Apogee-Raising and Beyond

NASA Technical Reports Server (NTRS)

Farahmand, Mitra; Long, Anne; Hollister, Jacob; Rose, Julie; Godine, Dominic

2017-01-01

The primary objective of the Magnetospheric Multiscale (MMS) Mission is to study the magnetic reconnection phenomena in the Earths magnetosphere. The MMS mission consists of four identical spinning spacecraft with the science objectives requiring a tetrahedral formation in highly elliptical orbits. The MMS spacecraft are equipped with onboard orbit and time determination software, provided by a weak-signal Global Positioning System (GPS) Navigator receiver hosting the Goddard Enhanced Onboard Navigation System (GEONS). This paper presents the results of MMS navigation performance analysis during the Phase 2a apogee-raising campaign and Phase 2b science segment of the mission.

Mars-Learning AN Open Access Educational Database

NASA Astrophysics Data System (ADS)

Kolankowski, S. M.; Fox, P. A.

2016-12-01

Schools across America have begun focusing more and more on science and technology, giving their students greater opportunities to learn about planetary science and engineering. With the development of rovers and advanced scientific instrumentation, we are learning about Mars' geologic history on a daily basis. These discoveries are crucial to our understanding of Earth and our solar system. By bringing these findings into the classroom, students can learn key concepts about Earth and Planetary sciences while focusing on a relevant current event. However, with an influx of readily accessible information, it is difficult for educators and students to find accurate and relevant material. Mars-Learning seeks to unify these discoveries and resources. This site will provide links to educational resources, software, and blogs with a focus on Mars. Activities will be grouped by grade for the middle and high school levels. Programs and software will be labeled, open access, free, or paid to ensure users have the proper tools to get the information they need. For new educators or those new to the subject, relevant blogs and pre-made lesson plans will be available so instructors can ensure their success. The expectation of Mars-Learning is to provide stress-free access to learning materials that falls within a wide range of curriculum. By providing a thorough and encompassing site, Mars-Learning hopes to further our understanding of the Red Planet and equip students with the knowledge and passion to continue this research.

Building thematic and integrated services for solid Earth sciences: the EPOS integrated approach

NASA Astrophysics Data System (ADS)

Cocco, Massimo; Consortium, Epos

2016-04-01

EPOS has been designed with the vision of creating a pan-European infrastructure for solid Earth science to support a safe and sustainable society. In accordance with this scientific vision, the EPOS mission is to integrate the diverse and advanced European Research Infrastructures for solid Earth science relying on new e-science opportunities to monitor and unravel the dynamic and complex Earth System. EPOS will enable innovative multidisciplinary research for a better understanding of the Earth's physical and chemical processes that control earthquakes, volcanic eruptions, ground instability and tsunami as well as the processes driving tectonics and Earth's surface dynamics. To accomplish its mission, EPOS is engaging different stakeholders, not limited to scientists, to allow the Earth sciences to open new horizons in our understanding of the planet. EPOS also aims at contributing to prepare society for geo-hazards and to responsibly manage the exploitation of geo-resources. Through integration of data, models and facilities, EPOS will allow the Earth science community to make a step change in developing new concepts and tools for key answers to scientific and socio-economic questions concerning geo-hazards and geo-resources as well as Earth sciences applications to the environment and human welfare. A long-term integration plan is necessary to accomplish the EPOS mission. EPOS is presently in its implementation phase further extending its pan-European dimension. The EPOS Implementation Phase builds on the achievements of the successful EPOS Preparatory Phase project and consists of two key activities: the legal establishment of the EPOS-ERIC and the EPOS IP project. The EPOS implementation phase will last from 2015 to 2019. Key objectives of the project are: implementing Thematic Core Services (TCS), the domain-specific service hubs for coordinating and harmonizing national resources/plans with the European dimension of EPOS; building the Integrated Core Services (ICS) to provide a novel research platform to different stakeholders; designing the access to distributed computational resources (ICS-d); ensuring sustainability and governance of TCS and EPOS-ERIC. The research infrastructures (RIs) that EPOS is coordinating include: i) distributed geophysical observing systems (seismological and geodetic networks); ii) local observatories (including geomagnetic, near-fault and volcano observatories); iii) analytical and experimental laboratories; iv) integrated satellite data and geological information services; v) new services for natural and anthropogenic hazards; vi) access to geo-energy test beds. Here we present the activities planned for the implementation phase focusing on the TCS, the ICS and on their interoperability. We will discuss the data, data-products, software and services (DDSS) presently under implementation, which will be validated and tested during the project lifetime. Particular attention will be given to showing the progress toward the establishment of EPOS-ERIC Headquarter, to coordinate and harmonize national RIs and EPOS services, and the ICS central hub as a key contribution for providing multidisciplinary services for solid Earth science as well as the glue to keep ICT aspects integrated and rationalized across EPOS. It will be an important and timely opportunity to discuss the EPOS roadmap toward the operation of the novel multidisciplinary platform for discoveries to foster scientific excellence in solid Earth science.

Image pattern recognition supporting interactive analysis and graphical visualization

NASA Technical Reports Server (NTRS)

Coggins, James M.

1992-01-01

Image Pattern Recognition attempts to infer properties of the world from image data. Such capabilities are crucial for making measurements from satellite or telescope images related to Earth and space science problems. Such measurements can be the required product itself, or the measurements can be used as input to a computer graphics system for visualization purposes. At present, the field of image pattern recognition lacks a unified scientific structure for developing and evaluating image pattern recognition applications. The overall goal of this project is to begin developing such a structure. This report summarizes results of a 3-year research effort in image pattern recognition addressing the following three principal aims: (1) to create a software foundation for the research and identify image pattern recognition problems in Earth and space science; (2) to develop image measurement operations based on Artificial Visual Systems; and (3) to develop multiscale image descriptions for use in interactive image analysis.

NASA/ESTO investments in remote sensing technologies (Conference Presentation)

NASA Astrophysics Data System (ADS)

Babu, Sachidananda R.

2017-02-01

For more then 18 years NASA Earth Science Technology Office has been investing in remote sensing technologies. During this period ESTO has invested in more then 900 tasks. These tasks are managed under multiple programs like Instrument Incubator Program (IIP), Advanced Component Technology (ACT), Advanced Information Systems Technology (AIST), In-Space Validation of Earth Science Technologies (InVEST), Sustainable Land Imaging - Technology (SLI-T) and others. This covers the whole spectrum of technologies from component to full up satellite in space and software. Over the years many of these technologies have been infused into space missions like Aquarius, SMAP, CYGNSS, SWOT, TEMPO and others. Over the years ESTO is actively investing in Infrared sensor technologies for space applications. Recent investments have been for SLI-T and InVEST program. On these tasks technology development is from simple Bolometers to Advanced Photonic waveguide based spectrometers. Some of the details on these missions and technologies will be presented.

ESTO Investments in Innovative Sensor Technologies for Remote Sensing

NASA Technical Reports Server (NTRS)

Babu, Sachidananda R.

2017-01-01

For more then 18 years NASA Earth Science Technology Office has been investing in remote sensing technologies. During this period ESTO has invested in more then 900 tasks. These tasks are managed under multiple programs like Instrument Incubator Program (IIP), Advanced Component Technology (ACT), Advanced Information Systems Technology (AIST), In-Space Validation of Earth Science Technologies (InVEST), Sustainable Land Imaging - Technology (SLI-T) and others. This covers the whole spectrum of technologies from component to full up satellite in space and software. Over the years many of these technologies have been infused into space missions like Aquarius, SMAP, CYGNSS, SWOT, TEMPO and others. Over the years ESTO is actively investing in Infrared sensor technologies for space applications. Recent investments have been for SLI-T and InVEST program. On these tasks technology development is from simple Bolometers to Advanced Photonic waveguide based spectrometers. Some of the details on these missions and technologies will be presented.

Protocol Architecture Model Report

NASA Technical Reports Server (NTRS)

Dhas, Chris

2000-01-01

NASA's Glenn Research Center (GRC) defines and develops advanced technology for high priority national needs in communications technologies for application to aeronautics and space. GRC tasked Computer Networks and Software Inc. (CNS) to examine protocols and architectures for an In-Space Internet Node. CNS has developed a methodology for network reference models to support NASA's four mission areas: Earth Science, Space Science, Human Exploration and Development of Space (REDS), Aerospace Technology. This report applies the methodology to three space Internet-based communications scenarios for future missions. CNS has conceptualized, designed, and developed space Internet-based communications protocols and architectures for each of the independent scenarios. The scenarios are: Scenario 1: Unicast communications between a Low-Earth-Orbit (LEO) spacecraft inspace Internet node and a ground terminal Internet node via a Tracking and Data Rela Satellite (TDRS) transfer; Scenario 2: Unicast communications between a Low-Earth-Orbit (LEO) International Space Station and a ground terminal Internet node via a TDRS transfer; Scenario 3: Multicast Communications (or "Multicasting"), 1 Spacecraft to N Ground Receivers, N Ground Transmitters to 1 Ground Receiver via a Spacecraft.

GENESI-DR - A single access point to Earth Science data

NASA Astrophysics Data System (ADS)

Cossu, R.; Goncalves, P.; Pacini, F.

2009-04-01

The amount of information being generated about our planet is increasing at an exponential rate, but it must be easily accessible in order to apply it to the global needs relating to the state of the Earth. Currently, information about the state of the Earth, relevant services, analysis results, applications and tools are accessible in a very scattered and uncoordinated way, often through individual initiatives from Earth Observation mission operators, scientific institutes dealing with ground measurements, service companies, data catalogues, etc. A dedicated infrastructure providing transparent access to all this will support Earth Science communities by allowing them to easily and quickly derive objective information and share knowledge based on all environmentally sensitive domains. The use of high-speed networks (GÉANT) and the experimentation of new technologies, like BitTorrent, will also contribute to better services for the Earth Science communities. GENESI-DR (Ground European Network for Earth Science Interoperations - Digital Repositories), an ESA-led, European Commission (EC)-funded two-year project, is taking the lead in providing reliable, easy, long-term access to Earth Science data via the Internet. This project will allow scientists from different Earth Science disciplines located across Europe to locate, access, combine and integrate historical and fresh Earth-related data from space, airborne and in-situ sensors archived in large distributed repositories. GENESI-DR builds a federated collection of heterogeneous digital Earth Science repositories to establish a dedicated infrastructure providing transparent access to all this and allowing Earth Science communities to easily and quickly derive objective information and share knowledge based on all environmentally sensitive domains. The federated digital repositories, seen as services and data providers, will share access to their resources (catalogue functions, data access, processing services etc.) and will adhere to a common set of standards / policies / interfaces. The end-users will be provided with a virtual collection of digital Earth Science data, irrespectively of their location in the various single federated repositories. GENESI-DR objectives have lead to the identification of the basic GENESI-DR infrastructure requirements: • Capability, for Earth Science users, to discover data from different European Earth Science Digital Repositories through the same interface in a transparent and homogeneous way; • Easiness and speed of access to large volumes of coherently maintained distributed data in an effective and timely way; • Capability, for DR owners, to easily make available their data to a significantly increased audience with no need to duplicate them in a different storage system. Data discovery is based on a Central Discovery Service, which allows users and applications to easily query information about data collections and products existing in heterogeneous catalogues, at federated DR sites. This service can be accessed by users via web interface, the GENESI-DR Web Portal, or by external applications via open standardized interfaces exposed by the system. The Central Discovery Service identifies the DRs providing products complying with the user search criteria and returns the corresponding access points to the requester. By taking into consideration different and efficient data transfer technologies such as HTTPS, GridFTP and BitTorrent, the infrastructure provides easiness and speed of access. Conversely, for data publishing GENESI-DR provides several mechanisms to assist DR owners in producing a metadata catalogues. In order to reach its objectives, the GENESI-DR e-Infrastructure will be validated against user needs for accessing and sharing Earth Science data. Initially, four specific applications in the land, atmosphere and marine domains have been selected, including: • Near real time orthorectification for agricultural crops monitoring • Urban area mapping in support of emergency response • Data assimilation in GlobModel, addressing major environmental and health issues in Europe, with a particular focus on air quality • SeaDataNet to aid environmental assessments and to forecast the physical state of the oceans in near real time. Other applications will complement this during the second half of the project. GENESI-DR also aims to develop common approaches to preserve the historical archives and the ability to access the derived user information as both software and hardware transformations occur. Ensuring access to Earth Science data for future generations is of utmost importance because it allows for the continuity of knowledge generation improvement. For instance, scientists accessing today's climate change data in 50 years will be able to better understand and detect trends in global warming and apply this knowledge to ongoing natural phenomena. GENESI-DR will work towards harmonising operations and applying approved standards, policies and interfaces at key Earth Science data repositories. To help with this undertaking, GENESI-DR will establish links with the relevant organisations and programmes such as space agencies, institutional environmental programmes, international Earth Science programmes and standardisation bodies.

The GLAS Science Algorithm Software (GSAS) User's Guide Version 7

NASA Technical Reports Server (NTRS)

Lee, Jeffrey E.

2013-01-01

The Geoscience Laser Altimeter System (GLAS) is the primary instrument for the ICESat (Ice, Cloud and Land Elevation Satellite) laser altimetry mission. ICESat was the benchmark Earth Observing System (EOS) mission for measuring ice sheet mass balance, cloud and aerosol heights, as well as land topography and vegetation characteristics. From 2003 to 2009, the ICESat mission provided multi-year elevation data needed to determine ice sheet mass balance as well as cloud property information, especially for stratospheric clouds common over polar areas. It also provided topography and vegetation data around the globe, in addition to the polar-specific coverage over the Greenland and Antarctic ice sheets.This document is the final version of the GLAS Science Algorithm Software Users Guide document. It contains the instructions to install the GLAS Science Algorithm Software (GSAS) in the production environment that was used to create the standard data products. It also describes the usage of each GSAS program in that environment with their required inputs and outputs. Included are a number of utility programs that are used to create ancillary data files that are used in the processing but generally are not distributed to the public as data products. Of importance is the values for the large number of constants used in the GSAS algorithm during processing are provided in an appendix.

Collaboration and Community Building in Summer Undergraduate Research Programs in the School of Earth Sciences at Stanford University

NASA Astrophysics Data System (ADS)

Nevle, R. J.; Watson Nelson, T.; Harris, J. M.; Klemperer, S. L.

2012-12-01

In 2012, the School of Earth Sciences (SES) at Stanford University sponsored two summer undergraduate research programs. Here we describe these programs and efforts to build a cohesive research cohort among the programs' diverse participants. The two programs, the Stanford School of Earth Sciences Undergraduate Research (SESUR) Program and Stanford School of Earth Sciences Summer Undergraduate Research in Geoscience and Engineering (SURGE) Program, serve different undergraduate populations and have somewhat different objectives, but both provide students with opportunities to work on strongly mentored yet individualized research projects. In addition to research, enrichment activities co-sponsored by both programs support the development of community within the combined SES summer undergraduate research cohort. Over the course of 6 to 9 months, the SESUR Program engages Stanford undergraduates, primarily rising sophomores and juniors, with opportunities to deeply explore Earth sciences research while learning about diverse areas of inquiry within SES. Now in its eleventh year, the SESUR experience incorporates the breadth of the scientific endeavor: finding an advisor, proposal writing, obtaining funding, conducting research, and presenting results. Goals of the SESUR program include (1) providing a challenging and rewarding research experience for undergraduates who wish to explore the Earth sciences; (2) fostering interdisciplinary study in the Earth sciences among the undergraduate population; and (3) encouraging students to major or minor in the Earth sciences and/or to complete advanced undergraduate research in one of the departments or programs within SES. The SURGE Program, now in its second year, draws high performing students, primarily rising juniors and seniors, from 14 colleges and universities nationwide, including Stanford. Seventy percent of SURGE students are from racial/ethnic backgrounds underrepresented in STEM fields, and approximately one-third are the first in their families to attend college. For eight weeks, SURGE scholars conduct independent research with the guidance of faculty, research group mentors, and program assistants. The primary objectives of the SURGE program are to (1) provide undergraduates with a research experience in SES; (2) prepare undergraduates for the process of applying to graduate school; (3) introduce undergraduates to career opportunities in the geosciences and engineering; and (4) increase diversity in SES graduate programs. Independent research, network building, and intense mentoring culminate in a final oral and poster symposium. SESUR and SURGE scholars jointly participate in enrichment activities including faculty research seminars; career, graduate school, and software training workshops; GRE preparation classes; and geoscience-oriented field trips. Interaction among our students takes place through both research and enrichment activities, creating a critical mass of undergraduate scholars and promoting community development. Pre- and post-program surveys indicate that the overall goals of both programs are being achieved.

An Open Source Software and Web-GIS Based Platform for Airborne SAR Remote Sensing Data Management, Distribution and Sharing

NASA Astrophysics Data System (ADS)

Changyong, Dou; Huadong, Guo; Chunming, Han; Ming, Liu

2014-03-01

With more and more Earth observation data available to the community, how to manage and sharing these valuable remote sensing datasets is becoming an urgent issue to be solved. The web based Geographical Information Systems (GIS) technology provides a convenient way for the users in different locations to share and make use of the same dataset. In order to efficiently use the airborne Synthetic Aperture Radar (SAR) remote sensing data acquired in the Airborne Remote Sensing Center of the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), a Web-GIS based platform for airborne SAR data management, distribution and sharing was designed and developed. The major features of the system include map based navigation search interface, full resolution imagery shown overlaid the map, and all the software adopted in the platform are Open Source Software (OSS). The functions of the platform include browsing the imagery on the map navigation based interface, ordering and downloading data online, image dataset and user management, etc. At present, the system is under testing in RADI and will come to regular operation soon.

The Hierarchical Data Format as a Foundation for Community Data Sharing

NASA Astrophysics Data System (ADS)

Habermann, T.

2017-12-01

Hierarchical Data Format (HDF) formats and libraries have been used by individual researchers and major science programs across many Earth and Space Science disciplines and sectors to provide high-performance information storage and access for several decades. Generic group, dataset, and attribute objects in HDF have been combined in many ways to form domain objects that scientists understand and use. Well-known applications of HDF in the Earth Sciences include thousands of global satellite observations and products produced by NASA's Earth Observing System using the HDF-EOS conventions, navigation quality bathymetry produced as Bathymetric Attributed Grids (BAGs) by the OpenNavigationSurface project and others, seismic wave collections written into the Adoptable Seismic Data Format (ASDF) and many oceanographic and atmospheric products produced using the climate-forecast conventions with the netCDF4 data model and API to HDF5. This is the modus operandi of these communities: 1) develop a model of scientific data objects and associated metadata used in a domain, 2) implement that model using HDF, 3) develop software libraries that connect that model to tools and 4) encourage adoption of those tools in the community. Understanding these domain object implementations and facilitating communication across communities is an important goal of The HDF Group. We will discuss these examples and approaches to community outreach during this session.

The Earth System (ES-DOC) Project

NASA Astrophysics Data System (ADS)

Greenslade, Mark; Murphy, Sylvia; Treshansky, Allyn; DeLuca, Cecilia; Guilyardi, Eric; Denvil, Sebastien

2014-05-01

ESSI1.3 New Paradigms, Modelling, and International Collaboration Strategies for Earth System Sciences Earth System Documentation (ES-DOC) is an international project supplying tools & services in support of earth system documentation creation, analysis and dissemination. It is nurturing a sustainable standards based documentation eco-system that aims to become an integral part of the next generation of exa-scale dataset archives. ES-DOC leverages open source software and places end-user narratives at the heart of all it does. ES-DOC has initially focused upon nurturing the Earth System Model (ESM) documentation eco-system. Within this context ES-DOC leverages emerging documentation standards and supports the following projects: Coupled Model Inter-comparison Project Phase 5 (CMIP5); Dynamical Core Model Inter-comparison Project (DCMIP); National Climate Predictions and Projections Platforms Quantitative Evaluation of Downscaling Workshop. This presentation will introduce the project to a wider audience and demonstrate the range of tools and services currently available for use. It will also demonstrate how international collaborative efforts are essential to the success of ES-DOC.

Working Towards New Transformative Geoscience Analytics Enabled by Petascale Computing

NASA Astrophysics Data System (ADS)

Woodcock, R.; Wyborn, L.

2012-04-01

Currently the top 10 supercomputers in the world are petascale and already exascale computers are being planned. Cloud computing facilities are becoming mainstream either as private or commercial investments. These computational developments will provide abundant opportunities for the earth science community to tackle the data deluge which has resulted from new instrumentation enabling data to be gathered at a greater rate and at higher resolution. Combined, the new computational environments should enable the earth sciences to be transformed. However, experience in Australia and elsewhere has shown that it is not easy to scale existing earth science methods, software and analytics to take advantage of the increased computational capacity that is now available. It is not simply a matter of 'transferring' current work practices to the new facilities: they have to be extensively 'transformed'. In particular new Geoscientific methods will need to be developed using advanced data mining, assimilation, machine learning and integration algorithms. Software will have to be capable of operating in highly parallelised environments, and will also need to be able to scale as the compute systems grow. Data access will have to improve and the earth science community needs to move from the file discovery, display and then locally download paradigm to self describing data cubes and data arrays that are available as online resources from either major data repositories or in the cloud. In the new transformed world, rather than analysing satellite data scene by scene, sensor agnostic data cubes of calibrated earth observation data will enable researchers to move across data from multiple sensors at varying spatial data resolutions. In using geophysics to characterise basement and cover, rather than analysing individual gridded airborne geophysical data sets, and then combining the results, petascale computing will enable analysis of multiple data types, collected at varying resolutions with integration and validation across data type boundaries. Increased capacity of storage and compute will mean that uncertainty and reliability of individual observations will consistently be taken into account and propagated throughout the processing chain. If these data access difficulties can be overcome, the increased compute capacity will also mean that larger scale, more complex models can be run at higher resolution and instead of single pass modelling runs. Ensembles of models will be able to be run to simultaneously test multiple hypotheses. Petascale computing and high performance data offer more than "bigger, faster": it is an opportunity for a transformative change in the way in which geoscience research is routinely conducted.

An interactive environment for the analysis of large Earth observation and model data sets

NASA Technical Reports Server (NTRS)

Bowman, Kenneth P.; Walsh, John E.; Wilhelmson, Robert B.

1994-01-01

Envision is an interactive environment that provides researchers in the earth sciences convenient ways to manage, browse, and visualize large observed or model data sets. Its main features are support for the netCDF and HDF file formats, an easy to use X/Motif user interface, a client-server configuration, and portability to many UNIX workstations. The Envision package also provides new ways to view and change metadata in a set of data files. It permits a scientist to conveniently and efficiently manage large data sets consisting of many data files. It also provides links to popular visualization tools so that data can be quickly browsed. Envision is a public domain package, freely available to the scientific community. Envision software (binaries and source code) and documentation can be obtained from either of these servers: ftp://vista.atmos.uiuc.edu/pub/envision/ and ftp://csrp.tamu.edu/pub/envision/. Detailed descriptions of Envision capabilities and operations can be found in the User's Guide and Reference Manuals distributed with Envision software.

User's guide to image processing applications of the NOAA satellite HRPT/AVHRR data. Part 1: Introduction to the satellite system and its applications. Part 2: Processing and analysis of AVHRR imagery

NASA Technical Reports Server (NTRS)

Huh, Oscar Karl; Leibowitz, Scott G.; Dirosa, Donald; Hill, John M.

1986-01-01

The use of NOAA Advanced Very High Resolution Radar/High Resolution Picture Transmission (AVHRR/HRPT) imagery for earth resource applications is provided for the applications scientist for use within the various Earth science, resource, and agricultural disciplines. A guide to processing NOAA AVHRR data using the hardware and software systems integrated for this NASA project is provided. The processing steps from raw data on computer compatible tapes (1B data format) through usable qualitative and quantitative products for applications are given. The manual is divided into two parts. The first section describes the NOAA satellite system, its sensors, and the theoretical basis for using these data for environmental applications. Part 2 is a hands-on description of how to use a specific image processing system, the International Imaging Systems, Inc. (I2S) Model 75 Array Processor and S575 software, to process these data.

The ASP Sensor Network: Infrastructure for the Next Generation of NASA Airborne Science

NASA Astrophysics Data System (ADS)

Myers, J. S.; Sorenson, C. E.; Van Gilst, D. P.; Duley, A.

2012-12-01

A state-of-the-art real-time data communications network is being implemented across the NASA Airborne Science Program core platforms. Utilizing onboard Ethernet networks and satellite communications systems, it is intended to maximize the science return from both single-platform missions and complex multi-aircraft Earth science campaigns. It also provides an open platform for data visualization and synthesis software tools, for use by the science instrument community. This paper will describe the prototype implementations currently deployed on the NASA DC-8 and Global Hawk aircraft, and the ongoing effort to expand the capability to other science platforms. Emphasis will be on the basic network architecture, the enabling hardware, and new standardized instrument interfaces. The new Mission Tools Suite, which provides an web-based user interface, will be also described; together with several example use-cases of this evolving technology.

Integrated System for Autonomous Science

NASA Technical Reports Server (NTRS)

Chien, Steve; Sherwood, Robert; Tran, Daniel; Cichy, Benjamin; Davies, Ashley; Castano, Rebecca; Rabideau, Gregg; Frye, Stuart; Trout, Bruce; Shulman, Seth;

Unidata: A cyberinfrastrucuture for the geosciences

NASA Astrophysics Data System (ADS)

Ramamurthy, Mohan

2016-04-01

Data are the lifeblood of the geosciences. Rapid advances in computing, communications, and observational technologies - along with concomitant advances in high-resolution modeling, ensemble and coupled-systems predictions of the Earth system - are revolutionizing nearly every aspect of our field. The result is a dramatic proliferation of data from diverse sources; data that are consumed by an evolving and ever-broadening community of users and that are becoming the principal engine for driving scientific advances. Data-enabled research has emerged as a Fourth Paradigm of science, alongside experiments, theoretical studies, and computer simulations Unidata is a data facility, sponsored by the NSF, and our mission is to provide the data services, tools, and cyberinfrastructure leadership that advance Earth system science, enhance educational opportunities, and broaden participation in the geosciences. For more nearly thirty years, Unidata has worked in concert with the atmospheric science education and research community to develop and provide innovative data systems, tools, techniques, and resources to support data-enabled science to understand the Earth system. In doing so, Unidata has maintained a close, synergistic relationship with the universities, engaging them in collaborative efforts to exploit data and technologies, and removing roadblocks to data discovery, access, analysis, and effective use. As a community-governed program, Unidata depends on guidance and feedback from educators, researchers, and students in the atmospheric and related sciences. The Unidata Program helps researchers and educators acquire and use earth-related data. Most of the data are provided in "real time" or "near-real time" - that is, the data are sent to participants almost as soon as the observations are made. Unidata also develops, maintains, and supports a variety of software packages. Most of these packages are developed at the Unidata Program Center (UPC), while a few others originated externally, but are modified, maintained, and supported at the UPC. Software provided by Unidata is available at no charge. The overarching goal embodied in Unidata's strategic plan is the creation of a scientific ecosystem in which "data friction" is reduced and data transparency and ease-of-use are increased. In such an environment, scientists will expend less effort locating, acquiring, and processing data and more time interpreting their data and sharing knowledge. To accomplish the goals set forth in our strategic plan, Unidata has been working to build and provide cloud-based infrastructure that makes it easy to discover, access, integrate and use data from disparate geoscience disciplines, allowing investigators to perceive connections that today are obscured by incompatible data formats or the mistaken impression that the data they need for their investigations do not exist.

Portable Planetariums Teach Science

NASA Technical Reports Server (NTRS)

2015-01-01

With the Internet proving to be the wave of the future, in the 1990s Johnson Space Center awarded grants to Rice University in Houston for developing the world's first Internet-accessible museum kiosk. Further grants were awarded to the school for creating educational software for use in homes and schools, leading to the creation of Museums Teaching Planet Earth Inc. The company has gone on to develop and sell portable planetariums and accompanying educational shows.

Live from Space Station Learning Technologies Project

NASA Technical Reports Server (NTRS)

2001-01-01

This is the Final Report for the Live From Space Station (LFSS) project under the Learning Technologies Project FY 2001 of the MSFC Education Programs Department. AZ Technology, Inc. (AZTek) has developed and implemented science education software tools to support tasks under the LTP program. Initial audience consisted of 26 TreK in the Classroom schools and thousands of museum visitors to the International Space Station: The Earth Tour exhibit sponsored by Discovery Place museum.

Spectral mapping tools from the earth sciences applied to spectral microscopy data.

PubMed

Harris, A Thomas

2006-08-01

Spectral imaging, originating from the field of earth remote sensing, is a powerful tool that is being increasingly used in a wide variety of applications for material identification. Several workers have used techniques like linear spectral unmixing (LSU) to discriminate materials in images derived from spectral microscopy. However, many spectral analysis algorithms rely on assumptions that are often violated in microscopy applications. This study explores algorithms originally developed as improvements on early earth imaging techniques that can be easily translated for use with spectral microscopy. To best demonstrate the application of earth remote sensing spectral analysis tools to spectral microscopy data, earth imaging software was used to analyze data acquired with a Leica confocal microscope with mechanical spectral scanning. For this study, spectral training signatures (often referred to as endmembers) were selected with the ENVI (ITT Visual Information Solutions, Boulder, CO) "spectral hourglass" processing flow, a series of tools that use the spectrally over-determined nature of hyperspectral data to find the most spectrally pure (or spectrally unique) pixels within the data set. This set of endmember signatures was then used in the full range of mapping algorithms available in ENVI to determine locations, and in some cases subpixel abundances of endmembers. Mapping and abundance images showed a broad agreement between the spectral analysis algorithms, supported through visual assessment of output classification images and through statistical analysis of the distribution of pixels within each endmember class. The powerful spectral analysis algorithms available in COTS software, the result of decades of research in earth imaging, are easily translated to new sources of spectral data. Although the scale between earth imagery and spectral microscopy is radically different, the problem is the same: mapping material locations and abundances based on unique spectral signatures. (c) 2006 International Society for Analytical Cytology.

Earth Science Mobile App Development for Non-Programmers

NASA Astrophysics Data System (ADS)

Oostra, D.; Crecelius, S.; Lewis, P.; Chambers, L. H.

2012-08-01

A number of cloud based visual development tools have emerged that provide methods for developing mobile applications quickly and without previous programming experience. The MY NASA DATA (MND) team would like to begin a discussion on how we can best leverage current mobile app technologies and available Earth science datasets. The MY NASA DATA team is developing an approach based on two main ideas. The first is to teach our constituents how to create mobile applications that interact with NASA datasets; the second is to provide web services or Application Programming Interfaces (APIs) that create sources of data that educators, students and scientists can use in their own mobile app development. This framework allows data providers to foster mobile application development and interaction while not becoming a software clearing house. MY NASA DATA's research has included meetings with local data providers, educators, libraries and individuals. A high level of interest has been identified from initial discussions and interviews. This overt interest combined with the marked popularity of mobile applications in our societies has created a new channel for outreach and communications with and between the science and educational communities.

Advanced Cyberinfrastructure for Geochronology as a Collaborative Endeavor: A Decade of Progress, A Decade of Plans

NASA Astrophysics Data System (ADS)

Bowring, J. F.; McLean, N. M.; Walker, J. D.; Gehrels, G. E.; Rubin, K. H.; Dutton, A.; Bowring, S. A.; Rioux, M. E.

2015-12-01

The Cyber Infrastructure Research and Development Lab for the Earth Sciences (CIRDLES.org) has worked collaboratively for the last decade with geochronologists from EARTHTIME and EarthChem to build cyberinfrastructure geared to ensuring transparency and reproducibility in geoscience workflows and is engaged in refining and extending that work to serve additional geochronology domains during the next decade. ET_Redux (formerly U-Pb_Redux) is a free open-source software system that provides end-to-end support for the analysis of U-Pb geochronological data. The system reduces raw mass spectrometer (TIMS and LA-ICPMS) data to U-Pb dates, allows users to interpret ages from these data, and then facilitates the seamless federation of the results from one or more labs into a community web-accessible database using standard and open techniques. This EarthChem database - GeoChron.org - depends on keyed references to the System for Earth Sample Registration (SESAR) database that stores metadata about registered samples. These keys are each a unique International Geo Sample Number (IGSN) assigned to a sample and to its derivatives. ET_Redux provides for interaction with this archive, allowing analysts to store, maintain, retrieve, and share their data and analytical results electronically with whomever they choose. This initiative has created an open standard for the data elements of a complete reduction and analysis of U-Pb data, and is currently working to complete the same for U-series geochronology. We have demonstrated the utility of interdisciplinary collaboration between computer scientists and geoscientists in achieving a working and useful system that provides transparency and supports reproducibility, allowing geochemists to focus on their specialties. The software engineering community also benefits by acquiring research opportunities to improve development process methodologies used in the design, implementation, and sustainability of domain-specific software.

Autonomous Science Analysis with the New Millennium Program-Autonomous Sciencecraft Experiment

NASA Astrophysics Data System (ADS)

Doggett, T.; Davies, A. G.; Castano, R. A.; Baker, V. R.; Dohm, J. M.; Greeley, R.; Williams, K. K.; Chien, S.; Sherwood, R.

2002-12-01

The NASA New Millennium Program (NMP) is a testbed for new, high-risk technologies, including new software and hardware. The Autonomous Sciencecraft Experiment (ASE) will fly on the Air Force Research Laboratory TechSat-21 mission in 2006 is such a NMP mission, and is managed by the Jet Propulsion Laboratory, California Institute of Technology. TechSat-21 consists of three satellites, each equipped with X-band Synthetic Aperture Radar (SAR) that will occupy a 13-day repeat track Earth orbit. The main science objectives of ASE are to demonstrate that process-related change detection and feature identification can be conducted autonomously during space flight, leading to autonomous onboard retargeting of the spacecraft. This mission will observe transient geological and environmental processes using SAR. Examples of geologic processes that may be observed and investigated include active volcanism, the movement of sand dunes and transient features in desert environments, water flooding, and the formation and break-up of lake ice. Science software onboard the spacecraft will allow autonomous processing and formation of SAR images and extraction of scientific information. The subsequent analyses, performed on images formed onboard from the SAR data, will include feature identification using scalable feature "templates" for each target, change detection through comparison of current and archived images, and science discovery, a search for other features of interest in each image. This approach results in obtaining the same science return for a reduced amount of resource use (such as downlink) when compared to that from a mission operating without ASE technology. Redundant data is discarded. The science-driven goals of ASE will evolve during the ASE mission through onboard replanning software that can re-task satellite operations. If necessary, as a result of a discovery made autonomously by onboard science processing, existing observation sequences will be pre-empted to obtain data of potential high scientific content. Flight validation of this software will enable radically different missions with significant onboard decision-making and novel science concepts (onboard decision making and selective data return). This work has been carried out at the Jet Propulsion Laboratory-California Institute of Technology, under contract to NASA.

Tracking change over time

USGS Publications Warehouse

,

2011-01-01

Landsat satellites capture images of Earth from space-and have since 1972! These images provide a long-term record of natural and human-induced changes on the global landscape. Comparing images from multiple years reveals slow and subtle changes as well as rapid and devastating ones. Landsat images are available over the Internet at no charge. Using the free software MultiSpec, students can track changes to the landscape over time-just like remote sensing scientists do! The objective of the Tracking Change Over Time lesson plan is to get students excited about studying the changing Earth. Intended for students in grades 5-8, the lesson plan is flexible and may be used as a student self-guided tutorial or as a teacher-led class lesson. Enhance students' learning of geography, map reading, earth science, and problem solving by seeing landscape changes from space.

Computational Environments and Analysis methods available on the NCI High Performance Computing (HPC) and High Performance Data (HPD) Platform

NASA Astrophysics Data System (ADS)

Evans, B. J. K.; Foster, C.; Minchin, S. A.; Pugh, T.; Lewis, A.; Wyborn, L. A.; Evans, B. J.; Uhlherr, A.

2014-12-01

The National Computational Infrastructure (NCI) has established a powerful in-situ computational environment to enable both high performance computing and data-intensive science across a wide spectrum of national environmental data collections - in particular climate, observational data and geoscientific assets. This paper examines 1) the computational environments that supports the modelling and data processing pipelines, 2) the analysis environments and methods to support data analysis, and 3) the progress in addressing harmonisation of the underlying data collections for future transdisciplinary research that enable accurate climate projections. NCI makes available 10+ PB major data collections from both the government and research sectors based on six themes: 1) weather, climate, and earth system science model simulations, 2) marine and earth observations, 3) geosciences, 4) terrestrial ecosystems, 5) water and hydrology, and 6) astronomy, social and biosciences. Collectively they span the lithosphere, crust, biosphere, hydrosphere, troposphere, and stratosphere. The data is largely sourced from NCI's partners (which include the custodians of many of the national scientific records), major research communities, and collaborating overseas organisations. The data is accessible within an integrated HPC-HPD environment - a 1.2 PFlop supercomputer (Raijin), a HPC class 3000 core OpenStack cloud system and several highly connected large scale and high-bandwidth Lustre filesystems. This computational environment supports a catalogue of integrated reusable software and workflows from earth system and ecosystem modelling, weather research, satellite and other observed data processing and analysis. To enable transdisciplinary research on this scale, data needs to be harmonised so that researchers can readily apply techniques and software across the corpus of data available and not be constrained to work within artificial disciplinary boundaries. Future challenges will involve the further integration and analysis of this data across the social sciences to facilitate the impacts across the societal domain, including timely analysis to more accurately predict and forecast future climate and environmental state.

High performance compression of science data

NASA Technical Reports Server (NTRS)

Storer, James A.; Cohn, Martin

1992-01-01

In the future, NASA expects to gather over a tera-byte per day of data requiring space for levels of archival storage. Data compression will be a key component in systems that store this data (e.g., optical disk and tape) as well as in communications systems (both between space and Earth and between scientific locations on Earth). We propose to develop algorithms that can be a basis for software and hardware systems that compress a wide variety of scientific data with different criteria for fidelity/bandwidth tradeoffs. The algorithmic approaches we consider are specially targeted for parallel computation where data rates of over 1 billion bits per second are achievable with current technology.

High performance compression of science data

NASA Technical Reports Server (NTRS)

Storer, James A.; Cohn, Martin

1993-01-01

In the future, NASA expects to gather over a tera-byte per day of data requiring space for levels of archival storage. Data compression will be a key component in systems that store this data (e.g., optical disk and tape) as well as in communications systems (both between space and Earth and between scientific locations on Earth). We propose to develop algorithms that can be a basis for software and hardware systems that compress a wide variety of scientific data with different criteria for fidelity/bandwidth tradeoffs. The algorithmic approaches we consider are specially targeted for parallel computation where data rates of over 1 billion bits per second are achievable with current technology.

Lunar and Planetary Science XXXV: Image Processing and Earth Observations

NASA Technical Reports Server (NTRS)

2004-01-01

The titles in this section include: 1) Expansion in Geographic Information Services for PIGWAD; 2) Modernization of the Integrated Software for Imagers and Spectrometers; 3) Science-based Region-of-Interest Image Compression; 4) Topographic Analysis with a Stereo Matching Tool Kit; 5) Central Avra Valley Storage and Recovery Project (CAVSARP) Site, Tucson, Arizona: Floodwater and Soil Moisture Investigations with Extraterrestrial Applications; 6) ASE Floodwater Classifier Development for EO-1 HYPERION Imagery; 7) Autonomous Sciencecraft Experiment (ASE) Operations on EO-1 in 2004; 8) Autonomous Vegetation Cover Scene Classification of EO-1 Hyperion Hyperspectral Data; 9) Long-Term Continental Areal Reduction Produced by Tectonic Processes.

Climate Science's Globally Distributed Infrastructure

NASA Astrophysics Data System (ADS)

Williams, D. N.

2016-12-01

The Earth System Grid Federation (ESGF) is primarily funded by the Department of Energy's (DOE's) Office of Science (the Office of Biological and Environmental Research [BER] Climate Data Informatics Program and the Office of Advanced Scientific Computing Research Next Generation Network for Science Program), the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), and the National Science Foundation (NSF), the European Infrastructure for the European Network for Earth System Modeling (IS-ENES), and the Australian National University (ANU). Support also comes from other U.S. federal and international agencies. The federation works across multiple worldwide data centers and spans seven international network organizations to provide users with the ability to access, analyze, and visualize data using a globally federated collection of networks, computers, and software. Its architecture employs a series of geographically distributed peer nodes that are independently administered and united by common federation protocols and application programming interfaces (APIs). The full ESGF infrastructure has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the Coupled Model Intercomparison Project (CMIP; output used by the Intergovernmental Panel on Climate Change assessment reports), multiple model intercomparison projects (MIPs; endorsed by the World Climate Research Programme [WCRP]), and the Accelerated Climate Modeling for Energy (ACME; ESGF is included in the overarching ACME workflow process to store model output). ESGF is a successful example of integration of disparate open-source technologies into a cohesive functional system that serves the needs the global climate science community. Data served by ESGF includes not only model output but also observational data from satellites and instruments, reanalysis, and generated images.

Experiences with Transitioning Science Data Production from a Symmetric Multiprocessor Platform to a Linux Cluster Environment

NASA Astrophysics Data System (ADS)

Walter, R. J.; Protack, S. P.; Harris, C. J.; Caruthers, C.; Kusterer, J. M.

2008-12-01

NASA's Atmospheric Science Data Center at the NASA Langley Research Center performs all of the science data processing for the Multi-angle Imaging SpectroRadiometer (MISR) instrument. MISR is one of the five remote sensing instruments flying aboard NASA's Terra spacecraft. From the time of Terra launch in December 1999 until February 2008, all MISR science data processing was performed on a Silicon Graphics, Inc. (SGI) platform. However, dramatic improvements in commodity computing technology coupled with steadily declining project budgets during that period eventually made transitioning MISR processing to a commodity computing environment both feasible and necessary. The Atmospheric Science Data Center has successfully ported the MISR science data processing environment from the SGI platform to a Linux cluster environment. There were a multitude of technical challenges associated with this transition. Even though the core architecture of the production system did not change, the manner in which it interacted with underlying hardware was fundamentally different. In addition, there are more potential throughput bottlenecks in a cluster environment than there are in a symmetric multiprocessor environment like the SGI platform and each of these had to be addressed. Once all the technical issues associated with the transition were resolved, the Atmospheric Science Data Center had a MISR science data processing system with significantly higher throughput than the SGI platform at a fraction of the cost. In addition to the commodity hardware, free and open source software such as S4PM, Sun Grid Engine, PostgreSQL and Ganglia play a significant role in the new system. Details of the technical challenges and resolutions, software systems, performance improvements, and cost savings associated with the transition will be discussed. The Atmospheric Science Data Center in Langley's Science Directorate leads NASA's program for the processing, archival and distribution of Earth science data in the areas of radiation budget, clouds, aerosols, and tropospheric chemistry. The Data Center was established in 1991 to support NASA's Earth Observing System and the U.S. Global Change Research Program. It is unique among NASA data centers in the size of its archive, cutting edge computing technology, and full range of data services. For more information regarding ASDC data holdings, documentation, tools and services, visit http://eosweb.larc.nasa.gov

Towards a Conceptual Design of a Cross-Domain Integrative Information System for the Geosciences

NASA Astrophysics Data System (ADS)

Zaslavsky, I.; Richard, S. M.; Valentine, D. W.; Malik, T.; Gupta, A.

2013-12-01

As geoscientists increasingly focus on studying processes that span multiple research domains, there is an increased need for cross-domain interoperability solutions that can scale to the entire geosciences, bridging information and knowledge systems, models, software tools, as well as connecting researchers and organization. Creating a community-driven cyberinfrastructure (CI) to address the grand challenges of integrative Earth science research and education is the focus of EarthCube, a new research initiative of the U.S. National Science Foundation. We are approaching EarthCube design as a complex socio-technical system of systems, in which communication between various domain subsystems, people and organizations enables more comprehensive, data-intensive research designs and knowledge sharing. In particular, we focus on integrating 'traditional' layered CI components - including information sources, catalogs, vocabularies, services, analysis and modeling tools - with CI components supporting scholarly communication, self-organization and social networking (e.g. research profiles, Q&A systems, annotations), in a manner that follows and enhances existing patterns of data, information and knowledge exchange within and across geoscience domains. We describe an initial architecture design focused on enabling the CI to (a) provide an environment for scientifically sound information and software discovery and reuse; (b) evolve by factoring in the impact of maturing movements like linked data, 'big data', and social collaborations, as well as experience from work on large information systems in other domains; (c) handle the ever increasing volume, complexity and diversity of geoscience information; (d) incorporate new information and analytical requirements, tools, and techniques, and emerging types of earth observations and models; (e) accommodate different ideas and approaches to research and data stewardship; (f) be responsive to the existing and anticipated needs of researchers and organizations representing both established and emerging CI users; and (g) make best use of NSF's current investment in the geoscience CI. The presentation will focus on the challenges and methodology of EarthCube CI design, in particular on supporting social engagement and interaction between geoscientists and computer scientists as a core function of EarthCube architecture. This capability must include mechanisms to not only locate and integrate available geoscience resources, but also engage individuals and projects, research products and publications, and enable efficient communication across many EarthCube stakeholders leading to long-term institutional alignment and trusted collaborations.

Monitoring Building Energy Systems at NASA Centers Using NASA Earth Science data, CMIP5 climate data products and RETScreen Expert Clean Energy Tool

NASA Astrophysics Data System (ADS)

Stackhouse, P. W., Jr.; Ganoe, R. E.; Westberg, D. J.; Leng, G. J.; Teets, E.; Hughes, J. M.; De Young, R.; Carroll, M.; Liou, L. C.; Iraci, L. T.; Podolske, J. R.; Stefanov, W. L.; Chandler, W.

2016-12-01

The NASA Climate Adaptation Science Investigator team is devoted to building linkages between NASA Earth Science and those within NASA responsible for infrastructure assessment, upgrades and planning. One of the focus areas is assessing NASA center infrastructure for energy efficiency, planning to meet new energy portfolio standards, and assessing future energy needs. These topics intersect at the provision of current and predicted future weather and climate data. This presentation provides an overview of the multi-center effort to access current building energy usage using Earth science observations, including those from in situ measurements, satellite measurement analysis, and global model data products as inputs to the RETScreen Expert, a clean energy decision support tool. RETScreen® Expert, sponsored by Natural Resources Canada (NRCan), is a tool dedicated to developing and providing clean energy project analysis software for the feasibility design and assessment of a wide range of building projects that incorporate renewable energy technologies. RETScreen Expert requires daily average meteorological and solar parameters that are available within less than a month of real-time. A special temporal collection of meteorological parameters was compiled from near-by surface in situ measurements. These together with NASA data from the NASA CERES (Clouds and Earth's Radiance Energy System)/FLASHFlux (Fast Longwave and SHortwave radiative Fluxes) provides solar fluxes and the NASA GMAO (Global Modeling and Assimilation Office) GEOS (Goddard Earth Observing System) operational meteorological analysis are directly used for meteorological input parameters. Examples of energy analysis for a few select buildings at various NASA centers are presented in terms of the energy usage relationship that these buildings have with changes in their meteorological environment. The energy requirements of potential future climates are then surveyed for a range of changes using the most recent CMIP5 global climate model data output.

A Hybrid Constraint Representation and Reasoning Framework

NASA Technical Reports Server (NTRS)

Golden, Keith; Pang, Wanlin

2004-01-01

In this paper, we introduce JNET, a novel constraint representation and reasoning framework that supports procedural constraints and constraint attachments, providing a flexible way of integrating the constraint system with a runtime software environment and improving its applicability. We describe how JNET is applied to a real-world problem - NASA's Earth-science data processing domain, and demonstrate how JNET can be extended, without any knowledge of how it is implemented, to meet the growing demands of real-world applications.

Lunar and Planetary Science XXXV: Undergraduate Education and Research Programs, Facilities, and Information Access

NASA Technical Reports Server (NTRS)

2004-01-01

The titles in this section include: 1) GRIDVIEW: Recent Improvements in Research and Education Software for Exploring Mars Topography; 2) Software and Hardware Upgrades for the University of North Dakota Asteroid and Comet Internet Telescope (ACIT); 3) Web-based Program for Calculating Effects of an Earth Impact; 4) On-Line Education, Web- and Virtual-Classes in an Urban University: A Preliminary Overview; 5) Modelling Planetary Material's Structures: From Quasicrystalline Microstructure to Crystallographic Materials by Use of Mathematica; 6) How We Used NASA Lunar Set in Planetary and Material Science Studies: Textural and Cooling Sequences in Sections of Lava Column from a Thin and a Thick Lava-Flow, from the Moon and Mars with Terrestrial Analogue and Chondrule Textural Comparisons; 7) Classroom Teaching of Space Technology and Simulations by the Husar Rover Model; 8) New Experiments (In Meteorology, Aerosols, Soil Moisture and Ice) on the New Hunveyor Educational Planetary Landers of Universities and Colleges in Hungary; 9) Teaching Planetary GIS by Constructing Its Model for the Test Terrain of the Hunveyor and Husar; 10) Undergraduate Students: An Untapped Resource for Planetary Researchers; 11) Analog Sites in Field Work of Petrology: Rock Assembly Delivered to a Plain by Floods on Earth and Mars; 12) RELAB (Reflectance Experiment Laboratory): A NASA Multiuser Spectroscopy Facility; 13) Full Text Searching and Customization in the NASA ADS Abstract Service.

Advanced Diagnostic System on Earth Observing One

NASA Technical Reports Server (NTRS)

Hayden, Sandra C.; Sweet, Adam J.; Christa, Scott E.; Tran, Daniel; Shulman, Seth

2004-01-01

In this infusion experiment, the Livingstone 2 (L2) model-based diagnosis engine, developed by the Computational Sciences division at NASA Ames Research Center, has been uploaded to the Earth Observing One (EO-1) satellite. L2 is integrated with the Autonomous Sciencecraft Experiment (ASE) which provides an on-board planning capability and a software bridge to the spacecraft's 1773 data bus. Using a model of the spacecraft subsystems, L2 predicts nominal state transitions initiated by control commands, monitors the spacecraft sensors, and, in the case of failure, isolates the fault based on the discrepant observations. Fault detection and isolation is done by determining a set of component modes, including most likely failures, which satisfy the current observations. All mode transitions and diagnoses are telemetered to the ground for analysis. The initial L2 model is scoped to EO-1's imaging instruments and solid state recorder. Diagnostic scenarios for EO-1's nominal imaging timeline are demonstrated by injecting simulated faults on-board the spacecraft. The solid state recorder stores the science images and also hosts: the experiment software. The main objective of the experiment is to mature the L2 technology to Technology Readiness Level (TRL) 7. Experiment results are presented, as well as a discussion of the challenging technical issues encountered. Future extensions may explore coordination with the planner, and model-based ground operations.

The European Plate Observing System (EPOS): Integrating Thematic Services for Solid Earth Science

NASA Astrophysics Data System (ADS)

Atakan, Kuvvet; Bailo, Daniele; Consortium, Epos

2016-04-01

The mission of EPOS is to monitor and understand the dynamic and complex Earth system by relying on new e-science opportunities and integrating diverse and advanced Research Infrastructures in Europe for solid Earth Science. EPOS will enable innovative multidisciplinary research for a better understanding of the Earth's physical and chemical processes that control earthquakes, volcanic eruptions, ground instability and tsunami as well as the processes driving tectonics and Earth's surface dynamics. Through integration of data, models and facilities EPOS will allow the Earth Science community to make a step change in developing new concepts and tools for key answers to scientific and socio-economic questions concerning geo-hazards and geo-resources as well as Earth sciences applications to the environment and to human welfare. EPOS, during its Implementation Phase (EPOS-IP), will integrate multidisciplinary data into a single e-infrastructure. Multidisciplinary data are organized and governed by the Thematic Core Services (TCS) and are driven by various scientific communities encompassing a wide spectrum of Earth science disciplines. These include Data, Data-products, Services and Software (DDSS), from seismology, near fault observatories, geodetic observations, volcano observations, satellite observations, geomagnetic observations, as well as data from various anthropogenic hazard episodes, geological information and modelling. In addition, transnational access to multi-scale laboratories and geo-energy test-beds for low-carbon energy will be provided. TCS DDSS will be integrated into Integrated Core Services (ICS), a platform that will ensure their interoperability and access to these services by the scientific community as well as other users within the society. This requires dedicated tasks for interactions with the various TCS-WPs, as well as the various distributed ICS (ICS-Ds), such as High Performance Computing (HPC) facilities, large scale data storage facilities, complex processing and visualization tools etc. Computational Earth Science (CES) services are identified as a transversal activity and is planned to be harmonized and provided within the ICS. Currently a comprehensive requirements and use cases elicitation process is started through interactions with the ten different Thematic Core Service work packages. The results of this will be used to harmonize the DDSS elements and prepare for interoperability across the various disciplines. For this purpose a dedicated workshop is planned where the representatives of all the TCS communities will jointly discuss and agree upon the harmonization process. The technical integration of the DDSS elements to a metadata structure adopting CERIF (Common European Research Information Format) standards will start after the harmonization process is completed. Various levels of maturity in the handling and availability of TCS specific DDSS elements among the different TCS groups, is one of the most challenging aspects of this integration. For this reason a roadmap for integration is being prepared where most mature DDSS elements will be implemented during the next 2 years after a community driven testing and validation process. Integration of the remaining DDSS elements will be a continuously evolving process in the coming years.

The NCI High Performance Computing (HPC) and High Performance Data (HPD) Platform to Support the Analysis of Petascale Environmental Data Collections

NASA Astrophysics Data System (ADS)

Evans, B. J. K.; Pugh, T.; Wyborn, L. A.; Porter, D.; Allen, C.; Smillie, J.; Antony, J.; Trenham, C.; Evans, B. J.; Beckett, D.; Erwin, T.; King, E.; Hodge, J.; Woodcock, R.; Fraser, R.; Lescinsky, D. T.

2014-12-01

The National Computational Infrastructure (NCI) has co-located a priority set of national data assets within a HPC research platform. This powerful in-situ computational platform has been created to help serve and analyse the massive amounts of data across the spectrum of environmental collections - in particular the climate, observational data and geoscientific domains. This paper examines the infrastructure, innovation and opportunity for this significant research platform. NCI currently manages nationally significant data collections (10+ PB) categorised as 1) earth system sciences, climate and weather model data assets and products, 2) earth and marine observations and products, 3) geosciences, 4) terrestrial ecosystem, 5) water management and hydrology, and 6) astronomy, social science and biosciences. The data is largely sourced from the NCI partners (who include the custodians of many of the national scientific records), major research communities, and collaborating overseas organisations. By co-locating these large valuable data assets, new opportunities have arisen by harmonising the data collections, making a powerful transdisciplinary research platformThe data is accessible within an integrated HPC-HPD environment - a 1.2 PFlop supercomputer (Raijin), a HPC class 3000 core OpenStack cloud system and several highly connected large scale and high-bandwidth Lustre filesystems. New scientific software, cloud-scale techniques, server-side visualisation and data services have been harnessed and integrated into the platform, so that analysis is performed seamlessly across the traditional boundaries of the underlying data domains. Characterisation of the techniques along with performance profiling ensures scalability of each software component, all of which can either be enhanced or replaced through future improvements. A Development-to-Operations (DevOps) framework has also been implemented to manage the scale of the software complexity alone. This ensures that software is both upgradable and maintainable, and can be readily reused with complexly integrated systems and become part of the growing global trusted community tools for cross-disciplinary research.

Learning Science in the 21st century - a shared experience between schools

NASA Astrophysics Data System (ADS)

Pinto, Tânia; Soares, Rosa; Ruas, Fátima

2015-04-01

Problem Based Learning is considered an innovative teaching and learning inquiry methodology that is student centered, focused in the resolution of an authentic problem and in which the teacher acts like a facilitator of the work in small groups. In this process, it is expected that students develop attitudinal, procedural and communication skills, in addition to the cognitive typically valued. PBL implementation also allows the use of multiple educational strategies, like laboratorial experiments, analogue modeling or ICT (video animations, electronic presentations or software simulations, for instance), which can potentiate a more interactive environment in the classroom. In this study, taken in three schools in the north of Portugal, which resulted from the cooperation between three science teachers, with a 75 individuals sample, were examined students' opinions about the main difficulties and strengths concerning the PBL methodology, having as a common denominator the use of a laboratorial experiment followed by an adequate digital software as educational resource to interpret the obtained results and to make predictions (e.g. EarthQuake, Virtual Quake, Stellarium). The data collection methods were based on direct observation and questionnaires. The results globally show that this educational approach motivates students' towards science, helping them to solve problems from daily life and that the use of software was relevant, as well as the collaborative working. The cognitive strand continues to be the most valued by pupils.

The GLAS Science Algorithm Software (GSAS) Detailed Design Document Version 6. Volume 16

NASA Technical Reports Server (NTRS)

Lee, Jeffrey E.

2013-01-01

The Geoscience Laser Altimeter System (GLAS) is the primary instrument for the ICESat (Ice, Cloud and Land Elevation Satellite) laser altimetry mission. ICESat was the benchmark Earth Observing System (EOS) mission for measuring ice sheet mass balance, cloud and aerosol heights, as well as land topography and vegetation characteristics. From 2003 to 2009, the ICESat mission provided multi-year elevation data needed to determine ice sheet mass balance as well as cloud property information, especially for stratospheric clouds common over polar areas. It also provided topography and vegetation data around the globe, in addition to the polar-specific coverage over the Greenland and Antarctic ice sheets.This document describes the detailed design of GLAS Science Algorithm Software (GSAS). The GSAS is used to create the ICESat GLAS standard data products. The National Snow and Ice Data Center (NSDIC) distribute these products. The document contains descriptions, flow charts, data flow diagrams, and structure charts for each major component of the GSAS. The purpose of this document is to present the detailed design of the GSAS. It is intended as a reference source to assist the maintenance programmer in making changes that fix or enhance the documented software.

Sensor Webs: Autonomous Rapid Response to Monitor Transient Science Events

NASA Technical Reports Server (NTRS)

Mandl, Dan; Grosvenor, Sandra; Frye, Stu; Sherwood, Robert; Chien, Steve; Davies, Ashley; Cichy, Ben; Ingram, Mary Ann; Langley, John; Miranda, Felix

2005-01-01

To better understand how physical phenomena, such as volcanic eruptions, evolve over time, multiple sensor observations over the duration of the event are required. Using sensor web approaches that integrate original detections by in-situ sensors and global-coverage, lower-resolution, on-orbit assets with automated rapid response observations from high resolution sensors, more observations of significant events can be made with increased temporal, spatial, and spectral resolution. This paper describes experiments using Earth Observing 1 (EO-1) along with other space and ground assets to implement progressive mission autonomy to identify, locate and image with high resolution instruments phenomena such as wildfires, volcanoes, floods and ice breakup. The software that plans, schedules and controls the various satellite assets are used to form ad hoc constellations which enable collaborative autonomous image collections triggered by transient phenomena. This software is both flight and ground based and works in concert to run all of the required assets cohesively and includes software that is model-based, artificial intelligence software.

Improving Earth Science Metadata: Modernizing ncISO

NASA Astrophysics Data System (ADS)

O'Brien, K.; Schweitzer, R.; Neufeld, D.; Burger, E. F.; Signell, R. P.; Arms, S. C.; Wilcox, K.

2016-12-01

ncISO is a package of tools developed at NOAA's National Center for Environmental Information (NCEI) that facilitates the generation of ISO 19115-2 metadata from NetCDF data sources. The tool currently exists in two iterations: a command line utility and a web-accessible service within the THREDDS Data Server (TDS). Several projects, including NOAA's Unified Access Framework (UAF), depend upon ncISO to generate the ISO-compliant metadata from their data holdings and use the resulting information to populate discovery tools such as NCEI's ESRI Geoportal and NOAA's data.noaa.gov CKAN system. In addition to generating ISO 19115-2 metadata, the tool calculates a rubric score based on how well the dataset follows the Attribute Conventions for Dataset Discovery (ACDD). The result of this rubric calculation, along with information about what has been included and what is missing is displayed in an HTML document generated by the ncISO software package. Recently ncISO has fallen behind in terms of supporting updates to conventions such updates to the ACDD. With the blessing of the original programmer, NOAA's UAF has been working to modernize the ncISO software base. In addition to upgrading ncISO to utilize version1.3 of the ACDD, we have been working with partners at Unidata and IOOS to unify the tool's code base. In essence, we are merging the command line capabilities into the same software that will now be used by the TDS service, allowing easier updates when conventions such as ACDD are updated in the future. In this presentation, we will discuss the work the UAF project has done to support updated conventions within ncISO, as well as describe how the updated tool is helping to improve metadata throughout the earth and ocean sciences.

Online Interactive Data Analysis of Multi-Sensor Data Using Giovanni

NASA Astrophysics Data System (ADS)

Berrick, S.; Leptoukh, G.; Liu, Z.; Rui, H.; Shen, S.; Teng, W.; Zhu, T.

2005-12-01

The goal of the GES-DISC Interactive Online Visualization and Analysis System (Giovanni) is to provide earth science users a means for performing data analysis on data in the Goddard Earth Sciences (GES) Distributed Active Archive Center (DAAC) without having to download the data. Through Giovanni, users are able to apply statistical analysis on many individual gridded global data products across multiple instruments and even inter-compare parameters from more than one instrument. Giovanni currently allows users to select a time window and a region of interest to generate many graphical output types including area plots (time-averaged), time-series (area-averaged), Hovmoller (latitude vs. time, longitude vs. time), and animations for area plots. A number of graphical output types are also available for parameter inter-comparisons. ASCII output is also available for those who want to apply their own analysis software. Using the knowledge gained from Giovanni, a user can minimize the amount of data they need to download while maximizing the amount of relevant content in those data. The design challenges of Giovanni are (1) to successfully balance a simple, intuitive Web interface with the complexity and heterogeneity of our data, (2) to have a simple and flexible configuration so that new data sets and parameters can be added and organized for particular user communities, (3) to be agnostic with respect to the analysis software and graphing software and, (4) scalability. In a short time, the original Giovanni (Giovanni 1) has grown from two instances to eight (Giovanni 2), each tailored for a specific user community. The demand, however, for Giovanni and its capabilities continues to increase and in order to meet those demands, a redesign effort of Giovanni, which we call Giovanni 3, is being undertaken.

Mapping and Modeling Web Portal to Advance Global Monitoring and Climate Research

NASA Astrophysics Data System (ADS)

Chang, G.; Malhotra, S.; Bui, B.; Sadaqathulla, S.; Goodale, C. E.; Ramirez, P.; Kim, R. M.; Rodriguez, L.; Law, E.

2011-12-01

Today, the principal investigators of NASA Earth Science missions develop their own software to manipulate, visualize, and analyze the data collected from Earth, space, and airborne observation instruments. There is very little, if any, collaboration among these principal investigators due to the lack of collaborative tools, which would allow these scientists to share data and results. At NASA's Jet Propulsion Laboratory (JPL), under the Lunar Mapping and Modeling Project (LMMP), we have built a web portal that exposes a set of common services to users to allow search, visualization, subset, and download lunar science data. Users also have access to a set of tools that visualize, analyze and annotate the data. These services are developed according to industry standards for data access and manipulation, such REST and Open Geospatial Consortium (OGC) web services. As a result, users can access the datasets through custom written applications or off-the-shelf applications such as Google Earth. Even though it's currently used to store and process lunar data, this web portal infrastructure has been designed to support other solar system bodies such as asteroids and planets, including Earth. The infrastructure uses a combination of custom, commercial, and open-source software as well as off-the-shelf hardware and pay-by-use cloud computing services. The use of standardized web service interfaces facilitates platform and application-independent access to the services and data. For instance, we have software clients for the LMMP portal that provide a rich browsing and analysis experience from a variety of platforms including iOS and Android mobile platforms and large screen multi-touch displays with 3-D terrain viewing functions. The service-oriented architecture and design principles utilized in the implementation of the portal lends itself to be reusable and scalable and could naturally be extended to include a collaborative environment that enables scientists and principal investigators to share their research and analysis seamlessly. In addition, this extension will allow users to easily share their tools and data, and to enrich their mapping and analysis experiences. In this talk, we will describe the advanced data management and portal technologies used to power this collaborative environment. We will further illustrate how this environment can enable, enhance and advance global monitoring and climate research.

The 2nd Generation Real Time Mission Monitor (RTMM) Development

NASA Technical Reports Server (NTRS)

Blakeslee, Richard; Goodman, Michael; Meyer, Paul; Hardin, Danny; Hall, John; He, Yubin; Regner, Kathryn; Conover, Helen; Smith, Tammy; Lu, Jessica;

Digital Geological Mapping for Earth Science Students

NASA Astrophysics Data System (ADS)

England, Richard; Smith, Sally; Tate, Nick; Jordan, Colm

2010-05-01

This SPLINT (SPatial Literacy IN Teaching) supported project is developing pedagogies for the introduction of teaching of digital geological mapping to Earth Science students. Traditionally students are taught to make geological maps on a paper basemap with a notebook to record their observations. Learning to use a tablet pc with GIS based software for mapping and data recording requires emphasis on training staff and students in specific GIS and IT skills and beneficial adjustments to the way in which geological data is recorded in the field. A set of learning and teaching materials are under development to support this learning process. Following the release of the British Geological Survey's Sigma software we have been developing generic methodologies for the introduction of digital geological mapping to students that already have experience of mapping by traditional means. The teaching materials introduce the software to the students through a series of structured exercises. The students learn the operation of the software in the laboratory by entering existing observations, preferably data that they have collected. Through this the students benefit from being able to reflect on their previous work, consider how it might be improved and plan new work. Following this they begin fieldwork in small groups using both methods simultaneously. They are able to practise what they have learnt in the classroom and review the differences, advantages and disadvantages of the two methods, while adding to the work that has already been completed. Once the field exercises are completed students use the data that they have collected in the production of high quality map products and are introduced to the use of integrated digital databases which they learn to search and extract information from. The relatively recent development of the technologies which underpin digital mapping also means that many academic staff also require training before they are able to deliver the course materials. Consequently, a set of staff training materials are being developed in parallel to those for the students. These focus on the operation of the software and an introduction to the structure of the exercises. The presentation will review the teaching exercises and student and staff responses to their introduction.

European Plate Observing System - Norway (EPOS-N): A National Consortium for the Norwegian Implementation of EPOS

NASA Astrophysics Data System (ADS)

Atakan, Kuvvet; Tellefsen, Karen

2017-04-01

The European Plate Observing System (EPOS) aims to create a pan-European infrastructure for solid Earth science to support a safe and sustainable society. The main vision of the European Plate Observing System (EPOS) is to address the three basic challenges in Earth Science: (i) unravelling the Earth's deformational processes which are part of the Earth system evolution in time, (ii) understanding geo-hazards and their implications to society, and (iii) contributing to the safe and sustainable use of geo-resources. The mission of EPOS-Norway is therefore in line with the European vision of EPOS, i.e. monitor and understand the dynamic and complex Earth system by relying on new e-science opportunities and integrating diverse and advanced Research Infrastructures for solid Earth science. The EPOS-Norway project started in January 2016 with a national consortium consisting of six institutions. These are: University of Bergen (Coordinator), NORSAR, National Mapping Authority, Geological Survey of Norway, Christian Michelsen Research and University of Oslo. EPOS-N will during the next five years focus on the implementation of three main components. These are: (i) Developing a Norwegian e-Infrastructure to integrate the Norwegian Solid Earth data from the seismological and geodetic networks, as well as the data from the geological and geophysical data repositories, (ii) Improving the monitoring capacity in the Arctic, including Northern Norway and the Arctic islands, and (iii) Establishing a national Solid Earth Science Forum providing a constant feedback mechanism for improved integration of multidisciplinary data, as well as training of young scientists for future utilization of all available solid Earth observational data through a single e-infrastructure. Currently, a list of data, data products, software and services (DDSS) is being prepared. These elements will be integrated in the EPOS-N data/web-portal, which will allow users to browse, select and download relevant data for solid Earth science research. In addition to the standard data and data products such as seismological, geodetic, geomagnetic and geological data, there are a number of non-standard data and data products that will be integrated. In parallel, advanced visualization technologies are being implemented, which will provide a platform for a possible future ICS-D (distributed components of the Integrated Core Services) for EPOS. In order to enhance the monitoring capacity in the Arctic, planning and site selection process for the new instrument installations are well underway, as well as the procurement of the required equipment. In total, 17 new seismological and geodetic stations will be co-located in selected sites in Northern Norway, Jan Mayen and Svalbard. In addition, a seismic array with 9 nodes will be installed on Bear Island. A planned aeromagnetic survey along the Knipovich Ridge is being conducted this year, which will give new insights to the tectonic development of the mid-ocean ridge systems in the North Atlantic.

Geoinformatics 2008 - Data to Knowledge

USGS Publications Warehouse

Brady, Shailaja R.; Sinha, A. Krishna; Gundersen, Linda C.

2008-01-01

Geoinformatics is the term used to describe a variety of efforts to promote collaboration between the computer sciences and the geosciences to solve complex scientific questions. It refers to the distributed, integrated digital information system and working environment that provides innovative means for the study of the Earth systems, as well as other planets, through use of advanced information technologies. Geoinformatics activities range from major research and development efforts creating new technologies to provide high-quality, sustained production-level services for data discovery, integration and analysis, to small, discipline-specific efforts that develop earth science data collections and data analysis tools serving the needs of individual communities. The ultimate vision of Geoinformatics is a highly interconnected data system populated with high quality, freely available data, as well as, a robust set of software for analysis, visualization, and modeling. This volume is a collection of extended abstracts for oral papers presented at the Geoinformatics 2008 conference, June 11 and 13, 2008, in Potsdam, Germany.

The OpenEarth Framework (OEF) for the 3D Visualization of Integrated Earth Science Data

NASA Astrophysics Data System (ADS)

Nadeau, David; Moreland, John; Baru, Chaitan; Crosby, Chris

2010-05-01

Data integration is increasingly important as we strive to combine data from disparate sources and assemble better models of the complex processes operating at the Earth's surface and within its interior. These data are often large, multi-dimensional, and subject to differing conventions for data structures, file formats, coordinate spaces, and units of measure. When visualized, these data require differing, and sometimes conflicting, conventions for visual representations, dimensionality, symbology, and interaction. All of this makes the visualization of integrated Earth science data particularly difficult. The OpenEarth Framework (OEF) is an open-source data integration and visualization suite of applications and libraries being developed by the GEON project at the University of California, San Diego, USA. Funded by the NSF, the project is leveraging virtual globe technology from NASA's WorldWind to create interactive 3D visualization tools that combine and layer data from a wide variety of sources to create a holistic view of features at, above, and beneath the Earth's surface. The OEF architecture is open, cross-platform, modular, and based upon Java. The OEF's modular approach to software architecture yields an array of mix-and-match software components for assembling custom applications. Available modules support file format handling, web service communications, data management, user interaction, and 3D visualization. File parsers handle a variety of formal and de facto standard file formats used in the field. Each one imports data into a general-purpose common data model supporting multidimensional regular and irregular grids, topography, feature geometry, and more. Data within these data models may be manipulated, combined, reprojected, and visualized. The OEF's visualization features support a variety of conventional and new visualization techniques for looking at topography, tomography, point clouds, imagery, maps, and feature geometry. 3D data such as seismic tomography may be sliced by multiple oriented cutting planes and isosurfaced to create 3D skins that trace feature boundaries within the data. Topography may be overlaid with satellite imagery, maps, and data such as gravity and magnetics measurements. Multiple data sets may be visualized simultaneously using overlapping layers within a common 3D coordinate space. Data management within the OEF handles and hides the inevitable quirks of differing file formats, web protocols, storage structures, coordinate spaces, and metadata representations. Heuristics are used to extract necessary metadata used to guide data and visual operations. Derived data representations are computed to better support fluid interaction and visualization while the original data is left unchanged in its original form. Data is cached for better memory and network efficiency, and all visualization makes use of 3D graphics hardware support found on today's computers. The OpenEarth Framework project is currently prototyping the software for use in the visualization, and integration of continental scale geophysical data being produced by EarthScope-related research in the Western US. The OEF is providing researchers with new ways to display and interrogate their data and is anticipated to be a valuable tool for future EarthScope-related research.

VIVO Open Source Software: Connecting Facilities to Promote Discovery and Further Research.

NASA Astrophysics Data System (ADS)

Gross, M. B.; Rowan, L. R.; Mayernik, M. S.; Daniels, M. D.; Stott, D.; Allison, J.; Maull, K. E.; Krafft, D. B.; Khan, H.

2016-12-01

EarthCollab (http://earthcube.org/group/earthcollab), a National Science Foundation (NSF) EarthCube Building Block project, has adapted an open source semantic web application, VIVO, for use within the earth science domain. EarthCollab is a partnership between UNAVCO, an NSF facility supporting research through geodetic services, the Earth Observing Laboratory (EOL) at the National Center for Atmospheric Research (NCAR), and Cornell University, where VIVO was created to highlight the scholarly output of researchers at universities. Two public sites have been released: Connect UNAVCO (connect.unavco.org) and Arctic Data Connects (vivo.eol.ucar.edu). The core VIVO software and ontology have been extended to work better with concepts necessary for capturing work within UNAVCO's and EOL's province such as principal investigators for continuous GPS/GNSS stations at UNAVCO and keywords describing cruise datasets at EOL. The sites increase discoverability of large and diverse data archives by linking data with people, research, and field projects. Disambiguation is a major challenge when using VIVO and open data when "anyone can say anything about anything." Concepts and controlled vocabularies help to build consistent and easily searchable connections within VIVO. We use aspects of subject heading services such as FAST and LOC, as well as AGU and GSA fields of research and subject areas to reveal connections, especially with VIVO instances at other institutions. VIVO works effectively with persistent IDs and the projects strive to utilize publication and data DOIs, ORCIDs for people, and ISNI and GRID for organizations. ORCID, an open source project, is very useful for disambiguation and unlike other identifier systems for people developed by publishers, makes public data available via an API. VIVO utilizes Solr and Freemarker, which are open source search engine and templating technologies, respectively. Additionally, a handful of popular open source libraries and applications are being used in the project such as D3.js, jQuery, Leaflet, and Elasticsearch. Our implementation of these open source projects within VIVO is available for adaptation by other institutions using VIVO via GitHub (git.io/vG9AJ).

Enabling data access and interoperability at the EOS Land Processes Distributed Active Archive Center

NASA Astrophysics Data System (ADS)

Meyer, D. J.; Gallo, K. P.

2009-12-01

The NASA Earth Observation System (EOS) is a long-term, interdisciplinary research mission to study global-scale processes that drive Earth systems. This includes a comprehensive data and information system to provide Earth science researchers with easy, affordable, and reliable access to the EOS and other Earth science data through the EOS Data and Information System (EOSDIS). Data products from EOS and other NASA Earth science missions are stored at Distributed Active Archive Centers (DAACs) to support interactive and interoperable retrieval and distribution of data products. ¶ The Land Processes DAAC (LP DAAC), located at the US Geological Survey’s (USGS) Earth Resources Observation and Science (EROS) Center is one of the twelve EOSDIS data centers, providing both Earth science data and expertise, as well as a mechanism for interaction between EOS data investigators, data center specialists, and other EOS-related researchers. The primary mission of the LP DAAC is stewardship for land data products from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on the Terra and Aqua observation platforms. The co-location of the LP DAAC at EROS strengthens the relationship between the EOSDIS and USGS Earth science activities, linking the basic research and technology development mission of NASA to the operational mission requirements of the USGS. This linkage, along with the USGS’ role as steward of land science data such as the Landsat archive, will prove to be especially beneficial when extending both USGS and EOSDIS data records into the Decadal Survey era. ¶ This presentation provides an overview of the evolution of LP DAAC efforts over the years to improve data discovery, retrieval and preparation services, toward a future of integrated data interoperability between EOSDIS data centers and data holdings of the USGS and its partner agencies. Historical developmental case studies are presented, including the MODIS Reprojection Tool (MRT), the scheduling of ASTER for emergency response, the inclusion of Landsat metadata in the EOS Clearinghouse (ECHO), and the distribution of a global digital elevation model (GDEM) developed from ASTER. A software re-use case study describes integrating the MRT and the USGS Global Visualization tool (GloVis) into the MRTWeb service, developed to provide on-the-fly reprojection and reformatting of MODIS land products. Current LP DAAC activities are presented, such as the Open geographic information systems (GIS) Consortium (OGC) services provided in support of NASA’s Making Earth Science Data Records for Use in Research Environments (MEaSUREs). Near-term opportunities are discussed, such as the design and development of services in support of the soon-to-be completed on-line archive of all LP DAAC ASTER and MODIS data products. Finally, several case studies for future tools are services are explored, such as bringing algorithms to data centers, using the North American ASTER Land Emissivity Database as an example, as well as the potential for integrating data discovery and retrieval services for LP DAAC, Landsat and USGS Long-term Archive holdings.

Interplanetary space science data base and access/display tool on the NSSDC heliospheric CD-ROM

NASA Technical Reports Server (NTRS)

Papitashvili, N. E.; King, J. H.

1995-01-01

The National Space Science Data Center (NSSDC) has accumulated a rich archive of heliospheric, magnetospheric, and ionospheric data, as well as data from most other NASA-involved science disciplines. To facilitate access to and use of these data, NSSDC has begun to put selected data onto CD-ROM's. This paper describes one such CD-ROM, and the access and display software developed at NSSDC to support its use. The data on the CD-ROM consist primarily of hourly solar wind magnetic field and plasma data from many near-Earth spacecraft (OMNI) and deep space spacecraft (Voyagers, Pioneers, Helios, Pioneer Venus Orbiter). In addition, 5-minute resolution IMP-8 and ISEE-3 magnetic field and plasma data are also included. Data are stored in both ASCII and CDF formats.

Interactive Learning During Solar Maximum

NASA Technical Reports Server (NTRS)

Ashour-Abdalla, Maha; Curtis, Steven (Technical Monitor)

2001-01-01

The goal of this project is to develop and distribute e-educational material for space science during times of solar activity that emphasizes underlying basic science principles of solar disturbances and their effects on Earth. This includes materials such as simulations, animations, group projects and other on-line materials to be used by students either in high school or at the introductory college level. The on-line delivery tool originally intended to be used is known as Interactive Multimedia Education at a Distance (IMED), which is a web-based software system used at UCLA for interactive distance learning. IMED is a password controlled system that allows students to access text, images, bulletin boards, chat rooms, animation, simulations and individual student web sites to study science and to collaborate on group projects.

What do the data show? Fostering physical intuition with ClimateBits and NASA Earth Observations

NASA Astrophysics Data System (ADS)

Schollaert Uz, S.; Ward, K.

2017-12-01

Through data visualizations using global satellite imagery available in NASA Earth Observations (NEO), we explain Earth science concepts (e.g. albedo, urban heat island effect, phytoplankton). We also provide examples of ways to explore the satellite data in NEO within a new blog series. This is an ideal tool for scientists and non-scientists alike who want to quickly check satellite imagery for large scale features or patterns. NEO analysis requires no software or plug-ins; only a browser and an internet connection. You can even check imagery and perform simple analyses from your smart phone. NEO can be used to create graphics for presentations and papers or as a first step before acquiring data for more rigorous analysis. NEO has potential application to easily explore large scale environmental and climate patterns that impact operations and infrastructure. This is something we are currently exploring with end user groups.

Illuminating Northern California’s Active Faults

USGS Publications Warehouse

Prentice, Carol S.; Crosby, Christopher J.; Whitehill, Caroline S.; Arrowsmith, J. Ramon; Furlong, Kevin P.; Philips, David A.

2009-01-01

Newly acquired light detection and ranging (lidar) topographic data provide a powerful community resource for the study of landforms associated with the plate boundary faults of northern California (Figure 1). In the spring of 2007, GeoEarthScope, a component of the EarthScope Facility construction project funded by the U.S. National Science Foundation, acquired approximately 2000 square kilometers of airborne lidar topographic data along major active fault zones of northern California. These data are now freely available in point cloud (x, y, z coordinate data for every laser return), digital elevation model (DEM), and KMZ (zipped Keyhole Markup Language, for use in Google EarthTM and other similar software) formats through the GEON OpenTopography Portal (http://www.OpenTopography.org/data). Importantly, vegetation can be digitally removed from lidar data, producing high-resolution images (0.5- or 1.0-meter DEMs) of the ground surface beneath forested regions that reveal landforms typically obscured by vegetation canopy (Figure 2)

Packaging Software Assets for Reuse

NASA Astrophysics Data System (ADS)

Mattmann, C. A.; Marshall, J. J.; Downs, R. R.

2010-12-01

The reuse of existing software assets such as code, architecture, libraries, and modules in current software and systems development projects can provide many benefits, including reduced costs, in time and effort, and increased reliability. Many reusable assets are currently available in various online catalogs and repositories, usually broken down by disciplines such as programming language (Ibiblio for Maven/Java developers, PyPI for Python developers, CPAN for Perl developers, etc.). The way these assets are packaged for distribution can play a role in their reuse - an asset that is packaged simply and logically is typically easier to understand, install, and use, thereby increasing its reusability. A well-packaged asset has advantages in being more reusable and thus more likely to provide benefits through its reuse. This presentation will discuss various aspects of software asset packaging and how they can affect the reusability of the assets. The characteristics of well-packaged software will be described. A software packaging domain model will be introduced, and some existing packaging approaches examined. An example case study of a Reuse Enablement System (RES), currently being created by near-term Earth science decadal survey missions, will provide information about the use of the domain model. Awareness of these factors will help software developers package their reusable assets so that they can provide the most benefits for software reuse.

Design and implementation of a prototype data system for earth radiation budget, cloud, aerosol, and chemistry data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Baum, B.A.; Barkstrom, B.R.

1993-04-01

The Earth Observing System (EOS) will collect data from a large number of satellite-borne instruments, beginning later in this decade, to make data accessible to the scientific community, NASA will build an EOS Data and Information System (EOSDIS). As an initial effort to accelerate the development of EOSDIS and to gain experience with such an information system, NASA and other agencies are working on a prototype system called Version O (VO). This effort will provide improved access to pre-EOS earth science data throughout the early EOSDIS period. Based on recommendations from the EOSDIS Science Advisory Panel, EOSDIS will have severalmore » distributed active archive centers (DAACs). Each DAAC will specialize in particular data sets. This paper describes work at the NASA Langley Research Center's (LaRC) DAAC. The Version 0 Langley DAAC began archiving and distributing existing data sets pertaining to the earth's radiation budget, clouds, aerosols, and tropospheric chemistry in late 1992. The primary goals of the LaRC VO effort are the following: (1) Enhance scientific use of existing data; (2) Develop institutional expertise in maintaining and distributing data; (3) Use institutional capability for processing data from previous missions such as the Earth Radiation Budget Experiment and the Stratospheric Aerosol and Gas Experiment to prepare for processing future EOS satellite data; (4) Encourage cooperative interagency and international involvement with data sets and research; and (5) Incorporate technological hardware and software advances quickly.« less

The optical antenna system design research on earth integrative network laser link in the future

NASA Astrophysics Data System (ADS)

Liu, Xianzhu; Fu, Qiang; He, Jingyi

2014-11-01

Earth integrated information network can be real-time acquisition, transmission and processing the spatial information with the carrier based on space platforms, such as geostationary satellites or in low-orbit satellites, stratospheric balloons or unmanned and manned aircraft, etc. It is an essential infrastructure for China to constructed earth integrated information network. Earth integrated information network can not only support the highly dynamic and the real-time transmission of broadband down to earth observation, but the reliable transmission of the ultra remote and the large delay up to the deep space exploration, as well as provide services for the significant application of the ocean voyage, emergency rescue, navigation and positioning, air transportation, aerospace measurement or control and other fields.Thus the earth integrated information network can expand the human science, culture and productive activities to the space, ocean and even deep space, so it is the global research focus. The network of the laser communication link is an important component and the mean of communication in the earth integrated information network. Optimize the structure and design the system of the optical antenna is considered one of the difficulty key technologies for the space laser communication link network. Therefore, this paper presents an optical antenna system that it can be used in space laser communication link network.The antenna system was consisted by the plurality mirrors stitched with the rotational paraboloid as a substrate. The optical system structure of the multi-mirror stitched was simulated and emulated by the light tools software. Cassegrain form to be used in a relay optical system. The structural parameters of the relay optical system was optimized and designed by the optical design software of zemax. The results of the optimal design and simulation or emulation indicated that the antenna system had a good optical performance and a certain reference value in engineering. It can provide effective technical support to realize interconnection of earth integrated laser link information network in the future.

Moving Virtual Research Environments from high maintenance Stovepipes to Multi-purpose Sustainable Service-oriented Science Platforms

NASA Astrophysics Data System (ADS)

Klump, Jens; Fraser, Ryan; Wyborn, Lesley; Friedrich, Carsten; Squire, Geoffrey; Barker, Michelle; Moloney, Glenn

2017-04-01

The researcher of today is likely to be part of a team distributed over multiple sites that will access data from an external repository and then process the data on a public or private cloud or even on a large centralised supercomputer. They are increasingly likely to use a mixture of their own code, third party software and libraries, or even access global community codes. These components will be connected into a Virtual Research Environments (VREs) that will enable members of the research team who are not co-located to actively work together at various scales to share data, models, tools, software, workflows, best practices, infrastructures, etc. Many VRE's are built in isolation: designed to meet a specific research program with components tightly coupled and not capable of being repurposed for other use cases - they are becoming 'stovepipes'. The limited number of users of some VREs also means that the cost of maintenance per researcher can be unacceptably high. The alternative is to develop service-oriented Science Platforms that enable multiple communities to develop specialised solutions for specific research programs. The platforms can offer access to data, software tools and processing infrastructures (cloud, supercomputers) through globally distributed, interconnected modules. In Australia, the Virtual Geophysics Laboratory (VGL) was initially built to enable a specific set of researchers in government agencies access to specific data sets and a limited number of tools, that is now rapidly evolving into a multi-purpose Earth science platform with access to an increased variety of data, a broader range of tools, users from more sectors and a diversity of computational infrastructures. The expansion has been relatively easy, because of the architecture whereby data, tools and compute resources are loosely coupled via interfaces that are built on international standards and accessed as services wherever possible. In recent years, investments in discoverability and accessibility of data via online services in Australia mean that data resources can be easily added to the virtual environments as and when required. Another key to increasing to reusability and uptake of the VRE is the capability to capturing workflows so that they can be reused and repurposed both within and beyond the community that that defined the original use case. Unfortunately, Software-as-a-Service in the research sector is not yet mature. In response, we developed a Scientific Software solutions Center (SSSC) that enables researchers to discover, deploy and then share computational codes, code snippets or processes both in a human and machine-readable manner. Growth has come not only from within the Earth science community but from the Australian Virtual Laboratory community which is building VREs for a diversity of communities such as astronomy, genomics, environment, humanities, climate etc. Components such as access control, provenance, visualisation, accounting etc. are common to all scientific domains and sharing of these across multiple domains reduces costs, but more importantly increases the ability to undertake interdisciplinary science. These efforts are transitioning VREs to more sustainable Service-oriented Science Platforms that can be delivered in an agile, adaptable manner for broader community interests.

The SpaceCube Family of Hybrid On-Board Science Data Processors: An Update

NASA Astrophysics Data System (ADS)

Flatley, T.

2012-12-01

SpaceCube is an FPGA based on-board hybrid science data processing system developed at the NASA Goddard Space Flight Center (GSFC). The goal of the SpaceCube program is to provide 10x to 100x improvements in on-board computing power while lowering relative power consumption and cost. The SpaceCube design strategy incorporates commercial rad-tolerant FPGA technology and couples it with an upset mitigation software architecture to provide "order of magnitude" improvements in computing power over traditional rad-hard flight systems. Many of the missions proposed in the Earth Science Decadal Survey (ESDS) will require "next generation" on-board processing capabilities to meet their specified mission goals. Advanced laser altimeter, radar, lidar and hyper-spectral instruments are proposed for at least ten of the ESDS missions, and all of these instrument systems will require advanced on-board processing capabilities to facilitate the timely conversion of Earth Science data into Earth Science information. Both an "order of magnitude" increase in processing power and the ability to "reconfigure on the fly" are required to implement algorithms that detect and react to events, to produce data products on-board for applications such as direct downlink, quick look, and "first responder" real-time awareness, to enable "sensor web" multi-platform collaboration, and to perform on-board "lossless" data reduction by migrating typical ground-based processing functions on-board, thus reducing on-board storage and downlink requirements. This presentation will highlight a number of SpaceCube technology developments to date and describe current and future efforts, including the collaboration with the U.S. Department of Defense - Space Test Program (DoD/STP) on the STP-H4 ISS experiment pallet (launch June 2013) that will demonstrate SpaceCube 2.0 technology on-orbit.; ;

Activities involving aeronautical, space science, and technology support for minority institutions

NASA Technical Reports Server (NTRS)

1993-01-01

The Final Report addressed the activities with which the Interracial Council for Business Opportunity (ICBO) was involved over the past 12 months. ICBO was involved in the design and development of a CARES Student Tracking System Software (CARES). Cares is intended to provide an effective means of maintaining relevant current and historical information on NASA-funded students through a range of educational program initiatives. ICBP was extensively involved in the formation of a minority university consortium amd implementation of collaborative research activities by the consortium as part of NASA's Mission to Planet Earth/Earth Observing System. ICBO was involved in the formation of an HBCU/MI Consortium to facilitate technology transfer efforts to the small and minority business community in their respective regions.

TerraLook: GIS-Ready Time-Series of Satellite Imagery for Monitoring Change

USGS Publications Warehouse

,

2008-01-01

TerraLook is a joint project of the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) with a goal of providing satellite images that anyone can use to see changes in the Earth's surface over time. Each TerraLook product is a user-specified collection of satellite images selected from imagery archived at the USGS Earth Resources Observation and Science (EROS) Center. Images are bundled with standards-compliant metadata, a world file, and an outline of each image's ground footprint, enabling their use in geographic information systems (GIS), image processing software, and Web mapping applications. TerraLook images are available through the USGS Global Visualization Viewer (http://glovis.usgs.gov).

Distributed visualization of gridded geophysical data: the Carbon Data Explorer, version 0.2.3

NASA Astrophysics Data System (ADS)

Endsley, K. A.; Billmire, M. G.

2016-01-01

Due to the proliferation of geophysical models, particularly climate models, the increasing resolution of their spatiotemporal estimates of Earth system processes, and the desire to easily share results with collaborators, there is a genuine need for tools to manage, aggregate, visualize, and share data sets. We present a new, web-based software tool - the Carbon Data Explorer - that provides these capabilities for gridded geophysical data sets. While originally developed for visualizing carbon flux, this tool can accommodate any time-varying, spatially explicit scientific data set, particularly NASA Earth system science level III products. In addition, the tool's open-source licensing and web presence facilitate distributed scientific visualization, comparison with other data sets and uncertainty estimates, and data publishing and distribution.

NASA Ames 2016 Highlights

NASA Image and Video Library

2016-12-28

2016 presented the opportunity for NASA's Ames Research Center to meet its challenges and opportunities head on. Projects ranged from testing the next generation of air traffic control software to studying the stars of our galaxy. From developing life science experiments that flew aboard the International Space Station to helping protect our planet through airborne Earth observation campaigns. NASA's missions and programs are challenging and the people at NASA Ames Research Center continue to reach new heights and reveal the unknown for the benefit of all humankind!

GRIP Experiment 2010

NASA Image and Video Library

2010-08-14

Jeffrey Beyon, left, and Paul Joseph Petzar, right, from NASA's Langley Research Center, work with DAWN Air Data Acquisition and Processing software aboard NASA's DC-8 research aircraft, Sunday, Aug. 15, 2010, in support of the GRIP experiment at Fort Lauderdale International Airport in Fort Lauderdale, Fla. The Genesis and Rapid Intensification Processes (GRIP) experiment is a NASA Earth science field experiment in 2010 that is being conducted to better understand how tropical storms form and develop into major hurricanes. Photo Credit: (NASA/Paul E. Alers)

Advanced earth observation spacecraft computer-aided design software: Technical, user and programmer guide

NASA Technical Reports Server (NTRS)

Farrell, C. E.; Krauze, L. D.

1983-01-01

The IDEAS computer of NASA is a tool for interactive preliminary design and analysis of LSS (Large Space System). Nine analysis modules were either modified or created. These modules include the capabilities of automatic model generation, model mass properties calculation, model area calculation, nonkinematic deployment modeling, rigid-body controls analysis, RF performance prediction, subsystem properties definition, and EOS science sensor selection. For each module, a section is provided that contains technical information, user instructions, and programmer documentation.

Software for Displaying Data from Planetary Rovers

NASA Technical Reports Server (NTRS)

Powell, Mark; Backers, Paul; Norris, Jeffrey; Vona, Marsette; Steinke, Robert

2003-01-01

Science Activity Planner (SAP) DownlinkBrowser is a computer program that assists in the visualization of processed telemetric data [principally images, image cubes (that is, multispectral images), and spectra] that have been transmitted to Earth from exploratory robotic vehicles (rovers) on remote planets. It is undergoing adaptation to (1) the Field Integrated Design and Operations (FIDO) rover (a prototype Mars-exploration rover operated on Earth as a test bed) and (2) the Mars Exploration Rover (MER) mission. This program has evolved from its predecessor - the Web Interface for Telescience (WITS) software - and surpasses WITS in the processing, organization, and plotting of data. SAP DownlinkBrowser creates Extensible Markup Language (XML) files that organize data files, on the basis of content, into a sortable, searchable product database, without the overhead of a relational database. The data-display components of SAP DownlinkBrowser (descriptively named ImageView, 3DView, OrbitalView, PanoramaView, ImageCubeView, and SpectrumView) are designed to run in a memory footprint of at least 256MB on computers that utilize the Windows, Linux, and Solaris operating systems.

The MY NASA DATA Project: Tools and a Collaboration Space for Knowledge Discovery

NASA Astrophysics Data System (ADS)

Chambers, L. H.; Alston, E. J.; Diones, D. D.; Moore, S. W.; Oots, P. C.; Phelps, C. S.

2006-05-01

The Atmospheric Science Data Center (ASDC) at NASA Langley Research Center is charged with serving a wide user community that is interested in its large data holdings in the areas of Aerosols, Clouds, Radiation Budget, and Tropospheric Chemistry. Most of the data holdings, however, are in large files with specialized data formats. The MY NASA DATA (mynasadata.larc.nasa.gov) project began in 2004, as part of the NASA Research, Education, and Applications Solutions Network (REASoN), in order to open this important resource to a broader community including K-12 education and citizen scientists. MY NASA DATA (short for Mentoring and inquirY using NASA Data on Atmospheric and earth science for Teachers and Amateurs) consists of a web space that collects tools, lesson plans, and specially developed documentation to help the target audience more easily use the vast collection of NASA data about the Earth System. The core piece of the MY NASA DATA project is the creation of microsets (both static and custom) that make data easily accessible. The installation of a Live Access Server (LAS) greatly enhanced the ability for teachers, students, and citizen scientists to create and explore custom microsets of Earth System Science data. The LAS, which is an open source software tool using emerging data standards, also allows the MY NASA DATA team to make available data on other aspects of the Earth System from collaborating data centers. We are currently working with the Physical Oceanography DAAC at the Jet Propulsion Laboratory to bring in several parameters describing the ocean. In addition, MY NASA DATA serves as a central space for the K-12 community to share resources. The site already includes a dozen User-contributed lesson plans. This year we will be focusing on the Citizen Science portion of the site, and will be welcoming user-contributed project ideas, as well as reports of completed projects. An e-mentor network has also been created to involve a wider community in answering questions on scientific and pedagogical aspects of data use. The MY NASA DATA website, and an initial collection of lesson plans, have passed the NASA Earth Science Education peer review process, and thus are also being cataloged in the Digital Library for Earth System Education (DLESE).

Evaluating Cloud Computing in the Proposed NASA DESDynI Ground Data System

NASA Technical Reports Server (NTRS)

Tran, John J.; Cinquini, Luca; Mattmann, Chris A.; Zimdars, Paul A.; Cuddy, David T.; Leung, Kon S.; Kwoun, Oh-Ig; Crichton, Dan; Freeborn, Dana

2011-01-01

The proposed NASA Deformation, Ecosystem Structure and Dynamics of Ice (DESDynI) mission would be a first-of-breed endeavor that would fundamentally change the paradigm by which Earth Science data systems at NASA are built. DESDynI is evaluating a distributed architecture where expert science nodes around the country all engage in some form of mission processing and data archiving. This is compared to the traditional NASA Earth Science missions where the science processing is typically centralized. What's more, DESDynI is poised to profoundly increase the amount of data collection and processing well into the 5 terabyte/day and tens of thousands of job range, both of which comprise a tremendous challenge to DESDynI's proposed distributed data system architecture. In this paper, we report on a set of architectural trade studies and benchmarks meant to inform the DESDynI mission and the broader community of the impacts of these unprecedented requirements. In particular, we evaluate the benefits of cloud computing and its integration with our existing NASA ground data system software called Apache Object Oriented Data Technology (OODT). The preliminary conclusions of our study suggest that the use of the cloud and OODT together synergistically form an effective, efficient and extensible combination that could meet the challenges of NASA science missions requiring DESDynI-like data collection and processing volumes at reduced costs.

Eighth International Workshop on Laser Ranging Instrumentation

NASA Technical Reports Server (NTRS)

Degnan, John J. (Compiler)

1993-01-01

The Eighth International Workshop for Laser Ranging Instrumentation was held in Annapolis, Maryland in May 1992, and was sponsored by the NASA Goddard Space Flight Center in Greenbelt, Maryland. The workshop is held once every 2 to 3 years under differing institutional sponsorship and provides a forum for participants to exchange information on the latest developments in satellite and lunar laser ranging hardware, software, science applications, and data analysis techniques. The satellite laser ranging (SLR) technique provides sub-centimeter precision range measurements to artificial satellites and the Moon. The data has application to a wide range of Earth and lunar science issues including precise orbit determination, terrestrial reference frames, geodesy, geodynamics, oceanography, time transfer, lunar dynamics, gravity and relativity.

Robotic Assembly of Truss Structures for Space Systems and Future Research Plans

NASA Technical Reports Server (NTRS)

Doggett, William

2002-01-01

Many initiatives under study by both the space science and earth science communities require large space systems, i.e. with apertures greater than 15 m or dimensions greater than 20 m. This paper reviews the effort in NASA Langley Research Center's Automated Structural Assembly Laboratory which laid the foundations for robotic construction of these systems. In the Automated Structural Assembly Laboratory reliable autonomous assembly and disassembly of an 8 meter planar structure composed of 102 truss elements covered by 12 panels was demonstrated. The paper reviews the hardware and software design philosophy which led to reliable operation during weeks of near continuous testing. Special attention is given to highlight the features enhancing assembly reliability.

Reviews

NASA Astrophysics Data System (ADS)

2008-03-01

WE RECOMMEND Doomsday Men: the Real Dr Strangelove and the Dream of the Superweapon The relationship between scientists and ethics is explored in this fascinating history of superweaponry RAF Real-life Science A CD-ROM that combines physics activities and careers advice Seismology A booklet that covers seismology for the classroom thoroughly Ice, Rock, and Beauty: a Visual Tour of the New Solar System A beautiful book on a beautiful subject Leicester Height Measure A surprisingly multipurpose piece of equipment Learning Science Teaching: Developing a Professional Knowledge Base A study of how to become an expert science teacher Nova 5000EX A tablet PC ready-loaded with all of the software you need Seismometer Modelling Kit A useful and cheap demonstration of seismology Vibration Detector Basic equipment for measuring vibrations is very welcome Seismometer System This more advanced seismology kit is worth the price-tag WEB WATCH Gary Williams trawls the net for Earth science classroom aids

Educational process in modern climatology within the web-GIS platform "Climate"

NASA Astrophysics Data System (ADS)

Gordova, Yulia; Gorbatenko, Valentina; Gordov, Evgeny; Martynova, Yulia; Okladnikov, Igor; Titov, Alexander; Shulgina, Tamara

2013-04-01

These days, common to all scientific fields the problem of training of scientists in the environmental sciences is exacerbated by the need to develop new computational and information technology skills in distributed multi-disciplinary teams. To address this and other pressing problems of Earth system sciences, software infrastructure for information support of integrated research in the geosciences was created based on modern information and computational technologies and a software and hardware platform "Climate» (http://climate.scert.ru/) was developed. In addition to the direct analysis of geophysical data archives, the platform is aimed at teaching the basics of the study of changes in regional climate. The educational component of the platform includes a series of lectures on climate, environmental and meteorological modeling and laboratory work cycles on the basics of analysis of current and potential future regional climate change using Siberia territory as an example. The educational process within the Platform is implemented using the distance learning system Moodle (www.moodle.org). This work is partially supported by the Ministry of education and science of the Russian Federation (contract #8345), SB RAS project VIII.80.2.1, RFBR grant #11-05-01190a, and integrated project SB RAS #131.

Implementing the HDF-EOS5 software library for data products in the UNAVCO InSAR archive

NASA Astrophysics Data System (ADS)

Baker, Scott; Meertens, Charles; Crosby, Christopher

2017-04-01

UNAVCO is a non-profit university-governed consortium that operates the U.S. National Science Foundation (NSF) Geodesy Advancing Geosciences and EarthScope (GAGE) facility and provides operational support to the Western North America InSAR Consortium (WInSAR). The seamless synthetic aperture radar archive (SSARA) is a seamless distributed access system for SAR data and higher-level data products. Under the NASA-funded SSARA project, a user-contributed InSAR archive for interferograms, time series, and other derived data products was developed at UNAVCO. The InSAR archive development has led to the adoption of the HDF-EOS5 data model, file format, and library. The HDF-EOS software library was designed to support NASA Earth Observation System (EOS) science data products and provides data structures for radar geometry (Swath) and geocoded (Grid) data based on the HDF5 data model and file format provided by the HDF Group. HDF-EOS5 inherits the benefits of HDF5 (open-source software support, internal compression, portability, support for structural data, self-describing file metadata enhanced performance, and xml support) and provides a way to standardize InSAR data products. Instrument- and datatype-independent services, such as subsetting, can be applied to files across a wide variety of data products through the same library interface. The library allows integration with GIS software packages such as ArcGIS and GDAL, conversion to other data formats like NetCDF and GeoTIFF, and is extensible with new data structures to support future requirements. UNAVCO maintains a GitHub repository that provides example software for creating data products from popular InSAR processing software packages like GMT5SAR and ISCE as well as examples for reading and converting the data products into other formats. Digital object identifiers (DOI) have been incorporated into the InSAR archive allowing users to assign a permanent location for their processed result and easily reference the final data products. A metadata attribute is added to the HDF-EOS5 file when a DOI is minted for a data product. These data products are searchable through the SSARA federated query providing access to processed data for both expert and non-expert InSAR users. The archive facilitates timely distribution of processed data with particular importance for geohazards and event response.

KML-Based Access and Visualization of High Resolution LiDAR Topography

NASA Astrophysics Data System (ADS)

Crosby, C. J.; Blair, J. L.; Nandigam, V.; Memon, A.; Baru, C.; Arrowsmith, J. R.

2008-12-01

Over the past decade, there has been dramatic growth in the acquisition of LiDAR (Light Detection And Ranging) high-resolution topographic data for earth science studies. Capable of providing digital elevation models (DEMs) more than an order of magnitude higher resolution than those currently available, LiDAR data allow earth scientists to study the processes that contribute to landscape evolution at resolutions not previously possible yet essential for their appropriate representation. These datasets also have significant implications for earth science education and outreach because they provide an accurate representation of landforms and geologic hazards. Unfortunately, the massive volume of data produced by LiDAR mapping technology can be a barrier to their use. To make these data available to a larger user community, we have been exploring the use of Keyhole Markup Language (KML) and Google Earth to provide access to LiDAR data products and visualizations. LiDAR digital elevation models are typically delivered in a tiled format that lends itself well to a KML-based distribution system. For LiDAR datasets hosted in the GEON OpenTopography Portal (www.opentopography.org) we have developed KML files that show the extent of available LiDAR DEMs and provide direct access to the data products. Users interact with these KML files to explore the extent of the available data and are able to select DEMs that correspond to their area of interest. Selection of a tile loads a download that the user can then save locally for analysis in their software of choice. The GEON topography system also has tools available that allow users to generate custom DEMs from LiDAR point cloud data. This system is powerful because it enables users to access massive volumes of raw LiDAR data and to produce DEM products that are optimized to their science applications. We have developed a web service that converts the custom DEM models produced by the system to a hillshade that is delivered to the user as a KML groundoverlay. The KML product enables users to quickly and easily visualize the DEMs in Google Earth. By combining internet-based LiDAR data processing with KML visualization products, users are able to execute computationally intensive data sub-setting, processing and visualization without having local access to computing resources, GIS software, or data processing expertise. Finally, GEON has partnered with the US Geological Survey to generate region-dependant network linked KML visualizations for large volumes of LiDAR derived hillshades of the Northern San Andreas fault system. These data, acquired by the NSF-funded GeoEarthScope project, offer an unprecedented look at active faults in the northern portion of the San Andreas system. Through the region-dependant network linked KML, users can seamlessly access 1 meter hillshades (both 315 and 45 degree sun angles) for the full 1400 square kilometer dataset, without downloading huge volumes of data. This type of data access has great utility for users ranging from earthquake scientists to K-12 educators who wish to introduce cutting edge real world data into their earth science lessons.

The MY NASA DATA Project

NASA Technical Reports Server (NTRS)

Chambers, Lin H.; Alston, Erica J.; Diones, D. D.; Moore, S. W.; Oots, P. C.; Phelps, C. S.; Mims, Forrest M., III

2006-01-01

On the one hand, locating the right dataset, then figuring out how to use it, is a daunting task that is familiar to almost any scientist or graduate student in the fields of Earth system science. On the other hand, the ability to explore authentic Earth system science data, through inquiry-based education, is an important goal in US national education standards. Fortunately, in the digital age, tools are emerging that can make such data exploration commonplace at all educational levels. This paper describes the conception and development of one project that aims to bridge this gap: Mentoring and inquiry using NASA Data on Atmospheric and Earth science for Teachers and Amateurs (MY NASA DATA; mynasadata.larc.nasa.gov). With funding from NASA's Science Mission Directorate, this project was launched in early 2004 with the aim of developing microsets and identifying other enablers for making data accessible. A key feature of the project is a Live Access Server, the first educational implementation of this open source software, developed by NOAA, that makes it possible to explore multiple data formats through a single interface. This powerful tool is made more useful to the primary target audiences (K-12 and amateur scientists) through careful selection of the data offered, user-friendly explanations of the tool itself, and age-appropriate explanations of the parameters. However experience already shows that graduate students and even practicing scientists can also make use of this resource. The website also hosts teacher-contributed lesson plans, and seeks to feature reports of research projects that use the data.

Using Docker Containers to Extend Reproducibility Architecture for the NASA Earth Exchange (NEX)

NASA Technical Reports Server (NTRS)

Votava, Petr; Michaelis, Andrew; Spaulding, Ryan; Becker, Jeffrey C.

2016-01-01

NASA Earth Exchange (NEX) is a data, supercomputing and knowledge collaboratory that houses NASA satellite, climate and ancillary data where a focused community can come together to address large-scale challenges in Earth sciences. As NEX has been growing into a petabyte-size platform for analysis, experiments and data production, it has been increasingly important to enable users to easily retrace their steps, identify what datasets were produced by which process chains, and give them ability to readily reproduce their results. This can be a tedious and difficult task even for a small project, but is almost impossible on large processing pipelines. We have developed an initial reproducibility and knowledge capture solution for the NEX, however, if users want to move the code to another system, whether it is their home institution cluster, laptop or the cloud, they have to find, build and install all the required dependencies that would run their code. This can be a very tedious and tricky process and is a big impediment to moving code to data and reproducibility outside the original system. The NEX team has tried to assist users who wanted to move their code into OpenNEX on Amazon cloud by creating custom virtual machines with all the software and dependencies installed, but this, while solving some of the issues, creates a new bottleneck that requires the NEX team to be involved with any new request, updates to virtual machines and general maintenance support. In this presentation, we will describe a solution that integrates NEX and Docker to bridge the gap in code-to-data migration. The core of the solution is saemi-automatic conversion of science codes, tools and services that are already tracked and described in the NEX provenance system, to Docker - an open-source Linux container software. Docker is available on most computer platforms, easy to install and capable of seamlessly creating and/or executing any application packaged in the appropriate format. We believe this is an important step towards seamless process deployment in heterogeneous environments that will enhance community access to NASA data and tools in a scalable way, promote software reuse, and improve reproducibility of scientific results.

Using Docker Containers to Extend Reproducibility Architecture for the NASA Earth Exchange (NEX)

NASA Astrophysics Data System (ADS)

Votava, P.; Michaelis, A.; Spaulding, R.; Becker, J. C.

2016-12-01

NASA Earth Exchange (NEX) is a data, supercomputing and knowledge collaboratory that houses NASA satellite, climate and ancillary data where a focused community can come together to address large-scale challenges in Earth sciences. As NEX has been growing into a petabyte-size platform for analysis, experiments and data production, it has been increasingly important to enable users to easily retrace their steps, identify what datasets were produced by which process chains, and give them ability to readily reproduce their results. This can be a tedious and difficult task even for a small project, but is almost impossible on large processing pipelines. We have developed an initial reproducibility and knowledge capture solution for the NEX, however, if users want to move the code to another system, whether it is their home institution cluster, laptop or the cloud, they have to find, build and install all the required dependencies that would run their code. This can be a very tedious and tricky process and is a big impediment to moving code to data and reproducibility outside the original system. The NEX team has tried to assist users who wanted to move their code into OpenNEX on Amazon cloud by creating custom virtual machines with all the software and dependencies installed, but this, while solving some of the issues, creates a new bottleneck that requires the NEX team to be involved with any new request, updates to virtual machines and general maintenance support. In this presentation, we will describe a solution that integrates NEX and Docker to bridge the gap in code-to-data migration. The core of the solution is saemi-automatic conversion of science codes, tools and services that are already tracked and described in the NEX provenance system, to Docker - an open-source Linux container software. Docker is available on most computer platforms, easy to install and capable of seamlessly creating and/or executing any application packaged in the appropriate format. We believe this is an important step towards seamless process deployment in heterogeneous environments that will enhance community access to NASA data and tools in a scalable way, promote software reuse, and improve reproducibility of scientific results.

Direct-to-Earth Communications with Mars Science Laboratory During Entry, Descent, and Landing

NASA Technical Reports Server (NTRS)

Soriano, Melissa; Finley, Susan; Fort, David; Schratz, Brian; Ilott, Peter; Mukai, Ryan; Estabrook, Polly; Oudrhiri, Kamal; Kahan, Daniel; Satorius, Edgar

2013-01-01

Mars Science Laboratory (MSL) undergoes extreme heating and acceleration during Entry, Descent, and Landing (EDL) on Mars. Unknown dynamics lead to large Doppler shifts, making communication challenging. During EDL, a special form of Multiple Frequency Shift Keying (MFSK) communication is used for Direct-To-Earth (DTE) communication. The X-band signal is received by the Deep Space Network (DSN) at the Canberra Deep Space Communication complex, then down-converted, digitized, and recorded by open-loop Radio Science Receivers (RSR), and decoded in real-time by the EDL Data Analysis (EDA) System. The EDA uses lock states with configurable Fast Fourier Transforms to acquire and track the signal. RSR configuration and channel allocation is shown. Testing prior to EDL is discussed including software simulations, test bed runs with MSL flight hardware, and the in-flight end-to-end test. EDA configuration parameters and signal dynamics during pre-entry, entry, and parachute deployment are analyzed. RSR and EDA performance during MSL EDL is evaluated, including performance using a single 70-meter DSN antenna and an array of two 34-meter DSN antennas as a back up to the 70-meter antenna.

GeoTess: A generalized Earth model software utility

DOE PAGES

Ballard, Sanford; Hipp, James; Kraus, Brian; ...

2016-03-23

GeoTess is a model parameterization and software support library that manages the construction, population, storage, and interrogation of data stored in 2D and 3D Earth models. Here, the software is available in Java and C++, with a C interface to the C++ library.

Leveraging Open Standard Interfaces in Providing Efficient Discovery, Retrieval, and Information of NASA-Sponsored Observations and Predictions

NASA Astrophysics Data System (ADS)

Cole, M.; Alameh, N.; Bambacus, M.

2006-05-01

The Applied Sciences Program at NASA focuses on extending the results of NASA's Earth-Sun system science research beyond the science and research communities to contribute to national priority applications with societal benefits. By employing a systems engineering approach, supporting interoperable data discovery and access, and developing partnerships with federal agencies and national organizations, the Applied Sciences Program facilitates the transition from research to operations in national applications. In particular, the Applied Sciences Program identifies twelve national applications, listed at http://science.hq.nasa.gov/earth-sun/applications/, which can be best served by the results of NASA aerospace research and development of science and technologies. The ability to use and integrate NASA data and science results into these national applications results in enhanced decision support and significant socio-economic benefits for each of the applications. This paper focuses on leveraging the power of interoperability and specifically open standard interfaces in providing efficient discovery, retrieval, and integration of NASA's science research results. Interoperability (the ability to access multiple, heterogeneous geoprocessing environments, either local or remote by means of open and standard software interfaces) can significantly increase the value of NASA-related data by increasing the opportunities to discover, access and integrate that data in the twelve identified national applications (particularly in non-traditional settings). Furthermore, access to data, observations, and analytical models from diverse sources can facilitate interdisciplinary and exploratory research and analysis. To streamline this process, the NASA GeoSciences Interoperability Office (GIO) is developing the NASA Earth-Sun System Gateway (ESG) to enable access to remote geospatial data, imagery, models, and visualizations through open, standard web protocols. The gateway (online at http://esg.gsfc.nasa.gov) acts as a flexible and searchable registry of NASA-related resources (files, services, models, etc) and allows scientists, decision makers and others to discover and retrieve a wide variety of observations and predictions of natural and human phenomena related to Earth Science from NASA and other sources. To support the goals of the Applied Sciences national applications, GIO staff is also working with the national applications communities to identify opportunities where open standards-based discovery and access to NASA data can enhance the decision support process of the national applications. This paper describes the work performed to-date on that front, and summarizes key findings in terms of identified data sources and benefiting national applications. The paper also highlights the challenges encountered in making NASA-related data accessible in a cross-cutting fashion and identifies areas where interoperable approaches can be leveraged.

Leveraging Web Services in Providing Efficient Discovery, Retrieval, and Integration of NASA-Sponsored Observations and Predictions

NASA Astrophysics Data System (ADS)

Bambacus, M.; Alameh, N.; Cole, M.

2006-12-01

The Applied Sciences Program at NASA focuses on extending the results of NASA's Earth-Sun system science research beyond the science and research communities to contribute to national priority applications with societal benefits. By employing a systems engineering approach, supporting interoperable data discovery and access, and developing partnerships with federal agencies and national organizations, the Applied Sciences Program facilitates the transition from research to operations in national applications. In particular, the Applied Sciences Program identifies twelve national applications, listed at http://science.hq.nasa.gov/earth-sun/applications/, which can be best served by the results of NASA aerospace research and development of science and technologies. The ability to use and integrate NASA data and science results into these national applications results in enhanced decision support and significant socio-economic benefits for each of the applications. This paper focuses on leveraging the power of interoperability and specifically open standard interfaces in providing efficient discovery, retrieval, and integration of NASA's science research results. Interoperability (the ability to access multiple, heterogeneous geoprocessing environments, either local or remote by means of open and standard software interfaces) can significantly increase the value of NASA-related data by increasing the opportunities to discover, access and integrate that data in the twelve identified national applications (particularly in non-traditional settings). Furthermore, access to data, observations, and analytical models from diverse sources can facilitate interdisciplinary and exploratory research and analysis. To streamline this process, the NASA GeoSciences Interoperability Office (GIO) is developing the NASA Earth-Sun System Gateway (ESG) to enable access to remote geospatial data, imagery, models, and visualizations through open, standard web protocols. The gateway (online at http://esg.gsfc.nasa.gov) acts as a flexible and searchable registry of NASA-related resources (files, services, models, etc) and allows scientists, decision makers and others to discover and retrieve a wide variety of observations and predictions of natural and human phenomena related to Earth Science from NASA and other sources. To support the goals of the Applied Sciences national applications, GIO staff is also working with the national applications communities to identify opportunities where open standards-based discovery and access to NASA data can enhance the decision support process of the national applications. This paper describes the work performed to-date on that front, and summarizes key findings in terms of identified data sources and benefiting national applications. The paper also highlights the challenges encountered in making NASA-related data accessible in a cross-cutting fashion and identifies areas where interoperable approaches can be leveraged.

Data Stewardship in the Ocean Sciences Needs to Include Physical Samples

NASA Astrophysics Data System (ADS)

Carter, M.; Lehnert, K.

2016-02-01

Across the Ocean Sciences, research involves the collection and study of samples collected above, at, and below the seafloor, including but not limited to rocks, sediments, fluids, gases, and living organisms. Many domains in the Earth Sciences have recently expressed the need for better discovery, access, and sharing of scientific samples and collections (EarthCube End-User Domain workshops, 2012 and 2013, http://earthcube.org/info/about/end-user-workshops), as has the US government (OSTP Memo, March 2014). iSamples (Internet of Samples in the Earth Sciences) is a Research Coordination Network within the EarthCube program that aims to advance the use of innovative cyberinfrastructure to support and advance the utility of physical samples and sample collections for science and ensure reproducibility of sample-based data and research results. iSamples strives to build, grow, and foster a new community of practice, in which domain scientists, curators of sample repositories and collections, computer and information scientists, software developers and technology innovators engage in and collaborate on defining, articulating, and addressing the needs and challenges of physical samples as a critical component of digital data infrastructure. A primary goal of iSamples is to deliver a community-endorsed set of best practices and standards for the registration, description, identification, and citation of physical specimens and define an actionable plan for implementation. iSamples conducted a broad community survey about sample sharing and has created 5 different working groups to address the different challenges of developing the internet of samples - from metadata schemas and unique identifiers to an architecture for a shared cyberinfrastructure to manage collections, to digitization of existing collections, to education, and ultimately to establishing the physical infrastructure that will ensure preservation and access of the physical samples. Repositories that curate marine sediment cores and dredge samples from the oceanic crust are participating in iSamples, but many other samples collected in the Ocean sciences are not yet represented. This presentation aims to engage a wider spectrum of Ocean scientists and sample curators in iSamples.

Out of This World Software. Teaching with Technology.

ERIC Educational Resources Information Center

Allen, Denise

1996-01-01

Explains that children have a better sense of environmental awareness and introduces the EarthCare Interactive software that is designed for preschoolers to fourth graders. Briefly describes how to navigate in EarthCare and describes four other software packages: "Job City Literature Connections,""Perfect Landing,""Classroom Occupation," and…

A vision for, and progress towards EarthCube

NASA Astrophysics Data System (ADS)

Jacobs, C.

2012-04-01

The National Science Foundation (NSF), a US government agency, seeks to transform the conduct of research in geosciences by supporting innovative approaches to community-created cyberinfrastructure that integrates knowledge management across the Geosciences. Within the NSF organization, the Geosciences Directorate (GEO) and the Office of Cyberinfrastructure (OCI) are partnering to address the multifaceted challenges of modern, data-intensive science and education. NSF encourages the community to envision and create an environment where low adoption thresholds and new capabilities act together to greatly increase the productivity and capability of researchers and educators working at the frontiers of Earth system science. This initiative is EarthCube. NSF believes the geosciences community is well positioned to plan and prototype transformative approaches that use innovative technologies to integrate and make interoperable vast resources of heterogeneous data and knowledge within a knowledge management framework. This believe is founded on tsunami of technology development and application that has and continues to engulf science and investments geosciences has made in cyberinfrastructure (CI) to take advantage the technological developments. However, no master framework for geosciences was employed in the development of technology-enable capabilities required by various geosciences communities. It is time to develop an open, adaptable and sustainable framework (an "EarthCube") to enable transformative research and education of Earth system. This will involve, but limited to fostering common data models and data-focused methodologies; developing next generation search and data tools; and advancing application software to integrate data from various sources to expand the frontiers of knowledge. Also, NSF looks to the community to develop a robust and balanced paradigm to manage a collaborative effort and build community support. Such a paradigm must engage a diverse range of geosciences data collections and collectors, establish sustainable partnerships with other entities that collect data (e.g. other Federal and international agencies), the integrate simulations and observations, and foster symbiotic relationships with industry. Two realize this vision, NSF posted open letters to the community, had several WebEx session, established a social network website to stimulate community dialog (EarthCube.ning.com), held a Charrette with broad community participation, and is accepting expression of interests from the community for the early development efforts of all or part the EarthCube framework.

Joint Interdisciplinary Earth Science Information Center

NASA Technical Reports Server (NTRS)

Kafatos, Menas

2004-01-01

The report spans the three year period beginning in June of 2001 and ending June of 2004. Joint Interdisciplinary Earth Science Information Center's (JIESIC) primary purpose has been to carry out research in support of the Global Change Data Center and other Earth science laboratories at Goddard involved in Earth science, remote sensing and applications data and information services. The purpose is to extend the usage of NASA Earth Observing System data, microwave data and other Earth observing data. JIESIC projects fall within the following categories: research and development; STW and WW prototyping; science data, information products and services; and science algorithm support. JIESIC facilitates extending the utility of NASA's Earth System Enterprise (ESE) data, information products and services to better meet the science data and information needs of a number of science and applications user communities, including domain users such as discipline Earth scientists, interdisciplinary Earth scientists, Earth science applications users and educators.

The Effects of Earth Science Programs on Student Knowledge and Interest in Earth Science

NASA Astrophysics Data System (ADS)

Wilson, A.

2016-12-01

Ariana Wilson, Chris Skinner, Chris Poulsen Abstract For many years, academic programs have been in place for the instruction of young students in the earth sciences before they undergo formal training in high school or college. However, there has been little formal assessment of the impacts of these programs on student knowledge of the earth sciences and their interest in continuing with earth science. On August 6th-12th 2016 I will attend the University of Michigan's annual Earth Camp, where I will 1) ascertain high school students' knowledge of earth science-specifically atmospheric structure and wind patterns- before and after Earth Camp, 2) record their opinions about earth science before and after Earth Camp, and 3) record how the students feel about how the camp was run and what could be improved. I will accomplish these things through the use of surveys asking the students questions about these subjects. I expect my results will show that earth science programs like Earth Camp deepen students' knowledge of and interest in earth science and encourage them to continue their study of earth science in the future. I hope these results will give guidance on how to conduct future learning programs and how to recruit more students to become earth scientists in the future.

The Concept Currency of K-12 Science Textbooks Relative to Earth Science Concepts.

ERIC Educational Resources Information Center

Janke, Delmar Lester

This study was undertaken to determine the degree of agreement between science textbooks and scholars in earth science relative to earth science concepts to be included in the K-12 science curriculum. The study consisted of two phases: (1) the identification of a sample of earth science concepts rated by earth scientists as important for inclusion…

NASA's Earth Imagery Service as Open Source Software

NASA Astrophysics Data System (ADS)

De Cesare, C.; Alarcon, C.; Huang, T.; Roberts, J. T.; Rodriguez, J.; Cechini, M. F.; Boller, R. A.; Baynes, K.

2016-12-01

The NASA Global Imagery Browse Service (GIBS) is a software system that provides access to an archive of historical and near-real-time Earth imagery from NASA-supported satellite instruments. The imagery itself is open data, and is accessible via standards such as the Open Geospatial Consortium (OGC)'s Web Map Tile Service (WMTS) protocol. GIBS includes three core software projects: The Imagery Exchange (TIE), OnEarth, and the Meta Raster Format (MRF) project. These projects are developed using a variety of open source software, including: Apache HTTPD, GDAL, Mapserver, Grails, Zookeeper, Eclipse, Maven, git, and Apache Commons. TIE has recently been released for open source, and is now available on GitHub. OnEarth, MRF, and their sub-projects have been on GitHub since 2014, and the MRF project in particular receives many external contributions from the community. Our software has been successful beyond the scope of GIBS: the PO.DAAC State of the Ocean and COVERAGE visualization projects reuse components from OnEarth. The MRF source code has recently been incorporated into GDAL, which is a core library in many widely-used GIS software such as QGIS and GeoServer. This presentation will describe the challenges faced in incorporating open software and open data into GIBS, and also showcase GIBS as a platform on which scientists and the general public can build their own applications.

Rising Above the Storm: DIG TEXAS

NASA Astrophysics Data System (ADS)

Ellins, K. K.; Miller, K. C.; Bednarz, S. W.; Mosher, S.

2011-12-01

For a decade Texas educators, scientists and citizens have shown a commitment to earth science education through planning at the national and state levels, involvement in earth science curriculum and teacher professional development projects, and the creation of a model senior level capstone Earth and Space Science course first offered in 2010 - 2011. The Texas state standards for Earth and Space Science demonstrate a shift to rigorous content, career relevant skills and use of 21st century technology. Earth and Space Science standards also align with the Earth Science, Climate and Ocean Literacy framework documents. In spite of a decade of progress K-12 earth science education in Texas is in crisis. Many school districts do not offer Earth and Space Science, or are using the course as a contingency for students who fail core science subjects. The State Board for Educator Certification eliminated Texas' secondary earth science teacher certification in 2009, following the adoption of the new Earth and Space Science standards. This makes teachers with a composite teacher certification (biology, physics and chemistry) eligible to teach Earth and Space Science, as well other earth science courses (e.g., Aquatic Science, Environmental Systems/Science) even if they lack earth science content knowledge. Teaching materials recently adopted by the State Board of Education do not include Earth and Space Science resources. In July 2011 following significant budget cuts at the 20 Education Service Centers across Texas, the Texas Education Agency eliminated key staff positions in its curriculum division, including science. This "perfect storm" has created a unique opportunity for a university-based approach to confront the crisis in earth science education in Texas which the Diversity and Innovation in the Geosciences (DIG) TEXAS alliance aims to fulfill. Led by the Texas A&M University College of Geosciences and The University of Texas Jackson School of Geosciences, with initial assistance of the American Geophysical Union, the alliance comprises earth scientists and educators at higher education institutions across the state, and science teachers, united to improve earth science literacy (geoscience-earth, ocean, atmospheric, planetary, and geography) among Texas science teachers in order to attract individuals from groups underrepresented in STEM fields to pursue earth science as a career. Members of the alliance are affiliated with one of eight regional DIG TEXAS hub institutions. With an NSF planning grant, DIG TEXAS leaders created the DIG TEXAS brand, developed a project website, organized and held the first community meeting in March, 2011 at Exxon Mobil's Training Center in Houston. DIG TEXAS members have also delivered testimony to the State Board for Educator Certification in support of a new earth science teacher certification and collaborated on proposals that seek funding to support recommendations formulated at the community meeting.

Earth From Space: "Beautiful Earth's" Integration of Media Arts, Earth Science, and Native Wisdom in Informal Learning Environments

NASA Astrophysics Data System (ADS)

Casasanto, V.; Hallowell, R.; Williams, K.; Rock, J.; Markus, T.

2015-12-01

"Beautiful Earth: Experiencing and Learning Science in an Engaging Way" was a 3-year project funded by NASA's Competitive Opportunities in Education and Public Outreach for Earth and Space Science. An outgrowth of Kenji Williams' BELLA GAIA performance, Beautiful Earth fostered a new approach to teaching by combining live music, data visualizations and Earth science with indigenous perspectives, and hands-on workshops for K-12 students at 5 science centers. Inspired by the "Overview Effect," described by many astronauts who were awestruck by seeing the Earth from space and their realization of the profound interconnectedness of Earth's life systems, Beautiful Earth leveraged the power of multimedia performance to serve as a springboard to engage K-12 students in hands-on Earth science and Native wisdom workshops. Results will be presented regarding student perceptions of Earth science, environmental issues, and indigenous ways of knowing from 3 years of evaluation data.

Siberian Earth System Science Cluster - A web-based Geoportal to provide user-friendly Earth Observation Products for supporting NEESPI scientists

NASA Astrophysics Data System (ADS)

Eberle, J.; Gerlach, R.; Hese, S.; Schmullius, C.

2012-04-01

To provide earth observation products in the area of Siberia, the Siberian Earth System Science Cluster (SIB-ESS-C) was established as a spatial data infrastructure at the University of Jena (Germany), Department for Earth Observation. This spatial data infrastructure implements standards published by the Open Geospatial Consortium (OGC) and the International Organizsation for Standardization (ISO) for data discovery, data access, data processing and data analysis. The objective of SIB-ESS-C is to faciliate environmental research and Earth system science in Siberia. The region for this project covers the entire Asian part of the Russian Federation approximately between 58°E - 170°W and 48°N - 80°N. To provide discovery, access and analysis services a webportal was published for searching and visualisation of available data. This webportal is based on current web technologies like AJAX, Drupal Content Management System as backend software and a user-friendly surface with Drag-n-Drop and further mouse events. To have a wide range of regular updated earth observation products, some products from sensor MODIS at the satellites Aqua and Terra were processed. A direct connection to NASA archive servers makes it possible to download MODIS Level 3 and 4 products and integrate it in the SIB-ESS-C infrastructure. These data can be downloaded in a file format called Hierarchical Data Format (HDF). For visualisation and further analysis, this data is reprojected, converted to GeoTIFF and global products clipped to the project area. All these steps are implemented as an automatic process chain. If new MODIS data is available within the infrastructure this process chain is executed. With the link to a MODIS catalogue system, the system gets new data daily. With the implemented analysis processes, timeseries data can be analysed, for example to plot a trend or different time series against one another. Scientists working in this area and working with MODIS data can make use of this service over the webportal. Both searching manually the NASA archive for MODIS data, processing these data automatically and then download it for further processing and using the regular updated products.

The Journal of Earth System Science Education: Peer Review for Digital Earth and Digital Library Content

NASA Astrophysics Data System (ADS)

Johnson, D.; Ruzek, M.; Weatherley, J.

2001-05-01

The Journal of Earth System Science Education is a new interdisciplinary electronic journal aiming to foster the study of the Earth as a system and promote the development and exchange of interdisciplinary learning resources for formal and informal education. JESSE will serve educators and students by publishing and providing ready electronic access to Earth system and global change science learning resources for the classroom and will provide authors and creators with professional recognition through publication in a peer reviewed journal. JESSE resources foster a world perspective by emphasizing interdisciplinary studies and bridging disciplines in the context of the Earth system. The Journal will publish a wide ranging variety of electronic content, with minimal constraints on format, targeting undergraduate educators and students as the principal readership, expanding to a middle and high school audience as the journal matures. JESSE aims for rapid review and turn-around of resources to be published, with a goal of 12 weeks from submission to publication for resources requiring few changes. Initial publication will be on a quarterly basis until a flow of resource submissions is established to warrant continuous electronic publication. JESSE employs an open peer review process in which authors and reviewers discuss directly the acceptability of a resource for publication using a software tool called the Digital Document Discourse Environment. Reviewer comments and attribution will be available with the resource upon acceptance for publication. JESSE will also implement a moderated peer commentary capability where readers can comment on the use of a resource or make suggestions. In the development phase, JESSE will also conduct a parallel anonymous review of content to validate and ensure credibility of the open review approach. Copyright of materials submitted remains with the author, granting JESSE the non-exclusive right to maintain a copy of the resource published on the JESSE web server, ensuring long term access to the resource as reviewed. JESSE is collaborating with the Digital Library for Earth System Education (DLESE) as a federated partner. Initial release is planned for Summer, 2001.

ForM@Ter: a French Solid Earth Research Infrastructure Project

NASA Astrophysics Data System (ADS)

Mandea, M.; Diament, M.; Jamet, O.; Deschamps-Ostanciaux, E.

2017-12-01

Recently, some noteworthy initiatives to develop efficient research e-infrastructures for the study of the Earth's system have been set up. However, some gaps between the data availability and their scientific use still exists, either because technical reasons (big data issues) or because of the lack of a dedicated support in terms of expert knowledge of the data, software availability, or data cost. The need for thematic cooperative platforms has been underlined over the last years, as well as the need to create thematic centres designed to federate the scientific community of Earth's observation. Four thematic data centres have been developed in France, covering the domains of ocean, atmosphere, land, and solid Earth sciences. For the Solid Earth science community, a research infrastructure project named ForM@Ter was launched by the French Space Agency (CNES) and the National Centre for Scientific Research (CNRS), with the active participation of the National institute for geographical and forestry information (IGN). Currently, it relies on the contributions of scientists from more than 20 French Earth science laboratories.Preliminary analysis have showed that a focus on the determination of the shape and movements of the Earth surface (ForM@Ter: Formes et Mouvements de la Terre) can federate a wide variety of scientific areas (earthquake cycle, tectonics, morphogenesis, volcanism, erosion dynamics, mantle rheology, geodesy) and offers many interfaces with other geoscience domains, such as glaciology or snow evolution. This choice motivates the design of an ambitious data distribution scheme, including a wide variety of sources - optical imagery, SAR, GNSS, gravity, satellite altimetry data, in situ observations (inclinometers, seismometers, etc.) - as well as a wide variety of processing techniques. In the evolving context of the current and forthcoming national and international e-infrastructures, the challenge of the project is to design a non-redundant service based on interoperations with existing services, and to cope with highly complex data flows due to the granularity of the data and its associated knowledge. Here, a presentation of the project status and of the first available operational functionalities is foreseen.

Long-Term Audience Impacts of Live Fulldome Planetarium Lectures for Earth Science and Global Change Education

NASA Astrophysics Data System (ADS)

Yu, K. C.; Champlin, D. M.; Goldsworth, D. A.; Raynolds, R. G.; Dechesne, M.

2011-09-01

Digital Earth visualization technologies, from ArcGIS to Google Earth, have allowed for the integration of complex, disparate data sets to produce visually rich and compelling three-dimensional models of sub-surface and surface resource distribution patterns. The rendering of these models allows the public to quickly understand complicated geospatial relationships that would otherwise take much longer to explain using traditional media. At the Denver Museum of Nature & Science (DMNS), we have used such visualization technologies, including real-time virtual reality software running in the immersive digital "fulldome" Gates Planetarium, to impact the community through topical policy presentations. DMNS public lectures have covered regional issues like water resources, as well as global topics such as earthquakes, tsunamis, and resource depletion. The Gates Planetarium allows an audience to have an immersive experience-similar to virtual reality "CAVE" environments found in academia-that would otherwise not be available to the general public. Public lectures in the dome allow audiences of over 100 people to comprehend dynamically changing geospatial datasets in an exciting and engaging fashion. Surveys and interviews show that these talks are effective in heightening visitor interest in the subjects weeks or months after the presentation. Many visitors take additional steps to learn more, while one was so inspired that she actively worked to bring the same programming to her children's school. These preliminary findings suggest that fulldome real-time visualizations can have a substantial long-term impact on an audience's engagement and interest in science topics.

High Performance Hydrometeorological Modeling, Land Data Assimilation and Parameter Estimation with the Land Information System at NASA/GSFC

NASA Astrophysics Data System (ADS)

Peters-Lidard, C. D.; Kumar, S. V.; Santanello, J. A.; Tian, Y.; Rodell, M.; Mocko, D.; Reichle, R.

2008-12-01

The Land Information System (LIS; http://lis.gsfc.nasa.gov; Kumar et al., 2006; Peters-Lidard et al., 2007) is a flexible land surface modeling framework that has been developed with the goal of integrating satellite- and ground-based observational data products and advanced land surface modeling techniques to produce optimal fields of land surface states and fluxes. The LIS software was the co-winner of NASA's 2005 Software of the Year award. LIS facilitates the integration of observations from Earth-observing systems and predictions and forecasts from Earth System and Earth science models into the decision-making processes of partnering agency and national organizations. Due to its flexible software design, LIS can serve both as a Problem Solving Environment (PSE) for hydrologic research to enable accurate global water and energy cycle predictions, and as a Decision Support System (DSS) to generate useful information for application areas including disaster management, water resources management, agricultural management, numerical weather prediction, air quality and military mobility assessment. LIS has evolved from two earlier efforts - North American Land Data Assimilation System (NLDAS; Mitchell et al. 2004) and Global Land Data Assimilation System (GLDAS; Rodell et al. 2004) that focused primarily on improving numerical weather prediction skills by improving the characterization of the land surface conditions. Both of these systems, now use specific configurations of the LIS software in their current implementations. LIS not only consolidates the capabilities of these two systems, but also enables a much larger variety of configurations with respect to horizontal spatial resolution, input datasets and choice of land surface model through 'plugins'. In addition to these capabilities, LIS has also been demonstrated for parameter estimation (Peters-Lidard et al., 2008; Santanello et al., 2007) and data assimilation (Kumar et al., 2008). Examples and case studies demonstrating the capabilities and impacts of LIS for hydrometeorological modeling, land data assimilation and parameter estimation will be presented.

Provenance-Powered Automatic Workflow Generation and Composition

NASA Astrophysics Data System (ADS)

Zhang, J.; Lee, S.; Pan, L.; Lee, T. J.

2015-12-01

In recent years, scientists have learned how to codify tools into reusable software modules that can be chained into multi-step executable workflows. Existing scientific workflow tools, created by computer scientists, require domain scientists to meticulously design their multi-step experiments before analyzing data. However, this is oftentimes contradictory to a domain scientist's daily routine of conducting research and exploration. We hope to resolve this dispute. Imagine this: An Earth scientist starts her day applying NASA Jet Propulsion Laboratory (JPL) published climate data processing algorithms over ARGO deep ocean temperature and AMSRE sea surface temperature datasets. Throughout the day, she tunes the algorithm parameters to study various aspects of the data. Suddenly, she notices some interesting results. She then turns to a computer scientist and asks, "can you reproduce my results?" By tracking and reverse engineering her activities, the computer scientist creates a workflow. The Earth scientist can now rerun the workflow to validate her findings, modify the workflow to discover further variations, or publish the workflow to share the knowledge. In this way, we aim to revolutionize computer-supported Earth science. We have developed a prototyping system to realize the aforementioned vision, in the context of service-oriented science. We have studied how Earth scientists conduct service-oriented data analytics research in their daily work, developed a provenance model to record their activities, and developed a technology to automatically generate workflow starting from user behavior and adaptability and reuse of these workflows for replicating/improving scientific studies. A data-centric repository infrastructure is established to catch richer provenance to further facilitate collaboration in the science community. We have also established a Petri nets-based verification instrument for provenance-based automatic workflow generation and recommendation.

Articles of Data Confederation: DataONE, the KNB, and a multitude of Metacats- scaling interoperable data discovery and preservation from the lab to the Internet

NASA Astrophysics Data System (ADS)

Schildhauer, M.; Jones, M. B.; Jones, C. S.; Tao, J.

2017-12-01

The opportunities for synthesis science to advance understanding of the environment have never been greater. Challenges remain, however, with regards to preserving data in discoverable and re-usable formats, to inform new integrative analyses, and support reproducible science. In this talk I will describe one promising solution for data preservation, discovery, and re-use- the Knowledge Network for Biocomplexity, or KNB. The KNB (http://knb.ecoinformatics.org) has been providing a reliable data repository for ecological and environmental researchers for over 15 years. The KNB is a distributed, open-source, web-enabled data repository based upon a formal metadata standard, EML, that is endorsed by several major ecological institutions including the LTER Network and NCEAS. A KNB server, also called a "Metacat", can be setup on very modest hardware, typically within a few hours, requres no expensive or proprietary software, and only moderate systems administration expertise. A tiered architecture allows KNB servers (or "Metacats") to communicate with other KNB servers, to afford greater operational reliability, higher performance, and reductions in potental data loss. The KNB is a strong member of the DataONE "Data Observation Network for Earth" (http://dataone.org) system, that confederates over 35 significant earth science data repositories (and still growing) from around the world through an open and powerful API. DataONE provides for integrated search over member repository holdings that incorporate features based on W3C-compliant semantics through annotations with OWL/RDF vocabularies such as PROV and the Environment Ontology, ENVO. The KNB and DataONE frameworks have given rise to an Open Science software development community that is actively building tools based on software that scientists already use, such as MATLAB and R. These tools can be used to both contribute data to, and operate upon data within the KNB and DataONE systems. An active User Community within DataONE assists with prioritizing future features of the framework, and provides for peer-to-peer assistance through chat-rooms and email lists. The challenge of achieving long-term sustainable funding for both the KNB and DataONE are still being addressed, and may stimulate discussion towards the end of my talk, time permitting.

Earth Global Reference Atmospheric Model (Earth-GRAM) GRAM Virtual Meeting

NASA Technical Reports Server (NTRS)

White, Patrick

2017-01-01

What is Earth-GRAM? Provide monthly mean and standard deviation for any point in atmosphere; Monthly, Geographic, and Altitude Variation. Earth-GRAM is a C++ software package; Currently distributed as Earth-GRAM 2016. Atmospheric variables included: pressure, density, temperature, horizontal and vertical winds, speed of sound, and atmospheric constituents. Used by engineering community because of ability to create dispersions inatmosphere at a rapid runtime; Often embedded in trajectory simulation software. Not a forecast model. Does not readily capture localized atmospheric effects.

Computer Visualizations for K-8 Science Teachers: One Component of Professional Development Workshops at the Planetary Science Institute

NASA Astrophysics Data System (ADS)

Kortenkamp, S.; Baldridge, A. M.; Bleamaster, L. F.; Buxner, S.; Canizo, T.; Crown, D. A.; Lebofsky, L. A.

2012-12-01

The Planetary Science Institute (PSI), in partnership with the Tucson Regional Science Center, offers a series of professional development workshops targeting K-8 science teachers in southern Arizona. Using NASA data sets, research results, and a team of PSI scientists and educators, our workshops provide teachers with in-depth content knowledge of fundamental concepts in astronomy, geology, and planetary science. Current workshops are: The Earth-Moon System, Exploring the Terrestrial Planets, Impact Cratering, The Asteroid-Meteorite Connection, Volcanoes of the Solar System, Deserts of the Solar System, and Astrobiology and the Search for Extrasolar Planets. Several workshops incorporate customized computer visualizations developed at PSI. These visualizations are designed to help teachers overcome the common misconceptions students have in fundamental areas of space science. For example, the simple geometric relationship between the sun, the moon, and Earth is a concept that is rife with misconceptions. How can the arrangement of these objects account for the constantly changing phases of the moon as well as the occasional eclipses of the sun and moon? Students at all levels often struggle to understand the explanation for phases and eclipses even after repeated instruction over many years. Traditional classroom techniques have proven to be insufficient at rooting out entrenched misconceptions. One problem stems from the difficulty of developing an accurate mental picture of the Earth-Moon system in space when a student's perspective has always been firmly planted on the ground. To address this problem our visualizations take the viewers on a journey beyond Earth, giving them a so-called "god's eye" view of how the Earth-Moon system would look from a distance. To make this journey as realistic as possible we use ray-tracing software, incorporate NASA mission images, and accurately portray rotational and orbital motion. During a workshop our visualizations are used in conjunction with more traditional classroom techniques. This combination instills a greater confidence in teachers' understanding of the concepts and therefore increases their ability to teach their students. To date we have produced over 100 unique visualizations to demonstrate many different fundamental concepts in the Earth and space sciences. Participants in each workshop are provided with digital copies of the visualizations in a variety of file formats. They also receive Keynote and PowerPoint templates pre-embedded with the visualizations to facility straightforward use on Macs or PCs in their classrooms. A measure of the success of PSI's workshops is that nearly 50% of our teachers have attended multiple workshops, and teachers often cite the visualizations as one of the top benefits of their experience. Details of our workshops as well as downloadable examples of some visualizations can be found at: www.psi.edu/epo. This work is supported by NASA EPOESS award NNX10AE56G: Workshops in Science Education and Resources (WISER): Planetary Perspectives.

Diversity of Approaches to Structuring University-Based Earth System Science Education

NASA Astrophysics Data System (ADS)

Aron, J.; Ruzek, M.; Johnson, D. R.

2004-12-01

Over the past quarter century, the "Earth system science" paradigm has emerged among the interdisciplinary science community, emphasizing interactions among components hitherto considered within separate disciplines: atmosphere (air); hydrosphere (water); biosphere (life); lithosphere (land); anthroposphere (human dimension); and exosphere (solar system and beyond). How should the next generation of Earth system scientists learn to contribute to this interdisciplinary endeavor? There is no one simple answer. The Earth System Science Education program, funded by NASA, has addressed this question by supporting faculty at U.S. universities who develop new courses, curricula and degree programs in their institutional contexts. This report demonstrates the diversity of approaches to structuring university-based Earth system science education, focusing on the 18 current grantees of the Earth System Science Education Program for the 21st Century (ESSE21). One of the most fundamental characteristics is the departmental structure for teaching Earth system science. The "home" departments of the Earth system science faculty range from Earth sciences and physics to agronomy and social work. A brand-new institution created an interdisciplinary Institute for Earth Systems Science and Policy without traditional "parent" departments. Some institutions create new degree programs as majors or as minors while others work within existing degree programs to add or revise courses. A university may also offer multiple strands, such as a degree in the Science of the Earth System and a degree in the Human Dimensions of the Earth System. Defining a career path is extremely important to students considering Earth system science programs and a major institutional challenge for all programs in Earth system science education. How will graduate programs assess prospective students? How will universities and government agencies assess prospective faculty and scientists? How will government agencies allocate funds to interdisciplinary Earth system science and technology? Finally, how should the Earth system science education community evolve?

Developing Online Oceanography at UCSB

NASA Astrophysics Data System (ADS)

Prothero, W. A.; Dodson, H.

2001-12-01

Oceanography at UCSB is an introductory general education science course taken by up to 200 students per quarter. The emphasis is on learning science process by engaging in authentic science activities that use real earth data. Recently, to increase student motivation, the course has been modified to include an Earth Summit framework. The online support being developed for this course is the first step in the creation of a completely online oceanography class. Foundation software was first tested in the class during Spring 2001. Online activities that are supported are writing and instructor feedback, online threaded discussion with live chat and graphics, automatically graded homeworks and games, auto graded quizzes with questions randomly selected from a database, and thought problems graded by the instructor(s). Future plans include integration with commercial course management software. To allow choice of assignments, all course activities totaled110%. Since grades were based on A=90-100, B=80-90, C= 70-80, etc, it was possible to get a better than A grade. Students see the effect (on their grade) of each assignment by calculating their current course grade. Course activities included (most of which are automatically graded): weekly lab homeworks, weekly mini-quizzes (10 multiple choice questions selected at random from a topic database), weekly thought questions (graded by the TA), 3 written assignments, and "Question of the Day" from lecture (credit given for handing it in), The online writing software allowed students to enter their writing, edit and link to graphic images, print the paper, and electronically hand it in. This has the enormous advantage of allowing the instructor and TA's convenient access to all student papers. At the end of the course, students were asked how effective each of the course activities were in learning the course material. On a five point scale, ranging from highest contribution to lowest, the percentage of students giving ratings of 4 or 5 (highest) were: lectures: 27%, labs: 70%, earth summit activities: 57%, weekly thought questions: 36%, Questions of the day: 34%, weekly quizzes: 51%, weekly homeworks: 48%, writing assignments: 68%. Course difficulty responses were symmetrically peaked at a rating of 3, indicating that the course was taught at the right level. 64% of the students responded with 4 or 5 level to "I worked very hard in this class." Join the DLESE "Oceanography" interest group (www.dlese.org) to discuss and help develop oceanography course materials. >http://oceanography.geol.ucsb.edu/Support/CourseWare/Index.html

DRIFTER Web App Development Support

NASA Technical Reports Server (NTRS)

Davis, Derrick D.; Armstrong, Curtis D.

2015-01-01

During my 2015 internship at Stennis Space Center (SSC) I supported the development of a web based tool to enable user interaction with a low-cost environmental monitoring buoy called the DRIFTER. DRIFTERs are designed by SSC's Applied Science and Technology Projects branch and are used to measure parameters such as water temperature and salinity. Data collected by the buoys help verify measurements by NASA satellites, which contributes to NASA's mission to advance understanding of the Earth by developing technologies to improve the quality of life on or home planet. My main objective during this internship was to support the development of the DRIFTER by writing web-based software that allows the public to view and access data collected by the buoys. In addition, this software would enable DRIFTER owners to configure and control the devices.

Earth Science Europe "Is Earth Science Europe an interesting and useful construct?"

NASA Astrophysics Data System (ADS)

Ludden, John

2015-04-01

In 2014 we managed to have a group of earth scientists from across the spectrum: from academic, survey, industry and government, pull together to create the first output for Earth Science Europe http://www.bgs.ac.uk/earthScienceEurope/downloads/EarthScienceEuropeBrochure.pdf In this document we stated that Earth scientists need a united, authoritative voice to enhance the status and impact of Earth science across Europe. The feeling was that there were many diverse infrastructure and research initiatives spanning the terrestrial and oceanic realms and science ranged from historical geology to active dynamics on Earth, and that a level of coordination and mutual knowledge sharing was necessary. In addition to a better understanding of the Earth in general, we thought there was a need to have Earth Science Europe develop a strategic research capacity in geohazards, georesources and environmental earth sciences, through a roadmap addressing fundamental and societal challenges. This would involve a robust research infrastructure to deliver strategic goals, enabling inspirational research and promoting solutions to societal challenges. In this talk I will propose some next steps and discuss what this "authoritative voice" could look like and ask the question - "is Earth Science Europe and interesting and useful concept?"

NASA Earth Observations (NEO): Data Access for Informal Education and Outreach

NASA Technical Reports Server (NTRS)

Ward, Kevin; Herring, David

2005-01-01

The NEO (NASA Earth Observations) web space is currently under development with the goal of significantly increasing the demand for NASA remote sensing data while dramatically simplifying public access to georeferenced images. NEO will target the unsophisticated, nontraditional data users who are currently underserved by the existing data ordering systems. These users will include formal and informal educators, museum and science center personnel, professional communicators, and citizen scientists and amateur Earth observers. Users will be able to view and manipulate georeferenced browse imagery and, if they desire, download directly or order the source HDF data from the data provider (e.g., NASA DAAC or science team) via a single, integrated interface. NE0 will accomplish this goal by anticipating users expectations and knowledge level, thus providing an interface that presents material to users in a more simplified manner, without relying upon the jargon/technical terminology that make even the identification of the appropriate data set a significant hurdle. NEO will also act as a gateway that manages users expectations by providing specific details about images and data formats, developing tutorials regarding the manipulation of georeferenced imagery and raw data, links to software tools and ensuring that users are able to get the image they want in the format they want as easily as possible.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Foucar, James G.; Salinger, Andrew G.; Deakin, Michael

CIME is the software infrastructure for configuring, building, running, and testing an Earth system model. It can be developed and tested as stand-alone software, but its main role is to be integrating into the CESM and ACME Earth system models.

Geography From Another Dimension

NASA Technical Reports Server (NTRS)

2002-01-01

The GEODESY software program is intended to promote geographical awareness among students with its remote sensing capabilities to observe the Earth's surface from distant vantage points. Students and teachers using GEODESY learn to interpret and analyze geographical data pertaining to the physical attributes of their community. For example, the program provides a digital environment of physical features, such as mountains and bodies of water, as well as man-made features, such as roads and parks, using aerial photography, satellite imagery, and geographic information systems data in accordance with National Geography Standards. The main goal is to have the students and teachers gain a better understanding of the unique forces that drive their coexistence. GEODESY was developed with technical assistance and financial support from Stennis Space Center's Commercial Remote Sensing Program Office, now known as the Earth Science Applications Directorate.

The beginning of the space age: information and mathematical aspect. To the 60th anniversary of the launch of the first sputnik

NASA Astrophysics Data System (ADS)

Sushkevich, T. A.

2017-11-01

60 years ago, on 4 October 1957, the USSR successfully launched into space the FIRST SPUTNIK (artificial Earth satellite). From this date begins the countdown of the space age. Information and mathematical software is an integral component of any space project. Discusses the history and future of space exploration and the role of mathematics and computers. For illustration, presents a large list of publications. It is important to pay attention to the role of mathematics and computer science in space projects and research, remote sensing problems, the evolution of the Earth's environment and climate, where the theory of radiation transfer plays a key role, and the achievements of Russian scientists at the dawn of the space age.

A Study of Cloud Radiative Forcing and Feedback

NASA Technical Reports Server (NTRS)

Ramanathan, Veerabhadran

2000-01-01

The main objective of the grant proposal was to participate in the CERES (Cloud and Earth's Radiant Energy System) Satellite experiment and perform interdisciplinary investigation of NASA's Earth Observing System (EOS). During the grant period, massive amounts of scientific data from diverse platforms have been accessed, processed and archived for continuing use; several software packages have been developed for integration of different data streams for performing scientific evaluation; extensive validation studies planned have been completed culminating in the development of important algorithms that are being used presently in the operational production of data from the CERES. Contributions to the inter-disciplinary science investigations have been significantly more than originally envisioned. The results of these studies have appeared in several refereed journals and conference proceedings. They are listed at the end of this report.

Development, Deployment, and Assessment of Dynamic Geological and Geophysical Models Using the Google Earth APP and API: Implications for Undergraduate Education in the Earth and Planetary Sciences

NASA Astrophysics Data System (ADS)

de Paor, D. G.; Whitmeyer, S. J.; Gobert, J.

2009-12-01

We previously reported on innovative techniques for presenting data on virtual globes such as Google Earth using emergent Collada models that reveal subsurface geology and geophysics. We here present several new and enhanced models and linked lesson plans to aid deployment in undergraduate geoscience courses, along with preliminary results from our assessment of their effectiveness. The new Collada models are created with Google SketchUp, Bonzai3D, and MeshLab software, and are grouped to cover (i) small scale field mapping areas; (ii) regional scale studies of the North Atlantic Ocean Basin, the Appalachian Orogen, and the Pacific Ring of Fire; and (iii) global scale studies of terrestrial planets, moons, and asteroids. Enhancements include emergent block models with three-dimensional surface topography; models that conserve structural orientation data; interactive virtual specimens; models that animate plate movements on the virtual globe; exploded 3-D views of planetary mantles and cores; and server-generated dynamic KML. We tested volunteer students and professors using Silverback monitoring software, think-aloud verbalizations, and questionnaires designed to assess their understanding of the underlying geo-scientific phenomena. With the aid of a cohort of instructors across the U.S., we are continuing to assess areas in which users encounter difficulties with both the software and geoscientific concepts. Preliminary results suggest that it is easy to overestimate the computer expertise of novice users even when they are content knowledge experts (i.e., instructors), and that a detailed introduction to virtual globe manipulation is essential before moving on to geoscience applications. Tasks that seem trivial to developers may present barriers to non-technical users and technicalities that challenge instructors may block adoption in the classroom. We have developed new models using the Google Earth API which permits enhanced interaction and dynamic feedback and are assessing their relative merits versus the Google Earth APP. Overall, test students and professors value the models very highly. There are clear pedagogical opportunities for using materials such as these to create engaging in-course research opportunities for undergraduates.

Tethys: A Platform for Water Resources Modeling and Decision Support Apps

NASA Astrophysics Data System (ADS)

Swain, N. R.; Christensen, S. D.; Jones, N.; Nelson, E. J.

2014-12-01

Cloud-based applications or apps are a promising medium through which water resources models and data can be conveyed in a user-friendly environment—making them more accessible to decision-makers and stakeholders. In the context of this work, a water resources web app is a web application that exposes limited modeling functionality for a scenario exploration activity in a structured workflow (e.g.: land use change runoff analysis, snowmelt runoff prediction, and flood potential analysis). The technical expertise required to develop water resources web apps can be a barrier to many potential developers of water resources apps. One challenge that developers face is in providing spatial storage, analysis, and visualization for the spatial data that is inherent to water resources models. The software projects that provide this functionality are non-standard to web development and there are a large number of free and open source software (FOSS) projects to choose from. In addition, it is often required to synthesize several software projects to provide all of the needed functionality. Another challenge for the developer will be orchestrating the use of several software components. Consequently, the initial software development investment required to deploy an effective water resources cloud-based application can be substantial. The Tethys Platform has been developed to lower the technical barrier and minimize the initial development investment that prohibits many scientists and engineers from making use of the web app medium. Tethys synthesizes several software projects including PostGIS for spatial storage, 52°North WPS for spatial analysis, GeoServer for spatial publishing, Google Earth™, Google Maps™ and OpenLayers for spatial visualization, and Highcharts for plotting tabular data. The software selection came after a literature review of software projects being used to create existing earth sciences web apps. All of the software is linked via a Python-powered software development kit (SDK). Tethys developers use the SDK to build their apps and incorporate the needed functionality from the software suite. The presentation will include several apps that have been developed using Tethys to demonstrate its capabilities. Based upon work supported by the National Science Foundation under Grant No. 1135483.

EVER-EST: a virtual research environment for Earth Sciences

NASA Astrophysics Data System (ADS)

Marelli, Fulvio; Albani, Mirko; Glaves, Helen

2016-04-01

There is an increasing requirement for researchers to work collaboratively using common resources whilst being geographically dispersed. By creating a virtual research environment (VRE) using a service oriented architecture (SOA) tailored to the needs of Earth Science (ES) communities, the EVEREST project will provide a range of both generic and domain specific data management services to support a dynamic approach to collaborative research. EVER-EST will provide the means to overcome existing barriers to sharing of Earth Science data and information allowing research teams to discover, access, share and process heterogeneous data, algorithms, results and experiences within and across their communities, including those domains beyond Earth Science. Researchers will be able to seamlessly manage both the data involved in their computationally intensive disciplines and the scientific methods applied in their observations and modelling, which lead to the specific results that need to be attributable, validated and shared both within the community and more widely e.g. in the form of scholarly communications. Central to the EVEREST approach is the concept of the Research Object (RO) , which provides a semantically rich mechanism to aggregate related resources about a scientific investigation so that they can be shared together using a single unique identifier. Although several e-laboratories are incorporating the research object concept in their infrastructure, the EVER-EST VRE will be the first infrastructure to leverage the concept of Research Objects and their application in observational rather than experimental disciplines. Development of the EVEREST VRE will leverage the results of several previous projects which have produced state-of-the-art technologies for scientific data management and curation as well those which have developed models, techniques and tools for the preservation of scientific methods and their implementation in computational forms such as scientific workflows. The EVER-EST data processing infrastructure will be based on a Cloud Computing approach, in which new applications can be integrated using "virtual machines" that have their own specifications (disk size, processor speed, operating system etc.) and run on shared private (physical deployment over local hardware) or commercial Cloud infrastructures. The EVER-EST e-infrastructure will be validated by four virtual research communities (VRC) covering different multidisciplinary Earth Science domains including: ocean monitoring, natural hazards, land monitoring and risk management (volcanoes and seismicity). Each VRC will use the virtual research environment according to its own specific requirements for data, software, best practice and community engagement. This user-centric approach will allow an assessment to be made of the capability for the proposed solution to satisfy the heterogeneous needs of a variety of Earth Science communities for more effective collaboration, and higher efficiency and creativity in research. EVER-EST is funded by the European Commission's H2020 for three years starting in October 2015. The project is led by the European Space Agency (ESA), involves some of the major European Earth Science data providers/users including NERC, DLR, INGV, CNR and SatCEN.

Geographic Information System Incorporated into Earth Science Classrooms to Enhance Individual Learning Development with Interconnected Concepts

NASA Astrophysics Data System (ADS)

Garifo, Mary Anna

2017-04-01

Geographic Information System, GIS, is a powerful tool and when incorporated into Earth Science classrooms, can enhance and empower students' engagement in their learning. Through utilization of GIS, students can process what they are learning in a spatially orientated method, which allows them to make connections among different related concepts. For example, if students are given a map in a GIS software with multiple layers of data on earthquakes, plate technics, and volcanoes then they can manipulate this information to come up with their own patterns. Through allowing students to develop their spatial recognition of where the Earth's plate boundaries are and where earthquakes have occurred, students can see how these two concepts are connected. In a guided but exploratory activity, students would be given multiple different websites that they could explore to research what different type of plates there are while they are working simultaneously with the GIS software. Using a plate technics layer, including data on type of boundary, students can explore and estimate which direction the plates are moving. When they look up convergent boundaries and see that the oceanic plates submerge under continental plates they can see where volcanic chains might be. Once they understand this in a spatial way, students can predict where they think volcanoes could be, based on where convergent boundaries are. When they manipulate the volcanic layer and see abnormalities to what they just learned, it will cause them to have cognitive dissonance, which will force them into seeking further understanding. The concept of a hot spot can then be introduced to resolve the cognitive dissonance and emphasis the idea that plates we live on are moving. Concepts can further be developed through GIS by showing how the strength and frequency of earthquakes are related to the level of activity at the plate boundary. This can be done by manipulating the map layer that represents earthquakes so that students can visualize each earthquake based on depth, size, or just location. If it is more active, then students should predict which direction it is moving based on the different boundary types. Rather than a traditional lecture approach, GIS software enables students to explore and manipulate relevant variables in an interactive and stimulating environment. It can harness their sense of wonder and exploration by giving them the opportunity to be hands on with the technology. In addition, using GIS in an Earth Science classroom can foster empathy in students. When the students look at the dots on the map, the hope is that they can visualize what type of destruction that could happen, especially when they change the variable function based on location to magnitude. As a teacher in Virginia, U.S.A., most students here have not experienced an earthquake. Although their perspective is limited, by allowing them to explore different locations with GIS, they create connections with places where earthquakes occur. The data and information they use allows them to learn about how the earth's systems are not isolated events but are the reality people live in.

Observing Active Volcanism on Earth and Beyond With an Autonomous Science Investigation Capability

NASA Astrophysics Data System (ADS)

Davies, A. G.; Mjolsness, E. D.; Fink, W.; Castano, R.; Park, H. G.; Zak, M.; Burl, M. C.

2001-12-01

Operational constraints imposed by restricted downlink and long communication delays make autonomous systems a necessity for exploring dynamic processes in the Solar System and beyond. Our objective is to develop an onboard, modular, automated science analysis tool that will autonomously detect unexpected events, identify rare events at predicted sites, quantify the processes under study, and prioritize the science data and analyses as they are collected. A primary target for this capability is terrestrial active volcanism. Our integrated, science-driven command and control package represents the next stage of the automatic monitoring of volcanic activity pioneered by GOES. The resulting system will maximize science return from day-to-day instrument use and provide immediate reaction to capture the fullest information from infrequent events. For example, a sensor suite consisting of a Galileo-like multi-filter visible wavelength camera and an infrared spectrometer, can acquire high-spatial resolution data of eruptions of lava and volcanic plumes and identify large concentrations of volcanic SO2. After image/spectrum formation, software is applied to the data which is capable of change detection (in the visible and infrared), feature identification (both in imagery and spectra), and novelty detection. In this particular case, the latter module detects change in the parameter space of an advanced multi-component black-body volcanic thermal emission model by means of a novel technique called the "Grey-Box" method which analyzes time series data through a combination of deterministic and stochastic models. This approach can be demonstrated using data obtained by the Galileo spacecraft of ionian volcanism. The system autonomously identifies the most scientifically important targets and prioritizes data and analyses for return. All of these techniques have been successfully demonstrated in laboratory experiments, and are ready to be tested in an operational environment. After identification of a target of interest, an onboard planner prioritizes resources to obtain the best possible dataset of the identified process. We emphasize that the software is modular. The change detection and feature identification modules can be applied to any imaged dataset, and are not confined to volcanic targets. Applications are therefore widespread, across all NASA Enterprises. Examples include detection and quantification of extraterrestrial volcanism (Io, Triton), the monitoring of features in planetary atmospheres (Earth, Gas Giants), the ebb and flow of ices (Earth, Mars), asteriod, comet and supernova detection, change detection in magnetic fields, and identification of structure within radio outbursts.

User's Guide for MapIMG 2: Map Image Re-projection Software Package

USGS Publications Warehouse

Finn, Michael P.; Trent, Jason R.; Buehler, Robert A.

2006-01-01

BACKGROUND Scientists routinely accomplish small-scale geospatial modeling in the raster domain, using high-resolution datasets for large parts of continents and low-resolution to high-resolution datasets for the entire globe. Direct implementation of point-to-point transformation with appropriate functions yields the variety of projections available in commercial software packages, but implementation with data other than points requires specific adaptation of the transformation equations or prior preparation of the data to allow the transformation to succeed. It seems that some of these packages use the U.S. Geological Survey's (USGS) General Cartographic Transformation Package (GCTP) or similar point transformations without adaptation to the specific characteristics of raster data (Usery and others, 2003a). Usery and others (2003b) compiled and tabulated the accuracy of categorical areas in projected raster datasets of global extent. Based on the shortcomings identified in these studies, geographers and applications programmers at the USGS expanded and evolved a USGS software package, MapIMG, for raster map projection transformation (Finn and Trent, 2004). Daniel R. Steinwand of Science Applications International Corporation, National Center for Earth Resources Observation and Science, originally developed MapIMG for the USGS, basing it on GCTP. Through previous and continuing efforts at the USGS' National Geospatial Technical Operations Center, this program has been transformed from an application based on command line input into a software package based on a graphical user interface for Windows, Linux, and other UNIX machines.

Where Is Earth Science? Mining for Opportunities in Chemistry, Physics, and Biology

ERIC Educational Resources Information Center

Thomas, Julie; Ivey, Toni; Puckette, Jim

2013-01-01

The Earth sciences are newly marginalized in K-12 classrooms. With few high schools offering Earth science courses, students' exposure to the Earth sciences relies on the teacher's ability to incorporate Earth science material into a biology, chemistry, or physics course. ''G.E.T. (Geoscience Experiences for Teachers) in the Field'' is an…

It's Time to Stand up for Earth Science

ERIC Educational Resources Information Center

Schaffer, Dane L.

2012-01-01

This commentary paper focuses upon the loss of respect for Earth Sciences on the part of many school districts across the United States. Too many Earth Science teachers are uncertified to teach Earth Science, or hold certificates to teach the subject merely because they took a test. The Earth Sciences have faced this problem for many years…

Three petabytes or bust: planning science observations for NISAR

NASA Astrophysics Data System (ADS)

Doubleday, Joshua R.

2016-05-01

The National Aeronautics and Space Administration (NASA) and the Indian Space Research Organization (ISRO) have formed a joint agency mission, NASA ISRO Synthetic Aperture Radar (NISAR) to fly in the 2020 timeframe, charged with collecting Synthetic Aperture Radar data over nearly all of earth's land and ice, to advance science in ecosystems, solid-earth and cryospheric disciplines with global time-series maps of various phenomenon. Over a three-year mission span, NISAR will collect on the order of 24 Terabits of raw radar data per day. Developing a plan to collect the data necessary for these three primary science disciplines and their sub-disciplines has been challenging in terms of overlapping geographic regions of interest, temporal requirements, competing modes of the radar instrument, and data-volume resources. One of the chief tools in building a plan of observations against these requirements has been a software tool developed at JPL, the Compressed Large-scale Scheduler Planner (CLASP). CLASP intersects the temporo-geometric visibilities of a spaceborne instrument with campaigns of temporospatial maps of scientific interest, in an iterative squeaky-wheel optimization loop. While the overarching strategy for science observations has evolved through the formulation phases of this mission, so has the use of CLASP. We'll show how this problem space and tool has evolved over time, as well as some of the current parameter estimates for NISAR and its overall mission plan.

U.S. Geological Survey Community for Data Integration-NWIS Web Services Snapshot Tool for ArcGIS

USGS Publications Warehouse

Holl, Sally

2011-01-01

U.S. Geological Survey (USGS) data resources are so vast that many scientists are unaware of data holdings that may be directly relevant to their research. Data are also difficult to access and large corporate databases, such as the National Water Information System (NWIS) that houses hydrologic data for the Nation, are challenging to use without considerable expertise and investment of time. The USGS Community for Data Integration (CDI) was established in 2009 to address data and information management issues affecting the proficiency of earth science research. A CDI workshop convened in 2009 identified common data integration needs of USGS scientists and targeted high value opportunities that might address these needs by leveraging existing projects in USGS science centers, in-kind contributions, and supplemental funding. To implement this strategy, CDI sponsored a software development project in 2010 to facilitate access and use of NWIS data with ArcGIS, a widely used Geographic Information System. The resulting software product, the NWIS Web Services Snapshot Tool for ArcGIS, is presented here.

Resources in the VLab Science Gateway: Online applications for thermodynamics and thermal elastic properties of mantle minerals

NASA Astrophysics Data System (ADS)

Wentzcovitch, R. M.; Da Silveira, P. R.; Wu, Z.; Yu, Y.

2013-12-01

Today first principles calculations in mineral physics play a fundamental role in understanding of the Earth. They complement experiments by expanding the pressure and temperature range for which properties can be obtained and provide access to atomic scale phenomena. Since the wealth of predictive first principles results can hardly be communicated in printed form, we have developed online applications where published results can be reproduced/verified online and extensive unpublished results can be generated in customized form. So far these applications have included thermodynamics properties of end-member phases and thermal elastic properties of end-member phases and few solid solutions. Extension of this software infrastructure to include other properties is in principle straightforward. This contribution will review the nature of results that can be generated (methods, thermodynamics domain, list of minerals, properties, etc) and nature of the software infrastructure. These applications are part of a more extensive cyber-infrastructure operating in the XSEDE - the VLab Science Gateway [1]. [1] https://www.xsede.org/web/guest/gateways-listing Research supported by NSF grants ATM-0428744 and EAR-1047629.

`We put on the glasses and Moon comes closer!' Urban Second Graders Exploring the Earth, the Sun and Moon Through 3D Technologies in a Science and Literacy Unit

NASA Astrophysics Data System (ADS)

Isik-Ercan, Zeynep; Zeynep Inan, Hatice; Nowak, Jeffrey A.; Kim, Beomjin

2014-01-01

This qualitative case study describes (a) the ways 3D visualization, coupled with other science and literacy experiences, supported young children's first exploration of the Earth-Sun-Moon system and (b) the perspectives of classroom teachers and children on using 3D visualization. We created three interactive 3D software modules that simulate day and night, Moon phases and seasons. These modules were used in a science and literacy unit for 35 second graders at an urban elementary school in Midwestern USA. Data included pre- and post-interviews, audio-taped lessons and classroom observations. Post-interviews demonstrated that children's knowledge of the shapes and the movements of the Earth and Moon, alternation of day and night, the occurrence of the seasons, and Moon's changing appearance increased. Second graders reported that they enjoyed expanding their knowledge through hands-on experiences; through its reality effect, 3D visualization enabled them to observe the space objects that move in the virtual space. The teachers noted that 3D visualization stimulated children's interest in space and that using 3D visualization in combination with other teaching methods-literacy experiences, videos and photos, simulations, discussions, and presentations-supported student learning. The teachers and the students still experienced challenges using 3D visualization due to technical problems with 3D vision and time constraints. We conclude that 3D visualization offers hands-on experiences for challenging science concepts and may support young children's ability to view phenomena that would typically be observed through direct, long-term observations in outer space. Results imply a reconsideration of assumed capabilities of young children to understand astronomical phenomena.

Earth Science Datacasting v2.0

NASA Technical Reports Server (NTRS)

Bingham, Andrew W.; Deen, Robert G.; Hussey, Kevin J.; Stough, Timothy M.; McCleese, Sean W.; Toole, Nicholas T.

2012-01-01

The Datacasting software, which consists of a server and a client, has been developed as part of the Earth Science (ES) Datacasting project. The goal of ES Datacasting is to provide scientists the ability to automatically and continuously download Earth science data that meets a precise, predefined need, and then to instantaneously visualize it on a local computer. This is achieved by applying the concept of podcasting to deliver science data over the Internet using RSS (Really Simple Syndication) XML feeds. By extending the RSS specification, scientists can filter a feed and only download the files that are required for a particular application (for example, only files that contain information about a particular event, such as a hurricane or flood). The extension also provides the ability for the client to understand the format of the data and visualize the information locally. The server part enables a data provider to create and serve basic Datacasting (RSS-based) feeds. The user can subscribe to any number of feeds, view the information related to each item contained within a feed (including browse pre-made images), manually download files associated with items, and place these files in a local store. The client-server architecture enables users to: a) Subscribe and interpret multiple Datacasting feeds (same look and feel as a typical mail client), b) Maintain a list of all items within each feed, c) Enable filtering on the lists based on different metadata attributes contained within the feed (list will reference only data files of interest), d) Visualize the reference data and associated metadata, e) Download files referenced within the list, and f) Automatically download files as new items become available.

CESDIS

NASA Technical Reports Server (NTRS)

1994-01-01

CESDIS, the Center of Excellence in Space Data and Information Sciences was developed jointly by NASA, Universities Space Research Association (USRA), and the University of Maryland in 1988 to focus on the design of advanced computing techniques and data systems to support NASA Earth and space science research programs. CESDIS is operated by USRA under contract to NASA. The Director, Associate Director, Staff Scientists, and administrative staff are located on-site at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The primary CESDIS mission is to increase the connection between computer science and engineering research programs at colleges and universities and NASA groups working with computer applications in Earth and space science. Research areas of primary interest at CESDIS include: 1) High performance computing, especially software design and performance evaluation for massively parallel machines; 2) Parallel input/output and data storage systems for high performance parallel computers; 3) Data base and intelligent data management systems for parallel computers; 4) Image processing; 5) Digital libraries; and 6) Data compression. CESDIS funds multiyear projects at U. S. universities and colleges. Proposals are accepted in response to calls for proposals and are selected on the basis of peer reviews. Funds are provided to support faculty and graduate students working at their home institutions. Project personnel visit Goddard during academic recess periods to attend workshops, present seminars, and collaborate with NASA scientists on research projects. Additionally, CESDIS takes on specific research tasks of shorter duration for computer science research requested by NASA Goddard scientists.

Sally Ride EarthKAM - Automated Image Geo-Referencing Using Google Earth Web Plug-In

NASA Technical Reports Server (NTRS)

Andres, Paul M.; Lazar, Dennis K.; Thames, Robert Q.

2013-01-01

Sally Ride EarthKAM is an educational program funded by NASA that aims to provide the public the ability to picture Earth from the perspective of the International Space Station (ISS). A computer-controlled camera is mounted on the ISS in a nadir-pointing window; however, timing limitations in the system cause inaccurate positional metadata. Manually correcting images within an orbit allows the positional metadata to be improved using mathematical regressions. The manual correction process is time-consuming and thus, unfeasible for a large number of images. The standard Google Earth program allows for the importing of KML (keyhole markup language) files that previously were created. These KML file-based overlays could then be manually manipulated as image overlays, saved, and then uploaded to the project server where they are parsed and the metadata in the database is updated. The new interface eliminates the need to save, download, open, re-save, and upload the KML files. Everything is processed on the Web, and all manipulations go directly into the database. Administrators also have the control to discard any single correction that was made and validate a correction. This program streamlines a process that previously required several critical steps and was probably too complex for the average user to complete successfully. The new process is theoretically simple enough for members of the public to make use of and contribute to the success of the Sally Ride EarthKAM project. Using the Google Earth Web plug-in, EarthKAM images, and associated metadata, this software allows users to interactively manipulate an EarthKAM image overlay, and update and improve the associated metadata. The Web interface uses the Google Earth JavaScript API along with PHP-PostgreSQL to present the user the same interface capabilities without leaving the Web. The simpler graphical user interface will allow the public to participate directly and meaningfully with EarthKAM. The use of similar techniques is being investigated to place ground-based observations in a Google Mars environment, allowing the MSL (Mars Science Laboratory) Science Team a means to visualize the rover and its environment.

The ongoing educational anomaly of earth science placement

USGS Publications Warehouse

Messina, P.; Speranza, P.; Metzger, E.P.; Stoffer, P.

2003-01-01

The geosciences have traditionally been viewed with less "aCademic prTstige" than other science curricula. Among the results of this perception are depressed K-16 enrollments, Earth Science assignments to lower-performing students, and relegation of these classes to sometimes under-qualified educators, all of which serve to confirm the widely-held misconceptions. An Earth Systems course developed at San Jos??e State University demonstrates the difficulty of a standard high school Earth science curriculum, while recognizing the deficiencies in pre-college Earth science education. Restructuring pre-college science curricula so that Earth Science is placed as a capstone course would greatly improve student understanding of the geosciences, while development of Earth systems courses that infuse real-world and hands-on learning at the college level is critical to bridging the information gap for those with no prior exposure to the Earth sciences. Well-crafted workshops for pre-service and inservice teachers of Earth Science can heIp to reverse the trends and unfortunate "sTatus" in geoscience education.

The common principles established to expert's preparation by a remote methods in the Earth sciences field, and their decision

NASA Astrophysics Data System (ADS)

Kudzh, S.; Trofimov, S.

Modern socially economic situation in the country and in an education system is those, that traditional forms of getting education and training model cannot satisfy all needs for the educational services usually concentrated in the big cities, and so - the increased interest to new, progressive specialities has received the development in electronic - training systems. The attitude to education on the part of the states, the governments, societies has changed also. Education began to be considered as the major factor of economic growth and social development of the countries, the decision of some global problems connected to survival of mankind. In this connection, recently development and practical introduction of technologies of remote and open education are conducted in the different countries, the especial attention is given to the systems, capable to comprise, transfer and analyze huge streams of information. The experience which has been saved up by foreign colleagues, shows, that the sanction of this technological conflict lays, generally, in sphere of creation of a wide network of remote training, and, in narrow, both quality and quantity of a substantial part, also it is necessary not to forget about a choice of electronic-training systems with their reference to various areas. And an occurrence of the computer equipment in the user's end, development of existing ways and means of data transmission, functional expansion of already existing and creation of absolutely new hardware-software complexes, and many other things has begun occurrence of new scientific directions in such basic area of sciences as the Earth - science. (These are geoinformation systems, research of natural resources by space methods, organization and technology of data protection in geoinformation systems etc.) Clearly, that new specialities impose the certain conditions for preparation of experts, and, carrying out the analysis of already existing electronic training systems in the field of geoinformation systems, there have been revealed a number of lacks which do not allow to prepare highly skilled experts at a high level in the given area. The output consists in use of electronic-training systems, but even here, there is a number of problems, decision of which lays in the process of remote training of the Earth sciences. Classification of the systems engaged in the field of the Earth sciences training has revealed a number of lacks and has allowed to develop the certain methodological aspects, necessary to take into account creating them. One of such of electronic training systems basic lacks is that the trained itself is kind of "torn off" from modern hardware-software complexes, that is basic in the training the given scientific direction, in connection with that, the practical part is inseparable from theoretical, and student cannot use saved up experience in practice, knowing only the theory. Teaching of a material in the majority of systems goes with group at once. (Individual interests "are absorbed" by desire of the majority, and, accordingly, the user of system sometimes cannot receive answers to many questions). Impossibility of allocation of the concrete user for his training under more or less strong separate program or his reception of additional knowledge on adjacent areas. Many systems do not support on (off) -- line conferences or don't support the huge streams of the information transfer, that in training of the Earth sciences -- is the one of the basic criteria, (because the various territorially distributed users of system could exchange their experience, could share impressions about use of the certain hardware-software complexes, participate in conferences spent by the various centers, to communicate with the tutors not only in the form of various forums, but also operatively (it is possible even visually, by means of use of system of Web- videotranslations) to receive answers to arising questions, etc.). And introduction of such opportunities as ``daily planning'' and ``reminder'' to the system - will not allow to forget about any action or not executed task, planning of the working day also teaches the discipline, and the user should have an opportunity to train the system (to carry out the elementary operations), to give system to plan and keep account of all accessible resources. Besides the set of problems which stand upon the Earth sciences professional training, it is necessary to note, that the user should have an opportunity to place on a server of the educational center some files which are necessary for him (because the trainee can get the higher education not only in the native city, but also behind his limits and different files or records are necessary for him) and as during studying the software products working in the given direction, it is necessary to work with files of huge size - it becomes more than actually, at the same time, it is necessary to provide an opportunity of presence of ``thin client'' on the user's workplace, so, in such network configuration all processing should conduct extremely on a server. The system should also allow to provide checking of trainee's knowledge. Not only in the test form (questions in tests should be not only one-alternative, but also multiple - when on 1 put question can be given all variants of answers which are entered into the system), but there should be an opportunity of the abstract answer to the question or a problem. Employment -- is a final stage of retraining or training, so in this connection it is necessary to provide an opportunity when the employer could: Pick up necessary experts by results of their training or to communicate to them up to the interview invitation; Place vacancy that will certainly be also help for those people who would like to change a place of work or is just going to find the place, and would also serve as the certain stimulus to deeper studying the given area; Put in system the certain inquiry, and the complex exclusively under his inquiry would find the certain people, capable to decide necessary tasks. Also, in connection with that `` the open system '' is used by development, the main complex was designed in such a manner that allows to connect at the completion stage other separate modules, written on different programming languages or at use of various software products. At the end of this clause it would be desirable to tell, that electronic-training system as one of forms of the Earth sciences education, can help to solve the problems facing to an education system on granting of accessible and qualitative education in the given area to wide layers of the population in modern socially and economic conditions of Russia, and the realization of the aspects which were described above will allow to prepare highly skilled experts in the Earth sciences.

Robotic Planetary Drill Tests

NASA Technical Reports Server (NTRS)

Glass, Brian J.; Thompson, S.; Paulsen, G.

2010-01-01

Several proposed or planned planetary science missions to Mars and other Solar System bodies over the next decade require subsurface access by drilling. This paper discusses the problems of remote robotic drilling, an automation and control architecture based loosely on observed human behaviors in drilling on Earth, and an overview of robotic drilling field test results using this architecture since 2005. Both rotary-drag and rotary-percussive drills are targeted. A hybrid diagnostic approach incorporates heuristics, model-based reasoning and vibration monitoring with neural nets. Ongoing work leads to flight-ready drilling software.

Diagnosing turbulence for research aircraft safety using open source toolkits

NASA Astrophysics Data System (ADS)

Lang, T. J.; Guy, N.

Open source software toolkits have been developed and applied to diagnose in-cloud turbulence in the vicinity of Earth science research aircraft, via analysis of ground-based Doppler radar data. Based on multiple retrospective analyses, these toolkits show promise for detecting significant turbulence well prior to cloud penetrations by research aircraft. A pilot study demonstrated the ability to provide mission scientists turbulence estimates in near real time during an actual field campaign, and thus these toolkits are recommended for usage in future cloud-penetrating aircraft field campaigns.

Flight Hardware Fabricated for Combustion Science in Space

NASA Technical Reports Server (NTRS)

OMalley, Terence F.; Weiland, Karen J.

2005-01-01

NASA Glenn Research Center s Telescience Support Center (TSC) allows researchers on Earth to operate experiments onboard the International Space Station (ISS) and the space shuttles. NASA s continuing investment in the required software, systems, and networks provides distributed ISS ground operations that enable payload developers and scientists to monitor and control their experiments from the Glenn TSC. The quality of scientific and engineering data is enhanced while the long-term operational costs of experiments are reduced because principal investigators and engineering teams can operate their payloads from their home institutions.

New space sensor and mesoscale data analysis

NASA Technical Reports Server (NTRS)

Hickey, John S.

1987-01-01

The developed Earth Science and Application Division (ESAD) system/software provides the research scientist with the following capabilities: an extensive data base management capibility to convert various experiment data types into a standard format; and interactive analysis and display package (AVE80); an interactive imaging/color graphics capability utilizing the Apple III and IBM PC workstations integrated into the ESAD computer system; and local and remote smart-terminal capability which provides color video, graphics, and Laserjet output. Recommendations for updating and enhancing the performance of the ESAD computer system are listed.

iGlobe Interactive Visualization and Analysis of Spatial Data

NASA Technical Reports Server (NTRS)

Hogan, Patrick

2012-01-01

iGlobe is open-source software built on NASA World Wind virtual globe technology. iGlobe provides a growing set of tools for weather science, climate research, and agricultural analysis. Up until now, these types of sophisticated tools have been developed in isolation by national agencies, academic institutions, and research organizations. By providing an open-source solution to analyze and visualize weather, climate, and agricultural data, the scientific and research communities can more readily advance solutions needed to understand better the dynamics of our home planet, Earth

UNIVIEW: A computer graphics platform bringing information databases to life

NASA Astrophysics Data System (ADS)

Warnstam, J.

2008-06-01

Uniview is a PC-based software platform for three-dimensional exploration of the Universe and the visualisation of information that is located at any position in this Universe, be it on the surface of the Earth or many light-years away from home. What began as a collaborative project with the American Museum of Natural History1 in New York in 2003 has now evolved into one of the leading visualisation platforms for the planetarium and science centre market with customers in both Europe and USA.

The Texas Earth and Space Science (TXESS) Revolution: A Model for the Delivery of Earth Science Professional Development to Minority-Serving Teachers

ERIC Educational Resources Information Center

Ellins, K. K.; Snow, E.; Olson, H. C.; Stocks, E.; Willis, M.; Olson, J.; Odell, M. R.

2013-01-01

The Texas Earth and Space Science (TXESS) Revolution was a 5-y teacher professional development project that aimed to increase teachers' content knowledge in Earth science and preparing them to teach a 12th-grade capstone Earth and Space Science course, which is new to the Texas curriculum. The National Science Foundation-supported project was…

75 FR 81315 - Earth Sciences Proposal Review Panel; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-27

... NATIONAL SCIENCE FOUNDATION Earth Sciences Proposal Review Panel; Notice of Meeting In accordance... announces the following meeting. Name: Proposal Review Panel in Earth Sciences (1569). Date and Time... Kelz, Program Director, Instrumentation & Facilities Program, Division of Earth Sciences, Room 785...

seismo-live: Training in Seismology using Jupyter Notebooks

NASA Astrophysics Data System (ADS)

Igel, Heiner; Krischer, Lion; van Driel, Martin; Tape, Carl

2017-04-01

Practical training in computational methodologies is still underrepresented in Earth science curriculae despite the increasing use of sometimes highly sophisticated simulation and data processing technologies in research projects. At the same time well-engineered community codes make it easy to return results yet with the danger that the inherent traps of black-box solutions are not well understood. For this purpose we have initiated a community platform (www.seismo-live.org) where Python-based Jupyter notebooks can be accessed and run without necessary downloads or local software installations. The increasingly popular Jupyter notebooks allow combining markup language, graphics, equations, with interactive, executable python codes. The platform already includes general Python training, introduction to the ObsPy library for seismology as well as seismic data processing, noise analysis, and a variety of forward solvers for seismic wave propagation. In addition, an example is shown how Jupyter notebooks can be used to increase reproducibility of published results. Submission of Jupyter notebooks for general seismology are encouraged. The platform can be used for complementary teaching in Earth Science courses on compute-intensive research areas. We present recent developments and new features.

Using Cloud-based Storage Technologies for Earth Science Data

NASA Astrophysics Data System (ADS)

Michaelis, A.; Readey, J.; Votava, P.

2016-12-01

Cloud based infrastructure may offer several key benefits of scalability, built in redundancy and reduced total cost of ownership as compared with a traditional data center approach. However, most of the tools and software systems developed for NASA data repositories were not developed with a cloud based infrastructure in mind and do not fully take advantage of commonly available cloud-based technologies. Object storage services are provided through all the leading public (Amazon Web Service, Microsoft Azure, Google Cloud, etc.) and private (Open Stack) clouds, and may provide a more cost-effective means of storing large data collections online. We describe a system that utilizes object storage rather than traditional file system based storage to vend earth science data. The system described is not only cost effective, but shows superior performance for running many different analytics tasks in the cloud. To enable compatibility with existing tools and applications, we outline client libraries that are API compatible with existing libraries for HDF5 and NetCDF4. Performance of the system is demonstrated using clouds services running on Amazon Web Services.

Developing Data System Engineers

NASA Astrophysics Data System (ADS)

Behnke, J.; Byrnes, J. B.; Kobler, B.

2011-12-01

In the early days of general computer systems for science data processing, staff members working on NASA's data systems would most often be hired as mathematicians. Computer engineering was very often filled by those with electrical engineering degrees. Today, the Goddard Space Flight Center has special position descriptions for data scientists or as they are more commonly called: data systems engineers. These staff members are required to have very diverse skills, hence the need for a generalized position description. There is always a need for data systems engineers to develop, maintain and operate the complex data systems for Earth and space science missions. Today's data systems engineers however are not just mathematicians, they are computer programmers, GIS experts, software engineers, visualization experts, etc... They represent many different degree fields. To put together distributed systems like the NASA Earth Observing Data and Information System (EOSDIS), staff are required from many different fields. Sometimes, the skilled professional is not available and must be developed in-house. This paper will address the various skills and jobs for data systems engineers at NASA. Further it explores how to develop staff to become data scientists.

Trade-Off Analysis Report

NASA Technical Reports Server (NTRS)

Dhas, Chris

2000-01-01

NASAs Glenn Research Center (GRC) defines and develops advanced technology for high priority national needs in communications technologies for application to aeronautics and space. GRC tasked Computer Networks and Software Inc. (CNS) to examine protocols and architectures for an In-Space Internet Node. CNS has developed a methodology for network reference models to support NASAs four mission areas: Earth Science, Space Science, Human Exploration and Development of Space (REDS), Aerospace Technology. CNS previously developed a report which applied the methodology, to three space Internet-based communications scenarios for future missions. CNS conceptualized, designed, and developed space Internet-based communications protocols and architectures for each of the independent scenarios. GRC selected for further analysis the scenario that involved unicast communications between a Low-Earth-Orbit (LEO) International Space Station (ISS) and a ground terminal Internet node via a Tracking and Data Relay Satellite (TDRS) transfer. This report contains a tradeoff analysis on the selected scenario. The analysis examines the performance characteristics of the various protocols and architectures. The tradeoff analysis incorporates the results of a CNS developed analytical model that examined performance parameters.

Earth system science: A program for global change

NASA Technical Reports Server (NTRS)

1989-01-01

The Earth System Sciences Committee (ESSC) was appointed to consider directions for the NASA Earth-sciences program, with the following charge: review the science of the Earth as a system of interacting components; recommend an implementation strategy for Earth studies; and define the role of NASA in such a program. The challenge to the Earth system science is to develop the capability to predict those changes that will occur in the next decade to century, both naturally and in response to human activity. Sustained, long-term measurements of global variables; fundamental descriptions of the Earth and its history; research foci and process studies; development of Earth system models; an information system for Earth system science; coordination of Federal agencies; and international cooperation are examined.

Developing the Next Generation of Science Data System Engineers

NASA Technical Reports Server (NTRS)

Moses, John F.; Behnke, Jeanne; Durachka, Christopher D.

2016-01-01

At Goddard, engineers and scientists with a range of experience in science data systems are needed to employ new technologies and develop advances in capabilities for supporting new Earth and Space science research. Engineers with extensive experience in science data, software engineering and computer-information architectures are needed to lead and perform these activities. The increasing types and complexity of instrument data and emerging computer technologies coupled with the current shortage of computer engineers with backgrounds in science has led the need to develop a career path for science data systems engineers and architects.The current career path, in which undergraduate students studying various disciplines such as Computer Engineering or Physical Scientist, generally begins with serving on a development team in any of the disciplines where they can work in depth on existing Goddard data systems or serve with a specific NASA science team. There they begin to understand the data, infuse technologies, and begin to know the architectures of science data systems. From here the typical career involves peermentoring, on-the-job training or graduate level studies in analytics, computational science and applied science and mathematics. At the most senior level, engineers become subject matter experts and system architect experts, leading discipline-specific data centers and large software development projects. They are recognized as a subject matter expert in a science domain, they have project management expertise, lead standards efforts and lead international projects. A long career development remains necessary not only because of the breadth of knowledge required across physical sciences and engineering disciplines, but also because of the diversity of instrument data being developed today both by NASA and international partner agencies and because multidiscipline science and practitioner communities expect to have access to all types of observational data.This paper describes an approach to defining career-path guidance for college-bound high school and undergraduate engineering students, junior and senior engineers from various disciplines.

Developing the Next Generation of Science Data System Engineers

NASA Astrophysics Data System (ADS)

Moses, J. F.; Durachka, C. D.; Behnke, J.

2015-12-01

At Goddard, engineers and scientists with a range of experience in science data systems are needed to employ new technologies and develop advances in capabilities for supporting new Earth and Space science research. Engineers with extensive experience in science data, software engineering and computer-information architectures are needed to lead and perform these activities. The increasing types and complexity of instrument data and emerging computer technologies coupled with the current shortage of computer engineers with backgrounds in science has led the need to develop a career path for science data systems engineers and architects. The current career path, in which undergraduate students studying various disciplines such as Computer Engineering or Physical Scientist, generally begins with serving on a development team in any of the disciplines where they can work in depth on existing Goddard data systems or serve with a specific NASA science team. There they begin to understand the data, infuse technologies, and begin to know the architectures of science data systems. From here the typical career involves peer mentoring, on-the-job training or graduate level studies in analytics, computational science and applied science and mathematics. At the most senior level, engineers become subject matter experts and system architect experts, leading discipline-specific data centers and large software development projects. They are recognized as a subject matter expert in a science domain, they have project management expertise, lead standards efforts and lead international projects. A long career development remains necessary not only because of the breath of knowledge required across physical sciences and engineering disciplines, but also because of the diversity of instrument data being developed today both by NASA and international partner agencies and because multi-discipline science and practitioner communities expect to have access to all types of observational data. This paper describes an approach to defining career-path guidance for college-bound high school and undergraduate engineering students, junior and senior engineers from various disciplines.

Approaches for Improving Earth System Science Education in Middle Schools and High Schools in the United States (Invited)

NASA Astrophysics Data System (ADS)

Adams, P. E.

2009-12-01

Earth system science is an often neglected subject in the US science curriculum. The state of Kansas State Department of Education, for example, has provided teachers with a curriculum guide for incorporating earth system science as an ancillary topic within the subjects of physics, chemistry, and the biological sciences. While this does provide a means to have earth system science within the curriculum, it relegates earth system science topics to a secondary status. In practice, earth system science topics are considered optional or only taught if there is time within an already an overly crowded curriculum. Given the importance of developing an educated citizenry that is capable of understanding, coping, and deciding how to live in a world where climate change is a reality requires a deeper understanding of earth system science. The de-emphasis of earth system science in favor of other science disciplines makes it imperative to seek opportunities to provide teachers, whose primary subject is not earth system science, with professional development opportunities to develop content knowledge understanding of earth system science, and pedagogical content knowledge (i.e. effective strategies for teaching earth system science). This is a noble goal, but there is no single method. At Fort Hays State University we have developed multiple strategies from face-to-face workshops, on-line coursework, and academic year virtual and face-to-face consultations with in-service and pre-service teachers. A review of the techniques and measures of effectiveness (based on teacher and student performance), and strengths and limitations of each method will be presented as an aid to other institutions and programs seeking to improve the teaching and learning of earth system science in their region.

Applications of Earth Observations for Fisheries Management: An analysis of socioeconomic benefits

NASA Astrophysics Data System (ADS)

Friedl, L.; Kiefer, D. A.; Turner, W.

2013-12-01

This paper will discuss the socioeconomic impacts of a project applying Earth observations and models to support management and conservation of tuna and other marine resources in the eastern Pacific Ocean. A project team created a software package that produces statistical analyses and dynamic maps of habitat for pelagic ocean biota. The tool integrates sea surface temperature and chlorophyll imagery from MODIS, ocean circulation models, and other data products. The project worked with the Inter-American Tropical Tuna Commission, which issues fishery management information, such as stock assessments, for the eastern Pacific region. The Commission uses the tool and broader habitat information to produce better estimates of stock and thus improve their ability to identify species that could be at risk of overfishing. The socioeconomic analysis quantified the relative value that Earth observations contributed to accurate stock size assessments through improvements in calculating population size. The analysis team calculated the first-order economic costs of a fishery collapse (or shutdown), and they calculated the benefits of improved estimates that reduce the uncertainty of stock size and thus reduce the risk of fishery collapse. The team estimated that the project reduced the probability of collapse of different fisheries, and the analysis generated net present values of risk mitigation. USC led the project with sponsorship from the NASA Earth Science Division's Applied Sciences Program, which conducted the socioeconomic impact analysis. The paper will discuss the project and focus primarily on the analytic methods, impact metrics, and the results of the socioeconomic benefits analysis.

A crisis in the NASA space and earth sciences programme

NASA Technical Reports Server (NTRS)

Lanzerotti, Louis, J.; Rosendhal, Jeffrey D.; Black, David C.; Baker, D. James; Banks, Peter M.; Bretherton, Francis; Brown, Robert A.; Burke, Kevin C.; Burns, Joseph A.; Canizares, Claude R.

1987-01-01

Problems in the space and earth science programs are examined. Changes in the research environment and requirements for the space and earth sciences, for example from small Explorer missions to multispacecraft missions, have been observed. The need to expand the computational capabilities for space and earth sciences is discussed. The effects of fluctuations in funding, program delays, the limited number of space flights, and the development of the Space Station on research in the areas of astronomy and astrophysics, planetary exploration, solar and space physics, and earth science are analyzed. The recommendations of the Space and Earth Science Advisory Committee on the development and maintenance of effective space and earth sciences programs are described.

Impacts of an Inquiry Teaching Method on Earth Science Students' Learning Outcomes and Attitudes at the Secondary School Level.

ERIC Educational Resources Information Center

Mao, Song-Ling; Chang, Chun-Yen

This paper summarizes two companion studies that were designed to investigate the impacts of an inquiry teaching method on Earth science students' achievement and attitudes towards Earth science in secondary schools. Subjects were 557 students (9th grade) enrolled in 14 Earth science classes. Two Earth science units, including topics of astronomy…

The effects of a professional development geoscience education institute upon secondary school science teachers in Puerto Rico

NASA Astrophysics Data System (ADS)

Llerandi Roman, Pablo Antonio

The geographic and geologic settings of Puerto Rico served as the context to develop a mixed methods investigation on: (1) the effects of a five-day long constructivist and field-based earth science education professional development institute upon 26 secondary school science teachers' earth science conceptual knowledge, perceptions of fieldwork, and beliefs about teaching earth science; and (2) the implementation of participants' newly acquired knowledge and experience in their science lessons at school. Qualitative data included questionnaires, semi-structured interviews, reflective journals, pre-post concept maps, and pre-post lesson plans. The Geoscience Concept Inventory and the Science Outdoor Learning Environment Inventory were translated into Spanish and culturally validated to collect quantitative data. Data was analyzed through a constructivist grounded theory methodology, descriptive statistics, and non-parametric methods. Participants came to the institute with serious deficiencies in earth science conceptual understanding, negative earth science teaching perspectives, and inadequate earth science teaching methodologies. The institute helped participants to improve their understanding of earth science concepts, content, and processes mostly related to the study of rocks, the Earth's structure, plate tectonics, maps, and the geology of Puerto Rico. Participants also improved their earth science teaching beliefs, perceptions on field-based education, and reflected on their environmental awareness and social responsibility. Participants greatly benefited from the field-based learning environment, inquiry-based teaching approaches modeled, the attention given to their affective domain, and reflections on their teaching practice as part of the institute's activities. The constructivist learning environment and the institute's contextualized and meaningful learning conceptual model were effective in generating interest and confidence in earth science teaching. Some participants successfully integrated inquiry-based lessons on the nature of science and earth science at their schools, but were unsuccessful in integrating field trips. The lack of teacher education programs and the inadequacy of earth science conceptual and pedagogical understanding held by in-service teachers are the main barriers for effective earth science teaching in Puerto Rico. This study established a foundation for future earth science education projects for Latino teachers. Additionally, as a result of this investigation various recommendations were made to effectively implement earth science teacher education programs in Puerto Rico and internationally.

Freva - Freie Univ Evaluation System Framework for Scientific Infrastructures in Earth System Modeling

NASA Astrophysics Data System (ADS)

Kadow, Christopher; Illing, Sebastian; Kunst, Oliver; Schartner, Thomas; Kirchner, Ingo; Rust, Henning W.; Cubasch, Ulrich; Ulbrich, Uwe

2016-04-01

The Freie Univ Evaluation System Framework (Freva - freva.met.fu-berlin.de) is a software infrastructure for standardized data and tool solutions in Earth system science. Freva runs on high performance computers to handle customizable evaluation systems of research projects, institutes or universities. It combines different software technologies into one common hybrid infrastructure, including all features present in the shell and web environment. The database interface satisfies the international standards provided by the Earth System Grid Federation (ESGF). Freva indexes different data projects into one common search environment by storing the meta data information of the self-describing model, reanalysis and observational data sets in a database. This implemented meta data system with its advanced but easy-to-handle search tool supports users, developers and their plugins to retrieve the required information. A generic application programming interface (API) allows scientific developers to connect their analysis tools with the evaluation system independently of the programming language used. Users of the evaluation techniques benefit from the common interface of the evaluation system without any need to understand the different scripting languages. Facilitation of the provision and usage of tools and climate data automatically increases the number of scientists working with the data sets and identifying discrepancies. The integrated web-shell (shellinabox) adds a degree of freedom in the choice of the working environment and can be used as a gate to the research projects HPC. Plugins are able to integrate their e.g. post-processed results into the database of the user. This allows e.g. post-processing plugins to feed statistical analysis plugins, which fosters an active exchange between plugin developers of a research project. Additionally, the history and configuration sub-system stores every analysis performed with the evaluation system in a database. Configurations and results of the tools can be shared among scientists via shell or web system. Therefore, plugged-in tools benefit from transparency and reproducibility. Furthermore, if configurations match while starting an evaluation plugin, the system suggests to use results already produced by other users - saving CPU/h, I/O, disk space and time. The efficient interaction between different technologies improves the Earth system modeling science framed by Freva.

The ethics of Google Earth: crossing thresholds from spatial data to landscape visualisation.

PubMed

Sheppard, Stephen R J; Cizek, Petr

2009-05-01

'Virtual globe' software systems such as Google Earth are growing rapidly in popularity as a way to visualise and share 3D environmental data. Scientists and environmental professionals, many of whom are new to 3D modeling and visual communications, are beginning routinely to use such techniques in their work. While the appeal of these techniques is evident, with unprecedented opportunities for public access to data and collaborative engagement over the web, are there nonetheless risks in their widespread usage when applied in areas of the public interest such as planning and policy-making? This paper argues that the Google Earth phenomenon, which features realistic imagery of places, cannot be dealt with only as a question of spatial data and geographic information science. The virtual globe type of visualisation crosses several key thresholds in communicating scientific and environmental information, taking it well beyond the realm of conventional spatial data and geographic information science, and engaging more complex dimensions of human perception and aesthetic preference. The realism, perspective views, and social meanings of the landscape visualisations embedded in virtual globes invoke not only cognition but also emotional and intuitive responses, with associated issues of uncertainty, credibility, and bias in interpreting the imagery. This paper considers the types of risks as well as benefits that may exist with participatory uses of virtual globes by experts and lay-people. It is illustrated with early examples from practice and relevant themes from the literature in landscape visualisation and related disciplines such as environmental psychology and landscape planning. Existing frameworks and principles for the appropriate use of environmental visualisation methods are applied to the special case of widely accessible, realistic 3D and 4D visualisation systems such as Google Earth, in the context of public awareness-building and agency decision-making on environmental issues. Relevant principles are suggested which lend themselves to much-needed evaluation of risks and benefits of virtual globe systems. Possible approaches for balancing these benefits and risks include codes of ethics, software design, and metadata templates.

Freva - Freie Univ Evaluation System Framework for Scientific HPC Infrastructures in Earth System Modeling

NASA Astrophysics Data System (ADS)

Kadow, C.; Illing, S.; Schartner, T.; Grieger, J.; Kirchner, I.; Rust, H.; Cubasch, U.; Ulbrich, U.

2017-12-01

The Freie Univ Evaluation System Framework (Freva - freva.met.fu-berlin.de) is a software infrastructure for standardized data and tool solutions in Earth system science (e.g. www-miklip.dkrz.de, cmip-eval.dkrz.de). Freva runs on high performance computers to handle customizable evaluation systems of research projects, institutes or universities. It combines different software technologies into one common hybrid infrastructure, including all features present in the shell and web environment. The database interface satisfies the international standards provided by the Earth System Grid Federation (ESGF). Freva indexes different data projects into one common search environment by storing the meta data information of the self-describing model, reanalysis and observational data sets in a database. This implemented meta data system with its advanced but easy-to-handle search tool supports users, developers and their plugins to retrieve the required information. A generic application programming interface (API) allows scientific developers to connect their analysis tools with the evaluation system independently of the programming language used. Users of the evaluation techniques benefit from the common interface of the evaluation system without any need to understand the different scripting languages. The integrated web-shell (shellinabox) adds a degree of freedom in the choice of the working environment and can be used as a gate to the research projects HPC. Plugins are able to integrate their e.g. post-processed results into the database of the user. This allows e.g. post-processing plugins to feed statistical analysis plugins, which fosters an active exchange between plugin developers of a research project. Additionally, the history and configuration sub-system stores every analysis performed with the evaluation system in a database. Configurations and results of the tools can be shared among scientists via shell or web system. Furthermore, if configurations match while starting an evaluation plugin, the system suggests to use results already produced by other users - saving CPU/h, I/O, disk space and time. The efficient interaction between different technologies improves the Earth system modeling science framed by Freva.

Why Earth Science?

ERIC Educational Resources Information Center

Smith, Michael J.

2004-01-01

This article briefly describes Earth science. The study of Earth science provides the foundation for an understanding of the Earth, its processes, its resources, and its environment. Earth science is the study of the planet in its entirety, how its lithosphere, atmosphere, hydrosphere, and biosphere work together as systems and how they affect…

Strategy for earth explorers in global earth sciences

NASA Technical Reports Server (NTRS)

1988-01-01

The goal of the current NASA Earth System Science initiative is to obtain a comprehensive scientific understanding of the Earth as an integrated, dynamic system. The centerpiece of the Earth System Science initiative will be a set of instruments carried on polar orbiting platforms under the Earth Observing System program. An Earth Explorer program can open new vistas in the earth sciences, encourage innovation, and solve critical scientific problems. Specific missions must be rigorously shaped by the demands and opportunities of high quality science and must complement the Earth Observing System and the Mission to Planet Earth. The committee believes that the proposed Earth Explorer program provides a substantial opportunity for progress in the earth sciences, both through independent missions and through missions designed to complement the large scale platforms and international research programs that represent important national commitments. The strategy presented is intended to help ensure the success of the Earth Explorer program as a vital stimulant to the study of the planet.

77 FR 55863 - NASA Advisory Council; Science Committee; Earth Science Subcommittee; Applied Sciences Advisory...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-11

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice (12-072)] NASA Advisory Council; Science Committee; Earth Science Subcommittee; Applied Sciences Advisory Group Meeting AGENCY: National Aeronautics... the Applied Science Advisory Group. This Subcommittee reports to the Earth Science Subcommittee...

Common Earth Science Misconceptions in Science Teaching

ERIC Educational Resources Information Center

King, Chris

2012-01-01

A survey of the Earth science content of science textbooks found a wide range of misconceptions. These are discussed in this article with reference to the published literature on Earth science misconceptions. Most misconceptions occurred in the "sedimentary rocks and processes" and "Earth's structure and plate tectonics"…

Earth Science community support in the EGI-Inspire Project

NASA Astrophysics Data System (ADS)

Schwichtenberg, H.

2012-04-01

The Earth Science Grid community is following its strategy of propagating Grid technology to the ES disciplines, setting up interactive collaboration among the members of the community and stimulating the interest of stakeholders on the political level since ten years already. This strategy was described in a roadmap published in an Earth Science Informatics journal. It was applied through different European Grid projects and led to a large Grid Earth Science VRC that covers a variety of ES disciplines; in the end, all of them were facing the same kind of ICT problems. .. The penetration of Grid in the ES community is indicated by the variety of applications, the number of countries in which ES applications are ported, the number of papers in international journals and the number of related PhDs. Among the six virtual organisations belonging to ES, one, ESR, is generic. Three others -env.see-grid-sci.eu, meteo.see-grid-sci.eu and seismo.see-grid-sci.eu- are thematic and regional (South Eastern Europe) for environment, meteorology and seismology. The sixth VO, EGEODE, is for the users of the Geocluster software. There are also ES users in national VOs or VOs related to projects. The services for the ES task in EGI-Inspire concerns the data that are a key part of any ES application. The ES community requires several interfaces to access data and metadata outside of the EGI infrastructure, e.g. by using grid-enabled database interfaces. The data centres have also developed service tools for basic research activities such as searching, browsing and downloading these datasets, but these are not accessible from applications executed on the Grid. The ES task in EGI-Inspire aims to make these tools accessible from the Grid. In collaboration with GENESI-DR (Ground European Network for Earth Science Interoperations - Digital Repositories) this task is maintaining and evolving an interface in response to new requirements that will allow data in the GENESI-DR infrastructure to be accessed from EGI resources to enable future research activities by this HUC. The international climate community for IPCC has created the Earth System Grid (ESG) to store and share climate data. There is a need to interface ESG with EGI for climate studies - parametric, regional and impact aspects. Critical points concern the interoperability of security mechanism between both "organisations", data protection policy, data transfer, data storage and data caching. Presenter: Horst Schwichtenberg Co-Authors: Monique Petitdidier (IPSL), Andre Gemünd (SCAI), Wim Som de Cerff (KNMI), Michael Schnell (SCAI)

Balancing Science Objectives and Operational Constraints: A Mission Planner's Challenge

NASA Technical Reports Server (NTRS)

Weldy, Michelle

1996-01-01

The Air Force minute sensor technology integration (MSTI-3) satellite's primary mission is to characterize Earth's atmospheric background clutter. MSTI-3 will use three cameras for data collection, a mid-wave infrared imager, a short wave infrared imager, and a visible imaging spectrometer. Mission science objectives call for the collection of over 2 million images within the one year mission life. In addition, operational constraints limit camera usage to four operations of twenty minutes per day, with no more than 10,000 data and calibrating images collected per day. To balance the operational constraints and science objectives, the mission planning team has designed a planning process to e event schedules and sensor operation timelines. Each set of constraints, including spacecraft performance capabilities, the camera filters, the geographical regions, and the spacecraft-Sun-Earth geometries of interest, and remote tracking station deconflictions has been accounted for in this methodology. To aid in this process, the mission planning team is building a series of tools from commercial off-the-shelf software. These include the mission manifest which builds a daily schedule of events, and the MSTI Scene Simulator which helps build geometrically correct scans. These tools provide an efficient, responsive, and highly flexible architecture that maximizes data collection while minimizing mission planning time.

Bridging the gap with a duel-credit Earth Science course

NASA Astrophysics Data System (ADS)

Van Norden, W.

2011-12-01

College-bound high school students rarely have any exposure to the Earth Sciences. Earth Science may be offered to Middle School students. What is offered in High School, however, is usually a watered-down course offered to the weakest students. Meanwhile, our best and brightest students are steered towards biology, chemistry, and physics, what most schools consider the "real sciences". As a direct result, our population is not literate in the Earth Sciences and few students choose to study the Earth Science in college. One way to counteract this trend is to offer a rigorous capstone Earth Science course to High School Juniors and Seniors. Offering a course does not guarantee enrollment, however. Top science students are too busy taking Advanced Placement courses to consider a non-AP course. For that reason, the best way to lure top students into studying Earth Science is to create a duel-credit course, for which students receive both high school and college credit. A collaboration between high school teachers and college professors can result in a quality Earth Science course that bridges the huge gap that now exists between middle school science and college Earth Science. Harvard-Westlake School has successfully offered a duel-credit course with UCLA, and has created a model that can be used by other schools.

An Analysis of Misconceptions in Science Textbooks: Earth science in England and Wales

NASA Astrophysics Data System (ADS)

King, Chris John Henry

2010-03-01

Surveys of the earth science content of all secondary (high school) science textbooks and related publications used in England and Wales have revealed high levels of error/misconception. The 29 science textbooks or textbook series surveyed (51 texts in all) showed poor coverage of National Curriculum earth science and contained a mean level of one earth science error/misconception per page. Science syllabuses and examinations surveyed also showed errors/misconceptions. More than 500 instances of misconception were identified through the surveys. These were analysed for frequency, indicating that those areas of the earth science curriculum most prone to misconception are sedimentary processes/rocks, earthquakes/Earth's structure, and plate tectonics. For the 15 most frequent misconceptions, examples of quotes from the textbooks are given, together with the scientific consensus view, a discussion, and an example of a misconception of similar significance in another area of science. The misconceptions identified in the surveys are compared with those described in the literature. This indicates that the misconceptions found in college students and pre-service/practising science teachers are often also found in published materials, and therefore are likely to reinforce the misconceptions in teachers and their students. The analysis may also reflect the prevalence earth science misconceptions in the UK secondary (high school) science-teaching population. The analysis and discussion provide the opportunity for writers of secondary science materials to improve their work on earth science and to provide a platform for improved teaching and learning of earth science in the future.

75 FR 60484 - NASA Advisory Council; Science Committee; Earth Science Subcommittee; Applied Sciences Advisory...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-30

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice: (10-115)] NASA Advisory Council; Science Committee; Earth Science Subcommittee; Applied Sciences Advisory Group Meeting AGENCY: National Aeronautics...) announces a meeting of the Applied Science Advisory Group. This Subcommittee reports to the Earth Science...

Digital Curation of Earth Science Samples Starts in the Field

NASA Astrophysics Data System (ADS)

Lehnert, K. A.; Hsu, L.; Song, L.; Carter, M. R.

2014-12-01

Collection of physical samples in the field is an essential part of research in the Earth Sciences. Samples provide a basis for progress across many disciplines, from the study of global climate change now and over the Earth's history, to present and past biogeochemical cycles, to magmatic processes and mantle dynamics. The types of samples, methods of collection, and scope and scale of sampling campaigns are highly diverse, ranging from large-scale programs to drill rock and sediment cores on land, in lakes, and in the ocean, to environmental observation networks with continuous sampling, to single investigator or small team expeditions to remote areas around the globe or trips to local outcrops. Cyberinfrastructure for sample-related fieldwork needs to cater to the different needs of these diverse sampling activities, aligning with specific workflows, regional constraints such as connectivity or climate, and processing of samples. In general, digital tools should assist with capture and management of metadata about the sampling process (location, time, method) and the sample itself (type, dimension, context, images, etc.), management of the physical objects (e.g., sample labels with QR codes), and the seamless transfer of sample metadata to data systems and software relevant to the post-sampling data acquisition, data processing, and sample curation. In order to optimize CI capabilities for samples, tools and workflows need to adopt community-based standards and best practices for sample metadata, classification, identification and registration. This presentation will provide an overview and updates of several ongoing efforts that are relevant to the development of standards for digital sample management: the ODM2 project that has generated an information model for spatially-discrete, feature-based earth observations resulting from in-situ sensors and environmental samples, aligned with OGC's Observation & Measurements model (Horsburgh et al, AGU FM 2014); implementation of the IGSN (International Geo Sample Number) as a globally unique sample identifier via a distributed system of allocating agents and a central registry; and the EarthCube Research Coordination Network iSamplES (Internet of Samples in the Earth Sciences) that aims to improve sharing and curation of samples through the use of CI.

NASA's Earth Science Flight Program Meets the Challenges of Today and Tomorrow

NASA Technical Reports Server (NTRS)

Ianson, Eric E.

2016-01-01

NASA's Earth science flight program is a dynamic undertaking that consists of a large fleet of operating satellites, an array of satellite and instrument projects in various stages of development, a robust airborne science program, and a massive data archiving and distribution system. Each element of the flight program is complex and present unique challenges. NASA builds upon its successes and learns from its setbacks to manage this evolving portfolio to meet NASA's Earth science objectives. NASA fleet of 16 operating missions provide a wide range of scientific measurements made from dedicated Earth science satellites and from instruments mounted to the International Space Station. For operational missions, the program must address issues such as an aging satellites operating well beyond their prime mission, constellation flying, and collision avoidance with other spacecraft and orbital debris. Projects in development are divided into two broad categories: systematic missions and pathfinders. The Earth Systematic Missions (ESM) include a broad range of multi-disciplinary Earth-observing research satellite missions aimed at understanding the Earth system and its response to natural and human-induced forces and changes. Understanding these forces will help determine how to predict future changes, and how to mitigate or adapt to these changes. The Earth System Science Pathfinder (ESSP) program provides frequent, regular, competitively selected Earth science research opportunities that accommodate new and emerging scientific priorities and measurement capabilities. This results in a series of relatively low-cost, small-sized investigations and missions. Principal investigators whose scientific objectives support a variety of studies lead these missions, including studies of the atmosphere, oceans, land surface, polar ice regions, or solid Earth. This portfolio of missions and investigations provides opportunity for investment in innovative Earth science that enhances NASA's capability for better understanding the current state of the Earth system. ESM and ESSP projects often involve partnerships with other US agencies and/or international organizations. This adds to the complexity of mission development, but allows for a greater scientific return on NASA's investments. The Earth Science Airborne Science Program provides manned and unmanned aircraft systems that further science and advance the use of satellite data. NASA uses these assets worldwide in campaigns to investigate extreme weather events, observe Earth system processes, obtain data for Earth science modeling activities, and calibrate instruments flying aboard Earth science spacecraft. The Airborne Science Program has six dedicated aircraft and access to many other platforms. The Earth Science Multi-Mission Operations program acquires, preserves, and distributes observational data from operating spacecraft to support Earth Science research focus areas. The Earth Observing System Data and Information System (EOSDIS), which has been in operations since 1994, primarily accomplishes this. EOSDIS acquires, processes, archives, and distributes Earth Science data and information products. The archiving of NASA Earth Science information happens at eight Distributed Active Archive Centers (DAACs) and four disciplinary data centers located across the United States. The DAACs specialize by topic area, and make their data available to researchers around the world. The DAACs currently house over 9 petabytes of data, growing at a rate of 6.4 terabytes per day. NASA's current Earth Science portfolio is responsive to the National Research Council (NRC) 2007 Earth Science Decadal Survey and well as the 2010 NASA Response to President Obama's Climate Plan. As the program evolves into the future it will leverage the lessons learned from the current missions in operations and development, and plan for adjustments to future objectives in response to the anticipated 2017 NRC Decadal Survey.

Development of software for geodynamic processes monitoring system

NASA Astrophysics Data System (ADS)

Kabanov, M. M.; Kapustin, S. N.; Gordeev, V. F.; Botygin, I. A.; Tartakovsky, V. A.

2017-11-01

This article justifies the usage of natural pulsed electromagnetic Earth's noises logging method for mapping anomalies of strain-stress state of Earth's crust. The methods and technologies for gathering, processing and systematization of data gathered by ground multi-channel geophysical loggers for monitoring geomagnetic situation have been experimentally tested, and software had been developed. The data was consolidated in a network storage and can be accessed without using any specialized client software. The article proposes ways to distinguish global and regional small-scale time-space variations of Earth's natural electromagnetic field. For research purposes, the software provides a way to export data for any given period of time for any loggers and displays measurement data charts for selected set of stations.

Assessing Gains in Science Teaching Self-Efficacy after Completing an Inquiry-Based Earth Science Course

ERIC Educational Resources Information Center

Gray, Kyle

2017-01-01

Preservice elementary teachers are often required to take an Earth Science content course as part of their teacher education program but typically enter the course with little knowledge of key Earth Science concepts and are uncertain in their ability to teach science. This study investigated whether completing an inquiry-based Earth Science course…

Map_plot and bgg_plot: software for integration of geoscience datasets

NASA Astrophysics Data System (ADS)

Gaillot, Philippe; Punongbayan, Jane T.; Rea, Brice

2004-02-01

Since 1985, the Ocean Drilling Program (ODP) has been supporting multidisciplinary research in exploring the structure and history of Earth beneath the oceans. After more than 200 Legs, complementary datasets covering different geological environments, periods and space scales have been obtained and distributed world-wide using the ODP-Janus and Lamont Doherty Earth Observatory-Borehole Research Group (LDEO-BRG) database servers. In Earth Sciences, more than in any other science, the ensemble of these data is characterized by heterogeneous formats and graphical representation modes. In order to fully and quickly assess this information, a set of Unix/Linux and Generic Mapping Tool-based C programs has been designed to convert and integrate datasets acquired during the present ODP and the future Integrated ODP (IODP) Legs. Using ODP Leg 199 datasets, we show examples of the capabilities of the proposed programs. The program map_plot is used to easily display datasets onto 2-D maps. The program bgg_plot (borehole geology and geophysics plot) displays data with respect to depth and/or time. The latter program includes depth shifting, filtering and plotting of core summary information, continuous and discrete-sample core measurements (e.g. physical properties, geochemistry, etc.), in situ continuous logs, magneto- and bio-stratigraphies, specific sedimentological analyses (lithology, grain size, texture, porosity, etc.), as well as core and borehole wall images. Outputs from both programs are initially produced in PostScript format that can be easily converted to Portable Document Format (PDF) or standard image formats (GIF, JPEG, etc.) using widely distributed conversion programs. Based on command line operations and customization of parameter files, these programs can be included in other shell- or database-scripts, automating plotting procedures of data requests. As an open source software, these programs can be customized and interfaced to fulfill any specific plotting need of geoscientists using ODP-like datasets.

Viirs Land Science Investigator-Led Processing System

NASA Astrophysics Data System (ADS)

Devadiga, S.; Mauoka, E.; Roman, M. O.; Wolfe, R. E.; Kalb, V.; Davidson, C. C.; Ye, G.

2015-12-01

The objective of the NASA's Suomi National Polar Orbiting Partnership (S-NPP) Land Science Investigator-led Processing System (Land SIPS), housed at the NASA Goddard Space Flight Center (GSFC), is to produce high quality land products from the Visible Infrared Imaging Radiometer Suite (VIIRS) to extend the Earth System Data Records (ESDRs) developed from NASA's heritage Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the EOS Terra and Aqua satellites. In this paper we will present the functional description and capabilities of the S-NPP Land SIPS, including system development phases and production schedules, timeline for processing, and delivery of land science products based on coordination with the S-NPP Land science team members. The Land SIPS processing stream is expected to be operational by December 2016, generating land products either using the NASA science team delivered algorithms, or the "best-of" science algorithms currently in operation at NASA's Land Product Evaluation and Algorithm Testing Element (PEATE). In addition to generating the standard land science products through processing of the NASA's VIIRS Level 0 data record, the Land SIPS processing system is also used to produce a suite of near-real time products for NASA's application community. Land SIPS will also deliver the standard products, ancillary data sets, software and supporting documentation (ATBDs) to the assigned Distributed Active Archive Centers (DAACs) for archival and distribution. Quality assessment and validation will be an integral part of the Land SIPS processing system; the former being performed at Land Data Operational Product Evaluation (LDOPE) facility, while the latter under the auspices of the CEOS Working Group on Calibration & Validation (WGCV) Land Product Validation (LPV) Subgroup; adopting the best-practices and tools used to assess the quality of heritage EOS-MODIS products generated at the MODIS Adaptive Processing System (MODAPS).

The Earth System Documentation (ES-DOC) Software Process

NASA Astrophysics Data System (ADS)

Greenslade, M. A.; Murphy, S.; Treshansky, A.; DeLuca, C.; Guilyardi, E.; Denvil, S.

2013-12-01

Earth System Documentation (ES-DOC) is an international project supplying high-quality tools & services in support of earth system documentation creation, analysis and dissemination. It is nurturing a sustainable standards based documentation eco-system that aims to become an integral part of the next generation of exa-scale dataset archives. ES-DOC leverages open source software, and applies a software development methodology that places end-user narratives at the heart of all it does. ES-DOC has initially focused upon nurturing the Earth System Model (ESM) documentation eco-system and currently supporting the following projects: * Coupled Model Inter-comparison Project Phase 5 (CMIP5); * Dynamical Core Model Inter-comparison Project (DCMIP); * National Climate Predictions and Projections Platforms Quantitative Evaluation of Downscaling Workshop. This talk will demonstrate that ES-DOC implements a relatively mature software development process. Taking a pragmatic Agile process as inspiration, ES-DOC: * Iteratively develops and releases working software; * Captures user requirements via a narrative based approach; * Uses online collaboration tools (e.g. Earth System CoG) to manage progress; * Prototypes applications to validate their feasibility; * Leverages meta-programming techniques where appropriate; * Automates testing whenever sensibly feasible; * Streamlines complex deployments to a single command; * Extensively leverages GitHub and Pivotal Tracker; * Enforces strict separation of the UI from underlying API's; * Conducts code reviews.

Extreme Mapping: Looking for Water on the Moon

NASA Technical Reports Server (NTRS)

Cohen, Tamar

2016-01-01

There are many challenges when exploring extreme environments. Gathering accurate data to build maps about places that you cannot go is incredibly complex. NASA supports scientists by remotely operating robotic rovers to explore uncharted territories. One potential upcoming mission is to look for water near a lunar pole (the Resource Prospector mission). Learn about the technical hurdles and research steps that NASA takes before the mission. NASA practices on Earth with Mission Analogs which simulate the proposed mission. This includes going to lunar-type landscapes, building field networks, testing out rovers, instruments and operational procedures. NASA sets up remote science back rooms just as there are for actual missions. NASA develops custom Ground Data Systems software to support scientific mission planning and monitoring over variable time delays, and separate commanding software and infrastructure to operate the rovers.

ESPC Common Model Architecture Earth System Modeling Framework (ESMF) Software and Application Development

DTIC Science & Technology

2015-09-30

originate from NASA , NOAA , and community modeling efforts, and support for creation of the suite was shared by sponsors from other agencies. ESPS...Framework (ESMF) Software and Application Development Cecelia Deluca NESII/CIRES/ NOAA Earth System Research Laboratory 325 Broadway Boulder, CO...Capability (NUOPC) was established between NOAA and Navy to develop a common software architecture for easy and efficient interoperability. The

The "Earth Physics" Workshops Offered by the Earth Science Education Unit

ERIC Educational Resources Information Center

Davies, Stephen

2012-01-01

Earth science has a part to play in broadening students' learning experience in physics. The Earth Science Education Unit presents a range of (free) workshops to teachers and trainee teachers, suggesting how Earth-based science activities, which show how we understand and use the planet we live on, can easily be slotted into normal science…

EOS Aqua: Mission Status at the Earth Science Constellation (ESC) Mission Operations Working Group (MOWG) Meeting at the Kennedy Space Center (KSC)

NASA Technical Reports Server (NTRS)

Guit, Bill

2017-01-01

This presentation at the Earth Science Constellation Mission Operations Working Group meeting at KSC in December 2017 to discuss EOS (Earth Observing System) Aqua Earth Science Constellation status. Reviewed and approved by Eric Moyer, ESMO (Earth Science Mission Operations) Deputy Project Manager.

Earth Science: Then and Now

ERIC Educational Resources Information Center

Orgren, James R.

1969-01-01

Reviews history of earth science in secondary schools. From early nineteenth century to the present, earth science (and its antecedents, geology, physical geography, and astronomy) has had an erratic history for several reasons, but particularly because of lack of earth science teacher-training programs. (BR)

Undergraduate students' earth science learning: relationships among conceptions, approaches, and learning self-efficacy in Taiwan

NASA Astrophysics Data System (ADS)

Shen, Kuan-Ming; Lee, Min-Hsien; Tsai, Chin-Chung; Chang, Chun-Yen

2016-06-01

In the area of science education research, studies have attempted to investigate conceptions of learning, approaches to learning, and self-efficacy, mainly focusing on science in general or on specific subjects such as biology, physics, and chemistry. However, few empirical studies have probed students' earth science learning. This study aimed to explore the relationships among undergraduates' conceptions of, approaches to, and self-efficacy for learning earth science by adopting the structural equation modeling technique. A total of 268 Taiwanese undergraduates (144 females) participated in this study. Three instruments were modified to assess the students' conceptions of, approaches to, and self-efficacy for learning earth science. The results indicated that students' conceptions of learning made a significant contribution to their approaches to learning, which were consequently correlated with their learning self-efficacy. More specifically, students with stronger agreement that learning earth science involves applying the knowledge and skills learned to unknown problems were prone to possess higher confidence in learning earth science. Moreover, students viewing earth science learning as understanding earth science knowledge were more likely to adopt meaningful strategies to learn earth science, and hence expressed a higher sense of self-efficacy. Based on the results, practical implications and suggestions for future research are discussed.

A Web-Based Earth-Systems Knowledge Portal and Collaboration Platform

NASA Astrophysics Data System (ADS)

D'Agnese, F. A.; Turner, A. K.

2010-12-01

In support of complex water-resource sustainability projects in the Great Basin region of the United States, Earth Knowledge, Inc. has developed several web-based data management and analysis platforms that have been used by its scientists, clients, and public to facilitate information exchanges, collaborations, and decision making. These platforms support accurate water-resource decision-making by combining second-generation internet (Web 2.0) technologies with traditional 2D GIS and web-based 2D and 3D mapping systems such as Google Maps, and Google Earth. Most data management and analysis systems use traditional software systems to address the data needs and usage behavior of the scientific community. In contrast, these platforms employ more accessible open-source and “off-the-shelf” consumer-oriented, hosted web-services. They exploit familiar software tools using industry standard protocols, formats, and APIs to discover, process, fuse, and visualize earth, engineering, and social science datasets. Thus, they respond to the information needs and web-interface expectations of both subject-matter experts and the public. Because the platforms continue to gather and store all the contributions of their broad-spectrum of users, each new assessment leverages the data, information, and expertise derived from previous investigations. In the last year, Earth Knowledge completed a conceptual system design and feasibility study for a platform, which has a Knowledge Portal providing access to users wishing to retrieve information or knowledge developed by the science enterprise and a Collaboration Environment Module, a framework that links the user-access functions to a Technical Core supporting technical and scientific analyses including Data Management, Analysis and Modeling, and Decision Management, and to essential system administrative functions within an Administrative Module. The over-riding technical challenge is the design and development of a single technical platform that is accessed through a flexible series of knowledge portal and collaboration environment styles reflecting the information needs and user expectations of a diverse community of users. Recent investigations have defined the information needs and expectations of the major end-users and also have reviewed and assessed a wide variety of modern web-based technologies. Combining these efforts produced design specifications and recommendations for the selection and integration of web- and client-based tools. When fully developed, the resulting platform will: -Support new, advanced information systems and decision environments that take full advantage of multiple data sources and platforms; -Provide a distribution network tailored to the timely delivery of products to a broad range of users that are needed to support applications in disaster management, resource management, energy, and urban sustainability; -Establish new integrated multiple-user requirements and knowledge databases that support researchers and promote infusion of successful technologies into existing processes; and -Develop new decision support strategies and presentation methodologies for applied earth science applications to reduce risk, cost, and time.

A Framework for Orbital Performance Evaluation in Distributed Space Missions for Earth Observation

NASA Technical Reports Server (NTRS)

Nag, Sreeja; LeMoigne-Stewart, Jacqueline; Miller, David W.; de Weck, Olivier

2015-01-01

Distributed Space Missions (DSMs) are gaining momentum in their application to earth science missions owing to their unique ability to increase observation sampling in spatial, spectral and temporal dimensions simultaneously. DSM architectures have a large number of design variables and since they are expected to increase mission flexibility, scalability, evolvability and robustness, their design is a complex problem with many variables and objectives affecting performance. There are very few open-access tools available to explore the tradespace of variables which allow performance assessment and are easy to plug into science goals, and therefore select the most optimal design. This paper presents a software tool developed on the MATLAB engine interfacing with STK, for DSM orbit design and selection. It is capable of generating thousands of homogeneous constellation or formation flight architectures based on pre-defined design variable ranges and sizing those architectures in terms of predefined performance metrics. The metrics can be input into observing system simulation experiments, as available from the science teams, allowing dynamic coupling of science and engineering designs. Design variables include but are not restricted to constellation type, formation flight type, FOV of instrument, altitude and inclination of chief orbits, differential orbital elements, leader satellites, latitudes or regions of interest, planes and satellite numbers. Intermediate performance metrics include angular coverage, number of accesses, revisit coverage, access deterioration over time at every point of the Earth's grid. The orbit design process can be streamlined and variables more bounded along the way, owing to the availability of low fidelity and low complexity models such as corrected HCW equations up to high precision STK models with J2 and drag. The tool can thus help any scientist or program manager select pre-Phase A, Pareto optimal DSM designs for a variety of science goals without having to delve into the details of the engineering design process.

Examining the Features of Earth Science Logical Reasoning and Authentic Scientific Inquiry Demonstrated in a High School Earth Science Curriculum: A Case Study

ERIC Educational Resources Information Center

Park, Do-Yong; Park, Mira

2013-01-01

The purpose of this study was to investigate the inquiry features demonstrated in the inquiry tasks of a high school Earth Science curriculum. One of the most widely used curricula, Holt Earth Science, was chosen for this case study to examine how Earth Science logical reasoning and authentic scientific inquiry were related to one another and how…

Tools and Data Services from the NASA Earth Satellite Observations for Climate Applications

NASA Technical Reports Server (NTRS)

Vicente, Gilberto A.

2005-01-01

Climate science and applications require access to vast amounts of archived high quality data, software tools and services for data manipulation and information extraction. These on the other hand require gaining detailed understanding of the data's internal structure and physical implementation to data reduction, combination and data product production. This time-consuming task must be undertaken before the core investigation can begin and is an especially difficult challenge when science objectives require users to deal with large multi-sensor data sets of different formats, structures, and resolutions. In order to address these issues the Goddard Space Flight Center (GSFC) Earth Sciences (GES), Data and Information Service Center (DISC) Distributed Active Archive Center (DAAC) has made great progress in facilitating science and applications research by developing innovative tools and data services applied to the Earth sciences atmospheric and climate data. The GES/DISC/DAAC has successfully implemented and maintained a long-term climate satellite data archive and developed tools and services to a variety of atmospheric science missions including AIRS, AVHRR, MODIS, SeaWiFS, SORCE, TOMS, TOVS, TRMM, and UARS and Aura instruments providing researchers with excellent opportunities to acquire accurate and continuous atmospheric measurements. Since the number of climate science products from these various missions is steadily increasing as a result of more sophisticated sensors and new science algorithms, the main challenge for data centers like the GES/DISC/DAAC is to guide users through the variety of data sets and products, provide tools to visualize and reduce the volume of the data and secure uninterrupted and reliable access to data and related products. This presentation will describe the effort at the GES/DISC/DAAC to build a bridge between multi-sensor data and the effective scientific use of the data, with an emphasis on the heritage satellite observations and science products for climate applications. The intent is to inform users of the existence of this large collection of data and products; suggest starting points for cross-platform science projects and data mining activities and provide data services and tools information. More information about the GES/DISC/DAAC satellite data and products, tools, and services can be found at http://daac.gsfc.nasa.gov.

Earth Science Information Center

USGS Publications Warehouse

,

1991-01-01

An ESIC? An Earth Science Information Center. Don't spell it. Say it. ESIC. It rhymes with seasick. You can find information in an information center, of course, and you'll find earth science information in an ESIC. That means information about the land that is the Earth, the land that is below the Earth, and in some instances, the space surrounding the Earth. The U.S. Geological Survey (USGS) operates a network of Earth Science Information Centers that sell earth science products and data. There are more than 75 ESIC's. Some are operated by the USGS, but most are in other State or Federal agencies. Each ESIC responds to requests for information received by telephone, letter, or personal visit. Your personal visit.

Using the VEPP website in a Master of Education in Earth Sciences course (Invited)

NASA Astrophysics Data System (ADS)

Richardson, E.

2010-12-01

Secondary science teachers are better able to transmit the excitement of the process of science when they have access to real-time or near-real-time datasets. Large digital databases are ubiquitous in many subfields of the geosciences; the experience of working with such data is valuable as an authentic teaching and learning tool. In Penn State’s Master of Education in Earth Sciences program, course activities are carefully designed keeping in mind the twin goals of the program: teachers will participate in the process of science by interacting with genuine scientific data, and teachers will observe the process of science by reading and discussing scientific papers. A second objective is for teachers to be able to repurpose any activities and datasets for their own classrooms. Therefore, course activities must use openly available data in a format requiring little or no pre-processing. Here I present an example of such an activity involving near-real-time data made available by the Volcano Exploration Project at Pu’u O’o (VEPP). It is designed as a problem set housed in a week-long lesson concerning volcanic eruptions. Students read a paper in which recent volcanic activity at Kilauea’s east flank is described based on observations from several instruments. They use the figures and data presented in the paper to predict hypothetical instrument responses to certain volcanic activities, and calculate the rate of magma movement based on measured seismicity. Next, students must interact with the web-based VALVE software package available at the VEPP website which allows them to visualize several kinds of geophysical data sources collected at Pu’u O’o. Their assignment is to discover and describe a recent deflation-inflation caldera event recorded simultaneously by seismometers, GPS stations, and tiltmeters. The course in which this problem set is given has been taught twice since this activity was designed: spring and summer semesters 2010. Students were able to interact effectively with the VEPP website as well as the VALVE3 software. They reported in an informal poll that their experience working with this data enabled them to convey to their own students the importance of making scientific observations with a variety of instruments that work in concert to monitor a system of interest.

Beautiful Earth: Inspiring Native American students in Earth Science through Music, Art and Science

NASA Astrophysics Data System (ADS)

Casasanto, V.; Rock, J.; Hallowell, R.; Williams, K.; Angell, D.; Beautiful Earth

2011-12-01

The Beautiful Earth program, awarded by NASA's Competitive Opportunities in Education and Public Outreach for Earth and Space Science (EPOESS), is a live multi-media performance at partner science centers linked with hands-on workshops featuring Earth scientists and Native American experts. It aims to inspire, engage and educate diverse students in Earth science through an experience of viewing the Earth from space as one interconnected whole, as seen through the eyes of astronauts. The informal education program is an outgrowth of Kenji Williams' BELLA GAIA Living Atlas Experience (www.bellagaia.com) performed across the globe since 2008 and following the successful Earth Day education events in 2009 and 2010 with NASA's DLN (Digital Learning Network) http://tinyurl.com/2ckg2rh. Beautiful Earth takes a new approach to teaching, by combining live music and data visualizations, Earth Science with indigenous perspectives of the Earth, and hands-on interactive workshops. The program will utilize the emotionally inspiring multi-media show as a springboard to inspire participants to learn more about Earth systems and science. Native Earth Ways (NEW) will be the first module in a series of three "Beautiful Earth" experiences, that will launch the national tour at a presentation in October 2011 at the MOST science museum in collaboration with the Onandaga Nation School in Syracuse, New York. The NEW Module will include Native American experts to explain how they study and conserve the Earth in their own unique ways along with hands-on activities to convey the science which was seen in the show. In this first pilot run of the module, 110 K-12 students with faculty and family members of the Onandaga Nations School will take part. The goal of the program is to introduce Native American students to Earth Sciences and STEM careers, and encourage them to study these sciences and become responsible stewards of the Earth. The second workshop presented to participants will be the Spaceship Earth Scientist (SES) Module, featuring an Earth Scientist expert discussing the science seen in the presentation. Hands-on activities such as sea ice melting simulations will be held with participants. Results from these first pilot education experiences will be presented at the 2011 AGU.

Using the earth system for integrating the science curriculum

NASA Astrophysics Data System (ADS)

Mayer, Victor J.

Content and process instruction from the earth sciences has gone unrepresented in the world's science curricula, especially at the secondary level. As a result there is a serious deficiency in public understanding of the planet on which we all live. This lack includes national and international leaders in politics, business, and science. The earth system science effort now engaging the research talent of the earth sciences provides a firm foundation from the sciences for inclusion of earth systems content into the evolving integrated science curricula of this country and others. Implementing integrated science curricula, especially at the secondary level where potential leaders often have their only exposure to science, can help to address these problems. The earth system provides a conceptual theme as opposed to a disciplinary theme for organizing such integrated curricula, absent from prior efforts. The end of the cold war era is resulting in a reexamination of science and the influence it has had on our planet and society. In the future, science and the curricula that teach about science must seriously address the environmental and social problems left in the wake of over 100 years of preparation for military and economic war. The earth systems education effort provides one such approach to the modernization of science curricula. Earth science educators should assume leadership in helping to establish such curricula in this country and around the world.

Exploring Secondary Science Teachers' Perceptions on the Goals of Earth Science Education in Taiwan

ERIC Educational Resources Information Center

Chang, Chun-Yen; Chang, Yueh-Hsia; Yang, Fang-Ying

2009-01-01

The educational reform movement since the 1990s has led the secondary earth science curriculum in Taiwan into a stage of reshaping. The present study investigated secondary earth science teachers' perceptions on the Goals of Earth Science Education (GESE). The GESE should express the statements of philosophy and purpose toward which educators…

Earth Science: It's All about the Processes

ERIC Educational Resources Information Center

King, Chris

2013-01-01

Readers of the draft new English primary science curriculum (DfE, 2012) might be concerned to see that there is much more detail on the Earth science content than previously in the United Kingdom. In this article, Chris King, a professor of Earth Science Education at Keele University and Director of the Earth Science Education Unit (ESEU),…

Utilizing Remote Sensing Data to Ascertain Soil Moisture Applications and Air Quality Conditions

NASA Technical Reports Server (NTRS)

Leptoukh, Gregory; Kempler, Steve; Teng, William; Friedl, Lawrence; Lynnes, Chris

2009-01-01

Recognizing the significance of NASA remote sensing Earth science data in monitoring and better understanding our planet's natural environment, NASA Earth Applied Sciences has implemented the 'Decision Support Through Earth Science Research Results' program. Several applications support systems through collaborations with benefiting organizations have been implemented. The Goddard Earth Sciences Data and Information Services Center (GES DISC) has participated in this program on two projects (one complete, one ongoing), and has had opportune ad hoc collaborations utilizing NASA Earth science data. GES DISC's understanding of Earth science missions and resulting data and information enables the GES DISC to identify challenges that come with bringing science data to research applications. In this presentation we describe applications research projects utilizing NASA Earth science data and a variety of resulting GES DISC applications support system project experiences. In addition, defining metrics that really evaluate success will be exemplified.

Resources and References for Earth Science Teachers

ERIC Educational Resources Information Center

Wall, Charles A.; Wall, Janet E.

1976-01-01

Listed are resources and references for earth science teachers including doctoral research, new textbooks, and professional literature in astronomy, space science, earth science, geology, meteorology, and oceanography. (SL)

Leveraging Open Standards and Technologies to Enhance Community Access to Earth Science Lidar Data

NASA Astrophysics Data System (ADS)

Crosby, C. J.; Nandigam, V.; Krishnan, S.; Cowart, C.; Baru, C.; Arrowsmith, R.

2011-12-01

Lidar (Light Detection and Ranging) data, collected from space, airborne and terrestrial platforms, have emerged as an invaluable tool for a variety of Earth science applications ranging from ice sheet monitoring to modeling of earth surface processes. However, lidar present a unique suite of challenges from the perspective of building cyberinfrastructure systems that enable the scientific community to access these valuable research datasets. Lidar data are typically characterized by millions to billions of individual measurements of x,y,z position plus attributes; these "raw" data are also often accompanied by derived raster products and are frequently terabytes in size. As a relatively new and rapidly evolving data collection technology, relevant open data standards and software projects are immature compared to those for other remote sensing platforms. The NSF-funded OpenTopography Facility project has developed an online lidar data access and processing system that co-locates data with on-demand processing tools to enable users to access both raw point cloud data as well as custom derived products and visualizations. OpenTopography is built on a Service Oriented Architecture (SOA) in which applications and data resources are deployed as standards compliant (XML and SOAP) Web services with the open source Opal Toolkit. To develop the underlying applications for data access, filtering and conversion, and various processing tasks, OpenTopography has heavily leveraged existing open source software efforts for both lidar and raster data. Operating on the de facto LAS binary point cloud format (maintained by ASPRS), open source libLAS and LASlib libraries provide OpenTopography data ingestion, query and translation capabilities. Similarly, raster data manipulation is performed through a suite of services built on the Geospatial Data Abstraction Library (GDAL). OpenTopography has also developed our own algorithm for high-performance gridding of lidar point cloud data, Points2Grid, and have released the code as an open source project. An emerging conversation that the lidar community and OpenTopography are actively engaged in is the need for open, community supported standards and metadata for both full waveform and terrestrial (waveform and discrete return) lidar data. Further, given the immature nature of many lidar data archives and limited online access to public domain data, there is an opportunity to develop interoperable data catalogs based on an open standard such as the OGC CSW specification to facilitate discovery and access to Earth science oriented lidar data.

Progress and Setbacks in K-12 Earth and Space Science Education During the Past Decade

NASA Astrophysics Data System (ADS)

Geary, E.; Hoffman, M.; Stevermer, A.; Barstow, D.

2005-12-01

Since publication of the National Science Education Standards in 1996, key Earth and space science concepts have been incorporated into the science education standards in virtually every state. However, the degree to which Earth and space science standards have been implemented in actual classroom curriculum and state science assessments varies greatly from state to state. In a similar vein, the No Child Left Behind legislation calls for a highly qualified teacher in every classroom: in Idaho over 96 percent of high school teachers are certified to teach Earth science, while in Illinois, less than 42 percent of teachers are certified. Furthermore, in some states, like New York, approximately 20 percent of high school students will take introductory Earth science each year, while in other states, like Texas, less than 1 percent of high school students will take introductory Earth science each year. Why do we have this high degree of variability with respect to the teaching and learning of Earth science across the United States? The answer is complex, as there are many institutional, attitudinal, budgetary, and policy factors affecting the teaching of Earth and space sciences. This presentation will summarize data on the current status of Earth and space science education in the United States, discuss where progress has been made and where setbacks have occurred during the past decade, and provide some suggestions and ideas for improving access to high quality Earth and space science education courses, curricula, assessments, and teachers at the state and local level.

Tools for Implementing Science Practice in a Large Introductory Class

NASA Astrophysics Data System (ADS)

Prothero, W. A.

2008-12-01

Scientists must have in-depth background knowledge of their subject area and know where current knowledge can be advanced. They perform experiments that gather data to test new or existing theories, present their findings at meetings, publish their results, critically review the results of others, and respond to the reviews of their own work. In the context of a course, these activities correspond to learning the background material by listening to lectures or reading a text, formulating a problem, exploring data using student friendly data access and plotting software, giving brief talks to classmates in a small class or lab setting, writing a science paper or lab report, reviewing the writing of their peers, and receiving feedback (and grades) from their instructors and/or peers. These activities can be supported using course management software and online resources. The "LearningWithData" software system allows solid Earth (focused on plate tectonics) data exploration and plotting. Ocean data access, display, and plotting are also supported. Background material is delivered using animations and slide show type displays. Students are accountable for their learning through included homework assignments. Lab and small group activities provide support for data exploration and interpretation. Writing is most efficiently implemented using the "Calibrated Peer Review" method. This methodology is available at http://cpr.molsci.ucla.edu/. These methods have been successfully implemented in a large oceanography class at UCSB.

Long live the Data Scientist, but can he/she persist?

NASA Astrophysics Data System (ADS)

Wyborn, L. A.

2011-12-01

In recent years the fourth paradigm of data intensive science has slowly taken hold as the increased capacity of instruments and an increasing number of instruments (in particular sensor networks) have changed how fundamental research is undertaken. Most modern scientific research is about digital capture of data direct from instruments, processing it by computers, storing the results on computers and only publishing a small fraction of data in hard copy publications. At the same time, the rapid increase in capacity of supercomputers, particularly at petascale, means that far larger data sets can be analysed and to greater resolution than previously possible. The new cloud computing paradigm which allows distributed data, software and compute resources to be linked by seamless workflows, is creating new opportunities in processing of high volumes of data to an increasingly larger number of researchers. However, to take full advantage of these compute resources, data sets for analysis have to be aggregated from multiple sources to create high performance data sets. These new technology developments require that scientists must become more skilled in data management and/or have a higher degree of computer literacy. In almost every science discipline there is now an X-informatics branch and a computational X branch (eg, Geoinformatics and Computational Geoscience): both require a new breed of researcher that has skills in both the science fundamentals and also knowledge of some ICT aspects (computer programming, data base design and development, data curation, software engineering). People that can operate in both science and ICT are increasingly known as 'data scientists'. Data scientists are a critical element of many large scale earth and space science informatics projects, particularly those that are tackling current grand challenges at an international level on issues such as climate change, hazard prediction and sustainable development of our natural resources. These projects by their very nature require the integration of multiple digital data sets from multiple sources. Often the preparation of the data for computational analysis can take months and requires painstaking attention to detail to ensure that anomalies identified are real and are not just artefacts of the data preparation and/or the computational analysis. Although data scientists are increasingly vital to successful data intensive earth and space science projects, unless they are recognised for their capabilities in both the science and the computational domains they are likely to migrate to either a science role or an ICT role as their career advances. Most reward and recognition systems do not recognise those with skills in both, hence, getting trained data scientists to persist beyond one or two projects can be challenge. Those data scientists that persist in the profession are characteristically committed and enthusiastic people who have the support of their organisations to take on this role. They also tend to be people who share developments and are critical to the success of the open source software movement. However, the fact remains that survival of the data scientist as a species is being threatened unless something is done to recognise their invaluable contributions to the new fourth paradigm of science.

Understanding our Changing Planet: NASA's Earth Science Enterprise

NASA Technical Reports Server (NTRS)

Forehand, Lon; Griner, Charlotte (Editor); Greenstone, Renny (Editor)

1999-01-01

NASA has been studying the Earth and its changing environment by observing the atmosphere, oceans, land, ice, and snow and their influence on climate and weather since the agency's creation. This study has lead to a new approach to understanding the interaction of the Earth's systems, Earth System Science. The Earth Science Enterprise, NASA's comprehensive program for Earth System Science, uses satellites and other tools to intensively study the Earth. The Earth Science Enterprise has three main components: (1) a series of Earth-observing satellites, (2) an advanced data system and (3) teams of scientist who study the data. Key areas of study include: (1) clouds, (2) water and energy cycles, (3) oceans, (4) chemistry of the atmosphere, (5) land surface, water and ecosystems processes; (6) glaciers and polar ice sheets, and (7) the solid earth.

NASA GIBS Use in Live Planetarium Shows

NASA Astrophysics Data System (ADS)

Emmart, C. B.

2015-12-01

The American Museum of Natural History's Hayden Planetarium was rebuilt in year 2000 as an immersive theater for scientific data visualization to show the universe in context to our planet. Specific astrophysical movie productions provide the main daily programming, but interactive control software, developed at AMNH allows immersive presentation within a data aggregation of astronomical catalogs called the Digital Universe 3D Atlas. Since 2006, WMS globe browsing capabilities have been built into a software development collaboration with Sweden's Linkoping University (LiU). The resulting Uniview software, now a product of the company SCISS, is operated by about fifty planetariums around that world with ability to network amongst the sites for global presentations. Public presentation of NASA GIBS has allowed authoritative narratives to be presented within the range of data available in context to other sources such as Science on a Sphere, NASA Earth Observatory and Google Earth KML resources. Specifically, the NOAA supported World Views Network conducted a series of presentations across the US that focused on local ecological issues that could then be expanded in the course of presentation to national and global scales of examination. NASA support of for GIBS resources in an easy access multi scale streaming format like WMS has tremendously enabled particularly facile presentations of global monitoring like never before. Global networking of theaters for distributed presentations broadens out the potential for impact of this medium. Archiving and refinement of these presentations has already begun to inform new types of documentary productions that examine pertinent, global interdependency topics.

ASKI: A modular toolbox for scattering-integral-based seismic full waveform inversion and sensitivity analysis utilizing external forward codes

NASA Astrophysics Data System (ADS)

Schumacher, Florian; Friederich, Wolfgang

Due to increasing computational resources, the development of new numerically demanding methods and software for imaging Earth's interior remains of high interest in Earth sciences. Here, we give a description from a user's and programmer's perspective of the highly modular, flexible and extendable software package ASKI-Analysis of Sensitivity and Kernel Inversion-recently developed for iterative scattering-integral-based seismic full waveform inversion. In ASKI, the three fundamental steps of solving the seismic forward problem, computing waveform sensitivity kernels and deriving a model update are solved by independent software programs that interact via file output/input only. Furthermore, the spatial discretizations of the model space used for solving the seismic forward problem and for deriving model updates, respectively, are kept completely independent. For this reason, ASKI does not contain a specific forward solver but instead provides a general interface to established community wave propagation codes. Moreover, the third fundamental step of deriving a model update can be repeated at relatively low costs applying different kinds of model regularization or re-selecting/weighting the inverted dataset without need to re-solve the forward problem or re-compute the kernels. Additionally, ASKI offers the user sensitivity and resolution analysis tools based on the full sensitivity matrix and allows to compose customized workflows in a consistent computational environment. ASKI is written in modern Fortran and Python, it is well documented and freely available under terms of the GNU General Public License (http://www.rub.de/aski).

NEOview: Near Earth Object Data Discovery and Query

NASA Astrophysics Data System (ADS)

Tibbetts, M.; Elvis, M.; Galache, J. L.; Harbo, P.; McDowell, J. C.; Rudenko, M.; Van Stone, D.; Zografou, P.

2013-10-01

Missions to Near Earth Objects (NEOs) figure prominently in NASA's Flexible Path approach to human space exploration. NEOs offer insight into both the origins of the Solar System and of life, as well as a source of materials for future missions. With NEOview scientists can locate NEO datasets, explore metadata provided by the archives, and query or combine disparate NEO datasets in the search for NEO candidates for exploration. NEOview is a software system that illustrates how standards-based interfaces facilitate NEO data discovery and research. NEOview software follows a client-server architecture. The server is a configurable implementation of the International Virtual Observatory Alliance (IVOA) Table Access Protocol (TAP), a general interface for tabular data access, that can be deployed as a front end to existing NEO datasets. The TAP client, seleste, is a graphical interface that provides intuitive means of discovering NEO providers, exploring dataset metadata to identify fields of interest, and constructing queries to retrieve or combine data. It features a powerful, graphical query builder capable of easing the user's introduction to table searches. Through science use cases, NEOview demonstrates how potential targets for NEO rendezvous could be identified by combining data from complementary sources. Through deployment and operations, it has been shown that the software components are data independent and configurable to many different data servers. As such, NEOview's TAP server and seleste TAP client can be used to create a seamless environment for data discovery and exploration for tabular data in any astronomical archive.

Factors Affecting Student Success with a Google Earth-Based Earth Science Curriculum

ERIC Educational Resources Information Center

Blank, Lisa M.; Almquist, Heather; Estrada, Jen; Crews, Jeff

2016-01-01

This study investigated to what extent the implementation of a Google Earth (GE)-based earth science curriculum increased students' understanding of volcanoes, earthquakes, plate tectonics, scientific reasoning abilities, and science identity. Nine science classrooms participated in the study. In eight of the classrooms, pre- and post-assessments…

Advancing the fundamental sciences: proceedings of the Forest Service National Earth Sciences Conference, San Diego, CA, 18-22 October 2004.

Treesearch

Michael J. Furniss; Catherine F. Clifton; Kathryn L. Ronnenberg

2007-01-01

This conference was attended by nearly 450 Forest Service earth scientists representing hydrology, soil science, geology, and air. In addition to active members of the earth science professions, many retired scientists also attended and participated. These 60 peer-reviewed papers represent a wide spectrum of earth science investigation, experience, research, and...

Software Engineering Support of the Third Round of Scientific Grand Challenge Investigations: An Earth Modeling System Software Framework Strawman Design that Integrates Cactus and UCLA/UCB Distributed Data Broker

NASA Technical Reports Server (NTRS)

Talbot, Bryan; Zhou, Shu-Jia; Higgins, Glenn

2002-01-01

One of the most significant challenges in large-scale climate modeling, as well as in high-performance computing in other scientific fields, is that of effectively integrating many software models from multiple contributors. A software framework facilitates the integration task. both in the development and runtime stages of the simulation. Effective software frameworks reduce the programming burden for the investigators, freeing them to focus more on the science and less on the parallel communication implementation, while maintaining high performance across numerous supercomputer and workstation architectures. This document proposes a strawman framework design for the climate community based on the integration of Cactus, from the relativistic physics community, and UCLA/UCB Distributed Data Broker (DDB) from the climate community. This design is the result of an extensive survey of climate models and frameworks in the climate community as well as frameworks from many other scientific communities. The design addresses fundamental development and runtime needs using Cactus, a framework with interfaces for FORTRAN and C-based languages, and high-performance model communication needs using DDB. This document also specifically explores object-oriented design issues in the context of climate modeling as well as climate modeling issues in terms of object-oriented design.

A Disciplined Architectural Approach to Scaling Data Analysis for Massive, Scientific Data

NASA Astrophysics Data System (ADS)

Crichton, D. J.; Braverman, A. J.; Cinquini, L.; Turmon, M.; Lee, H.; Law, E.

2014-12-01

Data collections across remote sensing and ground-based instruments in astronomy, Earth science, and planetary science are outpacing scientists' ability to analyze them. Furthermore, the distribution, structure, and heterogeneity of the measurements themselves pose challenges that limit the scalability of data analysis using traditional approaches. Methods for developing science data processing pipelines, distribution of scientific datasets, and performing analysis will require innovative approaches that integrate cyber-infrastructure, algorithms, and data into more systematic approaches that can more efficiently compute and reduce data, particularly distributed data. This requires the integration of computer science, machine learning, statistics and domain expertise to identify scalable architectures for data analysis. The size of data returned from Earth Science observing satellites and the magnitude of data from climate model output, is predicted to grow into the tens of petabytes challenging current data analysis paradigms. This same kind of growth is present in astronomy and planetary science data. One of the major challenges in data science and related disciplines defining new approaches to scaling systems and analysis in order to increase scientific productivity and yield. Specific needs include: 1) identification of optimized system architectures for analyzing massive, distributed data sets; 2) algorithms for systematic analysis of massive data sets in distributed environments; and 3) the development of software infrastructures that are capable of performing massive, distributed data analysis across a comprehensive data science framework. NASA/JPL has begun an initiative in data science to address these challenges. Our goal is to evaluate how scientific productivity can be improved through optimized architectural topologies that identify how to deploy and manage the access, distribution, computation, and reduction of massive, distributed data, while managing the uncertainties of scientific conclusions derived from such capabilities. This talk will provide an overview of JPL's efforts in developing a comprehensive architectural approach to data science.

Earth Science Informatics - Overview

NASA Technical Reports Server (NTRS)

Ramapriyan, H. K.

2015-01-01

Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes nearly 150 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies. Remote Sensing; Earth Science Informatics, Data Systems; Data Services; Metadata

The DIAS Outreach Seismology in Schools (Seismeolaí­ocht sa Scoil) Pilot Programme

NASA Astrophysics Data System (ADS)

Blake, T.; Jones, A. G.; Campbell, G.

2008-12-01

Ireland has technology to thank for the 'Celtic Tiger' Revolution, yet over the last half decade fewer and fewer Irish students are completing high school with a science focus. To counter this trend, and to ensure a supply of Irish geophysicists for the future, it is important to engage and fascinate young minds with the wonders of physics and of the Earth we live on. The Geophysics Section of the School of Cosmic Physics in the Dublin Institute for Advanced Studies (DIAS) has been running an Outreach programme for some years, but there was a more general public orientation to the programme. In an effort to bring DIAS's science directly to the schools, we have launched a pilot programme, coincidentally and fortuitously during the International Year of Planet Earth (IYPE), in Seismology in Schools (Seismeolaíocht sa Scoil) that introduces young students to the world of seismology and earthquake research. The launch of DIAS's Seismology in Schools programme has been aided considerably through IRIS's (The Incorporated Institutes for Research Seismology) contributions of their AMASEIS software, that is used to display the data output from the seismometer, and educational posters and demonstration software used to teach Earth Science to students, and through BGS's design and development of the educational seismometer, which is a Lehman pattern horizontal motion seismometer using a garden-gate offset suspension pendulum. Initially, we planned for a very tentative pilot with just two seismometers rotating around local schools, but the Directors of the Educational Centres across Ireland (ATECI, Association of Teachers/Education Centres in Ireland) have become key players in this pilot by purchasing a further 34 seismometers and promoting this initiative among their school. In addition, Geological Survey of Ireland (GSI) has purchased a further four seismometers as part of their contribution to IYPE. Currently 36 schools are participating in the enlarged pilot programme; 18 primary schools, 17 secondary schools and one vocational training scheme. In primary schools the focus is with 5th and 6th year class projects. In the secondary school system, the pilot programme is seen as an excellent Transition Year (aged 16) project. We have held "Train the Teacher" Workshops in April-May 2008, with the assistance of the Education Centres throughout the country, to roll out the pilot programme across Ireland. A maximum of ten teachers attended each training workshop, which included primary and secondary school teachers of both Physics and Geography. During the academic year 2008-2009 the students at the 36 schools will work with earthquake data, use the educational software and generally becoming more aware of the Earth as a dynamic planet. Teachers and students will implement a programme of reporting on the earthquakes they record throughout the year to DIAS and initiate the exchange of earthquake data between participating schools in Ireland by use of the internet. The pilot will continue until April 2009 when a final report will be written to evaluate the success and future direction of the initiative. Based on the overwhelming interest shown to date, we envisage enlarging the programme further and working toward twinning the Schools with counterparts around the world. The pilot programme is funded by internal DIAS funds and also by a grant from the government agency DSE (Discover Science & Engineering).

MY NASA DATA: Making Earth Science Data Accessible to the K-12 Community

NASA Astrophysics Data System (ADS)

Chambers, L. H.; Alston, E. J.; Diones, D. D.; Moore, S. W.; Oots, P. C.; Phelps, C. S.

2006-12-01

In 2004, the Mentoring and inquirY using NASA Data on Atmospheric and Earth science for Teachers and Amateurs (MY NASA DATA) project began. The goal of this project is to enable K-12 and citizen science communities to make use of the large volume of Earth System Science data that NASA has collected and archived. One major outcome is to allow students to select a problem of real-life importance, and to explore it using high quality data sources without spending months looking for and then learning how to use a dataset. The key element of the MY NASA DATA project is the implementation of a Live Access Server (LAS). The LAS is an open source software tool, developed by NOAA, that provides access to a variety of data sources through a single, fairly simple, point- and- click interface. This tool truly enables use of the available data - more than 100 parameters are offered so far - in an inquiry-based educational setting. It readily gives students the opportunity to browse images for times and places they define, and also provides direct access to the underlying data values - a key feature of this educational effort. The team quickly discovered, however, that even a simple and fairly intuitive tool is not enough to make most teachers comfortable with data exploration. User feedback has led us to create a friendly LAS Introduction page, which uses the analogy of a restaurant to explain to our audience the basic concept of an LAS. In addition, we have created a "Time Coverage at a Glance" chart to show what data are available when. This keeps our audience from being too confused by the patchwork of data availability caused by the start and end of individual missions. Finally, we have found it necessary to develop a substantial amount of age appropriate documentation, including topical pages and a science glossary, to help our audience understand the parameters they are exploring and how these parameters fit into the larger picture of Earth System Science. MY NASA DATA intends to create a community of data explorers. A MY NASA DATA e-mentor network provides opportunities for educators, students, and citizens to engage in dialog about the questions they encounter. The website hosts a collection of data-based lesson plans that have been written by teachers for use in their own classrooms. A new portion of the website, launched this summer, invites submission of student research projects that use our resources. Finally, we are continually seeking additional Earth System Science datasets that can be offered to our audience through the MY NASA DATA LAS interface.

EOS Reference Handbook 1999: A Guide to NASA's Earth Science Enterprise and the Earth Observing System

NASA Technical Reports Server (NTRS)

King, M. D. (Editor); Greenstone, R. (Editor)

2000-01-01

The content of this handbook includes Earth Science Enterprise; The Earth Observing System; EOS Data and Information System (EOSDIS); Data and Information Policy; Pathfinder Data Sets; Earth Science Information Partners and the Working Prototype-Federation; EOS Data Quality: Calibration and Validation; Education Programs; International Cooperation; Interagency Coordination; Mission Elements; EOS Instruments; EOS Interdisciplinary Science Investigations; and Points-of-Contact.

Helping Italian science teachers to make earth and climate active lessons. Results of 3 years support with the ICLEEN project

NASA Astrophysics Data System (ADS)

Cattadori, M.

2013-12-01

It has been demonstrated that in Italy Earth and Climate System Sciences Education (ESS) is one of the scientific disciplines where science teachers show a greatest need in terms of professional support. Among the causes that have been reported we should mention: the predominance of science teachers with a degree in biological disciplines rather then geo-logical or physical topics, and the high interdisciplinarity of certain topics, in particular those related to the climate system. Furthermore, it was found that ESS topics are predominant in the science curricula of those grades in which have been reported the major students dropout rates during the whole italian school cycle . In this context, in 2010, the MUSE, the Museum of Science of Trento (Italy), created a web-based service named I-Cleen (Inquring on Climate and Energy www.icleen.muse.it). This is a tool aimed at promoting the collaboration among science teachers in order to share resources and enhance the professional collaboration by means of participatory methods and models belonging to the world of open source and open content. The main instrument of the I-CLEEN project is an online repository (with metadata compliant with the DCMI and LOM international standards) of teaching resources focused on Earth and Climate Sciences all published under the Creative Commons license Attribution 3.0 and therefore, belonging to the model of OER (Open Educational Resources). The service has been designed, developed and managed by a team consisting of very experiencing science teachers and scientists from the Museum and other partners research institutions. The editorial work is carried out online utilizing a specific platform made with LifeRay, a CMS (Content Management System) software that is open source and manageable in a single Java-frameworked environment using the dbase, the website, the editorial process and several web 2.0 services. The project has been subjected to two distinct testing activities in collaboration with the University of Trento dealing with the effectiveness of the service as well as the usability of the graphic user interface (GUI). The present work aims to illustrate the essential features of the service I-cleen and the results achieved during the last three years of operation. It will be display and interpret for the first time data with web traffic, and other data from downloading and publishing documents of the teaching resources and the main outcomes of the above mentioned tests. The purpose of this contribution is to highlight strengths and weaknesses of this experience and potentially able to provide valuable information on the role of today's web based services and online communities to help support teachers in earth and climate sciences subjects.

Earth Global Reference Atmospheric Model (GRAM) Overview and Updates: DOLWG Meeting

NASA Technical Reports Server (NTRS)

White, Patrick

2017-01-01

What is Earth-GRAM (Global Reference Atmospheric Model): Provides monthly mean and standard deviation for any point in atmosphere - Monthly, Geographic, and Altitude Variation; Earth-GRAM is a C++ software package - Currently distributed as Earth-GRAM 2016; Atmospheric variables included: pressure, density, temperature, horizontal and vertical winds, speed of sound, and atmospheric constituents; Used by engineering community because of ability to create dispersions in atmosphere at a rapid runtime - Often embedded in trajectory simulation software; Not a forecast model; Does not readily capture localized atmospheric effects.

Development and Evaluation of Science and Technology Education Program Using Interferometric SAR

NASA Astrophysics Data System (ADS)

Ito, Y.; Ikemitsu, H.; Nango, K.

2016-06-01

This paper proposes a science and technology education program to teach junior high school students to measure terrain changes by using interferometric synthetic aperture radar (SAR). The objectives of the proposed program are to evaluate and use information technology by performing SAR data processing in order to measure ground deformation, and to incorporate an understanding of Earth sciences by analyzing interferometric SAR processing results. To draft the teaching guidance plan for the developed education program, this study considers both science and technology education. The education program was used in a Japanese junior high school. An educational SAR processor developed by the authors and the customized Delft object-oriented radar interferometric software package were employed. Earthquakes as diastrophism events were chosen as practical teaching materials. The selected events indicate clear ground deformation in differential interferograms with high coherence levels. The learners were able to investigate the ground deformations and disasters caused by the events. They interactively used computers and became skilled at recognizing the knowledge and techniques of information technology, and then they evaluated the technology. Based on the results of pre- and post-questionnaire surveys and self-evaluation by the learners, it was clarified that the proposed program was applicable for junior high school education, and the learners recognized the usefulness of Earth observation technology by using interferometric SAR. The usefulness of the teaching materials in the learning activities was also shown through the practical teaching experience.

Multi-Instrument Tools and Services to Access NASA Earth Science Data from the GSFC Earth Sciences Data and Information Services Center

NASA Technical Reports Server (NTRS)

Kempler, Steve; Leptoukh, Greg; Lynnes, Chris

2010-01-01

The presentation purpose is to describe multi-instrument tools and services that facilitate access and usability of NASA Earth science data at Goddard Space Flight Center (GSFC). NASA's Earth observing system includes 14 satellites. Topics include EOSDIS facilities and system architecture, and overview of GSFC Earth Science Data and Information Services Center (GES DISC) mission, Mirador data search, Giovanni, multi-instrument data exploration, Google Earth[TM], data merging, and applications.

Data analysis and software support for the Earth radiation budget experiment

NASA Technical Reports Server (NTRS)

Edmonds, W.; Natarajan, S.

1987-01-01

Computer programming and data analysis efforts were performed in support of the Earth Radiation Budget Experiment (ERBE) at NASA/Langley. A brief description of the ERBE followed by sections describing software development and data analysis for both prelaunch and postlaunch instrument data are presented.

System for Continuous Delivery of MODIS Imagery to Internet Mapping Applications

NASA Technical Reports Server (NTRS)

Plesea, Lucian

2008-01-01

This software represents a complete, unsupervised processing chain that generates a continuously updating global image of the Earth from the most recent available MODIS Level 1B scenes. The software constantly updates a global image of the Earth at 250 m per pixel.

Revolutionizing Earth System Science Education for the 21st Century: Report and Recommendations from a 50-State Analysis of Earth Science Education Standards

ERIC Educational Resources Information Center

Hoffman, Martos; Barstow, Daniel

2007-01-01

The National Oceanic and Atmospheric Administration (NOAA) commissioned TERC to complete a review of science education standards for all 50 states. The study analyzed K-12 Earth science standards to determine how well each state addresses key Earth-science content, concepts and skills. This report reveals that few states have thoroughly integrated…

An analysis of integrated science and language arts themes in software at the elementary school level

NASA Astrophysics Data System (ADS)

Libidinsky, Lisa Jill

2002-09-01

There are many demands on the elementary classroom teacher today, such that teachers often do not have the time and resources to instruct in a meaningful manner that would produce effective, real instruction. Subjects are often disjointed and not significant. When teachers instruct using an integrated approach, students learn more efficiently as they see connections in the subjects. Science and language arts, when combined to produce an integrated approach, show positive associations that can enable students to learn real-life connections. In addition, with the onset of technology and the increased usage of technological programs in the schools, teachers can use technology to support an integrated curriculum. When teachers use a combined instructional focus of science, language arts, and technology to produce lessons, students are able to gain knowledge of concepts and skills necessary for appropriate academic growth and development. Given that there are many software programs available to teachers for classroom use, it is imperative that quality software is used for instruction. Using criteria based upon an intensive literature review of integrated instruction in the areas of science and language arts, this study examines science and language arts software programs to determine whether there are science and language arts integrated themes in the software analyzed. Also, this study examines whether more science and language arts integrated themes are present in science or language arts software programs. Overall, this study finds a significant difference between language arts software and science software when looking at integrated themes. This study shows that science software shows integrated themes with language arts more often than does language arts software with science. The findings in this study can serve as a reference point for educators when selecting software that is meaningful and effective in the elementary classroom. Based on this study, it is apparent that there is a need to evaluate software for appropriate use in the classroom in order to promote effective education.

Infrastructure for Training and Partnershipes: California Water and Coastal Ocean Resources

NASA Technical Reports Server (NTRS)

Siegel, David A.; Dozier, Jeffrey; Gautier, Catherine; Davis, Frank; Dickey, Tommy; Dunne, Thomas; Frew, James; Keller, Arturo; MacIntyre, Sally; Melack, John

2000-01-01

The purpose of this project was to advance the existing ICESS/Bren School computing infrastructure to allow scientists, students, and research trainees the opportunity to interact with environmental data and simulations in near-real time. Improvements made with the funding from this project have helped to strengthen the research efforts within both units, fostered graduate research training, and helped fortify partnerships with government and industry. With this funding, we were able to expand our computational environment in which computer resources, software, and data sets are shared by ICESS/Bren School faculty researchers in all areas of Earth system science. All of the graduate and undergraduate students associated with the Donald Bren School of Environmental Science and Management and the Institute for Computational Earth System Science have benefited from the infrastructure upgrades accomplished by this project. Additionally, the upgrades fostered a significant number of research projects (attached is a list of the projects that benefited from the upgrades). As originally proposed, funding for this project provided the following infrastructure upgrades: 1) a modem file management system capable of interoperating UNIX and NT file systems that can scale to 6.7 TB, 2) a Qualstar 40-slot tape library with two AIT tape drives and Legato Networker backup/archive software, 3) previously unavailable import/export capability for data sets on Zip, Jaz, DAT, 8mm, CD, and DLT media in addition to a 622Mb/s Internet 2 connection, 4) network switches capable of 100 Mbps to 128 desktop workstations, 5) Portable Batch System (PBS) computational task scheduler, and vi) two Compaq/Digital Alpha XP1000 compute servers each with 1.5 GB of RAM along with an SGI Origin 2000 (purchased partially using funds from this project along with funding from various other sources) to be used for very large computations, as required for simulation of mesoscale meteorology or climate.

76 FR 21073 - NASA Advisory Council; Science Committee; Earth Science Subcommittee; Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-14

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice: (11-040)] NASA Advisory Council; Science Committee; Earth Science Subcommittee; Meeting AGENCY: National Aeronautics and Space Administration. ACTION... amended, the National Aeronautics and Space Administration (NASA) announces a meeting of the Earth Science...

75 FR 65673 - NASA Advisory Council; Science Committee; Earth Science Subcommittee; Meeting

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2010-10-26

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice: (10-141)] NASA Advisory Council; Science Committee; Earth Science Subcommittee; Meeting AGENCY: National Aeronautics and Space Administration. ACTION... amended, the National Aeronautics and Space Administration (NASA) announces a meeting of the Earth Science...

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2012-05-09

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2012-09-20

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2013-08-22

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2013-03-26

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2011-08-10

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2010-07-19

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77 FR 12086 - NASA Advisory Council; Science Committee; Earth Science Subcommittee; Meeting

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2012-02-28

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Center for Space and Earth Science

Science.gov Websites

Search Site submit Los Alamos National LaboratoryCenter for Space and Earth Science Part of the Partnerships NSEC » CSES Center for Space and Earth Science High quality, cutting-edge science in the areas of astrophysics, space physics, solid planetary geoscience, and Earth systems Contact Director Reiner Friedel (505

Planning NGSS-Based Instruction: Where Do You Start?

ERIC Educational Resources Information Center

Colson, Mary; Colson, Russ

2016-01-01

Mary Colson is an eighth-grade Earth science teacher at Horizon Middle School, and Russ Colson is a professor of geology and Earth science education in the Department of Anthropology and Earth Science at Minnesota State University Moorhead, both in Moorhead, Minnesota. Since her first year in teaching eighth grade Earth science, in 1986,…

EarthCube GeoLink: Semantics and Linked Data for the Geosciences

NASA Astrophysics Data System (ADS)

Arko, R. A.; Carbotte, S. M.; Chandler, C. L.; Cheatham, M.; Fils, D.; Hitzler, P.; Janowicz, K.; Ji, P.; Jones, M. B.; Krisnadhi, A.; Lehnert, K. A.; Mickle, A.; Narock, T.; O'Brien, M.; Raymond, L. M.; Schildhauer, M.; Shepherd, A.; Wiebe, P. H.

2015-12-01

The NSF EarthCube initiative is building next-generation cyberinfrastructure to aid geoscientists in collecting, accessing, analyzing, sharing, and visualizing their data and knowledge. The EarthCube GeoLink Building Block project focuses on a specific set of software protocols and vocabularies, often characterized as the Semantic Web and "Linked Data", to publish data online in a way that is easily discoverable, accessible, and interoperable. GeoLink brings together specialists from the computer science, geoscience, and library science domains, and includes data from a network of NSF-funded repositories that support scientific studies in marine geology, marine ecosystems, biogeochemistry, and paleoclimatology. We are working collaboratively with closely-related Building Block projects including EarthCollab and CINERGI, and solicit feedback from RCN projects including Cyberinfrastructure for Paleogeosciences (C4P) and iSamples. GeoLink has developed a modular ontology that describes essential geoscience research concepts; published data from seven collections (to date) on the Web as geospatially-enabled Linked Data using this ontology; matched and mapped data between collections using shared identifiers for investigators, repositories, datasets, funding awards, platforms, research cruises, physical specimens, and gazetteer features; and aggregated the results in a shared knowledgebase that can be queried via a standard SPARQL endpoint. Client applications have been built around the knowledgebase, including a Web/map-based data browser using the Leaflet JavaScript library and a simple query service using the OpenSearch format. Future development will include extending and refining the GeoLink ontology, adding content from additional repositories, developing semi-automated algorithms to enhance metadata, and further work on client applications.

Development of NASA's Next Generation L-Band Digital Beamforming Synthetic Aperture Radar (DBSAR-2)

NASA Technical Reports Server (NTRS)

Rincon, Rafael; Fatoyinbo, Temilola; Osmanoglu, Batuhan; Lee, Seung-Kuk; Ranson, K. Jon; Marrero, Victor; Yeary, Mark

2014-01-01

NASA's Next generation Digital Beamforming SAR (DBSAR-2) is a state-of-the-art airborne L-band radar developed at the NASA Goddard Space Flight Center (GSFC). The instrument builds upon the advanced architectures in NASA's DBSAR-1 and EcoSAR instruments. The new instrument employs a 16-channel radar architecture characterized by multi-mode operation, software defined waveform generation, digital beamforming, and configurable radar parameters. The instrument has been design to support several disciplines in Earth and Planetary sciences. The instrument was recently completed, and tested and calibrated in a anechoic chamber.

Three-dimensional presentation of the earth and planets in classrooms and science centers with a spherical screen

NASA Astrophysics Data System (ADS)

Saito, A.; Tsugawa, T.; Odagi, Y.; Nishi, N.; Miyazaki, S.; Ichikawa, H.

2012-12-01

Educational programs have been developed for the earth and planetary science using a three-dimensional presentation system of the Earth and planets with a spherical screen. They have been used in classrooms of universities, high schools, elementary schools, and science centers. Two-dimensional map is a standard tool to present the data of the Earth and planets. However the distortion of the shape is inevitable especially for the map of wide areas. Three-dimensional presentation of the Earth, such as globes, is an only way to avoid this distortion. There are several projects to present the earth and planetary science results in three-dimension digitally, such as Science on a sphere (SOS) by NOAA, and Geo-cosmos by the National Museum of Emerging Science and Innovation (Miraikan), Japan. These projects are relatively large-scale in instruments and cost, and difficult to use in classrooms and small-scale science centers. Therefore we developed a portable, scalable and affordable system of the three-dimensional presentation of the Earth and planets, Dagik Earth. This system uses a spherical screen and a PC projector. Several educational programs have been developed using Dagik Earth under collaboration of the researchers of the earth and planetary science and science education, school teachers, and curators of science centers, and used in schools and museums in Japan, Taiwan and other countries. It helps learners to achieve the proper cognition of the shape and size of the phenomena on the Earth and planets. Current status and future development of the project will be introduced in the presentation.

Lessons from NASA Applied Sciences Program: Success Factors in Applying Earth Science in Decision Making

NASA Astrophysics Data System (ADS)

Friedl, L. A.; Cox, L.

2008-12-01

The NASA Applied Sciences Program collaborates with organizations to discover and demonstrate applications of NASA Earth science research and technology to decision making. The desired outcome is for public and private organizations to use NASA Earth science products in innovative applications for sustained, operational uses to enhance their decisions. In addition, the program facilitates the end-user feedback to Earth science to improve products and demands for research. The Program thus serves as a bridge between Earth science research and technology and the applied organizations and end-users with management, policy, and business responsibilities. Since 2002, the Applied Sciences Program has sponsored over 115 applications-oriented projects to apply Earth observations and model products to decision making activities. Projects have spanned numerous topics - agriculture, air quality, water resources, disasters, public health, aviation, etc. The projects have involved government agencies, private companies, universities, non-governmental organizations, and foreign entities in multiple types of teaming arrangements. The paper will examine this set of applications projects and present specific examples of successful use of Earth science in decision making. The paper will discuss scientific, organizational, and management factors that contribute to or impede the integration of the Earth science research in policy and management. The paper will also present new methods the Applied Sciences Program plans to implement to improve linkages between science and end users.

NASA Enterprise Architecture and Its Use in Transition of Research Results to Operations

NASA Astrophysics Data System (ADS)

Frisbie, T. E.; Hall, C. M.

2006-12-01

Enterprise architecture describes the design of the components of an enterprise, their relationships and how they support the objectives of that enterprise. NASA Stennis Space Center leads several projects involving enterprise architecture tools used to gather information on research assets within NASA's Earth Science Division. In the near future, enterprise architecture tools will link and display the relevant requirements, parameters, observatories, models, decision systems, and benefit/impact information relationships and map to the Federal Enterprise Architecture Reference Models. Components configured within the enterprise architecture serving the NASA Applied Sciences Program include the Earth Science Components Knowledge Base, the Systems Components database, and the Earth Science Architecture Tool. The Earth Science Components Knowledge Base systematically catalogues NASA missions, sensors, models, data products, model products, and network partners appropriate for consideration in NASA Earth Science applications projects. The Systems Components database is a centralized information warehouse of NASA's Earth Science research assets and a critical first link in the implementation of enterprise architecture. The Earth Science Architecture Tool is used to analyze potential NASA candidate systems that may be beneficial to decision-making capabilities of other Federal agencies. Use of the current configuration of NASA enterprise architecture (the Earth Science Components Knowledge Base, the Systems Components database, and the Earth Science Architecture Tool) has far exceeded its original intent and has tremendous potential for the transition of research results to operational entities.

Data Management for a Climate Data Record in an Evolving Technical Landscape

NASA Astrophysics Data System (ADS)

Moore, K. D.; Walter, J.; Gleason, J. L.

2017-12-01

For nearly twenty years, NASA Langley Research Center's Clouds and the Earth's Radiant Energy System (CERES) Science Team has been producing a suite of data products that forms a persistent climate data record of the Earth's radiant energy budget. Many of the team's physical scientists and key research contributors have been with the team since the launch of the first CERES instrument in 1997. This institutional knowledge is irreplaceable and its longevity and continuity are among the reasons that the team has been so productive. Such legacy involvement, however, can also be a limiting factor. Some CERES scientists-cum-coders might possess skills that were state-of-the-field when they were emerging scientists but may now be outdated with respect to developments in software development best practices and supporting technologies. Both programming languages and processing frameworks have evolved significantly in the past twenty years, and updating one of these factors warrants consideration of updating the other. With the imminent launch of a final CERES instrument and the good health of those in flight, the CERES data record stands to continue far into the future. The CERES Science Team is, therefore, undergoing a re-architecture of its codebase to maintain compatibility with newer data processing platforms and technologies and to leverage modern software development best practices. This necessitates training our staff and consequently presents several challenges, including: Development continues immediately on the next "edition" of research algorithms upon release of the previous edition. How can code be rewritten at the same time that the science algorithms are being updated and integrated? With limited time to devote to training, how can we update the staff's existing skillset without slowing progress or introducing new errors? The CERES Science Team is large and complex, much like the current state of its codebase. How can we identify, in a breadth-wise manner, areas for code improvement across multiple research groups that maintain code with varying semantics but common concepts? In this work, we discuss the successes and pitfalls of this major re-architecture effort and share how we will sustain improvement into the future.

Incorporating Earth Science into Other High School Science Classes

NASA Astrophysics Data System (ADS)

Manning, C. L. B.; Holzer, M.; Colson, M.; Courtier, A. M. B.; Jacobs, B. E.

2016-12-01

As states begin to review their standards, some adopt or adapt the NGSS and others write their own, many basing these on the Framework for K-12 Science Education. Both the NGSS and the Frameworks have an increased emphasis on Earth Science but many high school teachers are being asked to teach these standards in traditional Biology, Chemistry and Physics courses. At the Earth Educators Rendezvous, teachers, scientists, and science education researchers worked together to find the interconnections between the sciences using the NGSS and identified ways to reference the role of Earth Sciences in the other sciences during lectures, activities and laboratory assignments. Weaving Earth and Space sciences into the other curricular areas, the teams developed relevant problems for students to solve by focusing on using current issues, media stories, and community issues. These and other lessons and units of study will be presented along with other resources used by teachers to ensure students are gaining exposure and a deeper understanding of Earth and Space Science concepts.

Exploring the Earth Using Deep Learning Techniques

NASA Astrophysics Data System (ADS)

Larraondo, P. R.; Evans, B. J. K.; Antony, J.

2016-12-01

Research using deep neural networks have significantly matured in recent times, and there is now a surge in interest to apply such methods to Earth systems science and the geosciences. When combined with Big Data, we believe there are opportunities for significantly transforming a number of areas relevant to researchers and policy makers. In particular, by using a combination of data from a range of satellite Earth observations as well as computer simulations from climate models and reanalysis, we can gain new insights into the information that is locked within the data. Global geospatial datasets describe a wide range of physical and chemical parameters, which are mostly available using regular grids covering large spatial and temporal extents. This makes them perfect candidates to apply deep learning methods. So far, these techniques have been successfully applied to image analysis through the use of convolutional neural networks. However, this is only one field of interest, and there is potential for many more use cases to be explored. The deep learning algorithms require fast access to large amounts of data in the form of tensors and make intensive use of CPU in order to train its models. The Australian National Computational Infrastructure (NCI) has recently augmented its Raijin 1.2 PFlop supercomputer with hardware accelerators. Together with NCI's 3000 core high performance OpenStack cloud, these computational systems have direct access to NCI's 10+ PBytes of datasets and associated Big Data software technologies (see http://geonetwork.nci.org.au/ and http://nci.org.au/systems-services/national-facility/nerdip/). To effectively use these computing infrastructures requires that both the data and software are organised in a way that readily supports the deep learning software ecosystem. Deep learning software, such as the open source TensorFlow library, has allowed us to demonstrate the possibility of generating geospatial models by combining information from our different data sources. This opens the door to an exciting new way of generating products and extracting features that have previously been labour intensive. In this paper, we will explore some of these geospatial use cases and share some of the lessons learned from this experience.

NASA Earth Science Update with Information Science Technology

NASA Technical Reports Server (NTRS)

Halem, Milton

2000-01-01

This viewgraph presentation gives an overview of NASA earth science updates with information science technology. Details are given on NASA/Earth Science Enterprise (ESE)/Goddard Space Flight Center strategic plans, ESE missions and flight programs, roles of information science, ESE goals related to the Minority University-Space Interdisciplinary Network, and future plans.

77 FR 70482 - Notice of Establishment of a NASA Federal Advisory Committee; Applied Sciences Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-26

... Analysis Group (ASAG) as a task group under the auspices of the Earth Science Subcommittee of the NASA... and prioritizing the Earth Science Division's Applied Sciences Program activities and has served as a... recommendations to the Director, Earth Science Division, Science Mission Directorate, NASA Headquarters, on...

Perceived Barriers and Strategies to Effective Online Earth and Space Science Instruction

NASA Astrophysics Data System (ADS)

Pottinger, James E.

With the continual growth and demand of online courses, higher education institutions are attempting to meet the needs of today's learners by modifying and developing new student centered services and programs. As a result, faculty members are being forced into teaching online, including Earth and Space science faculty. Online Earth and Space science courses are different than typical online courses in that they need to incorporate an inquiry-based component to ensure students fully understand the course concepts and science principles in the Earth and Space sciences. Studies have addressed the barriers in other inquiry-based online science courses, including biology, physics, and chemistry. This holistic, multiple-case qualitative study investigated perceived barriers and strategies to effective online Earth and Space science instruction through in-depth interviews with six experienced post-secondary online science instructors. Data from this study was analyzed using a thematic analysis approach and revealed four common themes when teaching online Earth and Space science. A positive perception and philosophy of online teaching is essential, the instructor-student interaction is dynamic, course structure and design modification will occur, and online lab activities must make science operational and relevant. The findings in this study demonstrated that online Earth and Space science instructors need institutional support in the form of a strong faculty development program and support staff in order to be as effective as possible. From this study, instructors realize that the instructor-student relationship and course structure is paramount, especially when teaching online science with labs. A final understanding from this study was that online Earth and Space science lab activities must incorporate the use and application of scientific skills and knowledge. Recommendations for future research include (a) qualitative research conducted in specific areas within the Earth and Space sciences to determine if similar conclusions may be reached, (b) conduct a quantitative study looking at the available online technologies and their effectiveness in each area, and (c) utilize students that took online Earth and Space science classes and compare their perception of effectiveness to the instructor's perception of effectiveness in the online Earth and Space science classroom.

Teaching and Learning about the Earth. ERIC Digest.

ERIC Educational Resources Information Center

Lee, Hyonyong

This ERIC Digest investigates the earth and space science guidelines of the National Science Education Standards. These guidelines are frequently referred to as the earth system and include components such as plate tectonics, the water cycle, and the carbon cycle. This Digest describes the development of earth systems science and earth systems…

Advances in the NASA Earth Science Division Applied Science Program

NASA Astrophysics Data System (ADS)

Friedl, L.; Bonniksen, C. K.; Escobar, V. M.

2016-12-01

The NASA Earth Science Division's Applied Science Program advances the understanding of and ability to used remote sensing data in support of socio-economic needs. The integration of socio-economic considerations in to NASA Earth Science projects has advanced significantly. The large variety of acquisition methods used has required innovative implementation options. The integration of application themes and the implementation of application science activities in flight project is continuing to evolve. The creation of the recently released Earth Science Division, Directive on Project Applications Program and the addition of an application science requirement in the recent EVM-2 solicitation document NASA's current intent. Continuing improvement in the Earth Science Applications Science Program are expected in the areas of thematic integration, Project Applications Program tailoring for Class D missions and transfer of knowledge between scientists and projects.

NASA's Earth Science Data Systems - Lessons Learned and Future Directions

NASA Technical Reports Server (NTRS)

Ramapriyan, Hampapuram K.

2010-01-01

In order to meet the increasing demand for Earth Science data, NASA has significantly improved the Earth Science Data Systems over the last two decades. This improvement is reviewed in this slide presentation. Many Earth Science disciplines have been able to access the data that is held in the Earth Observing System (EOS) Data and Information System (EOSDIS) at the Distributed Active Archive Centers (DAACs) that forms the core of the data system.

Visualization of International Solar-Terrestrial Physics Program (ISTP) data

NASA Technical Reports Server (NTRS)

Kessel, Ramona L.; Candey, Robert M.; Hsieh, Syau-Yun W.; Kayser, Susan

1995-01-01

The International Solar-Terrestrial Physics Program (ISTP) is a multispacecraft, multinational program whose objective is to promote further understanding of the Earth's complex plasma environment. Extensive data sharing and data analysis will be needed to ensure the success of the overall ISTP program. For this reason, there has been a special emphasis on data standards throughout ISTP. One of the key tools will be the common data format (CDF), developed, maintained, and evolved at the National Space Science Data Center (NSSDC), with the set of ISTP implementation guidelines specially designed for space physics data sets by the Space Physics Data Facility (associated with the NSSDC). The ISTP guidelines were developed to facilitate searching, plotting, merging, and subsetting of data sets. We focus here on the plotting application. A prototype software package was developed to plot key parameter (KP) data from the ISTP program at the Science Planning and Operations Facility (SPOF). The ISTP Key Parameter Visualization Tool is based on the Interactive Data Language (IDL) and is keyed to the ISTP guidelines, reading data stored in CDF. With the combination of CDF, the ISTP guidelines, and the visualization software, we can look forward to easier and more effective data sharing and use among ISTP scientists.

Agent Based Software for the Autonomous Control of Formation Flying Spacecraft

NASA Technical Reports Server (NTRS)

How, Jonathan P.; Campbell, Mark; Dennehy, Neil (Technical Monitor)

2003-01-01

Distributed satellite systems is an enabling technology for many future NASA/DoD earth and space science missions, such as MMS, MAXIM, Leonardo, and LISA [1, 2, 3]. While formation flying offers significant science benefits, to reduce the operating costs for these missions it will be essential that these multiple vehicles effectively act as a single spacecraft by performing coordinated observations. Autonomous guidance, navigation, and control as part of a coordinated fleet-autonomy is a key technology that will help accomplish this complex goal. This is no small task, as most current space missions require significant input from the ground for even relatively simple decisions such as thruster burns. Work for the NMP DS1 mission focused on the development of the New Millennium Remote Agent (NMRA) architecture for autonomous spacecraft control systems. NMRA integrates traditional real-time monitoring and control with components for constraint-based planning, robust multi-threaded execution, and model-based diagnosis and reconfiguration. The complexity of using an autonomous approach for space flight software was evident when most of its capabilities were stripped off prior to launch (although more capability was uplinked subsequently, and the resulting demonstration was very successful).

A Software Engineering Paradigm for Quick-turnaround Earth Science Data Projects

NASA Astrophysics Data System (ADS)

Moore, K.

2016-12-01

As is generally the case with applied sciences professional and educational programs, the participants of such programs can come from a variety of technical backgrounds. In the NASA DEVELOP National Program, the participants constitute an interdisciplinary set of backgrounds, with varying levels of experience with computer programming. DEVELOP makes use of geographically explicit data sets, and it is necessary to use geographic information systems and geospatial image processing environments. As data sets cover longer time spans and include more complex sets of parameters, automation is becoming an increasingly prevalent feature. Though platforms such as ArcGIS, ERDAS Imagine, and ENVI facilitate the batch-processing of geospatial imagery, these environments are naturally constricting to the user in that they limit him or her to the tools that are available. Users must then turn to "homemade" scripting in more traditional programming languages such as Python, JavaScript, or R, to automate workflows. However, in the context of quick-turnaround projects like those in DEVELOP, the programming learning curve may be prohibitively steep. In this work, we consider how to best design a software development paradigm that addresses two major constants: an arbitrarily experienced programmer and quick-turnaround project timelines.

Development of a Two-Wheel Contingency Mode for the MAP Spacecraft

NASA Technical Reports Server (NTRS)

Starin, Scott R.; ODonnell, James R., Jr.; Bauer, Frank (Technical Monitor)

2002-01-01

The Microwave Anisotropy Probe (MAP) is a follow-on mission to the Cosmic Background Explorer (COBE), and is currently collecting data from its orbit near the second Sun-Earth libration point. Due to limited mass, power, and financial resources, a traditional reliability concept including fully redundant components was not feasible for MAP. Instead, the MAP design employs selective hardware redundancy in tandem with contingency software modes and algorithms to improve the odds of mission success. One direction for such improvement has been the development of a two-wheel backup control strategy. This strategy would allow MAP to position itself for maneuvers and collect science data should one of its three reaction wheels fail. Along with operational considerations, the strategy includes three new control algorithms. These algorithms would use the remaining attitude control actuators-thrusters and two reaction wheels-in ways that achieve control goals while minimizing adverse impacts on the functionality of other subsystems and software.

STK Integrated Message Production List Editor (SIMPLE) for CEO Operations

NASA Technical Reports Server (NTRS)

Trenchard, Mike; Heydorn, James

2014-01-01

Late in fiscal year 2011, the Crew Earth Observations (CEO) team was tasked to upgrade and replace its mission planning and mission operations software systems, which were developed in the Space Shuttle era of the 1980s and 1990s. The impetuses for this change were the planned transition of all workstations to the Windows 7 64-bit operating system and the desire for more efficient and effective use of Satellite Tool Kit (STK) software required for reliable International Space Station (ISS) Earth location tracking. An additional requirement of this new system was the use of the same SQL database of CEO science sites from the SMMS, which was also being developed. STK Integrated Message Production List Editor (SIMPLE) is the essential, all-in-one tool now used by CEO staff to perform daily ISS mission planning to meet its requirement to acquire astronaut photography of specific sites on Earth. The sites are part of a managed, long-term database that has been defined and developed for scientific, educational, and public interest. SIMPLE's end product is a set of basic time and location data computed for an operator-selected set of targets that the ISS crew will be asked to photograph (photography is typically planned 12 to 36 hours out). The CEO operator uses SIMPLE to (a) specify a payload operations planning period; (b) acquire and validate the best available ephemeris data (vectors) for the ISS during the planning period; (c) ingest and display mission-specific site information from the CEO database; (d) identify and display potential current dynamic event targets as map features; (e) compute and display time and location information for each target; (f) screen and select targets based on known crew availability constraints, obliquity constraints, and real-time evaluated constraints to target visibility due to illumination (sun elevation) and atmospheric conditions (weather); and finally (g) incorporate basic, computed time and location information for each selected target into the daily CEO Target List product (message) for submission to ISS payload planning and integration teams for their review and approval prior to uplink. SIMPLE requires and uses the following resources: an ISS mission planning period Greenwich Mean Time start date/time and end date/time), the best available ISS mission ephemeris data (vectors) for that planning period, the STK software package configured for the ISS, and an ISS mission-specific subset of the CEO sites database. The primary advantages realized by the development and implementation of SIMPLE into the CEO payload operations support activity are a smooth transition to the Windows 7 operating system upon scheduled workstation refresh; streamlining of the input and verification of the current ISS ephemeris (vector data); seamless incorporation of selected contents of the SQL database of science sites; the ability to tag and display potential dynamic event opportunities on orbit track maps; simplification of the display and selection of encountered sites based on crew availability, illumination, obliquity, and weather constraints; the incorporation of high-quality mapping of the Earth with various satellite-based datasets for use in describing targets; and the ability to encapsulate and export the essential selected target elements in XML format for use by onboard Earth-location systems, such as Worldmap. SIMPLE is a carefully designed and crafted in-house software package that includes detailed help files for the user and meticulous internal documentation for future modifications. It was delivered in February 2012 for test and evaluation. Following acceptance, it was implemented for CEO mission operations support in May 2012.

Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

NASA Astrophysics Data System (ADS)

de Rigo, Daniele

2013-04-01

Computational aspects increasingly shape environmental sciences [1]. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface [2-7]. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) [8-10] - often deal with factors (a) for which deep-uncertainty [2,11-13] may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS [2,8,10,14,15] and free software [16,17] are discussed as possible mitigations (b) . Software uncertainty, black-boxes and free software. Integrated natural resources modelling and management (INRMM) [29] frequently exploits chains of nontrivial data-transformation models (D- TM), each of them affected by uncertainties and errors. Those D-TM chains may be packaged as monolithic specialized models, maybe only accessible as black-box executables (if accessible at all) [50]. For end-users, black-boxes merely transform inputs in the final outputs, relying on classical peer-reviewed publications for describing the internal mechanism. While software tautologically plays a vital role in CS, it is often neglected in favour of more theoretical aspects. This paradox has been provocatively described as "the invisibility of software in published science. Almost all published papers required some coding, but almost none mention software, let alone include or link to source code" [51]. Recently, this primacy of theory over reality [52-54] has been challenged by new emerging hybrid approaches [55] and by the growing debate on open science and scientific knowledge freedom [2,56-59]. In particular, the role of free software has been underlined within the paradigm of reproducible research [50,58-60]. In the spectrum of reproducibility, the free availability of the source code is emphasized [58] as the first step from non-reproducible research (only based on classic peer-reviewed publications) toward reproducibility. Applying this paradigm to WSTMe, an alternative strategy to black-boxes would suggest exposing not only final outputs but also key intermediate layers of data and information along with the corresponding free software D- TM modules. A concise, semantically-enhanced modularization [14,15] may help not only to see the code (as a very basic prerequisite for semantic transparency) but also to understand - and correct - it [61]. Semantically-enhanced, concise modularization is e.g. supported by semantic array programming (SemAP) [14,15] and its extension to geospatial problems [8,10]. Some WSTMe may surely be classified in the subset of software systems which "are growing well past the ability of a small group of people to completely understand the content", while "data from these systems are often used for critical decision making" [52]. In this context, the further uncertainty arising from the unpredicted "(not to say unpredictable)" [53] behaviour of software errors propagation in WSTMe should be explicitly considered as software uncertainty [62,63]. Thedata and informationflow ofa black- box D-TM isoften a(hidden)compositionofD-TM modules: Semantics and design diversity. Silent faults [64] are a critical class of software errors altering computation output without evident symptoms - such as computation premature interruption (exceptions, error messages, ...), obviously unrealistic results or computation patterns (e.g. noticeably shorter/longer or endless computations). As it has been underlined, "many scientific results are corrupted, perhaps fatally so, by undiscovered mistakes in the software used to calculate and present those results" [65]. Despite the ubiquity of software errors [62-70], the structural role of scientific software uncertainty seems dramatically underestimated [2,53]. Semantic D- TM modularization might help to catch at least a subset of silent faults, when misusing intermediate data outside the expected semantic context of a given D- TM module (b). Where the complexity and scale of WSTMe may lead unavoidable software-uncertainty to induce or worsen deep-uncertainty [2], techniques such as ensemble modelling may be recommendable [11-13]. Adapting those techniques for glancing at the software-uncertainty of a given WSTMe would imply availability of multiple instances (implementations) of the same abstract WSTMe. Independently re-implementing the same WSTMe (design diversity [71]) might of course be extremely expensive. However, partly independent re-implementations of critical D- TM modules may be more affordable and examples of comparison between supposedly equivalent D- TM algorithms seem to corroborate the interest of this research option [59,72,51]. References Casagrandi, R., Guariso, G., 2009. Impact of ICT in environmental sciences: A citation analysis 1990-2007. Environmental Modelling & Software 24 (7), 865-871. http://dx.doi.org/10.1016/j.envsoft.2008.11.013 de Rigo, D., 2013. Behind the horizon of reproducible integrated environmental modelling at European scale: ethics and practice of scientific knowledge freedom. F1000 Research. To appear as discussion paper Gomes, C. P., 2009. Computational sustainability: Computational methods for a sustainable environment, economy, and society. The Bridge 39 (4), 5-13. http://www.nae.edu/File.aspx?id=17673 Easterbrook, S. M., Johns, T. C., 2009. Engineering the software for understanding climate change. Computing in Science & Engineering 11 (6), 65-74. http://dx.doi.org/10.1109/MCSE.2009.193 Hamarat, C., Kwakkel, J. H., Pruyt, E., 2012. Adaptive robust design under deep uncertainty. Technological Forecasting and Social Change. http://dx.doi.org/10.1016/j.techfore.2012.10.004 Bankes, S. C., 2002. Tools and techniques for developing policies for complex and uncertain systems. Proceedings of the National Academy of Sciences of the United States of America 99 (Suppl 3), 7263-7266. http://dx.doi.org/10.1073/pnas.092081399 Kandlikar, M., Risbey, J., Dessai, S., 2005. Representing and communicating deep uncertainty in climate-change assessments. Comptes Rendus Geoscience 337 (4), 443-455. http://dx.doi.org/10.1016/j.crte.2004.10.010 de Rigo, D., Corti, P., Caudullo, G., McInerney, D., Di Leo, M., San-Miguel-Ayanz, J., 2013. Toward Open Science at the European scale: Geospatial Semantic Array Programming for Integrated Environmental Modelling. Geophysical Research Abstracts 15, EGU General Assembly 2013 Rodriguez Aseretto, D., Di Leo, M., de Rigo, D., Corti, P., McInerney, D., Camia, A., San Miguel-Ayanz, J., 2013. Free and Open Source Software underpinning the European Forest Data Centre. Geophysical Research Abstracts 15, EGU General Assembly 2013 de Rigo, D., Corti, P., Caudullo, G., McInerney, D., Di Leo, M., San-Miguel-Ayanz, J., (exp. 2013). Supporting Environmental Modelling and Science-Policy Interface at European Scale with Geospatial Semantic Array Programming. In prep. Lempert, R. J., 2002. A new decision sciences for complex systems. Proceedings of the National Academy of Sciences of the United States of America 99 (Suppl 3), 7309-7313. http://dx.doi.org/10.1073/pnas.082081699 Kandlikar, M., Risbey, J., Dessai, S., 2005. Representing and communicating deep uncertainty in climate-change assessments. Comptes Rendus Geoscience 337 (4), 443-455. http://dx.doi.org/10.1016/j.crte.2004.10.010 Gober, P., Kirkwood, C. W., 2010. Vulnerability assessment of climate-induced water shortage in Phoenix. Proceedings of the National Academy of Sciences 107 (50), 21295-21299. http://dx.doi.org/10.1073/pnas.0911113107 de Rigo, D., 2012. Semantic Array Programming for Environmental Modelling: Application of the Mastrave library. In: Seppelt, R., Voinov, A. A., Lange, S., Bankamp, D. (Eds.), International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software. Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting. pp. 1167-1176. http://www.iemss.org/iemss2012/proceedings/D3_1_0715_deRigo.pdf de Rigo, D., 2012. Semantic Array Programming with Mastrave - Introduction to Semantic Computational Modelling. http://mastrave.org/doc/MTV-1.012-1 Free Software Foundation, 2012. What is free software? http://www.gnu.org/philosophy/free-sw.html (revision 1.118 archived at http://www.webcitation.org/6DXqCFAN3 ) Stallman, R. M., 2009. Viewpoint: Why "open source" misses the point of free software. Communications of the ACM 52 (6), 31-33. http://dx.doi.org/10.1145/1516046.1516058 (free access version: http://www.gnu.org/philosophy/open-source-misses-the-point.html ) Lempert, R., Schlesinger, M. E., Jul. 2001. Climate-change strategy needs to be robust. Nature 412 (6845), 375. http://dx.doi.org/10.1038/35086617 Shell, K. M., Nov. 2012. Constraining cloud feedbacks. Science 338 (6108), 755-756. http://dx.doi.org/10.1126/science.1231083 van der Sluijs, J. P., 2012. Uncertainty and dissent in climate risk assessment: A Post-Normal perspective. Nature and Culture 7 (2), 174-195. http://dx.doi.org/10.3167/nc.2012.070204 Lenton, T. M., Held, H., Kriegler, E., Hall, J. W., Lucht, W., Rahmstorf, S., Schellnhuber, H. J., Feb. 2008. Tipping elements in the earth's climate system. Proceedings of the National Academy of Sciences 105 (6), 1786-1793. http://dx.doi.org/10.1073/pnas.0705414105 Hastings, A., Wysham, D. B., Apr. 2010. Regime shifts in ecological systems can occur with no warning. Ecology Letters 13 (4), 464-472. http://dx.doi.org/10.1111/j.1461-0248.2010.01439.x Barnosky, A. D., Hadly, E. A., Bascompte, J., Berlow, E. L., Brown, J. H., Fortelius, M., Getz, W. M., Harte, J., Hastings, A., Marquet, P. A., Martinez, N. D., Mooers, A., Roopnarine, P., Vermeij, G., Williams, J. W., Gillespie, R., Kitzes, J., Marshall, C., Matzke, N., Mindell, D. P., Revilla, E., Smith, A. B., Jun. 2012. Approaching a state shift in earth/'s biosphere. Nature 486 (7401), 52-58. http://dx.doi.org/10.1038/nature11018 Lenton, T. M., Held, H., Kriegler, E., Hall, J. W., Lucht, W., Rahmstorf, S., Schellnhuber, H. J., Feb. 2008. Tipping elements in the earth's climate system. Proceedings of the National Academy of Sciences 105 (6), 1786-1793. http://dx.doi.org/10.1073/pnas.0705414105 Milly, P. C. D., Betancourt, J., Falkenmark, M., Hirsch, R. M., Kundzewicz, Z. W., Lettenmaier, D. P., Stouffer, R. J., 2008. Stationarity is dead: Whither water management? Science 319 (5863), 573-574. http://dx.doi.org/10.1126/science.1151915 Sloan, S., Pelletier, J., 2012. How accurately may we project tropical forest-cover change? a validation of a forward-looking baseline for REDD. Global Environmental Change 22 (2), 440-453. http://dx.doi.org/10.1016/j.gloenvcha.2012.02.001 Nabuurs, G. J., van Putten, B., Knippers, T. S., Mohren, G. M. J., 2008. Comparison of uncertainties in carbon sequestration estimates for a tropical and a temperate forest. Forest Ecology and Management 256 (3), 237-245. http://dx.doi.org/10.1016/j.foreco.2008.04.010 Green, D. G., Sadedin, S., Jun. 2005. Interactions matter-complexity in landscapes and ecosystems. Ecological Complexity 2 (2), 117-130. http://dx.doi.org/10.1016/j.ecocom.2004.11.006 de Rigo, D. 2012. Integrated Natural Resources Modelling and Management: minimal redefinition of a known challenge for environmental modelling. Excerpt from the Call for a shared research agenda toward scientific knowledge freedom, Maieutike Research Initiative. http://www.citeulike.org/groupfunc/15400/home Baker, R., Koch, F., Kriticos, D., Rafoss, T., Venette, R., van der Werf, W. (Eds.), 2012. Advancing risk assessment models for invasive alien species in the food chain: contending with climate change, economics and uncertainty. Vol. 7 of Bioforsk FOKUS. Bioforsk, Frederik A. Dahls vei 20, 1432 Ås, Norway. http://www.pestrisk.org/2012/BioforskFOKUS7-10_IPRMW-VI.pdf de Rigo, D., Caudullo, G., San-Miguel-Ayanz, J., Stancanelli, G., 2012. Mapping European forest tree species distribution to support pest risk assessment. In: Baker, R., Koch, F., Kriticos, D., Rafoss, T., Venette, R., van der Werf, W. (Eds.), Advancing risk assessment models for invasive alien species in the food chain: contending with climate change, economics and uncertainty. Vol. 7 of Bioforsk FOKUS. Bioforsk, Frederik A. Dahls vei 20, 1432 Ås, Norway. http://www.pestrisk.org/2012/BioforskFOKUS7-10_IPRMW-VI.pdf Thompson, I. D., of the Convention on Biological Diversity, S., 2009. Forest resilience, biodiversity, and climate change : a synthesis of the biodiversity/resilience/stability relationship in forest ecosystems. Secretariat of the Convention on Biological Diversity. ISBN: 9292251376 Center for International Forestry Research., FAO Regional Office for Asia and the Pacific, 2005. Forests and floods: drowning in fiction or thriving on facts? Center for International Forestry Research; Food and Agriculture Organization of the United Nations, Regional Office for Asia and the Pacific. http://www.worldcat.org/isbn/9793361646

Autonomous Multi-Sensor Coordination: The Science Goal Monitor

NASA Technical Reports Server (NTRS)

Koratkar, Anuradha; Grosvenor, Sandy; Jung, John; Hess, Melissa; Jones, Jeremy

2004-01-01

Many dramatic earth phenomena are dynamic and coupled. In order to fully understand them, we need to obtain timely coordinated multi-sensor observations from widely dispersed instruments. Such a dynamic observing system must include the ability to Schedule flexibly and react autonomously to sciencehser driven events; Understand higher-level goals of a sciencehser defined campaign; Coordinate various space-based and ground-based resources/sensors effectively and efficiently to achieve goals. In order to capture transient events, such a 'sensor web' system must have an automated reactive capability built into its scientific operations. To do this, we must overcome a number of challenges inherent in infusing autonomy. The Science Goal Monitor (SGM) is a prototype software tool being developed to explore the nature of automation necessary to enable dynamic observing. The tools being developed in SGM improve our ability to autonomously monitor multiple independent sensors and coordinate reactions to better observe dynamic phenomena. The SGM system enables users to specify what to look for and how to react in descriptive rather than technical terms. The system monitors streams of data to identify occurrences of the key events previously specified by the scientisther. When an event occurs, the system autonomously coordinates the execution of the users' desired reactions between different sensors. The information can be used to rapidly respond to a variety of fast temporal events. Investigators will no longer have to rely on after-the-fact data analysis to determine what happened. Our paper describes a series of prototype demonstrations that we have developed using SGM and NASA's Earth Observing-1 (EO-1) satellite and Earth Observing Systems' Aqua/Terra spacecrafts' MODIS instrument. Our demonstrations show the promise of coordinating data from different sources, analyzing the data for a relevant event, autonomously updating and rapidly obtaining a follow-on relevant image. SGM was used to investigate forest fires, floods and volcanic eruptions. We are now identifying new Earth science scenarios that will have more complex SGM reasoning. By developing and testing a prototype in an operational environment, we are also establishing and gathering metrics to gauge the success of automating science campaigns.

The Internet of Samples in the Earth Sciences: Providing Access to Uncurated Collections

NASA Astrophysics Data System (ADS)

Carter, M. R.; Lehnert, K. A.

2014-12-01

Vast amounts of physical samples have been collected in the Earth Sciences for studies that address a wide range of scientific questions. Only a fraction of these samples are well curated and preserved long-term in sample repositories and museums. Many samples and collections are stored in the offices and labs of investigators, or in basements and sheds of institutions and investigators' homes. These 'uncurated' collections often contain samples that have been well studied, or are unique and irreplaceable. They may also include samples that could reveal new insights if re-analyzed using new techniques, or specimens that could have unanticipated relevance to research being conducted in fields other than the one for which they were collected. Currently, these samples cannot be accessed or discovered online by the broader science community. Investigators and departments often lack the resources to properly catalog and curate the samples and respond to requests for splits. Long-term preservation of and access to these samples is usually not provided for. iSamplES, a recently-funded EarthCube Research Coordination Network (RCN), seeks to integrate scientific samples, including 'uncurated' samples, into digital data and information infrastructure in the Earth Sciences and to facilitate their curation, discovery, access, sharing, and analysis. The RCN seeks to develop and implement best practices that increase digital access to samples with the goal of establishing a comprehensive infrastructure not only for the digital, but also physical curation of samples. The RCN will engage a broad group of individuals from domain scientists to curators to publishers to computer scientists to define, articulate, and address the needs and challenges of digital sample management and recommend community-endorsed best practices and standards for registering, describing, identifying, and citing physical specimens, drawing upon other initiatives and existing or emerging software tools for digital sample and collection management. Community engagement will include surveys, in-person workshops and outreach events, the creation of the iSamplES knowledge hub (semantic wiki) and a registry of collections. iSamplES will specifically engage early career scientists to encourage that no samples go uncurated.

ROADNET: A Real-time Data Aware System for Earth, Oceanographic, and Environmental Applications

NASA Astrophysics Data System (ADS)

Vernon, F.; Hansen, T.; Lindquist, K.; Ludascher, B.; Orcutt, J.; Rajasekar, A.

2003-12-01

The Real-time Observatories, Application, and Data management Network (ROADNet) Program aims to develop an integrated, seamless, and transparent environmental information network that will deliver geophysical, oceanographic, hydrological, ecological, and physical data to a variety of users in real-time. ROADNet is a multidisciplinary, multinational partnership of researchers, policymakers, natural resource managers, educators, and students who aim to use the data to advance our understanding and management of coastal, ocean, riparian, and terrestrial Earth systems in Southern California, Mexico, and well off shore. To date, project activity and funding have focused on the design and deployment of network linkages and on the exploratory development of the real-time data management system. We are currently adapting powerful "Data Grid" technologies to the unique challenges associated with the management and manipulation of real-time data. Current "Grid" projects deal with static data files, and significant technical innovation is required to address fundamental problems of real-time data processing, integration, and distribution. The technologies developed through this research will create a system that dynamically adapt downstream processing, cataloging, and data access interfaces when sensors are added or removed from the system; provide for real-time processing and monitoring of data streams--detecting events, and triggering computations, sensor and logger modifications, and other actions; integrate heterogeneous data from multiple (signal) domains; and provide for large-scale archival and querying of "consolidated" data. The software tools which must be developed do not exist, although limited prototype systems are available. This research has implications for the success of large-scale NSF initiatives in the Earth sciences (EarthScope), ocean sciences (OOI- Ocean Observatories Initiative), biological sciences (NEON - National Ecological Observatory Network) and civil engineering (NEES - Network for Earthquake Engineering Simulation). Each of these large scale initiatives aims to collect real-time data from thousands of sensors, and each will require new technologies to process, manage, and communicate real-time multidisciplinary environmental data on regional, national, and global scales.

Vector-Based Data Services for NASA Earth Science

NASA Astrophysics Data System (ADS)

Rodriguez, J.; Roberts, J. T.; Ruvane, K.; Cechini, M. F.; Thompson, C. K.; Boller, R. A.; Baynes, K.

2016-12-01

Vector data sources offer opportunities for mapping and visualizing science data in a way that allows for more customizable rendering and deeper data analysis than traditional raster images, and popular formats like GeoJSON and Mapbox Vector Tiles allow diverse types of geospatial data to be served in a high-performance and easily consumed-package. Vector data is especially suited to highly dynamic mapping applications and visualization of complex datasets, while growing levels of support for vector formats and features in open-source mapping clients has made utilizing them easier and more powerful than ever. NASA's Global Imagery Browse Services (GIBS) is working to make NASA data more easily and conveniently accessible than ever by serving vector datasets via GeoJSON, Mapbox Vector Tiles, and raster images. This presentation will review these output formats, the services, including WFS, WMS, and WMTS, that can be used to access the data, and some ways in which vector sources can be utilized in popular open-source mapping clients like OpenLayers. Lessons learned from GIBS' recent move towards serving vector will be discussed, as well as how to use GIBS open source software to create, configure, and serve vector data sources using Mapserver and the GIBS OnEarth Apache module.

2015 ESGF Progress Report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Williams, D. N.

2015-06-22

The Earth System Grid Federation (ESGF) is a multi-agency, international collaboration whose purpose is to develop the software infrastructure needed to facilitate and empower the study of climate change on a global scale. ESGF’s architecture employs a system of geographically distributed peer nodes that are independently administered yet united by common federation protocols and application programming interfaces. The cornerstones of its interoperability are the peer-to-peer messaging, which is continuously exchanged among all nodes in the federation; a shared architecture for search and discovery; and a security infrastructure based on industry standards. ESGF integrates popular application engines available from the open-sourcemore » community with custom components (for data publishing, searching, user interface, security, and messaging) that were developed collaboratively by the team. The full ESGF infrastructure has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the Coupled Model Intercomparison Project (CMIP)—output used by the Intergovernmental Panel on Climate Change assessment reports. ESGF is a successful example of integration of disparate open-source technologies into a cohesive functional system that serves the needs of the global climate science community.« less

Visualization Case Study: Eyjafjallajökull Ash (Invited)

NASA Astrophysics Data System (ADS)

Simmon, R.

2010-12-01

Although data visualization is a powerful tool in Earth science, the resulting imagery is often complex and difficult to interpret for non-experts. Students, journalists, web site visitors, or museum attendees often have difficulty understanding some of the imagery scientists create, particularly false-color imagery and data-driven maps. Many visualizations are designed for data exploration or peer communication, and often follow discipline conventions or are constrained by software defaults. Different techniques are necessary for communication with a broad audience. Data visualization combines ideas from cognitive science, graphic design, and cartography, and applies them to the challenge of presenting data clearly. Visualizers at NASA's Earth Observatory web site (earthobservatory.nasa.gov) use these techniques to craft remote sensing imagery for interested but non-expert readers. Images range from natural-color satellite images and multivariate maps to illustrations of abstract concepts. I will use imagery of the eruption of Iceland's Eyjafjallajökull volcano as a case study, showing specific applications of general design techniques. By using color carefully (including contextual data), precisely aligning disparate data sets, and highlighting important features, we crafted an image that clearly conveys the complex vertical and horizontal distribution of airborne ash.

Explore GPM IMERG and Other Global Precipitation Products with GES DISC GIOVANNI

NASA Technical Reports Server (NTRS)

Liu, Zhong; Ostrenga, Dana M.; Vollmer, Bruce; MacRitchie, Kyle; Kempler, Steven

2015-01-01

New features and capabilities in the newly released GIOVANNI allow exploring GPM IMERG (Integrated Multi-satelliE Retrievals for GPM) Early, Late and Final Run global half-hourly and monthly precipitation products as well as other precipitation products distributed by the GES DISC such as TRMM Multi-Satellite Precipitation Analysis (TMPA), MERRA (Modern Era Retrospective-Analysis for Research and Applications), NLDAS (North American Land Data Assimilation Systems), GLDAS (Global Land Data Assimilation Systems), etc. GIOVANNI is a web-based tool developed by the GES DISC (Goddard Earth Sciences and Data Information Services Center) to visualize and analyze Earth science data without having to download data and software. The new interface in GIOVANNI allows searching and filtering precipitation products from different NASA missions and projects and expands the capabilities to inter-compare different precipitation products in one interface. Knowing differences in precipitation products is important to identify issues in retrieval algorithms, biases, uncertainties, etc. Due to different formats, data structures, units and so on, it is not easy to inter-compare precipitation products. Newly added features and capabilities (unit conversion, regridding, etc.) in GIOVANNI make inter-comparisons possible. In this presentation, we will describe these new features and capabilities along with examples.

Live Interrogation and Visualization of Earth Systems (LIVES)

NASA Astrophysics Data System (ADS)

Nunn, J. A.; Anderson, L. C.

2007-12-01

Twenty tablet PCs and associated peripherals acquired through a HP Technology for Teaching grant are being used to redesign two freshman laboratory courses as well as a sophomore geobiology course in Geology and Geophysics at Louisiana State University. The two introductory laboratories serve approximately 750 students per academic year including both majors and non-majors; the geobiology course enrolls about 35 students/year and is required for majors in the department's geology concentration. Limited enrollments and 3 hour labs make it possible to incorporate hands-on visualization, animation, GIS, manipulation of data and images, and access to geological data available online. Goals of the course redesigns include: enhancing visualization of earth materials, physical/chemical/biological processes, and biosphere/geosphere history; strengthening student's ability to acquire, manage, and interpret multifaceted geological information; fostering critical thinking, the scientific method, and earth-system science/perspective in ancient and modern environments (such as coastal erosion and restoration in Louisiana or the Snowball Earth hypothesis); improving student communication skills; and increasing the quantity, quality, and diversity of students pursuing Earth Science careers. IT resources available in the laboratory provide students with sophisticated visualization tools, allowing them to switch between 2-D and 3-D reconstructions more seamlessly, and enabling them to manipulate larger integrated data- sets, thus permitting more time for critical thinking and hypothesis testing. IT resources also enable faculty and students to simultaneously work with simulation software to animate earth processes such as plate motions or groundwater flow and immediately test hypothesis formulated in the data analysis. Finally, tablet PCs make it possible for data gathering and analysis outside a formal classroom. As a result, students will achieve fluency in using visualization and technology for informal and formal scientific communication. The equipment and exercises developed also will be used in additional upper level undergraduate classes and two outreach programs: NSF funded Geoscience Alliance for Enhanced Minority Participation and Shell Foundation funded Shell Undergraduate Recruiting and Geoscience Education.

A Global Repository for Planet-Sized Experiments and Observations

NASA Technical Reports Server (NTRS)

Williams, Dean; Balaji, V.; Cinquini, Luca; Denvil, Sebastien; Duffy, Daniel; Evans, Ben; Ferraro, Robert D.; Hansen, Rose; Lautenschlager, Michael; Trenham, Claire

2016-01-01

Working across U.S. federal agencies, international agencies, and multiple worldwide data centers, and spanning seven international network organizations, the Earth System Grid Federation (ESGF) allows users to access, analyze, and visualize data using a globally federated collection of networks, computers, and software. Its architecture employs a system of geographically distributed peer nodes that are independently administered yet united by common federation protocols and application programming interfaces (APIs). The full ESGF infrastructure has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the Coupled Model Intercomparison Project (CMIP) output used by the Intergovernmental Panel on Climate Change assessment reports. Data served by ESGF not only include model output (i.e., CMIP simulation runs) but also include observational data from satellites and instruments, reanalyses, and generated images. Metadata summarize basic information about the data for fast and easy data discovery.

GLAS Long-Term Archive: Preservation and Stewardship for a Vital Earth Observing Mission

NASA Astrophysics Data System (ADS)

Fowler, D. K.; Moses, J. F.; Zwally, J.; Schutz, B. E.; Hancock, D.; McAllister, M.; Webster, D.; Bond, C.

2012-12-01

Data Stewardship, preservation, and reproducibility are fast becoming principal parts of a data manager's work. In an era of distributed data and information systems, it is of vital importance that organizations make a commitment to both current and long-term goals of data management and the preservation of scientific data. Satellite missions and instruments go through a lifecycle that involves pre-launch calibration, on-orbit data acquisition and product generation, and final reprocessing. Data products and descriptions flow to the archives for distribution on a regular basis during the active part of the mission. However there is additional information from the product generation and science teams needed to ensure the observations will be useful for long term climate studies. Examples include ancillary input datasets, product generation software, and production history as developed by the team during the course of product generation. These data and information will need to be archived after product data processing is completed. NASA has developed a set of Earth science data and information content requirements for long term preservation that is being used for all the EOS missions as they come to completion. Since the ICESat/GLAS mission was one of the first to end, NASA and NSIDC, in collaboration with the science team, are collecting data, software, and documentation, preparing for long-term support of the ICESat mission. For a long-term archive, it is imperative to preserve sufficient information about how products were prepared in order to ensure future researchers that the scientific results are accurate, understandable, and useable. Our experience suggests data centers know what to preserve in most cases. That is, the processing algorithms along with the Level 0 or Level 1a input and ancillary products used to create the higher-level products will be archived and made available to users. In other cases, such as pre-launch, calibration/validation, and test data, the data centers must seek guidance from the science team. All these data are essential for product provenance, contributing to and helping establish the integrity of the scientific observations for long term climate studies. In this presentation we will describe application of information gathering with guidance from the ICESat/GLAS Science Team, and the flow of additional information from the ICESat Science team and Science Investigator-Led Processing System to the NSIDC Distributed Active Archive Center. This presentation will also cover how we envision user support through the years of the Long-Term Archive.

Earthquake!: An Event-Based Science Module. Teacher's Guide. Earth Science Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school earth science teachers to help their students learn about earthquakes and scientific literacy through event-based science. Unlike traditional curricula, the event- based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork,…

MAESTRO: Mathematics and Earth Science Teachers' Resource Organization

NASA Astrophysics Data System (ADS)

Courtier, A. M.; Pyle, E. J.; Fichter, L.; Lucas, S.; Jackson, A.

2013-12-01

The Mathematics and Earth Science Teachers' Resource Organization (MAESTRO) partnership between James Madison University and Harrisonburg City and Page County Public Schools, funded through NSF-GEO. The partnership aims to transform mathematics and Earth science instruction in middle and high schools by developing an integrated mathematics and Earth systems science approach to instruction. This curricular integration is intended to enhance the mathematical skills and confidence of students through concrete, Earth systems-based examples, while increasing the relevance and rigor of Earth science instruction via quantification and mathematical modeling of Earth system phenomena. MAESTRO draws heavily from the Earth Science Literacy Initiative (2009) and is informed by criterion-level standardized test performance data in both mathematics and Earth science. The project has involved two summer professional development workshops, academic year Lesson Study (structured teacher observation and reflection), and will incorporate site-based case studies with direct student involvement. Participating teachers include Grade 6 Science and Mathematics teachers, and Grade 9 Earth Science and Algebra teachers. It is anticipated that the proposed integration across grade bands will first strengthen students' interests in mathematics and science (a problem in middle school) and subsequently reinforce the relevance of mathematics and other sciences (a problem in high school), both in support of Earth systems literacy. MAESTRO's approach to the integration of math and science focuses on using box models to emphasize the interconnections among the geo-, atmo-, bio-, and hydrospheres, and demonstrates the positive and negative feedback processes that connect their mutual evolution. Within this framework we explore specific relationships that can be described both qualitatively and mathematically, using mathematical operations appropriate for each grade level. Site-based case studies, developed in collaboration between teachers and JMU faculty members, provide a tangible, relevant setting in which students can apply and understand mathematical applications and scientific processes related to evolving Earth systems. Initial results from student questionnaires and teacher focus groups suggest that the anticipated impacts of MAESTRO on students are being realized, including increased valuing of mathematics and Earth science in society and transfer between mathematics and science courses. As a high percentage of students in the MAESTRO schools are of low socio-economic status, they also face the prospect of becoming first-generation college students, hopefully considering STEM academic pathways. MAESTRO will drive the development of challenging and engaging instruction designed to draw a larger pool of students into STEM career pathways.

Embracing the Importance of FAIR Research Products - Findable, Accessible, Interoperable, and Reusable

NASA Astrophysics Data System (ADS)

Stall, S.

2017-12-01

Integrity and transparency within research is solidified by a complete set of research products that are findable, accessible, interoperable, and reusable. In other words, they follow the FAIR Guidelines developed by FORCE11.org. Your datasets, images, video, software, scripts, models, physical samples, and other tools and technology are an integral part of the narrative you tell about your research. These research products increasingly are being captured through workflow tools and preserved and connected through persistent identifiers across multiple repositories that keep them safe. They help secure, with your publications, the supporting evidence and integrity of the scientific record. This is the direction that Earth and space science as well as other disciplines is moving. Within our community, some science domains are further along, and others are taking more measured steps. AGU as a publisher is working to support the full scientific record with peer reviewed publications. Working with our community and all the Earth and space science journals, AGU is developing new policies to encourage researchers to plan for proper data preservation and provide data citations along with their research submission and to encourage adoption of best practices throughout the research workflow and data life cycle. Providing incentives, community standards, and easy-to-use tools are some important factors for helping researchers embrace the FAIR Guidelines and support transparency and integrity.

Next Generation Astronomical Data Processing using Big Data Technologies from the Apache Software Foundation

NASA Astrophysics Data System (ADS)

Mattmann, Chris

2014-04-01

In this era of exascale instruments for astronomy we must naturally develop next generation capabilities for the unprecedented data volume and velocity that will arrive due to the veracity of these ground-based sensor and observatories. Integrating scientific algorithms stewarded by scientific groups unobtrusively and rapidly; intelligently selecting data movement technologies; making use of cloud computing for storage and processing; and automatically extracting text and metadata and science from any type of file are all needed capabilities in this exciting time. Our group at NASA JPL has promoted the use of open source data management technologies available from the Apache Software Foundation (ASF) in pursuit of constructing next generation data management and processing systems for astronomical instruments including the Expanded Very Large Array (EVLA) in Socorro, NM and the Atacama Large Milimetre/Sub Milimetre Array (ALMA); as well as for the KAT-7 project led by SKA South Africa as a precursor to the full MeerKAT telescope. In addition we are funded currently by the National Science Foundation in the US to work with MIT Haystack Observatory and the University of Cambridge in the UK to construct a Radio Array of Portable Interferometric Devices (RAPID) that will undoubtedly draw from the rich technology advances underway. NASA JPL is investing in a strategic initiative for Big Data that is pulling in these capabilities and technologies for astronomical instruments and also for Earth science remote sensing. In this talk I will describe the above collaborative efforts underway and point to solutions in open source from the Apache Software Foundation that can be deployed and used today and that are already bringing our teams and projects benefits. I will describe how others can take advantage of our experience and point towards future application and contribution of these tools.

An interactive, multi-touch videowall for scientific data exploration

NASA Astrophysics Data System (ADS)

Blower, Jon; Griffiths, Guy; van Meersbergen, Maarten; Lusher, Scott; Styles, Jon

2014-05-01

The use of videowalls for scientific data exploration is rising as hardware becomes cheaper and the availability of software and multimedia content grows. Most videowalls are used primarily for outreach and communication purposes, but there is increasing interest in using large display screens to support exploratory visualization as an integral part of scientific research. In this PICO presentation we will present a brief overview of a new videowall system at the University of Reading, which is designed specifically to support interactive, exploratory visualization activities in climate science and Earth Observation. The videowall consists of eight 42-inch full-HD screens (in 4x2 formation), giving a total resolution of about 16 megapixels. The display is managed by a videowall controller, which can direct video to the screen from up to four external laptops, a purpose-built graphics workstation, or any combination thereof. A multi-touch overlay provides the capability for the user to interact directly with the data. There are many ways to use the videowall, and a key technical challenge is to make the most of the touch capabilities - touch has the potential to greatly reduce the learning curve in interactive data exploration, but most software is not yet designed for this purpose. In the PICO we will present an overview of some ways in which the wall can be employed in science, seeking feedback and discussion from the community. The system was inspired by an existing and highly-successful system (known as the "Collaboratorium") at the Netherlands e-Science Center (NLeSC). We will demonstrate how we have adapted NLeSC's visualization software to our system for touch-enabled multi-screen climate data exploration.

Student Geoscientists Explore the Earth during Earth Science Week 2005

ERIC Educational Resources Information Center

Benbow, Ann E.; Camphire, Geoff

2005-01-01

Taking place October 9-15, Earth Science Week 2005 will celebrate the theme "Geoscientists Explore the Earth." The American Geological Institute (AGI) is organizing the event, as always, to help people better understand and appreciate the Earth sciences and to encourage stewardship of the planet. This year, the focus will be on the wide range of…

Earth Science Education Plan: Inspire the Next Generation of Earth Explorers

NASA Technical Reports Server (NTRS)

2004-01-01

The Education Enterprise Strategy, the expanding knowledge of how people learn, and the community-wide interest in revolutionizing Earth and space science education have guided us in developing this plan for Earth science education. This document builds on the success of the first plan for Earth science education published in 1996; it aligns with the new framework set forth in the NASA Education Enterprise Strategy; it recognizes the new educational opportunities resulting from research programs and flight missions; and it builds on the accomplishments th'at the Earth Science Enterprise has made over the last decade in studying Earth as a system. This document embodies comprehensive, practicable plans for inspiring our children; providing educators with the tools they need to teach science, technology, engineering, and mathematics (STEM); and improving our citizens' scientific literacy. This plan describes an approach to systematically sharing knowledge; developing the most effective mechanisms to achieve tangible, lasting results; and working collaboratively to catalyze action at a scale great enough to ensure impact nationally and internationally. This document will evolve and be periodically reviewed in partnership with the Earth science education community.

Teachers' Perspectives of the New Western Australian Earth and Environmental Science Course: Lessons for the Australian Curriculum

ERIC Educational Resources Information Center

Dawson, Vaille; Moore, Leah

2011-01-01

In 2007, a new upper secondary course, Earth and Environmental Science (EES) was introduced in Western Australia. The development and implementation of the course was supported by Earth Science Western Australia (ESWA), a consortium of universities, the CSIRO and other organisations. The role of ESWA is to support the teaching of earth science in…

Ground Water Studies. Earth Science Module for Grades 7-9.

ERIC Educational Resources Information Center

Baldwin, Roland L.; And Others

Earth science education needs to be relevant to students in order to make them aware of the serious problems facing the planet. In an effort to insure that this need is meet, the Denver Earth Science Project has set as one of their goals the development of new earth science curriculum materials for teachers. This document provides a collection of…

Moving Towards a Science-Driven Workbench for Earth Science Solutions

NASA Astrophysics Data System (ADS)

Graves, S. J.; Djorgovski, S. G.; Law, E.; Yang, C. P.; Keiser, K.

2017-12-01

The NSF-funded EarthCube Integration and Test Environment (ECITE) prototype was proposed as a 2015 Integrated Activities project and resulted in the prototyping of an EarthCube federated cloud environment and the Integration and Testing Framework. The ECITE team has worked with EarthCube science and technology governance committees to define the types of integration, testing and evaluation necessary to achieve and demonstrate interoperability and functionality that benefit and support the objectives of the EarthCube cyber-infrastructure. The scope of ECITE also includes reaching beyond NSF and EarthCube to work with the broader Earth science community, such as the Earth Science Information Partners (ESIP) to incorporate lessons learned from other testbed activities, and ultimately provide broader community benefits. This presentation will discuss evolving ECITE ideas for a science-driven workbench that will start with documented science use cases, map the use cases to solution scenarios that identify the available technology and data resources that match the use case, the generation of solution workflows and test plans, the testing and evaluation of the solutions in a cloud environment, and finally the documentation of identified technology and data gaps that will assist with driving the development of additional EarthCube resources.

Earth Science Informatics - Overview

NASA Technical Reports Server (NTRS)

Ramapriyan, H. K.

2017-01-01

Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes over 180 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies.

Supporting Inquiry-based Earth System Science Instruction with Middle and High School Earth Science Teachers

NASA Astrophysics Data System (ADS)

Finkel, L.; Varner, R.; Froburg, E.; Smith, M.; Graham, K.; Hale, S.; Laura, G.; Brown, D.; Bryce, J.; Darwish, A.; Furman, T.; Johnson, J.; Porter, W.; von Damm, K.

2007-12-01

The Transforming Earth System Science Education (TESSE) project, a partnership between faculty at the University of New Hampshire, Pennsylvania State University, Elizabeth City State University and Dillard University, is designed to enrich the professional development of in-service and pre-service Earth science teachers. One goal of this effort is to help teachers use an inquiry-based approach to teaching Earth system science in their classrooms. As a part of the TESSE project, 42 pre-service and in-service teachers participated in an intensive two-week summer institute at UNH taught by Earth scientists and science educators from TESSE partnership institutions. The institute included instruction about a range of Earth science system topics as well as an introduction to teaching Earth science using an inquiry-based approach. In addition to providing teachers with information about inquiry-based science teaching in the form of sample lesson plans and opportunities to revise traditional lessons and laboratory exercises to make them more inquiry-based, TESSE instructors modeled an inquiry- based approach in their own teaching as much as possible. By the end of the Institute participants had developed lesson plans, units, or year-long course overviews in which they were expected to explain the ways in which they would include an inquiry-based approach in their Earth science teaching over the course of the school year. As a part of the project, graduate fellows (graduate students in the earth sciences) will work with classroom teachers during the academic year to support their implementation of these plans as well as to assist them in developing a more comprehensive inquiry-based approach in the classroom.

Enabling the Usability of Earth Science Data Products and Services by Evaluating, Describing, and Improving Data Quality throughout the Data Lifecycle

NASA Astrophysics Data System (ADS)

Downs, R. R.; Peng, G.; Wei, Y.; Ramapriyan, H.; Moroni, D. F.

2015-12-01

Earth science data products and services are being used by representatives of various science and social science disciplines, by planning and decision-making professionals, by educators and learners ranging from primary through graduate and informal education, and by the general public. The diversity of users and uses of Earth science data is gratifying and offers new challenges for enabling the usability of these data by audiences with various purposes and levels of expertise. Users and other stakeholders need capabilities to efficiently find, explore, select, and determine the applicability and suitability of data products and services to meet their objectives and information needs. Similarly, they need to be able to understand the limitations of Earth science data, which can be complex, especially when considering combined or simultaneous use of multiple data products and services. Quality control efforts of stakeholders, throughout the data lifecycle, can contribute to the usability of Earth science data to meet the needs of diverse users. Such stakeholders include study design teams, data producers, data managers and curators, archives, systems professionals, data distributors, end-users, intermediaries, sponsoring organizations, hosting institutions, and others. Opportunities for engaging stakeholders to review, describe, and improve the quality of Earth science data products and services throughout the data lifecycle are identified and discussed. Insight is shared from the development of guidelines for implementing the Group on Earth Observations (GEO) Data Management Principles, the recommendations from the Earth Science Data System Working Group (ESDSWG) on Data Quality, and the efforts of the Information Quality Cluster of the Federation of Earth Science Information Partners (ESIP). Examples and outcomes from quality control efforts of data facilities, such as scientific data centers, that contribute to the usability of Earth science data also are offered.

Earth Science Informatics - Overview

NASA Technical Reports Server (NTRS)

Ramapriyan, H. K.

2017-01-01

Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes over 180 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies.The talk will present an overview of current efforts in ESI, the role members of IEEE GRSS play, and discuss recent developments in data preservation and provenance.

What to do when the Universities reject High School Earth Science

NASA Astrophysics Data System (ADS)

Van Norden, W.

2011-12-01

It is hard to imagine a state of the union more affected by Earth processes than the state of California. However, the University of California actively discourages High School students from taking Earth Science courses. For admission into the University of California students are required to take at least 2 years of courses that offer a fundamental knowledge in at least two of these three foundational subjects: biology, chemistry, and physics. Earth Science courses simply don't qualify as laboratory science courses. The UC Admissions will sometimes make an exception for an Earth Science course only if it is shown to contain a large component of biology, chemistry and physics topics. Since students don't get credit for admission for taking Earth Science, High Schools are quick to drop Earth Science courses for their college-bound students. A group of teachers and University professors have been working to reverse this policy by creating a rigorous capstone Earth Science course that clearly merits laboratory status. Getting this course accepted by the University of California is well on its way, but getting the course into the High Schools will take a lot of work and probably some extra funding.

Integrating Authentic Earth Science Data in Online Visualization Tools and Social Media Networking to Promote Earth Science Education

NASA Astrophysics Data System (ADS)

Carter, B. L.; Campbell, B.; Chambers, L.; Davis, A.; Riebeek, H.; Ward, K.

2008-12-01

The Goddard Space Flight Center (GSFC) is one of the largest Earth Science research-based institutions in the nation. Along with the research comes a dedicated group of people who are tasked with developing Earth science research-based education and public outreach materials to reach the broadest possible range of audiences. The GSFC Earth science education community makes use of a wide variety of platforms in order to reach their goals of communicating science. These platforms include using social media networking such as Twitter and Facebook, as well as geo-spatial tools such as MY NASA DATA, NASA World Wind, NEO, and Google Earth. Using a wide variety of platforms serves the dual purposes of promoting NASA Earth Science research and making authentic data available to educational communities that otherwise might not otherwise be granted access. Making data available to education communities promotes scientific literacy through the investigation of scientific phenomena using the same data that is used by the scientific community. Data from several NASA missions will be used to demonstrate the ways in which Earth science data are made available for the education community.

Critical Zone Science as a Multidisciplinary Framework for Teaching Earth Science and Sustainability

NASA Astrophysics Data System (ADS)

Wymore, A.; White, T. S.; Dere, A. L. D.; Hoffman, A.; Washburne, J. C.; Conklin, M. H.

2016-12-01

The Earth's Critical Zone (CZ) is the terrestrial portion of the continents ranging from the top of the vegetative canopy down through soil and bedrock to the lowest extent of freely circulating groundwater. The primary objective of CZ science is to characterize and understand how the reciprocal interactions among rock, soil, water, air and terrestrial organisms influence the Earth as a habitable environment. Thus it is a highly multidisciplinary science that incorporates the biological, hydrological, geological and atmospheric sciences and provides a holistic approach to teaching Earth system science. Here we share highlights from a full-semester university curriculum that introduces upper-division Environmental Science, Geology, Hydrology and Earth Science students to CZ science. We emphasize how a CZ framework is appropriate to teach concepts across the scientific disciplines, concepts of sustainability, and how CZ science serves as a useful approach to solving humanities' grand challenges.

Implementation of small group discussion as a teaching method in earth and space science subject

NASA Astrophysics Data System (ADS)

Aryani, N. P.; Supriyadi

2018-03-01

In Physics Department Universitas Negeri Semarang, Earth and Space Science subject is included in the curriculum of the third year of physics education students. There are various models of teaching earth and space science subject such as textbook method, lecturer, demonstrations, study tours, problem-solving method, etc. Lectures method is the most commonly used of teaching earth and space science subject. The disadvantage of this method is the lack of two ways interaction between lecturers and students. This research used small group discussion as a teaching method in Earth and Space science. The purpose of this study is to identify the conditions under which an efficient discussion may be initiated and maintained while students are investigating properties of earth and space science subjects. The results of this research show that there is an increase in student’s understanding of earth and space science subject proven through the evaluation results. In addition, during the learning process, student’s activeness also increase.

Virginia Earth Science Collaborative: Developing Highly Qualified Teachers

NASA Astrophysics Data System (ADS)

Cothron, J.

2007-12-01

A collaborative of nine institutes of higher education and non-profits and seventy-one school divisions developed and implemented courses that will enable teachers to acquire an Add-On Earth Science endorsement and to improve their skills in teaching Earth Science. For the Earth Science Endorsement, the five courses and associated credits are Physical Geology (4), Geology of Virginia (4), Oceanography (4), Astronomy (3) and Meteorology (3). The courses include rigorous academic content, research-based instructional strategies, laboratory experiences, and intense field experiences. In addition, courses were offered on integrating new technologies into the earth sciences, developing virtual field trips, and teaching special education students. To date, 39 courses have been offered statewide, with over 560 teachers participating. Teachers showed increased conceptual understanding of earth science topics as measured by pre-post tests. Other outcomes include a project website, a collaborative of over 60 IHE and K-12 educators, pilot instruments, and a statewide committee focused on policy in the earth sciences.

Practices in NASA's EOSDIS to Promote Open Data and Research Integrity

NASA Astrophysics Data System (ADS)

Behnke, J.; Ramapriyan, H.

2017-12-01

The purpose of this paper is to highlight the key practices adopted by NASA in its Earth Observing System Data and Information System (EOSDIS) to promote and facilitate open data and research integrity. EOSDIS is the system that manages most of NASA's Earth science data from various sources - satellites, aircraft, field campaigns and some research projects. Since its inception in 1990 as a part of the Earth Observing System (EOS) Program, EOSDIS has been following NASA's free and open data and information policy, whereby data are shared with all users on a non-discriminatory basis and are provided at no cost. To ensure that the data are discoverable and accessible to the user community, NASA follows an evolutionary development approach, whereby the latest technologies that can be practically adopted are infused into EOSDIS. This results in continuous improvements in system capabilities such that technologies that users are accustomed to in other environments are brought to bear in their access to NASA's Earth observation data. Mechanisms have existed for ensuring that the data products offered by EOSDIS are vetted by the community before they are released. Information about data products such as Algorithm Theoretical Basis Documents and quality assessments are openly available with the products. The EOSDIS Distributed Active Archive Centers (DAACs) work with the science teams responsible for product generation to assist with proper use of metadata. The DAACs have knowledgeable staff to answer users' questions and have access to scientific experts as needed. Citation of data products in scientific papers are facilitated by assignment of Digital Object Identifiers (DOIs) - at present, over 50% of data products in EOSDIS have been assigned DOIs. NASA gathers and publishes citation metrics for the datasets offered by the DAACs. Through its Software and Services Citations Working Group, NASA is currently investigating broadening DOI assignments to promote greater provenance traceability. NASA has developed Preservation Content Specifications for Earth science data to ensure that provenance and context are captured and preserved for the future and is applying them to data and information from its missions. All these actions promote availability of information to promote integrity in scientific research.

A Tool Supporting Collaborative Data Analytics Workflow Design and Management

NASA Astrophysics Data System (ADS)

Zhang, J.; Bao, Q.; Lee, T. J.

2016-12-01

Collaborative experiment design could significantly enhance the sharing and adoption of the data analytics algorithms and models emerged in Earth science. Existing data-oriented workflow tools, however, are not suitable to support collaborative design of such a workflow, to name a few, to support real-time co-design; to track how a workflow evolves over time based on changing designs contributed by multiple Earth scientists; and to capture and retrieve collaboration knowledge on workflow design (discussions that lead to a design). To address the aforementioned challenges, we have designed and developed a technique supporting collaborative data-oriented workflow composition and management, as a key component toward supporting big data collaboration through the Internet. Reproducibility and scalability are two major targets demanding fundamental infrastructural support. One outcome of the project os a software tool, supporting an elastic number of groups of Earth scientists to collaboratively design and compose data analytics workflows through the Internet. Instead of recreating the wheel, we have extended an existing workflow tool VisTrails into an online collaborative environment as a proof of concept.

Big Data breaking barriers - first steps on a long trail

NASA Astrophysics Data System (ADS)

Schade, S.

2015-04-01

Most data sets and streams have a geospatial component. Some people even claim that about 80% of all data is related to location. In the era of Big Data this number might even be underestimated, as data sets interrelate and initially non-spatial data becomes indirectly geo-referenced. The optimal treatment of Big Data thus requires advanced methods and technologies for handling the geospatial aspects in data storage, processing, pattern recognition, prediction, visualisation and exploration. On the one hand, our work exploits earth and environmental sciences for existing interoperability standards, and the foundational data structures, algorithms and software that are required to meet these geospatial information handling tasks. On the other hand, we are concerned with the arising needs to combine human analysis capacities (intelligence augmentation) with machine power (artificial intelligence). This paper provides an overview of the emerging landscape and outlines our (Digital Earth) vision for addressing the upcoming issues. We particularly request the projection and re-use of the existing environmental, earth observation and remote sensing expertise in other sectors, i.e. to break the barriers of all of these silos by investigating integrated applications.

What Makes Earth and Space Science Sexy? A Model for Developing Systemic Change in Earth and Space Systems Science Curriculum and Instruction

NASA Astrophysics Data System (ADS)

Slutskin, R. L.

2001-12-01

Earth and Space Science may be the neglected child in the family of high school sciences. In this session, we examine the strategies that Anne Arundel County Public Schools and NASA Goddard Space Flight Center used to develop a dynamic and highly engaging program which follows the vision of the National Science Education Standards, is grounded in key concepts of NASA's Earth Science Directorate, and allows students to examine and apply the current research of NASA scientists. Find out why Earth/Space Systems Science seems to have usurped biology and has made students, principals, and teachers clamor for similar instructional practices in what is traditionally thought of as the "glamorous" course.

Software requirements flow-down and preliminary software design for the G-CLEF spectrograph

NASA Astrophysics Data System (ADS)

Evans, Ian N.; Budynkiewicz, Jamie A.; DePonte Evans, Janet; Miller, Joseph B.; Onyuksel, Cem; Paxson, Charles; Plummer, David A.

2016-08-01

The Giant Magellan Telescope (GMT)-Consortium Large Earth Finder (G-CLEF) is a fiber-fed, precision radial velocity (PRV) optical echelle spectrograph that will be the first light instrument on the GMT. The G-CLEF instrument device control subsystem (IDCS) provides software control of the instrument hardware, including the active feedback loops that are required to meet the G-CLEF PRV stability requirements. The IDCS is also tasked with providing operational support packages that include data reduction pipelines and proposal preparation tools. A formal, but ultimately pragmatic approach is being used to establish a complete and correct set of requirements for both the G-CLEF device control and operational support packages. The device control packages must integrate tightly with the state-machine driven software and controls reference architecture designed by the GMT Organization. A model-based systems engineering methodology is being used to develop a preliminary design that meets these requirements. Through this process we have identified some lessons that have general applicability to the development of software for ground-based instrumentation. For example, tasking an individual with overall responsibility for science/software/hardware integration is a key step to ensuring effective integration between these elements. An operational concept document that includes detailed routine and non- routine operational sequences should be prepared in parallel with the hardware design process to tie together these elements and identify any gaps. Appropriate time-phasing of the hardware and software design phases is important, but revisions to driving requirements that impact software requirements and preliminary design are inevitable. Such revisions must be carefully managed to ensure efficient use of resources.

ICESat (GLAS) Science Processing Software Document Series. Volume 1; Science Software Management Plan; 3.0

NASA Technical Reports Server (NTRS)

Hancock, David W., III

1999-01-01

This document provides the Software Management Plan for the GLAS Standard Data Software (SDS) supporting the GLAS instrument of the EOS ICESat Spacecraft. The SDS encompasses the ICESat Science Investigator-led Processing System (I-SIPS) Software and the Instrument Support Terminal (IST) Software. For the I-SIPS Software, the SDS will produce Level 0, Level 1, and Level 2 data products as well as the associated product quality assessments and descriptive information. For the IST Software, the SDS will accommodate the GLAS instrument support areas of engineering status, command, performance assessment, and instrument health status.

Architecture and evolution of Goddard Space Flight Center Distributed Active Archive Center

NASA Technical Reports Server (NTRS)

Bedet, Jean-Jacques; Bodden, Lee; Rosen, Wayne; Sherman, Mark; Pease, Phil

1994-01-01

The Goddard Space Flight Center (GSFC) Distributed Active Archive Center (DAAC) has been developed to enhance Earth Science research by improved access to remote sensor earth science data. Building and operating an archive, even one of a moderate size (a few Terabytes), is a challenging task. One of the critical components of this system is Unitree, the Hierarchical File Storage Management System. Unitree, selected two years ago as the best available solution, requires constant system administrative support. It is not always suitable as an archive and distribution data center, and has moderate performance. The Data Archive and Distribution System (DADS) software developed to monitor, manage, and automate the ingestion, archive, and distribution functions turned out to be more challenging than anticipated. Having the software and tools is not sufficient to succeed. Human interaction within the system must be fully understood to improve efficiency to improve efficiency and ensure that the right tools are developed. One of the lessons learned is that the operability, reliability, and performance aspects should be thoroughly addressed in the initial design. However, the GSFC DAAC has demonstrated that it is capable of distributing over 40 GB per day. A backup system to archive a second copy of all data ingested is under development. This backup system will be used not only for disaster recovery but will also replace the main archive when it is unavailable during maintenance or hardware replacement. The GSFC DAAC has put a strong emphasis on quality at all level of its organization. A Quality team has also been formed to identify quality issues and to propose improvements. The DAAC has conducted numerous tests to benchmark the performance of the system. These tests proved to be extremely useful in identifying bottlenecks and deficiencies in operational procedures.

E-Collaboration for Earth Observation (E-CEO) with the example of Contest #3 that focuses on the Atmospheric Correction of Ocean Colour data

NASA Astrophysics Data System (ADS)

Lavender, Samantha; Brito, Fabrice; Aas, Christina; Casu, Francesco; Ribeiro, Rita; Farres, Jordi

2014-05-01

Data challenges are becoming the new method to promote innovation within data-intensive applications; building or evolving user communities and potentially developing sustainable commercial services. These can utilise the vast amount of information (both in scope and volume) that's available online, and profits from reduced processing costs. Data Challenges are also closely related to the recent paradigm shift towards e-Science, also referred to as "data-intensive science'. The E-CEO project aims to deliver a collaborative platform that, through Data Challenge Contests, will improve the adoption and outreach of new applications and methods to processes Earth Observation (EO) data. Underneath, the backbone must be a common environment where the applications can be developed, deployed and executed. Then, the results need to be easily published in a common visualization platform for their effective validation, evaluation and transparent peer comparisons. Contest #3 is based around the atmospheric correction (AC) of ocean colour data with a particular focus on the use of auxiliary data files for processing Level 1 (Top of Atmosphere, TOA, calibrated radiances/reflectances) to Level 2 products (Bottom of Atmosphere, BOA, calibrated radiances/reflectance and derived products). Scientific researchers commonly accept the auxiliary inputs that they've been provided with and/or use the climatological data that accompanies the processing software; often because it can be difficult to obtain multiple data sources and convert them into a format the software accepts. Therefore, it's proposed to compare various ocean colour AC approaches and in the process study the uncertainties associated with using different meteorological auxiliary products for the processing of Medium Resolution Imaging Spectrometer (MERIS) i.e. the sensitivity of different atmospheric correction input assumptions.

An Analysis of Misconceptions in Science Textbooks: Earth Science in England and Wales

ERIC Educational Resources Information Center

King, Chris John Henry

2010-01-01

Surveys of the earth science content of all secondary (high school) science textbooks and related publications used in England and Wales have revealed high levels of error/misconception. The 29 science textbooks or textbook series surveyed (51 texts in all) showed poor coverage of National Curriculum earth science and contained a mean level of one…

Geospatial Education and Research Development: A Laboratory for Remote Sensing and Environmental Analysis (LaRSEA)

NASA Technical Reports Server (NTRS)

Allen, Thomas R., Jr.

1999-01-01

Old Dominion University has claimed the title "University of the 21st Century," with a bold emphasis on technology innovation and application. In keeping with this claim, the proposed work has implemented a new laboratory equipped for remote sensing as well as curriculum and research innovations afforded for present and future faculty and students. The developments summarized within this report would not have been possible without the support of the NASA grant and significant cost-sharing of several units within the University. The grant effectively spring-boarded the university into major improvements in its approach to remote sensing and geospatial information technologies. The university has now committed to licensing Erdas Imagine software for the laboratory, a campus-wide ESRI geographic information system (GIS) products license, and several smaller software and hardware utilities available to faculty and students through the laboratory. Campus beneficiaries of this grant have included faculty from departments including Ocean, Earth. and Atmospheric Sciences, Political Science and Geography, Ecological Sciences, Environmental Health, and Civil and Environmental Engineering. High student interest is evidenced in students in geology, geography, ecology, urban studies, and planning. Three new courses have been added to the catalog and offered this year. Cross-cutting curriculum changes are in place with growing enrollments in remote sensing, GIS, and a new co-taught seminar in applied coastal remote sensing. The enabling grant has also allowed project participants to attract external funding for research grants, thereby providing additional funds beyond the planned matching, maintenance and growth of software and hardware, and stipends for student assistants. Two undergraduate assistants and two graduate assistants have been employed by full-time assistantships as a result. A new certificate is offered to students completing an interdisciplinary course sequence in remote sensing and coastal environments. Subsequent phases of the project are under planning. including seminars for regional coastal managers and public dissemination of remote sensing science through the local media and university publications.