NASA Astrophysics Data System (ADS)
Girvetz, E. H.; Zganjar, C.; Raber, G. T.; Maurer, E. P.; Duffy, P.
2009-12-01
Virtually all fields of study and parts of society—from ecological science and nature conservation, to global development, multinational corporations, and government bodies—need to know how climate change has and may impact specific locations of interest. Our ability to respond to climate change depends on having convenient tools that make past and projected climate trends available to planners, managers, scientists and the general public, at scales ranging from global to local scales. Web-mapping applications provide an effective platform for communicating climate change impacts in specific geographic areas of interest to the public. Here, we present one such application, the ClimateWizard, that allows users to analyze, visualize and explore climate change maps for specific geographic areas of interest throughout the world (http://ClimateWizard.org). Built on Web 2.0 web-services (SOAP), Google Maps mash-up, and cloud computing technologies, the ClimateWizard analyzes large databases of climate information located on remote servers to create synthesized information and useful products tailored to geographic areas of interest (e.g. maps, graphs, tables, GIS layers). We demonstrate how the ClimateWizard can be used to assess projected changes to temperature and precipitation across all states in the contiguous United States and all countries of the world using statistically downscaled general circulation models from the CMIP3 dataset. We then go on to show how ClimateWizard can be used to analyze changes to other climate related variables, such as moisture stress and water production. Finally, we discuss how this tool can be adapted to develop a wide range of web-based tools that are targeted at informing specific audiences—from scientific research and natural resource management, to K-12 and higher education—about how climate change may affect different aspects of human and natural systems.
NASA Astrophysics Data System (ADS)
Girvetz, E. H.; Zganjar, C.; Raber, G. T.; Hoekstra, J.; Lawler, J. J.; Kareiva, P.
2008-12-01
Now that there is overwhelming evidence of global climate change, scientists, managers and planners (i.e. practitioners) need to assess the potential impacts of climate change on particular ecological systems, within specific geographic areas, and at spatial scales they care about, in order to make better land management, planning, and policy decisions. Unfortunately, this application of climate science to real world decisions and planning has proceeded too slowly because we lack tools for translating cutting-edge climate science and climate-model outputs into something managers and planners can work with at local or regional scales (CCSP 2008). To help increase the accessibility of climate information, we have developed a freely-available, easy-to-use, web-based climate-change analysis toolbox, called ClimateWizard, for assessing how climate has and is projected to change at specific geographic locations throughout the world. The ClimateWizard uses geographic information systems (GIS), web-services (SOAP/XML), statistical analysis platforms (e.g. R- project), and web-based mapping services (e.g. Google Earth/Maps, KML/GML) to provide a variety of different analyses (e.g. trends and departures) and outputs (e.g. maps, graphs, tables, GIS layers). Because ClimateWizard analyzes large climate datasets stored remotely on powerful computers, users of the tool do not need to have fast computers or expensive software, but simply need access to the internet. The analysis results are then provided to users in a Google Maps webpage tailored to the specific climate-change question being asked. The ClimateWizard is not a static product, but rather a framework to be built upon and modified to suit the purposes of specific scientific, management, and policy questions. For example, it can be expanded to include bioclimatic variables (e.g. evapotranspiration) and marine data (e.g. sea surface temperature), as well as improved future climate projections, and climate-change impact analyses involving hydrology, vegetation, wildfire, disease, and food security. By harnessing the power of computer and web- based technologies, the ClimateWizard puts local, regional, and global climate-change analyses in the hands of a wider array of managers, planners, and scientists.
Effectiveness and usability of Scanning Wizard software: a tool for enhancing switch scanning.
Koester, Heidi Horstmann; Simpson, Richard C
2017-11-24
Scanning Wizard software helps scanning users improve the setup of their switch and scanning system. This study evaluated Scanning Wizard's effectiveness and usability. Ten people who use switch scanning and ten practitioners used Scanning Wizard in the initial session. Usability was high, based on survey responses averaging over 4.5 out of 5, and qualitative feedback was very positive. Five switch users were able to complete the multi-week protocol, using settings on their own scanning system that were recommended from the Scanning Wizard session. Using these revised settings, text entry rates improved by an average of 71%, ranging from 29% to 172% improvement. Results suggest that Scanning Wizard is a useful tool for improving the configuration of scanning systems for people who use switch scanning to communicate. Implications for Rehabilitation Some individuals with severe physical impairments use switch scanning for spoken and written communication. Scanning Wizard software helps scanning users improve the setup of their switch and scanning system. This study demonstrated high usability of Scanning Wizard (with 10 switch userpractitioner teams) and increased text entry rate by an average of 71% (for five switch users). Results suggest that Scanning Wizard is a useful tool for improving the configuration of scanning systems for people who use switch scanning to communicate.
ProteoWizard: open source software for rapid proteomics tools development.
Kessner, Darren; Chambers, Matt; Burke, Robert; Agus, David; Mallick, Parag
2008-11-01
The ProteoWizard software project provides a modular and extensible set of open-source, cross-platform tools and libraries. The tools perform proteomics data analyses; the libraries enable rapid tool creation by providing a robust, pluggable development framework that simplifies and unifies data file access, and performs standard proteomics and LCMS dataset computations. The library contains readers and writers of the mzML data format, which has been written using modern C++ techniques and design principles and supports a variety of platforms with native compilers. The software has been specifically released under the Apache v2 license to ensure it can be used in both academic and commercial projects. In addition to the library, we also introduce a rapidly growing set of companion tools whose implementation helps to illustrate the simplicity of developing applications on top of the ProteoWizard library. Cross-platform software that compiles using native compilers (i.e. GCC on Linux, MSVC on Windows and XCode on OSX) is available for download free of charge, at http://proteowizard.sourceforge.net. This website also provides code examples, and documentation. It is our hope the ProteoWizard project will become a standard platform for proteomics development; consequently, code use, contribution and further development are strongly encouraged.
WILDFIRE IGNITION RESISTANCE ESTIMATOR WIZARD SOFTWARE DEVELOPMENT REPORT
DOE Office of Scientific and Technical Information (OSTI.GOV)
Phillips, M.; Robinson, C.; Gupta, N.
2012-10-10
This report describes the development of a software tool, entitled “WildFire Ignition Resistance Estimator Wizard” (WildFIRE Wizard, Version 2.10). This software was developed within the Wildfire Ignition Resistant Home Design (WIRHD) program, sponsored by the U. S. Department of Homeland Security, Science and Technology Directorate, Infrastructure Protection & Disaster Management Division. WildFIRE Wizard is a tool that enables homeowners to take preventive actions that will reduce their home’s vulnerability to wildfire ignition sources (i.e., embers, radiant heat, and direct flame impingement) well in advance of a wildfire event. This report describes the development of the software, its operation, its technicalmore » basis and calculations, and steps taken to verify its performance.« less
Correcting systematic bias and instrument measurement drift with mzRefinery
Gibbons, Bryson C.; Chambers, Matthew C.; Monroe, Matthew E.; ...
2015-08-04
Systematic bias in mass measurement adversely affects data quality and negates the advantages of high precision instruments. We introduce the mzRefinery tool into the ProteoWizard package for calibration of mass spectrometry data files. Using confident peptide spectrum matches, three different calibration methods are explored and the optimal transform function is chosen. After calibration, systematic bias is removed and the mass measurement errors are centered at zero ppm. Because it is part of the ProteoWizard package, mzRefinery can read and write a wide variety of file formats. In conclusion, we report on availability; the mzRefinery tool is part of msConvert, availablemore » with the ProteoWizard open source package at http://proteowizard.sourceforge.net/« less
Terwilliger, Thomas C; Grosse-Kunstleve, Ralf W; Afonine, Pavel V; Moriarty, Nigel W; Zwart, Peter H; Hung, Li Wei; Read, Randy J; Adams, Paul D
2008-01-01
The PHENIX AutoBuild wizard is a highly automated tool for iterative model building, structure refinement and density modification using RESOLVE model building, RESOLVE statistical density modification and phenix.refine structure refinement. Recent advances in the AutoBuild wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model-completion algorithms and automated solvent-molecule picking. Model-completion algorithms in the AutoBuild wizard include loop building, crossovers between chains in different models of a structure and side-chain optimization. The AutoBuild wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 to 3.2 A, resulting in a mean R factor of 0.24 and a mean free R factor of 0.29. The R factor of the final model is dependent on the quality of the starting electron density and is relatively independent of resolution.
Lifelong Learning: Web-Based Information Literacy Module for Merchandisers
ERIC Educational Resources Information Center
Hines, Jean D.; Frey, Diane K.; Swinker, Mary E.
2005-01-01
Universities are strategically positioned to serve as a vital impetus in developing pre-professionals' lifelong learning skills. The development of a Web portal, InfoWIZARD, a tool for integrating information literacy and information technology in problem-based research assignments is described in this article. InfoWIZARD includes 20 modules in…
HyCAW: Hydrological Climate change Adaptation Wizard
NASA Astrophysics Data System (ADS)
Bagli, Stefano; Mazzoli, Paolo; Broccoli, Davide; Luzzi, Valerio
2016-04-01
Changes in temporal and total water availability due to hydrologic and climate change requires an efficient use of resources through the selection of the best adaptation options. HyCAW provides a novel service to users willing or needing to adapt to hydrological change, by turning available scientific information into a user friendly online wizard that lets to: • Evaluate the monthly reduction of water availability induced by climate change; • Select the best adaptation options and visualize the benefits in terms of water balance and cost reduction; • Quantify potential of water saving by improving of water use efficiency. The tool entails knowledge of the intra-annual distribution of available surface and groundwater flows at a site under present and future (climate change) scenarios. This information is extracted from long term scenario simulation by E-HYPE (European hydrological predictions for the environment) model from Swedish Meteorological and Hydrological Institute, to quantify the expected evolution in water availability (e.g. percent reduction of soil infiltration and aquifer recharge; relative seasonal shift of runoff from summer to winter in mountain areas; etc.). Users are requested to provide in input their actual water supply on a monthly basis, both from surface and groundwater sources. Appropriate decision trees and an embedded precompiled database of Water saving technology for different sectors (household, agriculture, industrial, tourisms) lead them to interactively identify good practices for water saving/recycling/harvesting that they may implement in their specific context. Thanks to this service, users are not required to have a detailed understanding neither of data nor of hydrological processes, but may benefit of scientific analysis directly for practical adaptation in a simple and user friendly way, effectively improving their adaptation capacity. The tool is being developed under a collaborative FP7 funded project called SWITCH-ON (EU FP7 project No 603587) coordinated by SMHI (http://water-switch-on.eu/) and online demo is available at www.gecosistema.com/switchon
Terwilliger, Thomas C.; Grosse-Kunstleve, Ralf W.; Afonine, Pavel V.; Moriarty, Nigel W.; Zwart, Peter H.; Hung, Li-Wei; Read, Randy J.; Adams, Paul D.
2008-01-01
The PHENIX AutoBuild wizard is a highly automated tool for iterative model building, structure refinement and density modification using RESOLVE model building, RESOLVE statistical density modification and phenix.refine structure refinement. Recent advances in the AutoBuild wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model-completion algorithms and automated solvent-molecule picking. Model-completion algorithms in the AutoBuild wizard include loop building, crossovers between chains in different models of a structure and side-chain optimization. The AutoBuild wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 to 3.2 Å, resulting in a mean R factor of 0.24 and a mean free R factor of 0.29. The R factor of the final model is dependent on the quality of the starting electron density and is relatively independent of resolution. PMID:18094468
The Fable of the Allegory: The Wizard of Oz in Economics: Comment
ERIC Educational Resources Information Center
Dighe, Ranjit S.
2007-01-01
Although recent research strongly suggests that L. Frank Baum did not write "The Wonderful Wizard of Oz" as a monetary or political allegory, the Populist-parable interpretation of his book remains a tremendous teaching tool in economics classes. The author offers some background on the rise and fall of the Populist interpretation, in recognition…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England
The PHENIX AutoBuild Wizard is a highly automated tool for iterative model-building, structure refinement and density modification using RESOLVE or TEXTAL model-building, RESOLVE statistical density modification, and phenix.refine structure refinement. Recent advances in the AutoBuild Wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model completion algorithms, and automated solvent molecule picking. Model completion algorithms in the AutoBuild Wizard include loop-building, crossovers between chains in different models of a structure, and side-chain optimization. The AutoBuild Wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 {angstrom} tomore » 3.2 {angstrom}, resulting in a mean R-factor of 0.24 and a mean free R factor of 0.29. The R-factor of the final model is dependent on the quality of the starting electron density, and relatively independent of resolution.« less
Chung, Wei-Chun; Chen, Chien-Chih; Ho, Jan-Ming; Lin, Chung-Yen; Hsu, Wen-Lian; Wang, Yu-Chun; Lee, D T; Lai, Feipei; Huang, Chih-Wei; Chang, Yu-Jung
2014-01-01
Explosive growth of next-generation sequencing data has resulted in ultra-large-scale data sets and ensuing computational problems. Cloud computing provides an on-demand and scalable environment for large-scale data analysis. Using a MapReduce framework, data and workload can be distributed via a network to computers in the cloud to substantially reduce computational latency. Hadoop/MapReduce has been successfully adopted in bioinformatics for genome assembly, mapping reads to genomes, and finding single nucleotide polymorphisms. Major cloud providers offer Hadoop cloud services to their users. However, it remains technically challenging to deploy a Hadoop cloud for those who prefer to run MapReduce programs in a cluster without built-in Hadoop/MapReduce. We present CloudDOE, a platform-independent software package implemented in Java. CloudDOE encapsulates technical details behind a user-friendly graphical interface, thus liberating scientists from having to perform complicated operational procedures. Users are guided through the user interface to deploy a Hadoop cloud within in-house computing environments and to run applications specifically targeted for bioinformatics, including CloudBurst, CloudBrush, and CloudRS. One may also use CloudDOE on top of a public cloud. CloudDOE consists of three wizards, i.e., Deploy, Operate, and Extend wizards. Deploy wizard is designed to aid the system administrator to deploy a Hadoop cloud. It installs Java runtime environment version 1.6 and Hadoop version 0.20.203, and initiates the service automatically. Operate wizard allows the user to run a MapReduce application on the dashboard list. To extend the dashboard list, the administrator may install a new MapReduce application using Extend wizard. CloudDOE is a user-friendly tool for deploying a Hadoop cloud. Its smart wizards substantially reduce the complexity and costs of deployment, execution, enhancement, and management. Interested users may collaborate to improve the source code of CloudDOE to further incorporate more MapReduce bioinformatics tools into CloudDOE and support next-generation big data open source tools, e.g., Hadoop BigTop and Spark. CloudDOE is distributed under Apache License 2.0 and is freely available at http://clouddoe.iis.sinica.edu.tw/.
Chung, Wei-Chun; Chen, Chien-Chih; Ho, Jan-Ming; Lin, Chung-Yen; Hsu, Wen-Lian; Wang, Yu-Chun; Lee, D. T.; Lai, Feipei; Huang, Chih-Wei; Chang, Yu-Jung
2014-01-01
Background Explosive growth of next-generation sequencing data has resulted in ultra-large-scale data sets and ensuing computational problems. Cloud computing provides an on-demand and scalable environment for large-scale data analysis. Using a MapReduce framework, data and workload can be distributed via a network to computers in the cloud to substantially reduce computational latency. Hadoop/MapReduce has been successfully adopted in bioinformatics for genome assembly, mapping reads to genomes, and finding single nucleotide polymorphisms. Major cloud providers offer Hadoop cloud services to their users. However, it remains technically challenging to deploy a Hadoop cloud for those who prefer to run MapReduce programs in a cluster without built-in Hadoop/MapReduce. Results We present CloudDOE, a platform-independent software package implemented in Java. CloudDOE encapsulates technical details behind a user-friendly graphical interface, thus liberating scientists from having to perform complicated operational procedures. Users are guided through the user interface to deploy a Hadoop cloud within in-house computing environments and to run applications specifically targeted for bioinformatics, including CloudBurst, CloudBrush, and CloudRS. One may also use CloudDOE on top of a public cloud. CloudDOE consists of three wizards, i.e., Deploy, Operate, and Extend wizards. Deploy wizard is designed to aid the system administrator to deploy a Hadoop cloud. It installs Java runtime environment version 1.6 and Hadoop version 0.20.203, and initiates the service automatically. Operate wizard allows the user to run a MapReduce application on the dashboard list. To extend the dashboard list, the administrator may install a new MapReduce application using Extend wizard. Conclusions CloudDOE is a user-friendly tool for deploying a Hadoop cloud. Its smart wizards substantially reduce the complexity and costs of deployment, execution, enhancement, and management. Interested users may collaborate to improve the source code of CloudDOE to further incorporate more MapReduce bioinformatics tools into CloudDOE and support next-generation big data open source tools, e.g., Hadoop BigTop and Spark. Availability: CloudDOE is distributed under Apache License 2.0 and is freely available at http://clouddoe.iis.sinica.edu.tw/. PMID:24897343
French, William R; Zimmerman, Lisa J; Schilling, Birgit; Gibson, Bradford W; Miller, Christine A; Townsend, R Reid; Sherrod, Stacy D; Goodwin, Cody R; McLean, John A; Tabb, David L
2015-02-06
We report the implementation of high-quality signal processing algorithms into ProteoWizard, an efficient, open-source software package designed for analyzing proteomics tandem mass spectrometry data. Specifically, a new wavelet-based peak-picker (CantWaiT) and a precursor charge determination algorithm (Turbocharger) have been implemented. These additions into ProteoWizard provide universal tools that are independent of vendor platform for tandem mass spectrometry analyses and have particular utility for intralaboratory studies requiring the advantages of different platforms convergent on a particular workflow or for interlaboratory investigations spanning multiple platforms. We compared results from these tools to those obtained using vendor and commercial software, finding that in all cases our algorithms resulted in a comparable number of identified peptides for simple and complex samples measured on Waters, Agilent, and AB SCIEX quadrupole time-of-flight and Thermo Q-Exactive mass spectrometers. The mass accuracy of matched precursor ions also compared favorably with vendor and commercial tools. Additionally, typical analysis runtimes (∼1-100 ms per MS/MS spectrum) were short enough to enable the practical use of these high-quality signal processing tools for large clinical and research data sets.
ERIC Educational Resources Information Center
Mitak, Kirsten Nora
2012-01-01
The purpose of this study was to determine the feasibility of Piano Wizard(TM) as a viable technological and instructional tool for older adults. Piano Wizard's applicability for seniors was determined by participants' musical skill development, perceptions of personal fulfillment, attitudes toward music learning, and opinions about the…
Clean Air Markets - Facility Attributes and Contacts Query Wizard
The Facility Attributes and Contacts Query Wizard is part of a suite of Clean Air Markets-related tools that are accessible at http://camddataandmaps.epa.gov/gdm/index.cfm. The Facility Attributes and Contact module gives the user access to current and historical facility, owner, and representative data using custom queries, via the Facility Attributes Query Wizard, or Quick Reports. In addition, data regarding EPA, State, and local agency staff are also available. The Query Wizard can be used to search for data about a facility or facilities by identifying characteristics such as associated programs, owners, representatives, locations, and unit characteristics, facility inventories, and classifications.EPA's Clean Air Markets Division (CAMD) includes several market-based regulatory programs designed to improve air quality and ecosystems. The most well-known of these programs are EPA's Acid Rain Program and the NOx Programs, which reduce emissions of sulfur dioxide (SO2) and nitrogen oxides (NOx)-compounds that adversely affect air quality, the environment, and public health. CAMD also plays an integral role in the development and implementation of the Clean Air Interstate Rule (CAIR).
Toolkit of Available EPA Green Infrastructure Modeling ...
This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementation decisions. It can also be used for low impact development design competitions. Models and tools included: Green Infrastructure Wizard (GIWiz), Watershed Management Optimization Support Tool (WMOST), Visualizing Ecosystem Land Management Assessments (VELMA) Model, Storm Water Management Model (SWMM), and the National Stormwater Calculator (SWC). This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementation decisions. It can also be used for low impact development design competitions. Models and tools included: Green Infrastructure Wizard (GIWiz), Watershed Management Optimization Support Tool (WMOST), Visualizing Ecosystem Land Management Assessments (VELMA) Model, Storm Water Management Model (SWMM), and the National Stormwater Calculator (SWC).
Sumbalova, Lenka; Stourac, Jan; Martinek, Tomas; Bednar, David; Damborsky, Jiri
2018-05-23
HotSpot Wizard is a web server used for the automated identification of hotspots in semi-rational protein design to give improved protein stability, catalytic activity, substrate specificity and enantioselectivity. Since there are three orders of magnitude fewer protein structures than sequences in bioinformatic databases, the major limitation to the usability of previous versions was the requirement for the protein structure to be a compulsory input for the calculation. HotSpot Wizard 3.0 now accepts the protein sequence as input data. The protein structure for the query sequence is obtained either from eight repositories of homology models or is modeled using Modeller and I-Tasser. The quality of the models is then evaluated using three quality assessment tools-WHAT_CHECK, PROCHECK and MolProbity. During follow-up analyses, the system automatically warns the users whenever they attempt to redesign poorly predicted parts of their homology models. The second main limitation of HotSpot Wizard's predictions is that it identifies suitable positions for mutagenesis, but does not provide any reliable advice on particular substitutions. A new module for the estimation of thermodynamic stabilities using the Rosetta and FoldX suites has been introduced which prevents destabilizing mutations among pre-selected variants entering experimental testing. HotSpot Wizard is freely available at http://loschmidt.chemi.muni.cz/hotspotwizard.
Clean Air Markets - Compliance Query Wizard
The Compliance Query Wizard is part of a suite of Clean Air Markets-related tools that are accessible at http://ampd.epa.gov/ampd/. The Compliance module provides final compliance results. Using the Compliance Query Wizard, the user can find compliance information associated with specific programs, facilities, states or time frames. Quick Reports and Prepackaged Datasets are also available for data that are commonly requested. Final compliance results are available for all years since 1995 for the Acid Rain Program and for the various NOx trading programs EPA has operated since 1999.EPA's Clean Air Markets Division (CAMD) includes several market-based regulatory programs designed to improve air quality and ecosystems. The most well-known of these programs are EPA's Acid Rain Program and the NOx Programs, which reduce emissions of sulfur dioxide (SO2) and nitrogen oxides (NOx)-compounds that adversely affect air quality, the environment, and public health. CAMD also plays an integral role in the development and implementation of the Clean Air Interstate Rule (CAIR).
Clean Air Markets - Allowances Query Wizard
The Allowances Query Wizard is part of a suite of Clean Air Markets-related tools that are accessible at http://camddataandmaps.epa.gov/gdm/index.cfm. The Allowances module allows the user to view allowance data associated with EPA's emissions trading programs. Allowance data can be specified and organized using the Allowance Query Wizard to find allowances information associated with specific accounts, companies, transactions, programs, facilities, representatives, allowance type, or by date. Quick Reports and Prepackaged Datasets are also available for data that are commonly requested.EPA's Clean Air Markets Division (CAMD) includes several market-based regulatory programs designed to improve air quality and ecosystems. The most well-known of these programs are EPA's Acid Rain Program and the NOx Programs, which reduce emissions of sulfur dioxide (SO2) and nitrogen oxides (NOx)-compounds that adversely affect air quality, the environment, and public health. CAMD also plays an integral role in the development and implementation of the Clean Air Interstate Rule (CAIR).
WindWizard: A New Tool for Fire Management Decision Support
Bret W. Butler; Mark Finney; Larry Bradshaw; Jason Forthofer; Chuck McHugh; Rick Stratton; Dan Jimenez
2006-01-01
A new software tool has been developed to simulate surface wind speed and direction at the 100m to 300 m scale. This tool is useful when trying to estimate fire behavior in mountainous terrain. It is based on widely used computational fluid dynamics technology and has been tested against measured wind flows. In recent years it has been used to support fire management...
Software wizards to adjust keyboard and mouse settings for people with physical impairments
Koester, Heidi; Simpson, Richard; Mankowski, Jennifer
2013-01-01
Context/objective This study describes research behind two software wizards that help users with physical impairments adjust their keyboard and mouse settings to meet their specific needs. The Keyboard Wizard and Pointing Wizard programs help ensure that keyboard and pointing devices are properly configured for an individual, and reconfigured as the user's needs change. We summarize four effectiveness studies and six usability studies. Methods Studies involved participants whose physical impairments affect their ability to use a keyboard and mouse. Effectiveness studies used an A-B-A design, with condition A using default Windows settings and condition B using wizard-recommended settings. Primary data were performance metrics for text entry and target acquisition. Usability studies asked participants to run through each wizard, with no outside guidance. Primary data were completion time, errors made, and user feedback. Results The wizards were effective at recommending new settings for users who needed them and not recommending them for users who did not. Sensitivity for StickyKeys, pointer speed, and object size algorithms was 100%. Specificity for StickyKeys and pointer speed was over 80%, and 50% for object size. For those who needed settings changes, the recommendations improved performance, with speed increases ranging from 9 to 59%. Accuracy improved significantly with the wizard recommendations, eliminating up to 100% of errors. Users ran through the current wizard software in less than 6 minutes. Ease-of-use rating averaged over 4.5 on a scale of 1 to 5. Conclusion The wizards are a simple yet effective way of adjusting Windows to accommodate physical impairments. PMID:23820146
PatternCoder: A Programming Support Tool for Learning Binary Class Associations and Design Patterns
ERIC Educational Resources Information Center
Paterson, J. H.; Cheng, K. F.; Haddow, J.
2009-01-01
PatternCoder is a software tool to aid student understanding of class associations. It has a wizard-based interface which allows students to select an appropriate binary class association or design pattern for a given problem. Java code is then generated which allows students to explore the way in which the class associations are implemented in a…
2015-01-01
We report the implementation of high-quality signal processing algorithms into ProteoWizard, an efficient, open-source software package designed for analyzing proteomics tandem mass spectrometry data. Specifically, a new wavelet-based peak-picker (CantWaiT) and a precursor charge determination algorithm (Turbocharger) have been implemented. These additions into ProteoWizard provide universal tools that are independent of vendor platform for tandem mass spectrometry analyses and have particular utility for intralaboratory studies requiring the advantages of different platforms convergent on a particular workflow or for interlaboratory investigations spanning multiple platforms. We compared results from these tools to those obtained using vendor and commercial software, finding that in all cases our algorithms resulted in a comparable number of identified peptides for simple and complex samples measured on Waters, Agilent, and AB SCIEX quadrupole time-of-flight and Thermo Q-Exactive mass spectrometers. The mass accuracy of matched precursor ions also compared favorably with vendor and commercial tools. Additionally, typical analysis runtimes (∼1–100 ms per MS/MS spectrum) were short enough to enable the practical use of these high-quality signal processing tools for large clinical and research data sets. PMID:25411686
Four Tools for Science Fair Success
ERIC Educational Resources Information Center
Smith, Sherry Weaver; Messmer, Barbara; Storm, Bill; Weaver, Cheryl
2007-01-01
These teacher-tested ideas will guide students in creating true inquiry-based projects. Two of the ideas, the Topic Selection Wizard and Science Project Timeline, are appropriate for all science fair programs, even new ones. For existing programs, the Black Box of Project Improvement and After-School Project Clinic improve project quality and…
Fuel Supply Defaults for Regional Fuels and Fuel Wizard Tool in MOVES201X
The fuel supply report documents the data and methodology used to derive the default gasoline, diesel and fuel-blend fuel properties, and their respective fuel market share in MOVES. The default market share of the individual fuels varies by calendar year, seasons, and several do...
ERIC Educational Resources Information Center
English, Nancy; Hanks, Ruth
2003-01-01
Considers the roles of teachers and school librarians in comparison to J. K. Rowling's muggles and wizards in the Harry Potter books. Presents a technology assessment tool that asks teachers what skills they would like the library to provide to support curriculum, including reference, technology, literacy, and collaborative learning, and provides…
! Gardening and plant-based learning open a door to discovery of the living world. It stimulates even as it achieve learning goals in ways that are recommended by the National Science Standards and most state and Learning Inspiring Stories A Teacher's Perspective Gardening Tools Seasonal Considerations Special Needs
Persuasive Conversational Agent with Persuasion Tactics
NASA Astrophysics Data System (ADS)
Narita, Tatsuya; Kitamura, Yasuhiko
Persuasive conversational agents persuade people to change their attitudes or behaviors through conversation, and are expected to be applied as virtual sales clerks in e-shopping sites. As an approach to create such an agent, we have developed a learning agent with the Wizard of Oz method in which a person called Wizard talks to the user pretending to be the agent. The agent observes the conversations between the Wizard and the user, and learns how to persuade people. In this method, the Wizard has to reply to most of the user's inputs at the beginning, but the burden gradually falls because the agent learns how to reply as the conversation model grows.
Crustal Structure and Seismicity along the Central Alpine Fault: Results from the WIZARD Array
NASA Astrophysics Data System (ADS)
Thurber, C. H.; Roecker, S. W.; Townend, J.; Bannister, S. C.; Guo, B.; Rawles, C.; Feenstra, J. P.
2015-12-01
In 2012 and 2013, the University of Wisconsin-Madison (UW), Rensselaer Polytechnic Institute (RPI), and Victoria University of Wellington (VUW) operated a 20-station temporary seismic array along the obliquely slipping Alpine Fault on the South Island of New Zealand. The stations of the array, nicknamed WIZARD, were deployed mainly north and east of the Deep Fault Drilling Program (DFDP) borehole site in Whataroa Valley (DFPD-2). WIZARD complemented the station distribution of the Southern Alps Microearthquake Borehole Array (SAMBA) operated by VUW, situated south and west of DFDP-2. Three additional temporary stations were deployed to the north and east of WIZARD by GNS Science, and four GeoNet permanent stations fell within the footprint of our study area. The main goals of the WIZARD project are to image the crustal structure in the region surrounding the DFDP-2 site, relocate earthquakes as precisely and accurately as possible, and determine focal mechanisms for the larger earthquakes, in order to characterize the Alpine Fault and its geometry at depth. Some previous studies had identified the area covered by WIZARD to be largely aseismic, but we have in fact located roughly 500 earthquakes underneath WIZARD. A new automatic S-wave picker proved to be very effective for rapidly increasing the size of our S-wave arrival dataset. Our tomographic inversion results show that significant velocity contrasts in both Vp and Vs (hanging wall fast) appear to delineate the Alpine Fault at depth in most of our study region, dipping typically about 60 degrees SE, and some focal mechanisms show oblique slip. However, we are not able to identify earthquakes that are actually occurring on the Alpine Fault with certainty based only on our location results.
Ignizio, Drew A.; O'Donnell, Michael S.; Talbert, Colin B.
2014-01-01
Creating compliant metadata for scientific data products is mandated for all federal Geographic Information Systems professionals and is a best practice for members of the geospatial data community. However, the complexity of the The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata, the limited availability of easy-to-use tools, and recent changes in the ESRI software environment continue to make metadata creation a challenge. Staff at the U.S. Geological Survey Fort Collins Science Center have developed a Python toolbox for ESRI ArcDesktop to facilitate a semi-automated workflow to create and update metadata records in ESRI’s 10.x software. The U.S. Geological Survey Metadata Wizard tool automatically populates several metadata elements: the spatial reference, spatial extent, geospatial presentation format, vector feature count or raster column/row count, native system/processing environment, and the metadata creation date. Once the software auto-populates these elements, users can easily add attribute definitions and other relevant information in a simple Graphical User Interface. The tool, which offers a simple design free of esoteric metadata language, has the potential to save many government and non-government organizations a significant amount of time and costs by facilitating the development of The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata compliant metadata for ESRI software users. A working version of the tool is now available for ESRI ArcDesktop, version 10.0, 10.1, and 10.2 (downloadable at http:/www.sciencebase.gov/metadatawizard).
NASA Astrophysics Data System (ADS)
Golden, R. L.
1990-03-01
The WiZard experiment will utilize the Astromag magnet facility onboard Space Station Freedom to explore the composition and energy spectra of low-Z cosmic rays. Particular emphasis will be placed on a search for primordial antimatter and measurement of antiproton and positron fluxes at energies up to 400 GeV. This paper presents the scientific goals and rationale; the experimental method is described and the present status of the WiZard project is summarized.
William Elliot; Ina Sue Miller; Brandon Glaza
2007-01-01
A limited erosion potential analysis was carried out on the 50,000 acre School Fire. Three WEPP interfaces were used for the analysis, a GIS wizard, an online interface and a windows interface. Ten watersheds within the fire area were modeled with the GeoWEPP tool (a geo-spatial interface for WEPP, Water Erosion Predication Project). The watersheds covered 18,823 acres...
Multiple-Tumor Analysis with MS_Combo Model (Use with BMDS Wizard)
Exercises and procedures on setting up and using the MS_Combo Wizard. The MS_Combo model provides BMD and BMDL estimates for the risk of getting one or more tumors for any combination of tumors observed in a single bioassay.
ERIC Educational Resources Information Center
Seil, Daryle
1991-01-01
A play written for young audiences about recycling and environmental quality is provided. The characters are a young forest dragon, a man, a wizard, and a narrator and are played by puppets. Directions for making the costumes, the wizard's castle, and the dragon's cave are included. (KR)
Morphology, volcanism, and mass wasting in Crater Lake, Oregon
Bacon, C.R.; Gardner, J.V.; Mayer, L.A.; Buktenica, M.W.; Dartnell, P.; Ramsey, D.W.; Robinson, J.E.
2002-01-01
Crater Lake was surveyed nearly to its shoreline by high-resolution multibeam echo sounding in order to define its geologic history and provide an accurate base map for research and monitoring surveys. The bathymetry and acoustic backscatter reveal the character of landforms and lead to a chronology for the concurrent filling of the lake and volcanism within the ca. 7700 calibrated yr B.P. caldera. The andesitic Wizard Island and central-plattform volcanoes are composed of sequences of lava deltas that record former lake levels and demonstrate simultaneous activity at the two vents. Wizard Island eruptions ceased when the lake was ~80 m lower than at present. Lava streams from prominent channels on the surface of the central platform descended to feed extensive subaqueous flow fields on the caldera floor. The Wizard Island and central-platform volcanoes, andesitic Merriam Cone, and a newly discovered probable lava flow on the eastern floor of the lake apparently date from within a few hundred years of caldera collapse, whereas a small rhydacite dome was emplaced on the flank of Wizard Island at ca. 4800 cal. yr B.P. Bedrock outcrops on the submerged caldera walls are shown in detail and, in some cases, can be correlated with exposed geologic units of Mount Mazama. Fragmental debris making up the walls elsewhere consists of narrow talus cones forming a dendritic pattern that leads to fewer, wider ridges downslope. Hummocky topography and scattered blocks up to ~280 m long below many of the embayments in the caldera wall mark debris-avalanche deposits that probably formed in single events and commonly are affected by secondary failures. The flat-floored, deep basins contain relatively fine-grained sediment transported from the debris aprons by sheet-flow turbidity currents. Crater Lake apparently filled rapidly (ca. 400-750 yr) until reaching a permeable layer above glaciated lava identified by the new survey in the northeast caldera wall at ~1845 m elevation. Thereafter, a gradual, climatically modulated rise in lake level to the present 1883 m produced a series of beaches culminating in a modern wave-cut platform, commonly ~40 m wide, where suitable material is present. The new survey reveals landforms that result from intermediate-composition volcanism in rising water, delineates mass wasting and sediment transport into a restricted basin, and yields a more accurate postcaldera history leading to improved assessment of volcanic hazards.
Wizarding in the Classroom: Teaching Harry Potter and Politics
ERIC Educational Resources Information Center
Deets, Stephen
2009-01-01
This article describes teaching a course called Harry Potter and Politics. Focusing on aspects of political culture, the class tackled themes of identity, institutional behavior, and globalization. Teaching Harry Potter has several benefits. Students are both familiar with the wizarding world and yet have enough distance to examine it…
Creating Tech Wizards: Tech-Savvy Students Help Teachers Transform Practice
ERIC Educational Resources Information Center
Breiner, Beth
2009-01-01
In eastern Pennsylvania, middle schoolers are teaching the teachers how to use technology effectively in the classroom. This article describes the Technology Wizards program which was developed by the Carbon Lehigh Intermediate Unit's Department of Instructional Innovation. It is a radical departure from traditional educational professional…
Breaking the Spell of Differentiated Instruction through Equity Pedagogy and Teacher Community
ERIC Educational Resources Information Center
Bannister, Nicole A.
2016-01-01
Koomen's study of Wizard--an articulate, inquisitive, energetic seventh grader with a penchant for science--adversely juxtaposed his learning-centered identity with classroom experiences that marginalized him. I claim in my response that critical commentary about Wizard's race is germane to any analysis of his experiences, as participation in an…
School-University Partnership: The Wizard, the Warrior, and the Wagoner
ERIC Educational Resources Information Center
Castelli, Darla; Centeio, Erin; Boehrnsen, Helen; Barclay, Doug; Bundy, Craig
2012-01-01
There are many key players in a functional school-university partnership. The purpose of this article is to provide insight into the establishment of roles within a school-university partnership charged with creating educational reform. Specific details are provided about three key change agents (the Wizard, the Warrior, and the Wagoner) who…
Code of Federal Regulations, 2010 CFR
2010-10-01
... ASSIST websites: (1) ASSIST (http://assist.daps.dla.mil); (2) Quick Search (http://assist.daps.dla.mil/quicksearch); (3) ASSISTdocs.com (http://assistdocs.com). (b) Documents not available from ASSIST may be... Wizard (http://assist.daps.dla.mil/wizard); (2) Phoning the DoDSSP Customer Service Desk (215) 697-2179...
Code of Federal Regulations, 2011 CFR
2011-10-01
... ASSIST websites: (1) ASSIST (http://assist.daps.dla.mil); (2) Quick Search (http://assist.daps.dla.mil/quicksearch); (3) ASSISTdocs.com (http://assistdocs.com). (b) Documents not available from ASSIST may be... Wizard (http://assist.daps.dla.mil/wizard); (2) Phoning the DoDSSP Customer Service Desk (215) 697-2179...
Code of Federal Regulations, 2014 CFR
2014-10-01
... ASSIST websites: (1) ASSIST (https://assist.dla.mil/online/start/; (2) Quick Search (http://quicksearch.dla.mil/; (3) ASSISTdocs.com (http://assistdocs.com). (b) Documents not available from ASSIST may be... Wizard (https://assist.dla.mil/wizard/index.cfm); (2) Phoning the DoDSSP Customer Service Desk (215) 697...
Code of Federal Regulations, 2013 CFR
2013-10-01
... ASSIST websites: (1) ASSIST (http://assist.daps.dla.mil); (2) Quick Search (http://assist.daps.dla.mil/quicksearch); (3) ASSISTdocs.com (http://assistdocs.com). (b) Documents not available from ASSIST may be... Wizard (http://assist.daps.dla.mil/wizard); (2) Phoning the DoDSSP Customer Service Desk (215) 697-2179...
Code of Federal Regulations, 2012 CFR
2012-10-01
... ASSIST websites: (1) ASSIST (http://assist.daps.dla.mil); (2) Quick Search (http://assist.daps.dla.mil/quicksearch); (3) ASSISTdocs.com (http://assistdocs.com). (b) Documents not available from ASSIST may be... Wizard (http://assist.daps.dla.mil/wizard); (2) Phoning the DoDSSP Customer Service Desk (215) 697-2179...
ERIC Educational Resources Information Center
Lewis, Kimberly A.
2011-01-01
The purpose of this study was to examine the efficacy of the Maryland Online Individualized Education Program Goal Wizard on writing standards based annual goals. Specifically, 100 novice special education teachers form a large urban school system in Maryland were randomly assigned to one of two groups. The experimental group received one…
Wizard CD Plus and ProTaper Universal: analysis of apical transportation using new software
GIANNASTASIO, Daiana; da ROSA, Ricardo Abreu; PERES, Bernardo Urbanetto; BARRETO, Mirela Sangoi; DOTTO, Gustavo Nogara; KUGA, Milton Carlos; PEREIRA, Jefferson Ricardo; SÓ, Marcus Vinícius Reis
2013-01-01
Objective This study has two aims: 1) to evaluate the apical transportation of the Wizard CD Plus and ProTaper Universal after preparation of simulated root canals; 2) to compare, with Adobe Photoshop, the ability of a new software (Regeemy) in superposing and subtracting images. Material and Methods Twenty five simulated root canals in acrylic-resin blocks (with 20º curvature) underwent cone beam computed tomography before and after preparation with the rotary systems (70 kVp, 4 mA, 10 s and with the 8×8 cm FoV selection). Canals were prepared up to F2 (ProTaper) and 24.04 (Wizard CD Plus) instruments and the working length was established to 15 mm. The tomographic images were imported into iCAT Vision software and CorelDraw for standardization. The superposition of pre- and post-instrumentation images from both systems was performed using Regeemy and Adobe Photoshop. The apical transportation was measured in millimetres using Image J. Five acrylic resin blocks were used to validate the superposition achieved by the software. Student's t-test for independent samples was used to evaluate the apical transportation achieved by the rotary systems using each software individually. Student's t-test for paired samples was used to compare the ability of each software in superposing and subtracting images from one rotary system per time. Results The values obtained with Regeemy and Adobe Photoshop were similar to rotary systems (P>0.05). ProTaper Universal and Wizard CD Plus promoted similar apical transportation regardless of the software used for image's superposition and subtraction (P>0.05). Conclusion Wizard CD Plus and ProTaper Universal promoted little apical transportation. Regeemy consists in a feasible software to superpose and subtract images and appears to be an alternative to Adobe Photoshop. PMID:24212994
Wizard CD Plus and ProTaper Universal: analysis of apical transportation using new software.
Giannastasio, Daiana; Rosa, Ricardo Abreu da; Peres, Bernardo Urbanetto; Barreto, Mirela Sangoi; Dotto, Gustavo Nogara; Kuga, Milton Carlos; Pereira, Jefferson Ricardo; Só, Marcus Vinícius Reis
2013-01-01
This study has two aims: 1) to evaluate the apical transportation of the Wizard CD Plus and ProTaper Universal after preparation of simulated root canals; 2) to compare, with Adobe Photoshop, the ability of a new software (Regeemy) in superposing and subtracting images. Twenty five simulated root canals in acrylic-resin blocks (with 20º curvature) underwent cone beam computed tomography before and after preparation with the rotary systems (70 kVp, 4 mA, 10 s and with the 8×8 cm FoV selection). Canals were prepared up to F2 (ProTaper) and 24.04 (Wizard CD Plus) instruments and the working length was established to 15 mm. The tomographic images were imported into iCAT Vision software and CorelDraw for standardization. The superposition of pre- and post-instrumentation images from both systems was performed using Regeemy and Adobe Photoshop. The apical transportation was measured in millimetres using Image J. Five acrylic resin blocks were used to validate the superposition achieved by the software. Student's t-test for independent samples was used to evaluate the apical transportation achieved by the rotary systems using each software individually. Student's t-test for paired samples was used to compare the ability of each software in superposing and subtracting images from one rotary system per time. The values obtained with Regeemy and Adobe Photoshop were similar to rotary systems (P>0.05). ProTaper Universal and Wizard CD Plus promoted similar apical transportation regardless of the software used for image's superposition and subtraction (P>0.05). Wizard CD Plus and ProTaper Universal promoted little apical transportation. Regeemy consists in a feasible software to superpose and subtract images and appears to be an alternative to Adobe Photoshop.
Autonomous Parameter Adjustment for SSVEP-Based BCIs with a Novel BCI Wizard.
Gembler, Felix; Stawicki, Piotr; Volosyak, Ivan
2015-01-01
Brain-Computer Interfaces (BCIs) transfer human brain activities into computer commands and enable a communication channel without requiring movement. Among other BCI approaches, steady-state visual evoked potential (SSVEP)-based BCIs have the potential to become accurate, assistive technologies for persons with severe disabilities. Those systems require customization of different kinds of parameters (e.g., stimulation frequencies). Calibration usually requires selecting predefined parameters by experienced/trained personnel, though in real-life scenarios an interface allowing people with no experience in programming to set up the BCI would be desirable. Another occurring problem regarding BCI performance is BCI illiteracy (also called BCI deficiency). Many articles reported that BCI control could not be achieved by a non-negligible number of users. In order to bypass those problems we developed a SSVEP-BCI wizard, a system that automatically determines user-dependent key-parameters to customize SSVEP-based BCI systems. This wizard was tested and evaluated with 61 healthy subjects. All subjects were asked to spell the phrase "RHINE WAAL UNIVERSITY" with a spelling application after key parameters were determined by the wizard. Results show that all subjects were able to control the spelling application. A mean (SD) accuracy of 97.14 (3.73)% was reached (all subjects reached an accuracy above 85% and 25 subjects even reached 100% accuracy).
Becoming a vampire without being bitten: the narrative collective-assimilation hypothesis.
Gabriel, Shira; Young, Ariana F
2011-08-01
We propose the narrative collective-assimilation hypothesis--that experiencing a narrative leads one to psychologically become a part of the collective described within the narrative. In a test of this hypothesis, participants read passages from either a book about wizards (from the Harry Potter series) or a book about vampires (from the Twilight series). Both implicit and explicit measures revealed that participants who read about wizards psychologically became wizards, whereas those who read about vampires psychologically became vampires. The results also suggested that narrative collective assimilation is psychologically meaningful and relates to the basic human need for connection. Specifically, the tendency to fulfill belongingness needs through group affiliation moderated the extent to which narrative collective assimilation occurred, and narrative collective assimilation led to increases in life satisfaction and positive mood, two primary outcomes of belonging. The implications for the importance of narratives, the need to belong to groups, and social surrogacy are discussed.
Coi-wiz: An interactive computer wizard for analyzing cardiac optical signals.
Yuan, Xiaojing; Uyanik, Ilyas; Situ, Ning; Xi, Yutao; Cheng, Jie
2009-01-01
A number of revolutionary techniques have been developed for cardiac electrophysiology research to better study the various arrhythmia mechanisms that can enhance ablating strategies for cardiac arrhythmias. Once the three-dimensional high resolution cardiac optical imaging data is acquired, it is time consuming to manually go through them and try to identify the patterns associated with various arrhythmia symptoms. In this paper, we present an interactive computer wizard that helps cardiac electrophysiology researchers to visualize and analyze the high resolution cardiac optical imaging data. The wizard provides a file interface that accommodates different file formats. A series of analysis algorithms output waveforms, activation and action potential maps after spatial and temporal filtering, velocity field and heterogeneity measure. The interactive GUI allows the researcher to identify the region of interest in both the spatial and temporal domain, thus enabling them to study different heart chamber at their choice.
Inclusive science education: learning from Wizard
NASA Astrophysics Data System (ADS)
Koomen, Michele Hollingsworth
2016-06-01
This case study reports on a student with special education needs in an inclusive seventh grade life science classroom using a framework of disability studies in education. Classroom data collected over 13 weeks consisted of qualitative (student and classroom observations, interviews, student work samples and video-taped classroom teaching and learning record using CETP-COP) methods. Three key findings emerged in the analysis and synthesis of the data: (1) The learning experiences in science for Wizard are marked by a dichotomy straddled between autonomy ["Sometimes I do" (get it)] and dependence ["Sometimes I don't (get it)], (2) the process of learning is fragmented for Wizard because it is underscored by an emerging disciplinary literacy, (3) the nature of the inclusion is fragile and functional. Implications for classroom practices that support students with learning disabilities include focusing on student strengths, intentional use of disciplinary literacy strategies, and opportunities for eliciting student voice in decision making.
Rosetta: Ensuring the Preservation and Usability of ASCII-based Data into the Future
NASA Astrophysics Data System (ADS)
Ramamurthy, M. K.; Arms, S. C.
2015-12-01
Field data obtained from dataloggers often take the form of comma separated value (CSV) ASCII text files. While ASCII based data formats have positive aspects, such as the ease of accessing the data from disk and the wide variety of tools available for data analysis, there are some drawbacks, especially when viewing the situation through the lens of data interoperability and stewardship. The Unidata data translation tool, Rosetta, is a web-based service that provides an easy, wizard-based interface for data collectors to transform their datalogger generated ASCII output into Climate and Forecast (CF) compliant netCDF files following the CF-1.6 discrete sampling geometries. These files are complete with metadata describing what data are contained in the file, the instruments used to collect the data, and other critical information that otherwise may be lost in one of many README files. The choice of the machine readable netCDF data format and data model, coupled with the CF conventions, ensures long-term preservation and interoperability, and that future users will have enough information to responsibly use the data. However, with the understanding that the observational community appreciates the ease of use of ASCII files, methods for transforming the netCDF back into a CSV or spreadsheet format are also built-in. One benefit of translating ASCII data into a machine readable format that follows open community-driven standards is that they are instantly able to take advantage of data services provided by the many open-source data server tools, such as the THREDDS Data Server (TDS). While Rosetta is currently a stand-alone service, this talk will also highlight efforts to couple Rosetta with the TDS, thus allowing self-publishing of thoroughly documented datasets by the data producers themselves.
The WiZard Collaboration cosmic ray muon measurements in the atmosphere
NASA Astrophysics Data System (ADS)
Circella, M.; Ambriola, M. L.; Barbiellini, G.; Bartalucci, S.; Bellotti, R.; Bergström, D.; Bidoli, V.; Boezio, M.; Bravar, U.; Cafagna, F.; Carlson, P.; Casolino, M.; Ciacio, F.; Circella, M.; de Marzo, C. N.; de Pascale, M. P.; Finetti, N.; Francke, T.; Grinstein, S.; Hof, M.; Khalchukov, F.; Kremer, J.; Menn, W.; Mitchell, J. W.; Morselli, A.; Ormes, J. F.; Papini, P.; Piccardi, S.; Picozza, P.; Ricci, M.; Schiavon, P.; Simon, M.; Sparvoli, R.; Spillantini, P.; Stephens, S. A.; Stochaj, S. J.; Streitmatter, R. E.; Suffert, M.; Vacchi, A.; Zampa, N.
Balloon-borne experiments allow cosmic ray measurements to be performed over large ranges of atmospheric depths. The WiZard Collaboration is involved in a long-range investigation of the cosmic ray muon fluxes in the atmosphere. In this paper, we will discuss the relevance of such measurements to the atmospheric neutrino calculations and will review the results reported by the Collaboration, with particular emphasis on those coming from the latest flight CAPRICE98
2010-01-01
Background The modular approach to analysis of genetically modified organisms (GMOs) relies on the independence of the modules combined (i.e. DNA extraction and GM quantification). The validity of this assumption has to be proved on the basis of specific performance criteria. Results An experiment was conducted using, as a reference, the validated quantitative real-time polymerase chain reaction (PCR) module for detection of glyphosate-tolerant Roundup Ready® GM soybean (RRS). Different DNA extraction modules (CTAB, Wizard and Dellaporta), were used to extract DNA from different food/feed matrices (feed, biscuit and certified reference material [CRM 1%]) containing the target of the real-time PCR module used for validation. Purity and structural integrity (absence of inhibition) were used as basic criteria that a DNA extraction module must satisfy in order to provide suitable template DNA for quantitative real-time (RT) PCR-based GMO analysis. When performance criteria were applied (removal of non-compliant DNA extracts), the independence of GMO quantification from the extraction method and matrix was statistically proved, except in the case of Wizard applied to biscuit. A fuzzy logic-based procedure also confirmed the relatively poor performance of the Wizard/biscuit combination. Conclusions For RRS, this study recognises that modularity can be generally accepted, with the limitation of avoiding combining highly processed material (i.e. biscuit) with a magnetic-beads system (i.e. Wizard). PMID:20687918
Defense AT&L (Volume 36, Number 1, January-February 2007)
2007-02-01
tives. Here’s how four people might describe the movie The Wizard of Oz: 1. The young child will tell the story, listing the sequence of events (not...necessarily in the right order). 2. The emotional child will explain that the movie was very scary with witches and wizards and flying mon- keys. 3. The...adolescent will explain the special effects in the movie . 4. The intellectual will identify the themes of the movie . • Different people on your team
Adherence to Insulin Pump Behaviors in Young Children With Type 1 Diabetes Mellitus.
Patton, Susana R; Driscoll, Kimberly A; Clements, Mark A
2017-01-01
Parents of young children are responsible for daily type 1 diabetes (T1DM) cares including insulin bolusing. For optimal insulin pump management, parents should enter a blood glucose result (SMBG) and a carbohydrate estimate (if food will be consumed) into the bolus advisor in their child's pump to assist in delivering the recommended insulin bolus. Previously, pump adherence behaviors were described in adolescents; we describe these behaviors in a sample of young children. Pump data covering between 14-30 consecutive days were obtained for 116 children. Assessed adherence to essential pump adherence behaviors (eg, SMBG, carbohydrate entry, and insulin use) and adherence to 3 Wizard/Bolus Advisor steps: SMBG-carbohydrate entry-insulin bolus delivered. Parents completed SMBG ≥4 times on 99% of days, bolused insulin ≥3 times on 95% of days, and entered carbohydrates ≥3 times on 93% of days, but they corrected for hyperglycemia (≥250 mg/dl or 13.9 mmol/l) only 63% of the time. Parents completed Wizard/Bolus Advisor steps (SMBG, carbohydrate entry, insulin bolus) within 30 minutes for 43% of boluses. Inverse correlations were found between children's mean daily glucose and the percentage of days with ≥4 SMBG and ≥3 carbohydrate entries as well as the percentage of boluses where all Wizard/Bolus Advisor steps were completed. Parents of young children adhered to individual pump behaviors, but showed some variability in their adherence to Wizard/Bolus Advisor steps. Parents showed low adherence to recommendations to correct for hyperglycemia. Like adolescents, targeting pump behaviors in young children may have the potential to optimize glycemic control.
Soak Up the Rain New England Webinar Series: National ...
Presenters will provide an introduction to the most recent EPA green infrastructure tools to R1 stakeholders; and their use in making decisions about implementing green infrastructure. We will discuss structuring your green infrastructure decision, finding appropriate information and tools, evaluating options and selecting the right Best Management Practices mix for your needs.WMOST (Watershed Management Optimization Support Tool)- for screening a wide range of practices for cost-effectiveness in achieving watershed or water utilities management goals.GIWiz (Green Infrastructure Wizard)- a web application connecting communities to EPA Green Infrastructure tools and resources.Opti-Tool-designed to assist in developing technically sound and optimized cost-effective Stormwater management plans. National Stormwater Calculator- a desktop application for estimating the impact of land cover change and green infrastructure controls on stormwater runoff. DASEES-GI (Decision Analysis for a Sustainable Environment, Economy, and Society) – a framework for linking objectives and measures with green infrastructure methods. Presenters will provide an introduction to the most recent EPA green infrastructure tools to R1 stakeholders; and their use in making decisions about implementing green infrastructure. We will discuss structuring your green infrastructure decision, finding appropriate information and tools, evaluating options and selecting the right Best Management Pr
DockoMatic 2.0: high throughput inverse virtual screening and homology modeling.
Bullock, Casey; Cornia, Nic; Jacob, Reed; Remm, Andrew; Peavey, Thomas; Weekes, Ken; Mallory, Chris; Oxford, Julia T; McDougal, Owen M; Andersen, Timothy L
2013-08-26
DockoMatic is a free and open source application that unifies a suite of software programs within a user-friendly graphical user interface (GUI) to facilitate molecular docking experiments. Here we describe the release of DockoMatic 2.0; significant software advances include the ability to (1) conduct high throughput inverse virtual screening (IVS); (2) construct 3D homology models; and (3) customize the user interface. Users can now efficiently setup, start, and manage IVS experiments through the DockoMatic GUI by specifying receptor(s), ligand(s), grid parameter file(s), and docking engine (either AutoDock or AutoDock Vina). DockoMatic automatically generates the needed experiment input files and output directories and allows the user to manage and monitor job progress. Upon job completion, a summary of results is generated by Dockomatic to facilitate interpretation by the user. DockoMatic functionality has also been expanded to facilitate the construction of 3D protein homology models using the Timely Integrated Modeler (TIM) wizard. The wizard TIM provides an interface that accesses the basic local alignment search tool (BLAST) and MODELER programs and guides the user through the necessary steps to easily and efficiently create 3D homology models for biomacromolecular structures. The DockoMatic GUI can be customized by the user, and the software design makes it relatively easy to integrate additional docking engines, scoring functions, or third party programs. DockoMatic is a free comprehensive molecular docking software program for all levels of scientists in both research and education.
Nelson, C. Hans; Bacon, Charles R.; Robinson, Stephen W.; Adam, David P.; Bradbury, J. Platt; Barber, John H.; Schwartz, Deborah; Vagenas, Ginger
1994-01-01
Apparent phreatic explosion craters, caldera-floor volcanic cones, and geothermal features outline a ring fracture zone along which Mount Mazama collapsed to form the Crater Lake caldera during its climactic eruption about 6,850 yr B.P. Within a few years, subaerial deposits infilled the phreatic craters and then formed a thick wedge (10-20 m) of mass flow deposits shed from caldera walls. Intense volcanic activity (phreatic explosions, subaerial flows, and hydrothermal venting) occurred during this early postcaldera stage, and a central platform of subaerial andesite flows and scoria formed on the caldera floor.Radiocarbon ages suggest that deposition of Iacustrine hemipelagic sediment began on the central platform about 150 yr after the caldera collapse. This is the minimum time to fill the lake halfway with water and cover the platform assuming present hydrologic conditions of precipitation and evaporation but with negligible leakage of lake water. Wizard Island formed during the final part of the 300-yr lake-filling period as shown by its (1) upper subaerial lava flows from 0 to -70 m below present water level and lower subaqueous lava flows from -70 to -500 m and by (2) lacustrine turbidite sand derived from Wizard Island that was deposited on the central platform about 350 yr after the caldera collapse. Pollen stratigraphy indicates that the warm and dry climate of middle Holocene time correlates with the early lake deposits. Diatom stratigraphy also suggests a more thermally stratified and phosphate-rich environment associated respectively with this climate and greater hydrothermal activity during the early lake history.Apparent coarse-grained and thick-bedded turbidites of the early lake beds were deposited throughout northwest, southwest, and eastern basins during the time that volcanic and seismic activity formed the subaqueous Wizard Island, Merriam Cone, and rhyodacite dome. The last known postcaldera volcanic activity produced a subaqueous rhyodacite ash bed and dome about 4,240 yr B.P. The late lake beds with base-of-slope aprons and thin, fine-grained basin-plain turbidites were deposited during the volcanically quiescent period of the past 4,000 yr.Deposits in Crater Lake and on similar caldera floors suggest that four stages characterize the postcaldera evolution of smaller (≤10 km in diameter) terrestrial caldera lake floors: (1) initial-stage caldera collapse forms the ring fracture zone that controls location of the main volcanic eruptive centers and sedimentary basin depocenters on the caldera floor; (2) early-stage subaerial sedimentation rapidly fills ring-fracture depressions and constructs basin-floor debris fans from calderawall landslides; (3) first-stage subaqueous sedimentation deposits thick flat-lying lake turbidites throughout basins, while a thin blanket of hemipelagic sediment covers volcanic edifices that continue to form concurrently with lake sedimentation; and (4) second-stage subaqueous sedimentation after the waning of major volcanic activity and the earlier periods of most rapid sedimentation develops small sili-ciclastic basin base-of-slope turbidite aprons and central basin plains. Renewed volcanic activity or lake destruction could cause part or all of the cycle to repeat.
Measurements of primary cosmic-ray hydrogen and helium by the WiZard collaboration
NASA Astrophysics Data System (ADS)
Circella, M.; Ambriola, M.; Barbiellini, G.; Bartalucci, S.; Bellotti, R.; Bergström, D.; Bidoli, V.; Boezio, M.; Bonvicini, V.; Bravar, U.; Cafagna, F.; Carlson, P.; Casolino, M.; Ciacio, F.; Circella, M.; De Marzo, C.; De Pascale, M. P.; Finetti, N.; Francke, T.; Grimani, C.; Grinstein, S.; Hof, M.; Kremer, J.; Menn, W.; Mitchell, J. W.; Morselli, A.; Ormes, J. F.; Papini, P.; Piccardi, S.; Picozza, P.; Ricci, M.; Schiavon, P.; Simon, M.; Sparvoli, R.; Spillantini, P.; Stephens, S. A.; Stochaj, S. J.; Streitmatter, R. E.; Suffert, M.; Vacchi, A.; Weber, N.; Zampa, N.
We present the measurements of primary protons and helium nuclei performed by the WiZard Collaboration in different balloon-borne campaigns. A superconducting magnet spectrometer was used in these experiments together with detectors for particle recognition. These combinations of detectors made it possible to perform accurate particle measurements over a large (up to 200 GV for protons) energy interval. We focus in particular on the results from the MASS91 and CAPRICE94 experiments: We find a very good agreement between these two sets of measurements, also in comparison to other recent results. All these results seem to suggest that the normalization of primary cosmic rays may be significantly lower than previously estimated.
Plancoulaine, Benoît; Laurinaviciene, Aida; Meskauskas, Raimundas; Baltrusaityte, Indra; Besusparis, Justinas; Herlin, Paulette; Laurinavicius, Arvydas
2014-01-01
Digital image analysis (DIA) enables better reproducibility of immunohistochemistry (IHC) studies. Nevertheless, accuracy of the DIA methods needs to be ensured, demanding production of reference data sets. We have reported on methodology to calibrate DIA for Ki67 IHC in breast cancer tissue based on reference data obtained by stereology grid count. To produce the reference data more efficiently, we propose digital IHC wizard generating initial cell marks to be verified by experts. Digital images of proliferation marker Ki67 IHC from 158 patients (one tissue microarray spot per patient) with an invasive ductal carcinoma of the breast were used. Manual data (mD) were obtained by marking Ki67-positive and negative tumour cells, using a stereological method for 2D object enumeration. DIA was used as an initial step in stereology grid count to generate the digital data (dD) marks by Aperio Genie and Nuclear algorithms. The dD were collected into XML files from the DIA markup images and overlaid on the original spots along with the stereology grid. The expert correction of the dD marks resulted in corrected data (cD). The percentages of Ki67 positive tumour cells per spot in the mD, dD, and cD sets were compared by single linear regression analysis. Efficiency of cD production was estimated based on manual editing effort. The percentage of Ki67-positive tumor cells was in very good agreement in the mD, dD, and cD sets: regression of cD from dD (R2=0.92) reflects the impact of the expert editing the dD as well as accuracy of the DIA used; regression of the cD from the mD (R2=0.94) represents the consistency of the DIA-assisted ground truth (cD) with the manual procedure. Nevertheless, the accuracy of detection of individual tumour cells was much lower: in average, 18 and 219 marks per spot were edited due to the Genie and Nuclear algorithm errors, respectively. The DIA-assisted cD production in our experiment saved approximately 2/3 of manual marking. Digital IHC wizard enabled DIA-assisted stereology to produce reference data in a consistent and efficient way. It can provide quality control measure for appraising accuracy of the DIA steps.
2014-01-01
Background Digital image analysis (DIA) enables better reproducibility of immunohistochemistry (IHC) studies. Nevertheless, accuracy of the DIA methods needs to be ensured, demanding production of reference data sets. We have reported on methodology to calibrate DIA for Ki67 IHC in breast cancer tissue based on reference data obtained by stereology grid count. To produce the reference data more efficiently, we propose digital IHC wizard generating initial cell marks to be verified by experts. Methods Digital images of proliferation marker Ki67 IHC from 158 patients (one tissue microarray spot per patient) with an invasive ductal carcinoma of the breast were used. Manual data (mD) were obtained by marking Ki67-positive and negative tumour cells, using a stereological method for 2D object enumeration. DIA was used as an initial step in stereology grid count to generate the digital data (dD) marks by Aperio Genie and Nuclear algorithms. The dD were collected into XML files from the DIA markup images and overlaid on the original spots along with the stereology grid. The expert correction of the dD marks resulted in corrected data (cD). The percentages of Ki67 positive tumour cells per spot in the mD, dD, and cD sets were compared by single linear regression analysis. Efficiency of cD production was estimated based on manual editing effort. Results The percentage of Ki67-positive tumor cells was in very good agreement in the mD, dD, and cD sets: regression of cD from dD (R2=0.92) reflects the impact of the expert editing the dD as well as accuracy of the DIA used; regression of the cD from the mD (R2=0.94) represents the consistency of the DIA-assisted ground truth (cD) with the manual procedure. Nevertheless, the accuracy of detection of individual tumour cells was much lower: in average, 18 and 219 marks per spot were edited due to the Genie and Nuclear algorithm errors, respectively. The DIA-assisted cD production in our experiment saved approximately 2/3 of manual marking. Conclusions Digital IHC wizard enabled DIA-assisted stereology to produce reference data in a consistent and efficient way. It can provide quality control measure for appraising accuracy of the DIA steps. PMID:25565221
On the stability treatment in WAsP
NASA Astrophysics Data System (ADS)
Giebel, G.; Gryning, S.-E.
2003-04-01
An assessment of the treatment of atmospheric stability in the standard package for wind resource estimation, WAsP (from Risø National Laboratory), is presented. Emphasis is on the vertical wind profiles in WAsP and the treatment of stability therein, under special consideration of the nightly situation. The study starts with an introduction to WAsP and the way it treats the vertical extrapolation, under special consideration of the stability. The two parameters available for changing the stability treatment in WAsP are identified as RMS heat flux and offset heat flux. Four years worth of data from the meteorological mast at Risø, plus data from Egypt and Bermuda, is used for the identification of the parameter settings for stable conditions. To this aim, the measured heat fluxes from the mast were used to extract three data sets with successively higher stability in four different heights. These data sets were then run through the Observed Wind Climate Wizard (part of the WAsP package), resulting in Weibull fits to the data. Using these observed wind climates, a prediction of the highest level wind climate using the lowest level wind climate under all different stable conditions is undertaken and compared with the measured data set. To expand on this study, a systematic variation of the two heat flux parameters in WAsP is done, finding the parameters yielding the lowest overall errors for the predictions. Parts of this study were financed by the Landesumweltamt Brandenburg.
DockoMatic 2.0: High Throughput Inverse Virtual Screening and Homology Modeling
Bullock, Casey; Cornia, Nic; Jacob, Reed; Remm, Andrew; Peavey, Thomas; Weekes, Ken; Mallory, Chris; Oxford, Julia T.; McDougal, Owen M.; Andersen, Timothy L.
2013-01-01
DockoMatic is a free and open source application that unifies a suite of software programs within a user-friendly Graphical User Interface (GUI) to facilitate molecular docking experiments. Here we describe the release of DockoMatic 2.0; significant software advances include the ability to: (1) conduct high throughput Inverse Virtual Screening (IVS); (2) construct 3D homology models; and (3) customize the user interface. Users can now efficiently setup, start, and manage IVS experiments through the DockoMatic GUI by specifying a receptor(s), ligand(s), grid parameter file(s), and docking engine (either AutoDock or AutoDock Vina). DockoMatic automatically generates the needed experiment input files and output directories, and allows the user to manage and monitor job progress. Upon job completion, a summary of results is generated by Dockomatic to facilitate interpretation by the user. DockoMatic functionality has also been expanded to facilitate the construction of 3D protein homology models using the Timely Integrated Modeler (TIM) wizard. The wizard TIM provides an interface that accesses the basic local alignment search tool (BLAST) and MODELLER programs, and guides the user through the necessary steps to easily and efficiently create 3D homology models for biomacromolecular structures. The DockoMatic GUI can be customized by the user, and the software design makes it relatively easy to integrate additional docking engines, scoring functions, or third party programs. DockoMatic is a free comprehensive molecular docking software program for all levels of scientists in both research and education. PMID:23808933
Liu, Yijin; Meirer, Florian; Williams, Phillip A.; Wang, Junyue; Andrews, Joy C.; Pianetta, Piero
2012-01-01
Transmission X-ray microscopy (TXM) has been well recognized as a powerful tool for non-destructive investigation of the three-dimensional inner structure of a sample with spatial resolution down to a few tens of nanometers, especially when combined with synchrotron radiation sources. Recent developments of this technique have presented a need for new tools for both system control and data analysis. Here a software package developed in MATLAB for script command generation and analysis of TXM data is presented. The first toolkit, the script generator, allows automating complex experimental tasks which involve up to several thousand motor movements. The second package was designed to accomplish computationally intense tasks such as data processing of mosaic and mosaic tomography datasets; dual-energy contrast imaging, where data are recorded above and below a specific X-ray absorption edge; and TXM X-ray absorption near-edge structure imaging datasets. Furthermore, analytical and iterative tomography reconstruction algorithms were implemented. The compiled software package is freely available. PMID:22338691
Harry Potter and the curse of headache.
Sheftell, Fred; Steiner, Timothy J; Thomas, Hallie
2007-06-01
Headache disorders are common in children and adolescents. Even young male Wizards are disabled by them. In this article we review Harry Potter's headaches as described in the biographical series by JK Rowling. Moreover, we attempt to classify them. Regrettably we are not privy to the Wizard system of classifying headache disorders and are therefore limited to the Muggle method, the International Classification of Headache Disorders, 2nd edition (ICHD-II). Harry's headaches are recurrent. Although conforming to a basic stereotype, and constant in location, throughout the 6 years of his adolescence so far described they have shown a tendency to progression. Later descriptions include a range of accompanying symptoms. Despite some quite unusual features, they meet all but one of the ICHD-II criteria for migraine, so allowing the diagnosis of 1.6 Probable migraine.
Re-envisioning scientific literacy as relational, participatory thinking and doing
NASA Astrophysics Data System (ADS)
Trauth-Nare, Amy
2016-06-01
This review explores Michelle Hollingsworth Koomen's "Inclusive science education: Learning from Wizard," a case study of a middle school student with learning exceptionalities in a mainstream science classroom. The strength of Koomen's work lies in her elucidation of the ways in which normative science instruction fails to adequately support Wizard's learning. His classroom experiences position him, if unintentionally, as deficient and incapable, which in turn serves to undermine his ability to fully engage in science or to capitalize on his strengths as a learner in the service of developing disciplinary literacy. I extend this conversation by arguing for a broader view of scientific literacy and the need for a more relational pedagogy in classrooms that supports meaningful and productive engagement in science learning and fosters positive identification with science.
Cyclones, bi-cycles, and psychoanalysis: the witch-of-us? complex and The Wizard of Oz.
Stern, Jeffrey
2003-01-01
Works of applied psychoanalysis normally use psychoanalytic theory to reveal the secret meanings of works of art. An attempt is made to reverse the directionality of such analyses and see whether a work of art, The Wizard of Oz, has something to teach psychoanalysis about adolescent female psychosexual development. The author argues that the popularity and importance of the film is an effect of its symbolic representation of a girl's entry into menarche, and the meaning of this milestone for herself and for her mother. He addresses ideas about feminine castration fears (or what more recently have been called fears of genital injury), issues about menopause, and fantasies--both surprising and violent--around the meanings of menarche for both mother and daughter.
Polyp measurement with CT colonography: multiple-reader, multiple-workstation comparison.
Young, Brett M; Fletcher, J G; Paulsen, Scott R; Booya, Fargol; Johnson, C Daniel; Johnson, Kristina T; Melton, Zackary; Rodysill, Drew; Mandrekar, Jay
2007-01-01
The risk of invasive colorectal cancer in colorectal polyps correlates with lesion size. Our purpose was to define the most accurate methods for measuring polyp size at CT colonography (CTC) using three models of workstations and multiple observers. Six reviewers measured 24 unique polyps of known size (5, 7, 10, and 12 mm), shape (sessile, flat, and pedunculated), and location (straight or curved bowel segment) using CTC data sets obtained at two doses (5 mAs and 65 mAs) and a previously described colonic phantom model. Reviewers measured the largest diameter of polyps on three proprietary workstations. Each polyp was measured with lung and soft-tissue windows on axial, 2D multiplanar reconstruction (MPR), and 3D images. There were significant differences among measurements obtained at various settings within each workstation (p < 0.0001). Measurements on 2D images were more accurate with lung window than with soft-tissue window settings (p < 0.0001). For the 65-mAs data set, the most accurate measurements were obtained in analysis of axial images with lung window, 2D MPR images with lung window, and 3D tissue cube images for Wizard, Advantage, and Vitrea workstations, respectively, without significant differences in accuracy among techniques (0.11 < p < 0.59). The mean absolute error values for these optimal settings were 0.48 mm, 0.61 mm, and 0.76 mm, respectively, for the three workstations. Within the ultralow-dose 5-mAs data set the best methods for Wizard, Advantage, and Vitrea were axial with lung window, 2D MPR with lung window, and 2D MPR with lung window, respectively. Use of nearly all measurement methods, except for the Vitrea 3D tissue cube and the Wizard 2D MPR with lung window, resulted in undermeasurement of the true size of the polyps. Use of CTC computer workstations facilitates accurate polyp measurement. For routine CTC examinations, polyps should be measured with lung window settings on 2D axial or MPR images (Wizard and Advantage) or 3D images (Vitrea). When these optimal methods are used, these three commercial workstations do not differ significantly in acquisition of accurate polyp measurements at routine dose settings.
User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org
Eijssen, Lars M. T.; Jaillard, Magali; Adriaens, Michiel E.; Gaj, Stan; de Groot, Philip J.; Müller, Michael; Evelo, Chris T.
2013-01-01
Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC introduces new challenges in the genomics field where large amounts of data are produced with complex technologies. For DNA microarrays, specific algorithms for QC and pre-processing including normalization have been developed by the scientific community, especially for expression chips of the Affymetrix platform. Many of these have been implemented in the statistical scripting language R and are available from the Bioconductor repository. However, application is hampered by lack of integrative tools that can be used by users of any experience level. To fill this gap, we developed a freely available tool for QC and pre-processing of Affymetrix gene expression results, extending, integrating and harmonizing functionality of Bioconductor packages. The tool can be easily accessed through a wizard-like web portal at http://www.arrayanalysis.org or downloaded for local use in R. The portal provides extensive documentation, including user guides, interpretation help with real output illustrations and detailed technical documentation. It assists newcomers to the field in performing state-of-the-art QC and pre-processing while offering data analysts an integral open-source package. Providing the scientific community with this easily accessible tool will allow improving data quality and reuse and adoption of standards. PMID:23620278
Diy Geospatial Web Service Chains: Geochaining Make it Easy
NASA Astrophysics Data System (ADS)
Wu, H.; You, L.; Gui, Z.
2011-08-01
It is a great challenge for beginners to create, deploy and utilize a Geospatial Web Service Chain (GWSC). People in Computer Science are usually not familiar with geospatial domain knowledge. Geospatial practitioners may lack the knowledge about web services and service chains. The end users may lack both. However, integrated visual editing interfaces, validation tools, and oneclick deployment wizards may help to lower the learning curve and improve modelling skills so beginners will have a better experience. GeoChaining is a GWSC modelling tool designed and developed based on these ideas. GeoChaining integrates visual editing, validation, deployment, execution etc. into a unified platform. By employing a Virtual Globe, users can intuitively visualize raw data and results produced by GeoChaining. All of these features allow users to easily start using GWSC, regardless of their professional background and computer skills. Further, GeoChaining supports GWSC model reuse, meaning that an entire GWSC model created or even a specific part can be directly reused in a new model. This greatly improves the efficiency of creating a new GWSC, and also contributes to the sharing and interoperability of GWSC.
Designs for Risk Evaluation and Management
DOE Office of Scientific and Technical Information (OSTI.GOV)
The Designs for Risk Evaluation and Management (DREAM) tool was developed as part of the effort to quantify the risk of geologic storage of carbon dioxide (CO 2) under the U.S. Department of Energy's National Risk Assessment Partnership (NRAP). DREAM is an optimization tool created to identify optimal monitoring schemes that minimize the time to first detection of CO 2 leakage from a subsurface storage formation. DREAM acts as a post-processer on user-provided output from subsurface leakage simulations. While DREAM was developed for CO 2 leakage scenarios, it is applicable to any subsurface leakage simulation of the same output format.more » The DREAM tool is comprised of three main components: (1) a Java wizard used to configure and execute the simulations, (2) a visualization tool to view the domain space and optimization results, and (3) a plotting tool used to analyze the results. A secondary Java application is provided to aid users in converting common American Standard Code for Information Interchange (ASCII) output data to the standard DREAM hierarchical data format (HDF5). DREAM employs a simulated annealing approach that searches the solution space by iteratively mutating potential monitoring schemes built of various configurations of monitoring locations and leak detection parameters. This approach has proven to be orders of magnitude faster than an exhaustive search of the entire solution space. The user's manual illustrates the program graphical user interface (GUI), describes the tool inputs, and includes an example application.« less
Design and implementation of fishery rescue data mart system
NASA Astrophysics Data System (ADS)
Pan, Jun; Huang, Haiguang; Liu, Yousong
A novel data mart based system for fishery rescue field was designed and implemented. The system runs ETL process to deal with original data from various databases and data warehouses, and then reorganized the data into the fishery rescue data mart. Next, online analytical processing (OLAP) are carried out and statistical reports are generated automatically. Particularly, quick configuration schemes are designed to configure query dimensions and OLAP data sets. The configuration file will be transformed into statistic interfaces automatically through a wizard-style process. The system provides various forms of reporting files, including crystal reports, flash graphical reports, and two-dimensional data grids. In addition, a wizard style interface was designed to guide users customizing inquiry processes, making it possible for nontechnical staffs to access customized reports. Characterized by quick configuration, safeness and flexibility, the system has been successfully applied in city fishery rescue department.
Education of the Young Harry Potter: Socialization and Schooling for Wizards.
ERIC Educational Resources Information Center
Black, Mary S.; Eisenwine, Marilyn J.
2001-01-01
Examines the "Harry Potter" books for the messages they convey about schools, teachers, and education. Asserts that the present positive images of schooling as well as moral dilemmas and their resolution. (Contains 23 references.) (SK)
Egg-in-the-Bottle Demonstration.
ERIC Educational Resources Information Center
Goates, Wayne
2003-01-01
Presents a science experiment to introduce the concept of air pressure based on a demonstration aired on the television show "Watch Mr. Wizard" in 1951. Illustrates the way temperature affects pressure. Discusses some safety concerns and possible extensions to the activity. (SOE)
The “NetBoard”: Network Monitoring Tools Integration for INFN Tier-1 Data Center
NASA Astrophysics Data System (ADS)
De Girolamo, D.; dell'Agnello and, L.; Zani, S.
2012-12-01
The monitoring and alert system is fundamental for the management and the operation of the network in a large data center such as an LHC Tier-1. The network of the INFN Tier-1 at CNAF is a multi-vendor environment: for its management and monitoring several tools have been adopted and different sensors have been developed. In this paper, after an overview on the different aspects to be monitored and the tools used for them (i.e. MRTG, Nagios, Arpwatch, NetFlow, Syslog, etc), we will describe the “NetBoard”, a monitoring toolkit developed at the INFN Tier-1. NetBoard, developed for a multi-vendor network, is able to install and auto-configure all tools needed for its monitoring, either via network devices discovery mechanism or via configuration file or via wizard. In this way, we are also able to activate different types of sensors and Nagios checks according to the equipment vendor specifications. Moreover, when a new device is connected in the LAN, NetBoard can detect where it is plugged. Finally the NetBoard web interface allows to have the overall status of the entire network “at a glance”, both the local and the geographical (including the LHCOPN and the LHCONE) link utilization, health status of network devices (with active alerts) and flow analysis.
Idiocultural Design as a Tool of Cultural Psychology.
Cole, Michael
2017-09-01
The study of small group idiocultures offers a productive way to study the role of culture in human cognitive and social development. My evidence is drawn from a multi-decade long study of groups of mixed-aged participants engaged in deliberately designed forms of joint activity taking place several times a week over periods extending over decades in a variety of institutional settings. In each such system, participants ranging from middle childhood to adulthood participate in an after-school program composed of a wide variety of games brought together in a fantasy world watched over by a Wizard. Insights offered by this approach include comparative analysis of skill development in different idiocultural systems, intergenerational changes in the local cultural systems themselves, and intra-cultural variations in the behavioral changes of individual children occurring over different time scales. Implications of this comparative approach for psychology science are discussed.
MyGeoHub: A Collaborative Geospatial Research and Education Platform
NASA Astrophysics Data System (ADS)
Kalyanam, R.; Zhao, L.; Biehl, L. L.; Song, C. X.; Merwade, V.; Villoria, N.
2017-12-01
Scientific research is increasingly collaborative and globally distributed; research groups now rely on web-based scientific tools and data management systems to simplify their day-to-day collaborative workflows. However, such tools often lack seamless interfaces, requiring researchers to contend with manual data transfers, annotation and sharing. MyGeoHub is a web platform that supports out-of-the-box, seamless workflows involving data ingestion, metadata extraction, analysis, sharing and publication. MyGeoHub is built on the HUBzero cyberinfrastructure platform and adds general-purpose software building blocks (GABBs), for geospatial data management, visualization and analysis. A data management building block iData, processes geospatial files, extracting metadata for keyword and map-based search while enabling quick previews. iData is pervasive, allowing access through a web interface, scientific tools on MyGeoHub or even mobile field devices via a data service API. GABBs includes a Python map library as well as map widgets that in a few lines of code, generate complete geospatial visualization web interfaces for scientific tools. GABBs also includes powerful tools that can be used with no programming effort. The GeoBuilder tool provides an intuitive wizard for importing multi-variable, geo-located time series data (typical of sensor readings, GPS trackers) to build visualizations supporting data filtering and plotting. MyGeoHub has been used in tutorials at scientific conferences and educational activities for K-12 students. MyGeoHub is also constantly evolving; the recent addition of Jupyter and R Shiny notebook environments enable reproducible, richly interactive geospatial analyses and applications ranging from simple pre-processing to published tools. MyGeoHub is not a monolithic geospatial science gateway, instead it supports diverse needs ranging from just a feature-rich data management system, to complex scientific tools and workflows.
NASA Astrophysics Data System (ADS)
Kuzma, H. A.; Boyle, K.; Pullman, S.; Reagan, M. T.; Moridis, G. J.; Blasingame, T. A.; Rector, J. W.; Nikolaou, M.
2010-12-01
A Self Teaching Expert System (SeTES) is being developed for the analysis, design and prediction of gas production from shales. An Expert System is a computer program designed to answer questions or clarify uncertainties that its designers did not necessarily envision which would otherwise have to be addressed by consultation with one or more human experts. Modern developments in computer learning, data mining, database management, web integration and cheap computing power are bringing the promise of expert systems to fruition. SeTES is a partial successor to Prospector, a system to aid in the identification and evaluation of mineral deposits developed by Stanford University and the USGS in the late 1970s, and one of the most famous early expert systems. Instead of the text dialogue used in early systems, the web user interface of SeTES helps a non-expert user to articulate, clarify and reason about a problem by navigating through a series of interactive wizards. The wizards identify potential solutions to queries by retrieving and combining together relevant records from a database. Inferences, decisions and predictions are made from incomplete and noisy inputs using a series of probabilistic models (Bayesian Networks) which incorporate records from the database, physical laws and empirical knowledge in the form of prior probability distributions. The database is mainly populated with empirical measurements, however an automatic algorithm supplements sparse data with synthetic data obtained through physical modeling. This constitutes the mechanism for how SeTES self-teaches. SeTES’ predictive power is expected to grow as users contribute more data into the system. Samples are appropriately weighted to favor high quality empirical data over low quality or synthetic data. Finally, a set of data visualization tools digests the output measurements into graphical outputs.
The U.S. Environmental Protection Agency (EPA) has created the Environmental Technology Verification Program (ETV) to facilitate the deployment of innovative or improved environmental technologies through performance verification and dissemination of information. The goal of the ...
ERIC Educational Resources Information Center
Clark, Robert J.
2001-01-01
Superintendents' lack of longevity mirrors society's quick-fix mentality. Superintendents acquire reputations (as money wizards or bond passers) and move to other districts requiring that expertise. However, superintendents need to be more than one-dimensional leaders, and school board members must become savvier about educational politics. (MLH)
Breaking the spell of differentiated instruction through equity pedagogy and teacher community
NASA Astrophysics Data System (ADS)
Bannister, Nicole A.
2016-06-01
Koomen's study of Wizard—an articulate, inquisitive, energetic seventh grader with a penchant for science—adversely juxtaposed his learning-centered identity with classroom experiences that marginalized him. I claim in my response that critical commentary about Wizard's race is germane to any analysis of his experiences, as participation in an inclusive science classroom can be conceptualized as a racialized form of experience. My paper contributes a counternarrative to deficit normalizations of African American children—including students identified with exceptionalities—by rendering the inequities of differentiated instruction visible and theorizing about how this approach restricted Wizard's learning and participation by positioning him as low status and less competent. I discuss four reasons why the strategy of differentiated instruction is ideologically opposed to goals for equitable classrooms and argue that this model invites reproductions of status orderings from the larger society into the classroom. I conclude with recommendations for an equity pedagogy through Complex Instruction developed inside teacher community as a viable alternative for this work.
NASA Technical Reports Server (NTRS)
Petrenko, M.; Hegde, M.; Bryant, K.; Johnson, J. E.; Ritrivi, A.; Shen, S.; Volmer, B.; Pham, L. B.
2015-01-01
Goddard Earth Sciences Data and Information Services Center (GES DISC) has been providing access to scientific data sets since 1990s. Beginning as one of the first Earth Observing System Data and Information System (EOSDIS) archive centers, GES DISC has evolved to offer a wide range of science-enabling services. With a growing understanding of needs and goals of its science users, GES DISC continues to improve and expand on its broad set of data discovery and access tools, sub-setting services, and visualization tools. Nonetheless, the multitude of the available tools, a partial overlap of functionality, and independent and uncoupled interfaces employed by these tools often leave the end users confused as of what tools or services are the most appropriate for a task at hand. As a result, some the services remain underutilized or largely unknown to the users, significantly reducing the availability of the data and leading to a great loss of scientific productivity. In order to improve the accessibility of GES DISC tools and services, we have designed and implemented UUI, the Unified User Interface. UUI seeks to provide a simple, unified, and intuitive one-stop shop experience for the key services available at GES DISC, including sub-setting (Simple Subset Wizard), granule file search (Mirador), plotting (Giovanni), and other services. In this poster, we will discuss the main lessons, obstacles, and insights encountered while designing the UUI experience. We will also present the architecture and technology behind UUI, including NodeJS, Angular, and Mongo DB, as well as speculate on the future of the tool at GES DISC as well as in a broader context of the Space Science Informatics.
Modern Analytical Chemistry in the Contemporary World
ERIC Educational Resources Information Center
Šíma, Jan
2016-01-01
Students not familiar with chemistry tend to misinterpret analytical chemistry as some kind of the sorcery where analytical chemists working as modern wizards handle magical black boxes able to provide fascinating results. However, this approach is evidently improper and misleading. Therefore, the position of modern analytical chemistry among…
Sustainable Materials Management: At Your Fingertips
EPA recently announced the release of the beta version of EPA’s Materials Management Wizard web application (or “M-Wiz,” for short)—that puts that wealth of knowledge at your fingertips in a guided, easy-to-use format you can tailor to your specific needs.
Mr. Wizard's Supermarket Science.
ERIC Educational Resources Information Center
Herbert, Don
Activities which can be done with items purchased in supermarkets form the basis of this book. The activities are arranged into sections by type of item; breakfast foods; dried foods; soups; baking ingredients; gelatin; condiments; coffee; salad dressing; dairy products; meats; cleaning supplies; cookware; juices; picnic supplies; paper towels;…
Scaffolding Collaborative Technical Writing with Procedural Facilitation and Synchronous Discussion
ERIC Educational Resources Information Center
Yeh, Shiou-Wen; Lo, Jia-Jiunn; Huang, Jeng-Jia
2011-01-01
With the advent of computer technology, researchers and instructors are attempting to devise computer support for effective collaborative technical writing. In this study, a computer-supported environment for collaborative technical writing was developed. This system (Process-Writing Wizard) provides process-oriented scaffolds and a synchronous…
Exposing the Mathematical Wizard: Approximating Trigonometric Functions
ERIC Educational Resources Information Center
Gordon, Sheldon P.
2011-01-01
For almost all students, what happens when they push buttons on their calculators is essentially magic, and the techniques used are seemingly pure wizardry. In this article, the author draws back the curtain to expose some of the mathematics behind computational wizardry and introduces some fundamental ideas that are accessible to precalculus…
ERIC Educational Resources Information Center
Christy, Donna; Lambe, Karen; Payson, Christine; Carnevale, Patricia
2011-01-01
The crucial need for a mathematically literate society, coupled with a sustained focus on mathematics standards, continues its center-stage presence. At the same time, "Principles and Standards" states that it is imperative to offer "all students high-quality programs that include significant mathematics presented in a manner that respects both…
Inclusive Science Education: Learning from Wizard
ERIC Educational Resources Information Center
Koomen, Michele Hollingsworth
2016-01-01
This case study reports on a student with special education needs in an inclusive seventh grade life science classroom using a framework of disability studies in education. Classroom data collected over 13 weeks consisted of qualitative (student and classroom observations, interviews, student work samples and video-taped classroom teaching and…
Re-Envisioning Scientific Literacy as Relational, Participatory Thinking and Doing
ERIC Educational Resources Information Center
Trauth-Nare, Amy
2016-01-01
This review explores Michelle Hollingsworth Koomen's "Inclusive science education: Learning from Wizard" (see EJ1102217), a case study of a middle school student with learning exceptionalities in a mainstream science classroom. The strength of Koomen's work lies in her elucidation of the ways in which normative science instruction fails…
Registration of 'LCS Wizard' wheat
USDA-ARS?s Scientific Manuscript database
The objective of this research was to develop widely adapted hard winter wheat (Triticum aestivum L.) varieties to meet the needs of mills, bakeries, and consumers in the eastern and Great Plains regions of the United States. ‘LCS Wizard’ (Reg. No. CV-1111, PI 669574), a hard red winter (HRW) wheat,...
Deconstructing Harry: A Practical Approach To Getting the Most Out of a Certain Young Wizard.
ERIC Educational Resources Information Center
Greene, Pamela M.
2000-01-01
Presents ideas for activities geared to children ages seven and up that revolve around the Harry Potter books, based on a Harry Potter Holiday Club developed at the Beverly Hills (California) Public Library. Includes costs, craft activities, theater performances, and games. (LRW)
Tips from Harry Potter for American Schools
ERIC Educational Resources Information Center
Booth, Margaret Zoller; Booth, Grace Marie
2004-01-01
The United States has been swept up in the "Harry Potter" phenomenon, with film adaptations, companion readers, and literary critique and analysis following J. K. Rowling's books on the adolescent wizard's adventures. The book has also touched off a reaction from conservative Christian institutions seeking to ban the books in school…
Keeping Up: Twenty of the Year's Best Education Films.
ERIC Educational Resources Information Center
Ehlinger, Clifford
1982-01-01
Summaries of 20 selected instructional films for elementary, intermediate, and secondary students are presented. Subjects include the solar system, lighting, insects, health, friendship, fairy tales, fire hazards, glassmaking, and foreign countries. Film adaptions of "The Wizard of Oz" and two stories by Mark Twain are also reviewed. (PP)
Horvath, Monica M.; Winfield, Stephanie; Evans, Steve; Slopek, Steve; Shang, Howard; Ferranti, Jeffrey
2011-01-01
In many healthcare organizations, comparative effectiveness research and quality improvement (QI) investigations are hampered by a lack of access to data created as a byproduct of patient care. Data collection often hinges upon either manual chart review or ad hoc requests to technical experts who support legacy clinical systems. In order to facilitate this needed capacity for data exploration at our institution (Duke University Health System), we have designed and deployed a robust Web application for cohort identification and data extraction—the Duke Enterprise Data Unified Content Explorer (DEDUCE). DEDUCE is envisioned as a simple, web-based environment that allows investigators access to administrative, financial, and clinical information generated during patient care. By using business intelligence tools to create a view into Duke Medicine's enterprise data warehouse, DEDUCE provides a guided query functionality using a wizard-like interface that lets users filter through millions of clinical records, explore aggregate reports, and, export extracts. Researchers and QI specialists can obtain detailed patient- and observation-level extracts without needing to understand structured query language or the underlying database model. Developers designing such tools must devote sufficient training and develop application safeguards to ensure that patient-centered clinical researchers understand when observation-level extracts should be used. This may mitigate the risk of data being misunderstood and consequently used in an improper fashion. PMID:21130181
Horvath, Monica M; Winfield, Stephanie; Evans, Steve; Slopek, Steve; Shang, Howard; Ferranti, Jeffrey
2011-04-01
In many healthcare organizations, comparative effectiveness research and quality improvement (QI) investigations are hampered by a lack of access to data created as a byproduct of patient care. Data collection often hinges upon either manual chart review or ad hoc requests to technical experts who support legacy clinical systems. In order to facilitate this needed capacity for data exploration at our institution (Duke University Health System), we have designed and deployed a robust Web application for cohort identification and data extraction--the Duke Enterprise Data Unified Content Explorer (DEDUCE). DEDUCE is envisioned as a simple, web-based environment that allows investigators access to administrative, financial, and clinical information generated during patient care. By using business intelligence tools to create a view into Duke Medicine's enterprise data warehouse, DEDUCE provides a Guided Query functionality using a wizard-like interface that lets users filter through millions of clinical records, explore aggregate reports, and, export extracts. Researchers and QI specialists can obtain detailed patient- and observation-level extracts without needing to understand structured query language or the underlying database model. Developers designing such tools must devote sufficient training and develop application safeguards to ensure that patient-centered clinical researchers understand when observation-level extracts should be used. This may mitigate the risk of data being misunderstood and consequently used in an improper fashion. Copyright © 2010 Elsevier Inc. All rights reserved.
UUI: Reusable Spatial Data Services in Unified User Interface at NASA GES DISC
NASA Technical Reports Server (NTRS)
Petrenko, Maksym; Hegde, Mahabaleshwa; Bryant, Keith; Pham, Long B.
2016-01-01
Unified User Interface (UUI) is a next-generation operational data access tool that has been developed at Goddard Earth Sciences Data and Information Services Center(GES DISC) to provide a simple, unified, and intuitive one-stop shop experience for the key data services available at GES DISC, including subsetting (Simple Subset Wizard -SSW), granule file search (Mirador), plotting (Giovanni), and other legacy spatial data services. UUI has been built based on a flexible infrastructure of reusable web services self-contained building blocks that can easily be plugged into spatial applications, including third-party clients or services, to easily enable new functionality as new datasets and services become available. In this presentation, we will discuss our experience in designing UUI services based on open industry standards. We will also explain how the resulting framework can be used for a rapid development, deployment, and integration of spatial data services, facilitating efficient access and dissemination of spatial data sets.
JAva GUi for Applied Research (JAGUAR) v 3.0
DOE Office of Scientific and Technical Information (OSTI.GOV)
JAGUAR is a Java software tool for automatically rendering a graphical user interface (GUI) from a structured input specification. It is designed as a plug-in to the Eclipse workbench to enable users to create, edit, and externally execute analysis application input decks and then view the results. JAGUAR serves as a GUI for Sandia's DAKOTA software toolkit for optimization and uncertainty quantification. It will include problem (input deck)set-up, option specification, analysis execution, and results visualization. Through the use of wizards, templates, and views, JAGUAR helps uses navigate the complexity of DAKOTA's complete input specification. JAGUAR is implemented in Java, leveragingmore » Eclipse extension points and Eclipse user interface. JAGUAR parses a DAKOTA NIDR input specification and presents the user with linked graphical and plain text representations of problem set-up and option specification for DAKOTA studies. After the data has been input by the user, JAGUAR generates one or more input files for DAKOTA, executes DAKOTA, and captures and interprets the results« less
NASA Astrophysics Data System (ADS)
Donnelly, William J., III
2012-06-01
PURPOSE: To present a commercially available optical modeling software tool to assist the development of optical instrumentation and systems that utilize and/or integrate with the human eye. METHODS: A commercially available flexible eye modeling system is presented, the Advanced Human Eye Model (AHEM). AHEM is a module that the engineer can use to perform rapid development and test scenarios on systems that integrate with the eye. Methods include merging modeled systems initially developed outside of AHEM and performing a series of wizard-type operations that relieve the user from requiring an optometric or ophthalmic background to produce a complete eye inclusive system. Scenarios consist of retinal imaging of targets and sources through integrated systems. Uses include, but are not limited to, optimization, telescopes, microscopes, spectacles, contact and intraocular lenses, ocular aberrations, cataract simulation and scattering, and twin eye model (binocular) systems. RESULTS: Metrics, graphical data, and exportable CAD geometry are generated from the various modeling scenarios.
The Wizards of Odds: Leadership Journeys of Education Deans.
ERIC Educational Resources Information Center
Bowen, Larry S., Ed.
This monograph contains reflections by current and former deans of schools of education on their experiences in providing leadership for change, their attempts at reform, their perceived successes and failures, and the lessons they learned. It opens with a preface by Larry S. Bowen describing the conference that led to the monograph, the…
Using a Metaphor in Working with Disaster Survivors.
ERIC Educational Resources Information Center
Carmichael, Karla D.
2000-01-01
Describes group intervention based on the story of The Wizard of Oz, in response to tornado in a small rural community. Approximately 30 people participated in the psychoeducational group led by faculty from a nearby college. The therapeutic metaphor served three functions: to remember, to teach, and to motivate. This allowed survivors to see…
Towards a more plausible dragon
NASA Astrophysics Data System (ADS)
Efthimiou, Costas
2014-08-01
Wizards, mermaids, dragons and aliens. Walking, running, flying and space travel. A hi-tech elevator, a computer, a propulsion engine and a black hole. What do all of these things have in common? This might seem like a really hard brainteaser but the answer is simple: they all obey the fundamental laws of our universe.
Language Arts/Reading: From Oz to the Death Star: Exploring Universal Ideas.
ERIC Educational Resources Information Center
Lacy, Lyn
1980-01-01
Tracking down the similarities between two beloved stories (the Wizard of Oz and Star Wars) led to a critical analysis of other tales. Through this process, students discovered why some books are classics, became more discriminating readers, and applied what they learned to their own creative writing. (Author/KC)
Spellbinding Science: An Interview With Charlene Haviland
ERIC Educational Resources Information Center
Curriculum Review, 2005
2005-01-01
With Harry Potter fever gripping the globe again this year, Charlene Haviland recently scored national media attention for a new after-school program which ties science experiments into a certain young wizard's adventures--as well as other children's literature. An 8th-grade teacher at Norfolk, Virginia's Northside Middle School, Haviland has had…
Voices of Women in the Field: Lessons from the Land of Administrative Oz
ERIC Educational Resources Information Center
Renner, Carol
2005-01-01
The classic fairy tale, the "Wizard of Oz," may have some lessons for female teachers considering school administration. Just as Dorothy, female educators experience the same perplexing emotions, questioning the right career destiny, experiencing stormy situations that thrust them into career paths, exploring the unpredictable paths to their…
Technology-Based Literature Plans for Elementary Students (Technology Links to Literacy).
ERIC Educational Resources Information Center
Wepner, Shelley B.
1991-01-01
Presents ideas for incorporating software into each guided reading phase for two realistic fiction books: Lois Lowry's "Anastasia on Her Own" and Barthe DeClements's "The Fourth Grade Wizards." Discusses how each skeletal plan uses three pieces of software to enliven students' oral and written thoughts about the books'…
Peter Koch: wizard of wood use
M.E. Lora
1978-01-01
Like his pioneer forefathers, Peter Koch sees opportunity where others see obstacles. And his vision is helping to reshape the wood industry. Since 1963 Koch has directed research on processing southern woods for the U.S. Forest Service's Southern Forest Experiment Station in Pineville, Louisiana. In that time, he has invented six revolutionary machines, developed...
Semiotics of Power and Dictatorship in Ngugi Wa Thiong'o's Later Novels
ERIC Educational Resources Information Center
Amoussou, Yemalo C.
2016-01-01
This paper explores the different uses of symbols to express power and interpersonal relationship in Ngugi's bulkiest novel "Wizard of the Crow" (2006), with a few illustrations from "Matigari" (1987). It draws on the semiotic approach and identifies about a hundred discourse strings in which signs are used to express tenor…
Syntactic Priming in Comprehension: The Role of Argument Order and Animacy
ERIC Educational Resources Information Center
Carminati, Maria Nella; van Gompel, Roger P. G.; Scheepers, Christoph; Arai, Manabu
2008-01-01
Two visual-world eye-movement experiments investigated the nature of syntactic priming during comprehension--specifically, whether the priming effects in ditransitive prepositional object (PO) and double object (DO) structures (e.g., "The wizard will send the poison to the prince/the prince the poison") are due to anticipation of structural…
Competitions: What Parents of Gifted Students Must Know
ERIC Educational Resources Information Center
Karnes, Frances A.; Riley, Tracy L.
2005-01-01
The media calls them the wizards of tomorrow, the fix-it-kids, athletes of the mind, star players, and champs. These are the young people who compete and win academic, artistic, leadership, and service related competitions. Competitors spell words as difficult as autochthonous, make new scientific discoveries, compose poetry, publish their short…
ERIC Educational Resources Information Center
Apel, Laura
2007-01-01
This article profiles Mike Simmel, a member of the Harlem Wizards professional basketball team and a national spokesman for Epilepsy Awareness. Mike has been diagnosed with epilepsy when he was two-years-old. At age seven, his father gave him a basketball to see if working with the ball would help him overcome his motor skills issues. Mike first…
Reynolds, Christopher R; Islam, Suhail A; Sternberg, Michael J E
2018-01-31
EzMol is a molecular visualization Web server in the form of a software wizard, located at http://www.sbg.bio.ic.ac.uk/ezmol/. It is designed for easy and rapid image manipulation and display of protein molecules, and is intended for users who need to quickly produce high-resolution images of protein molecules but do not have the time or inclination to use a software molecular visualization system. EzMol allows the upload of molecular structure files in PDB format to generate a Web page including a representation of the structure that the user can manipulate. EzMol provides intuitive options for chain display, adjusting the color/transparency of residues, side chains and protein surfaces, and for adding labels to residues. The final adjusted protein image can then be downloaded as a high-resolution image. There are a range of applications for rapid protein display, including the illustration of specific areas of a protein structure and the rapid prototyping of images. Copyright © 2018. Published by Elsevier Ltd.
Application of open source standards and technologies in the http://climate4impact.eu/ portal
NASA Astrophysics Data System (ADS)
Plieger, Maarten; Som de Cerff, Wim; Pagé, Christian; Tatarinova, Natalia
2015-04-01
This presentation will demonstrate how to calculate and visualize the climate indice SU (number of summer days) on the climate4impact portal. The following topics will be covered during the demonstration: - Security: Login using OpenID for access to the Earth System Grid Fedeation (ESGF) data nodes. The ESGF works in conjunction with several external websites and systems. The climate4impact portal uses X509 based short lived credentials, generated on behalf of the user with a MyProxy service. Single Sign-on (SSO) is used to make these websites and systems work together. - Discovery: Facetted search based on e.g. variable name, model and institute using the ESGF search services. A catalog browser allows for browsing through CMIP5 and any other climate model data catalogues (e.g. ESSENCE, EOBS, UNIDATA). - Processing using Web Processing Services (WPS): Transform data, subset, export into other formats, and perform climate indices calculations using Web Processing Services implemented by PyWPS, based on NCAR NCPP OpenClimateGIS and IS-ENES2 ICCLIM. - Visualization using Web Map Services (WMS): Visualize data from ESGF data nodes using ADAGUC Web Map Services. The aim of climate4impact is to enhance the use of Climate Research Data and to enhance the interaction with climate effect/impact communities. The portal is based on 21 impact use cases from 5 different European countries, and is evaluated by a user panel consisting of use case owners. It has been developed within the European projects IS-ENES and IS-ENES2 for more than 5 years, and its development currently continues within IS-ENES2 and CLIPC. As the climate impact community is very broad, the focus is mainly on the scientific impact community. This work has resulted in the ENES portal interface for climate impact communities and can be visited at http://climate4impact.eu/ The current main objectives for climate4impact can be summarized in two objectives. The first one is to work on a web interface which automatically generates a graphical user interface on WPS endpoints. The WPS calculates climate indices and subset data using OpenClimateGIS/ICCLIM on data stored in ESGF data nodes. Data is then transmitted from ESGF nodes over secured OpenDAP and becomes available in a new, per user, secured OpenDAP server. The results can then be visualized again using ADAGUC WMS. Dedicated wizards for processing of climate indices will be developed in close collaboration with users. The second one is to expose climate4impact services, so as to offer standardized services which can be used by other portals. This has the advantage to add interoperability between several portals, as well as to enable the design of specific portals aimed at different impact communities, either thematic or national, for example.
Developing a Decision Support System for Flood Response: NIMS/ICS Fundamentals
NASA Astrophysics Data System (ADS)
Gutenson, J. L.; Zhang, X.; Ernest, A. N. S.; Oubeidillah, A.; Zhu, L.
2015-12-01
Effective response to regional disasters such as floods requires a multipronged, non-linear approach to reduce loss of life, property and harm to the environment. These coordinated response actions are typically undertaken by multiple jurisdictions, levels of government, functional agencies and other responsible entities. A successful response is highly dependent on the effectiveness and efficiency of each coordinated response action undertaken across a broad spectrum of organizations and activities. In order to provide a unified framework for those responding to incidents or planned events, FEMA provides a common and flexible approach for managing incidents, regardless of cause, size, location or complexity, referred to as the National Incident Management System (NIMS). Integral to NIMS is the Incident Command System (ICS), which establishes a common, pre-defined organizational structure to ensure coordination and management of procedures, resources and communications, for efficient incident management. While being both efficient and rigorous, NIMS, and ICS to a lesser extent, is an inherently complex framework that requires significant amount of training for planners, responders and managers to master, especially considering the wide array of incident types that Local Emergency Planning Committees (LEPCs) must be prepared to respond to. The existing Water-Wizard Decision Support System (DSS), developed to support water distribution system recovery operations for Decontamination (Decon), Operational Optimization (WDS), and Economic Consequence Assessment (Econ), is being evolved to integrate incident response functions. Water-Wizard runs on both mobile and desktop devices, and is being extended to utilize smartphone and mobile device specific data streams (e.g GPS location) to augment its fact-base in real-time for situational-aware DSS recommendations. In addition, the structured NIMS and ICS frameworks for incident management and response are being incorporated into the Water-Wizard knowledgebase, with a mid-term goal of integrating flood-specific emergency response domain knowledge to provide a real-time flood responder decision support.
Greenspoon, S A; Sykes, K L V; Ban, J D; Pollard, A; Baisden, M; Farr, M; Graham, N; Collins, B L; Green, M M; Christenson, C C
2006-12-20
Human genome, pharmaceutical and research laboratories have long enjoyed the application of robotics to performing repetitive laboratory tasks. However, the utilization of robotics in forensic laboratories for processing casework samples is relatively new and poses particular challenges. Since the quantity and quality (a mixture versus a single source sample, the level of degradation, the presence of PCR inhibitors) of the DNA contained within a casework sample is unknown, particular attention must be paid to procedural susceptibility to contamination, as well as DNA yield, especially as it pertains to samples with little biological material. The Virginia Department of Forensic Science (VDFS) has successfully automated forensic casework DNA extraction utilizing the DNA IQ(trade mark) System in conjunction with the Biomek 2000 Automation Workstation. Human DNA quantitation is also performed in a near complete automated fashion utilizing the AluQuant Human DNA Quantitation System and the Biomek 2000 Automation Workstation. Recently, the PCR setup for casework samples has been automated, employing the Biomek 2000 Automation Workstation and Normalization Wizard, Genetic Identity version, which utilizes the quantitation data, imported into the software, to create a customized automated method for DNA dilution, unique to that plate of DNA samples. The PCR Setup software method, used in conjunction with the Normalization Wizard method and written for the Biomek 2000, functions to mix the diluted DNA samples, transfer the PCR master mix, and transfer the diluted DNA samples to PCR amplification tubes. Once the process is complete, the DNA extracts, still on the deck of the robot in PCR amplification strip tubes, are transferred to pre-labeled 1.5 mL tubes for long-term storage using an automated method. The automation of these steps in the process of forensic DNA casework analysis has been accomplished by performing extensive optimization, validation and testing of the software methods.
BASINS and WEPP Climate Assessment Tools (CAT): Case ...
This draft report supports application of two recently developed water modeling tools, the BASINS and WEPP climate assessment tools. The report presents a series of short case studies designed to illustrate the capabilities of these tools for conducting scenario based assessments of the potential future effects of climate change on water resources. This report presents a series of short, illustrative case studies using the BASINS and WEPP climate assessment tools.
Evaluating the Mentor-Mentee Relationship in the 4-H Tech Wizards Program
ERIC Educational Resources Information Center
Toelle, Andy; Terry, Bryan D.; Broaddus, Brent; Kent, Heather; Barnett, Lauren
2015-01-01
Youth rely on mentors to provide camaraderie, encouragement, and guidance. The authors asserted that the measurement of youth-mentor relationship would vastly improve the reaching effects of mentorship and expose areas of potential improvement. A questionnaire was given to youth at the beginning and end of a small group mentoring program. The…
ERIC Educational Resources Information Center
Gaither, Dick; Baker, John
An Indianapolis (Indiana) project gave disadvantaged junior high and high school students summer jobs in various departments of a Veterans' Administration hospital. The project combined work with at least 1 hour per day of computerized instruction in basic mathematics and language, work maturity, and specific job competencies. Rules were strict,…
ERIC Educational Resources Information Center
McPherson, Moira N.; Marsh, Pamela K.; Montelpare, William J.; Van Barneveld, Christina; Zerpa, Carlos E.
2009-01-01
Background: Wizards of Motion is a program of curriculum delivery through which experts in Kinesiology introduce grade 7 students to applications of physics for human movement. The program is linked closely to Ministry of Education curriculum requirements but includes human movement applications and data analysis experiences. Purpose: The purpose…
Stripping the Wizard's Curtain: Examining the Practice of Online Grade Booking in K-12 Schools
ERIC Educational Resources Information Center
Miller, Roxanne Greitz; Brady, John T.; Izumi, Jared T.
2016-01-01
Online grade booking, where parents and students have access to teachers' grade books through the Internet, has become the prevailing method for transmitting daily academic progress for students across the United States. However, this practice has proliferated without consideration of the potential relational impacts of the practice on parents,…
ERIC Educational Resources Information Center
Good, Howard
2003-01-01
In this article, the author discusses how the classic film "The Wizard of Oz" offers a wealth of guidance about providing a well-rounded education. It is his theory that the four companions who skip arm in arm down the Yellow Brick Road each represent an essential aspect or goal of education. When one adds what the Scarecrow wants (a brain) to…
Lifting the Curtain on the Wizard of Oz: Biased Voice-Based Impressions of Speaker Size
ERIC Educational Resources Information Center
Rendall, Drew; Vokey, John R.; Nemeth, Christie
2007-01-01
The consistent, but often wrong, impressions people form of the size of unseen speakers are not random but rather point to a consistent misattribution bias, one that the advertising, broadcasting, and entertainment industries also routinely exploit. The authors report 3 experiments examining the perceptual basis of this bias. The results indicate…
Understanding Harry Potter: Parallels to the Deaf World
ERIC Educational Resources Information Center
Czubek, Todd A.; Greenwald, Janey
2005-01-01
Every so often there are stories that take the world by storm and make such an impact that they become part of our everyday world. These stories, characters, and themes become established elements of cultural literacy. This is exactly what has happened with J. K. Rowling's Harry Potter series. Harry and his cohort of wizards, witches, and their…
ERIC Educational Resources Information Center
Mavrikis, Manolis; Gutierrez-Santos, Sergio
2010-01-01
This paper presents a methodology for the design of intelligent learning environments. We recognise that in the educational technology field, theory development and system-design should be integrated and rely on an iterative process that addresses: (a) the difficulty to elicit precise, concise, and operationalized knowledge from "experts" and (b)…
The Effects of Techniques of Vocabulary Portfolio on L2 Vocabulary Learning
ERIC Educational Resources Information Center
Zarei, Abbas Ali; Baftani, Fahimeh Nasiri
2014-01-01
To investigate the effects of different techniques of vocabulary portfolio including word map, word wizard, concept wheel, visual thesaurus, and word rose on L2 vocabulary comprehension and production, a sample of 75 female EFL learners of Kish Day Language Institute in Karaj, Iran were selected. They were in five groups and each group received…
Shipboard Calibration Network Extension Utilizing COTS Products
2014-09-01
to emulate the MCS system console. C. KEYBOARD VIDEO AND MOUSE (KVM) SWITCH A ServSwitch Wizard IP Plus KVM switch is used to allow remote access...9 C. KEYBOARD VIDEO AND MOUSE (KVM) SWITCH .......................... 10 D. ROUTER...mechanical, and electrical KVM Keyboard Video and Mouse LAN Local Area Network MCS Machinery Control Systems NIST National Institute of Standards and
BASINs and WEPP Climate Assessment Tools (CAT): Case ...
EPA announced the release of the final report, BASINs and WEPP Climate Assessment Tools (CAT): Case Study Guide to Potential Applications. This report supports application of two recently developed water modeling tools, the Better Assessment Science Integrating point & Non-point Sources (BASINS) and the Water Erosion Prediction Project Climate Assessment Tool (WEPPCAT). The report presents a series of short case studies designed to illustrate the capabilities of these tools for conducting scenario based assessments of the potential effects of climate change on streamflow and water quality. This report presents a series of short, illustrative case studies using the BASINS and WEPP climate assessment tools.
Transportation Resilience Tools from the U.S. Department of Transportation
NASA Astrophysics Data System (ADS)
Snow, C.; Rodehorst, B.; Miller, R.; Choate, A.; Hyman, R.; Kafalenos, R.; Beucler, B.
2014-12-01
The U.S. Department of Transportation (U.S. DOT) and ICF International have been working to develop tools and resources to help state departments of transportation (DOTs) and metropolitan planning organizations (MPOs) prepare for the impacts of climate change. U.S. DOT recently released a set of climate change and extreme weather tools for state DOTs and MPOs that address key challenges they have faced in increasing their climate change resilience. The tools were developed under the U.S. DOT Gulf Coast Study, Phase 2. The CMIP Climate Data Processing Tool provides an easy way for users to gather and process downscaled climate model data at the local level, and "translates" that data into information relevant to transportation engineers and planners. The Vulnerability Assessment Scoring Tool (VAST), provides a step-by-step approach for users to assess their vulnerability to climate change in a transparent, cost-effective way. The Transportation Climate Change Sensitivity Matrix provides detailed information on how 11 different climate stressors may affect transportation infrastructure and operations. These tools significantly advance the state of the practice for transportation agencies to respond to climate change impacts, and beta-versions have been used successfully by several state DOTs and MPOs. This presentation will focus on these tools, examples of how they can be applied within transportation agencies, and opportunities to apply the lessons learned from the tools—or even the tools themselves—beyond the transportation sector, including as part of the national Climate Resilience Toolkit.
Climate project screening tool: an aid for climate change adaptation
Toni Lyn Morelli; Sharon Yeh; Nikola M. Smith; Mary Beth Hennessy; Constance I. Millar
2012-01-01
To address the impacts of climate change, land managers need techniques for incorporating adaptation into ongoing or impending projects. We present a new tool, the Climate Project Screening Tool (CPST), for integrating climate change considerations into project planning as well as for developing concrete adaptation options for land managers. We designed CPST as part of...
Climate Action Planning Tool | NREL
NREL's Climate Action Planning Tool provides a quick, basic estimate of how various technology options can contribute to an overall climate action plan for your research campus. Use the tool to
Sharing Skills. Hermione Helps--S-P-E-W: Understanding and Creating Acronyms
ERIC Educational Resources Information Center
Stover, Lynne Farrell
2005-01-01
An acronym, a word formed from the first letters of other words, is often used to name products or organizations. For example, when Hermione Granger, a very clever student at Hogwarts School of Witchcraft and Wizardry, is enraged over the wizarding world's treatment of house-elves, she creates an organization to help put an end to this injustice.…
ERIC Educational Resources Information Center
Fine, Michelle
2013-01-01
Information about the MIT Media Lab PLATFORM, a Summit of Innovators, is presented. This Summit was comprised of engineers, computer scientists, coders, activists, designers, and technology wizards, a gathering of people of color who have been remarkably successful, provocative, and creative against the odds. The event enabled the author and other…
ERIC Educational Resources Information Center
Sprenger, Marilee B.
This book uses an analogy of "The Wizard of Oz" to offer information about cognitive research, sharing simple tactics for implementing these ideas in the classroom. The book discusses expert findings about brain growth, structure, and functions to help teachers and administrators foster a love of learning in all students. Key features…
How To... Get Creative with WordArt
ERIC Educational Resources Information Center
Lindroth, Linda
2004-01-01
WordArt is a wizard feature in MS Word that changes text into a graphic object. It is located in the MS Word menu bar: Insert, Picture, WordArt. Text can be edited to create a multitude of special effects--all with very little, if any, graphic arts training. WordArt is perfect for word processing writing, allowing even primary students to create…
Harry Potter as a Context for Problem Based-Learning
ERIC Educational Resources Information Center
Beaton, M.J.
2004-01-01
Reading Harry Potter aloud to the class one autumn sparked the students imaginations and also the authors'. As a result, that semester the author designed and taught a thematic unit based on Harry Potter. The students were able to identify with the 11-year old wizard and his adventures in a strange new world. In mathematics, language arts, and…
Water Wizards: School Program on Water Conservation for Third and Fourth Grade Levels.
ERIC Educational Resources Information Center
Massachusetts State Water Resources Authority, Boston.
Water is precious. It is also easy to take for granted. Many people recognize that water is scarce in desert areas. but it is harder to realize that places like Massachusetts could face a shortage of pure drinking water. This manual provides teachers with curriculum resources to introduce concepts of water supply and water conservation to third…
Mitochondrial poly(ADP-ribose) polymerase: The Wizard of Oz at work.
Brunyanszki, Attila; Szczesny, Bartosz; Virág, László; Szabo, Csaba
2016-11-01
Among multiple members of the poly(ADP-ribose) polymerase (PARP) family, PARP1 accounts for the majority of PARP activity in mammalian cells. Although PARP1 is predominantly localized to the nucleus, and its nuclear regulatory roles are most commonly studied and are the best characterized, several lines of data demonstrate that PARP1 is also present in the mitochondria, and suggest that mitochondrial PARP (mtPARP) plays an important role in the regulation of various cellular functions in health and disease. The goal of the current article is to review the experimental evidence for the mitochondrial localization of PARP1 and its intra-mitochondrial functions, with focus on cellular bioenergetics, mitochondrial DNA repair and mitochondrial dysfunction. In addition, we also propose a working model for the interaction of mitochondrial and nuclear PARP during oxidant-induced cell death. MtPARP is similar to the Wizard of Oz in the sense that it is enigmatic, it has been elusive for a long time and it remains difficult to be interrogated. mtPARP - at least in some cell types - works incessantly "behind the curtains" as an orchestrator of many important cellular functions. Copyright © 2016 Elsevier Inc. All rights reserved.
Identifying Decision Support Tools to Bridge Climate and Agricultural Needs in the Midwest
NASA Astrophysics Data System (ADS)
Hall, B. L.; Kluck, D. R.; Hatfield, J.; Black, C.; Kellner, O.; Woloszyn, M.; Timlin, M. S.
2015-12-01
Climate monitoring tools designed to help stakeholders reduce climate impacts have been developed for the primary Midwest field crops of corn and soybean. However, the region also produces vital livestock and specialty crops that currently lack similar climate monitoring and projection tools. In autumn 2015, the National Oceanic and Atmospheric Administration's (NOAA's) National Integrated Drought Information System (NIDIS) and Midwestern Regional Climate Center (MRCC) partnered with the US Department of Agriculture's Midwest Climate Hub to convene agriculture stakeholders, climate scientists, and climate service specialists to discuss climate impacts and needs for these two, often under-represented, sectors. The goals of this workshop were to (1) identify climate impacts that specialty crops and livestock producers face within the Midwest, (2) develop an understanding of the types of climate and weather information and tools currently available in the Midwest that could be applied to decision making, and (3) discover the types of climate and weather information and tools needed to address concerns of specialty crop and livestock commodities across the Midwest. This presentation will discuss the workshop and provide highlights of the outcomes that developed into strategic plans for the future to better serve these sectors of agriculture in the Midwest.
CCDST: A free Canadian climate data scraping tool
NASA Astrophysics Data System (ADS)
Bonifacio, Charmaine; Barchyn, Thomas E.; Hugenholtz, Chris H.; Kienzle, Stefan W.
2015-02-01
In this paper we present a new software tool that automatically fetches, downloads and consolidates climate data from a Web database where the data are contained on multiple Web pages. The tool is called the Canadian Climate Data Scraping Tool (CCDST) and was developed to enhance access and simplify analysis of climate data from Canada's National Climate Data and Information Archive (NCDIA). The CCDST deconstructs a URL for a particular climate station in the NCDIA and then iteratively modifies the date parameters to download large volumes of data, remove individual file headers, and merge data files into one output file. This automated sequence enhances access to climate data by substantially reducing the time needed to manually download data from multiple Web pages. To this end, we present a case study of the temporal dynamics of blowing snow events that resulted in ~3.1 weeks time savings. Without the CCDST, the time involved in manually downloading climate data limits access and restrains researchers and students from exploring climate trends. The tool is coded as a Microsoft Excel macro and is available to researchers and students for free. The main concept and structure of the tool can be modified for other Web databases hosting geophysical data.
The IS-ENES climate4impact portal: bridging the CMIP5 and CORDEX data to impact users
NASA Astrophysics Data System (ADS)
Som de Cerff, Wim; Plieger, Maarten; Page, Christian; Tatarinova, Natalia; Hutjes, Ronald; de Jong, Fokke; Bärring, Lars; Sjökvist, Elin; Vega Saldarriaga, Manuel; Santiago Cofiño Gonzalez, Antonio
2015-04-01
The aim of climate4impact (climate4impact.eu) is to enhance the use of Climate Research Data and to enhance the interaction with climate effect/impact communities. The portal is based on 17 impact use cases from 5 different European countries, and is evaluated by a user panel consisting of use case owners. It has been developed within the IS-ENES European project and is currently operated and further developed in the IS ENES2 project. As the climate impact community is very broad, the focus is mainly on the scientific impact community. Climate4impact is connected to the Earth System Grid Federation (ESGF) nodes containing global climate model data (GCM data) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) and regional climate model data (RCM) data from the Coordinated Regional Climate Downscaling Experiment (CORDEX). This global network of climate model data centers offers services for data description, discovery and download. The climate4impact portal connects to these services using OpenID, and offers a user interface for searching, visualizing and downloading global climate model data and more. A challenging task is to describe the available model data and how it can be used. The portal informs users about possible caveats when using climate model data. All impact use cases are described in the documentation section, using highlighted keywords pointing to detailed information in the glossary. Climate4impact currently has two main objectives. The first one is to work on a web interface which automatically generates a graphical user interface on WPS endpoints. The WPS calculates climate indices and subset data using OpenClimateGIS/icclim on data stored in ESGF data nodes. Data is then transmitted from ESGF nodes over secured OpenDAP and becomes available in a new, per user, secured OpenDAP server. The results can then be visualized again using ADAGUC WMS. Dedicated wizards for processing of climate indices will be developed in close collaboration with users. The second one is to expose climate4impact services, so as to offer standardized services which can be used by other portals (like the future Copernicus platform, developed in the EU FP7 CLIPC project). This has the advantage to add interoperability between several portals, as well as to enable the design of specific portals aimed at different impact communities, either thematic or national. In the presentation the following subjects will be detailed: - Lessons learned developing climate4impact.eu - Download: Directly from ESGF nodes and other THREDDS catalogs - Connection with the downscaling portal of the university of Cantabria - Experiences on the question and answer site via Askbot - Visualization: Visualize data from ESGF data nodes using ADAGUC Web Map Services. - Processing: Transform data, subset, export into other formats, and perform climate indices calculations using Web Processing Services implemented by PyWPS, based on NCAR NCPP OpenClimateGIS and IS-ENES2 icclim. - Security: Login using OpenID for access to the ESGF data nodes. The ESGF works in conjunction with several external websites and systems. The climate4impact portal uses X509 based short lived credentials, generated on behalf of the user with a MyProxy service. Single Sign-on (SSO) is used to make these websites and systems work together. - Discovery: Facetted search based on e.g. variable name, model and institute using the ESGF search services. A catalog browser allows for browsing through CMIP5 and any other climate model data catalogues (e.g. ESSENCE, EOBS, UNIDATA).
A New Climate Adjustment Tool: An update to EPA’s Storm Water Management Model
The US EPA’s newest tool, the Stormwater Management Model (SWMM) – Climate Adjustment Tool (CAT) is meant to help municipal stormwater utilities better address potential climate change impacts affecting their operations.
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.
Kumar, Sudhir; Stecher, Glen; Tamura, Koichiro
2016-07-01
We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge. © The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Dakota Graphical User Interface v. 1.0
DOE Office of Scientific and Technical Information (OSTI.GOV)
Friedman-Hill, Ernest; Glickman, Matthew; Gibson, Marcus
Graphical analysis environment for Sandia’s Dakota software for optimization and uncertainty quantification. The Dakota GUI is an interactive graphical analysis environment for creating, running, and interpreting Dakota optimization and uncertainty quantification studies. It includes problem (Dakota study) set-up, option specification, simulation interfacing, analysis execution, and results visualization. Through the use of wizards, templates, and views, Dakota GUI helps uses navigate Dakota’s complex capability landscape.
Moving On/Keeping Pace: Youth's Literate Identities and Multimodal Digital Texts
ERIC Educational Resources Information Center
Alvermann, Donna E.
2011-01-01
"We're not in Kansas anymore, Toto"--a statement Dorothy made to her dog, Toto, in "The Wizard of Oz"--sums up reasonably well the point the author wants to make in this article. That is, as literacy educators no longer constrained (or protected) by older, more familiar 20th-century print-centric modes of communicating, educators may at times feel…
Building Identification Wizard: Version 1.5.1
2018-04-01
35 6.1 Exporting to a web or PDF File...applications. Users also have access to other WCP reports from regions of interest that are formatted as HTML and are viewable in any web browser. The WCP...feature, shown in Figure 23, checks for updates on the WCP web server by comparing a byte count of the contents of the files that are installed on
A Major Fan of Oz, but Not a Cowardly Lion
ERIC Educational Resources Information Center
Goldman, Jay P.
2004-01-01
The nooks and crannies in the office of Bill McNeal, superintendent in Wake County, NC, suggest the occupant is one wildly enthusiastic follower of The Wizard of Oz. It is chock full of memorabilia of Dorothy Gale, the Tin Man, the Scarecrow and the Cowardly Lion, a carousel of the Emerald City and various books on the subject--most of the items…
ERIC Educational Resources Information Center
Massaro, Dominic W.; Bosseler, Alexis
2006-01-01
A computer-animated tutor, Baldi, has been successful in teaching vocabulary and grammar to children with autism and those with hearing problems. The present study assessed to what extent the face facilitated this learning process relative to the voice alone. Baldi was implemented in a Language Wizard/Tutor, which allows easy creation and…
A Change Is Gonna Come: Bloggers "Google Bomb" Veiled Hate Site
ERIC Educational Resources Information Center
Barack, Lauren
2007-01-01
Keying in the search term "Martin Luther King" on Google would result in retrieving martinlutherking.com as the topmost hit. At first glance, it seems like a neutral informational site, but clicking on a few articles will unmask the hate. This site, which is owned by Don Black, a former Grand Wizard of the Ku Klux Klan, references King as a…
Defense AT&L. November-December 2010
2010-12-01
musician , actor, dancer, or wizard. Whether the hero is a young hopeful or a washed-up has-been, he or she...Acquisition Projects Bryan Felkoski and Rob Malone The Army’s Chemical Materials Agency has developed a successful risk-based scheduling process for...Pillsbury talks about how AMC develops , delivers, and sustains materiel to ensure a dominant joint force for the U.S. and our allies, and how
Wanting It: Acquisition Lessons from Cheesy Cinema
2010-12-01
musician , actor, dancer, or wizard. Whether the hero is a young hopeful or a washed-up has-been, he or she inevitably...featuring a series of attractively lit, picturesque settings, accompanied by stirring music . But before the training montage can begin, there is always...we reaching for? Such a simple question, so many possible answers. Let’s consider a few, shall we? CUE STIRRING MUSIC Does the defense
Among Demons and Wizards: The Nuclear Energy Discourse in Sweden and the Re-Enchantment of the World
ERIC Educational Resources Information Center
Anshelm, Jonas
2010-01-01
In 1956, the Swedish Parliament decided to invest in a national nuclear energy program. The decision rested on the conviction that it would be in the interest of the nation to use the assets of natural uranium, the advanced reactor technology, and the expertise on nuclear physics that the country had at its disposal. Since the decision concerned…
Storm Water Management Model Climate Adjustment Tool (SWMM-CAT)
The US EPA’s newest tool, the Stormwater Management Model (SWMM) – Climate Adjustment Tool (CAT) is meant to help municipal stormwater utilities better address potential climate change impacts affecting their operations. SWMM, first released in 1971, models hydrology and hydrauli...
Agroclimate.Org: Tools and Information for a Climate Resilient Agriculture in the Southeast USA
NASA Astrophysics Data System (ADS)
Fraisse, C.
2014-12-01
AgroClimate (http://agroclimate.org) is a web-based system developed to help the agricultural industry in the southeastern USA reduce risks associated with climate variability and change. It includes climate related information and dynamic application tools that interact with a climate and crop database system. Information available includes climate monitoring and forecasts combined with information about crop management practices that help increase the resiliency of the agricultural industry in the region. Recently we have included smartphone apps in the AgroClimate suite of tools, including irrigation management and crop disease alert systems. Decision support tools available in AgroClimate include: (a) Climate risk: expected (probabilistic) and historical climate information and freeze risk; (b) Crop yield risk: expected yield based on soil type, planting date, and basic management practices for selected commodities and historical county yield databases; (c) Crop diseases: disease risk monitoring and forecasting for strawberry and citrus; (d) Crop development: monitoring and forecasting of growing degree-days and chill accumulation; (e) Drought: monitoring and forecasting of selected drought indices, (f) Footprints: Carbon and water footprint calculators. The system also provides background information about the main drivers of climate variability and basic information about climate change in the Southeast USA. AgroClimate has been widely used as an educational tool by the Cooperative Extension Services in the region and also by producers. It is now being replicated internationally with version implemented in Mozambique and Paraguay.
BASINS Climate Assessment Tool Tutorials
The BASINS Climate Assessment Tool (CAT) provides a flexible set of capabilities for exploring the potential effects of climate change on streamflow and water quality using different watershed models in BASINS.
Deep Learning for Lowtextured Image Matching
NASA Astrophysics Data System (ADS)
Kniaz, V. V.; Fedorenko, V. V.; Fomin, N. A.
2018-05-01
Low-textured objects pose challenges for an automatic 3D model reconstruction. Such objects are common in archeological applications of photogrammetry. Most of the common feature point descriptors fail to match local patches in featureless regions of an object. Hence, automatic documentation of the archeological process using Structure from Motion (SfM) methods is challenging. Nevertheless, such documentation is possible with the aid of a human operator. Deep learning-based descriptors have outperformed most of common feature point descriptors recently. This paper is focused on the development of a new Wide Image Zone Adaptive Robust feature Descriptor (WIZARD) based on the deep learning. We use a convolutional auto-encoder to compress discriminative features of a local path into a descriptor code. We build a codebook to perform point matching on multiple images. The matching is performed using the nearest neighbor search and a modified voting algorithm. We present a new "Multi-view Amphora" (Amphora) dataset for evaluation of point matching algorithms. The dataset includes images of an Ancient Greek vase found at Taman Peninsula in Southern Russia. The dataset provides color images, a ground truth 3D model, and a ground truth optical flow. We evaluated the WIZARD descriptor on the "Amphora" dataset to show that it outperforms the SIFT and SURF descriptors on the complex patch pairs.
A climate responsive urban design tool: a platform to improve energy efficiency in a dry hot climate
NASA Astrophysics Data System (ADS)
El Dallal, Norhan; Visser, Florentine
2017-09-01
In the Middle East and North Africa (MENA) region, new urban developments should address the climatic conditions to improve outdoor comfort and to reduce the energy consumption of buildings. This article describes a design tool that supports climate responsive design for a dry hot climate. The approach takes the climate as an initiator for the conceptual urban form with a more energy-efficient urban morphology. The methodology relates the different passive strategies suitable for major climate conditions in MENA region (dry-hot) to design parameters that create the urban form. This parametric design approach is the basis for a tool that generates conceptual climate responsive urban forms so as to assist the urban designer early in the design process. Various conceptual scenarios, generated by a computational model, are the results of the proposed platform. A practical application of the approach is conducted on a New Urban Community in Aswan (Egypt), showing the economic feasibility of the resulting urban form and morphology, and the proposed tool.
Subaqueous geology and a filling model for Crater Lake, Oregon
Nathenson, M.; Bacon, C.R.; Ramsey, D.W.
2007-01-01
Results of a detailed bathymetric survey of Crater Lake conducted in 2000, combined with previous results of submersible and dredge sampling, form the basis for a geologic map of the lake floor and a model for the filling of Crater Lake with water. The most prominent landforms beneath the surface of Crater Lake are andesite volcanoes that were active as the lake was filling with water, following caldera collapse during the climactic eruption of Mount Mazama 7700 cal. yr B.P. The Wizard Island volcano is the largest and probably was active longest, ceasing eruptions when the lake was 80 m lower than present. East of Wizard Island is the central platform volcano and related lava flow fields on the caldera floor. Merriam Cone is a symmetrical andesitic volcano that apparently was constructed subaqueously during the same period as the Wizard Island and central platform volcanoes. The youngest postcaldera volcanic feature is a small rhyodacite dome on the east flank of the Wizard Island edifice that dates from 4800 cal. yr B.P. The bathymetry also yields information on bedrock outcrops and talus/debris slopes of the caldera walls. Gravity flows transport sediment from wall sources to the deep basins of the lake. Several debris-avalanche deposits, containing blocks up to 280 m long, are present on the caldera floor and occur below major embayments in the caldera walls. Geothermal phenomena on the lake floor are bacterial mats, pools of solute-rich warm water, and fossil subaqueous hot spring deposits. Lake level is maintained by a balance between precipitation and inflow versus evaporation and leakage. High-resolution bathymetry reveals a series of up to nine drowned beaches in the upper 30 m of the lake that we propose reflect stillstands subsequent to filling of Crater Lake. A prominent wave-cut platform between 4 m depth and present lake level that commonly is up to 40 m wide suggests that the surface of Crater Lake has been at this elevation for a very long time. Lake level apparently is limited by leakage through a permeable layer in the northeast caldera wall. The deepest drowned beach approximately corresponds to the base of the permeable layer. Among a group of lake filling models, our preferred one is constrained by the drowned beaches, the permeable layer in the caldera wall, and paleoclimatic data. We used a precipitation rate 70% of modern as a limiting case. Satisfactory models require leakage to be proportional to elevation and the best fit model has a linear combination of 45% leakage proportional to elevation and 55% of leakage proportional to elevation above the base of the permeable layer. At modern precipitation rates, the lake would have taken 420 yr to fill, or a maximum of 740 yr if precipitation was 70% of the modern value. The filling model provides a chronology for prehistoric passage zones on postcaldera volcanoes that ceased erupting before the lake was filled. ?? 2007 Springer Science+Business Media B.V.
USDA-ARS?s Scientific Manuscript database
Farms both produce greenhouse gas emissions that drive human-induced climate change and are impacted by that climate change. Whole farm and global climate models provide useful tools for studying the benefits and costs of greenhouse gas mitigation and the adaptation of farms to changing climate. The...
Exploratory Climate Data Visualization and Analysis Using DV3D and UVCDAT
NASA Technical Reports Server (NTRS)
Maxwell, Thomas
2012-01-01
Earth system scientists are being inundated by an explosion of data generated by ever-increasing resolution in both global models and remote sensors. Advanced tools for accessing, analyzing, and visualizing very large and complex climate data are required to maintain rapid progress in Earth system research. To meet this need, NASA, in collaboration with the Ultra-scale Visualization Climate Data Analysis Tools (UVCOAT) consortium, is developing exploratory climate data analysis and visualization tools which provide data analysis capabilities for the Earth System Grid (ESG). This paper describes DV3D, a UV-COAT package that enables exploratory analysis of climate simulation and observation datasets. OV3D provides user-friendly interfaces for visualization and analysis of climate data at a level appropriate for scientists. It features workflow inte rfaces, interactive 40 data exploration, hyperwall and stereo visualization, automated provenance generation, and parallel task execution. DV30's integration with CDAT's climate data management system (COMS) and other climate data analysis tools provides a wide range of high performance climate data analysis operations. DV3D expands the scientists' toolbox by incorporating a suite of rich new exploratory visualization and analysis methods for addressing the complexity of climate datasets.
Instrument Modeling and Synthesis
NASA Astrophysics Data System (ADS)
Horner, Andrew B.; Beauchamp, James W.
During the 1970s and 1980s, before synthesizers based on direct sampling of musical sounds became popular, replicating musical instruments using frequency modulation (FM) or wavetable synthesis was one of the “holy grails” of music synthesis. Synthesizers such as the Yamaha DX7 allowed users great flexibility in mixing and matching sounds, but were notoriously difficult to coerce into producing sounds like those of a given instrument. Instrument design wizards practiced the mysteries of FM instrument design.
2004-11-01
institutionalized approaches to solving problems, company/client specific mission priorities (for example, State Department vs . Army Reserve and... independent variables that let the user leave a particular step before fin- ishing all the items, and to return at a later time without any data loss. One...Sales, Main Exchange, Miscellane- ous Shops, Post Office, Restaurant , and Theater.) Authorized customers served 04 Other criteria pro- vided by the
HydroClimATe: hydrologic and climatic analysis toolkit
Dickinson, Jesse; Hanson, Randall T.; Predmore, Steven K.
2014-01-01
The potential consequences of climate variability and climate change have been identified as major issues for the sustainability and availability of the worldwide water resources. Unlike global climate change, climate variability represents deviations from the long-term state of the climate over periods of a few years to several decades. Currently, rich hydrologic time-series data are available, but the combination of data preparation and statistical methods developed by the U.S. Geological Survey as part of the Groundwater Resources Program is relatively unavailable to hydrologists and engineers who could benefit from estimates of climate variability and its effects on periodic recharge and water-resource availability. This report documents HydroClimATe, a computer program for assessing the relations between variable climatic and hydrologic time-series data. HydroClimATe was developed for a Windows operating system. The software includes statistical tools for (1) time-series preprocessing, (2) spectral analysis, (3) spatial and temporal analysis, (4) correlation analysis, and (5) projections. The time-series preprocessing tools include spline fitting, standardization using a normal or gamma distribution, and transformation by a cumulative departure. The spectral analysis tools include discrete Fourier transform, maximum entropy method, and singular spectrum analysis. The spatial and temporal analysis tool is empirical orthogonal function analysis. The correlation analysis tools are linear regression and lag correlation. The projection tools include autoregressive time-series modeling and generation of many realizations. These tools are demonstrated in four examples that use stream-flow discharge data, groundwater-level records, gridded time series of precipitation data, and the Multivariate ENSO Index.
Collaboration pathway(s) using new tools for optimizing operational climate monitoring from space
NASA Astrophysics Data System (ADS)
Helmuth, Douglas B.; Selva, Daniel; Dwyer, Morgan M.
2014-10-01
Consistently collecting the earth's climate signatures remains a priority for world governments and international scientific organizations. Architecting a solution requires transforming scientific missions into an optimized robust `operational' constellation that addresses the needs of decision makers, scientific investigators and global users for trusted data. The application of new tools offers pathways for global architecture collaboration. Recent (2014) rulebased decision engine modeling runs that targeted optimizing the intended NPOESS architecture, becomes a surrogate for global operational climate monitoring architecture(s). This rule-based systems tools provide valuable insight for Global climate architectures, through the comparison and evaluation of alternatives considered and the exhaustive range of trade space explored. A representative optimization of Global ECV's (essential climate variables) climate monitoring architecture(s) is explored and described in some detail with thoughts on appropriate rule-based valuations. The optimization tools(s) suggest and support global collaboration pathways and hopefully elicit responses from the audience and climate science shareholders.
Linking climate change and fish conservation efforts using spatially explicit decision support tools
Douglas P. Peterson; Seth J. Wenger; Bruce E. Rieman; Daniel J. Isaak
2013-01-01
Fisheries professionals are increasingly tasked with incorporating climate change projections into their decisions. Here we demonstrate how a structured decision framework, coupled with analytical tools and spatial data sets, can help integrate climate and biological information to evaluate management alternatives. We present examples that link downscaled climate...
Alsalem, Gheed; Bowie, Paul; Morrison, Jillian
2018-05-10
The perceived importance of safety culture in improving patient safety and its impact on patient outcomes has led to a growing interest in the assessment of safety climate in healthcare organizations; however, the rigour with which safety climate tools were developed and psychometrically tested was shown to be variable. This paper aims to identify and review questionnaire studies designed to measure safety climate in acute hospital settings, in order to assess the adequacy of reported psychometric properties of identified tools. A systematic review of published empirical literature was undertaken to examine sample characteristics and instrument details including safety climate dimensions, origin and theoretical basis, and extent of psychometric evaluation (content validity, criterion validity, construct validity and internal reliability). Five questionnaire tools, designed for general evaluation of safety climate in acute hospital settings, were included. Detailed inspection revealed ambiguity around concepts of safety culture and climate, safety climate dimensions and the methodological rigour associated with the design of these measures. Standard reporting of the psychometric properties of developed questionnaires was variable, although evidence of an improving trend in the quality of the reported psychometric properties of studies was noted. Evidence of the theoretical underpinnings of climate tools was limited, while a lack of clarity in the relationship between safety culture and patient outcome measures still exists. Evidence of the adequacy of the psychometric development of safety climate questionnaire tools is still limited. Research is necessary to resolve the controversies in the definitions and dimensions of safety culture and climate in healthcare and identify related inconsistencies. More importance should be given to the appropriate validation of safety climate questionnaires before extending their usage in healthcare contexts different from those in which they were originally developed. Mixed methods research to understand why psychometric assessment and measurement reporting practices can be inadequate and lacking in a theoretical basis is also necessary.
The climate4impact portal: bridging the CMIP5 and CORDEX data infrastructure to impact users
NASA Astrophysics Data System (ADS)
Plieger, Maarten; Som de Cerff, Wim; Pagé, Christian; Tatarinova, Natalia; Cofiño, Antonio; Vega Saldarriaga, Manuel; Hutjes, Ronald; de Jong, Fokke; Bärring, Lars; Sjökvist, Elin
2015-04-01
The aim of climate4impact is to enhance the use of Climate Research Data and to enhance the interaction with climate effect/impact communities. The portal is based on 21 impact use cases from 5 different European countries, and is evaluated by a user panel consisting of use case owners. It has been developed within the European projects IS-ENES and IS-ENES2 for more than 5 years, and its development currently continues within IS-ENES2 and CLIPC. As the climate impact community is very broad, the focus is mainly on the scientific impact community. This work has resulted in the ENES portal interface for climate impact communities and can be visited at www.climate4impact.eu. The climate4impact is connected to the Earth System Grid Federation (ESGF) nodes containing global climate model data (GCM data) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) and regional climate model data (RCM) data from the Coordinated Regional Climate Downscaling Experiment (CORDEX). This global network of climate model data centers offers services for data description, discovery and download. The climate4impact portal connects to these services using OpenID, and offers a user interface for searching, visualizing and downloading global climate model data and more. A challenging task was to describe the available model data and how it can be used. The portal tries to inform users about possible caveats when using climate model data. All impact use cases are described in the documentation section, using highlighted keywords pointing to detailed information in the glossary. During the project, the content management system Drupal was used to enable partners to contribute on the documentation section. In this presentation the architecture and following items will be detailed: - Visualization: Visualize data from ESGF data nodes using ADAGUC Web Map Services. - Processing: Transform data, subset, export into other formats, and perform climate indices calculations using Web Processing Services implemented by PyWPS, based on NCAR NCPP OpenClimateGIS and IS-ENES2 icclim. - Security: Login using OpenID for access to the ESGF data nodes. The ESGF works in conjunction with several external websites and systems. The climate4impact portal uses X509 based short lived credentials, generated on behalf of the user with a MyProxy service. Single Sign-on (SSO) is used to make these websites and systems work together. - Discovery: Facetted search based on e.g. variable name, model and institute using the ESGF search services. A catalog browser allows for browsing through CMIP5 and any other climate model data catalogues (e.g. ESSENCE, EOBS, UNIDATA). - Download: Directly from ESGF nodes and other THREDDS catalogs This architecture will also be used for the future Copernicus platform, developed in the EU FP7 CLIPC project. - Connection with the downscaling portal of the university of Cantabria - Experiences on the question and answer site via Askbot The current main objectives for climate4impact can be summarized in two objectives. The first one is to work on a web interface which automatically generates a graphical user interface on WPS endpoints. The WPS calculates climate indices and subset data using OpenClimateGIS/icclim on data stored in ESGF data nodes. Data is then transmitted from ESGF nodes over secured OpenDAP and becomes available in a new, per user, secured OpenDAP server. The results can then be visualized again using ADAGUC WMS. Dedicated wizards for processing of climate indices will be developed in close collaboration with users. The second one is to expose climate4impact services, so as to offer standardized services which can be used by other portals. This has the advantage to add interoperability between several portals, as well as to enable the design of specific portals aimed at different impact communities, either thematic or national, for example.
This draft report supports application of two recently developed water modeling tools, the BASINS and WEPP climate assessment tools. The report presents a series of short case studies designed to illustrate the capabilities of these tools for conducting scenario based assessments...
Enabling Research Tools for Sustained Climate Assessment
NASA Technical Reports Server (NTRS)
Leidner, Allison K.; Bosilovich, Michael G.; Jasinski, Michael F.; Nemani, Ramakrishna R.; Waliser, Duane Edward; Lee, Tsengdar J.
2016-01-01
The U.S. Global Change Research Program Sustained Assessment process benefits from long-term investments in Earth science research that enable the scientific community to conduct assessment-relevant science. To this end, NASA initiated several research programs over the past five years to support the Earth observation community in developing indicators, datasets, research products, and tools to support ongoing and future National Climate Assessments. These activities complement NASA's ongoing Earth science research programs. One aspect of the assessment portfolio funds four "enabling tools" projects at NASA research centers. Each tool leverages existing capacity within the center, but has developed tailored applications and products for National Climate Assessments. The four projects build on the capabilities of a global atmospheric reanalysis (MERRA-2), a continental U.S. land surface reanalysis (NCA-LDAS), the NASA Earth Exchange (NEX), and a Regional Climate Model Evaluation System (RCMES). Here, we provide a brief overview of each enabling tool, highlighting the ways in which it has advanced assessment science to date. We also discuss how the assessment community can access and utilize these tools for National Climate Assessments and other sustained assessment activities.
NASA Astrophysics Data System (ADS)
Rice, J.; Joyce, L. A.; Armel, B.; Bevenger, G.; Zubic, R.
2011-12-01
Climate change introduces a significant challenge for land managers and decision makers managing the natural resources that provide many benefits from forests. These benefits include water for urban and agricultural uses, wildlife habitat, erosion and climate control, aquifer recharge, stream flows regulation, water temperature regulation, and cultural services such as outdoor recreation and aesthetic enjoyment. The Forest Service has responded to this challenge by developing a national strategy for responding to climate change (the National Roadmap for Responding to Climate Change, July 2010). In concert with this national strategy, the Forest Service's Westwide Climate Initiative has conducted 4 case studies on individual Forests in the western U.S to develop climate adaptation tools. Western National Forests are particularly vulnerable to climate change as they have high-mountain topography, diversity in climate and vegetation, large areas of water limited ecosystems, and increasing urbanization. Information about the vulnerability and capacity of resources to adapt to climate change and extremes is lacking. There is an urgent need to provide customized tools and synthesized local scale information about the impacts to resources from future climate change and extremes, as well as develop science based adaptation options and strategies in National Forest management and planning. The case study on the Shoshone National Forest has aligned its objectives with management needs by developing a climate extreme vulnerability tool that guides adaptation options development. The vulnerability tool determines the likely degree to which native Yellowstone cutthroat trout and water availability are susceptible to, or unable to cope with adverse effects of climate change extremes. We spatially categorize vulnerability for water and native trout resources using exposure, sensitivity, and adaptive capacity indicators that use minimum and maximum climate and GIS data. Results show that the vulnerability of water availability may increase in areas that have less storage and become more dominated by rain instead of snow. Native trout habitat was found to improve in some areas from warmer temperatures suggesting future refugia habitat may need to be a focus of conservation efforts. The climate extreme vulnerability tool provides Forest Service resource managers science based information that guides adaptation strategy development; prioritize conservation projects; guides monitoring efforts, and helps promote more resilient ecosystems undergoing the effects of climate change.
Detecting Hardware-assisted Hypervisor Rootkits within Nested Virtualized Environments
2012-06-14
least the minimum required for the guest OS and click “Next”. For 64-bit Windows 7 the minimum required is 2048 MB (Figure 66). Figure 66. Memory...prompted for Memory, allocate at least the minimum required for the guest OS, for 64-bit Windows 7 the minimum required is 2048 MB (Figure 79...130 21. Within the virtual disk creation wizard, select VDI for the file type (Figure 81). Figure 81. Select File Type 22. Select Dynamically
Wizards of Chaos and Order: A Theory of the Origins, Practice, And Future of Operational Art.
1999-05-27
determine how the nature of warfare changed to reflect the world changes brought on by the Industrial Revolution . This monograph challenges the commonly...held belief that the Industrial Revolution was the catalyst for the operational art. This monograph argues that the development of operational art was...to establish this point this monograph examines the campaigns of Napoleon and Wellington at the beginning of the Industrial Revolution to reveal that
Doubé, Wendy; Carding, Paul; Flanagan, Kieran; Kaufman, Jordy; Armitage, Hannah
2018-01-01
Children with speech sound disorders benefit from feedback about the accuracy of sounds they make. Home practice can reinforce feedback received from speech pathologists. Games in mobile device applications could encourage home practice, but those currently available are of limited value because they are unlikely to elaborate "Correct"/"Incorrect" feedback with information that can assist in improving the accuracy of the sound. This protocol proposes a "Wizard of Oz" experiment that aims to provide evidence for the provision of effective multimedia feedback for speech sound development. Children with two common speech sound disorders will play a game on a mobile device and make speech sounds when prompted by the game. A human "Wizard" will provide feedback on the accuracy of the sound but the children will perceive the feedback as coming from the game. Groups of 30 young children will be randomly allocated to one of five conditions: four types of feedback and a control which does not play the game. The results of this experiment will inform not only speech sound therapy, but also other types of language learning, both in general, and in multimedia applications. This experiment is a cost-effective precursor to the development of a mobile application that employs pedagogically and clinically sound processes for speech development in young children.
A De Novo Tool to Measure the Preclinical Learning Climate of Medical Faculties in Turkey
ERIC Educational Resources Information Center
Yilmaz, Nilufer Demiral; Velipasaoglu, Serpil; Sahin, Hatice; Basusta, Bilge Uzun; Midik, Ozlem; Coskun, Ozlem; Budakoglu, Isil Irem; Mamakli, Sumer; Tengiz, Funda Ifakat; Durak, Halil Ibrahim; Ozan, Sema
2015-01-01
Although several scales are used to measure general and clinical learning climates, there are no scales that assess the preclinical learning climate. Therefore, the purpose of this study was to develop an effective measurement tool in order to assess the preclinical learning climate. In this cross-sectional study, data were collected from 3,540…
Climate-Smart Seedlot Selection Tool: Reforestation and Restoration for the 21st Century
NASA Astrophysics Data System (ADS)
Stevenson-Molnar, N.; Howe, G.; St Clair, B.; Bachelet, D. M.; Ward, B. C.
2017-12-01
Local populations of trees are generally adapted to their local climates. Historically, this has meant that local seed zones based on geography and elevation have been used to guide restoration and reforestation. In the face of climate change, seeds from local sources will likely be subjected to climates significantly different from those to which they are currently adapted. The Seedlot Selection Tool (SST) offers a new approach for matching seed sources with planting sites based on future climate scenarios. The SST is a mapping program designed for forest managers and researchers. Users can use the tool to to find seedlots for a given planting site, or to find potential planting sites for a given seedlot. Users select a location (seedlot or planting site), climate scenarios (a climate to which seeds are adapted, and a current or future climate scenario), climate variables, and transfer limits (the maximum climatic distance that is considered a suitable match). Transfer limits are provided by the user, or derived from the range of values within a geographically defined seed zone. The tool calculates scores across the landscape based on an area's similarity, in a multivariate climate space, to the input. Users can explore results on an interactive map, and export PDF and PowerPoint reports, including a map of the results along with the inputs used. Planned future improvements include support for non-forest use cases and ability to download results as GeoTIFF data. The Seedlot Selection Tool and its source code are available online at https://seedlotselectiontool.org. It is co-developed by the United States Forest Service, Oregon State University, and the Conservation Biology Institute.
Building Training Curricula for Accelerating the Use of NOAA Climate Products and Tools
NASA Astrophysics Data System (ADS)
Timofeyeva-Livezey, M. M.; Meyers, J. C.; Stevermer, A.; Abshire, W. E.; Beller-Simms, N.; Herring, D.
2016-12-01
The National Oceanic and Atmospheric Administration (NOAA) plays a leading role in U.S. intergovernmental efforts on the Climate Data Initiative and the Climate Resilience Toolkit (CRT). CRT (http://toolkit.climate.gov/) is a valuable resource that provides tools, information, and subject matter expertise to decision makers in various sectors, such as agriculture, water resources and transportation, to help them build resilience to our changing climate. In order to make best use of the toolkit and all the resources within it, a training component is critical. The training section helps building users' understanding of the data, science, and impacts of climate variability and change. CRT identifies five steps in building resilience that includes use of appropriate tools to support decision makers depending on their needs. One tool that can be potentially integrated into CRT is NOAA's Local Climate Analysis Tool (LCAT), which provides access to trusted NOAA data and scientifically-sound analysis techniques for doing regional and local climate studies on climate variability and climate change. However, in order for LCAT to be used effectively, we have found an iterative learning approach using specific examples to train users. For example, for LCAT application in analysis of water resources, we use existing CRT case studies for Arizona and Florida water supply users. The Florida example demonstrates primary sensitivity to climate variability impacts, whereas the Arizona example takes into account longer- term climate change. The types of analyses included in LCAT are time series analysis of local climate and the estimated rate of change in the local climate. It also provides a composite analysis to evaluate the relationship between local climate and climate variability events such as El Niño Southern Oscillation, the Pacific North American Index, and other modes of climate variability. This paper will describe the development of a training module for use of LCAT and its integration into CRT. An iterative approach was used that incorporates specific examples of decision making while working with subject matter experts within the water supply community. The recommended strategy is to use a "stepping stone" learning structure to build users knowledge of best practices for use of LCAT.
NPOESS, Essential Climates Variables and Climate Change
NASA Astrophysics Data System (ADS)
Forsythe-Newell, S. P.; Bates, J. J.; Barkstrom, B. R.; Privette, J. L.; Kearns, E. J.
2008-12-01
Advancement in understanding, predicting and mitigating against climate change implies collaboration, close monitoring of Essential Climate Variable (ECV)s through development of Climate Data Record (CDR)s and effective action with specific thematic focus on human and environmental impacts. Towards this end, NCDC's Scientific Data Stewardship (SDS) Program Office developed Climate Long-term Information and Observation system (CLIO) for satellite data identification, characterization and use interrogation. This "proof-of-concept" online tool provides the ability to visualize global CDR information gaps and overlaps with options to temporally zoom-in from satellite instruments to climate products, data sets, data set versions and files. CLIO provides an intuitive one-stop web site that displays past, current and planned launches of environmental satellites in conjunction with associated imagery and detailed information. This tool is also capable of accepting and displaying Web-based input from Subject Matter Expert (SME)s providing a global to sub-regional scale perspective of all ECV's and their impacts upon climate studies. SME's can access and interact with temporal data from the past and present, or for future planning of products, datasets/dataset versions, instruments, platforms and networks. CLIO offers quantifiable prioritization of ECV/CDR impacts that effectively deal with climate change issues, their associated impacts upon climate, and this offers an intuitively objective collaboration and consensus building tool. NCDC's latest tool empowers decision makers and the scientific community to rapidly identify weaknesses and strengths in climate change monitoring strategies and significantly enhances climate change collaboration and awareness.
Extra-Tropical Cyclones at Climate Scales: Comparing Models to Observations
NASA Astrophysics Data System (ADS)
Tselioudis, G.; Bauer, M.; Rossow, W.
2009-04-01
Climate is often defined as the accumulation of weather, and weather is not the concern of climate models. Justification for this latter sentiment has long been hidden behind coarse model resolutions and blunt validation tools based on climatological maps. The spatial-temporal resolutions of today's climate models and observations are converging onto meteorological scales, however, which means that with the correct tools we can test the largely unproven assumption that climate model weather is correct enough that its accumulation results in a robust climate simulation. Towards this effort we introduce a new tool for extracting detailed cyclone statistics from observations and climate model output. These include the usual cyclone characteristics (centers, tracks), but also adaptive cyclone-centric composites. We have created a novel dataset, the MAP Climatology of Mid-latitude Storminess (MCMS), which provides a detailed 6 hourly assessment of the areas under the influence of mid-latitude cyclones, using a search algorithm that delimits the boundaries of each system from the outer-most closed SLP contour. Using this we then extract composites of cloud, radiation, and precipitation properties from sources such as ISCCP and GPCP to create a large comparative dataset for climate model validation. A demonstration of the potential usefulness of these tools in process-based climate model evaluation studies will be shown.
Integrating Climate and Ocean Change Vulnerability into Conservation Planning
NASA Astrophysics Data System (ADS)
Mcleod, E.; Green, A.; Game, E.; Anthony, K.; Cinner, J.; Heron, S. F.; Kleypas, J. A.; Lovelock, C.; Pandolfi, J.; Pressey, B.; Salm, R.; Schill, S.; Woodroffe, C. D.
2013-05-01
Tropical coastal and marine ecosystems are particularly vulnerable to ocean warming, ocean acidification, and sea-level rise. Yet these projected climate and ocean change impacts are rarely considered in conservation planning due to the lack of guidance on how existing climate and ocean change models, tools, and data can be applied. We address this gap by describing how conservation planning can use available tools and data for assessing the vulnerability of tropical marine ecosystems to key climate threats. Additionally, we identify limitations of existing tools and provide recommendations for future research to improve integration of climate and ocean change information and conservation planning. Such information is critical for developing a conservation response that adequately protects these ecosystems and dependent coastal communities in the face of climate and ocean change.
Collaboration pathway(s) using new tools for optimizing `operational' climate monitoring from space
NASA Astrophysics Data System (ADS)
Helmuth, Douglas B.; Selva, Daniel; Dwyer, Morgan M.
2015-09-01
Consistently collecting the earth's climate signatures remains a priority for world governments and international scientific organizations. Architecting a long term solution requires transforming scientific missions into an optimized robust `operational' constellation that addresses the collective needs of policy makers, scientific communities and global academic users for trusted data. The application of new tools offers pathways for global architecture collaboration. Recent rule-based expert system (RBES) optimization modeling of the intended NPOESS architecture becomes a surrogate for global operational climate monitoring architecture(s). These rulebased systems tools provide valuable insight for global climate architectures, by comparison/evaluation of alternatives and the sheer range of trade space explored. Optimization of climate monitoring architecture(s) for a partial list of ECV (essential climate variables) is explored and described in detail with dialogue on appropriate rule-based valuations. These optimization tool(s) suggest global collaboration advantages and elicit responses from the audience and climate science community. This paper will focus on recent research exploring joint requirement implications of the high profile NPOESS architecture and extends the research and tools to optimization for a climate centric case study. This reflects work from SPIE RS Conferences 2013 and 2014, abridged for simplification30, 32. First, the heavily securitized NPOESS architecture; inspired the recent research question - was Complexity (as a cost/risk factor) overlooked when considering the benefits of aggregating different missions into a single platform. Now years later a complete reversal; should agencies considering Disaggregation as the answer. We'll discuss what some academic research suggests. Second, using the GCOS requirements of earth climate observations via ECV (essential climate variables) many collected from space-based sensors; and accepting their definitions of global coverages intended to ensure the needs of major global and international organizations (UNFCCC and IPCC) are met as a core objective. Consider how new optimization tools like rule-based engines (RBES) offer alternative methods of evaluating collaborative architectures and constellations? What would the trade space of optimized operational climate monitoring architectures of ECV look like? Third, using the RBES tool kit (2014) demonstrate with application to a climate centric rule-based decision engine - optimizing architectural trades of earth observation satellite systems, allowing comparison(s) to existing architectures and gaining insights for global collaborative architectures. How difficult is it to pull together an optimized climate case study - utilizing for example 12 climate based instruments on multiple existing platforms and nominal handful of orbits; for best cost and performance benefits against the collection requirements of representative set of ECV. How much effort and resources would an organization expect to invest to realize these analysis and utility benefits?
Climate change in the Pacific - is it real or not?
NASA Astrophysics Data System (ADS)
Kuleshov, Yuriy
2013-04-01
In this presentation, novel approaches and new ideas for students and young researchers to appreciate the importance of climate science are discussed. These approaches have been applied through conducting a number of training workshops in the Pacific Island Countries and teaching a course on climate change international law and climate change science at the University of the South Pacific (USP) - the first course on this type in the Pacific. Particular focus of this presentation is on broadening students' experience with application of web-based information tools for analysis of climatic extremes and natural hazards such as tropical cyclones. Over the past few years, significant efforts of Australian climate scientists have been dedicated to improving understanding of climate in the Pacific through the International Climate Change Adaptation Initiative (the Australian Government Initiative to assist with high priority climate adaptation needs in vulnerable countries in the Asia-Pacific region). The first comprehensive scientific report about the Pacific climate has been published in 2011, as an outcome of the Pacific Climate Change Science Program (PCCSP). A range of web-based information tools such as the Pacific Tropical Cyclone Data Portal, the Pacific Climate Change Data Portal and the Pacific Seasonal Climate Prediction Portal has been also developed through the PCCSP and the Pacific Adaptation Strategy Assistance Program. Currently, further advancement in seasonal climate prediction science and developing enhanced software tools for the Pacific is undertaken through the Theme 1 of the Pacific Australia Climate Change Science and Adaptation Planning (PACCSAP) Program. This new scientific knowledge needs to be transferred to students to provide them with true information about climate change and its impact on the Pacific Island Countries. Teachers and educators need their knowledge-base regularly updated and tools that will help their students critically evaluate information transmitted via the mass media. This is particularly important when educators present to students cutting edge science knowledge on climate change. Climate change skeptics through mass media attack climate scientists and dismiss their findings about magnitude of climate change. A novel approach implemented in our training workshops and teaching courses gives students practical hands on experience in examining climate data using the developed web-based information tools. Using the tools, students can examine climate of the Pacific Island Countries, derive trends in climate variables such as temperature and rainfall and make their own conclusions. An open forum "Is climate change real or not?" has also been included as an integral part of these workshops and teaching, giving an opportunity for students to present their findings. They have also been asked to provide examples of observed change in the environment in their countries which may be related to climate change. Tropical cyclones are the most destructive severe weather events in the Pacific which regularly affect countries in the region. Understanding importance of updating knowledge about cyclones, extensive training in using the Pacific Tropical Cyclone Data Portal (http://www.bom.gov.au/cyclone/history/tracks/) has also been provided. Using this sophisticated web-based tool, students can learn about occurrences of cyclones in waters around their countries and over the whole Pacific. Positive feedback from university students and participants of training workshops has been obtained and this approach may be recommended for educators to include in their courses. Acknowledgement The research discussed in this paper was conducted through the PASAP, PCCSP and PACCSAP supported by the AusAID and Department of Climate Change and Energy Efficiency and delivered by the Bureau of Meteorology and CSIRO.
NASA Astrophysics Data System (ADS)
2001-03-01
What are you thinking about? There is a crisis in recruiting physics teachers throughout Northern Europe. Detailed research has shown that the problem may be one of image. It seems that being a teacher is seen as something slightly strange. So is being a physicist. This makes anyone who is a physics teacher (strange)2. This effect becomes overwhelming when more than one physics teacher is present, making attendance at gatherings of physics teachers almost unthinkable for the average person. So just what is it that sets physicists aside from the rest of the population? Why do they think we are so strange? Clearly it is how we think about things. We enter a room and estimate its volume. We visit the fairground and we wonder about the g force. At a football match we estimate the size of the crowd. At sunset we see scattering and at the beach, as the sun glints off the clear water, we think about Brewster's angle, and we estimate the number of pebbles on the beach. We find potential visits and lesson-material at hospitals, concerts, restaurants and on every possible mode of transport. Thinking about things like that is what makes us physics teachers. Surely everyone has seen The Wizard of Oz. I want you to imagine that you are watching it along with some friends who are not physics teachers. Let's see what they are all thinking about. One is a Roads Engineer. What a state the yellow brick road is in! As the major route in the country of Oz it obviously needs an upgrade. A nice black tarmac surface, some road markings and lighting at the major intersections. There is something else wrong. Dorothy, the Tin man, Scarecrow and Lion are just walking along. Where are the road works, traffic jams and hold-ups? Another friend is a school principal. What an amazing leadership style the Wizard has. Perhaps it would work at school? Those munchkins run around a bit though. There would be a need for some rules about how to play in the playground. Perhaps if the mayor of the Munchkins were to be on performance related pay things might improve? And what are you thinking? What is the conductance of the Tin man? Would it vary measured from head to toe or hand to hand? Students could do extended investigations into the conductance of different body parts. There are surely some great opportunities for projects and science fairs. Students could investigate the suitability of different materials for making Tin man suits. They could do a special display... So you are thinking again, but so are they. Everyone sees the world from their own perspective. Perhaps people think the perspective of a physics teacher is a bit strange. We must stand up for ourselves and fight back. It is time to tell the world what good people we are to know - far more interesting than road engineers or school principals. After all, look at what they think about when they watch The Wizard of Oz! If this positive image projection fails to recruit more physics teachers I can propose an alternative. There are about as many giant pandas in the world as physics teachers in the UK. There is a breeding programme for pandas. Now there's an idea ... . What good people we are to know - far more interesting than road engineers or school principals. After all, look at what they think about when they watch The Wizard of Oz! Philip Britton Head of Physics, Leeds Grammar School, UK
NASA Astrophysics Data System (ADS)
Faqih, A.
2017-03-01
Providing information regarding future climate scenarios is very important in climate change study. The climate scenario can be used as basic information to support adaptation and mitigation studies. In order to deliver future climate scenarios over specific region, baseline and projection data from the outputs of global climate models (GCM) is needed. However, due to its coarse resolution, the data have to be downscaled and bias corrected in order to get scenario data with better spatial resolution that match the characteristics of the observed data. Generating this downscaled data is mostly difficult for scientist who do not have specific background, experience and skill in dealing with the complex data from the GCM outputs. In this regards, it is necessary to develop a tool that can be used to simplify the downscaling processes in order to help scientist, especially in Indonesia, for generating future climate scenario data that can be used for their climate change-related studies. In this paper, we introduce a tool called as “Statistical Bias Correction for Climate Scenarios (SiBiaS)”. The tool is specially designed to facilitate the use of CMIP5 GCM data outputs and process their statistical bias corrections relative to the reference data from observations. It is prepared for supporting capacity building in climate modeling in Indonesia as part of the Indonesia 3rd National Communication (TNC) project activities.
eSACP - a new Nordic initiative towards developing statistical climate services
NASA Astrophysics Data System (ADS)
Thorarinsdottir, Thordis; Thejll, Peter; Drews, Martin; Guttorp, Peter; Venälainen, Ari; Uotila, Petteri; Benestad, Rasmus; Mesquita, Michel d. S.; Madsen, Henrik; Fox Maule, Cathrine
2015-04-01
The Nordic research council NordForsk has recently announced its support for a new 3-year research initiative on "statistical analysis of climate projections" (eSACP). eSACP will focus on developing e-science tools and services based on statistical analysis of climate projections for the purpose of helping decision-makers and planners in the face of expected future challenges in regional climate change. The motivation behind the project is the growing recognition in our society that forecasts of future climate change is associated with various sources of uncertainty, and that any long-term planning and decision-making dependent on a changing climate must account for this. At the same time there is an obvious gap between scientists from different fields and between practitioners in terms of understanding how climate information relates to different parts of the "uncertainty cascade". In eSACP we will develop generic e-science tools and statistical climate services to facilitate the use of climate projections by decision-makers and scientists from all fields for climate impact analyses and for the development of robust adaptation strategies, which properly (in a statistical sense) account for the inherent uncertainty. The new tool will be publically available and include functionality to utilize the extensive and dynamically growing repositories of data and use state-of-the-art statistical techniques to quantify the uncertainty and innovative approaches to visualize the results. Such a tool will not only be valuable for future assessments and underpin the development of dedicated climate services, but will also assist the scientific community in making more clearly its case on the consequences of our changing climate to policy makers and the general public. The eSACP project is led by Thordis Thorarinsdottir, Norwegian Computing Center, and also includes the Finnish Meteorological Institute, the Norwegian Meteorological Institute, the Technical University of Denmark and the Bjerknes Centre for Climate Research, Norway. This poster will present details of focus areas in the project and show some examples of the expected analysis tools.
Promoting climate literacy through social engagement: the Green Ninja Project
NASA Astrophysics Data System (ADS)
Cordero, E. C.; Todd, A.
2012-12-01
One of the challenges of communicating climate change to younger audiences is the disconnect between global issues and local impacts. The Green Ninja is a climate-action superhero that aims to energize young people about climate science through media and social engagement tools. In this presentation, we'll highlight two of the tools designed to help K-12 students implement appropriate local mitigation strategies. A mobile phone application builds and supports a social community around taking action at local businesses regarding themes such as food, packaging and energy efficiency. An energy efficiency contest in local schools utilizes smart meter technology to provide feedback on household energy use and conservation. These tools are supported by films and lesson plans that link formal and informal education channels. The effectiveness of these methodologies as tools to engage young people in climate science and action will be discussed.
Tebel, Katrin; Boldt, Vivien; Steininger, Anne; Port, Matthias; Ebert, Grit; Ullmann, Reinhard
2017-01-06
The analysis of DNA copy number variants (CNV) has increasing impact in the field of genetic diagnostics and research. However, the interpretation of CNV data derived from high resolution array CGH or NGS platforms is complicated by the considerable variability of the human genome. Therefore, tools for multidimensional data analysis and comparison of patient cohorts are needed to assist in the discrimination of clinically relevant CNVs from others. We developed GenomeCAT, a standalone Java application for the analysis and integrative visualization of CNVs. GenomeCAT is composed of three modules dedicated to the inspection of single cases, comparative analysis of multidimensional data and group comparisons aiming at the identification of recurrent aberrations in patients sharing the same phenotype, respectively. Its flexible import options ease the comparative analysis of own results derived from microarray or NGS platforms with data from literature or public depositories. Multidimensional data obtained from different experiment types can be merged into a common data matrix to enable common visualization and analysis. All results are stored in the integrated MySQL database, but can also be exported as tab delimited files for further statistical calculations in external programs. GenomeCAT offers a broad spectrum of visualization and analysis tools that assist in the evaluation of CNVs in the context of other experiment data and annotations. The use of GenomeCAT does not require any specialized computer skills. The various R packages implemented for data analysis are fully integrated into GenomeCATs graphical user interface and the installation process is supported by a wizard. The flexibility in terms of data import and export in combination with the ability to create a common data matrix makes the program also well suited as an interface between genomic data from heterogeneous sources and external software tools. Due to the modular architecture the functionality of GenomeCAT can be easily extended by further R packages or customized plug-ins to meet future requirements.
76 FR 71341 - BASINS and WEPP Climate Assessment Tools: Case Study Guide to Potential Applications
Federal Register 2010, 2011, 2012, 2013, 2014
2011-11-17
... report presents a series of short case studies designed to illustrate the capabilities of these tools for... change impacts on water. This report presents a series of short case studies using the BASINS and WEPP climate assessment tools. The case studies are designed to illustrate the capabilities of these tools for...
Adaptation Design Tool for Climate-Smart Management of Coral Reefs and Other Natural Resources.
West, Jordan M; Courtney, Catherine A; Hamilton, Anna T; Parker, Britt A; Gibbs, David A; Bradley, Patricia; Julius, Susan H
2018-06-22
Scientists and managers of natural resources have recognized an urgent need for improved methods and tools to enable effective adaptation of management measures in the face of climate change. This paper presents an Adaptation Design Tool that uses a structured approach to break down an otherwise overwhelming and complex process into tractable steps. The tool contains worksheets that guide users through a series of design considerations for adapting their planned management actions to be more climate-smart given changing environmental stressors. Also provided with other worksheets is a framework for brainstorming new adaptation options in response to climate threats not yet addressed in the current plan. Developed and tested in collaboration with practitioners in Hawai'i and Puerto Rico using coral reefs as a pilot ecosystem, the tool and associated reference materials consist of worksheets, instructions and lessons-learned from real-world examples. On the basis of stakeholder feedback from expert consultations during tool development, we present insights and recommendations regarding how to maximize tool efficiency, gain the greatest value from the thought process, and deal with issues of scale and uncertainty. We conclude by reflecting on how the tool advances the theory and practice of assessment and decision-making science, informs higher level strategic planning, and serves as a platform for a systematic, transparent and inclusive process to tackle the practical implications of climate change for management of natural resources.
Integrating Climate Information and Decision Processes for Regional Climate Resilience
NASA Astrophysics Data System (ADS)
Buizer, James; Goddard, Lisa; Guido, Zackry
2015-04-01
An integrated multi-disciplinary team of researchers from the University of Arizona and the International Research Institute for Climate and Society at Columbia University have joined forces with communities and institutions in the Caribbean, South Asia and West Africa to develop relevant, usable climate information and connect it to real decisions and development challenges. The overall objective of the "Integrating Climate Information and Decision Processes for Regional Climate Resilience" program is to build community resilience to negative impacts of climate variability and change. We produce and provide science-based climate tools and information to vulnerable peoples and the public, private, and civil society organizations that serve them. We face significant institutional challenges because of the geographical and cultural distance between the locale of climate tool-makers and the locale of climate tool-users and because of the complicated, often-inefficient networks that link them. To use an accepted metaphor, there is great institutional difficulty in coordinating the supply of and the demand for useful climate products that can be put to the task of building local resilience and reducing climate vulnerability. Our program is designed to reduce the information constraint and to initiate a linkage that is more demand driven, and which provides a set of priorities for further climate tool generation. A demand-driven approach to the co-production of appropriate and relevant climate tools seeks to meet the direct needs of vulnerable peoples as these needs have been canvassed empirically and as the benefits of application have been adequately evaluated. We first investigate how climate variability and climate change affect the livelihoods of vulnerable peoples. In so doing we assess the complex institutional web within which these peoples live -- the public agencies that serve them, their forms of access to necessary information, the structural constraints under which they make their decisions, and the non-public institutions of support that are available to them. We then interpret this complex reality in terms of the demand for science-based climate products and analyze the channels through which such climate support must pass, thus linking demand assessment with the scientific capacity to create appropriate decision support tools. In summary, the approach we employ is: 1) Demand-driven, beginning with a knowledge of the impacts of climate variability and change upon targeted populations, 2) Focused on vulnerability and resilience, which requires an understanding of broader networks of institutional actors who contribute to the adaptive capacity of vulnerable peoples, 3) Needs-based in that the climate needs matrix set priorities for the assessment of relevant climate products, 4) Dynamic in that the producers of climate products are involved at the point of demand assessment and can respond directly to stated needs, 5) Reflective in that the impacts of climate product interventions are subject to monitoring and evaluation throughout the process. Methods, approaches and preliminary results of our work in the Caribbean will be presented.
Multiple-Objective Stepwise Calibration Using Luca
Hay, Lauren E.; Umemoto, Makiko
2007-01-01
This report documents Luca (Let us calibrate), a multiple-objective, stepwise, automated procedure for hydrologic model calibration and the associated graphical user interface (GUI). Luca is a wizard-style user-friendly GUI that provides an easy systematic way of building and executing a calibration procedure. The calibration procedure uses the Shuffled Complex Evolution global search algorithm to calibrate any model compiled with the U.S. Geological Survey's Modular Modeling System. This process assures that intermediate and final states of the model are simulated consistently with measured values.
The Software Therapist: Usability Problem Diagnosis Through Latent Semantic Analysis
2006-06-14
at a given level is equivalent to removing attributes that don’t apply to a given usability situation, thereby filtering or pruning off irrelevant sub...Each answer prunes the number of stages remaining. Through a process of elimination, the Wizard helps evaluators home in on the correct stage...the diagnosis for one problem report, the user may want to take a break to get a cup of coffee or take a short walk, but when ready to continue with
The New Wizard War: Challenges and Opportunities for Electronic Warfare in the Information Age
2007-11-06
Camp: Preparing for Conflict in the Information Age (Santa Monica, CA: RAND Corporation, 1997):175. 17. Jeffrey R . Cares, “An Information Age Combat...60. Stephen Trimble, “US Army Moves Back Into Electronic Attack Mission.” 61. Richard R . Burgess, “Jamming: The Marine Corps Refines Its Vision of...November 7, 2005), http://www.aviationweek.com/aw/generic/story_generic.jsp?channel= awst &id=news/11075p 2.xml (accessed 29 Oct 07). 74. David A
VIDANN: a video annotation system.
De Clercq, A; Buysse, A; Roeyers, H; Ickes, W; Ponnet, K; Verhofstadt, L
2001-05-01
VIDANN is a computer program that allows participants to watch a video on a standard TV and to write their annotations (thought/feeling entries) on paper attached to a writing tablet. The system is designed as a Microsoft ActiveX module. It can be further adapted by the individual researcher through the use of a VBScript. All data, including the participant's handwriting, are stored in an XML database. An accompanying Wizard has been designed that enables researchers to generate VBScripts for standard configurations.
Measuring Certified Registered Nurse Anesthetist Organizational Climate: Instrument Adaptation.
Boyd, Donald; Poghosyan, Lusine
2017-08-01
No tool exists measuring certified registered nurse anesthetist (CRNA) organizational climate. The study's purpose is to adapt a validated tool to measure CRNA organizational climate. Content validity of the Certified Registered Nurse Anesthetist Organizational Climate Questionnaire (CRNA-OCQ) was established. Pilot testing was conducted to determine internal reliability consistency of the subscales. Experts rated the tool as content valid. The subscales had high internal consistency reliability (with respective Cronbach's alphas): CRNA-Anesthesiologist Relations (.753), CRNA-Physician Relations (.833), CRNA-Administration Relations (.895), Independent Practice (.830), Support for CRNA Practice (.683), and Professional Visibility (.772). Further refinement of the CRNA-OCQ is necessary. Measurement and assessment of CRNA organizational climate may produce evidence needed to improve provider and patient outcomes.
NASA Astrophysics Data System (ADS)
Ceccato, P.; McDonald, K. C.; Podest, E.; De La Torre Juarez, M.; Kruczkiewicz, A.; Lessel, J.; Jensen, K.; Thomson, M. C.
2014-12-01
The International Research Institute for Climate and Society (IRI), the City University of New York (CUNY) and NASA Jet Propulsion Laboratory (JPL) in collaboration with NASA SERVIR are developing tools to monitor climate variables (precipitation, temperature, vegetation, water bodies, inundation) that help projects in Africa to increase resilience to climate change for vector-borne diseases (i.e. malaria, trypanosomiasis, leishmaniasis, and schistosomiasis). Through the development of new products to monitor precipitation, water bodies and inundation, IRI, CUNY and JPL provide tools and capacity building to research communities, ministries of health and World Health Organization in Africa to: 1) Develop research teams' ability to appropriately use climate data as part of their research 2) Enable research teams and ministries to integrate climate information into social and economic drivers of vulnerability and opportunities for adaptation to climate change 3) Inform better policies and programs for climate change adaptation. This oral presentation will demonstrate how IRI, CUNY, and JPL developed new products, tools and capacity building to achieve the three objectives mentioned above.
BASINs 4.0 Climate Assessment Tool (CAT): Supporting ...
EPA announced the availability of the report, BASINS 4.0 Climate Assessment Tool (CAT): Supporting Documentation and User's Manual. This report was prepared by the EPA's Global Change Research Program (GCRP), an assessment-oriented program, that sits within the Office of Research and Development, that focuses on assessing how potential changes in climate and other global environmental stressors may impact water quality, air quality, aquatic ecosystems, and human health in the United States. The Program’s focus on water quality is consistent with the Research Strategy of the U.S. Climate Change Research Program—the federal umbrella organization for climate change science in the U.S. government—and is responsive to U.S. EPA’s mission and responsibilities as defined by the Clean Water Act and the Safe Drinking Water Act. A central goal of the EPA GCRP is to provide EPA program offices, Regions, and other stakeholders with tools and information for assessing and responding to any potential future impacts of climate change. In 2007, the EPA Global Change Research Program (GCRP), in partnership with the EPA Office of Water, supported development of a Climate Assessment Tool (CAT) for version 4 of EPA’s BASINS modeling system. This report provides supporting documentation and user support materials for the BASINS CAT tool. The purpose of this report is to provide in a single document a variety of documentation and user support materials supporting the use
Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning
NASA Technical Reports Server (NTRS)
Monteleoni, Claire; Schmidt, Gavin A.; McQuade, Scott
2014-01-01
The goal of climate informatics, an emerging discipline, is to inspire collaboration between climate scientists and data scientists, in order to develop tools to analyze complex and ever-growing amounts of observed and simulated climate data, and thereby bridge the gap between data and understanding. Here, recent climate informatics work is presented, along with details of some of the field's remaining challenges. Given the impact of climate change, understanding the climate system is an international priority. The goal of climate informatics is to inspire collaboration between climate scientists and data scientists, in order to develop tools to analyze complex and ever-growing amounts of observed and simulated climate data, and thereby bridge the gap between data and understanding. Here, recent climate informatics work is presented, along with details of some of the remaining challenges.
EPA announced the release of the final report, BASINs and WEPP Climate Assessment Tools (CAT): Case Study Guide to Potential Applications. This report supports application of two recently developed water modeling tools, the Better Assessment Science Integrating point & ...
Getting The Picture: Our Changing Climate- A new learning tool for climate science
NASA Astrophysics Data System (ADS)
Yager, K.; Balog, J. D.
2014-12-01
Earth Vision Trust (EVT), founded by James Balog- photographer and scientist, has developed a free, online, multimedia climate science education tool for students and educators. Getting The Picture (GTP) creates a new learning experience, drawing upon powerful archives of Extreme Ice Survey's unique photographs and time-lapse videos of changing glaciers around the world. GTP combines the latest in climate science through interactive tools that make the basic scientific tenets of climate science accessible and easy to understand. The aim is to use a multidisciplinary approach to encourage critical thinking about the way our planet is changing due to anthropogenic activities, and to inspire students to find their own voice regarding our changing climate The essence of this resource is storytelling through the use of inspiring images, field expedition notes and dynamic multimedia tools. EVT presents climate education in a new light, illustrating the complex interaction between humans and nature through their Art + Science approach. The overarching goal is to educate and empower young people to take personal action. GTP is aligned with national educational and science standards (NGSS, CCSS, Climate Literacy) so it may be used in conventional classrooms as well as education centers, museum kiosks or anywhere with Internet access. Getting The Picture extends far beyond traditional learning to provide an engaging experience for students, educators and all those who wish to explore the latest in climate science.
Development of an Irrigation Scheduling Tool for the High Plains Region
NASA Astrophysics Data System (ADS)
Shulski, M.; Hubbard, K. G.; You, J.
2009-12-01
The High Plains Regional Climate Center (HPRCC) at the University of Nebraska is one of NOAA’s six regional climate centers in the U.S. Primary objectives of the HPRCC are to conduct applied climate research, engage in climate education and outreach, and increase the use and availability of climate information by developing value-added products. Scientists at the center are engaged in utilizing regional weather data to develop tools that can be used directly by area stakeholders, particularly for agricultural sectors. A new study is proposed that will combine NOAA products (short-term forecasts and seasonal outlooks of temperature and precipitation) with existing capabilities to construct an irrigation scheduling tool that can be used by producers in the region. This tool will make use of weather observations from the regional mesonet (specifically the AWDN, Automated Weather Data Network) and the nation-wide relational database and web portal (ACIS, Applied Climate Information System). The primary benefit to stakeholders will be a more efficient use of water and energy resources owing to the reduction of uncertainty in the timing of irrigation.
NASA Astrophysics Data System (ADS)
Villoria, Nelson B.; Elliott, Joshua; Müller, Christoph; Shin, Jaewoo; Zhao, Lan; Song, Carol
2018-01-01
Access to climate and spatial datasets by non-specialists is restricted by technical barriers involving hardware, software and data formats. We discuss an open-source online tool that facilitates downloading the climate data from the global circulation models used by the Inter-Sectoral Impacts Model Intercomparison Project. The tool also offers temporal and spatial aggregation capabilities for incorporating future climate scenarios in applications where spatial aggregation is important. We hope that streamlined access to these data facilitates analysis of climate related issues while considering the uncertainties derived from future climate projections and temporal aggregation choices.
Regional Climate Service in Northern Germany -The North German Climate Office
NASA Astrophysics Data System (ADS)
Meinke, I.; Von Storch, H.
2012-12-01
The North German Climate Office was established in 2006 at the Institute for Coastal Research at the Helmholtz-Zentrum Geesthacht, Germany as consequence of an increased public information need regarding coastal climate change and its impacts in Northern Germany. The service is characterized by an intensive dialogue between regional climate research and stakeholders in Northern Germany. About once a week scientists of the North German climate office are invited to contribute to public dialogue events. Also numerous direct inquiries are answered and expert interviews are conducted. From this dialogue process specific stakeholder information needs are localized and analysed to develop tailored information products. To provide easy and user specific access to research results interactive web tools are developed. One example is the North German climate atlas, an interactive web tool on possible future climate change in Northern Germany. Another interactive web tool is informing on present and future coastal protection needs in Northern Germany. Another aim of our information products is to assess and summarize the existing scientific knowledge on climate, climate change and impacts in Northern Germany. A mini IPCC-like regional assessment report has been published in 2010, which is summarizing, discussing and assessing the scientific knowledge on regional climate, climate change and impacts as well as possible adaptation strategies in the metropolitan region of Hamburg.
Adaptation to Climate change Impacts on the Mediterranean islands' Agriculture (ADAPT2CLIMA)
NASA Astrophysics Data System (ADS)
Giannakopoulos, Christos; Karali, Anna; Lemesios, Giannis; Loizidou, Maria; Papadaskalopoulou, Christina; Moustakas, Konstantinos; Papadopoulou, Maria; Moriondo, Marco; Markou, Marinos; Hatziyanni, Eleni; Pasotti, Luigi
2016-04-01
Agriculture is one of the economic sectors that will likely be hit hardest by climate change, since it directly depends on climatic factors such as temperature, sunlight, and precipitation. The EU LIFE ADAPT2CLIMA (http://adapt2clima.eu/en/) project aims to facilitate the development of adaptation strategies for agriculture by deploying and demonstrating an innovative decision support tool. The ADAPT2CLIMA tool will make it possible to simulate the impacts of climate change on crop production and the effectiveness of selected adaptation options in decreasing vulnerability to climate change in three Mediterranean islands, namely Crete (Greece), Sicily (Italy), and Cyprus. The islands were selected for two reasons: firstly, they figure among the most important cultivation areas at national level. Secondly, they exhibit similarities in terms of location (climate), size, climate change threats faced (coastal agriculture, own water resources), agricultural practices, and policy relevance. In particular, the tool will provide: i) climate change projections; ii) hydrological conditions related to agriculture: iii) a vulnerability assessment of selected crops; iv) an evaluation of the adaptation options identified. The project is expected to contribute significantly to increasing climate resilience of agriculture areas in Sicily, Cyprus and Crete as well as at EU and international level by: • Developing, implementing and demonstrating an innovative and interactive decision support tool (ADAPT2CLIMA tool) for adaptation planning in agriculture that estimates future climate change impacts on local water resources, as well as the climate change vulnerability of the agricultural crop production in the project areas; • Evaluating the technical and economic viability of the implementation of the ADAPT2CLIMA tool; • Developing climate change adaptation strategies for agriculture (including a monitoring plan) for the three project areas and presenting them to the competent authorities for adoption; • Simulating the effectiveness of the implementation of certain adaptation measures to address climate change impacts on agriculture; • Developing a stakeholder engagement strategy; • Increasing the knowledge of the impacts of climate change on the agricultural areas covered by the project, thus enabling well informed decision-making and enhancing readiness for early action in order to address the potential damages and minimize threats posed by climate change; • Developing a framework for mainstreaming agricultural adaptation measures into relevant national and regional policies; • Promoting the replication of the proposed methodology in order to ensure proper coordination of national and regional policies and between authorities.
NASA Astrophysics Data System (ADS)
Ceccato, P.
2015-12-01
The International Research Institute for Climate and Society (IRI), the City University of New York (CUNY) and NASA Jet Propulsion Laboratory (JPL) in collaboration with NASA SERVIR are developing tools to monitor climate variables (precipitation, temperature, vegetation, water bodies, inundation) that help projects in Africa to increase resilience to climate change for vector-borne diseases ( malaria, trypanosomiasis, leishmaniasis, and schistosomiasis). Through the development of new products to monitor precipitation, water bodies and inundation, IRI, CUNY and JPL provide tools and capacity building to research communities; ministries of health; the WMO Global Framework for Climate and Services; and World Health Organization in Africa to: 1) Develop research teams' ability to appropriately use climate data as part of their research 2) Enable research teams and ministries to integrate climate information into social and economic drivers of vulnerability and opportunities for adaptation to climate change 3) Inform better policies and programs for climate change adaptation. This oral presentation will demonstrate how IRI, CUNY, and JPL developed new products, tools and capacity building to achieve the three objectives mentioned above with examples in South Africa, Zimbabwe, Tanzania and Malawi.
Tools in Support of Planning for Weather and Climate Extremes
NASA Astrophysics Data System (ADS)
Done, J.; Bruyere, C. L.; Hauser, R.; Holland, G. J.; Tye, M. R.
2016-12-01
A major limitation to planning for weather and climate extremes is the lack of maintained and readily available tools that can provide robust and well-communicated predictions and advice on their impacts. The National Center for Atmospheric Research is facilitating a collaborative international program to develop and support such tools within its Capacity Center for Climate and Weather Extremes aimed at improving community resilience planning and reducing weather and climate impacts. A Global Risk, Resilience and Impacts Toolbox is in development and will provide: A portable web-based interface to process work requests from a variety of users and locations; A sophisticated framework that enables specialized community tools to access a comprehensive database (public and private) of geo-located hazard, vulnerability, exposure, and loss data; A community development toolkit that enables and encourages community tool developments geared towards specific user management and planning needs, and A comprehensive community support facilitated by NCAR utilizing tutorials and a help desk. A number of applications are in development, built off the latest climate science, and in collaboration with private industry and local and state governments. Example applications will be described, including a hurricane damage tool in collaboration with the reinsurance sector, and a weather management tool for the construction industry. These examples will serve as starting points to discuss the broader potential of the toolbox.
DOT National Transportation Integrated Search
2017-01-01
This Product Brief describes the Long-Term Pavement Performance (LTPP) Climate Tool (intended for use by infrastructure engineers) that provides convenient access to the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective An...
NASA Astrophysics Data System (ADS)
Ines, A. V. M.; Han, E.; Baethgen, W.
2017-12-01
Advances in seasonal climate forecasts (SCFs) during the past decades have brought great potential to improve agricultural climate risk managements associated with inter-annual climate variability. In spite of popular uses of crop simulation models in addressing climate risk problems, the models cannot readily take seasonal climate predictions issued in the format of tercile probabilities of most likely rainfall categories (i.e, below-, near- and above-normal). When a skillful SCF is linked with the crop simulation models, the informative climate information can be further translated into actionable agronomic terms and thus better support strategic and tactical decisions. In other words, crop modeling connected with a given SCF allows to simulate "what-if" scenarios with different crop choices or management practices and better inform the decision makers. In this paper, we present a decision support tool, called CAMDT (Climate Agriculture Modeling and Decision Tool), which seamlessly integrates probabilistic SCFs to DSSAT-CSM-Rice model to guide decision-makers in adopting appropriate crop and agricultural water management practices for given climatic conditions. The CAMDT has a functionality to disaggregate a probabilistic SCF into daily weather realizations (either a parametric or non-parametric disaggregation method) and to run DSSAT-CSM-Rice with the disaggregated weather realizations. The convenient graphical user-interface allows easy implementation of several "what-if" scenarios for non-technical users and visualize the results of the scenario runs. In addition, the CAMDT also translates crop model outputs to economic terms once the user provides expected crop price and cost. The CAMDT is a practical tool for real-world applications, specifically for agricultural climate risk management in the Bicol region, Philippines, having a great flexibility for being adapted to other crops or regions in the world. CAMDT GitHub: https://github.com/Agro-Climate/CAMDT
NASA Astrophysics Data System (ADS)
Torresan, S.; Gallina, V.; Giannini, V.; Rizzi, J.; Zabeo, A.; Critto, A.; Marcomini, A.
2012-04-01
At the international level climate services are recognized as innovative tools aimed at providing and distributing climate data and information according to the needs of end-users. Furthermore, needs-based climate services are extremely effective to manage climate risks and take advantage of the opportunities associated with climate change impacts. To date, climate services are mainly related to climate models that supply climate data (e.g. temperature, precipitations) at different spatial and time scales. However, there is a significant gap of tools aimed at providing information about risks and impacts induced by climate change and allowing non-expert stakeholders to use both climate-model and climate-impact data. DESYCO is a GIS-Decision Support System aimed at the integrated assessment of multiple climate change impacts on vulnerable coastal systems (e.g. beaches, river deltas, estuaries and lagoons, wetlands, agricultural and urban areas). It is an open source software that manages different input data (e.g. raster or shapefiles) coming from climate models (e.g. global and regional climate projections) and high resolution impact models (e.g. hydrodynamic, hydrological and biogeochemical simulations) in order to provide hazard, exposure, susceptibility, risk and damage maps for the identification and prioritization of hot-spot areas and to provide a basis for the definition of coastal adaptation and management strategies. Within the CLIM-RUN project (FP7) DESYCO is proposed as an helpful tool to bridge the gap between climate data and stakeholder needs and will be applied to the coastal area of the North Adriatic Sea (Italy) in order to provide climate services for local authorities involved in coastal zone management. Accordingly, a first workshop was held in Venice (Italy) with coastal authorities, climate experts and climate change risk experts, in order to start an iterative exchange of information about the knowledge related to climate change, climate models and projections, impact and risk parameters and to know what are stakeholder needs related to climate change in a climate service perspective. The preliminary results gained from the workshop showed that DESYCO is an helpful tool for the impact and risk assessment related to climate change that could be improved in order to fulfill stakeholder needs.
A System for Assessing Vulnerability of Species (SAVS) to Climate Change
Karen E. Bagne; Megan M. Friggens; Deborah M. Finch
2011-01-01
Sustained conservation of species requires integration of future climate change effects, but few tools exist to assist managers. The System for Assessing Vulnerability of Species (SAVS) identifies the relative vulnerability or resilience of vertebrate species to climate change. Designed for managers, the SAVS is an easily applied tool that uses a questionnaire of 22...
Transferring climate research results to stakeholder needs in Northern Germany
NASA Astrophysics Data System (ADS)
Meinke, Insa
2013-04-01
The North German Climate Office was established in 2006 at the Institute for Coastal Research at the Helmholtz-Zentrum Geesthacht, Germany as consequence of an increased public information need regarding coastal climate change and its impacts in Northern Germany. The service is characterized by an intensive dialogue between regional climate research and stakeholders in Northern Germany. About once a week scientists of the North German climate office are invited to contribute to public dialogue events. Also, numerous direct inquiries are answered and expert interviews are conducted. From this dialogue process specific stakeholder information needs are localized and analysed to develop tailored information products. To provide easy and user specific access to research results interactive web tools are developed. One example is the North German climate atlas, an interactive web tool on possible future climate change in Northern Germany. Another interactive web tool is informing on present and future coastal protection needs in Northern Germany. Another aim of our information products is to assess and summarize the existing scientific knowledge on climate, climate change and impacts in Northern Germany. A mini IPCC-like regional assessment report has been published in 2010, which is summarizing, discussing and assessing the scientific knowledge on regional climate, climate change and impacts as well as possible adaptation strategies in the metropolitan region of Hamburg.
A tool for selecting SNPs for association studies based on observed linkage disequilibrium patterns.
De La Vega, Francisco M; Isaac, Hadar I; Scafe, Charles R
2006-01-01
The design of genetic association studies using single-nucleotide polymorphisms (SNPs) requires the selection of subsets of the variants providing high statistical power at a reasonable cost. SNPs must be selected to maximize the probability that a causative mutation is in linkage disequilibrium (LD) with at least one marker genotyped in the study. The HapMap project performed a genome-wide survey of genetic variation with about a million SNPs typed in four populations, providing a rich resource to inform the design of association studies. A number of strategies have been proposed for the selection of SNPs based on observed LD, including construction of metric LD maps and the selection of haplotype tagging SNPs. Power calculations are important at the study design stage to ensure successful results. Integrating these methods and annotations can be challenging: the algorithms required to implement these methods are complex to deploy, and all the necessary data and annotations are deposited in disparate databases. Here, we present the SNPbrowser Software, a freely available tool to assist in the LD-based selection of markers for association studies. This stand-alone application provides fast query capabilities and swift visualization of SNPs, gene annotations, power, haplotype blocks, and LD map coordinates. Wizards implement several common SNP selection workflows including the selection of optimal subsets of SNPs (e.g. tagging SNPs). Selected SNPs are screened for their conversion potential to either TaqMan SNP Genotyping Assays or the SNPlex Genotyping System, two commercially available genotyping platforms, expediting the set-up of genetic studies with an increased probability of success.
Open data for water-related operational services, the SWITCH-ON approach
NASA Astrophysics Data System (ADS)
Mazzoli, Paolo; Bagli, Stefano; Valerio, Luzzi; Broccoli, Davide; Piccinini, Francesca
2017-04-01
Recently, a collaborative project started called SWITCH-ON (EU FP7 project No 603587) coordinated by SMHI (http://water-switch-on.eu/) as part of the contemporary European movement imposed by the INSPIRE directive and the Open Data Strategy. Among It's R&D activities GECOsistema develops and expands inside SWITCH-ON a set of online services to tackle major water related issues, from reservoir and irrigation supply, to hydrological change adaptation and hydropower potential mapping. Here we present major releases of APRIL, HyCAW and High-resolution European HydroPower Atlas; all of which make intense use of open data. APRIL is a tool for seasonal run-off forecasts, that takes advantage of open datasets or low-cost data and performs forecasts through calibrated machine learning algorithms. HyCAW is a wizard that supports the assessment of adaptation options to cope with change in the temporal distribution of water availability as well as in the total water quantity. EU HPA provides all relevant information necessary to appraise the feasibility of a micro-hydropower plant at a specific site, taking into account hydrological as well as technical and economic factors. All the tools share a common vision of the project to address water concerns and currently untapped potential of open data for improved water management across the EU. Users are guided through a Web GIS interface, created using open source Web Mapping Applications, Open-Layers and Map Server, to explore available hydrological information in the area of interest, plot available data, perform analysis, and get reports and statistics.
NASA Astrophysics Data System (ADS)
Howard, E. M.; Moore, T.; Hale, S. R.; Hayden, L. B.; Johnson, D.
2014-12-01
The preservice teachers enrolled in the EDUC 203 Introduction to Computer Instructional Technology course, primarily for elementary-level had created climate change educational lessons based upon their use of the NASA Data-enhanced Investigations for Climate Change Education (DICCE). NASA climate education datasets and tools were introduced to faculty of Minority Serving Institutions through a grant from the NASA Innovations in Climate Education program. These lessons were developed to study various ocean processes involving phytoplankton's chlorophyll production over time for specific geographic areas using the Giovanni NASA software tool. The pre-service teachers had designed the climate change content that will assist K-4 learners to identify and predict phytoplankton sources attributed to sea surface temperatures, nutrient levels, sunlight, and atmospheric carbon dioxide associated with annual chlorophyll production. From the EDUC 203 course content, the preservice teachers applied the three phases of the technology integration planning (TIP) model in developing their lessons. The Zunal website (http://www.zunal.com) served as a hypermedia tool for online instructional delivery in presenting the climate change content, the NASA climate datasets, and the visualization tools used for the production of elementary learning units. A rubric was developed to assess students' development of their webquests to meet the overall learning objectives and specific climate education objectives. Accompanying each webquest is a rubric with a defined table of criteria, for a teacher to assess students completing each of the required tasks for each lesson. Two primary challenges of technology integration for elementary pre-service teachers were 1) motivating pre-service teachers to be interested in climate education and 2) aligning elementary learning objectives with the Next Generation science standards of climate education that are non-existent in the Common Core State Standards.
Decision-support tools for Extreme Weather and Climate Events in the Northeast United States
NASA Astrophysics Data System (ADS)
Kumar, S.; Lowery, M.; Whelchel, A.
2013-12-01
Decision-support tools were assessed for the 2013 National Climate Assessment technical input document, "Climate Change in the Northeast, A Sourcebook". The assessment included tools designed to generate and deliver actionable information to assist states and highly populated urban and other communities in assessment of climate change vulnerability and risk, quantification of effects, and identification of adaptive strategies in the context of adaptation planning across inter-annual, seasonal and multi-decadal time scales. State-level adaptation planning in the Northeast has generally relied on qualitative vulnerability assessments by expert panels and stakeholders, although some states have undertaken initiatives to develop statewide databases to support vulnerability assessments by urban and local governments, and state agencies. The devastation caused by Superstorm Sandy in October 2012 has raised awareness of the potential for extreme weather events to unprecedented levels and created urgency for action, especially in coastal urban and suburban communities that experienced pronounced impacts - especially in New Jersey, New York and Connecticut. Planning approaches vary, but any adaptation and resiliency planning process must include the following: - Knowledge of the probable change in a climate variable (e.g., precipitation, temperature, sea-level rise) over time or that the climate variable will attain a certain threshold deemed to be significant; - Knowledge of intensity and frequency of climate hazards (past, current or future events or conditions with potential to cause harm) and their relationship with climate variables; - Assessment of climate vulnerabilities (sensitive resources, infrastructure or populations exposed to climate-related hazards); - Assessment of relative risks to vulnerable resources; - Identification and prioritization of adaptive strategies to address risks. Many organizations are developing decision-support tools to assist in the urban planning process by addressing some of these needs. In this paper we highlight the decision tools available today, discuss their application in selected case studies, and present a gap analysis with opportunities for innovation and future work.
Novel Tools for Climate Change Learning and Responding in Earth Science Education
NASA Astrophysics Data System (ADS)
Sparrow, Elena; Brunacini, Jessica; Pfirman, Stephanie
2015-04-01
Several innovative, polar focused activities and tools including a polar hub website (http://thepolarhub.org) have been developed for use in formal and informal earth science or STEM education by the Polar Learning and Responding (PoLAR) Climate Change Education Partnership (consisting of climate scientists, experts in the learning sciences and education practitioners). In seeking to inform understanding of and response to climate change, these tools and activities range from increasing awareness to informing decisions about climate change, from being used in classrooms (by undergraduate students as well as by pre-college students or by teachers taking online climate graduate courses) to being used in the public arena (by stakeholders, community members and the general public), and from using low technology (card games such as EcoChains- Arctic Crisis, a food web game or SMARTIC - Strategic Management of Resources in Times of Change, an Arctic marine spatial planning game) to high technology (Greenify Network - a mobile real world action game that fosters sustainability and allows players to meaningfully address climate change in their daily lives, or the Polar Explorer Data Visualization Tablet App that allows individuals to explore data collected by scientists and presented for the everyday user through interactive maps and visualizations, to ask questions and go on an individualized tour of polar regions and their connections to the rest of the world). Games are useful tools in integrative and applied learning, in gaining practical and intellectual skills, and in systems thinking. Also, as part of the PoLAR Partnership, a Signs of the Land Climate Change Camp was collaboratively developed and conducted, that can be used as a model for engaging and representing indigenous communities in the co-production of climate change knowledge, communication tools and solutions building. Future camps are planned with Alaska Native Elders, educators including classroom teachers, natural resource managers, community members, leaders, and climate scientists as participants.
An Integrated Multivariable Visualization Tool for Marine Sanctuary Climate Assessments
NASA Astrophysics Data System (ADS)
Shein, K. A.; Johnston, S.; Stachniewicz, J.; Duncan, B.; Cecil, D.; Ansari, S.; Urzen, M.
2012-12-01
The comprehensive development and use of ecological climate impact assessments by ecosystem managers can be limited by data access and visualization methods that require a priori knowledge about the various large and complex climate data products necessary to those impact assessments. In addition, it can be difficult to geographically and temporally integrate climate and ecological data to fully characterize climate-driven ecological impacts. To address these considerations, we have enhanced and extended the functionality of the NOAA National Climatic Data Center's Weather and Climate Toolkit (WCT). The WCT is a freely available Java-based tool designed to access and display NCDC's georeferenced climate data products (e.g., satellite, radar, and reanalysis gridded data). However, the WCT requires users already know how to obtain the data products, which products are preferred for a given variable, and which products are most relevant to their needs. Developed in cooperation with research and management customers at the Gulf of the Farallones National Marine Sanctuary, the Integrated Marine Protected Area Climate Tools (IMPACT) modification to the WCT simplifies or eliminates these requirements, while simultaneously adding core analytical functionality to the tool. Designed for use by marine ecosystem managers, WCT-IMPACT accesses a suite of data products that have been identified as relevant to marine ecosystem climate impact assessments, such as NOAA's Climate Data Records. WCT-IMPACT regularly crops these products to the geographic boundaries of each included marine protected area (MPA), and those clipped regions are processed to produce MPA-specific analytics. The tool retrieves the most appropriate data files based on the user selection of MPA, environmental variable(s), and time frame. Once the data are loaded, they may be visualized, explored, analyzed, and exported to other formats (e.g., Google KML). Multiple variables may be simultaneously visualized using a 4-panel display and compared via a variety of statistics such as difference, probability, or correlation maps.; NCDC's Weather and Climate Toolkit image of NARR-A non-convective cloud cover (%) over the Pacific Coast on June 17, 2012 at 09:00 GMT.
WEPPCAT is an on-line tool that provides a flexible capability for creating user-determined climate change scenarios for assessing the potential impacts of climate change on sediment loading to streams using the USDA’s Water Erosion Prediction Project (WEPP) Model. In combination...
Cross, Molly S; Zavaleta, Erika S; Bachelet, Dominique; Brooks, Marjorie L; Enquist, Carolyn A F; Fleishman, Erica; Graumlich, Lisa J; Groves, Craig R; Hannah, Lee; Hansen, Lara; Hayward, Greg; Koopman, Marni; Lawler, Joshua J; Malcolm, Jay; Nordgren, John; Petersen, Brian; Rowland, Erika L; Scott, Daniel; Shafer, Sarah L; Shaw, M Rebecca; Tabor, Gary M
2012-09-01
As natural resource management agencies and conservation organizations seek guidance on responding to climate change, myriad potential actions and strategies have been proposed for increasing the long-term viability of some attributes of natural systems. Managers need practical tools for selecting among these actions and strategies to develop a tailored management approach for specific targets at a given location. We developed and present one such tool, the participatory Adaptation for Conservation Targets (ACT) framework, which considers the effects of climate change in the development of management actions for particular species, ecosystems and ecological functions. Our framework is based on the premise that effective adaptation of management to climate change can rely on local knowledge of an ecosystem and does not necessarily require detailed projections of climate change or its effects. We illustrate the ACT framework by applying it to an ecological function in the Greater Yellowstone Ecosystem (Montana, Wyoming, and Idaho, USA)--water flows in the upper Yellowstone River. We suggest that the ACT framework is a practical tool for initiating adaptation planning, and for generating and communicating specific management interventions given an increasingly altered, yet uncertain, climate.
Cross, Molly S.; Zavaleta, Erika S.; Bachelet, Dominique; Brooks, Marjorie L.; Enquist, Carolyn A.F.; Fleishman, Erica; Graumlich, Lisa J.; Groves, Craig R.; Hannah, Lee; Hansen, Lara J.; Hayward, Gregory D.; Koopman, Marni; Lawler, Joshua J.; Malcolm, Jay; Nordgren, John R.; Petersen, Brian; Rowland, Erika; Scott, Daniel; Shafer, Sarah L.; Shaw, M. Rebecca; Tabor, Gary
2012-01-01
As natural resource management agencies and conservation organizations seek guidance on responding to climate change, myriad potential actions and strategies have been proposed for increasing the long-term viability of some attributes of natural systems. Managers need practical tools for selecting among these actions and strategies to develop a tailored management approach for specific targets at a given location. We developed and present one such tool, the participatory Adaptation for Conservation Targets (ACT) framework, which considers the effects of climate change in the development of management actions for particular species, ecosystems and ecological functions. Our framework is based on the premise that effective adaptation of management to climate change can rely on local knowledge of an ecosystem and does not necessarily require detailed projections of climate change or its effects. We illustrate the ACT framework by applying it to an ecological function in the Greater Yellowstone Ecosystem (Montana, Wyoming, and Idaho, USA)—water flows in the upper Yellowstone River. We suggest that the ACT framework is a practical tool for initiating adaptation planning, and for generating and communicating specific management interventions given an increasingly altered, yet uncertain, climate.
Schijven, Jack; Bouwknegt, Martijn; de Roda Husman, Ana Maria; Rutjes, Saskia; Sudre, Bertrand; Suk, Jonathan E; Semenza, Jan C
2013-12-01
Climate change may impact waterborne and foodborne infectious disease, but to what extent is uncertain. Estimating climate-change-associated relative infection risks from exposure to viruses, bacteria, or parasites in water or food is critical for guiding adaptation measures. We present a computational tool for strategic decision making that describes the behavior of pathogens using location-specific input data under current and projected climate conditions. Pathogen-pathway combinations are available for exposure to norovirus, Campylobacter, Cryptosporidium, and noncholera Vibrio species via drinking water, bathing water, oysters, or chicken fillets. Infection risk outcomes generated by the tool under current climate conditions correspond with those published in the literature. The tool demonstrates that increasing temperatures lead to increasing risks for infection with Campylobacter from consuming raw/undercooked chicken fillet and for Vibrio from water exposure. Increasing frequencies of drought generally lead to an elevated infection risk of exposure to persistent pathogens such as norovirus and Cryptosporidium, but decreasing risk of exposure to rapidly inactivating pathogens, like Campylobacter. The opposite is the case with increasing annual precipitation; an upsurge of heavy rainfall events leads to more peaks in infection risks in all cases. The interdisciplinary tool presented here can be used to guide climate change adaptation strategies focused on infectious diseases. © 2013 Society for Risk Analysis.
Case Study 3: Species vulnerability assessment for the Middle Rio Grande, New Mexico
Deborah M. Finch; Megan Friggens; Karen Bagne
2011-01-01
This case study describes a method for scoring terrestrial species that have potential to be vulnerable to climate change. The assessment tool seeks to synthesize complex information related to projected climate changes into a predictive tool for species conservation. The tool was designed to aid managers in prioritizing species management actions in response to...
The EPA and USGS have developed a framework to evaluate the relative vulnerability of near-coastal species to impacts of climate change. This framework is implemented in a web-based tool, the Coastal Biogeographic Risk Analysis Tool (CBRAT). We evaluated the vulnerability of the ...
The EPA and USGS have developed a framework to evaluate the relative vulnerability of near-coastal species to impacts of climate change. This framework was implemented in a web-based tool, the Coastal Biogeographic Risk Analysis Tool (CBRAT). We evaluated the vulnerability of the...
Developing and Validating a New Classroom Climate Observation Assessment Tool
Leff, Stephen S.; Thomas, Duane E.; Shapiro, Edward S.; Paskewich, Brooke; Wilson, Kim; Necowitz-Hoffman, Beth; Jawad, Abbas F.
2011-01-01
The climate of school classrooms, shaped by a combination of teacher practices and peer processes, is an important determinant for children’s psychosocial functioning and is a primary factor affecting bullying and victimization. Given that there are relatively few theoretically-grounded and validated assessment tools designed to measure the social climate of classrooms, our research team developed an observation tool through participatory action research (PAR). This article details how the assessment tool was designed and preliminarily validated in 18 third-, fourth-, and fifth-grade classrooms in a large urban public school district. The goals of this study are to illustrate the feasibility of a PAR paradigm in measurement development, ascertain the psychometric properties of the assessment tool, and determine associations with different indices of classroom levels of relational and physical aggression. PMID:21643447
Developing and Validating a New Classroom Climate Observation Assessment Tool.
Leff, Stephen S; Thomas, Duane E; Shapiro, Edward S; Paskewich, Brooke; Wilson, Kim; Necowitz-Hoffman, Beth; Jawad, Abbas F
2011-01-01
The climate of school classrooms, shaped by a combination of teacher practices and peer processes, is an important determinant for children's psychosocial functioning and is a primary factor affecting bullying and victimization. Given that there are relatively few theoretically-grounded and validated assessment tools designed to measure the social climate of classrooms, our research team developed an observation tool through participatory action research (PAR). This article details how the assessment tool was designed and preliminarily validated in 18 third-, fourth-, and fifth-grade classrooms in a large urban public school district. The goals of this study are to illustrate the feasibility of a PAR paradigm in measurement development, ascertain the psychometric properties of the assessment tool, and determine associations with different indices of classroom levels of relational and physical aggression.
NASA Astrophysics Data System (ADS)
Terando, A. J.; Lascurain, A.; Aldridge, H. D.; Davis, C.
2016-12-01
Climate Voyager provides an innovative way to visualize both large-scale and local climate change projections using a three-map layout and time series plot. This product includes a suite of tools designed to assist with climate risk and opportunity assessments, including changes in average seasonal conditions and the capability to evaluate a variety of different decision-relevant thresholds (e.g. changes in extreme temperature occurrence). Each tool summarizes output from 20 downscaled global climate models and contains a historical average for comparison with the spread of projected future outcomes. The Climate Voyager website is interactive, allowing users to explore both regional and location-specific guidance for two Representative Concentration Pathways (RCPs) and four future 20-year time periods. By presenting climate model projections and measures of uncertainty of specific parameters beyond just annual temperatures and precipitation, Climate Voyager can help a wide variety of decision makers plan for climate changes that may affect them. We present a case study in which a new module was developed within Climate Voyager for use by Tribes and native communities in the eastern U.S. to help make informed resource decisions. In this first attempt, Ramps (Allium tricoccum), a plant species of great cultural significance, was incorporated through consultation with the tribal organization. We will also discuss the process of engagement employed with end-users and the potential to make the Climate Voyager interface an iterative, co-produced process to enhance the usability of climate model information for adaptation planning.
WormBase ParaSite - a comprehensive resource for helminth genomics.
Howe, Kevin L; Bolt, Bruce J; Shafie, Myriam; Kersey, Paul; Berriman, Matthew
2017-07-01
The number of publicly available parasitic worm genome sequences has increased dramatically in the past three years, and research interest in helminth functional genomics is now quickly gathering pace in response to the foundation that has been laid by these collective efforts. A systematic approach to the organisation, curation, analysis and presentation of these data is clearly vital for maximising the utility of these data to researchers. We have developed a portal called WormBase ParaSite (http://parasite.wormbase.org) for interrogating helminth genomes on a large scale. Data from over 100 nematode and platyhelminth species are integrated, adding value by way of systematic and consistent functional annotation (e.g. protein domains and Gene Ontology terms), gene expression analysis (e.g. alignment of life-stage specific transcriptome data sets), and comparative analysis (e.g. orthologues and paralogues). We provide several ways of exploring the data, including genome browsers, genome and gene summary pages, text search, sequence search, a query wizard, bulk downloads, and programmatic interfaces. In this review, we provide an overview of the back-end infrastructure and analysis behind WormBase ParaSite, and the displays and tools available to users for interrogating helminth genomic data. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.
Khan, Ajmal; Biddiss, Elaine
2017-02-01
Stair-climbing is a key component of rehabilitation therapies for children with physical disabilities. This paper reports on the design of a system, Musical Stairs, to provide auditory feedback during stair-climbing therapies. Musical Stairs is composed of two foot-mounted inertial sensors, a step detection algorithm, and an auditory feedback response. In Phase 1, we establish its clinical feasibility via a Wizard-of-Oz AB/BA cross-over design with 17 children, aged 4-6 years, having diverse diagnoses and gait abilities. Self-, therapist- and blinded-observer reports indicated increased motivation with auditory feedback. Phase 2 describes the construction of a database comprised of synchronized video and inertial data associated with 1568 steps up and down stairs completed by 26 children aged 4-6 years with diverse diagnoses and gait. Lastly, in Phase 3, data from 18 children in the database were used to train a rule-based step detection algorithm based on local minima in the acceleration profile and the foot's swing angle. A step detection rate of 96% [SD=3%] and false positive rate of 6% [SD=5%] were achieved with an independent test set (n=8). Recommendations for future development and evaluation are discussed. Copyright © 2017 IPEM. Published by Elsevier Ltd. All rights reserved.
National Stormwater Calculator: Low Impact Development ...
The National Stormwater Calculator (NSC) makes it easy to estimate runoff reduction when planning a new development or redevelopment site with low impact development (LID) stormwater controls. The Calculator is currently deployed as a Windows desktop application. The Calculator is organized as a wizard style application that walks the user through the steps necessary to perform runoff calculations on a single urban sub-catchment of 10 acres or less in size. Using an interactive map, the user can select the sub-catchment location and the Calculator automatically acquires hydrologic data for the site.A new LID cost estimation module has been developed for the Calculator. This project involved programming cost curves into the existing Calculator desktop application. The integration of cost components of LID controls into the Calculator increases functionality and will promote greater use of the Calculator as a stormwater management and evaluation tool. The addition of the cost estimation module allows planners and managers to evaluate LID controls based on comparison of project cost estimates and predicted LID control performance. Cost estimation is accomplished based on user-identified size (or auto-sizing based on achieving volume control or treatment of a defined design storm), configuration of the LID control infrastructure, and other key project and site-specific variables, including whether the project is being applied as part of new development or redevelopm
NASA Astrophysics Data System (ADS)
Yildirim, Serdar; Montanari, Simona; Andersen, Elaine; Narayanan, Shrikanth S.
2003-10-01
Understanding the fine details of children's speech and gestural characteristics helps, among other things, in creating natural computer interfaces. We analyze the acoustic, lexical/non-lexical and spoken/gestural discourse characteristics of young children's speech using audio-video data gathered using a Wizard of Oz technique from 4 to 6 year old children engaged in resolving a series of age-appropriate cognitive challenges. Fundamental and formant frequencies exhibited greater variations between subjects consistent with previous results on read speech [Lee et al., J. Acoust. Soc. Am. 105, 1455-1468 (1999)]. Also, our analysis showed that, in a given bandwidth, phonemic information contained in the speech of young child is significantly less than that of older ones and adults. To enable an integrated analysis, a multi-track annotation board was constructed using the ANVIL tool kit [M. Kipp, Eurospeech 1367-1370 (2001)]. Along with speech transcriptions and acoustic analysis, non-lexical and discourse characteristics, and child's gesture (facial expressions, body movements, hand/head movements) were annotated in a synchronized multilayer system. Initial results showed that younger children rely more on gestures to emphasize their verbal assertions. Younger children use non-lexical speech (e.g., um, huh) associated with frustration and pondering/reflecting more frequently than older ones. Younger children also repair more with humans than with computer.
SWIM: a computational tool to unveiling crucial nodes in complex biological networks
Paci, Paola; Colombo, Teresa; Fiscon, Giulia; Gurtner, Aymone; Pavesi, Giulio; Farina, Lorenzo
2017-01-01
SWItchMiner (SWIM) is a wizard-like software implementation of a procedure, previously described, able to extract information contained in complex networks. Specifically, SWIM allows unearthing the existence of a new class of hubs, called “fight-club hubs”, characterized by a marked negative correlation with their first nearest neighbors. Among them, a special subset of genes, called “switch genes”, appears to be characterized by an unusual pattern of intra- and inter-module connections that confers them a crucial topological role, interestingly mirrored by the evidence of their clinic-biological relevance. Here, we applied SWIM to a large panel of cancer datasets from The Cancer Genome Atlas, in order to highlight switch genes that could be critically associated with the drastic changes in the physiological state of cells or tissues induced by the cancer development. We discovered that switch genes are found in all cancers we studied and they encompass protein coding genes and non-coding RNAs, recovering many known key cancer players but also many new potential biomarkers not yet characterized in cancer context. Furthermore, SWIM is amenable to detect switch genes in different organisms and cell conditions, with the potential to uncover important players in biologically relevant scenarios, including but not limited to human cancer. PMID:28317894
SWIM: a computational tool to unveiling crucial nodes in complex biological networks.
Paci, Paola; Colombo, Teresa; Fiscon, Giulia; Gurtner, Aymone; Pavesi, Giulio; Farina, Lorenzo
2017-03-20
SWItchMiner (SWIM) is a wizard-like software implementation of a procedure, previously described, able to extract information contained in complex networks. Specifically, SWIM allows unearthing the existence of a new class of hubs, called "fight-club hubs", characterized by a marked negative correlation with their first nearest neighbors. Among them, a special subset of genes, called "switch genes", appears to be characterized by an unusual pattern of intra- and inter-module connections that confers them a crucial topological role, interestingly mirrored by the evidence of their clinic-biological relevance. Here, we applied SWIM to a large panel of cancer datasets from The Cancer Genome Atlas, in order to highlight switch genes that could be critically associated with the drastic changes in the physiological state of cells or tissues induced by the cancer development. We discovered that switch genes are found in all cancers we studied and they encompass protein coding genes and non-coding RNAs, recovering many known key cancer players but also many new potential biomarkers not yet characterized in cancer context. Furthermore, SWIM is amenable to detect switch genes in different organisms and cell conditions, with the potential to uncover important players in biologically relevant scenarios, including but not limited to human cancer.
NASA Astrophysics Data System (ADS)
Loibl, Wolfgang; Peters-Anders, Jan; Züger, Johann
2010-05-01
To achieve public awareness and thorough understanding about expected climate changes and their future implications, ways have to be found to communicate model outputs to the public in a scientifically sound and easily understandable way. The newly developed Climate Twins tool tries to fulfil these requirements via an intuitively usable web application, which compares spatial patterns of current climate with future climate patterns, derived from regional climate model results. To get a picture of the implications of future climate in an area of interest, users may click on a certain location within an interactive map with underlying future climate information. A second map depicts the matching Climate Twin areas according to current climate conditions. In this way scientific output can be communicated to the public which allows for experiencing climate change through comparison with well-known real world conditions. To identify climatic coincidence seems to be a simple exercise, but the accuracy and applicability of the similarity identification depends very much on the selection of climate indicators, similarity conditions and uncertainty ranges. Too many indicators representing various climate characteristics and too narrow uncertainty ranges will judge little or no area as regions with similar climate, while too little indicators and too wide uncertainty ranges will address too large regions as those with similar climate which may not be correct. Similarity cannot be just explored by comparing mean values or by calculating correlation coefficients. As climate change triggers an alteration of various indicators, like maxima, minima, variation magnitude, frequency of extreme events etc., the identification of appropriate similarity conditions is a crucial question to be solved. For Climate Twins identification, it is necessary to find a right balance of indicators, similarity conditions and uncertainty ranges, unless the results will be too vague conducting a useful Climate Twins regions search. The Climate Twins tool works actually comparing future climate conditions of a certain source area in the Greater Alpine Region with current climate conditions of entire Europe and the neighbouring southern as well south-eastern areas as target regions. A next version will integrate web crawling features for searching information about climate-related local adaptations observed today in the target region which may turn out as appropriate solution for the source region under future climate conditions. The contribution will present the current tool functionally and will discuss which indicator sets, similarity conditions and uncertainty ranges work best to deliver scientifically sound climate comparisons and distinct mapping results.
Integrated Framework for an Urban Climate Adaptation Tool
NASA Astrophysics Data System (ADS)
Omitaomu, O.; Parish, E. S.; Nugent, P.; Mei, R.; Sylvester, L.; Ernst, K.; Absar, M.
2015-12-01
Cities have an opportunity to become more resilient to future climate change through investments made in urban infrastructure today. However, most cities lack access to credible high-resolution climate change projection information needed to assess and address potential vulnerabilities from future climate variability. Therefore, we present an integrated framework for developing an urban climate adaptation tool (Urban-CAT). Urban-CAT consists of four modules. Firstly, it provides climate projections at different spatial resolutions for quantifying urban landscape. Secondly, this projected data is combined with socio-economic data using leading and lagging indicators for assessing landscape vulnerability to climate extremes (e.g., urban flooding). Thirdly, a neighborhood scale modeling approach is presented for identifying candidate areas for adaptation strategies (e.g., green infrastructure as an adaptation strategy for urban flooding). Finally, all these capabilities are made available as a web-based tool to support decision-making and communication at the neighborhood and city levels. In this paper, we present some of the methods that drive each of the modules and demo some of the capabilities available to-date using the City of Knoxville in Tennessee as a case study.
A probabilistic approach to emissions from transportation sector in the coming decades
NASA Astrophysics Data System (ADS)
Yan, F.; Winijkul, E.; Bond, T. C.; Streets, D. G.
2010-12-01
Future emission estimates are necessary for understanding climate change, designing national and international strategies for air quality control and evaluating mitigation policies. Emission inventories are uncertain and future projections even more so. Most current emission projection models are deterministic; in other words, there is only single answer for each scenario. As a result, uncertainties have not been included in the estimation of climate forcing or other environmental effects, but it is important to quantify the uncertainty inherent in emission projections. We explore uncertainties of emission projections from transportation sector in the coming decades by sensitivity analysis and Monte Carlo simulations. These projections are based on a technology driven model: the Speciated Pollutants Emission Wizard (SPEW)-Trend, which responds to socioeconomic conditions in different economic and mitigation scenarios. The model contains detail about technology stock, including consumption growth rates, retirement rates, timing of emission standards, deterioration rates and transition rates from normal vehicles to vehicles with extremely high emission factors (termed “superemitters”). However, understanding of these parameters, as well as relationships with socioeconomic conditions, is uncertain. We project emissions from transportation sectors under four different IPCC scenarios (A1B, A2, B1, and B2). Due to the later implementation of advanced emission standards, Africa has the highest annual growth rate (1.2-3.1%) from 2010 to 2050. Superemitters begin producing more than 50% of global emissions around year 2020. We estimate uncertainties from the relationships between technological change and socioeconomic conditions and examine their impact on future emissions. Sensitivities to parameters governing retirement rates are highest, causing changes in global emissions from-26% to +55% on average from 2010 to 2050. We perform Monte Carlo simulations to examine how these uncertainties will affect total emissions if any input parameter that has inherent the uncertainties is substituted by a range of values-probability distribution and varies at the same time; the 95% confidence interval of global emission annual growth rate is -1.9% to +0.2% per year.
Climate change refugia as a tool for climate adaptation
Climate change refugia, areas relatively buffered from contemporary climate change so as to increase persistence of valued physical, ecological, and cultural resources, are considered as potential adaptation options in the face of anthropogenic climate change. In a collaboration ...
Cryptography; An Introductory Bibliography of Books and Periodical Articles.
1982-06-05
Martin’s H25 Pr., c1976. D810 Johnson, Brian. The Secret War, N.Y., NY: Methuen, c1978. $2J6 D810 Jones, Reginald Victor. The Wizard War: British...Park Pr., c1976. UB290 Langie, Andre. Cryptography, London, Eng.: Constable & L3 Co., Ltd., c1922. D810 Lawson, Don. The Secret World War II, N.Y., NY...Writing, N.Y., NY: W.W. Norton & Co., c1943. Z6724 Smith, Myron J., Jr. The Secret Wars, Vol. 1: Intelligence, I7 Propaganda and Psychological Warfare
OpenNEX, a private-public partnership in support of the national climate assessment
NASA Astrophysics Data System (ADS)
Nemani, R. R.; Wang, W.; Michaelis, A.; Votava, P.; Ganguly, S.
2016-12-01
The NASA Earth Exchange (NEX) is a collaborative computing platform that has been developed with the objective of bringing scientists together with the software tools, massive global datasets, and supercomputing resources necessary to accelerate research in Earth systems science and global change. NEX is funded as an enabling tool for sustaining the national climate assessment. Over the past five years, researchers have used the NEX platform and produced a number of data sets highly relevant to the National Climate Assessment. These include high-resolution climate projections using different downscaling techniques and trends in historical climate from satellite data. To enable a broader community in exploiting the above datasets, the NEX team partnered with public cloud providers to create the OpenNEX platform. OpenNEX provides ready access to NEX data holdings on a number of public cloud platforms along with pertinent analysis tools and workflows in the form of Machine Images and Docker Containers, lectures and tutorials by experts. We will showcase some of the applications of OpenNEX data and tools by the community on Amazon Web Services, Google Cloud and the NEX Sandbox.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Nugent, Philip J; Omitaomu, Olufemi A; Parish, Esther S
The urban climate is changing rapidly. Therefore, climate change and its projected impacts on environmental conditions must be considered in assessing and comparing urban planning alternatives. In this paper, we present an integrated framework for urban climate adaptation tool (Urban-CAT) that will help cities to plan for, rather than react to, possible risks. Urban-CAT will be developed as a scenario planning tool that is locally relevant to existing urban decision-making processes.
Improved Analysis of Earth System Models and Observations using Simple Climate Models
NASA Astrophysics Data System (ADS)
Nadiga, B. T.; Urban, N. M.
2016-12-01
Earth system models (ESM) are the most comprehensive tools we have to study climate change and develop climate projections. However, the computational infrastructure required and the cost incurred in running such ESMs precludes direct use of such models in conjunction with a wide variety of tools that can further our understanding of climate. Here we are referring to tools that range from dynamical systems tools that give insight into underlying flow structure and topology to tools that come from various applied mathematical and statistical techniques and are central to quantifying stability, sensitivity, uncertainty and predictability to machine learning tools that are now being rapidly developed or improved. Our approach to facilitate the use of such models is to analyze output of ESM experiments (cf. CMIP) using a range of simpler models that consider integral balances of important quantities such as mass and/or energy in a Bayesian framework.We highlight the use of this approach in the context of the uptake of heat by the world oceans in the ongoing global warming. Indeed, since in excess of 90% of the anomalous radiative forcing due greenhouse gas emissions is sequestered in the world oceans, the nature of ocean heat uptake crucially determines the surface warming that is realized (cf. climate sensitivity). Nevertheless, ESMs themselves are never run long enough to directly assess climate sensitivity. So, we consider a range of models based on integral balances--balances that have to be realized in all first-principles based models of the climate system including the most detailed state-of-the art climate simulations. The models range from simple models of energy balance to those that consider dynamically important ocean processes such as the conveyor-belt circulation (Meridional Overturning Circulation, MOC), North Atlantic Deep Water (NADW) formation, Antarctic Circumpolar Current (ACC) and eddy mixing. Results from Bayesian analysis of such models using both ESM experiments and actual observations are presented. One such result points to the importance of direct sequestration of heat below 700 m, a process that is not allowed for in the simple models that have been traditionally used to deduce climate sensitivity.
Urban-Climate Adaptation Tool: Optimizing Green Infrastructure
NASA Astrophysics Data System (ADS)
Fellows, J. D.; Bhaduri, B. L.
2016-12-01
Cities have an opportunity to become more resilient to future climate change and green through investments made in urban infrastructure today. However, most cities lack access to credible high-resolution climate change projection and other environmental information needed to assess and address potential vulnerabilities from future climate variability. Therefore, we present an integrated framework for developing an urban climate adaptation tool (Urban-CAT). The initial focus of Urban-CAT is to optimize the placement of green infrastructure (e.g., green roofs, porous pavements, retention basins, etc.) to be better control stormwater runoff and lower the ambient urban temperature. Urban-CAT consists of four modules. Firstly, it provides climate projections at different spatial resolutions for quantifying urban landscape. Secondly, this projected data is combined with socio-economic and other environmental data using leading and lagging indicators for assessing landscape vulnerability to climate extremes (e.g., urban flooding). Thirdly, a neighborhood scale modeling approach is presented for identifying candidate areas for adaptation strategies (e.g., green infrastructure as an adaptation strategy for urban flooding). Finally, all these capabilities are made available as a web-based tool to support decision-making and communication at the neighborhood and city levels. This presentation will highlight the methods that drive each of the modules, demo some of the capabilities using Knoxville Tennessee as a case study, and discuss the challenges of working with communities to incorporate climate change into their planning. Next steps on Urban-CAT is to additional capabilities to create a comprehensive climate adaptation tool, including energy, transportation, health, and other key urban services.
Perry, Cary; LeMay, Nancy; Rodway, Greg; Tracy, Allison; Galer, Joan
2005-01-01
Background This article describes the validation of an instrument to measure work group climate in public health organizations in developing countries. The instrument, the Work Group Climate Assessment Tool (WCA), was applied in Brazil, Mozambique, and Guinea to assess the intermediate outcomes of a program to develop leadership for performance improvement. Data were collected from 305 individuals in 42 work groups, who completed a self-administered questionnaire. Methods The WCA was initially validated using Cronbach's alpha reliability coefficient and exploratory factor analysis. This article presents the results of a second validation study to refine the initial analyses to account for nested data, to provide item-level psychometrics, and to establish construct validity. Analyses included eigenvalue decomposition analysis, confirmatory factor analysis, and validity and reliability analyses. Results This study confirmed the validity and reliability of the WCA across work groups with different demographic characteristics (gender, education, management level, and geographical location). The study showed that there is agreement between the theoretical construct of work climate and the items in the WCA tool across different populations. The WCA captures a single perception of climate rather than individual sub-scales of clarity, support, and challenge. Conclusion The WCA is useful for comparing the climates of different work groups, tracking the changes in climate in a single work group over time, or examining differences among individuals' perceptions of their work group climate. Application of the WCA before and after a leadership development process can help work groups hold a discussion about current climate and select a target for improvement. The WCA provides work groups with a tool to take ownership of their own group climate through a process that is simple and objective and that protects individual confidentiality. PMID:16223447
NASA Astrophysics Data System (ADS)
Shulgina, T. M.; Gordova, Y. E.; Martynova, Y. V.
2014-12-01
A problem of making education relevant to the workplace tasks is a key problem of higher education in the professional field of environmental sciences. To answer this challenge several new courses for students of "Climatology" and "Meteorology" specialties were developed and implemented at the Tomsk State University, which comprises theoretical knowledge from up-to-date environmental sciences with computational tasks. To organize the educational process we use an open-source course management system Moodle (www.moodle.org). It gave us an opportunity to combine text and multimedia in a theoretical part of educational courses. The hands-on approach is realized through development of innovative trainings which are performed within the information-computational web GIS platform "Climate" (http://climate.scert.ru/). The platform has a set of tools and data bases allowing a researcher to perform climate changes analysis on the selected territory. The tools are also used for students' trainings, which contain practical tasks on climate modeling and climate changes assessment and analysis. Laboratory exercises are covering three topics: "Analysis of regional climate changes"; "Analysis of climate extreme indices on the regional scale"; and "Analysis of future climate". They designed to consolidate students' knowledge of discipline, to instill in them the skills to work independently with large amounts of geophysical data using modern processing and analysis tools of web-GIS platform "Climate" and to train them to present results obtained on laboratory work as reports with the statement of the problem, the results of calculations and logically justified conclusion. Thus, students are engaged in n the use of modern tools of the geophysical data analysis and it cultivates dynamic of their professional learning. The approach can help us to fill in this gap because it is the only approach that offers experience, increases students involvement, advance the use of modern information and communication tools. Financial support for this research from the RFBR (13-05-12034, 14-05-00502), SB RAS project VIII.80.2.1 and grant of the President of RF (№ 181) is acknowledged.
Review: visual analytics of climate networks
NASA Astrophysics Data System (ADS)
Nocke, T.; Buschmann, S.; Donges, J. F.; Marwan, N.; Schulz, H.-J.; Tominski, C.
2015-09-01
Network analysis has become an important approach in studying complex spatiotemporal behaviour within geophysical observation and simulation data. This new field produces increasing numbers of large geo-referenced networks to be analysed. Particular focus lies currently on the network analysis of the complex statistical interrelationship structure within climatological fields. The standard procedure for such network analyses is the extraction of network measures in combination with static standard visualisation methods. Existing interactive visualisation methods and tools for geo-referenced network exploration are often either not known to the analyst or their potential is not fully exploited. To fill this gap, we illustrate how interactive visual analytics methods in combination with geovisualisation can be tailored for visual climate network investigation. Therefore, the paper provides a problem analysis relating the multiple visualisation challenges to a survey undertaken with network analysts from the research fields of climate and complex systems science. Then, as an overview for the interested practitioner, we review the state-of-the-art in climate network visualisation and provide an overview of existing tools. As a further contribution, we introduce the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis, including alternative geographic projections, edge bundling, and 3-D network support. Using these tools, the paper illustrates the application potentials of visual analytics for climate networks based on several use cases including examples from global, regional, and multi-layered climate networks.
Review: visual analytics of climate networks
NASA Astrophysics Data System (ADS)
Nocke, T.; Buschmann, S.; Donges, J. F.; Marwan, N.; Schulz, H.-J.; Tominski, C.
2015-04-01
Network analysis has become an important approach in studying complex spatiotemporal behaviour within geophysical observation and simulation data. This new field produces increasing amounts of large geo-referenced networks to be analysed. Particular focus lies currently on the network analysis of the complex statistical interrelationship structure within climatological fields. The standard procedure for such network analyses is the extraction of network measures in combination with static standard visualisation methods. Existing interactive visualisation methods and tools for geo-referenced network exploration are often either not known to the analyst or their potential is not fully exploited. To fill this gap, we illustrate how interactive visual analytics methods in combination with geovisualisation can be tailored for visual climate network investigation. Therefore, the paper provides a problem analysis, relating the multiple visualisation challenges with a survey undertaken with network analysts from the research fields of climate and complex systems science. Then, as an overview for the interested practitioner, we review the state-of-the-art in climate network visualisation and provide an overview of existing tools. As a further contribution, we introduce the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis, including alternative geographic projections, edge bundling, and 3-D network support. Using these tools, the paper illustrates the application potentials of visual analytics for climate networks based on several use cases including examples from global, regional, and multi-layered climate networks.
Climate Neutral Research Campuses | NREL
the background. Set an example for climate neutrality. Use NREL's climate action planning process and more. Climate Action Planning Process Identify the best technology options for a climate action plan . Climate Action Planning Tool Identify the best technology options for a climate action plan. Technology
Garrison Leadership: Enlisting Others
2010-01-01
days), the GC should conduct an organizational diagnosis to assess the culture and command climate using the existing IMCOM tools of the or...conduct an organizational diagnosis to assess the culture and command climate using the existing IMCOM tools of the or- ganizational self-assessment
2017-08-01
This large repository of climate model results for North America (Wang and Kotamarthi 2013, 2014, 2015) is stored in Network Common Data Form (NetCDF...Network Common Data Form (NetCDF). UCAR/Unidata Program Center, Boulder, CO. Available at: http://www.unidata.ucar.edu/software/netcdf. Accessed on 6/20...emissions diverge from each other regarding fossil fuel use, technology, and other socioeconomic factors. As a result, the estimated emissions for each of
A Field Guide to Extra-Tropical Cyclones: Comparing Models to Observations
NASA Astrophysics Data System (ADS)
Bauer, M.
2008-12-01
Climate it is said is the accumulation of weather. And weather is not the concern of climate models. Justification for this latter sentiment has long hidden behind coarse model resolutions and blunt validation tools based on climatological maps and the like. The spatial-temporal resolutions of today's models and observations are converging onto meteorological scales however, which means that with the correct tools we can test the largely unproven assumption that climate model weather is correct enough, or at least lacks perverting biases, such that its accumulation does in fact result in a robust climate prediction. Towards this effort we introduce a new tool for extracting detailed cyclone statistics from climate model output. These include the usual cyclone distribution statistics (maps, histograms), but also adaptive cyclone- centric composites. We have also created a complementary dataset, The MAP Climatology of Mid-latitude Storminess (MCMS), which provides a detailed 6 hourly assessment of the areas under the influence of mid- latitude cyclones based on Reanalysis products. Using this we then extract complimentary composites from sources such as ISCCP and GPCP to create a large comparative dataset for climate model validation. A demonstration of the potential usefulness of these tools will be shown. dime.giss.nasa.gov/mcms/mcms.html
Leveraging federal science data and tools to help communities & business build climate resilience
NASA Astrophysics Data System (ADS)
Herring, D.
2016-12-01
Decision-makers in every sector and region of the United States are seeking actionable science-based information to help them understand and manage their climate-related risks. Translating data, tools and information from the domain of climate science to the domains of municipal, social, and economic decision-making raises complex questions—e.g., how to communicate causes and impacts of climate variability and change; how to show projections of plausible future climate scenarios; how to characterize and quantify vulnerabilities, risks, and opportunities facing communities and businesses; and how to make and implement "win-win" adaptation plans. These are the types of challenges being addressed by a public-private partnership of federal agencies, academic institutions, non-governmental organizations, and private businesses that are contributing to the development of the U.S. Climate Resilience Toolkit (toolkit.climate.gov), a new website designed to help people build resilience to extreme events caused by both natural climate variability and long-term climate change. The site's Climate Explorer is designed to help people understand potential climate conditions over the course of this century. It offers easy access to downloadable maps, graphs, and data tables of observed and projected temperature, precipitation and other decision-relevant climate variables dating back to 1950 and out to 2100. Of course, climate change is only one of many variables affecting decisions about the future so the Toolkit also ties climate information to a wide range of other relevant tools and information to help users to explore their vulnerabilities and risks. In this session, we will describe recent enhancements to the Toolkit, lessons learned from user engagements, and evidence that our approach of coupling scientific information with actionable decision-making processes is helping Americans build resilience to climate-related impacts.
NASA Astrophysics Data System (ADS)
Kadow, C.; Illing, S.; Kunst, O.; Cubasch, U.
2014-12-01
The project 'Integrated Data and Evaluation System for Decadal Scale Prediction' (INTEGRATION) as part of the German decadal prediction project MiKlip develops a central evaluation system. The fully operational hybrid features a HPC shell access and an user friendly web-interface. It employs one common system with a variety of verification tools and validation data from different projects in- and outside of MiKlip. The evaluation system is located at the German Climate Computing Centre (DKRZ) and has direct access to the bulk of its ESGF node including millions of climate model data sets, e.g. from CMIP5 and CORDEX. The database is organized by the international CMOR standard using the meta information of the self-describing model, reanalysis and observational data sets. Apache Solr is used for indexing the different data projects into one common search environment. This implemented meta data system with its advanced but easy to handle search tool supports users, developers and their tools 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. Facilitating the provision and usage of tools and climate data increases automatically the number of scientists working with the data sets and identify discrepancies. Additionally, the history and configuration sub-system stores every analysis performed with the evaluation system in a MySQL database. Configurations and results of the tools can be shared among scientists via shell or web-system. Therefore, plugged-in tools gain automatically from transparency and reproducibility. Furthermore, when configurations match while starting a evaluation tool, the system suggests to use results already produced by other users-saving CPU time, I/O and disk space. This study presents the different techniques and advantages of such a hybrid evaluation system making use of a Big Data HPC in climate science. website: www-miklip.dkrz.de visitor-login: guest password: miklip
NASA Astrophysics Data System (ADS)
Kadow, Christopher; Illing, Sebastian; Kunst, Oliver; Ulbrich, Uwe; Cubasch, Ulrich
2015-04-01
The project 'Integrated Data and Evaluation System for Decadal Scale Prediction' (INTEGRATION) as part of the German decadal prediction project MiKlip develops a central evaluation system. The fully operational hybrid features a HPC shell access and an user friendly web-interface. It employs one common system with a variety of verification tools and validation data from different projects in- and outside of MiKlip. The evaluation system is located at the German Climate Computing Centre (DKRZ) and has direct access to the bulk of its ESGF node including millions of climate model data sets, e.g. from CMIP5 and CORDEX. The database is organized by the international CMOR standard using the meta information of the self-describing model, reanalysis and observational data sets. Apache Solr is used for indexing the different data projects into one common search environment. This implemented meta data system with its advanced but easy to handle search tool supports users, developers and their tools 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. Facilitating the provision and usage of tools and climate data increases automatically the number of scientists working with the data sets and identify discrepancies. Additionally, the history and configuration sub-system stores every analysis performed with the evaluation system in a MySQL database. Configurations and results of the tools can be shared among scientists via shell or web-system. Therefore, plugged-in tools gain automatically from transparency and reproducibility. Furthermore, when configurations match while starting a evaluation tool, the system suggests to use results already produced by other users-saving CPU time, I/O and disk space. This study presents the different techniques and advantages of such a hybrid evaluation system making use of a Big Data HPC in climate science. website: www-miklip.dkrz.de visitor-login: click on "Guest"
A tool to assess potential for alien plant establishment and expansion under climate change.
Roger, Erin; Duursma, Daisy Englert; Downey, Paul O; Gallagher, Rachael V; Hughes, Lesley; Steel, Jackie; Johnson, Stephen B; Leishman, Michelle R
2015-08-15
Predicting the influence of climate change on the potential distribution of naturalised alien plant species is an important and challenging task. While prioritisation of management actions for alien plants under current climatic conditions has been widely adopted, very few systems explicitly incorporate the potential of future changes in climate conditions to influence the distribution of alien plant species. Here, we develop an Australia-wide screening tool to assess the potential of naturalised alien plants to establish and spread under both current and future climatic conditions. The screening tool developed uses five spatially explicit criteria to establish the likelihood of alien plant population establishment and expansion under baseline climate conditions and future climates for the decades 2035 and 2065. Alien plants are then given a threat rating according to current and future threat to enable natural resource managers to focus on those species that pose the largest potential threat now and in the future. To demonstrate the screening tool, we present results for a representative sample of approximately 10% (n = 292) of Australia's known, naturalised alien plant species. Overall, most alien plant species showed decreases in area of habitat suitability under future conditions compared to current conditions and therefore the threat rating of most alien plant species declined between current and future conditions. Use of the screening tool is intended to assist natural resource managers in assessing the threat of alien plant establishment and spread under current and future conditions and thus prioritise detailed weed risk assessments for those species that pose the greatest threat. The screening tool is associated with a searchable database for all 292 alien plant species across a range of spatial scales, available through an interactive web-based portal at http://weedfutures.net/. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.
Carlfjord, Siw; Festin, Karin
2015-09-10
There is a need for new knowledge regarding determinants of a successful implementation of new methods in health care. The role of a receptive context for change to support effective diffusion has been underlined, and could be studied by assessing the organizational climate. The aim of this study was to assess the association between organizational climate when a computer-based lifestyle intervention tool (CLT) was introduced in primary health care (PHC) and the implementation outcome in terms of how the tool was perceived and used after 2 years. The CLT was offered to 32 PHC units in Sweden, of which 22 units agreed to participate in the study. Before the introduction of the CLT, the creative climate at each participating unit was assessed. After 24 months, a follow-up questionnaire was distributed to the staff to assess how the CLT was perceived and how it was used. A question on the perceived need for the CLT was also included. The units were divided into three groups according to the creative climate: high, medium and low. The main finding was that the units identified as having a positive creative climate demonstrated more frequent use and more positive perceptions regarding the new tool than those with the least positive creative climate. More positive perceptions were seen at both individual and unit levels. According to the results from this study there is an association between organizational climate at baseline and implementation outcome after 2 years when a tool for lifestyle intervention is introduced in PHC in Sweden. Further studies are needed before measurement of organizational climate at baseline can be recommended in order to predict implementation outcome.
Climate Adaptation is About More Than Climate: Value-Driven Science Delivery
NASA Astrophysics Data System (ADS)
Swanston, C.
2015-12-01
Efforts to deliver relevant scientific information and tools to diverse stakeholders have dramatically increased in recent years with the intention of promoting climate change adaptation. Much work has been done to understand the barriers to action, but these largely overlook the need to frame the discussion in terms of stakeholder values and co-create innovative solutions that meet their individual needs. A partnership-based effort in the upper Midwest and Northeast called the Climate Change Response Framework (CCRF; www.forestadaptation.org) ensures relevance, breadth, and credibility of its products through stakeholder inclusion at all levels. The fundamental role of the CCRF is to help people meet their land stewardship goals while minimizing climate risk. This represents a subtle but important shift in focus to people and their values, as opposed to climate change and its effects. The CCRF uses a climate planning tool, the Adaptation Workbook (www.adaptationworkbook.org), along with ecosystem vulnerability assessments and a diverse "menu" of adaptation approaches to generate site-specific adaptation actions that meet explicit conservation objectives. These tools are integrated into an Adaptation Planning and Practices workshop that leads organizations through this structured process of designing adaptation tactics for their projects and plans. All of these tools were developed with stakeholders, or in response to their direct and continuing feedback. The CCRF has involved thousands of people and over 100 organizations, published six ecoregional vulnerability assessments with more than 130 authors, and generated more than 125 intentional adaptation demonstrations in real-world land management projects on federal, state, tribal, county, conservancy, and private lands. The CCRF contributes strongly to the USDA Regional Climate Hubs, working on the applied end of the continuum of climate services occupied by providers such as the CSCs, LCCs, RISAs, and RCCs.
Earth Observations taken by the Expedition 13 crew
2006-07-19
ISS013-E-54243 (19 July 2006) --- Crater Lake, Oregon is featured in this image photographed by an Expedition 13 crewmember on the International Space Station. Crater Lake is formed from the caldera (collapsed magma chamber) of a former volcano known as Mount Mazama. Part of the Cascades volcanic chain, Mount Mazama is situated between the Three Sisters volcanoes to the north and Mount Shasta to the south. While considered a dormant volcano, Crater Lake is part of the United States Geological Survey Cascades Volcano Observatory seismic monitoring network. The dark blue water coloration is typical of the 592 meter (1943 feet) deep Crater Lake; light blue-green areas to the southeast of Wizard Island (along the southern crater rim) most probably correspond to particulates either on or just below the water surface. A light dusting of snow fills the summit cone of Wizard Island. Some of the older lava flows in the area are associated with Mount Scott to the east-southeast of the Lake. Water is lost only by evaporation and seepage, and is only replenished by rainwater and snowmelt from the surrounding crater walls. These processes help maintain minimal sediment input into the lake and exceptional water clarity. The Crater Lake ecosystem is of particular interest to ecologists because of its isolation from the regional landscape, and its overall pristine quality is important to recreational users of Crater Lake National Park (447,240 visitors in 2005). The United States National Park Service maintains programs to monitor changes (both natural and human impacts) to Crater Lake.
NASA Astrophysics Data System (ADS)
Chaudhary, A.; DeMarle, D.; Burnett, B.; Harris, C.; Silva, W.; Osmari, D.; Geveci, B.; Silva, C.; Doutriaux, C.; Williams, D. N.
2013-12-01
The impact of climate change will resonate through a broad range of fields including public health, infrastructure, water resources, and many others. Long-term coordinated planning, funding, and action are required for climate change adaptation and mitigation. Unfortunately, widespread use of climate data (simulated and observed) in non-climate science communities is impeded by factors such as large data size, lack of adequate metadata, poor documentation, and lack of sufficient computational and visualization resources. We present ClimatePipes to address many of these challenges by creating an open source platform that provides state-of-the-art, user-friendly data access, analysis, and visualization for climate and other relevant geospatial datasets, making the climate data available to non-researchers, decision-makers, and other stakeholders. The overarching goals of ClimatePipes are: - Enable users to explore real-world questions related to climate change. - Provide tools for data access, analysis, and visualization. - Facilitate collaboration by enabling users to share datasets, workflows, and visualization. ClimatePipes uses a web-based application platform for its widespread support on mainstream operating systems, ease-of-use, and inherent collaboration support. The front-end of ClimatePipes uses HTML5 (WebGL, Canvas2D, CSS3) to deliver state-of-the-art visualization and to provide a best-in-class user experience. The back-end of the ClimatePipes is built around Python using the Visualization Toolkit (VTK, http://vtk.org), Climate Data Analysis Tools (CDAT, http://uv-cdat.llnl.gov), and other climate and geospatial data processing tools such as GDAL and PROJ4. ClimatePipes web-interface to query and access data from remote sources (such as ESGF). Shown in the figure is climate data layer from ESGF on top of map data layer from OpenStreetMap. The ClimatePipes workflow editor provides flexibility and fine grained control, and uses the VisTrails (http://www.vistrails.org) workflow engine in the backend.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-03-01
... an improved understanding of methodological challenges associated with integrating existing tools and... methodological challenges associated with integrating existing tools (e.g., climate models, downscaling... sensitivity to methodological choices such as different approaches for downscaling global climate change...
Mawdsley, Jonathan R; O'Malley, Robin; Ojima, Dennis S
2009-10-01
The scientific literature contains numerous descriptions of observed and potential effects of global climate change on species and ecosystems. In response to anticipated effects of climate change, conservation organizations and government agencies are developing "adaptation strategies" to facilitate the adjustment of human society and ecological systems to altered climate regimes. We reviewed the literature and climate-change adaptation plans that have been developed in United States, Canada, England, México, and South Africa and found 16 general adaptation strategies that relate directly to the conservation of biological diversity. These strategies can be grouped into four broad categories: land and water protection and management; direct species management; monitoring and planning; and law and policy. Tools for implementing these strategies are similar or identical to those already in use by conservationists worldwide (land and water conservation, ecological restoration, agrienvironment schemes, species translocation, captive propagation, monitoring, natural resource planning, and legislation/regulation). Although our review indicates natural resource managers already have many tools that can be used to address climate-change effects, managers will likely need to apply these tools in novel and innovative ways to meet the unprecedented challenges posed by climate change.
NASA Astrophysics Data System (ADS)
Duffy, P. B.; Colohan, P.; Driggers, R.; Herring, D.; Laurier, F.; Petes, L.; Ruffo, S.; Tilmes, C.; Venkataraman, B.; Weaver, C. P.
2014-12-01
Effective adaptation to impacts of climate change requires best-available information. To be most useful, this information should be easily found, well-documented, and translated into tools that decision-makers use and trust. To meet these needs, the President's Climate Action Plan includes efforts to develop "actionable climate science". The Climate Data Initiative (CDI) leverages the Federal Government's extensive, open data resources to stimulate innovation and private-sector entrepreneurship in support of actions to prepare for climate change. The Initiative forges commitments and partnerships from the private, NGO, academic, and public sectors to create data-driven tools. Open data from Federal agencies to support this innovation is available on Climate.Data.gov, initially focusing on coastal flooding but soon to expand to topics including food, energy, water, energy, transportation, and health. The Climate Resilience Toolkit (CRT) will facilitate access to data-driven resilience tools, services, and best practices, including those accessible through the CDI. The CRT will also include access to training and tutorials, case studies, engagement forums, and other information sources. The Climate Action Plan also calls for a public-private partnership on extreme weather risk, with the goal of generating improved assessments of risk from different types of extreme weather events, using methods and data that are transparent and accessible. Finally, the U.S. Global Change Research Program and associated agencies work to advance the science necessary to inform decisions and sustain assessments. Collectively, these efforts represent increased emphasis across the Federal Government on the importance of information to support climate resilience.
GC31G-1182: Opennex, a Private-Public Partnership in Support of the National Climate Assessment
NASA Technical Reports Server (NTRS)
Nemani, Ramakrishna R.; Wang, Weile; Michaelis, Andrew; Votava, Petr; Ganguly, Sangram
2016-01-01
The NASA Earth Exchange (NEX) is a collaborative computing platform that has been developed with the objective of bringing scientists together with the software tools, massive global datasets, and supercomputing resources necessary to accelerate research in Earth systems science and global change. NEX is funded as an enabling tool for sustaining the national climate assessment. Over the past five years, researchers have used the NEX platform and produced a number of data sets highly relevant to the National Climate Assessment. These include high-resolution climate projections using different downscaling techniques and trends in historical climate from satellite data. To enable a broader community in exploiting the above datasets, the NEX team partnered with public cloud providers to create the OpenNEX platform. OpenNEX provides ready access to NEX data holdings on a number of public cloud platforms along with pertinent analysis tools and workflows in the form of Machine Images and Docker Containers, lectures and tutorials by experts. We will showcase some of the applications of OpenNEX data and tools by the community on Amazon Web Services, Google Cloud and the NEX Sandbox.
Tempest: Tools for Addressing the Needs of Next-Generation Climate Models
NASA Astrophysics Data System (ADS)
Ullrich, P. A.; Guerra, J. E.; Pinheiro, M. C.; Fong, J.
2015-12-01
Tempest is a comprehensive simulation-to-science infrastructure that tackles the needs of next-generation, high-resolution, data intensive climate modeling activities. This project incorporates three key components: TempestDynamics, a global modeling framework for experimental numerical methods and high-performance computing; TempestRemap, a toolset for arbitrary-order conservative and consistent remapping between unstructured grids; and TempestExtremes, a suite of detection and characterization tools for identifying weather extremes in large climate datasets. In this presentation, the latest advances with the implementation of this framework will be discussed, and a number of projects now utilizing these tools will be featured.
Introduction to Federal and EPA Climate Change Web Resources
Presentation provides an overview of four climate data and tool websites: the US Global Change Research Program (USGCRP) and Climate Resilience Toolkit (interagency websites); the main EPA climate change website; and the internal EPA Adaptation Resource Center website.
Transforming data into usable knowledge: the CIRC experience
NASA Astrophysics Data System (ADS)
Mote, P.; Lach, D.; Hartmann, H.; Abatzoglou, J. T.; Stevenson, J.
2017-12-01
NOAA's northwest RISA, the Climate Impacts Research Consortium, emphasizes the transformation of data into usable knowledge. This effort involves physical scientists (e.g., Abatzoglou) building web-based tools with climate and hydrologic data and model output, a team performing data mining to link crop loss claims to droughts, social scientists (eg., Lach, Hartmann) evaluating the effectiveness of such tools at communicating with end users, and two-way engagement with a wide variety of audiences who are interested in using and improving the tools. Unusual in this effort is the seamless integration across timescales past, present, and future; data mining; and the level of effort in evaluating the tools. We provide examples of agriculturally relevant climate variables (e.g. growing degree days, day of first fall freeze) and describe the iterative process of incorporating user feedback.
Tuberville, Tracey D; Andrews, Kimberly M; Sperry, Jinelle H; Grosse, Andrew M
2015-10-01
Climate change threatens biodiversity globally, yet it can be challenging to predict which species may be most vulnerable. Given the scope of the problem, it is imperative to rapidly assess vulnerability and identify actions to decrease risk. Although a variety of tools have been developed to assess climate change vulnerability, few have been evaluated with regard to their suitability for certain taxonomic groups. Due to their ectothermic physiology, low vagility, and strong association with temporary wetlands, reptiles and amphibians may be particularly vulnerable relative to other groups. Here, we evaluate use of the NatureServe Climate Change Vulnerability Index (CCVI) to assess a large suite of herpetofauna from the Sand Hills Ecoregion of the southeastern United States. Although data were frequently lacking for certain variables (e.g., phenological response to climate change, genetic variation), sufficient data were available to evaluate all 117 species. Sensitivity analyses indicated that results were highly dependent on size of assessment area and climate scenario selection. In addition, several ecological traits common in, but relatively unique to, herpetofauna are likely to contribute to their vulnerability and need special consideration during the scoring process. Despite some limitations, the NatureServe CCVI was a useful tool for screening large numbers of reptile and amphibian species. We provide general recommendations as to how the CCVI tool's application to herpetofauna can be improved through more specific guidance to the user regarding how to incorporate unique physiological and behavioral traits into scoring existing sensitivity factors and through modification to the assessment tool itself.
NASA Astrophysics Data System (ADS)
Tuberville, Tracey D.; Andrews, Kimberly M.; Sperry, Jinelle H.; Grosse, Andrew M.
2015-10-01
Climate change threatens biodiversity globally, yet it can be challenging to predict which species may be most vulnerable. Given the scope of the problem, it is imperative to rapidly assess vulnerability and identify actions to decrease risk. Although a variety of tools have been developed to assess climate change vulnerability, few have been evaluated with regard to their suitability for certain taxonomic groups. Due to their ectothermic physiology, low vagility, and strong association with temporary wetlands, reptiles and amphibians may be particularly vulnerable relative to other groups. Here, we evaluate use of the NatureServe Climate Change Vulnerability Index (CCVI) to assess a large suite of herpetofauna from the Sand Hills Ecoregion of the southeastern United States. Although data were frequently lacking for certain variables (e.g., phenological response to climate change, genetic variation), sufficient data were available to evaluate all 117 species. Sensitivity analyses indicated that results were highly dependent on size of assessment area and climate scenario selection. In addition, several ecological traits common in, but relatively unique to, herpetofauna are likely to contribute to their vulnerability and need special consideration during the scoring process. Despite some limitations, the NatureServe CCVI was a useful tool for screening large numbers of reptile and amphibian species. We provide general recommendations as to how the CCVI tool's application to herpetofauna can be improved through more specific guidance to the user regarding how to incorporate unique physiological and behavioral traits into scoring existing sensitivity factors and through modification to the assessment tool itself.
WebDB Component Builder - Lessons Learned
DOE Office of Scientific and Technical Information (OSTI.GOV)
Macedo, C.
2000-02-15
Oracle WebDB is the easiest way to produce web enabled lightweight and enterprise-centric applications. This concept from Oracle has tantalized our taste for simplistic web development by using a purely web based tool that lives nowhere else but in the database. The use of online wizards, templates, and query builders, which produces PL/SQL behind the curtains, can be used straight ''out of the box'' by both novice and seasoned developers. The topic of this presentation will introduce lessons learned by developing and deploying applications built using the WebDB Component Builder in conjunction with custom PL/SQL code to empower a hybridmore » application. There are two kinds of WebDB components: those that display data to end users via reporting, and those that let end users update data in the database via entry forms. The presentation will also discuss various methods within the Component Builder to enhance the applications pushed to the desktop. The demonstrated example is an application entitled HOME (Helping Other's More Effectively) that was built to manage a yearly United Way Campaign effort. Our task was to build an end to end application which could manage approximately 900 non-profit agencies, an average of 4,100 individual contributions, and $1.2 million dollars. Using WebDB, the shell of the application was put together in a matter of a few weeks. However, we did encounter some hurdles that WebDB, in it's stage of infancy (v2.0), could not solve for us directly. Together with custom PL/SQL, WebDB's Component Builder became a powerful tool that enabled us to produce a very flexible hybrid application.« less
NASA Astrophysics Data System (ADS)
Torres-Roldan, Rafael L.; Garcia-Casco, Antonio; Garcia-Sanchez, Pedro A.
2000-08-01
CSpace is a program for the graphical and algebraic analysis of composition relations within chemical systems. The program is particularly suited to the needs of petrologists, but could also prove useful for mineralogists, geochemists and other environmental scientists. A few examples of what can be accomplished with CSpace are the mapping of compositions into some desired set of system/phase components, the estimation of reaction/mixing coefficients and assessment of phase-rule compatibility relations within or between complex mineral assemblages. The program also allows dynamic inspection of compositional relations by means of barycentric plots. CSpace provides an integrated workplace for data management, manipulation and plotting. Data management is done through a built-in spreadsheet-like editor, which also acts as a data repository for the graphical and algebraic procedures. Algebraic capabilities are provided by a mapping engine and a matrix analysis tool, both of which are based on singular-value decomposition. The mapping engine uses a general approach to linear mapping, capable of handling determined, underdetermined and overdetermined problems. The matrix analysis tool is implemented as a task "wizard" that guides the user through a number of steps to perform matrix approximation (finding nearest rank-deficient models of an input composition matrix), and inspection of null-reaction space relationships (i.e. of implicit linear relations among the elements of the composition matrix). Graphical capabilities are provided by a graph engine that directly links with the contents of the data editor. The graph engine can generate sophisticated 2-D ternary (triangular) and 3D quaternary (tetrahedral) barycentric plots and includes features such as interactive re-sizing and rotation, on-the-fly coordinate scaling and support for automated drawing of tie lines.
Licuanan, Wilfredo Y; Samson, Maricar S; Mamauag, Samuel S; David, Laura T; Borja-Del Rosario, Roselle; Quibilan, Miledel Christine C; Siringan, Fernando P; Sta Maria, Ma Yvainne Y; España, Norievill B; Villanoy, Cesar L; Geronimo, Rollan C; Cabrera, Olivia C; Martinez, Renmar Jun S; Aliño, Porfirio M
2015-12-01
We present a synoptic, participatory vulnerability assessment tool to help identify the likely impacts of climate change and human activity in coastal areas and begin discussions among stakeholders on the coping and adaptation measures necessary to minimize these impacts. Vulnerability assessment tools are most needed in the tropical Indo-Pacific, where burgeoning populations and inequitable economic growth place even greater burdens on natural resources and support ecosystems. The Integrated Coastal Sensitivity, Exposure, and Adaptive Capacity for Climate Change (I-C-SEA Change) tool is built around a series of scoring rubrics to guide non-specialists in assigning scores to the sensitivity and adaptive capacity components of vulnerability, particularly for coral reef, seagrass, and mangrove habitats, along with fisheries and coastal integrity. These scores are then weighed against threat or exposure to climate-related impacts such as marine flooding and erosion. The tool provides opportunities for learning by engaging more stakeholders in participatory planning and group decision-making. It also allows for information to be collated and processed during a "town-hall" meeting, facilitating further discussion, data validation, and even interactive scenario building.
BASINs 4.0 Climate Assessment Tool (CAT): Supporting Documentation and User's Manual (Final Report)
EPA announced the availability of the report, BASINS 4.0 Climate Assessment Tool (CAT): Supporting Documentation and User's Manual. This report was prepared by the EPA's Global Change Research Program (GCRP), an assessment-oriented program, that sits within the Office of R...
Sea Level Rise Decision Support Tools for Adaptation Planning in Vulnerable Coastal Communities
NASA Astrophysics Data System (ADS)
Rozum, J. S.; Marcy, D.
2015-12-01
NOAA is involved in a myriad of climate related research and projects that help decision makers and the public understand climate science as well as climate change impacts. The NOAA Office for Coastal Management (OCM) provides data, tools, trainings and technical assistance to coastal resource managers. Beginning in 2011, NOAA OCM began developing a sea level rise and coastal flooding impacts viewer which provides nationally consistent data sets and analyses to help communities with coastal management goals such as: understanding and communicating coastal flood hazards, performing vulnerability assessments and increasing coastal resilience, and prioritizing actions for different inundation/flooding scenarios. The Viewer is available on NOAA's Digital Coast platform: (coast.noaa.gov/ditgitalcoast/tools/slr). In this presentation we will share the lessons learned from our work with coastal decision-makers on the role of coastal flood risk data and tools in helping to shape future land use decisions and policies. We will also focus on a recent effort in California to help users understand the similarities and differences of a growing array of sea level rise decision support tools. NOAA staff and other partners convened a workshop entitled, "Lifting the Fog: Bringing Clarity to Sea Level Rise and Shoreline Change Models and Tools," which was attended by tool develops, science translators and coastal managers with the goal to create a collaborative communication framework to help California coastal decision-makers navigate the range of available sea level rise planning tools, and to inform tool developers of future planning needs. A sea level rise tools comparison matrix will be demonstrated. This matrix was developed as part of this effort and has been expanded to many other states via a partnership with NOAA, Climate Central, and The Nature Conservancy.
Ecoclimatic indicators to study climate suitability of areas for the cultivation of specific crops
NASA Astrophysics Data System (ADS)
Caubel, J.; Garcia de Cortazar Atauri, I.; Cufi, J.; Huard, F.; Launay, M.; Ripoche, D.; Graux, A.; deNoblet, N.
2013-12-01
Climatic conditions play a fundamental role in the suitability of geographical areas for cropping. In the context of climate change, we could expect changes in overall climatic conditions and so, on the suitability for cropping. Therefore, assessing the future climate suitability of areas for cropping is decisive for anticipating agriculture in a given area. Moreover, it is crucial to have access to the split up information concerning the effect of climate on the achievement of the main ecophysiological processes and cultural practices taking place during the crop cycle. In this way, stakeholders can envisage land use adaptations under climate change conditions, such as changes in cultural practices or development of new varieties for example. We proposed an aggregation tool of ecoclimatic indicators to design evaluation trees of climate suitability of areas for cropping, GETARI (Generic Evaluation Tool of Ecoclimatic Indicators). It calculates an overall climate suitability index at the annual scale, from a designed evaluation tree. This aggregation tool allows to characterize climate suitability according to crop ecophysiology, grain/fruit quality or crop management. GETARI proposes the major ecophysiological processes and cultural practices taking place during phenological periods, together with the climatic effects that are known to affect their achievement. The climatic effects on the ecophysiological processes (or cultural practices) during phenological periods are captured by the ecoclimatic indicators, which are agroclimatic indicators calculated over phenological periods. They give information about crop response to climate through ecophysiological or agronomic thresholds. Those indices of suitability are normalized and aggregated according to aggregation rules in order to compute an overall climate index. In order to illustrate how GETARI can be used, we designed evaluation trees in order to study the climate suitability for maize cropping regarding ecophysiology, for wheat cropping regarding its management and for grape cropping regarding its quality. The designed evaluation trees were developed in accordance with expert assessment and were applied in some past climatic conditions in France to verify their consistence. To conclude, the use of indicators does not replace models but represent additional tools for understanding and spatializing some results obtained by models. Their use can provide information about suitability of geographical areas for cropping in future climatic conditions and can enable to minimize the risk of crop failure. This work is carried out under the research program ORACLE (Opportunities and Risks of Agrosystems & forests in response to CLimate, socio-economic and policy changEs in France (and Europe).
NASA Astrophysics Data System (ADS)
Moore, B., III
2014-12-01
Climate Science Centers: An "Existence Theorem" for a Federal-University Partnership to Develop Actionable and Needs-Driven Science Agendas. Berrien Moore III (University of Oklahoma) The South Central Climate Science Center (CSC) is one of eight regional centers established by the Department of the Interior (DoI) under Secretarial Order 3289 to address the impacts of climate change on America's water, land, and other natural and cultural resources. Under DoI leadership and funding, these CSCs will provide scientific information tools and techniques to study impacts of climate change synthesize and integrate climate change impact data develop tools that the DoI managers and partners can use when managing the DOI's land, water, fish and wildlife, and cultural heritage resources (emphasis added) The network of Climate Science Centers will provide decision makers with the science, tools, and information they need to address the impacts of climate variability and change on their areas of responsibility. Note from Webster, a tool is a device for doing work; it makes outcomes more realizable and more cost effective, and, in a word, better. Prior to the existence of CSCs, the university and federal scientific world certainly contained a large "set" of scientists with considerable strength in the physical, biological, natural, and social sciences to address the complexities and interdisciplinary nature of the challenges in the areas of climate variability, change, impacts, and adaptation. However, this set of scientists were hardly an integrated community let alone a focused team, but rather a collection of distinguished researchers, educators, and practitioners that were working with disparate though at times linked objectives, and they were rarely aligning themselves formally to an overarching strategic pathway. In addition, data, models, research results, tools, and products were generally somewhat "disconnected" from the broad range of stakeholders. I should note also that NOAA's Regional Integrated Sciences and Assessments ( RISA) program is an earlier "Existence Theorem" for a Federal-University Partnership to Develop Actionable and Needs-Driven Science Agendas. This contribution will discuss the important cultural shift that has flowed from Secretarial Order 3289.
NASA Astrophysics Data System (ADS)
Bhat, C.; Dix, B.; Choate, A.; Wong, A.; Asam, S.; Schultz, P. A.
2016-12-01
Policy makers can implement more effective climate change adaptation programs if they are provided with two tools: accessible information on the impacts that they need to prepare for, and clear guidance on how to integrate climate change considerations into their work. This presentation will highlight recent and ongoing efforts at the City of Philadelphia to integrate climate science into their decision-making. These efforts include developing a climate change information visualization tool, climate change risk assessments across the city, and processes to integrate climate change into routine planning and budgeting practices. The goal of these efforts is to make climate change science highly targeted to decision maker needs, non-political, easily accessible, and actionable. While sea level rise inundation maps have been available to communities for years, the maps do not effectively communicate how the design of a building or a piece of infrastructure would need to be modified to protect it. The Philadelphia Flood Risk Viewer is an interactive planning tool that allows Philadelphia to identify projected depths of flooding for any location within the City, for a variety of sea level rise and storm surge scenarios. Users can also determine whether a location is located in a FEMA floodplain. By having access to information on the projected depth of flooding at a given location, the City can determine what flood protection measures may be effective, or even inform the long-term viability of developing a particular area. With an understanding of climate vulnerabilities, cities have the opportunity to make smart, climate-resilient investments with their capital budgets that will yield multiple benefits for years to come. Few, however, have established protocols for doing so. Philadelphia, with support from ICF, developed a guidance document that identifies recommendations for integrating climate change considerations throughout the Capital Program and capital budgeting process. For each recommendation, the guidance also provides supplemental resources and information to make the recommendations actionable. Philadelphia is applying the guidance in their FY 2017 capital planning activities and taking advantage of opportunities to grow stronger in the face of climate change.
High-Energy Cosmic-Ray Antiprotons with the CAPRICE98 experiment
NASA Astrophysics Data System (ADS)
Boezio, M.; Ambriola, M.; Bartalucci, S.; Bellotti, R.; Bergström, D.; Bonvicini, V.; Bravar, U.; Cafagna, F.; Carlson, P.; Casolino, M.; Ciacio, F.; Circella, M.; De Marzo, C. N.; De Pascale, M. P.; Finetti, N.; Francke, T.; Hansen, P.; Hof, M.; Kremer, J.; Menn, W.; Mitchell, J. W.; Mocchitti, E.; Morselli, A.; Ormes, J. F.; Papini, P.; Piccardi, S.; Picozza, P.; Ricci, M.; Schiavon, P.; Simon, M.; Sparvoli, R.; Spillantini, P.; Stephens, S. A.; Stochaj, S. J.; Streitmatter, R. E.; Suffert, M.; Vacchi, A.; Vannuccini, E.; Zampa, N.; WIZARD/CAPRICE Collaboration
2001-08-01
Observations of cosmic-ray antiprotons were performed by the balloon-borne experiment CAPRICE98 that was flown on 28-29 May 1998 from Fort Sumner, New Mexico, USA. The experiment used the NMSU-WIZARD/CAPRICE98 balloon-borne magnet spectrometer equipped with a gas Ring Imaging Cherenkov detector, a time-of-flight system, a tracking device consisting of drift chambers and a superconducting magnet and a silicon-tungsten calorimeter. We report on the absolute-antiproton-energy spectrum determined in the kinetic energy region at the top of the atmosphere between 3.2 and 49.1 GeV.
Astronauts Carr and Pogue demonstrate weight training in zero-gravity
1974-02-01
SL4-150-5080 (16 Nov. 1973-8 Feb. 1974) --- Two of the three Skylab 4 (third manning) astronauts exhibit the "magic" that can be accomplished in the weightlessness of space. Astronaut Gerald D. Carr, mission commander, uses his index finger to suspend astronaut William R. Pogue, pilot, in the Orbital Workshop (OWS). The two "wizards" completed almost three months aboard the Earth-orbiting Skylab space station, plenty of time to grow these full beards. The photograph was taken with a 35mm camera by astronaut Edward G. Gibson, science pilot. Photo credit: NASA
Finding our way together on the journey to zero.
Hilliard, Mary Anne
2012-01-01
Remember that classic scene from The Wizard of Oz when Dorothy's house is being hurled into the sky and her world and worries are rotating around her in a great tornado? Ever feel that way at work? To be sure, the modern risk manager and safety professional are facing new challenges and expectations: value-based services, mandatory reporting, pay for performance, new compliance standards, and so on. Sometimes it's disorienting, perhaps similar to how Dorothy must have felt when she realized she was not in Kansas anymore. © 2012 American Society for Healthcare Risk Management of the American Hospital Association.
Developing rural community health risk assessments for climate change: a Tasmanian pilot study.
Bell, Erica J; Turner, Paul; Meinke, Holger; Holbrook, Neil J
2015-01-01
This article examines the development and pilot implementation of an approach to support local community decision-makers to plan health adaptation responses to climate change. The approach involves health and wellbeing risk assessment supported through the use of an electronic tool. While climate change is a major foreseeable public health threat, the extent to which health services are prepared for, or able to adequately respond to, climate change impact-related risks remains unclear. Building health decision-support mechanisms in order to involve and empower local stakeholders to help create the basis for agreement on these adaptive actions is an important first step. The primary research question was 'What can be learned from pilot implementation of a community health and well-being risk assessment (CHWRA) information technology-based tool designed to support understanding of, and decision-making on, local community challenges and opportunities associated with health risks posed by climate change? The article examines the complexity of climate change science to adaptation translational processes, with reference to existing research literature on community development. This is done in the context of addressing human health risks for rural and remote communities in Tasmania, Australia. This process is further examined through the pilot implementation of an electronic tool designed to support the translation of physically based climate change impact information into community-level assessments of health risks and adaptation priorities. The procedural and technical nature of the CHWRA tool is described, and the implications of the data gathered from stakeholder workshops held at three rural Tasmanian local government sites are considered and discussed. Bushfire, depression and waterborne diseases were identified by community stakeholders as being potentially 'catastrophic' health effects 'likely' to 'almost certain' to occur at one or more Tasmanian rural sites - based on an Intergovernmental Panel on Climate Change style of assessment. Consensus statements from stakeholders also suggested concern with health sector adaptation capacity and community resilience, and what community stakeholders defined as 'last straw' climate effects in already stressed communities. Preventative action and community engagement were also seen as important, especially with regard to managing the ways that climate change can multiply socioeconomic and health outcome inequality. Above all, stakeholder responses emphasised the importance of an applied, complexity-oriented understanding of how climate and climate change impacts affect local communities and local services to compromise the overall quality of human health in these communities. Complex community-level assessments about climate change and related health risks and responses can be captured electronically in ways that offer potentially actionable information about priorities for health sector adaptation, as a first step in planning. What is valuable about these community judgements is the creation of shared values and commitments. Future iteration of the IT tool could include decision-support modules to support best practice health sector adaptation scenarios, providing participants with opportunities to develop their know-how about health sector adaptation to climate change. If managed carefully, such tools could work within a balanced portfolio of measures to help reduce the rising health burden from climate change.
Modeling Climate Change Impacts on Landscape Evolution, Fire, and Hydrology
NASA Astrophysics Data System (ADS)
Sheppard, B. S.; O Connor, C.; Falk, D. A.; Garfin, G. M.
2015-12-01
Landscape disturbances such as wildfire interact with climate variability to influence hydrologic regimes. We coupled landscape, fire, and hydrologic models and forced them using projected climate to demonstrate climate change impacts anticipated at Fort Huachuca in southeastern Arizona, USA. The US Department of Defense (DoD) recognizes climate change as a trend that has implications for military installations, national security and global instability. The goal of this DoD Strategic Environmental Research and Development Program (SERDP) project (RC-2232) is to provide decision making tools for military installations in the southwestern US to help them adapt to the operational realities associated with climate change. For this study we coupled the spatially explicit fire and vegetation dynamics model FireBGCv2 with the Automated Geospatial Watershed Assessment tool (AGWA) to evaluate landscape vegetation change, fire disturbance, and surface runoff in response to projected climate forcing. A projected climate stream for the years 2005-2055 was developed from the Multivariate Adaptive Constructed Analogs (MACA) 4 km statistical downscaling of the CanESM2 GCM using Representative Concentration Pathway (RCP) 8.5. AGWA, an ArcGIS add-in tool, was used to automate the parameterization and execution of the Soil Water Assessment Tool (SWAT) and the KINematic runoff and EROSion2 (KINEROS2) models based on GIS layers. Landscape raster data generated by FireBGCv2 project an increase in fire and drought associated tree mortality and a decrease in vegetative basal area over the years of simulation. Preliminary results from SWAT modeling efforts show an increase to surface runoff during years following a fire, and for future winter rainy seasons. Initial results from KINEROS2 model runs show that peak runoff rates are expected to increase 10-100 fold as a result of intense rainfall falling on burned areas.
Modeling erosion under future climates with the WEPP model
Timothy Bayley; William Elliot; Mark A. Nearing; D. Phillp Guertin; Thomas Johnson; David Goodrich; Dennis Flanagan
2010-01-01
The Water Erosion Prediction Project Climate Assessment Tool (WEPPCAT) was developed to be an easy-to-use, web-based erosion model that allows users to adjust climate inputs for user-specified climate scenarios. WEPPCAT allows the user to modify monthly mean climate parameters, including maximum and minimum temperatures, number of wet days, precipitation, and...
Enhancement of Local Climate Analysis Tool
NASA Astrophysics Data System (ADS)
Horsfall, F. M.; Timofeyeva, M. M.; Dutton, J.
2012-12-01
The National Oceanographic and Atmospheric Administration (NOAA) National Weather Service (NWS) will enhance its Local Climate Analysis Tool (LCAT) to incorporate specific capabilities to meet the needs of various users including energy, health, and other communities. LCAT is an online interactive tool that provides quick and easy access to climate data and allows users to conduct analyses at the local level such as time series analysis, trend analysis, compositing, correlation and regression techniques, with others to be incorporated as needed. LCAT uses principles of Artificial Intelligence in connecting human and computer perceptions on application of data and scientific techniques in multiprocessing simultaneous users' tasks. Future development includes expanding the type of data currently imported by LCAT (historical data at stations and climate divisions) to gridded reanalysis and General Circulation Model (GCM) data, which are available on global grids and thus will allow for climate studies to be conducted at international locations. We will describe ongoing activities to incorporate NOAA Climate Forecast System (CFS) reanalysis data (CFSR), NOAA model output data, including output from the National Multi Model Ensemble Prediction System (NMME) and longer term projection models, and plans to integrate LCAT into the Earth System Grid Federation (ESGF) and its protocols for accessing model output and observational data to ensure there is no redundancy in development of tools that facilitate scientific advancements and use of climate model information in applications. Validation and inter-comparison of forecast models will be included as part of the enhancement to LCAT. To ensure sustained development, we will investigate options for open sourcing LCAT development, in particular, through the University Corporation for Atmospheric Research (UCAR).
Integration of Linear Dynamic Emission and Climate Models with Air Traffic Simulations
NASA Technical Reports Server (NTRS)
Sridhar, Banavar; Ng, Hok K.; Chen, Neil Y.
2012-01-01
Future air traffic management systems are required to balance the conflicting objectives of maximizing safety and efficiency of traffic flows while minimizing the climate impact of aviation emissions and contrails. Integrating emission and climate models together with air traffic simulations improve the understanding of the complex interaction between the physical climate system, carbon and other greenhouse gas emissions and aviation activity. This paper integrates a national-level air traffic simulation and optimization capability with simple climate models and carbon cycle models, and climate metrics to assess the impact of aviation on climate. The capability can be used to make trade-offs between extra fuel cost and reduction in global surface temperature change. The parameters in the simulation can be used to evaluate the effect of various uncertainties in emission models and contrails and the impact of different decision horizons. Alternatively, the optimization results from the simulation can be used as inputs to other tools that monetize global climate impacts like the FAA s Aviation Environmental Portfolio Management Tool for Impacts.
Using Weather Types to Understand and Communicate Weather and Climate Impacts
NASA Astrophysics Data System (ADS)
Prein, A. F.; Hale, B.; Holland, G. J.; Bruyere, C. L.; Done, J.; Mearns, L.
2017-12-01
A common challenge in atmospheric research is the translation of scientific advancements and breakthroughs to decision relevant and actionable information. This challenge is central to the mission of NCAR's Capacity Center for Climate and Weather Extremes (C3WE, www.c3we.ucar.edu). C3WE advances our understanding of weather and climate impacts and integrates these advances with distributed information technology to create tools that promote a global culture of resilience to weather and climate extremes. Here we will present an interactive web-based tool that connects historic U.S. losses and fatalities from extreme weather and climate events to 12 large-scale weather types. Weather types are dominant weather situations such as winter high-pressure systems over the U.S. leading to very cold temperatures or summertime moist humid air masses over the central U.S. leading to severe thunderstorms. Each weather type has a specific fingerprint of economic losses and fatalities in a region that is quantified. Therefore, weather types enable a direct connection of observed or forecasted weather situation to loss of life and property. The presented tool allows the user to explore these connections, raise awareness of existing vulnerabilities, and build resilience to weather and climate extremes.
NASA Astrophysics Data System (ADS)
Allis, E. C.; Greene, A. M.; Cousin, R.
2014-12-01
We describe a comprehensive project for developing climate information and decision support / climate risk management tools in Lao PDR, Bangladesh and Indonesia. Mechanisms are developed for bringing the benefits of these tools to both policy makers and poor rural farmers, with the goal of enabling better management, at the farm level, of the risks associated with climate variability and change. The project comprises several interwoven threads, differentially applied in the different study regions. These include data management and quality control, development of seasonal forecast capabilities, use of dynamic cropping calendars and climate advisories, the development of longer-term climate information for both past and future and a weather index insurance component. Stakeholder engagement and capacity building served as reinforcing and complementary elements to all components. In this talk we will provide a project overview, show how the various components fit together and describe some lessons learned in this attempt to promote the uptake of actionable climate information from farmer to policy level. The applied research project was led by the International Research Institute for Climate and Society (IRI) at Columbia University with funding from the International Fund for Agriculture Development (IFAD) and in close collaboration with our regional partners at the Centre for Climate Risk and Opportunity Management in Southeast Asia Pacific (at Bogor Agricultural University in Indonesia), Indonesia's National Agency for Meteorology, Climatology and Geophysics (BMKG), Lao PDR's National Agriculture and Forestry Research Institute (NAFRI), Laotian Department of Meteorology and Hydrology (DMH), WorldFish Center, Bangladesh Meteorology Department (BMD), and CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
NASA Astrophysics Data System (ADS)
Gálos, Borbála
2017-04-01
Climate change is observed to have severe impacts on forest ecosystems. Ongoing research projects are dealing with the complex analysis of the causes of the health status decline and mortality of the vulnerable tree species. In the Carpathian Basin, recurrent long lasting drought periods and heatwaves of the last decades initiated the sequence of abiotic and biotic impacts in the beech and oak forests. Threatening extreme events are very likely to occur more frequent under changing climate conditions until the end of the 21st century. Therefore adaptation strategies and renewed regulations of the tree species selection are necessary. Learning material of forest education needs to be continuously updated with the new aspects and results of recent research and forest management planning. Therefore ideas and tools have been developed for teaching climate change impacts for students in forest- and environmental engineering. Using examples from world sport championships (e.g. losers and winners of climate change) these tools are applied to communicate the basic research questions in an easily understandable way as well as to motivate students and raise their awareness for the complex processes of forest - climate interactions. By the application of the developed examples for motivation, the key competences and learning outcomes can be the following: • students get an insight into the observed and projected tendencies of climate extremes; • they get an impression on the complexity of the climate change related damage chains; • they will be able to identify the climatic drivers of forest decline and mortality; • with the skill of critical thinking they will be able to evaluate the ecological role of forests that are already affected and that could be affected by the consequences of changing climate conditions; • they recognize the importance and urgency of the appropriate decisions in forestry and nature conservation. Keywords: climate change impacts, forest education, teaching tools for motivation The research is supported by the ÚNKP-16-4-3 New National Excellence Program of the Ministry of Human Capacities.
NASA Astrophysics Data System (ADS)
Niyogi, D.; Andresen, J.
2011-12-01
Corn and soybean production contributes over $100 billion annually to the U.S. economy, most of which comes from the intensely cultivated corn-belt region of the Midwest. Successful crop production in this region is highly dependent on favorable temperatures and appropriate precipitation patters, making this industry vulnerable to changes in climate patterns. Though predictive models are constantly improving, there are gaps in our understanding of how different management practices can be used to help farmers adapt to changes in climate while maintaining economic viability. Furthermore, currently available tools and models are not meeting producers' needs, and little is known about the types of information they would like to access. Useful to Usable (U2U): Transforming Climate Variability and Change Information for Cereal Crop Producers is an integrated research and extension project that seeks to improve the resilience and profitability of farms in the North Central Region amid variable climate change through the development and dissemination of improved decision support tools, resource materials, and training. The goal is to work closely with producers to help them make better long-term plans on what, when and where to plant, and also how to manage crops for maximum yields and minimum environmental damage. The U2U team is composed of a uniquely qualified group of climatologists, crop modelers, agronomists, economists, and social scientists from 10 partner universities across the Midwest. Over the span of 5 years, collaborators will complete tasks associated with 5 objectives that will enhance the usability of climate information for the agricultural community and lead to more sustainable farming operations. First the team will produce research on the biophysical and economic impacts of different climate scenarios on corn and soybean yields in the North Central Region (objective 1) and conduct complementary research to understand how producers and advisors are likely to use this information (objective 2). Based on these findings, decision support tools (DSTs) and training materials will be developed to effectively deliver climate information to stakeholders (objective 3). Next, DSTs will be piloted in a four-state region (Indiana, Iowa, Nebraska, and Michigan) to help improve tools and evaluate effectiveness (objective 4). After several iterations with stakeholders to ensure the usability and utility of the tools, the program will be extended to all twelve states in the region (objective 5). Decision support tools, along with training products, surveys, feedback mechanisms and collaborative social tools, will be supported using the NSF-funded and Purdue University developed HUBzero web-based technology.
A web-tool to find spatially explicit climate-smart solutions for the sector agriculture
NASA Astrophysics Data System (ADS)
Verzandvoort, Simone; Kuikman, Peter; Walvoort, Dennis
2017-04-01
Europe faces the challenge to produce more food and more biomass for the bio-economy, to adapt its agricultural sector to negative consequences of climate change, and to reduce greenhouse gas emissions from agriculture. Climate-smart agriculture (CSA) solutions and technologies improve agriculture's productivity and provide economic growth and stability, increase resilience, and help to reduce GHG emissions from agricultural activities. The Climate Smart Agriculture Booster (CSAb) (http://csabooster.climate-kic.org/) is a Flagship Program under Climate-KIC, aiming to facilitate the adoption of CSA solutions and technologies in the European agro-food sector. This adoption requires spatially explicit, contextual information on farming activities and risks and opportunities related to climate change in regions across Europe. Other spatial information supporting adoption includes Information on where successful implementations were already done, on where CSA would profit from enabling policy conditions, and where markets or business opportunities for selling or purchasing technology and knowledge are located or emerging. The Spatial Solution Finder is a web-based spatial tool aiming to help agri-food companies (supply and processing), authorities or agricultural organisations find CSA solutions and technologies that fit local farmers and regions, and to demonstrate examples of successful implementations as well as expected impact at the farm and regional level. The tool is based on state of the art (geo)datasets of environmental and socio-economic conditions (partly open access, partly derived from previous research) and open source web-technology. The philosophy of the tool is that combining existing datasets with contextual information on the region of interest with personalized information entered by the user provides a suitable basis for offering a basket of options for CSA solutions and technologies. Solutions and technologies are recommended to the user based on similarity matrices assigning scores based on criteria relating to the technology (applicability, benefits, costs) and set by the user. The tool is being developed as part of the CSA Booster Flagship Programme in 2017. The design enables embedding the tool in the Open Innovation Platform of the CSAb and in other European platforms, communities and market places on the Internet related to natural capital and innovations. Continuous updating with new functionality and additional datasets during its lifetime is possible and secures that the tool remains up to date.
A New Tool for Climatic Analysis Using the Koppen Climate Classification
ERIC Educational Resources Information Center
Larson, Paul R.; Lohrengel, C. Frederick, II
2011-01-01
The purpose of climate classification is to help make order of the seemingly endless spatial distribution of climates. The Koppen classification system in a modified format is the most widely applied system in use today. This system may not be the best nor most complete climate classification that can be conceived, but it has gained widespread…
Extreme Events and Energy Providers: Science and Innovation
NASA Astrophysics Data System (ADS)
Yiou, P.; Vautard, R.
2012-04-01
Most socio-economic regulations related to the resilience to climate extremes, from infrastructure or network design to insurance premiums, are based on a present-day climate with an assumption of stationarity. Climate extremes (heat waves, cold spells, droughts, storms and wind stilling) affect in particular energy production, supply, demand and security in several ways. While national, European or international projects have generated vast amounts of climate projections for the 21st century, their practical use in long-term planning remains limited. Estimating probabilistic diagnostics of energy user relevant variables from those multi-model projections will help the energy sector to elaborate medium to long-term plans, and will allow the assessment of climate risks associated to those plans. The project "Extreme Events for Energy Providers" (E3P) aims at filling a gap between climate science and its practical use in the energy sector and creating in turn favourable conditions for new business opportunities. The value chain ranges from addressing research questions directly related to energy-significant climate extremes to providing innovative tools of information and decision making (including methodologies, best practices and software) and climate science training for the energy sector, with a focus on extreme events. Those tools will integrate the scientific knowledge that is developed by scientific communities, and translate it into a usable probabilistic framework. The project will deliver projection tools assessing the probabilities of future energy-relevant climate extremes at a range of spatial scales varying from pan-European to local scales. The E3P project is funded by the Knowledge and Innovation Community (KIC Climate). We will present the mechanisms of interactions between academic partners, SMEs and industrial partners for this project. Those mechanisms are elementary bricks of a climate service.
Cal-Adapt: California's Climate Data Resource and Interactive Toolkit
NASA Astrophysics Data System (ADS)
Thomas, N.; Mukhtyar, S.; Wilhelm, S.; Galey, B.; Lehmer, E.
2016-12-01
Cal-Adapt is a web-based application that provides an interactive toolkit and information clearinghouse to help agencies, communities, local planners, resource managers, and the public understand climate change risks and impacts at the local level. The website offers interactive, visually compelling, and useful data visualization tools that show how climate change might affect California using downscaled continental climate data. Cal-Adapt is supporting California's Fourth Climate Change Assessment through providing access to the wealth of modeled and observed data and adaption-related information produced by California's scientific community. The site has been developed by UC Berkeley's Geospatial Innovation Facility (GIF) in collaboration with the California Energy Commission's (CEC) Research Program. The Cal-Adapt website allows decision makers, scientists and residents of California to turn research results and climate projections into effective adaptation decisions and policies. Since its release to the public in June 2011, Cal-Adapt has been visited by more than 94,000 unique visitors from over 180 countries, all 50 U.S. states, and 689 California localities. We will present several key visualizations that have been employed by Cal-Adapt's users to support their efforts to understand local impacts of climate change, indicate the breadth of data available, and delineate specific use cases. Recently, CEC and GIF have been developing and releasing Cal-Adapt 2.0, which includes updates and enhancements that are increasing its ease of use, information value, visualization tools, and data accessibility. We showcase how Cal-Adapt is evolving in response to feedback from a variety of sources to present finer-resolution downscaled data, and offer an open API that allows other organization to access Cal-Adapt climate data and build domain specific visualization and planning tools. Through a combination of locally relevant information, visualization tools, and access to primary data, Cal-Adapt allows users to investigate how the climate is projected to change in their areas of interest.
Climate Change Impacts and Adaptation on Southwestern DoD Facilities
2017-03-03
integrating climate change risks into decision priorities. 15. SUBJECT TERMS adaptation, baseline sensitivity, climate change, climate exposure...four bases we found that integrating climate change risks into the current decision matrix, by linking projected risks to current or past impacts...data and decision tools and methods. Bases have some capacity to integrate climate-related information, but they have limited resources to undertake
NASA Astrophysics Data System (ADS)
Rooney-varga, J. N.; Sterman, J.; Fracassi, E. P.; Franck, T.; Kapmeier, F.; Kurker, V.; Jones, A.; Rath, K.
2017-12-01
The strong scientific consensus about the reality and risks of anthropogenic climate change stands in stark contrast to widespread confusion and complacency among the public. Many efforts to close that gap, grounded in the information deficit model of risk communication, provide scientific information on climate change through reports and presentations. However, research shows that showing people research does not work: the gap between scientific and public understanding of climate change remains wide. Tools that are rigorously grounded in the science and motivate action on climate change are urgently needed. Here we assess the impact of one such tool, an interactive, role-play simulation, World Climate. Participants take the roles of delegates to the UN climate negotiations and are challenged to create an agreement limiting warming to no more than 2°C. The C-ROADS climate simulation model then provides participants with immediate feedback about the expected impacts of their decisions. Participants use C-ROADS to explore the climate system and use the results to refine their negotiating positions, learning about climate change while experiencing the social dynamics of negotiations and decision-making. Pre- and post-survey results from 21 sessions in eight nations showed significant gains in participants' climate change knowledge, affective engagement, intent to take action, and desire to learn. Contrary to the deficit model, gains in participants' desire to learn more and intention to act were associated with gains in affective engagement, particularly feelings of urgency and hope, but not climate knowledge. Gains were just as strong among participants who oppose government regulation, suggesting the simulation's potential to reach across political divides. Results indicate that simulations like World Climate offer a climate change communication tool that enables people to learn and feel for themselves, which together have the potential to motivate action informed by science.
MEGAPOLI: concept and first results of multi-scale modelling of megacity impacts
NASA Astrophysics Data System (ADS)
Baklanov, A. A.; Lawrence, M.; Pandis, S.
2009-09-01
The European FP7 project MEGAPOLI: ‘Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation' (http://megapoli.info), started in October 2008, brings together 27 leading European research groups from 11 countries, state-of-the-art scientific tools and key players from countries outside Europe to investigate the interactions among megacities, air quality and climate. MEGAPOLI bridges the spatial and temporal scales that connect local emissions, air quality and weather with global atmospheric chemistry and climate. The main MEGAPOLI objectives are: 1. to assess impacts of megacities and large air-pollution hot-spots on local, regional and global air quality, 2. to quantify feedbacks among megacity air quality, local and regional climate, and global climate change, 3. to develop improved integrated tools for prediction of air pollution in megacities. In order to achieve these objectives the following tasks are realizing: • Develop and evaluate integrated methods to improve megacity emission data, • Investigate physical and chemical processes starting from the megacity street level, continuing to the city, regional and global scales, • Assess regional and global air quality impacts of megacity plumes, • Determine the main mechanisms of regional meteorology/climate forcing due to megacity plumes, • Assess global megacity pollutant forcing on climate, • Examine feedback mechanisms including effects of climate change on megacity air quality, • Develop integrated tools for prediction of megacity air quality, • Evaluate these integrated tools and use them in case studies, • Develop a methodology to estimate the impacts of different scenarios of megacity development on human health and climate change, • Propose and assess mitigation options to reduce the impacts of megacity emissions. We follow a pyramid strategy of undertaking detailed measurements in one European major city, Paris, performing detailed analysis for 12 megacities with existing air quality datasets and investigate the effects of all megacities on climate and global atmospheric chemistry. The project focuses on the multi-scale modelling of interacting meteorology and air quality, spanning the range from emissions to air quality, effects on climate, and feedbacks and mitigation potentials. Our hypothesis is that megacities around the world have an impact on air quality not only locally, but also regionally and globally and therefore can also influence the climate of our planet. Some of the links between megacities, air quality and climate are reasonably well-understood. However, a complete quantitative picture of these interactions is clearly missing. Understanding and quantifying these missing links is the focus of MEGAPOLI. The current status and modeling results after the first project year on examples of Paris and other European megacities are discussed.
VisAdapt: A Visualization Tool to Support Climate Change Adaptation.
Johansson, Jimmy; Opach, Tomasz; Glaas, Erik; Neset, Tina-Simone; Navarra, Carlo; Linner, Bjorn-Ola; Rod, Jan Ketil
2017-01-01
The web-based visualization VisAdapt tool was developed to help laypeople in the Nordic countries assess how anticipated climate change will impact their homes. The tool guides users through a three-step visual process that helps them explore risks and identify adaptive actions specifically modified to their location and house type. This article walks through the tool's multistep, user-centered design process. Although VisAdapt's target end users are Nordic homeowners, the insights gained from the development process and the lessons learned from the project are applicable to a wide range of domains.
Comprehension and engagement in survey interviews with virtual agents
Conrad, Frederick G.; Schober, Michael F.; Jans, Matt; Orlowski, Rachel A.; Nielsen, Daniel; Levenstein, Rachel
2015-01-01
This study investigates how an onscreen virtual agent's dialog capability and facial animation affect survey respondents' comprehension and engagement in “face-to-face” interviews, using questions from US government surveys whose results have far-reaching impact on national policies. In the study, 73 laboratory participants were randomly assigned to respond in one of four interviewing conditions, in which the virtual agent had either high or low dialog capability (implemented through Wizard of Oz) and high or low facial animation, based on motion capture from a human interviewer. Respondents, whose faces were visible to the Wizard (and videorecorded) during the interviews, answered 12 questions about housing, employment, and purchases on the basis of fictional scenarios designed to allow measurement of comprehension accuracy, defined as the fit between responses and US government definitions. Respondents answered more accurately with the high-dialog-capability agents, requesting clarification more often particularly for ambiguous scenarios; and they generally treated the high-dialog-capability interviewers more socially, looking at the interviewer more and judging high-dialog-capability agents as more personal and less distant. Greater interviewer facial animation did not affect response accuracy, but it led to more displays of engagement—acknowledgments (verbal and visual) and smiles—and to the virtual interviewer's being rated as less natural. The pattern of results suggests that a virtual agent's dialog capability and facial animation differently affect survey respondents' experience of interviews, behavioral displays, and comprehension, and thus the accuracy of their responses. The pattern of results also suggests design considerations for building survey interviewing agents, which may differ depending on the kinds of survey questions (sensitive or not) that are asked. PMID:26539138
Spring Outlook: Moderate flood risk for drenched Louisiana, east Texas |
Climate Oceans & Coasts Fisheries Satellites Research Marine & Aviation Charting Sanctuaries improve drought in Northern California; little relief for rest of state Weather Climate climate outlooks weather and climate tools that NOAA provides emergency managers, water managers, state and local officials
Climate change games as tools for education and engagement
NASA Astrophysics Data System (ADS)
Wu, Jason S.; Lee, Joey J.
2015-05-01
Scientists, educators and policymakers continue to face challenges when it comes to finding effective strategies to engage the public on climate change. We argue that games on the subject of climate change are well-suited to address these challenges because they can serve as effective tools for education and engagement. Recently, there has been a dramatic increase in the development of such games, many featuring innovative designs that blur traditional boundaries (for example, those that involve social media, alternative reality games, or those that involve direct action upon the real world). Here, we present an overview of the types of climate change game currently available, the benefits and trade-offs of their use, and reasons why they hold such promise for education and engagement regarding climate change.
NASA Astrophysics Data System (ADS)
Pandey, Suraj
This study develops a spatial mapping of agro-ecological zones based on earth observation model using MODIS regional dataset as a tool to guide key areas of cropping system and targeting to climate change strategies. This tool applies to the Indo-gangetic Plains of north India to target the domains of bio-physical characteristics and socio-economics with respect to changing climate in the region. It derive on secondary data for spatially-explicit variables at the state/district level, which serve as indicators of climate variability based on sustainable livelihood approach, natural, social and human. The study details the methodology used and generates the spatial climate risk maps for composite indicators of livelihood and vulnerability index in the region.
Protecting Your Forest from Climate Change
Steven McNulty
2009-01-01
Climate change is already impacting our forests and the situation is ongoing. As a landowner, there are management tools that you can use to help reduce the likelihood that climate change will cause serious harm to your forest.
USDA-ARS?s Scientific Manuscript database
Process-level modeling at the farm scale provides a tool for evaluating both strategies for mitigating greenhouse gas emissions and strategies for adapting to climate change. The Integrated Farm System Model (IFSM) simulates representative crop, beef or dairy farms over many years of weather to pred...
NASA Astrophysics Data System (ADS)
Cecil, L.; Stachniewicz, J.; Shein, K. A.; Ansari, S.; Jarvis, C.
2013-05-01
Marine ecosystem responses to climate variability and change such as changing water temperature, water chemistry (e.g., pH, salinity), water level, or storminess may result in adverse impacts including mass mortality, loss of habitat, increased disease susceptibility, and trophic cascade feedbacks. Unfortunately, while marine ecosystem resource managers are aware of these threats, they often lack sufficient expertise with identifying, accessing and using the many large and complex climate data products that would inform ecosystem-scale climate impact assessments. NOAA's National Climatic Data Center (NCDC) has been working with the Gulf of the Farallones National Marine Sanctuary Ocean Climate Center to enhance and expand the functionality of NCDC's Weather and Climate Toolkit (WCT) to begin to address this limitation. The WCT is a freely available, Java-based user interface (http://www.ncdc.noaa.gov/oa/wct/) designed to access, analyze, and display a variety of NCDC's georeferenced climate data products (e.g., satellite data, radar, reanalysis datasets, in-situ observations). However, the WCT requires the user to have already identified a data set of interest and gained access to it. This can limit its utility by users who are not knowledgeable about which data sets are relevant to their needs and where those data sets can be found. The Integrated Marine Protected Area Climate Tools (IMPACT) prototype modification to the WCT addresses those requirements through an iterative process between climate scientists and resource managers. The WCT-IMPACT prototype couples a user query approach with a quasi-expert system that determines, retrieves, and loads the appropriate data products for visualization and analysis by the user. Relevant data products are identified based on the environmental variables in which ecosystem managers have indicated an importance to their ecosystems. To improve response time, the user, through the WCT-IMPACT interface, crops (or subsets) the larger gridded data products, such as NOAA's satellite Climate Data Records to the geographic boundaries of each included marine protected area (MPA). These clipped data sets are processed to produce MPA-specific analytics (e.g., files for averages, extremes, peaks over threshold, etc). Once a specific MPA has been selected, the associated data may be visualized, analyzed, and exported to other formats (e.g., netCDF, KML) from within the tool. The WCT-IMPACT tool kit will provide marine ecosystem managers with the capacity to answer such questions as what was the climate like during periods of optimal ecological health, or have climate conditions changed equally across an ecosystem's domain? The WCT-IMPACT extension is being developed specifically to address the needs of marine ecosystem managers to have access to relevant climate data and information for developing ecosystem-scale climate assessments, while retaining the ability for a WCT user to identify and access the full suite of georeferenced climate data provided by NCDC. In this tool kit development scheme, the need to coordinate with the resource managers is paramount and end user participation in an iterative process with the climate scientists is essential.
The Monash University Interactive Simple Climate Model
NASA Astrophysics Data System (ADS)
Dommenget, D.
2013-12-01
The Monash university interactive simple climate model is a web-based interface that allows students and the general public to explore the physical simulation of the climate system with a real global climate model. It is based on the Globally Resolved Energy Balance (GREB) model, which is a climate model published by Dommenget and Floeter [2011] in the international peer review science journal Climate Dynamics. The model simulates most of the main physical processes in the climate system in a very simplistic way and therefore allows very fast and simple climate model simulations on a normal PC computer. Despite its simplicity the model simulates the climate response to external forcings, such as doubling of the CO2 concentrations very realistically (similar to state of the art climate models). The Monash simple climate model web-interface allows you to study the results of more than a 2000 different model experiments in an interactive way and it allows you to study a number of tutorials on the interactions of physical processes in the climate system and solve some puzzles. By switching OFF/ON physical processes you can deconstruct the climate and learn how all the different processes interact to generate the observed climate and how the processes interact to generate the IPCC predicted climate change for anthropogenic CO2 increase. The presentation will illustrate how this web-base tool works and what are the possibilities in teaching students with this tool are.
NOAA Climate Information and Tools for Decision Support Services
NASA Astrophysics Data System (ADS)
Timofeyeva, M. M.; Higgins, W.; Strager, C.; Horsfall, F. M.
2013-12-01
NOAA is an active participant of the Global Framework for Climate Services (GFCS) contributing data, information, analytical capabilities, forecasts, and decision support services to the Climate Services Partnership (CSP). These contributions emerge from NOAA's own climate services, which have evolved to respond to the urgent and growing need for reliable, trusted, transparent, and timely climate information across all sectors of the U.S. economy. Climate services not only enhance development opportunities in many regions, but also reduce vulnerability to climate change around the world. The NOAA contribution lies within the NOAA Climate Goal mission, which is focusing its efforts on four key climate priority areas: water, extremes, coastal inundation, and marine ecosystems. In order to make progress in these areas, NOAA is exploiting its fundamental capabilities, including foundational research to advance understanding of the Earth system, observations to preserve and build the climate data record and monitor changes in climate conditions, climate models to predict and project future climate across space and time scales, and the development and delivery of decision support services focused on risk management. NOAA's National Weather Services (NWS) is moving toward provision of Decision Support Services (DSS) as a part of the Roadmap on the way to achieving a Weather Ready National (WRN) strategy. Both short-term and long-term weather, water, and climate information are critical for DSS and emergency services and have been integrated into NWS in the form of pilot projects run by National and Regional Operations Centers (NOC and ROCs respectively) as well as several local offices. Local offices with pilot projects have been focusing their efforts on provision of timely and actionable guidance for specific tasks such as DSS in support of Coastal Environments and Integrated Environmental Studies. Climate information in DSS extends the concept of climate services to provision of information that will help guide long-term preparedness for severe weather events and extreme conditions as well as climate variability and change GFCS recently summarized examples of existing initiatives to advance provision of climate services in the 2012 publication Climate ExChange. In this publication, NWS introduced the new Local Climate Analysis Tool (LCAT), a tool that is used to conduct local climate studies that are needed to create efficient and reliable guidance for DSS. LCAT allows for analyzing trends in local climate variables and identifying local impacts of climate variability (e.g., ENSO) on weather and water conditions. In addition to LCAT, NWS, working in partnership with the North East Regional Climate center, released xmACIS version 2, a climate data mining tool, for NWS field operations. During this talk we will demonstrate LCAT and xmACIS as well as outline several examples of their application to DSS and its potential use for achieving GFCS goals. The examples include LCAT-based temperature analysis for energy decisions, guidance on weather and water events leading to increased algal blooms and red tide months in advance, local climate sensitivities to droughts, probabilities of hot/cold conditions and their potential impacts on agriculture and fish kills or fish stress.
NASA Astrophysics Data System (ADS)
Harjanne, Atte; Haavisto, Riina; Tuomenvirta, Heikki; Gregow, Hilppa
2017-10-01
Weather, climate and climate change can cause significant risks to businesses and public administration. However, understanding these processes can also create opportunities. Information can help to manage these risks and opportunities, but in order to do so, it must be in line with how risk management and decision making works. To better understand how climate risks and opportunities are reflected in different organizational processes and what types of information is needed and used, we conducted a study on the perceptions and management of weather and climate risks in Finnish organizations and on their use of weather and climate information. In addition, we collected feedback on how the existing climate information tools should be developed. Data on climate risk management was collected in an online survey and in one full-day workshop. The survey was aimed to the Finnish public and private organizations who use weather and climate data and altogether 118 responses were collected. The workshop consisted of two parts: weather and climate risk management processes in general and the development of the current information tools to further address user needs.
We found that climate risk management in organizations is quite diverse and often de-centralized and that external experts are considered the most useful sources of information. Consequently, users emphasize the need for networks of expertise and sector-specific information tools. Creating such services requires input and information sharing from the user side as well. Better temporal and spatial accuracy is naturally asked for, but users also stressed the need for transparency when it comes to communicating uncertainties, and the availability and up-to-datedness of information. Our results illustrate that weather and climate risks compete and blend in with other risks and changes perceived by the organizations and supporting information is sought from different types of sources. Thus the design and evaluation of climate services should take into account the context of existing and developing processes in organizational risk management.
NASA Astrophysics Data System (ADS)
Fujisawa, Mariko; Kanamaru, Hideki
2016-04-01
Many existing climate change impact studies, carried out by academic researchers, are disconnected from decision making processes of stakeholders. On the other hand many climate change adaptation projects in developing countries lack a solid evidence base of current and future climate impacts as well as vulnerabilities assessment at different scales. In order to fill this information gap, FAO has developed and implemented a tool "MOSAICC (Modelling System for Agricultural Impacts of Climate Change)" in several developing countries such as Morocco, the Philippines and Peru, and recently in Malawi and Zambia. MOSAICC employs a multi-disciplinary assessment approach to addressing climate change impacts and adaptation planning in the agriculture and food security sectors, and integrates five components from different academic disciplines: 1. Statistical downscaling of climate change projections, 2. Yield simulation of major crops at regional scale under climate change, 3. Surface hydrology simulation model, 4. Macroeconomic model, and 5. Forestry model. Furthermore MOSAICC has been developed as a capacity development tool for the national scientists so that they can conduct the country assessment themselves, using their own data, and reflect the outcome into the national adaptation policies. The outputs are nation-wide coverage, disaggregated at sub-national level to support strategic planning, investments and decisions by national policy makers. MOSAICC is designed in such a way to promote stakeholders' participation and strengthen technical capacities in developing countries. The paper presents MOSAICC and projects that used MOSAICC as a tool with case studies from countries.
Ying Ouyang; Prem B. Parajuli; Gary Feng; Theodor D. Leininger; Yongshan Wan; Padmanava Dash
2018-01-01
A vast amount of future climate scenario datasets, created by climate models such as general circulation models (GCMs), have been used in conjunction with watershed models to project future climate variability impact on hydrological processes and water quality. However, these low spatial-temporal resolution datasets are often difficult to downscale spatially and...
Climate change portal established
NASA Astrophysics Data System (ADS)
Showstack, Randy
2011-12-01
The World Bank has developed a Climate Change Knowledge Portal as a kind of “onestop shop” for climate-related information, data, and tools. The portal provides access to global, regional, and national data and reports with an aim to providing a resource for learning about climate information and increasing knowledge on climate change—related actions. For more information, see http://sdwebx.worldbank.org/climateportal/.
An Addendum to "A New Tool for Climatic Analysis Using Köppen Climate Classification"
ERIC Educational Resources Information Center
Larson, Paul R.; Lohrengel, C. Frederick, II
2014-01-01
The Köppen climatic classification system in a modified format is the most widely applied system in use today. Mapping and analysis of hundreds of arid and semiarid climate stations has made the use of the additional fourth letter in BW/BS climates essential. The addition of "s," "w," or "f" to the standard…
Results of the UCAR 2008 Forum on Climate Mitigation and Adaptation
NASA Astrophysics Data System (ADS)
Fellows, J.; Barron, E.
2008-12-01
Mayors, governors, and local decision makers are developing climate change action plans. They are not waiting for the federal carbon emission reduction debates to conclude (e.g., cap and trade or carbon tax legislation). Many of them are struggling with what should be in these plans, what they should be assuming about future weather and climate trends, and what the impact might be on their community and its infrastructure. In October 2008, the University Corporation for Atmospheric Research held a forum at its 2008 Members' Meeting that focused on the UCAR community's role in climate change adaptation and mitigation. Many of UCAR's 71 university members are involved in projects with local and regional decision makers struggling with planning for the future in the face of climate change. The forum focused on the following questions: 1. How are these projects working and what lessons have we learned? 2. What can our community can do to assist these partnerships (e.g., models and other tools, better information, training opportunities, outreach, sharing ideas, etc.)? 3. Can we help our nation deal more effectively with climate mitigation and adaptation by being more strategic with these partnerships (e.g., more coordination, creating packages of tools and information, creating common approaches to climate action plans, developing better communication tools, community strategic planning effort, etc.)? This presentation will provide a summary of the forum outcomes.
Global Climate Change and the Mitigation Challenge
Book edited by Frank Princiotta titled Global Climate Change--The Technology Challenge Transparent modeling tools and the most recent literature are used, to quantify the challenge posed by climate change and potential technological remedies. The chapter examines forces driving ...
State Wildlife Action Plans as Tools for Adapting to a Continuously Changing Climate
NASA Astrophysics Data System (ADS)
Metivier, D. W.; Yocum, H.; Ray, A. J.
2015-12-01
Public land management plans are potentially powerful policies for building sustainability and adaptive capacity. Land managers are recognizing the need to respond to numerous climate change impacts on natural and human systems. For the first time, in 2015, the federal government required each state to incorporate climate change into their State Wildlife Action Plans (SWAP) as a condition for funding. As important land management tools, SWAPs have the potential to guide state agencies in shaping and implementing practices for climate change adaptation. Intended to be revised every ten years, SWAPs can change as conditions and understanding of climate change evolves. This study asks what practices are states using to integrate climate change, and how does this vary between states? To answer this question, we conducted a broad analysis among seven states (CO, MT, NE, ND, SD, UT, WY) and a more in-depth analysis of four states (CO, ND, SD, WY). We use seven key factors that represent best practices for incorporating climate change identified in the literature. These best practices are species prioritization, key habitats, threats, monitoring, partnerships and participation, identification of management options, and implementation of management options. The in-depth analysis focuses on how states are using climate change information for specific habitats addressed in the plans. We find that states are integrating climate change in many different ways, showing varying degrees of sophistication and preparedness. We summarize different practices and highlight opportunities to improve the effectiveness of plans through: communication tools across state lines and stakeholders, explicit targeting of key habitats, enforcement and monitoring progress and success, and conducting vulnerability analyses that incorporate topics beyond climate and include other drivers, trajectories, and implications of historic and future land-use change.
NASA Astrophysics Data System (ADS)
Budde, M. E.; Galu, G.; Funk, C. C.; Verdin, J. P.; Rowland, J.
2014-12-01
The Planning for Resilience in East Africa through Policy, Adaptation, Research, and Economic Development (PREPARED) is a multi-organizational project aimed at mainstreaming climate-resilient development planning and program implementation into the East African Community (EAC). The Famine Early Warning Systems Network (FEWS NET) has partnered with the PREPARED project to address three key development challenges for the EAC; 1) increasing resiliency to climate change, 2) managing trans-boundary freshwater biodiversity and conservation and 3) improving access to drinking water supply and sanitation services. USGS FEWS NET has been instrumental in the development of gridded climate data sets that are the fundamental building blocks for climate change adaptation studies in the region. Tools such as the Geospatial Climate Tool (GeoCLIM) have been developed to interpolate time-series grids of precipitation and temperature values from station observations and associated satellite imagery, elevation data, and other spatially continuous fields. The GeoCLIM tool also allows the identification of anomalies and assessments of both their frequency of occurrence and directional trends. A major effort has been put forth to build the capacities of local and regional institutions to use GeoCLIM to integrate their station data (which is not typically available to the public) into improved national and regional gridded climate data sets. In addition to the improvements and capacity building activities related to geospatial analysis tools, FEWS NET will assist in two other areas; 1) downscaling of climate change scenarios and 2) vulnerability impact assessments. FEWS NET will provide expertise in statistical downscaling of Global Climate Model output fields and work with regional institutions to assess results of other downscaling methods. Completion of a vulnerability impact assessment (VIA) involves the examination of sectoral consequences in identified climate "hot spots". FEWS NET will lead the VIA for the agriculture and food security sector, but will also provide key geospatial layers needed by multiple sectors in the areas of exposure, sensitivity, and adaptive capacity. Project implementation will strengthen regional coordination in policy-making, planning, and response to climate change issues.
Climate Project Screening Tool
Forest Service U.S. Department of Agriculture
2011-01-01
Climate change poses a challenge for resource managers as they review current management practices. Adaptation is a critical means of addressing climate change in the near future because, due to inherent time lags in climate impacts, the effects of increased atmospheric greenhouse gases will be felt for decades even if effective mitigation begins now. To address the...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-15
.... However, two issues-- climate change adaptation and socio-economic monitoring--were repeatedly raised. The... with climate change. The Council will use climate adaptation as a priority- setting tool, while still... stressors associated with climate change, (2) build conservation partnerships, (3) provide incentives to...
School Climate: Historical Review, Instrument Development, and School Assessment
ERIC Educational Resources Information Center
Zullig, Keith J.; Koopman, Tommy M.; Patton, Jon M.; Ubbes, Valerie A.
2010-01-01
This study's purpose is to examine the existing school climate literature in an attempt to constitute its definition from a historical context and to create a valid and reliable student-reported school climate instrument. Five historically common school climate domains and five measurement tools were identified, combined, and previewed by the…
Water Resources Risks and the Climate Resilience Toolkit: Tools, Case Studies, and Partnerships
NASA Astrophysics Data System (ADS)
Read, E. K.; Blodgett, D. L.; Booth, N.
2014-12-01
The Water Resources Risk topic of the Climate Resilience Toolkit (CRT) is designed to provide decision support, technical, and educational resources to communities, water resource managers, policy analysts, and water utilities working to increase the resilience of water resources to climate change. We highlight the partnerships (between federal and state agencies, non-governmental organizations, and private partners), tools (e.g., downscaled climate products, historical and real-time water data, and decision support) and success stories that are informing the CRT Water Resources Risks Theme content, and identify remaining needs in available resources for building resilience of water resources to climate change. The following questions will frame the content of the Water Resources Risk CRT: How are human and natural components of the hydrologic cycle changing? How can communities and water managers plan for uncertain future conditions? How will changing water resources impact food production, energy resources, ecosystems, and human health? What water resources data are of high value to society and are they easily accessible? Input on existing tools, resources, or potential partnerships that could be used to further develop content and fill gaps in the Water Resources CRT is welcome. We also invite ideas for water resources 'innovation challenges', in which technology developers work to create tools to that enhance the capacity of communities and managers to increase resilience of water resources at the local and regional scales.
Psychometric evaluation of the Arabic language person-centred climate questionnaire-staff version.
Aljuaid, Mohammed; Elmontsri, Mustafa; Edvardsson, David; Rawaf, Salman; Majeed, Azeem
2018-05-01
To evaluate the psychometric properties of the Arabic language person-centred climate questionnaire-staff version. There have been increasing calls for a person-centred rather than a disease-centred approach to health care. A limited number of tools measure the extent to which care is delivered in a person-centred manner, and none of these tools have been validated for us in Arab settings. The validated form of the person-centred climate questionnaire-staff version was translated into Arabic and distributed to 152 health care staff in teaching and non-teaching hospitals in Saudi Arabia. Statistical estimates of validity and reliability were used for psychometric evaluation. Items on the Arabic form of the person-centred climate questionnaire-staff version had high reliability (Cronbach's alpha .98). Cronbach's alpha values for the three sub-scales (safety, everydayness and community), were .96, .97 and .95 respectively. Internal consistency was also high and measures of validity were very good. Arabic form of the person-centred climate questionnaire-staff version provides a valid and reliable way to measure the degree of perceived person-centredness. The tool can be used for comparing levels of person-centredness between wards, units, and public and private hospitals. The tool can also be used to measure the extent of person-centredness in health care settings in other Arab countries. © 2017 John Wiley & Sons Ltd.
NASA Astrophysics Data System (ADS)
Amirazodi, S.; Griffin, R.; Bugbee, K.; Ramachandran, R.; Weigel, A. M.
2016-12-01
This project created a workbook which teaches Earth Science education undergraduate and graduate students through guided in-class activities and take-home assignments organized around climate topics which use GIS to teach key geospatial analysis techniques and cartography skills. The workbook is structured to the White House's Data.gov climate change themes, which include Coastal Flooding, Ecosystem Vulnerability, Energy Infrastructure, Arctic, Food Resilience, Human Health, Transportation, Tribal Nations, Water. Each theme provides access to framing questions, associated data, interactive tools, and further reading (e.g. the US Climate Resilience Toolkit and National Climate Assessment). Lessons make use of the respective theme's available resources. The structured thematic approach is designed to encourage independent exploration. The goal is to teach climate concepts and concerns, GIS techniques and approaches, and effective cartographic representation and communication of results; and foster a greater awareness of publically available resources and datasets. To reach more audiences more effectively, a two level approach was used. Level 1 serves as an introductory study and relies on only freely available interactive tools to reach audiences with fewer resources and less familiarity. Level 2 presents a more advanced case study, and focuses on supporting common commercially available tool use and real-world analysis techniques.
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
A Decision Analysis Tool for Climate Impacts, Adaptations, and Vulnerabilities
DOE Office of Scientific and Technical Information (OSTI.GOV)
Omitaomu, Olufemi A; Parish, Esther S; Nugent, Philip J
Climate change related extreme events (such as flooding, storms, and drought) are already impacting millions of people globally at a cost of billions of dollars annually. Hence, there are urgent needs for urban areas to develop adaptation strategies that will alleviate the impacts of these extreme events. However, lack of appropriate decision support tools that match local applications is limiting local planning efforts. In this paper, we present a quantitative analysis and optimization system with customized decision support modules built on geographic information system (GIS) platform to bridge this gap. This platform is called Urban Climate Adaptation Tool (Urban-CAT). Formore » all Urban-CAT models, we divide a city into a grid with tens of thousands of cells; then compute a list of metrics for each cell from the GIS data. These metrics are used as independent variables to predict climate impacts, compute vulnerability score, and evaluate adaptation options. Overall, the Urban-CAT system has three layers: data layer (that contains spatial data, socio-economic and environmental data, and analytic data), middle layer (that handles data processing, model management, and GIS operation), and application layer (that provides climate impacts forecast, adaptation optimization, and site evaluation). The Urban-CAT platform can guide city and county governments in identifying and planning for effective climate change adaptation strategies.« less
NASA Technical Reports Server (NTRS)
Amirazodi, Sara; Griffin, Robert; Bugbee, Kaylin; Ramachandran, Rahul; Weigel, Amanda
2016-01-01
This project created a workbook which teaches Earth Science to undergraduate and graduate students through guided in-class activities and take-home assignments organized around climate topics which use GIS to teach key geospatial analysis techniques and cartography skills. The workbook is structured to the White House's Data.gov climate change themes, which include Coastal Flooding, Ecosystem Vulnerability, Energy Infrastructure, Arctic, Food Resilience, Human Health, Transportation, Tribal Nations, and Water. Each theme provides access to framing questions, associated data, interactive tools, and further reading (e.g. The US Climate Resilience Toolkit and National Climate Assessment). Lessons make use of the respective theme's available resources. The structured thematic approach is designed to encourage independent exploration. The goal is to teach climate concepts and concerns, GIS techniques and approaches, and effective cartographic representation and communication results; and foster a greater awareness of publicly available resources and datasets. To reach more audiences more effectively, a two level approach was used. Level 1 serves as an introductory study and relies on only freely available interactive tools to reach audiences with fewer resources and less familiarity. Level 2 presents a more advanced case study, and focuses on supporting common commercially available tool use and real-world analysis techniques.
ERIC Educational Resources Information Center
George, David Alan; Tan, Poh-Ling; Clewett, Jeffrey Frank
2016-01-01
Using a participatory learning approach, we report on the delivery and evaluation of a climate change and risk assessment tool to help manage water risks within the agricultural sector. Post-graduate water-professional students from a range of countries, from both developed and emerging economies were involved in using this tool. Our approach…
USDA-ARS?s Scientific Manuscript database
A Visual Basic agro-climate application by climatologists at the International Center for Agricultural Research in the Dry Areas and the U.S. Department of Agriculture is described here. The database from which the application derives climate information consists of weather generator parameters der...
USDA-ARS?s Scientific Manuscript database
A Visual Basic agro-climate application developed by climatologists at the International Center for Agricultural Research in the Dry Areas and the U.S. Department of Agriculture is described here. The database from which the application derives climate information consists of weather generator param...
Cyberlearning for Climate Literacy: Challenges and Opportunities
NASA Astrophysics Data System (ADS)
McCaffrey, M. S.; Buhr, S. M.; Gold, A. U.; Ledley, T. S.; Mooney, M. E.; Niepold, F.
2010-12-01
Cyberlearning tools provide cost and carbon-efficient avenues for fostering a climate literate society through online engagement with learners. With climate change education becoming a Presidential Priority in 2009, funding for grants from NSF, NASA and NOAA is leading to a new generation of cyberlearning resources that supplement existing online resources. This paper provides an overview of challenges and opportunities relating to the online delivery of high quality, often complex climate science by examining several existing and emerging efforts, including the Climate Literacy and Energy Awareness Network (CLEAN,) a National Science Digital Library Pathway, the development by CIRES Education and Outreach of the Inspiring Climate Education Excellence (ICEE) online course, TERC’s Earth Exploration Toolbook (EET,) DataTools, and EarthLab modules, the NOAA Climate Stewards Education Program (CSEP) that utilizes the NSTA E-Learning Center, online efforts by members of the Federation of Earth Science Information Partners (ESIP), UCAR’s Climate Discovery program, and the Climate Adaptation, Mitigation e-Learning (CAMeL) project. In addition, we will summarize outcomes of the Cyberlearning for Climate Literacy workshop held in Washington DC in the Fall of 2009 and examine opportunities for teachers to develop and share their own lesson plans based on climate-related web resources that currently lack built-in learning activities, assessments or teaching tips.
Poghosyan, Lusine; Chaplin, William F; Shaffer, Jonathan A
2017-04-01
Favorable organizational climate in primary care settings is necessary to expand the nurse practitioner (NP) workforce and promote their practice. Only one NP-specific tool, the Nurse Practitioner Primary Care Organizational Climate Questionnaire (NP-PCOCQ), measures NP organizational climate. We confirmed NP-PCOCQ's factor structure and established its predictive validity. A crosssectional survey design was used to collect data from 314 NPs in Massachusetts in 2012. Confirmatory factor analysis and regression models were used. The 4-factor model characterized NP-PCOCQ. The NP-PCOCQ score predicted job satisfaction (beta = .36; p < .001) and intent to leave job (odds ratio = .28; p = .011). NP-PCOCQ can be used by researchers to produce new evidence and by administrators to assess organizational climate in their clinics. Further testing of NP-PCOCQ is needed.
NASA Astrophysics Data System (ADS)
Wartenburger, Richard; Hirschi, Martin; Donat, Markus G.; Greve, Peter; Pitman, Andy J.; Seneviratne, Sonia I.
2017-09-01
This article extends a previous study Seneviratne et al. (2016) to provide regional analyses of changes in climate extremes as a function of projected changes in global mean temperature. We introduce the DROUGHT-HEAT Regional Climate Atlas, an interactive tool to analyse and display a range of well-established climate extremes and water-cycle indices and their changes as a function of global warming. These projections are based on simulations from the fifth phase of the Coupled Model Intercomparison Project (CMIP5). A selection of example results are presented here, but users can visualize specific indices of interest using the online tool. This implementation enables a direct assessment of regional climate changes associated with global mean temperature targets, such as the 2 and 1.5° limits agreed within the 2015 Paris Agreement.
NASA Tools for Climate Impacts on Water Resources
NASA Technical Reports Server (NTRS)
Toll, David; Doorn, Brad
2010-01-01
Climate and environmental change are expected to fundamentally alter the nation's hydrological cycle and water availability. Satellites provide global or near-global coverage using instruments, allowing for consistent, well-calibrated, and equivalent-quality data of the Earth system. A major goal for NASA climate and environmental change research is to create multi-instrument data sets to span the multi-decadal time scales of climate change and to combine these data with those from modeling and surface-based observing systems to improve process understanding and predictions. NASA and Earth science data and analyses will ultimately enable more accurate climate prediction, and characterization of uncertainties. NASA's Applied Sciences Program works with other groups, including other federal agencies, to transition demonstrated observational capabilities to operational capabilities. A summary of some of NASA tools for improved water resources management will be presented.
A flexible tool for diagnosing water, energy, and entropy budgets in climate models
NASA Astrophysics Data System (ADS)
Lembo, Valerio; Lucarini, Valerio
2017-04-01
We have developed a new flexible software for studying the global energy budget, the hydrological cycle, and the material entropy production of global climate models. The program receives as input radiative, latent and sensible energy fluxes, with the requirement that the variable names are in agreement with the Climate and Forecast (CF) conventions for the production of NetCDF datasets. Annual mean maps, meridional sections and time series are computed by means of Climate Data Operators (CDO) collection of command line operators developed at Max-Planck Institute for Meteorology (MPI-M). If a land-sea mask is provided, the program also computes the required quantities separately on the continents and oceans. Depending on the user's choice, the program also calls the MATLAB software to compute meridional heat transports and location and intensities of the peaks in the two hemispheres. We are currently planning to adapt the program in order to be included in the Earth System Model eValuation Tool (ESMValTool) community diagnostics.
Faraday and the Philosophical Magazine
NASA Astrophysics Data System (ADS)
Weinberger, P.
2013-05-01
Faraday is considered to be one of the greatest scientists of all time. He not only was a meticulous experimentalist, a true experimental wizard, but also a very prolific author. The many important contributions (almost 50) that he published in the Philosophical Magazine make it highly desirable to catalogue his various inventions, 'discoveries' in his own words, in a scientific language so characteristic of the nineteenth century. It is the purpose of this commentary to guide the reader through his achievements in electrochemistry, magnetism, electric and electromagnetic induction, even 'industrial' applications; to enable him to address a present day audience by means of his contributions to the Philosophical Magazine.
NASA Astrophysics Data System (ADS)
Ambriola, M. L.; Barbiellini, G.; Bartalucci, S.; Basini, G.; Bellotti, R.; Bergstroem, D.; Bocciolini, M.; Boezio, M.; Bravar, U.; Cafagna, F.; Carlson, P.; Casolino, M.; Castellano, M.; Ciacio, F.; Circella, M.; de Marzo, C.; de Pascale, M. P.; Finetti, N.; Francke, T.; Hof, M.; Kremer, J.; Menn, W.; Mitchell, J. W.; Morselli, A.; Ormes, J. F.; Papini, P.; Perego, A.; Piccardi, S.; Picozza, P.; Ricci, M.; Schiavon, P.; Simon, M.; Sparvoli, R.; Spillantini, P.; Stephens, S. A.; Stochaj, S. J.; Streitmatter, R. E.; Suffert, M.; Vacchi, A.; Weber, N.; Zampa, N.
1999-08-01
CAPRICE98 is a superconducting magnetic spectrometer built by the WiZard collaboration. It was launched from Ft. Sumner, NM, USA on the 28th of May 1998. For the first time a gas RICH detector has been flown together with a silicon electromagnetic calorimeter. The instrument configuration included a time of flight detector and a drift chamber stack, which were placed in the region of a magnet field, for rigidity measurement. Science objectives for this experiment include the study of antimatter in cosmic rays and that of cosmic ray composition in the atmosphere with special focus on muons.
Dante Castellanos-Acuña; Kenneth W. Vance-Borland; J. Bradley St. Clair; Andreas Hamann; Javier López-Upton; Erika Gómez-Pineda; Juan Manuel Ortega-Rodríguez; Cuauhtémoc Sáenz-Romero
2018-01-01
Seed zones for forest tree species are a widely used tool in reforestation programs to ensure that seedlings are well adapted to their planting environments. Here, we propose a climate-based seed zone system for Mexico to address observed and projected climate change. The proposed seed zone classification is based on bands of climate variables often related to genetic...
Climate Change Education in Earth System Science
NASA Astrophysics Data System (ADS)
Hänsel, Stephanie; Matschullat, Jörg
2013-04-01
The course "Atmospheric Research - Climate Change" is offered to master Earth System Science students within the specialisation "Climate and Environment" at the Technical University Bergakademie Freiberg. This module takes a comprehensive approach to climate sciences, reaching from the natural sciences background of climate change via the social components of the issue to the statistical analysis of changes in climate parameters. The course aims at qualifying the students to structure the physical and chemical basics of the climate system including relevant feedbacks. The students can evaluate relevant drivers of climate variability and change on various temporal and spatial scales and can transform knowledge from climate history to the present and the future. Special focus is given to the assessment of uncertainties related to climate observations and projections as well as the specific challenges of extreme weather and climate events. At the end of the course the students are able to critically reflect and evaluate climate change related results of scientific studies and related issues in media. The course is divided into two parts - "Climate Change" and "Climate Data Analysis" and encompasses two lectures, one seminar and one exercise. The weekly "Climate change" lecture transmits the physical and chemical background for climate variation and change. (Pre)historical, observed and projected climate changes and their effects on various sectors are being introduced and discussed regarding their implications for society, economics, ecology and politics. The related seminar presents and discusses the multiple reasons for controversy in climate change issues, based on various texts. Students train the presentation of scientific content and the discussion of climate change aspects. The biweekly lecture on "Climate data analysis" introduces the most relevant statistical tools and methods in climate science. Starting with checking data quality via tools of exploratory data analysis the approaches on climate time series, trend analysis and extreme events analysis are explained. Tools to describe relations within the data sets and significance tests further corroborate this. Within the weekly exercises that have to be prepared at home, the students work with self-selected climate data sets and apply the learned methods. The presentation and discussion of intermediate results by the students is as much part of the exercises as the illustration of possible methodological procedures by the teacher using exemplary data sets. The total time expenditure of the course is 270 hours with 90 attendance hours. The remainder consists of individual studies, e.g., preparation of discussions and presentations, statistical data analysis, and scientific writing. Different forms of examination are applied including written or oral examination, scientific report, presentation and portfolio work.
NASA Astrophysics Data System (ADS)
de Noblet, Nathalie; Levrault, Frédéric; Caubel, Julie; Garcia de CortazarAtauri, Iñaki; Vivant, Anne-Charlotte; Wieruszeski, Sophie; Launay, Marie
2016-04-01
The french agriculture is a sector particularly concerned by climate change: the scale of the already observed impacts and the expected climatic evolutions prevent any hesitation on the necessity of an adaptation of agriculture. This assessment is simultaneously shared by the scientific, political as well as the economic communities. However, a generalized and organized movement of adaptation of agriculture has difficulty in emerging in France and maybe in other countries, while past decades have seen the development of research projects and publications on the adaptation to climate change. Two parallel initiatives have been run in France over the past 5 years, that happen to share the same name while not involving the same actors: an observatory of climate change and agriculture functioning (ORACLE: Observatoire Régional sur l'Agriculture et le Changement Climatique), and a nationally funded research project that explores with various tools risks and opportunities for agro-ecosystems in the future in France (ORACLE: Opportunities and Risks of Agrosystems & forests in response to CLimate, socio-economic and policy changEs in France). The Observatory is carrying on a regional analysis of historical trends of both climatic and agricultural variables. It has for ambition to help the agricultural world to better integrate the evolution of climate into its decision-making, for purposes of adaptation as well as mitigation. The observatory is run since year 2011 in the Poitou-Charentes region and is now being implemented in other regions in France (Aquitaine, Pays de la Loire, Champagne Ardennes, Normandie). The research project has looked into the impacts of various scenarios of climate change through the use of various techniques : mechanistic models (Calvet et al. 2013, Wu et al. 2016) and eco-climatic indicators (Caubel et al. 2015). Informations regarding risks and opportunities for large crops in France is in the process being assessed though those tools and results. Both projects have identified weaknesses regarding the appropriation of their findings by the economic players. This is why we propose to revitalize the adaptation of French agriculture to climate change via four ways of action: • Set-up an organization at the national level to improve the distribution and use of any available study, indicator, tool, … ; • Improve and better coordinate students' and professionnal training to increase the skills of actors of the agricultural world and fasten the flow of information-findings-tools ; • Work on what 'transfer of knowledge' means when going from scientists to actors. We suggest the start of a mid-term virtuous circle ( 5 - 7 years) that will allow to understand the observed changes, test our tools and indicators on observed climate and analyze the various climate change scenarios provided ; • Specify the improvements to be operated in national planning texts, such as the 'Plan national d'adaptation au changement climatique' that has been elaborated by the Ministry of Environment and Sustainable Development.
Climate forecasts for corn producer decision making
USDA-ARS?s Scientific Manuscript database
Corn is the most widely grown crop in the Americas, with annual production in the United States of approximately 332 million metric tons. Improved climate forecasts, together with climate-related decision tools for corn producers based on these improved forecasts, could substantially reduce uncertai...
ParCAT: A Parallel Climate Analysis Toolkit
NASA Astrophysics Data System (ADS)
Haugen, B.; Smith, B.; Steed, C.; Ricciuto, D. M.; Thornton, P. E.; Shipman, G.
2012-12-01
Climate science has employed increasingly complex models and simulations to analyze the past and predict the future of our climate. The size and dimensionality of climate simulation data has been growing with the complexity of the models. This growth in data is creating a widening gap between the data being produced and the tools necessary to analyze large, high dimensional data sets. With single run data sets increasing into 10's, 100's and even 1000's of gigabytes, parallel computing tools are becoming a necessity in order to analyze and compare climate simulation data. The Parallel Climate Analysis Toolkit (ParCAT) provides basic tools that efficiently use parallel computing techniques to narrow the gap between data set size and analysis tools. ParCAT was created as a collaborative effort between climate scientists and computer scientists in order to provide efficient parallel implementations of the computing tools that are of use to climate scientists. Some of the basic functionalities included in the toolkit are the ability to compute spatio-temporal means and variances, differences between two runs and histograms of the values in a data set. ParCAT is designed to facilitate the "heavy lifting" that is required for large, multidimensional data sets. The toolkit does not focus on performing the final visualizations and presentation of results but rather, reducing large data sets to smaller, more manageable summaries. The output from ParCAT is provided in commonly used file formats (NetCDF, CSV, ASCII) to allow for simple integration with other tools. The toolkit is currently implemented as a command line utility, but will likely also provide a C library for developers interested in tighter software integration. Elements of the toolkit are already being incorporated into projects such as UV-CDAT and CMDX. There is also an effort underway to implement portions of the CCSM Land Model Diagnostics package using ParCAT in conjunction with Python and gnuplot. ParCAT is implemented in C to provide efficient file IO. The file IO operations in the toolkit use the parallel-netcdf library; this enables the code to use the parallel IO capabilities of modern HPC systems. Analysis that currently requires an estimated 12+ hours with the traditional CCSM Land Model Diagnostics Package can now be performed in as little as 30 minutes on a single desktop workstation and a few minutes for relatively small jobs completed on modern HPC systems such as ORNL's Jaguar.
ERIC Educational Resources Information Center
Durham, Rachel E.; Bettencourt, Amie; Connolly, Faith
2014-01-01
Despite--or perhaps due to--the lack of consensus on its definition, there is abundant interest in and research on school climate. Researchers have determined that improving school climate is one way to increase academic achievement, school safety, school completion, teacher retention, healthy social interactions, and student well-being (Cohen,…
Federal Register 2010, 2011, 2012, 2013, 2014
2010-09-08
... Climate and Land Use Scenarios, a project which is described in the 2009 EPA Report, ``Land-Use Scenarios: National-Scale Housing- Density Scenarios Consistent with Climate Change Storylines.'' These scenarios are... economic development, which are used by climate change modelers to develop projections of future climate...
Tools for assessing climate impacts on fish and wildlife
Chad B. Wilsey; Joshua J. Lawler; Edwin P. Maurer; Donald McKenzie; Patricia A. Townsend; Richard Gwozdz; James A. Freund; Keala Hagmann; Karen M. Hutten
2013-01-01
Climate change is already affecting many fish and wildlife populations. Managing these populations requires an understanding of the nature, magnitude, and distribution of current and future climate impacts. Scientists and managers have at their disposal a wide array of models for projecting climate impacts that can be used to build such an understanding. Here, we...
A network-base analysis of CMIP5 "historical" experiments
NASA Astrophysics Data System (ADS)
Bracco, A.; Foudalis, I.; Dovrolis, C.
2012-12-01
In computer science, "complex network analysis" refers to a set of metrics, modeling tools and algorithms commonly used in the study of complex nonlinear dynamical systems. Its main premise is that the underlying topology or network structure of a system has a strong impact on its dynamics and evolution. By allowing to investigate local and non-local statistical interaction, network analysis provides a powerful, but only marginally explored, framework to validate climate models and investigate teleconnections, assessing their strength, range, and impacts on the climate system. In this work we propose a new, fast, robust and scalable methodology to examine, quantify, and visualize climate sensitivity, while constraining general circulation models (GCMs) outputs with observations. The goal of our novel approach is to uncover relations in the climate system that are not (or not fully) captured by more traditional methodologies used in climate science and often adopted from nonlinear dynamical systems analysis, and to explain known climate phenomena in terms of the network structure or its metrics. Our methodology is based on a solid theoretical framework and employs mathematical and statistical tools, exploited only tentatively in climate research so far. Suitably adapted to the climate problem, these tools can assist in visualizing the trade-offs in representing global links and teleconnections among different data sets. Here we present the methodology, and compare network properties for different reanalysis data sets and a suite of CMIP5 coupled GCM outputs. With an extensive model intercomparison in terms of the climate network that each model leads to, we quantify how each model reproduces major teleconnections, rank model performances, and identify common or specific errors in comparing model outputs and observations.
NASA Astrophysics Data System (ADS)
Ceccato, P.; Bell, M. A.; Mantilla, G.; Thomson, M. C.
2012-12-01
This presentation will provide an overview of capacity-building activities developed by the International Research Institute for Climate and Society to help diverse stakeholder communities use remote sensing to monitor climate and environmental factors that influence public health, natural disasters and food security. Teaching at a graduate level at Columbia University, at summer institutes and in counties, we developed training modules and case studies on how to combine remote sensing data to monitor precipitation, temperature, vegetation, and water bodies with climate information and field data (e.g. fires, infectious disease incidence, Desert Locusts) to 1) understand the relationship between climate, environmental factors and specific challenges to development and 2) provide methodologies and tools to forecast and better manage the problems. At Columbia University, we have developed a graduate course that provides the practical and theoretical foundations for the application of remote sensing techniques to the identification and monitoring of environmental change. We use the IRI Data Library, an online tool, to i) manage diverse data, ii) visualize data, iii) analyze remote sensing images and iii) combine data from different sources (e.g., fires, public health, natural disasters, agriculture). The IRI Data Library tool allows the users to analyze on-line climatic and environmental factors in relation to particular problems at various space and time scales. A Summer Institute on Climate Information for Public Health, first developed in 2008, has brought together experts from the public health and climate communities at the IRI to learn how to integrate climate and environmental factors with public health issues. In countries and regions, we also provide training for climate and public health working professionals in Madagascar, Ethiopia, Eritrea, Colombia and the Mercosur Region (including Uruguay, Paraguay, Brazil and Argentina).
NASA Astrophysics Data System (ADS)
O'Neill, B. C.; Kauffman, B.; Lawrence, P.
2016-12-01
Integrated analysis of questions regarding land, water, and energy resources often requires integration of models of different types. One type of integration is between human and earth system models, since both societal and physical processes influence these resources. For example, human processes such as changes in population, economic conditions, and policies govern the demand for land, water and energy, while the interactions of these resources with physical systems determine their availability and environmental consequences. We have begun to develop and use a toolkit for linking human and earth system models called the Toolbox for Human-Earth System Integration and Scaling (THESIS). THESIS consists of models and software tools to translate, scale, and synthesize information from and between human system models and earth system models (ESMs), with initial application to linking the NCAR integrated assessment model, iPETS, with the NCAR earth system model, CESM. Initial development is focused on urban areas and agriculture, sectors that are both explicitly represented in both CESM and iPETS. Tools are being made available to the community as they are completed (see https://www2.cgd.ucar.edu/sections/tss/iam/THESIS_tools). We discuss four general types of functions that THESIS tools serve (Spatial Distribution, Spatial Properties, Consistency, and Outcome Evaluation). Tools are designed to be modular and can be combined in order to carry out more complex analyses. We illustrate their application to both the exposure of population to climate extremes and to the evaluation of climate impacts on the agriculture sector. For example, projecting exposure to climate extremes involves use of THESIS tools for spatial population, spatial urban land cover, the characteristics of both, and a tool to bring urban climate information together with spatial population information. Development of THESIS tools is continuing and open to the research community.
Central America Regional Climate Change Program: Tools for Your Use
NASA Technical Reports Server (NTRS)
Irwin, Dan; Irving, Bill; Yeager, Carey
2006-01-01
USAID/E-CAM and EGAT's Global Climate Change Team, in partnership with EPA, NASA, Oak Ridge National Lab, and the Central American Commission for Environment and Development (CCAD), have had a significant impact on the region's ability to monitor, mitigate, and adapt to environmental threats. Environmental decision-making tools and data are posted on a website (SERVIR: http://servir.nsstc.nasa.pov/home.html)that provides satellite and geographic data and maps to anybody with an Internet connection. The SERVIR program has been identified as the model for the Global Earth Observation System of Systems (GEOSS) - a major international effort to develop a 21st century system for environmental management and disaster response. In coordination with the USAID/EPA program, NASA has developed a GIs tool that enables countries to examine their forest cover and document changes on an annual basis. This information is used in calculating carbon emissions as part of greenhouse gas inventories, but also serves a valuable monitoring function. In addition, USAID/E-CAM and EGAT's Global Climate Change Team in collaboration with EPA are helping countries meet their obligations as signatories to the United Nations Framework Convention on Climate Change (UNFCCC). EPA is assisting Central American governments to improve the quality of their greenhouse gas emission inventories reported to the UNFCCC through the development of tools and improvements in data quality. New EPA tools developed include software to automatically calculate greenhouse gas emissions for the agricultural and forestry sector inventories, determine key sources of greenhouse gas emissions, and document institutional arrangements. Several of these tools are state of the art and are comparable to tools currently used in the U.S.
NASA Astrophysics Data System (ADS)
Bush, D. F.; Sieber, R.; Seiler, G.; Chandler, M. A.; Chmura, G. L.
2017-12-01
Efforts to address climate change require public understanding of Earth and climate science. To meet this need, educators require instructional approaches and scientific technologies that overcome cultural barriers to impart conceptual understanding of the work of climate scientists. We compared student inquiry learning with now ubiquitous climate education toy models, data and tools against that which took place using a computational global climate model (GCM) from the National Aeronautics and Space Administration (NASA). Our study at McGill University and John Abbott College in Montreal, QC sheds light on how best to teach the research processes important to Earth and climate scientists studying atmospheric and Earth system processes but ill-understood by those outside the scientific community. We followed a pre/post, control/treatment experimental design that enabled detailed analysis and statistically significant results. Our research found more students succeed at understanding climate change when exposed to actual climate research processes and instruments. Inquiry-based education with a GCM resulted in significantly higher scores pre to post on diagnostic exams (quantitatively) and more complete conceptual understandings (qualitatively). We recognize the difficulty in planning and teaching inquiry with complex technology and we also found evidence that lectures support learning geared toward assessment exams.
Software Analysis of New Space Gravity Data for Geophysics and Climate Research
NASA Technical Reports Server (NTRS)
Deese, Rupert; Ivins, Erik R.; Fielding, Eric J.
2012-01-01
Both the Gravity Recovery and Climate Experiment (GRACE) and Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellites are returning rich data for the study of the solid earth, the oceans, and the climate. Current software analysis tools do not provide researchers with the ease and flexibility required to make full use of this data. We evaluate the capabilities and shortcomings of existing software tools including Mathematica, the GOCE User Toolbox, the ICGEM's (International Center for Global Earth Models) web server, and Tesseroids. Using existing tools as necessary, we design and implement software with the capability to produce gridded data and publication quality renderings from raw gravity data. The straight forward software interface marks an improvement over previously existing tools and makes new space gravity data more useful to researchers. Using the software we calculate Bouguer anomalies of the gravity tensor's vertical component in the Gulf of Mexico, Antarctica, and the 2010 Maule earthquake region. These maps identify promising areas of future research.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Collins, William D.; Craig, Anthony P.; Truesdale, John E.
The integrated Earth System Model (iESM) has been developed as a new tool for pro- jecting the joint human/climate system. The iESM is based upon coupling an Integrated Assessment Model (IAM) and an Earth System Model (ESM) into a common modeling in- frastructure. IAMs are the primary tool for describing the human–Earth system, including the sources of global greenhouse gases (GHGs) and short-lived species, land use and land cover change, and other resource-related drivers of anthropogenic climate change. ESMs are the primary scientific tools for examining the physical, chemical, and biogeochemical impacts of human-induced changes to the climate system. Themore » iESM project integrates the economic and human dimension modeling of an IAM and a fully coupled ESM within a sin- gle simulation system while maintaining the separability of each model if needed. Both IAM and ESM codes are developed and used by large communities and have been extensively applied in recent national and international climate assessments. By introducing heretofore- omitted feedbacks between natural and societal drivers, we can improve scientific under- standing of the human–Earth system dynamics. Potential applications include studies of the interactions and feedbacks leading to the timing, scale, and geographic distribution of emissions trajectories and other human influences, corresponding climate effects, and the subsequent impacts of a changing climate on human and natural systems. This paper de- scribes the formulation, requirements, implementation, testing, and resulting functionality of the first version of the iESM released to the global climate community.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Collins, W. D.; Craig, A. P.; Truesdale, J. E.
The integrated Earth system model (iESM) has been developed as a new tool for projecting the joint human/climate system. The iESM is based upon coupling an integrated assessment model (IAM) and an Earth system model (ESM) into a common modeling infrastructure. IAMs are the primary tool for describing the human–Earth system, including the sources of global greenhouse gases (GHGs) and short-lived species (SLS), land use and land cover change (LULCC), and other resource-related drivers of anthropogenic climate change. ESMs are the primary scientific tools for examining the physical, chemical, and biogeochemical impacts of human-induced changes to the climate system. Themore » iESM project integrates the economic and human-dimension modeling of an IAM and a fully coupled ESM within a single simulation system while maintaining the separability of each model if needed. Both IAM and ESM codes are developed and used by large communities and have been extensively applied in recent national and international climate assessments. By introducing heretofore-omitted feedbacks between natural and societal drivers, we can improve scientific understanding of the human–Earth system dynamics. Potential applications include studies of the interactions and feedbacks leading to the timing, scale, and geographic distribution of emissions trajectories and other human influences, corresponding climate effects, and the subsequent impacts of a changing climate on human and natural systems. This paper describes the formulation, requirements, implementation, testing, and resulting functionality of the first version of the iESM released to the global climate community.« less
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.
NASA Astrophysics Data System (ADS)
Ferguson, I. M.; McGuire, M.; Broman, D.; Gangopadhyay, S.
2017-12-01
The Bureau of Reclamation is a Federal agency tasked with developing and managing water supply and hydropower projects in the Western U.S. Climate and hydrologic variability and change significantly impact management actions and outcomes across Reclamation's programs and initiatives, including water resource planning and operations, infrastructure design and maintenance, hydropower generation, and ecosystem restoration, among others. Planning, design, and implementation of these programs therefore requires consideration of future climate and hydrologic conditions will impact program objectives. Over the past decade, Reclamation and other Federal agencies have adopted new guidelines, directives, and mandates that require consideration of climate change in water resources planning and decision making. Meanwhile, the scientific community has developed a large number of climate projections, along with an array of models, methods, and tools to facilitate consideration of climate projections in planning and decision making. However, water resources engineers, planners, and decision makers continue to face challenges regarding how best to use the available data and tools to support major decisions, including decisions regarding infrastructure investments and long-term operating criteria. This presentation will discuss recent and ongoing research towards understanding, improving, and expanding consideration of climate projections and related uncertainties in Federal water resources planning and decision making. These research efforts address a variety of challenges, including: How to choose between available climate projection datasets and related methods, models, and tools—many of which are considered experimental or research tools? How to select an appropriate decision framework when design or operating alternatives may differ between climate scenarios? How to effectively communicate results of a climate impacts analysis to decision makers? And, how to improve robustness and resilience of water resources systems in the face of significant uncertainty? Discussion will focus on the intersection between technical challenges and decision making paradigms and the need for improved scientist-decision maker engagement through the lens of this Federal water management agency.
Case study applications of the BASINS climate assessment tool (CAT)
This EPA report will illustrate the application of different climate assessment capabilities within EPA’s BASINS modeling system for assessing a range of potential questions about the effects of climate change on streamflow and water quality in different watershed settings and us...
Firing Range Contaminants and Climate Change Tool: Spreadsheet User Instructions
2017-09-18
Chief, CEERD-EPR; Mr. Warren Lorenz was Branch Chief, CEERD-EP; and Dr. Elizabeth Ferguson, CEERD- EM -J was the Technical Director for Environmental...changes. 15. SUBJECT TERMS Bombing and gunnery ranges, Rifle-ranges, Pollutants, Soil pollution-- Climatic factors, Climatic changes 16. SECURITY
Uncertainty in simulating wheat yields under climate change
USDA-ARS?s Scientific Manuscript database
Anticipating the impacts of climate change on crop yields is critical for assessing future food security. Process-based crop simulation models are the most commonly used tools in such assessments. Analysis of uncertainties in future greenhouse gas emissions and their impacts on future climate change...
Understanding impacts of climate change on hydrodynamic processes and ecosystem response within the Great Lakes is an important and challenging task. Variability in future climate conditions, uncertainty in rainfall-runoff model forecasts, the potential for land use change, and t...
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.
NCAR Johns Hopkins/CDC Climate and Health Summer Institute
NASA Technical Reports Server (NTRS)
Mearns, Linda O.
2005-01-01
The interactions between climate and health are rife with complexity and present many conceptual and methodological challenges. Possible effects of climate change on health are considered some of the most sensitive impacts of climate change and are a high priority for policy-makers and the public. As a first step toward improving tlit: quality of research, we developed a Climate and Health Workshop (Institute), geared toward teaching students various aspects of how to conduct integrated climate and health research. At the workshop scientists presented selected case studies of climate and health (e.g., heat mortality, vector-borne diseases), thus demonstrating a subset of key analytical tools and databases most useful to researchers in this field. Key research gaps in this research area were discussed. In this six-day Institute (21-28 July 2004, Boulder, Colorado), health scientists and students benefited from lectures and hands-on tools taught by top NCAR scientists. The attendees learned about health databases and epidemiologic methods from leading health scientists from CDC, Johns Hopkins, and other institutions from around the globe.
NASA Astrophysics Data System (ADS)
Ammann, C. M.; Brown, B.; Kalb, C. P.; Bullock, R.; Buja, L.; Gutowski, W. J., Jr.; Halley-Gotway, J.; Kaatz, L.; Yates, D. N.
2017-12-01
Coordinated, multi-model climate change projection archives have already led to a flourishing of new climate impact applications. Collections and online tools for the computation of derived indicators have attracted many non-specialist users and decision-makers and facilitated for them the exploration of potential future weather and climate changes on their systems. Guided by a set of standardized steps and analyses, many can now use model output and determine basic model-based changes. But because each application and decision-context is different, the question remains if such a small collection of standardized tools can faithfully and comprehensively represent the critical physical context of change? We use the example of the El Niño - Southern Oscillation, the largest and most broadly recognized mode of variability in the climate system, to explore the difference in impact contexts between a quasi-blind, protocol-bound and a flexible, scientifically guided use of climate information. More use oriented diagnostics of the model-data as well as different strategies for getting data into decision environments are explored.
Using Global Climate Data to Inform Long-Term Water Planning Decisions
NASA Astrophysics Data System (ADS)
Groves, D. G.; Lempert, R.
2008-12-01
Water managers throughout the world are working to consider climate change in their long-term water planning processes. The best available information regarding plausible future hydrologic conditions are largely derived from global circulation models and from paleoclimate data. To date there lacks a single approach for (1) utilizing these data in water management planning tools for analysis and (2) evaluating the myriad of possible adaptation options. This talk will describe several approaches being used at RAND to incorporate global projections of climate change into local, regional, and state-wide long-term water planning. It will draw on current work with the California Department of Water Resources and other local Western water agencies, and a recently completed project with the Inland Empire Utilities Agency. Work to date suggests that climate information can be assimilated into local water planning tools to help identify robust climate adaptation water management strategies.
Climate Change Risk Management Consulting: The opportunity for an independent business practice
NASA Astrophysics Data System (ADS)
Ciccozzi, R.
2009-04-01
The Paper outlines the main questions to be addressed with reference to the actual demand of climate change risk management consulting, in the financial services. Moreover, the Project shall also try to investigate if the Catastrophe Modelling Industry can start and manage a business practice specialised on climate change risk exposures. In this context, the Paper aims at testing the possibility to build a sound business case, based upon typical MBA course analysis tools, such as PEST(LE), SWOT, etc. Specific references to the tools to be used and to other contribution from academic literature and general documentation are also discussed in the body of the Paper and listed at the end. The analysis shall also focus on the core competencies required for an independent climate change risk management consulting business practice, with the purpose to outline a valid definition of how to achieve competitive advantage in climate change risk management consulting.
Information on climate change impacts to different estuary regions, tools and resources to monitor changes, and information to help managers develop adaptation plans for risk management of estuaries and coastal communities.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Jones, Andew; Di Vittorio, Alan; Collins, William
The integrated Earth system model (iESM) has been developed as a new tool for projecting the joint human/climate system. The iESM is based upon coupling an integrated assessment model (IAM) and an Earth system model (ESM) into a common modeling infrastructure. IAMs are the primary tool for describing the human-Earth system, including the sources of global greenhouse gases (GHGs) and short-lived species (SLS), land use and land cover change (LULCC), and other resource-related drivers of anthropogenic climate change. ESMs are the primary scientific tools for examining the physical, chemical, and biogeochemical impacts of human-induced changes to the climate system. Themore » iESM project integrates the economic and human-dimension modeling of an IAM and a fully coupled ESM within a single simulation system while maintaining the separability of each model if needed. Both IAM and ESM codes are developed and used by large communities and have been extensively applied in recent national and international climate assessments. By introducing heretofore-omitted feedbacks between natural and societal drivers, we can improve scientific understanding of the human-Earth system dynamics. Potential applications include studies of the interactions and feedbacks leading to the timing, scale, and geographic distribution of emissions trajectories and other human influences, corresponding climate effects, and the subsequent impacts of a changing climate on human and natural systems.« less
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
Forest Adaptation Resources: climate change tools and approaches for land managers, 2nd edition
Christopher W. Swanston; Maria K. Janowiak; Leslie A. Brandt; Patricia R. Butler; Stephen D. Handler; P. Danielle Shannon; Abigail Derby Lewis; Kimberly Hall; Robert T. Fahey; Lydia Scott; Angela Kerber; Jason W. Miesbauer; Lindsay Darling
2016-01-01
Forests across the United States are expected to undergo numerous changes in response to the changing climate. This second edition of the Forest Adaptation Resources provides a collection of resources designed to help forest managers incorporate climate change considerations into management and devise adaptation tactics. It was developed as part of the Climate Change...
Jessica E. Halofsky; David L. Peterson; Kerry L. Metlen; Gwyneth M. Myer; Alaric V. Sample
2016-01-01
Climate change will likely have significant effects on forest ecosystems worldwide. In Mediterranean regions, such as that in southwestern Oregon, USA, changes will likely be driven mainly by wildfire and drought. To minimize the negative effects of climate change, resource managers require tools and information to assess climate change vulnerabilities and to develop...
Climate Change Impacts on Hydrology and Water Management of the San Juan Basin
NASA Astrophysics Data System (ADS)
Rich, P. M.; Weintraub, L. H.; Chen, L.; Herr, J.
2005-12-01
Recent climatic events, including regional drought and increased storm severity, have accentuated concerns that climatic extremes may be increasing in frequency and intensity due to global climate change. As part of the ZeroNet Water-Energy Initiative, the San Juan Decision Support System includes a basin-scale modeling tool to evaluate effects of climate change on water budgets under different climate and management scenarios. The existing Watershed Analysis Risk Management Framework (WARMF) was enhanced with iterative modeling capabilities to enable construction of climate scenarios based on historical and projected data. We applied WARMF to 42,000 km2 (16,000 mi2) of the San Juan Basin (CO, NM) to assess impacts of extended drought and increased temperature on surface water balance. Simulations showed that drought and increased temperature impact water availability for all sectors (agriculture, energy, municipal, industry), and lead to increased frequency of critical shortages. Implementation of potential management alternatives such as "shortage sharing" or degraded water usage during critical years helps improve available water supply. In the face of growing concern over climate change, limited water resources, and competing demands, integrative modeling tools can enable better understanding of complex interconnected systems, and enable better decisions.
Crop response to climate: ecophysical models
USDA-ARS?s Scientific Manuscript database
Ecophysiological models were the dominant tools used to estimate the potential impact of climate change in agroecosystems in the Third and Fourth Assessment Reports of the IPCC and are widely used elsewhere in climate change research. These models, also known as “crop models” or “simulation models”,...
ASR Application in Climate Change Adaptation: The Need, Issues and Research Focus
This presentation will focus on four key points: (a) Aquifer storage and recovery: a long-held practice offering a potential tool for climate change adaptation, (b) The drivers: 1) hydrological perturbations related to climate change, 2) water imbalance in both Qand Vbetween wat...
Investigating Climate Change Issues With Web-Based Geospatial Inquiry Activities
NASA Astrophysics Data System (ADS)
Dempsey, C.; Bodzin, A. M.; Sahagian, D. L.; Anastasio, D. J.; Peffer, T.; Cirucci, L.
2011-12-01
In the Environmental Literacy and Inquiry middle school Climate Change curriculum we focus on essential climate literacy principles with an emphasis on weather and climate, Earth system energy balance, greenhouse gases, paleoclimatology, and how human activities influence climate change (http://www.ei.lehigh.edu/eli/cc/). It incorporates a related set of a framework and design principles to provide guidance for the development of the geospatial technology-integrated Earth and environmental science curriculum materials. Students use virtual globes, Web-based tools including an interactive carbon calculator and geologic timeline, and inquiry-based lab activities to investigate climate change topics. The curriculum includes educative curriculum materials that are designed to promote and support teachers' learning of important climate change content and issues, geospatial pedagogical content knowledge, and geographic spatial thinking. The curriculum includes baseline instructional guidance for teachers and provides implementation and adaptation guidance for teaching with diverse learners including low-level readers, English language learners and students with disabilities. In the curriculum, students use geospatial technology tools including Google Earth with embedded spatial data to investigate global temperature changes, areas affected by climate change, evidence of climate change, and the effects of sea level rise on the existing landscape. We conducted a designed-based research implementation study with urban middle school students. Findings showed that the use of the Climate Change curriculum showed significant improvement in urban middle school students' understanding of climate change concepts.
Modeling the Environmental Impact of Air Traffic Operations
NASA Technical Reports Server (NTRS)
Chen, Neil
2011-01-01
There is increased interest to understand and mitigate the impacts of air traffic on the climate, since greenhouse gases, nitrogen oxides, and contrails generated by air traffic can have adverse impacts on the climate. The models described in this presentation are useful for quantifying these impacts and for studying alternative environmentally aware operational concepts. These models have been developed by leveraging and building upon existing simulation and optimization techniques developed for the design of efficient traffic flow management strategies. Specific enhancements to the existing simulation and optimization techniques include new models that simulate aircraft fuel flow, emissions and contrails. To ensure that these new models are beneficial to the larger climate research community, the outputs of these new models are compatible with existing global climate modeling tools like the FAA's Aviation Environmental Design Tool.
NASA Astrophysics Data System (ADS)
McKenney, D.; Pedlar, J.
2011-12-01
Climate is one of the major influences on forests and much effort has gone into projecting the impacts of rapid climate change on forest distribution and productivity. Such efforts are premised on the notion that the current generation of Global Climate Models (GCMs) provide reasonably accurate representations of future climate. But what is the appropriate level of faith to put in these projections when making relatively fine-scale resource management decisions such as the movement of plant genetic material? In this talk we review recent outcomes of climate envelope models for North American tree species that suggest optimal climate regimes could move on average ~700km within the next 100 years. Newer generation GCMs seem to confirm these results but much uncertainty remains for practical decision-making. Despite these uncertainties, assisted migration has been suggested as a climate change adaptation tool wherein populations of trees are moved up to a few hundred kilometers north (or a few hundred meters upslope) to keep pace with the anticipated changes in optimal climate regimes. A continent-wide web based tool (SEEDWHERE) is presented, which assists in identifying appropriate translocation distances for assisted migration initiatives. We finish with some suggestions for future work on the topic of forest regeneration decisions under an evolving and uncertain future climate.
Bauer, C R K D; Ganslandt, T; Baum, B; Christoph, J; Engel, I; Löbe, M; Mate, S; Stäubert, S; Drepper, J; Prokosch, H-U; Winter, A; Sax, U
2016-01-01
In recent years, research data warehouses moved increasingly into the focus of interest of medical research. Nevertheless, there are only a few center-independent infrastructure solutions available. They aim to provide a consolidated view on medical data from various sources such as clinical trials, electronic health records, epidemiological registries or longitudinal cohorts. The i2b2 framework is a well-established solution for such repositories, but it lacks support for importing and integrating clinical data and metadata. The goal of this project was to develop a platform for easy integration and administration of data from heterogeneous sources, to provide capabilities for linking them to medical terminologies and to allow for transforming and mapping of data streams for user-specific views. A suite of three tools has been developed: the i2b2 Wizard for simplifying administration of i2b2, the IDRT Import and Mapping Tool for loading clinical data from various formats like CSV, SQL, CDISC ODM or biobanks and the IDRT i2b2 Web Client Plugin for advanced export options. The Import and Mapping Tool also includes an ontology editor for rearranging and mapping patient data and structures as well as annotating clinical data with medical terminologies, primarily those used in Germany (ICD-10-GM, OPS, ICD-O, etc.). With the three tools functional, new i2b2-based research projects can be created, populated and customized to researcher's needs in a few hours. Amalgamating data and metadata from different databases can be managed easily. With regards to data privacy a pseudonymization service can be plugged in. Using common ontologies and reference terminologies rather than project-specific ones leads to a consistent understanding of the data semantics. i2b2's promise is to enable clinical researchers to devise and test new hypothesis even without a deep knowledge in statistical programing. The approach presented here has been tested in a number of scenarios with millions of observations and tens of thousands of patients. Initially mostly observant, trained researchers were able to construct new analyses on their own. Early feedback indicates that timely and extensive access to their "own" data is appreciated most, but it is also lowering the barrier for other tasks, for instance checking data quality and completeness (missing data, wrong coding).
A new statistical tool for NOAA local climate studies
NASA Astrophysics Data System (ADS)
Timofeyeva, M. M.; Meyers, J. C.; Hollingshead, A.
2011-12-01
The National Weather Services (NWS) Local Climate Analysis Tool (LCAT) is evolving out of a need to support and enhance the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) field offices' ability to efficiently access, manipulate, and interpret local climate data and characterize climate variability and change impacts. LCAT will enable NOAA's staff to conduct regional and local climate studies using state-of-the-art station and reanalysis gridded data and various statistical techniques for climate analysis. The analysis results will be used for climate services to guide local decision makers in weather and climate sensitive actions and to deliver information to the general public. LCAT will augment current climate reference materials with information pertinent to the local and regional levels as they apply to diverse variables appropriate to each locality. The LCAT main emphasis is to enable studies of extreme meteorological and hydrological events such as tornadoes, flood, drought, severe storms, etc. LCAT will close a very critical gap in NWS local climate services because it will allow addressing climate variables beyond average temperature and total precipitation. NWS external partners and government agencies will benefit from the LCAT outputs that could be easily incorporated into their own analysis and/or delivery systems. Presently we identified five existing requirements for local climate: (1) Local impacts of climate change; (2) Local impacts of climate variability; (3) Drought studies; (4) Attribution of severe meteorological and hydrological events; and (5) Climate studies for water resources. The methodologies for the first three requirements will be included in the LCAT first phase implementation. Local rate of climate change is defined as a slope of the mean trend estimated from the ensemble of three trend techniques: (1) hinge, (2) Optimal Climate Normals (running mean for optimal time periods), (3) exponentially-weighted moving average. Root mean squared error is used to determine the best fit of trend to the observations with the least error. The studies of climate variability impacts on local extremes use composite techniques applied to various definitions of local variables: from specified percentiles to critical thresholds. Drought studies combine visual capabilities of Google maps with statistical estimates of drought severity indices. The process of development will be linked to local office interactions with users to ensure the tool will meet their needs as well as provide adequate training. A rigorous internal and tiered peer-review process will be implemented to ensure the studies are scientifically-sound that will be published and submitted to the local studies catalog (database) and eventually to external sources, such as the Climate Portal.
While discussions of global climate change tend to center on greenhouse gases and sea level rise, other factors, such as technological developments, land and energy use, economics, and population growth all play a critical role in understanding climate change. There is increasin...
75 FR 54403 - U.S. National Climate Assessment Objectives, Proposed Topics, and Next Steps
Federal Register 2010, 2011, 2012, 2013, 2014
2010-09-07
..., methods and design, tools for assessing climate change and impacts, dealing with uncertainty, sources of..., coordination with other Federal climate-related programs, design of documents and tailored communications with... methodological perspectives related to selecting model and downscaling outputs and approaches for their use in...
Simulation of Climate Change Impacts on Wheat-Fallow Cropping Systems
USDA-ARS?s Scientific Manuscript database
Agricultural system simulation models are predictive tools for assessing climate change impacts on crop production. In this study, RZWQM2 that contains the DSSAT 4.0-CERES model was evaluated for simulating climate change impacts on wheat growth. The model was calibrated and validated using data fro...
SimilarityExplorer: A visual inter-comparison tool for multifaceted climate data
J. Poco; A. Dasgupta; Y. Wei; W. Hargrove; C. Schwalm; R. Cook; E. Bertini; C. Silva
2014-01-01
Inter-comparison and similarity analysis to gauge consensus among multiple simulation models is a critical visualization problem for understanding climate change patterns. Climate models, specifically, Terrestrial Biosphere Models (TBM) represent time and space variable ecosystem processes, for example, simulations of photosynthesis and respiration, using algorithms...
Tools for adaptation and mitigation of climate change on southwestern working-lands
USDA-ARS?s Scientific Manuscript database
In February 2014, the USDA established 7 Hubs and 3 Sub Hubs across the nation to assist farmers, ranchers and foresters in adapting to the effects of climate change. Specific vulnerabilities related to projected climatic changes in the Southwest (SW) include water scarcity, the effects of elevated ...
Branching out: Agroforestry as a climate change mitigation and adaptation tool for agriculture
USDA-ARS?s Scientific Manuscript database
The United States and Canadian agricultural lands are being targeted to provide more environmental and economic services while at the same time their capacity to provide these services under potential climate change (CC) is being questioned. Predictions of future climate conditions include longer gr...
USDA-ARS?s Scientific Manuscript database
Ecosystem climate manipulation experiments (ECMEs) are a key tool for predicting the effects of climate on ecosystems. However, the strength of inferences drawn from these experiments depends on whether the manipulated conditions mimic future climate changes. While ECMEs have examined mean tempera...
While discussions of global climate change tend to center on greenhouse gases and seal level rise, other factors, such as technological developments, land and energy use, economics, and population growth all play a critical role in understanding climate change. There is increasi...
DOT National Transportation Integrated Search
2016-09-13
The Hampton Roads Climate Impact Quantification Initiative (HRCIQI) is a multi-part study sponsored by the U.S. Department of Transportation (DOT) Climate Change Center with the goals that include developing a cost tool that provides methods for volu...
Cox, Ruth; Sanchez, Javier; Revie, Crawford W
2013-01-01
Global climate change is known to result in the emergence or re-emergence of some infectious diseases. Reliable methods to identify the infectious diseases of humans and animals and that are most likely to be influenced by climate are therefore required. Since different priorities will affect the decision to address a particular pathogen threat, decision makers need a standardised method of prioritisation. Ranking methods and Multi-Criteria Decision approaches provide such a standardised method and were employed here to design two different pathogen prioritisation tools. The opinion of 64 experts was elicited to assess the importance of 40 criteria that could be used to prioritise emerging infectious diseases of humans and animals in Canada. A weight was calculated for each criterion according to the expert opinion. Attributes were defined for each criterion as a transparent and repeatable method of measurement. Two different Multi-Criteria Decision Analysis tools were tested, both of which used an additive aggregation approach. These were an Excel spreadsheet tool and a tool developed in software 'M-MACBETH'. The tools were trialed on nine 'test' pathogens. Two different methods of criteria weighting were compared, one using fixed weighting values, the other using probability distributions to account for uncertainty and variation in expert opinion. The ranking of the nine pathogens varied according to the weighting method that was used. In both tools, using both weighting methods, the diseases that tended to rank the highest were West Nile virus, Giardiasis and Chagas, while Coccidioidomycosis tended to rank the lowest. Both tools are a simple and user friendly approach to prioritising pathogens according to climate change by including explicit scoring of 40 criteria and incorporating weighting methods based on expert opinion. They provide a dynamic interactive method that can help to identify pathogens for which a full risk assessment should be pursued.
Cox, Ruth; Sanchez, Javier; Revie, Crawford W.
2013-01-01
Global climate change is known to result in the emergence or re-emergence of some infectious diseases. Reliable methods to identify the infectious diseases of humans and animals and that are most likely to be influenced by climate are therefore required. Since different priorities will affect the decision to address a particular pathogen threat, decision makers need a standardised method of prioritisation. Ranking methods and Multi-Criteria Decision approaches provide such a standardised method and were employed here to design two different pathogen prioritisation tools. The opinion of 64 experts was elicited to assess the importance of 40 criteria that could be used to prioritise emerging infectious diseases of humans and animals in Canada. A weight was calculated for each criterion according to the expert opinion. Attributes were defined for each criterion as a transparent and repeatable method of measurement. Two different Multi-Criteria Decision Analysis tools were tested, both of which used an additive aggregation approach. These were an Excel spreadsheet tool and a tool developed in software ‘M-MACBETH’. The tools were trialed on nine ‘test’ pathogens. Two different methods of criteria weighting were compared, one using fixed weighting values, the other using probability distributions to account for uncertainty and variation in expert opinion. The ranking of the nine pathogens varied according to the weighting method that was used. In both tools, using both weighting methods, the diseases that tended to rank the highest were West Nile virus, Giardiasis and Chagas, while Coccidioidomycosis tended to rank the lowest. Both tools are a simple and user friendly approach to prioritising pathogens according to climate change by including explicit scoring of 40 criteria and incorporating weighting methods based on expert opinion. They provide a dynamic interactive method that can help to identify pathogens for which a full risk assessment should be pursued. PMID:23950868
Data and Tools - Alphabetical Listing | NREL
Climate Action Planning Tool Community Solar Scenario Tool Comparative PV Levelized Cost of Energy (LCOE Design Response Toolbox WEC-Sim: Wave Energy Converter Simulator West Associates Solar Monitoring Network Design and Engineering Model
EPA Center for Corporate Climate Leadership
EPA's Center for Corporate Climate Leadership is a comprehensive resource to help organizations measure & manage GHG emissions. The Center provides technical tools, educational resources, opportunities for information sharing & highlights best practices.
Young Voices on Climate Change: The Paul F-Brandwein 2010 NSTA Lecture
NASA Astrophysics Data System (ADS)
Cherry, Lynne
2011-04-01
Lynne Cherry Brandwein Lecture March 2010 National Science Teachers Association (NSTA) Conference, Philadelphia, PA. Young Voices on Climate Change: Inspired and Empowered Youth Tackle Climate Science and Find Climate Solutions. As a child, Lynne Cherry was profoundly connected to the natural world and a special place. She watched the destruction of her world. Now, through her Young Voices on Climate Change project, she is trying to give teachers and young people the tools to prevent planetary meltdown on a greater scale. Global climate change is upon us and the need for education and action is immediate. Outreach, visual storytelling, and scientific understanding are especially necessary in light of the recent polls that show that the public is becoming more confused and less concerned about climate change. Cherry's climate book, co-authored with photojournalist Gary Braasch, and her Young Voices on Climate Change films feature climate solutions. They're about win-win—save the environment, protect human health, reduce global warming gases, demonstrate youth making a difference with practical tools, motivate engagement in climate science, take pride in increased science literacy, reach young people through their hearts as well as their minds, and save money. Although young people can help their parents, peers and communities understand climate science, they can also show them that reducing CO2 is in their economic interest, and spur them to take action. School carbon reduction initiatives are spilling over into communities yielding measurable results in both global warming gas reductions and significant monetary savings.
Climate Change What We Know and What We Need to Learn
DOE Office of Scientific and Technical Information (OSTI.GOV)
LLNL - University of California Television
2008-05-01
How is human activity changing the climate and what are the consequences? Is global warming the cause of more frequent droughts, stronger storms and less snow in the mountains? Lawrence Livermore National Laboratory Scientist Dave Bader explores what scientists know about climate change and the research tools used to study the climate. Series: Science on Saturday [10/2006] [Science] [Show ID: 11544
Barron J. Orr; Wolfgang Grunberg; Amanda B. Cockerham; Anne Y. Thwaits; Heather S. Severson; Noah M. D. Lerman; Rachel M. Miller; Michael Haseltine; Barbara J. Morehouse; Jonathan T. Overpeck; Stephen R. Yool; Thomas W. Swetnam; Gary L. Christopherson
2005-01-01
The demand for strategic planning tools that account for climate and human influences on wildfire hazard is growing. In response, the University of Arizona, through an EPA STAR Grant has undertaken interdisciplinary research to characterize the human and climate dimensions of wildfire. The resulting Fire-Climate-Society (FCS-1) prototype model developed for Sky Islands...
Climate Change What We Know and What We Need to Learn
LLNL - University of California Television
2017-12-09
How is human activity changing the climate and what are the consequences? Is global warming the cause of more frequent droughts, stronger storms and less snow in the mountains? Lawrence Livermore National Laboratory Scientist Dave Bader explores what scientists know about climate change and the research tools used to study the climate. Series: Science on Saturday [10/2006] [Science] [Show ID: 11544
The Storm Water Management Model Climate Adjustment Tool (SWMM-CAT) is a simple to use software utility that allows future climate change projections to be incorporated into the Storm Water Management Model (SWMM).
The integrated Earth system model version 1: formulation and functionality
Collins, W. D.; Craig, A. P.; Truesdale, J. E.; ...
2015-07-23
The integrated Earth system model (iESM) has been developed as a new tool for projecting the joint human/climate system. The iESM is based upon coupling an integrated assessment model (IAM) and an Earth system model (ESM) into a common modeling infrastructure. IAMs are the primary tool for describing the human–Earth system, including the sources of global greenhouse gases (GHGs) and short-lived species (SLS), land use and land cover change (LULCC), and other resource-related drivers of anthropogenic climate change. ESMs are the primary scientific tools for examining the physical, chemical, and biogeochemical impacts of human-induced changes to the climate system. Themore » iESM project integrates the economic and human-dimension modeling of an IAM and a fully coupled ESM within a single simulation system while maintaining the separability of each model if needed. Both IAM and ESM codes are developed and used by large communities and have been extensively applied in recent national and international climate assessments. By introducing heretofore-omitted feedbacks between natural and societal drivers, we can improve scientific understanding of the human–Earth system dynamics. Potential applications include studies of the interactions and feedbacks leading to the timing, scale, and geographic distribution of emissions trajectories and other human influences, corresponding climate effects, and the subsequent impacts of a changing climate on human and natural systems. This paper describes the formulation, requirements, implementation, testing, and resulting functionality of the first version of the iESM released to the global climate community.« less
Navigating the high seas of Federal Programs to ensure usable science delivery
NASA Astrophysics Data System (ADS)
Bachelet, D. M.; Gough, M.; Baker, B.; Sheehan, T.; Mutch, T.; Brown, M.
2016-12-01
Conservation Biology Institute (CBI) has been developing web applications to serve credible and usable information that allows land stewards, as well as the general public, to better understand the challenges posed by on-going environmental change. Working with 18 Landscape Conservation Cooperatives (LCCs), CBI has developed Conservation Atlases that allow users to visualize regional spatial data. Some include specific tools such as the Conservation Blueprint in the South Atlantic LCC conservation atlas which is a living spatial plan that identifies priority areas for shared conservation action based on ecosystem indicator condition and connectivity. More than 400 people from over 100 different organizations have actively participated in its development so far. CBI worked closely with 4 LCCs to design a Landscape Climate Dashboard (http://bit.ly/2atu8Df) that provides CMIP5 climate projections averaged over federally and tribally protected lands in the western US. With support from BLM and Great Basin LCC, a Sagebrush Climate Console provides managers short-term NOAA forecasts, CMIP5 climate projections, regional intactness and site sensitivity over sagebrush extent and grouse range. The USDA Pacific Northwest Climate Hub and the US Forest Service are currently funding a collaborative effort between CBI programmers, USFS and Oregon State University forest geneticists to develop a seedlot source tool for the conterminous US and Alaska. This tool has inspired Great Basin sagebrush restoration scientists who have collected information on seed provenance and will hopefully soon collaborate to help develop the first seed source tool for sagebrush managers. Furthermore, with support from USDA Northwest Climate Hub, CBI's Data Basin site (http://bit.ly/2aLRlhZ) is providing downscaled CMIP5 climate projections and impacts from a Climate Science Center and NOAA Regional Integrated Science Assessment funded project that was the result of a collaborative effort between Oregon State University, University of Idaho, and the University of Washington. With much experience with local and regional managers and federal programs we will show examples of exciting successes and report on some challenges in coordinating exchanges and extracting valuable feedback to improve the usability of web applications.
Alkahest NuclearBLAST : a user-friendly BLAST management and analysis system
Diener, Stephen E; Houfek, Thomas D; Kalat, Sam E; Windham, DE; Burke, Mark; Opperman, Charles; Dean, Ralph A
2005-01-01
Background - Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to individual investigators. However, there are few options available which provide a free and user-friendly solution to the BLAST result storage and data mining needs of biologists. Results - Here we describe NuclearBLAST, a batch BLAST analysis, storage and management system designed for the biologist. It is a wrapper for NCBI BLAST which provides a user-friendly web interface which includes a request wizard and the ability to view and mine the results. All BLAST results are stored in a MySQL database which allows for more advanced data-mining through supplied command-line utilities or direct database access. NuclearBLAST can be installed on a single machine or clustered amongst a number of machines to improve analysis throughput. NuclearBLAST provides a platform which eases data-mining of multiple BLAST results. With the supplied scripts, the program can export data into a spreadsheet-friendly format, automatically assign Gene Ontology terms to sequences and provide bi-directional best hits between two datasets. Users with SQL experience can use the database to ask even more complex questions and extract any subset of data they require. Conclusion - This tool provides a user-friendly interface for requesting, viewing and mining of BLAST results which makes the management and data-mining of large sets of BLAST analyses tractable to biologists. PMID:15958161
Assessment of Human Health Vulnerability to Climate Variability and Change in Cuba
Bultó, Paulo Lázaro Ortíz; Rodríguez, Antonio Pérez; Valencia, Alina Rivero; Vega, Nicolás León; Gonzalez, Manuel Díaz; Carrera, Alina Pérez
2006-01-01
In this study we assessed the potential effects of climate variability and change on population health in Cuba. We describe the climate of Cuba as well as the patterns of climate-sensitive diseases of primary concern, particularly dengue fever. Analyses of the associations between climatic anomalies and disease patterns highlight current vulnerability to climate variability. We describe current adaptations, including the application of climate predictions to prevent disease outbreaks. Finally, we present the potential economic costs associated with future impacts due to climate change. The tools used in this study can be useful in the development of appropriate and effective adaptation options to address the increased climate variability associated with climate change. PMID:17185289
NASA Astrophysics Data System (ADS)
Barbiellini, G.; Bartalucci, S.; Bellotti, R.; Bergström, D.; Bidoli, V.; Boezio, M.; Bonvicini, V.; Bravar, U.; Cafagna, F.; Carlson, P.; Casolino, M.; Ciacio, F.; Circella, M.; De Marzo, C.; De Pascale, M. P.; Finetti, N.; Francke, T.; Grinstein, S.; Hof, M.; Khalchukov, F.; Kremer, J.; Menn, W.; Mitchell, J. W.; Morselli, A.; Ormes, J. F.; Papini, P.; Piccardi, S.; Picozza, P.; Ricci, M.; Simon, M.; Schiavon, P.; Sparvoli, R.; Spillantini, P.; Stochaj, S. J.; Streitmatter, R. E.; Stephens, S. A.; Suffert, M.; Vacchi, A.; Weber, N.; Zampa, N.
2001-04-01
CAPRICE98 is a superconducting magnetic spectrometer, equipped with a gas RICH and a silicon calorimeter, launched from Ft. Sumner (USA), on the 28th of May 1998, by the WiZard collaboration. For the first time a gas RICH detector flew together with a silicon electromagnetic calorimeter, allowing mass resolved antiprotons, with E>18 GeV, to be detected. The detector configuration was completed by a time of flight for particle identification, and a set of three drift chambers for rigidity measurement. The science objectives are the study of antimatter in cosmic rays and the cosmic ray composition in the atmosphere with special focus on muons.
NASA Astrophysics Data System (ADS)
Morandell, Martin M.; Hochgatterer, Andreas; Wöckl, Bernhard; Dittenberger, Sandra; Fagel, Sascha
Avatars are a common field of research for interfacing smart homes, especially for elderly people. The present study focuses on the usage of photo-realistic faces with different levels of movements (video, avatar and photo) as components of the graphical user interface (GUI) for Ambient Assisted Living (AAL) environments. Within a usability test, using the "Wizard of Oz" technique, these presentation modes were compared with a text and a voice only interface with users of the target groups: elderly people with (nMCI=12) and without (nMCI=12) Mild Cognitive Impairment (MCI). Results show that faces on the GUI were liked by both, elderly with and without cognitive restrictions. However, users' performance on executing tasks did not differ much between the different presentation modes.
Code of Federal Regulations, 2011 CFR
2011-01-01
... size and type will vary only with climate, the number of stories, and the choice of simulation tool... practice for some climates or buildings, but represent a reasonable worst case of energy cost resulting...
Code of Federal Regulations, 2012 CFR
2012-01-01
... size and type will vary only with climate, the number of stories, and the choice of simulation tool... practice for some climates or buildings, but represent a reasonable worst case of energy cost resulting...
Code of Federal Regulations, 2013 CFR
2013-01-01
... size and type will vary only with climate, the number of stories, and the choice of simulation tool... practice for some climates or buildings, but represent a reasonable worst case of energy cost resulting...
Code of Federal Regulations, 2014 CFR
2014-01-01
... size and type will vary only with climate, the number of stories, and the choice of simulation tool... practice for some climates or buildings, but represent a reasonable worst case of energy cost resulting...
Code of Federal Regulations, 2010 CFR
2010-01-01
... size and type will vary only with climate, the number of stories, and the choice of simulation tool... practice for some climates or buildings, but represent a reasonable worst case of energy cost resulting...
Appendix 2. Guide for Running AgMIP Climate Scenario Generation Tools with R in Windows, Version 2.3
NASA Technical Reports Server (NTRS)
Hudson, Nicholas; Ruane, Alexander Clark
2013-01-01
This Guide explains how to create climate series and climate change scenarios by using the AgMip Climate team's methodology as outlined in the AgMIP Guide for Regional Assessment: Handbook of Methods and Procedures. It details how to: install R and the required packages to run the AgMIP Climate Scenario Generation scripts, and create climate scenarios from CMIP5 GCMs using a 30-year baseline daily weather dataset. The Guide also outlines a workflow that can be modified for application to your own climate data.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wilbanks, Thomas J.; Fernandez, Steven J.; Allen, Melissa R.
The President s Climate Change Action Plan calls for the development of better science, data, and tools for climate preparedness. Many of the current questions about preparedness for extreme weather events in coming decades are, however, difficult to answer with assets that have been developed by climate science to answer longer-term questions about climate change. Capacities for projecting exposures to climate-related extreme events, along with their implications for interconnected infrastructures, are now emerging.
Wilbanks, Thomas J.; Fernandez, Steven J.; Allen, Melissa R.
2015-06-23
The President s Climate Change Action Plan calls for the development of better science, data, and tools for climate preparedness. Many of the current questions about preparedness for extreme weather events in coming decades are, however, difficult to answer with assets that have been developed by climate science to answer longer-term questions about climate change. Capacities for projecting exposures to climate-related extreme events, along with their implications for interconnected infrastructures, are now emerging.
Development of a multilevel health and safety climate survey tool within a mining setting.
Parker, Anthony W; Tones, Megan J; Ritchie, Gabrielle E
2017-09-01
This study aimed to design, implement and evaluate the reliability and validity of a multifactorial and multilevel health and safety climate survey (HSCS) tool with utility in the Australian mining setting. An 84-item questionnaire was developed and pilot tested on a sample of 302 Australian miners across two open cut sites. A 67-item, 10 factor solution was obtained via exploratory factor analysis (EFA) representing prioritization and attitudes to health and safety across multiple domains and organizational levels. Each factor demonstrated a high level of internal reliability, and a series of ANOVAs determined a high level of consistency in responses across the workforce, and generally irrespective of age, experience or job category. Participants tended to hold favorable views of occupational health and safety (OH&S) climate at the management, supervisor, workgroup and individual level. The survey tool demonstrated reliability and validity for use within an open cut Australian mining setting and supports a multilevel, industry specific approach to OH&S climate. Findings suggested a need for mining companies to maintain high OH&S standards to minimize risks to employee health and safety. Future research is required to determine the ability of this measure to predict OH&S outcomes and its utility within other mine settings. As this tool integrates health and safety, it may have benefits for assessment, monitoring and evaluation in the industry, and improving the understanding of how health and safety climate interact at multiple levels to influence OH&S outcomes. Copyright © 2017 National Safety Council and Elsevier Ltd. All rights reserved.
Forest adaptation resources: Climate change tools and approaches for land managers
Chris Swanston; Maria, eds. Janowiak
2012-01-01
The forests of northern Wisconsin, a defining feature of the region's landscape, are expected to undergo numerous changes in response to the changing climate. This document provides a collection of resources designed to help forest managers incorporate climate change considerations into management and devise adaptation tactics. It was developed in northern...
Long-term forest management and climate effects on streamflow
Shelby G. Laird; C.R. Ford; S.H. Laseter; J.M. Vose
2011-01-01
Long-term watershed studies are a powerful tool for examining interactions among management activities, streamflow, and climatic variability. Understanding these interactions is critical for exploring the potential of forest management to adapt to or mitigate against the effects of climate change. The Coweeta Hydrologic Laboratory, located in North Carolina, USA, is a...
Integrating climate change considerations into forest management tools and training
Linda M. Nagel; Christopher W. Swanston; Maria K. Janowiak
2010-01-01
Silviculturists are currently facing the challenge of developing management strategies that meet broad ecological and social considerations in spite of a high degree of uncertainty in future climatic conditions. Forest managers need state-of-the-art knowledge about climate change and potential impacts to facilitate development of silvicultural objectives and...
USDA-ARS?s Scientific Manuscript database
This report is intended to provide perspective, information, and tools to support agricultural producers in the Midwest and Northeast regions of the U.S. in responding to climate variability and change. Climate change adaptation can be broadly defined to include all adjustments, both planned and unp...
USDA-ARS?s Scientific Manuscript database
Resolution of climate model outputs are too coarse to be used as direct inputs to impact models for assessing climate change impacts on agricultural production, water resources, and eco-system services at local or site-specific scales. Statistical downscaling approaches are usually used to bridge th...
Climate Literacy and Cyberlearning: Emerging Platforms and Programs
NASA Astrophysics Data System (ADS)
McCaffrey, M. S.; Wise, S. B.; Buhr, S. M.
2009-12-01
With the release of the Essential Principles of Climate Science Literacy: A Guide for Individuals and Communities in the Spring of 2009, an important step toward an shared educational and communication framework about climate science was achieved. Designed as a living document, reviewed and endorsed by the thirteen federal agencies in the U.S. Climate Change Science Program (now U.S. Global Change Research Program), the Essential Principles of Climate Literacy complement other Earth system literacy efforts. A variety of emerging efforts have begun to build on the framework using a variety of cyberlearning tools, including an online Climate Literacy course developed by Education and Outreach group at CIRES, the Cooperative Institute for Research in Environmental Sciences, and the Independent Learning program of the Continuing Education Division at the University of Colorado at Boulder. The online course, piloted during the Summer of 2009 with formal classroom teachers and informal science educators, made use of the online Climate Literacy Handbook, which was developed by CIRES Education and Outreach and the Encyclopedia of Earth, which is supported by the National Council for Science and the Environment and hosted by Boston University. This paper will explore challenges and opportunities in the use of cyberlearning tools to support climate literacy efforts, highlight the development of the online course and handbook, and note related emerging cyberlearning platforms and programs for climate literacy, including related efforts by the Climate Literacy Network, the NASA Global Climate Change Education programs, the National STEM Education Distributed Learning (NSDL) and AAAS Project 2061.
Climate Model Diagnostic Analyzer
NASA Technical Reports Server (NTRS)
Lee, Seungwon; Pan, Lei; Zhai, Chengxing; Tang, Benyang; Kubar, Terry; Zhang, Zia; Wang, Wei
2015-01-01
The comprehensive and innovative evaluation of climate models with newly available global observations is critically needed for the improvement of climate model current-state representation and future-state predictability. A climate model diagnostic evaluation process requires physics-based multi-variable analyses that typically involve large-volume and heterogeneous datasets, making them both computation- and data-intensive. With an exploratory nature of climate data analyses and an explosive growth of datasets and service tools, scientists are struggling to keep track of their datasets, tools, and execution/study history, let alone sharing them with others. In response, we have developed a cloud-enabled, provenance-supported, web-service system called Climate Model Diagnostic Analyzer (CMDA). CMDA enables the physics-based, multivariable model performance evaluations and diagnoses through the comprehensive and synergistic use of multiple observational data, reanalysis data, and model outputs. At the same time, CMDA provides a crowd-sourcing space where scientists can organize their work efficiently and share their work with others. CMDA is empowered by many current state-of-the-art software packages in web service, provenance, and semantic search.
Jessica E. Halofsky; David L Peterson; Michael J. Furniss; Linda A. Joyce; Constance I. Millar; Ronald P. Neilson
2011-01-01
Concrete ways to adapt to climate change are needed to help land-management agencies take steps to incorporate climate change into management and take advantage of opportunities to balance the negative effects of climate change. Because the development of adaptation tools and strategies is at an early stage, it is important that ideas and strategies are disseminated...
Toni Lyn Morelli; Susan C. Carr
2011-01-01
We conducted a literature review of the effects of climate on the distribution and growth of quaking aspen (Populus tremuloides Michx.) in the Western United States. Based on our review, we summarize models of historical climate determinants of contemporary aspen distribution. Most quantitative climate-based models linked aspen presence and growth...
Data Visualization and Analysis for Climate Studies using NASA Giovanni Online System
NASA Technical Reports Server (NTRS)
Rui, Hualan; Leptoukh, Gregory; Lloyd, Steven
2008-01-01
With many global earth observation systems and missions focused on climate systems and the associated large volumes of observational data available for exploring and explaining how climate is changing and why, there is an urgent need for climate services. Giovanni, the NASA GES DISC Interactive Online Visualization ANd ANalysis Infrastructure, is a simple to use yet powerful tool for analysing these data for research on global warming and climate change, as well as for applications to weather. air quality, agriculture, and water resources,
NASA Astrophysics Data System (ADS)
Tryby, M.; Fries, J. S.; Baranowski, C.
2014-12-01
Extreme precipitation events can cause significant impacts to drinking water and wastewater utilities, including facility damage, water quality impacts, service interruptions and potential risks to human health and the environment due to localized flooding and combined sewer overflows (CSOs). These impacts will become more pronounced with the projected increases in frequency and intensity of extreme precipitation events due to climate change. To model the impacts of extreme precipitation events, wastewater utilities often develop Intensity, Duration, and Frequency (IDF) rainfall curves and "design storms" for use in the U.S. Environmental Protection Agency's (EPA) Storm Water Management Model (SWMM). Wastewater utilities use SWMM for planning, analysis, and facility design related to stormwater runoff, combined and sanitary sewers, and other drainage systems in urban and non-urban areas. SWMM tracks (1) the quantity and quality of runoff made within each sub-catchment; and (2) the flow rate, flow depth, and quality of water in each pipe and channel during a simulation period made up of multiple time steps. In its current format, EPA SWMM does not consider climate change projection data. Climate change may affect the relationship between intensity, duration, and frequency described by past rainfall events. Therefore, EPA is integrating climate projection data available in the Climate Resilience Evaluation and Awareness Tool (CREAT) into SWMM. CREAT is a climate risk assessment tool for utilities that provides downscaled climate change projection data for changes in the amount of rainfall in a 24-hour period for various extreme precipitation events (e.g., from 5-year to 100-year storm events). Incorporating climate change projections into SWMM will provide wastewater utilities with more comprehensive data they can use in planning for future storm events, thereby reducing the impacts to the utility and customers served from flooding and stormwater issues.
Online and classroom tools for Climate Change Education
NASA Astrophysics Data System (ADS)
Samenow, J. P.; Scott, K.
2004-12-01
EPA's Office of Atmospheric Programs has developed unique tools for educating students about the science of global warming and on actions that help address the issue. These tools have been highly successful and used in hundreds of classrooms across the country. EPA's Global Warming Kids' Site features interactive web-based animations for educating children, grades 4-8, about climate change. The animations illustrate how human activities likely influence the climate system through processes such as the greenhouse effect and carbon and water cycles. The pages also contain interactive quizzes. See: http://www.epa.gov/globalwarming/kids/animations.html For advanced high school and college students, EPA is nearing completion on the development of interactive visualizations of the emissions and climate scenarios featured in the Intergovernmental Panel on Climate Change's Third Assessment Report. These visualizations allow students to choose a scenario and see how emissions, the climate and the earth's surface change over time. The Global Warming Wheelcard Classroom Activity Kit is designed to help teachers of middle school students introduce the concept of human induced global warming in the context of how rates of energy usage can influence the increase or eventual slowing of climate change. The Climate Change, Wildlife, and Wildlands Toolkit for Teachers and Interpreters was produced in a partnership among three agencies - EPA, US Fish and Wildlife Service and the National Park Service (NPS). Both classroom teachers and outdoor interpreters find it useful in conveying information about climate change science and impacts to their students and visitors. The development of the toolkit led to a larger program between EPA and NPS that assists parks in inventorying their emissions, creating action plans, and talking to the public about what they are doing - a "lead by example" type program that the two agencies hope to replicate in other venues in the coming year.
Klimanavigator - Climate Navigator - Gateway to climate knowledge in Germany
NASA Astrophysics Data System (ADS)
Schuck-Zöller, Susanne
2013-04-01
Objective More than 50 German research institutions and networks are represented on www.klimanavigator.de, a common platform, where information about their work, and the latest findings from climate research and adaptation can be found. Thus Klimanavigator as a gateway to climate knowledge provides a information portal for those who have to respond to climate change. The internet portal gives an overview of the present state of research and is estimated as a decision support tool for appropriate mitigation and adaptation measures. Target Groups The portal collects the German climate research institutions to publish their scientific knowledge in a non-scientific language. Economists, policymakers, administration and the media are bound to find the names of scientific experts and institutions by an elaborated research tool. Methodology The chapter "Dossiers" is edited by the Klimanavigator-Coordinator CSC. It gathers information to a special issue looked upon from various points of view. Publications of outstanding German scientists are presented side by side, current knowledge is being synthesized, scientifically reviewed and disseminated. The latest news from climate and adaptation research is presented in an own chapter, dedicated to the press releases of the portal members. Via RSS-feed the press releases are collected from the different partner institutions. Thirdly, portraits of the member institutions, that are individually edited by themselves, draw a map of science in Germany and help to find appropriate cooperation partners. For the future further development is being planned. Common Management Klimanavigator is being managed by the partners in common. The main decisions concerning the concept and shape of the portal are made by the partners' assembly. An elected editorial committee decides about the content between the assemblies. The Climate Service Center (part of the Helmholtz-Zentrum Geesthacht) concentrates on facilitating the cooperation, and delivering the technical support. Results/Outcome/Products Map and navigator of climate and adaptation science in Germany Representation of science in Germany and Germany as a country of science Synthesis of knowledge Network of science institutions and projects Decision support tool
NASA Astrophysics Data System (ADS)
Williams, D. N.
2015-12-01
Progress in understanding and predicting climate change requires advanced tools to securely store, manage, access, process, analyze, and visualize enormous and distributed data sets. Only then can climate researchers understand the effects of climate change across all scales and use this information to inform policy decisions. With the advent of major international climate modeling intercomparisons, a need emerged within the climate-change research community to develop efficient, community-based tools to obtain relevant meteorological and other observational data, develop custom computational models, and export analysis tools for climate-change simulations. While many nascent efforts to fill these gaps appeared, they were not integrated and therefore did not benefit from collaborative development. Sharing huge data sets was difficult, and the lack of data standards prevented the merger of output data from different modeling groups. Thus began one of the largest-ever collaborative data efforts in climate science, resulting in the Earth System Grid Federation (ESGF), which is now used to disseminate model, observational, and reanalysis data for research assessed by the Intergovernmental Panel on Climate Change (IPCC). Today, ESGF is an open-source petabyte-level data storage and dissemination operational code-base that manages secure resources essential for climate change study. It is designed to remain robust even as data volumes grow exponentially. The internationally distributed, peer-to-peer ESGF "data cloud" archive represents the culmination of an effort that began in the late 1990s. ESGF portals are gateways to scientific data collections hosted at sites around the globe that allow the user to register and potentially access the entire ESGF network of data and services. The growing international interest in ESGF development efforts has attracted many others who want to make their data more widely available and easy to use. For example, the World Climate Research Program, which provides governance for CMIP, has now endorsed the ESGF software foundation to be used for ~70 other model intercomparison projects (MIPs), such as obs4MIPs, TAMIP, CFMIP, and GeoMIP. At present, more than 40 projects disseminate their data via ESGF.
Project Zoom IN, Citizen Perspectives on Climate and Water Resources
NASA Astrophysics Data System (ADS)
Glaser, J. P.
2012-12-01
Perspective on climate and water resources can come from the top, scientists sharing invaluable data and findings about how climate dynamics function or quantifications of systems in flux. However, citizens are endowed with an equally as powerful tool for insight: ground zero experience. Project Zoom In is a nascent project undertaken by Global Media Forge to empower youth, educators and scientists with tools to reach the media with locale-specific imagery and perspective of climate dynamics and evidence of anecdotal resource management of liquid gold: fresh water. Zoom In is taking root in Colorado but is designed for national/international scaling. This effort has three limbs: (1) student, scientist and educator workshops teaching invaluable video production skills (2) engaging Colorado school systems to stimulate submission of clips to full video productions to our database, and (3) embedding the findings on a taxonomic GIS interface on-line. The website will be invaluable in classrooms and link network media to individuals with firsthand viewpoints on change.; Climate and Water Resources
Interactive Ice Sheet Flowline Model for High School and College Students
NASA Astrophysics Data System (ADS)
Stearns, L. A.; Rezvanbehbahani, S.; Shankar, S.
2017-12-01
Teaching about climate and climate change is conceptually challenging. While teaching tools and lesson plans are rapidly evolving to help teachers and students improve their understanding of climate processes, there are very few tools targeting ice sheet and glacier dynamics. We have built an interactive ice sheet model that allows students to explore how Antarctic glaciers respond to different climate perturbations. Interactive models offer advantages that are hard to obtain in traditional classroom settings; users can systematically investigate hypothetical situations, explore the effects of modifying systems, and repeatedly observe how systems interrelate. As a result, this project provides a much-needed bridge between the data and models used by the scientific community and students in high school and college. We target our instructional and assessment activities to three high school and college students with the overall aim of increasing understanding of ice sheet dynamics and the different ways that ice sheets are impacted by climate change, while also improving their fundamental math skills.
Evolving the US Climate Resilience Toolkit to Support a Climate-Smart Nation
NASA Astrophysics Data System (ADS)
Tilmes, C.; Niepold, F., III; Fox, J. F.; Herring, D.; Dahlman, L. E.; Hall, N.; Gardiner, N.
2015-12-01
Communities, businesses, resource managers, and decision-makers at all levels of government need information to understand and ameliorate climate-related risks. Likewise, climate information can expose latent opportunities. Moving from climate science to social and economic decisions raises complex questions about how to communicate the causes and impacts of climate variability and change; how to characterize and quantify vulnerabilities, risks, and opportunities faced by communities and businesses; and how to make and implement "win-win" adaptation plans at local, regional, and national scales. A broad coalition of federal agencies launched the U.S. Climate Resilience Toolkit (toolkit.climate.gov) in November 2014 to help our nation build resilience to climate-related extreme events. The site's primary audience is planners and decision makers in business, resource management, and government (at all levels) who seek science-based climate information and tools to help them in their near- and long-term planning. The Executive Office of the President assembled a task force of dozens of subject experts from across the 13 agencies of the U.S. Global Change Research Program to guide the site's development. The site's ongoing evolution is driven by feedback from the target audience. For example, based on feedback, climate projections will soon play a more prominent role in the site's "Climate Explorer" tool and case studies. The site's five-step adaptation planning process is being improved to better facilitate people getting started and to provide clear benchmarks for evaluating progress along the way. In this session, we will share lessons learned from a series of user engagements around the nation and evidence that the Toolkit couples climate information with actionable decision-making processes in ways that are helping Americans build resilience to climate-related stressors.
An Object-Based Approach to Evaluation of Climate Variability Projections and Predictions
NASA Astrophysics Data System (ADS)
Ammann, C. M.; Brown, B.; Kalb, C. P.; Bullock, R.
2017-12-01
Evaluations of the performance of earth system model predictions and projections are of critical importance to enhance usefulness of these products. Such evaluations need to address specific concerns depending on the system and decisions of interest; hence, evaluation tools must be tailored to inform about specific issues. Traditional approaches that summarize grid-based comparisons of analyses and models, or between current and future climate, often do not reveal important information about the models' performance (e.g., spatial or temporal displacements; the reason behind a poor score) and are unable to accommodate these specific information needs. For example, summary statistics such as the correlation coefficient or the mean-squared error provide minimal information to developers, users, and decision makers regarding what is "right" and "wrong" with a model. New spatial and temporal-spatial object-based tools from the field of weather forecast verification (where comparisons typically focus on much finer temporal and spatial scales) have been adapted to more completely answer some of the important earth system model evaluation questions. In particular, the Method for Object-based Diagnostic Evaluation (MODE) tool and its temporal (three-dimensional) extension (MODE-TD) have been adapted for these evaluations. More specifically, these tools can be used to address spatial and temporal displacements in projections of El Nino-related precipitation and/or temperature anomalies, ITCZ-associated precipitation areas, atmospheric rivers, seasonal sea-ice extent, and other features of interest. Examples of several applications of these tools in a climate context will be presented, using output of the CESM large ensemble. In general, these tools provide diagnostic information about model performance - accounting for spatial, temporal, and intensity differences - that cannot be achieved using traditional (scalar) model comparison approaches. Thus, they can provide more meaningful information that can be used in decision-making and planning. Future extensions and applications of these tools in a climate context will be considered.
Visualizing projected Climate Changes - the CMIP5 Multi-Model Ensemble
NASA Astrophysics Data System (ADS)
Böttinger, Michael; Eyring, Veronika; Lauer, Axel; Meier-Fleischer, Karin
2017-04-01
Large ensembles add an additional dimension to climate model simulations. Internal variability of the climate system can be assessed for example by multiple climate model simulations with small variations in the initial conditions or by analyzing the spread in large ensembles made by multiple climate models under common protocols. This spread is often used as a measure of uncertainty in climate projections. In the context of the fifth phase of the WCRP's Coupled Model Intercomparison Project (CMIP5), more than 40 different coupled climate models were employed to carry out a coordinated set of experiments. Time series of the development of integral quantities such as the global mean temperature change for all models visualize the spread in the multi-model ensemble. A similar approach can be applied to 2D-visualizations of projected climate changes such as latitude-longitude maps showing the multi-model mean of the ensemble by adding a graphical representation of the uncertainty information. This has been demonstrated for example with static figures in chapter 12 of the last IPCC report (AR5) using different so-called stippling and hatching techniques. In this work, we focus on animated visualizations of multi-model ensemble climate projections carried out within CMIP5 as a way of communicating climate change results to the scientific community as well as to the public. We take a closer look at measures of robustness or uncertainty used in recent publications suitable for animated visualizations. Specifically, we use the ESMValTool [1] to process and prepare the CMIP5 multi-model data in combination with standard visualization tools such as NCL and the commercial 3D visualization software Avizo to create the animations. We compare different visualization techniques such as height fields or shading with transparency for creating animated visualization of ensemble mean changes in temperature and precipitation including corresponding robustness measures. [1] Eyring, V., Righi, M., Lauer, A., Evaldsson, M., Wenzel, S., Jones, C., Anav, A., Andrews, O., Cionni, I., Davin, E. L., Deser, C., Ehbrecht, C., Friedlingstein, P., Gleckler, P., Gottschaldt, K.-D., Hagemann, S., Juckes, M., Kindermann, S., Krasting, J., Kunert, D., Levine, R., Loew, A., Mäkelä, J., Martin, G., Mason, E., Phillips, A. S., Read, S., Rio, C., Roehrig, R., Senftleben, D., Sterl, A., van Ulft, L. H., Walton, J., Wang, S., and Williams, K. D.: ESMValTool (v1.0) - a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP, Geosci. Model Dev., 9, 1747-1802, doi:10.5194/gmd-9-1747-2016, 2016.
Towards optimized methods to study viral impacts on soil microbial carbon cycling
NASA Astrophysics Data System (ADS)
Trubl, G. G.; Roux, S.; Jang, H. B.; Solonenko, N.; Sullivan, M. B.; Rich, V. I.
2016-12-01
Permafrost contains 50% of global soil carbon and is rapidly thawing. While the fate of this carbon is currently unknown, it will undoubtedly be shaped by microbes and their associated viruses, which modulate host activities via mortality and metabolic control. However, little is known about soil viruses generally and their impact on terrestrial biogeochemistry; this is partially due to the presence of inhibitory substances (e.g. humic acids) in soils that interfere with sample processing and sequence-based metagenomics surveys. To address this problem, we examined viral populations in three different peat soils along a permafrost thaw gradient. These samples yielded low viral DNA recoveries, and shallow metagenomic sequencing, but still resulted in the recovery of 40 viral genome fragments. Genome- and network-based classification suggested that these new references represented 11 viral clusters, and ecological patterns (based upon non-redundant fragment recruitment) showed that viral populations were distinct in each habitat. Although only 31% of the genes could be functionally classified, pairwise genome comparisons classified 63% of the viruses taxonomically. Additionally, comparison of the 40 viral genome fragments to 53 previously recovered fragments from the same site showed no overlap, suggesting only a small portion of the resident viral community has been sampled. A follow-up experiment was performed to remove more humics during extraction and thereby obtain better viral metagenomes. Three DNA extraction protocols were tested (CTAB, PowerSoil, and Wizard columns) and the DNA was further purified with an AMPure clean-up. The PowerSoil kit maximized DNA yield (3x CTAB and 6x Wizard), and yielded the purest DNA (based on NanoDrop 260:230 ratio). Given the important roles of viruses in biogeochemical cycles in better-studied systems, further research and humic-removal optimization on these thawing permafrost-associated viral communities is needed to clarify their involvement in carbon cycle feedbacks.
NASA Astrophysics Data System (ADS)
Mecray, E. L.; Dissen, J.
2016-12-01
Federal agencies across multiple sectors from transportation to health, emergency management and agriculture, are now requiring their key stakeholders to identify and plan for climate-related impacts. Responding to the drumbeat for climate services at the regional and local scale, the National Oceanic and Atmospheric Administration (NOAA) formed its Regional Climate Services (RCS) program to include Regional Climate Services Directors (RCSD), Regional Climate Centers, and state climatologists in a partnership. Since 2010, the RCS program has engaged customers across the country and amongst many of the nation's key economic sectors to compile information requirements, deliver climate-related products and services, and build partnerships among federal agencies and their regional climate entities. The talk will include a sketch from the Eastern Region that may shed light on the interaction of the multiple entities working at the regional scale. Additionally, we will show examples of our interagency work with the Department of Interior, the Department of Agriculture, and others in NOAA to deliver usable and trusted climate information and resources. These include webinars, print material, and face-to-face customer engagements to gather and respond to information requirements. NOAA/National Centers for Environmental Information's RCSDs work on-the-ground to learn from customers about their information needs and their use of existing tools and resources. As regional leads, the RCSDs work within NOAA and with our regional partners to ensure the customer receives a broad picture of the tools and information from across the nation.
A study of the impacts of climate change scenarios on the plant hardiness zones of Albania
USDA-ARS?s Scientific Manuscript database
Maps of plant hardiness zones are useful tools for determining the extreme limits for the survival of plants. Exploration of projected climate change effects on hardiness zones can help identify areas most affected by climate change. Such studies are important in areas with high risks related to cli...
Andrew L. Rypel
2009-01-01
The role of climate variability in the ecology of freshwater fishes is of increasing interest. However, there are relatively few tools available for examining how freshwater fish populations respond to climate variations. Here, I apply tree-ring techniques to incremental growth patterns in largemouth bass (Micropterus salmoides Lacepe`de) otoliths to explore...
ERIC Educational Resources Information Center
Whitefield, Elizabeth; Schmidt, David; Witt-Swanson, Lindsay; Smith, David; Pronto, Jennifer; Knox, Pam; Powers, Crystal
2016-01-01
There is a need to create competency among Extension professionals on the topic of climate change adaptation and mitigation in animal agriculture. The Animal Agriculture in a Changing Climate online course provides an easily accessible, user-friendly, free, and interactive experience for learning science-based information on a national and…
USDA-ARS?s Scientific Manuscript database
Potential impacts of climate change on hydrologic components of Goodwater Creek Experimental Watershed were assessed using climate datasets from the Coupled Model Intercomparison Project Phase 5 and Soil and Water Assessment Tool (SWAT). Historical and future ensembles of downscaled precipitation an...
Relation between Classroom Climate and Achievement in Physical Science of Secondary School Pupils
ERIC Educational Resources Information Center
R., Smitha; Sajan, K. S.
2010-01-01
This study estimates the extent of relationship between "Achievement in Physical Science" and "Classroom Climate" for the total sample and Sub sample based on gender. The tools used for collecting the data are scale of classroom climate and achievement test in physical science. The study reveals that boys show indifferent or…
Toward an Ethical Framework for Climate Services
NASA Astrophysics Data System (ADS)
Wilby, R.; Adams, P.; Eitland, E.; Hewitson, B.; Shumake, J.; Vaughan, C.; Zebiak, S. E.
2015-12-01
Climate services offer information and tools to help stakeholders anticipate and/or manage risks posed by climate change. However, climate services lack a cohesive ethical framework to govern their development and application. This paper describes a prototype, open-ended process to form a set of ethical principles to ensure that climate services are effectively deployed to manage climate risks, realize opportunities, and advance human security.We begin by acknowledging the multiplicity of competing interests and motivations across individuals and institutions. Growing awareness of potential climate impacts has raised interest and investments in climate services and led to the entrance of new providers. User demand for climate services is also rising, as are calls for new types of services. Meanwhile, there is growing pressure from funders to operationalize climate research.Our proposed ethical framework applies reference points founded on diverse experiences in western and developing countries, fundamental and applied climate research, different sectors, gender, and professional practice (academia, private sector, government). We assert that climate service providers should be accountable for both their practices and products by upholding values of integrity, transparency, humility, and collaboration.Principles of practice include: communicating all value judgements; eschewing climate change as a singular threat; engaging in the co-exploration of knowledge; establishing mechanisms for monitoring/evaluating procedures and products; declaring any conflicts of interest. Examples of principles of products include: clear and defensible provenance of information; descriptions of the extent and character of uncertainties using terms that are meaningful to intended users; tools and information that are tailored to the context of the user; and thorough documentation of methods and meta-data.We invite the community to test and refine these points.
Is this what you need? Direct feedback help climate change information exchange
NASA Astrophysics Data System (ADS)
Bachelet, D. M.; Brown, M.; Gough, M.; Basin, D.
2015-12-01
The combination of projected climate change and land use adds uncertainty to the long-term effectiveness of current management strategies. Managers need reliable information to adjust their strategies as population density increases. However they are currently overwhelmed by the diversity of available information and the multiplicity of sources. CBI's goal is to centralize and package effectively the usable information for land managers and for the general public in order to increase awareness and promote preparation for the challenges ahead. We are designing conservation planning atlases in Data Basin for a number of landscape conservation cooperatives to address this need. We are adding some user-friendly tools to specifically serve the available climate projections and land use data in a meaningful way. By working closely with a group of managers, our goal is to understand how consideration of these projections figures into the decision-making process and refine the ways we can deliver relevant metrics. We have been holding interviews to gather information and critical feedback on existing climate-related web pages and tools, providing us with benchmarks for improvement. As it turned out, the student-manager dialogue added a component of climate change education and awareness of available tools to the project. Through an iterative process we plan to continue this exchange and address the variety of issues managers continually have to face to maintain healthy ecosystems.
A Path to Actionable Climate Science: Perspectives from the Field
NASA Astrophysics Data System (ADS)
DeCrappeo, Nicole M.; Bisbal, Gustavo A.; Meadow, Alison M.
2018-02-01
The U.S. Department of the Interior Climate Science Centers (CSCs) work with natural and cultural resource managers and scientists to gather information and build tools needed to help fish, wildlife, and ecosystems adapt to the impacts of climate change. The CSCs prioritize the delivery of actionable science products (e.g., synthesized scientific information, maps, decision support tools, etc.) that are focused on key management priorities and co-produced by teams of scientists and managers. In the specific case of the Northwest CSC, we have been successful at promoting and supporting the co-production of actionable climate science at the individual project level, but it has been more difficult to replicate this success at the regional program level. Here we identify the most significant challenges in satisfying this mandate and propose the creation of a Science Advisory Panel to provide improved interface between resource managers and scientists engaged with the Northwest CSC.
Validation of an organizational communication climate assessment toolkit.
Wynia, Matthew K; Johnson, Megan; McCoy, Thomas P; Griffin, Leah Passmore; Osborn, Chandra Y
2010-01-01
Effective communication is critical to providing quality health care and can be affected by a number of modifiable organizational factors. The authors performed a prospective multisite validation study of an organizational communication climate assessment tool in 13 geographically and ethnically diverse health care organizations. Communication climate was measured across 9 discrete domains. Patient and staff surveys with matched items in each domain were developed using a national consensus process, which then underwent psychometric field testing and assessment of domain coherence. The authors found meaningful within-site and between-site performance score variability in all domains. In multivariable models, most communication domains were significant predictors of patient-reported quality of care and trust. The authors conclude that these assessment tools provide a valid empirical assessment of organizational communication climate in 9 domains. Assessment results may be useful to track organizational performance, to benchmark, and to inform tailored quality improvement interventions.
Gouin, Todd; Armitage, James M; Cousins, Ian T; Muir, Derek C G; Ng, Carla A; Reid, Liisa; Tao, Shu
2013-01-01
Multimedia environmental fate models are valuable tools for investigating potential changes associated with global climate change, particularly because thermodynamic forcing on partitioning behavior as well as diffusive and nondiffusive exchange processes are implicitly considered. Similarly, food-web bioaccumulation models are capable of integrating the net effect of changes associated with factors such as temperature, growth rates, feeding preferences, and partitioning behavior on bioaccumulation potential. For the climate change scenarios considered in the present study, such tools indicate that alterations to exposure concentrations are typically within a factor of 2 of the baseline output. Based on an appreciation for the uncertainty in model parameters and baseline output, the authors recommend caution when interpreting or speculating on the relative importance of global climate change with respect to how changes caused by it will influence chemical fate and bioavailability. Copyright © 2012 SETAC.
Mapping adaptation opportunities and activities in an interactive atlas.
Morris, Daniel F; Krishnan, Nisha
2012-01-01
The need for transparency is taking more prominence in international climate negotiations as developed countries pledge large sums of money to foster adaptation efforts in developing countries. Tools that provide accurate and up-to-date spatial information that can be easily used and vetted by local practitioners may provide effective and affordable ways to improve transparency. The Global Adaptation Atlas is such a tool, combining vetted, publicly available climate impact data with timely maps of on the ground adaptation projects to highlight confluences of effects of climate change with actions taken to address those effects. Here, we describe the structure and general functions of the Global Adaptation Atlas and explain how it may be utilized to track short-term investments in adaptation. Over longer time scales, it may also help gauge the effectiveness of specific adaptation investments as well as reveal how different climate impacts affect long-term investment in differing regions.
Advancing NOAA NWS Arctic Program Development
NASA Astrophysics Data System (ADS)
Timofeyeva-Livezey, M. M.; Horsfall, F. M. C.; Meyers, J. C.; Churma, M.; Thoman, R.
2016-12-01
Environmental changes in the Arctic require changes in the way the National Oceanic and Atmospheric Administration (NOAA) delivers hydrological and meteorological information to prepare the region's societies and indigenous population for emerging challenges. These challenges include changing weather patterns, changes in the timing and extent of sea ice, accelerated soil erosion due to permafrost decline, increasing coastal vulnerably, and changes in the traditional food supply. The decline in Arctic sea ice is opening new opportunities for exploitation of natural resources, commerce, tourism, and military interest. These societal challenges and economic opportunities call for a NOAA integrated approach for delivery of environmental information including climate, water, and weather data, forecasts, and warnings. Presently the NOAA Arctic Task Force provides leadership in programmatic coordination across NOAA line offices. National Weather Service (NWS) Alaska Region and the National Centers for Environmental Prediction (NCEP) provide the foundational operational hydro-meteorological products and services in the Arctic. Starting in 2016, NOAA's NWS will work toward improving its role in programmatic coordination and development through assembling an NWS Arctic Task Team. The team will foster ties in the Arctic between the 11 NWS national service programs in climate, water, and weather information, as well as between Arctic programs in NWS and other NOAA line offices and external partners. One of the team outcomes is improving decision support tools for the Arctic. The Local Climate Analysis Tool (LCAT) currently has more than 1100 registered users, including NOAA staff and technical partners. The tool has been available online since 2013 (http://nws.weather.gov/lcat/ ). The tool links trusted, recommended NOAA data and analytical capabilities to assess impacts of climate variability and climate change at local levels. A new capability currently being developed will enable analysis of sea ice changes in different parts of the Arctic, and allow users to link those change to phases of climate variability such as El Nino Southern Oscillation Arctic Oscillation, etc.
Innovative Instructional Tools from the AMS
NASA Astrophysics Data System (ADS)
Abshire, W. E.; Geer, I. W.; Mills, E. W.; Nugnes, K. A.; Stimach, A. E.
2016-12-01
Since 1996, the American Meteorological Society (AMS) has been developing online educational materials with dynamic features that engage students and encourage additional exploration of various concepts. Most recently, AMS transitioned its etextbooks to webBooks. Now accessible anywhere with internet access, webBooks can be read with any web browser. Prior versions of AMS etextbooks were difficult to use in a lab setting, however webBooks are much easier to use and no longer a hurdle to learning. Additionally, AMS eInvestigations Manuals, also in webBook format, include labs with innovative features and educational tools. One such example is the AMS Climate at a Glance (CAG) app that draws data from NOAA's Climate at a Glance website. The user selects historical data of a given parameter and the app calculates various statistics revealing whether or not the results are consistent with climate change. These results allow users to distinguish between climate variability and climate change. This can be done for hundreds of locations across the U.S. and on multiple time scales. Another innovative educational tool used in AMS eInvestigations Manuals is the AMS Conceptual Climate Energy Model (CCEM). The CCEM is a computer simulation designed to enable users to track the paths that units of energy might follow as they enter, move through and exit an imaginary system according to simple rules applied to different scenarios. The purpose is to provide insight into the impacts of physical processes that operate in the real world. Finally, AMS educational materials take advantage of Google Earth imagery to reproduce the physical aspects of globes, allowing users to investigate spatial relationships in three dimensions. Google Earth imagery is used to explore tides, ocean bottom bathymetry and El Nino and La Nina. AMS will continue to develop innovative educational materials and tools as technology advances, to attract more students to the Earth sciences.
NASA Astrophysics Data System (ADS)
Gergel, D. R.; Watts, L. H.; Salathe, E. P.; Mankowski, J. D.
2017-12-01
Climate science, already a highly interdisciplinary field, is rapidly evolving, and natural resource managers are increasingly involved in policymaking and adaptation decisions to address climate change that need to be informed by state-of-the-art climate science. Consequently, there is a strong demand for unique organizations that engender collaboration and cooperation between government, non-profit, academic and for-profit sectors that are addressing issues relating to natural resources management and climate adaptation and resilience. These organizations are often referred to as boundary organizations. The Northwest Climate Science Center (NW CSC) and the North Pacific Landscape Conservation Cooperative (NP LCC) are two such boundary organizations operating in different contexts. Together, the NW CSC and the NP LCC fulfill the need for sites of co-production between researchers and managers working on climate-related issues, and a key component of this work is a monthly climate science newsletter that includes recent climate science journal articles, reports, and climate-related events. Our study evaluates the effectiveness of the climate science digest (CSD) through a three-pronged approach: a) in-depth interviews with natural resource managers who use the CSD, b) poll questions distributed to CSD subscribers, and c) quantitative analysis of CSD effectiveness using analytics from MailChimp distribution. We aim to a) map the reach of the CSD across the Northwest and at a national level; b) understand the efficacy of the CSD at communicating climate science to diverse audiences; c) evaluate the usefulness of CSD content for diverse constituencies of subscribers; d) glean transferrable knowledge for future evaluations of boundary management tools; and e) establish a protocol for designing climate science newsletters for other agencies disseminating climate science information. We will present results from all three steps of our evaluation process and describe their implications for future evaluations of climate science communications products and other boundary management tools in the field of natural resources management.
When the circus comes to town: Countering campus presentations on climate denial
NASA Astrophysics Data System (ADS)
Corbin, J.
2012-12-01
A key element of the corporate and conservative campaign to discredit climate science has been public presentations by high-profile climate change deniers who offer "the real view" of climate science. While such speakers often intend to muddy the waters with respect to climate science, they can also serve as an initiative to highlight the widely accepted facts of climate change and the nature of scientific consensus on the topic. Our experience, based on a visit by Christopher Monckton to Union College, is that the attention and publicity surrounding such events can have a positive impact by raising the profile of climate science and engaging a wider audience than would otherwise be possible. The principle lesson from our experience is that our students are some of the most effective counters to such presentations by climate change deniers. Students at Union College worked with faculty to organize sophisticated presentations and forums to present a coherent message about the science of climate change. They engaged with Monckton during his presentation and in a follow-up forum, used social media tools such as Facebook, Twitter, and Reddit to communicate with one another and with their peers, and displayed highly sophisticated critical thinking skills. Above all, they had the passion and energy to organize, to engage with a high-profile speaker, and to rebut arguments that misrepresented the state of climate science. While we had effectively used social media tools to organize and communicate within our own communities, we were subject to a well-organized campaign that used those same tools to discredit our efforts. Links to coverage of the event in our campus newspaper were shared worldwide via Twitter and Facebook, and we were flooded with messages from people with no campus connection. The event was also featured, along with derogatory descriptions of organizers, at the website Wattsupwiththat and a contribution by Monckton to the Financial Post. We would have been far better prepared for post-event publicity if we had anticipated that social media tools can effectively nationalize discussions that take place even at small colleges. Even with that knowledge, however, the balance of power in carrying on a debate in the public sphere seems strongly weighted toward the network of climate deniers. I co-authored an EOS Forum paper that described our experiences at Union College and at nearby Rensselaer Polytechnic Institute. The number of blog or Twitter references to EOS pales in comparison to those linking to a reply authored by Monckton and posted online. At this point, communication of climate science seems at a distinct disadvantage compared to communication of climate denial. This is not to say that we should yield the floor to those who attempt to discredit our research and contradict what we teach in our classes - doing so risks giving the impression that scientific literacy and public awareness of climate change are of little importance to us. Instead, when we engage climate science deniers, we make clear that we believe much is at stake.
Bharwani, Sukaina; Bithell, Mike; Downing, Thomas E; New, Mark; Washington, Richard; Ziervogel, Gina
2005-11-29
Seasonal climate outlooks provide one tool to help decision-makers allocate resources in anticipation of poor, fair or good seasons. The aim of the 'Climate Outlooks and Agent-Based Simulation of Adaptation in South Africa' project has been to investigate whether individuals, who adapt gradually to annual climate variability, are better equipped to respond to longer-term climate variability and change in a sustainable manner. Seasonal climate outlooks provide information on expected annual rainfall and thus can be used to adjust seasonal agricultural strategies to respond to expected climate conditions. A case study of smallholder farmers in a village in Vhembe district, Limpopo Province, South Africa has been used to examine how such climate outlooks might influence agricultural strategies and how this climate information can be improved to be more useful to farmers. Empirical field data has been collected using surveys, participatory approaches and computer-based knowledge elicitation tools to investigate the drivers of decision-making with a focus on the role of climate, market and livelihood needs. This data is used in an agent-based social simulation which incorporates household agents with varying adaptation options which result in differing impacts on crop yields and thus food security, as a result of using or ignoring the seasonal outlook. Key variables are the skill of the forecast, the social communication of the forecast and the range of available household and community-based risk coping strategies. This research provides a novel approach for exploring adaptation within the context of climate change.
NASA Astrophysics Data System (ADS)
Gordova, Yulia; Gorbatenko, Valentina; Martynova, Yulia; Shulgina, Tamara
2014-05-01
A problem of making education relevant to the workplace tasks is a key problem of higher education because old-school training programs are not keeping pace with the rapidly changing situation in the professional field of environmental sciences. A joint group of specialists from Tomsk State University and Siberian center for Environmental research and Training/IMCES SB RAS developed several new courses for students of "Climatology" and "Meteorology" specialties, which comprises theoretical knowledge from up-to-date environmental sciences with practical tasks. To organize the educational process we use an open-source course management system Moodle (www.moodle.org). It gave us an opportunity to combine text and multimedia in a theoretical part of educational courses. The hands-on approach is realized through development of innovative trainings which are performed within the information-computational platform "Climate" (http://climate.scert.ru/) using web GIS tools. These trainings contain practical tasks on climate modeling and climate changes assessment and analysis and should be performed using typical tools which are usually used by scientists performing such kind of research. Thus, students are engaged in n the use of modern tools of the geophysical data analysis and it cultivates dynamic of their professional learning. The hands-on approach can help us to fill in this gap because it is the only approach that offers experience, increases students involvement, advance the use of modern information and communication tools. The courses are implemented at Tomsk State University and help forming modern curriculum in Earth system science area. This work is partially supported by SB RAS project VIII.80.2.1, RFBR grants numbers 13-05-12034 and 14-05-00502.
Educational and Scientific Applications of Climate Model Diagnostic Analyzer
NASA Astrophysics Data System (ADS)
Lee, S.; Pan, L.; Zhai, C.; Tang, B.; Kubar, T. L.; Zhang, J.; Bao, Q.
2016-12-01
Climate Model Diagnostic Analyzer (CMDA) is a web-based information system designed for the climate modeling and model analysis community to analyze climate data from models and observations. CMDA provides tools to diagnostically analyze climate data for model validation and improvement, and to systematically manage analysis provenance for sharing results with other investigators. CMDA utilizes cloud computing resources, multi-threading computing, machine-learning algorithms, web service technologies, and provenance-supporting technologies to address technical challenges that the Earth science modeling and model analysis community faces in evaluating and diagnosing climate models. As CMDA infrastructure and technology have matured, we have developed the educational and scientific applications of CMDA. Educationally, CMDA supported the summer school of the JPL Center for Climate Sciences for three years since 2014. In the summer school, the students work on group research projects where CMDA provide datasets and analysis tools. Each student is assigned to a virtual machine with CMDA installed in Amazon Web Services. A provenance management system for CMDA is developed to keep track of students' usages of CMDA, and to recommend datasets and analysis tools for their research topic. The provenance system also allows students to revisit their analysis results and share them with their group. Scientifically, we have developed several science use cases of CMDA covering various topics, datasets, and analysis types. Each use case developed is described and listed in terms of a scientific goal, datasets used, the analysis tools used, scientific results discovered from the use case, an analysis result such as output plots and data files, and a link to the exact analysis service call with all the input arguments filled. For example, one science use case is the evaluation of NCAR CAM5 model with MODIS total cloud fraction. The analysis service used is Difference Plot Service of Two Variables, and the datasets used are NCAR CAM total cloud fraction and MODIS total cloud fraction. The scientific highlight of the use case is that the CAM5 model overall does a fairly decent job at simulating total cloud cover, though simulates too few clouds especially near and offshore of the eastern ocean basins where low clouds are dominant.
A Model Based Mars Climate Database for the Mission Design
NASA Technical Reports Server (NTRS)
2005-01-01
A viewgraph presentation on a model based climate database is shown. The topics include: 1) Why a model based climate database?; 2) Mars Climate Database v3.1 Who uses it ? (approx. 60 users!); 3) The new Mars Climate database MCD v4.0; 4) MCD v4.0: what's new ? 5) Simulation of Water ice clouds; 6) Simulation of Water ice cycle; 7) A new tool for surface pressure prediction; 8) Acces to the database MCD 4.0; 9) How to access the database; and 10) New web access
Miller, Brian W.; Morisette, Jeffrey T.
2014-01-01
Developing resource management strategies in the face of climate change is complicated by the considerable uncertainty associated with projections of climate and its impacts and by the complex interactions between social and ecological variables. The broad, interconnected nature of this challenge has resulted in calls for analytical frameworks that integrate research tools and can support natural resource management decision making in the face of uncertainty and complex interactions. We respond to this call by first reviewing three methods that have proven useful for climate change research, but whose application and development have been largely isolated: species distribution modeling, scenario planning, and simulation modeling. Species distribution models provide data-driven estimates of the future distributions of species of interest, but they face several limitations and their output alone is not sufficient to guide complex decisions for how best to manage resources given social and economic considerations along with dynamic and uncertain future conditions. Researchers and managers are increasingly exploring potential futures of social-ecological systems through scenario planning, but this process often lacks quantitative response modeling and validation procedures. Simulation models are well placed to provide added rigor to scenario planning because of their ability to reproduce complex system dynamics, but the scenarios and management options explored in simulations are often not developed by stakeholders, and there is not a clear consensus on how to include climate model outputs. We see these strengths and weaknesses as complementarities and offer an analytical framework for integrating these three tools. We then describe the ways in which this framework can help shift climate change research from useful to usable.
NASA Astrophysics Data System (ADS)
Mayer, A.; Vivoni, E.; Halvorsen, K.; Robles-Morua, A.; Dana, K.; Che, D.; Mirchi, A.; Kossak, D.; Casteneda, M.
2013-05-01
In this project, we are studying decision-making for water resources management in anticipation of climate change in the Sonora River Basin, Mexico as a case study for the broader arid and semiarid southwestern North America. The goal of the proposed project is to determine whether water resources systems modeling, developed within a participatory framework, can contribute to the building of management strategies in a context of water scarcity, conflicting water uses and highly variable and changing climate conditions. The participatory modeling approach will be conducted through a series of three workshops, designed to encourage substantive participation from a broad range of actors, including representatives from federal and local government agencies, water use sectors, non-governmental organizations, and academics. Participants will guide the design of supply- and demand-side management strategies and selection of climate change and infrastructure management scenarios using state-of-the-art engineering tools. These tools include a water resources systems framework, a spatially-explicit hydrologic model, the use of forecasted climate scenarios under 21st century climate change, and observations obtained from field and satellite sensors. Through the theory of planned behavior, the participatory modeling process will be evaluated to understand if, and to what extent, the engineering tools are useful in the uncertain and politically-complex setting. Pre- and post-workshop surveys will be used in this evaluation. For this contribution, we present the results of the first collaborative modeling workshop that will be held in March 2013, where we will develop the initial modeling framework in collaboration with workshop participants.
NCPP's Use of Standard Metadata to Promote Open and Transparent Climate Modeling
NASA Astrophysics Data System (ADS)
Treshansky, A.; Barsugli, J. J.; Guentchev, G.; Rood, R. B.; DeLuca, C.
2012-12-01
The National Climate Predictions and Projections (NCPP) Platform is developing comprehensive regional and local information about the evolving climate to inform decision making and adaptation planning. This includes both creating and providing tools to create metadata about the models and processes used to create its derived data products. NCPP is using the Common Information Model (CIM), an ontology developed by a broad set of international partners in climate research, as its metadata language. This use of a standard ensures interoperability within the climate community as well as permitting access to the ecosystem of tools and services emerging alongside the CIM. The CIM itself is divided into a general-purpose (UML & XML) schema which structures metadata documents, and a project or community-specific (XML) Controlled Vocabulary (CV) which constraints the content of metadata documents. NCPP has already modified the CIM Schema to accommodate downscaling models, simulations, and experiments. NCPP is currently developing a CV for use by the downscaling community. Incorporating downscaling into the CIM will lead to several benefits: easy access to the existing CIM Documents describing CMIP5 models and simulations that are being downscaled, access to software tools that have been developed in order to search, manipulate, and visualize CIM metadata, and coordination with national and international efforts such as ES-DOC that are working to make climate model descriptions and datasets interoperable. Providing detailed metadata descriptions which include the full provenance of derived data products will contribute to making that data (and, the models and processes which generated that data) more open and transparent to the user community.
Developing the architecture for the Climate Information Portal for Copernicus
NASA Astrophysics Data System (ADS)
Som de Cerff, Wim; Thijsse, Peter; Plieger, Maarten; Pascoe, Stephen; Jukes, Martin; Leadbetter, Adam; Goosen, Hasse; de Vreede, Ernst
2015-04-01
Climate change is impacting the environment, society and policy decisions. Information about climate change is available from many sources, but not all of them are reliable. The CLIPC project is developing a portal to provide a single point of access for authoritative scientific information on climate change. This ambitious objective is made possible through the Copernicus Earth Observation Programme for Europe, which will deliver a new generation of environmental measurements of climate quality. The data about the physical environment which is used to inform climate change policy and adaptation measures comes from several categories: satellite measurements, terrestrial observing systems, model projections and simulations and from re-analyses (syntheses of all available observations constrained with numerical weather prediction systems). These data categories are managed by different communities: CLIPC will provide a single point of access for the whole range of data. Information on data value and limitations will be provided as part of a knowledge base of authoritative climate information. The impacts of climate change on society will generally reflect a range of different environmental and climate system changes, and different sectors and actors within society will react differently to these changes. The CLIPC portal will provide some a number of indicators showing impacts on specific sectors which have been generated using a range of factors selected through structured expert consultation. It will also, as part of the transformation services, allow users to explore the consequences of using different combinations of driving factors which they consider to be of particular relevance to their work or life. The portal will provide information on the scientific quality and pitfalls of such transformations to prevent misleading usage of the results. The CLIPC project will not be able to process a comprehensive range of climate change impacts on the physical environment and society, but will develop an end to end processing chain (indicator toolkit), from comprehensive information on the climate state through to highly aggregated decision relevant products. This processing chain will be demonstrated within three thematic areas: water, rural and urban. Indicators of climate change and climate change impact will be provided, and a toolkit to update and post process the collection of indicators will be integrated into the portal. For the indicators three levels (Tiers) have been loosely defined: Tier 1: field summarising properties of the climate system; e.g. temperature change; Tier 2: expressed in terms of environmental properties outside the climate system; e.g. flooding change; Tier 3: expressed in social and economic impact. For the architecture, CLIPC has two interlocked themes: 1. Harmonised access to climate datasets derived from models, observations and re-analyses 2. A climate impact toolkit to evaluate, rank and aggregate indicators For development of the CLIPC architecture an Agile 'storyline' approach is taken. The storyline is a real world use case and consists of producing a Tier 3 indicator (Urban Heat Vulnerability) and making it available through the CLIPC infrastructure for a user group. In this way architecture concepts can be directly tested and improved. Also, the produced indicator can be shown to users to refine requirements. Main components of the CLIPC architecture are 1) Data discovery and access, 2) Data processing, 3) Data visualization, 4) Knowledge base and 5) User Management. The Data discovery and access component main challenge is to provide harmonized access to various sources of climate data (ngEO, EMODNET/SeaDataNet, ESGF, MyOcean). The discovery service concept will be provided using a CLIPC data and data product catalogue and via a structured data search on selected infrastructures, using NERC vocabulary services and mappings. Data processing will be provided using OGC WPS services, linking/re-using existing processing services from climate4impact.eu. The processing services will allow users to calculate climate impact indicators (Tier 1, 2 and 3). Processing wizards will guide users in processing indicators. The PyWPS framework will be used. The CLIPC portal will have its own central viewing service, using OGC standards for interoperability. For the WMS server side the ADAGUC framework will be used. For Tier 3 visualizations specific tailored visualisations will be developed. Tier 3 can be complicated to build and require manual work from specialists to provide meaningful results before they can be published as e.g. interactive maps. The CLIPC knowledge base is a set of services that supply explanatory information to the users when working with CLIPC services. It is structured around 1) a catalogue, containing ISO standardized metadata, citations, background information, links to data; 2) Commentary information, e.g. FAQ, annotation URLs , version information, disclaimers; 3) Technical documents, e.g. using vocabularies and mappings 4) Glossaries, adding and using existing glossaries from e.g. EUPORIAS/IS-ENES, IPCC; 5) literature references. CLIPC will have a very light weight user management system, providing as little barriers to the user as possible. We will make use of OpenID, accepting from selected OpenID providers such as Google and ESGF. In the presentation we will show the storyline implementation: the first results of the Tier 3 indicator, the architecture in development and the lessons learned.
NASA Astrophysics Data System (ADS)
Prokopy, L. S.; Widhalm, M.
2014-12-01
There is a close connection between weather and climate patterns and successful agricultural production. Therefore, incorporating climate information into farm management is likely to reduce the risk of economic losses and increase profitability. While weather and climate information is becoming ever more abundant and accessible, the use of such information in the agricultural community remains limited. Useful to Usable (U2U): Transforming Climate Variability and Change Information for Cereal Crop Producers is a USDA-NIFA funded research and extension project focused on improving the use of climate information for agricultural production in the Midwestern United States by developing user-driven decision tools and training resources. The U2U team is a diverse and uniquely qualified group of climatologists, crop modelers, agronomists, and social scientists from 9 Midwestern universities and two NOAA Regional Climate Centers. Together, we strive to help producers make better long-term plans on what, when and where to plant and also how to manage crops for maximum yields and minimum environmental damage. To ensure relevance and usability of U2U products, our social science team is using a number of techniques including surveys and focus groups to integrate stakeholder interests, needs, and concerns into all aspects of U2U research. It is through this coupling of physical and social science disciplines that we strive to transform existing climate information into actionable knowledge.
Template for assessing climate change impacts and management options: TACCIMO user guide version 2.2
Emrys Treasure; Steven McNulty; Jennifer Moore Myers; Lisa Nicole Jennings
2014-01-01
The Template for Assessing Climate Change Impacts and Management Options (TACCIMO) is a Web-based tool developed by the Forest Service, U.S. Department of Agriculture to assist Federal, State, and private land managers and planners with evaluation of climate change science implications for sustainable natural resource management. TACCIMO is a dynamic information...
Measuring Engagement with the Potential Consequences of Climate Change
NASA Astrophysics Data System (ADS)
Young, N.; Danielson, R. W.; Lombardi, D.
2015-12-01
Across three studies, we investigated engagement with the consequences of climate change. We drew from the conceptual change and risk analysis literatures to find the factors that determine how much people will care about future risks. Questions derived from these factors were then asked about many hypothesized consequences of climate change. These consequences were drawn from an Intergovernmental Panel on Climate Change special report (IPCC, 2012) and, in the third study, additionally from the IPCC AR5 (IPCC, 2014). The first two studies, using undergraduate students, demonstrated that some consequences were indeed considerably more engaging than others. The third study used a more representative sample of American adults, drawn from Amazon Mechanical Turk and used the Global Warming's Six Americas Screening Tool (Maibach, Leiserowitz, Roser-Renouf, Mertz, & Akerlof, 2011) in a large screening survey to find 20 participants in each of the six audiences defined by this tool. These participants were then asked about the potential consequences of climate change. Results again showed that some consequences are considered more engaging than others, and also showed the ways in which members of these six audiences perceive the consequences of climate change differently.
Biological invasions, climate change and genomics
Chown, Steven L; Hodgins, Kathryn A; Griffin, Philippa C; Oakeshott, John G; Byrne, Margaret; Hoffmann, Ary A
2015-01-01
The rate of biological invasions is expected to increase as the effects of climate change on biological communities become widespread. Climate change enhances habitat disturbance which facilitates the establishment of invasive species, which in turn provides opportunities for hybridization and introgression. These effects influence local biodiversity that can be tracked through genetic and genomic approaches. Metabarcoding and metagenomic approaches provide a way of monitoring some types of communities under climate change for the appearance of invasives. Introgression and hybridization can be followed by the analysis of entire genomes so that rapidly changing areas of the genome are identified and instances of genetic pollution monitored. Genomic markers enable accurate tracking of invasive species’ geographic origin well beyond what was previously possible. New genomic tools are promoting fresh insights into classic questions about invading organisms under climate change, such as the role of genetic variation, local adaptation and climate pre-adaptation in successful invasions. These tools are providing managers with often more effective means to identify potential threats, improve surveillance and assess impacts on communities. We provide a framework for the application of genomic techniques within a management context and also indicate some important limitations in what can be achieved. PMID:25667601
Concept analysis of safety climate in healthcare providers.
Lin, Ying-Siou; Lin, Yen-Chun; Lou, Meei-Fang
2017-06-01
To report an analysis of the concept of safety climate in healthcare providers. Compliance with safe work practices is essential to patient safety and care outcomes. Analysing the concept of safety climate from the perspective of healthcare providers could improve understanding of the correlations between safety climate and healthcare provider compliance with safe work practices, thus enhancing quality of patient care. Concept analysis. The electronic databases of CINAHL, MEDLINE, PubMed and Web of Science were searched for literature published between 1995-2015. Searches used the keywords 'safety climate' or 'safety culture' with 'hospital' or 'healthcare'. The concept analysis method of Walker and Avant analysed safety climate from the perspective of healthcare providers. Three attributes defined how healthcare providers define safety climate: (1) creation of safe working environment by senior management in healthcare organisations; (2) shared perception of healthcare providers about safety of their work environment; and (3) the effective dissemination of safety information. Antecedents included the characteristics of healthcare providers and healthcare organisations as a whole, and the types of work in which they are engaged. Consequences consisted of safety performance and safety outcomes. Most studies developed and assessed the survey tools of safety climate or safety culture, with a minority consisting of interventional measures for improving safety climate. More prospective studies are needed to create interventional measures for improving safety climate of healthcare providers. This study is provided as a reference for use in developing multidimensional safety climate assessment tools and interventional measures. The values healthcare teams emphasise with regard to safety can serve to improve safety performance. Having an understanding of the concept of and interventional measures for safety climate allows healthcare providers to ensure the safety of their operations and their patients. © 2016 John Wiley & Sons Ltd.
NASA Earth Exchange (NEX) Supporting Analyses for National Climate Assessments
NASA Astrophysics Data System (ADS)
Nemani, R. R.; Thrasher, B. L.; Wang, W.; Lee, T. J.; Melton, F. S.; Dungan, J. L.; Michaelis, A.
2015-12-01
The NASA Earth Exchange (NEX) is a collaborative computing platform that has been developed with the objective of bringing scientists together with the software tools, massive global datasets, and supercomputing resources necessary to accelerate research in Earth systems science and global change. NEX supports several research projects that are closely related with the National Climate Assessment including the generation of high-resolution climate projections, identification of trends and extremes in climate variables and the evaluation of their impacts on regional carbon/water cycles and biodiversity, the development of land-use management and adaptation strategies for climate-change scenarios, and even the exploration of climate mitigation through geo-engineering. Scientists also use the large collection of satellite data on NEX to conduct research on quantifying spatial and temporal changes in land surface processes in response to climate and land-cover-land-use changes. Researchers, leveraging NEX's massive compute/storage resources, have used statistical techniques to downscale the coarse-resolution CMIP5 projections to fulfill the demands of the community for a wide range of climate change impact analyses. The DCP-30 (Downscaled Climate Projections at 30 arcsecond) for the conterminous US at monthly, ~1km resolution and the GDDP (Global Daily Downscaled Projections) for the entire world at daily, 25km resolution are now widely used in climate research and applications, as well as for communicating climate change. In order to serve a broader community, the NEX team in collaboration with Amazon, Inc, created the OpenNEX platform. OpenNEX provides ready access to NEX data holdings, including the NEX-DCP30 and GDDP datasets along with a number of pertinent analysis tools and workflows on the AWS infrastructure in the form of publicly available, self contained, fully functional Amazon Machine Images (AMI's) for anyone interested in global climate change.
Urbanism, climate change and health: systems approaches to governance.
Capon, Anthony G; Synnott, Emma S; Holliday, Sue
2009-01-01
Effective action on climate change health impacts and vulnerability will require systems approaches and integrated policy and planning responses from a range of government agencies. Similar responses are needed to address other complex problems, such as the obesity epidemic. Local government, with its focus on the governance of place, will have a key role in responding to these convergent agendas. Industry can also be part of the solution - indeed it must be, because it has a lead role in relevant sectors. Understanding the co-benefits for health of climate mitigation actions will strengthen the case for early action. There is a need for improved decision support tools to inform urban governance. These tools should be based on a systems approach and should incorporate a spatial perspective.
Origins of magic: review of genetic and epigenetic effects.
Ramagopalan, Sreeram V; Knight, Marian; Ebers, George C; Knight, Julian C
2007-12-22
To assess the evidence for a genetic basis to magic. Literature review. Harry Potter novels of J K Rowling. Muggles, witches, wizards, and squibs. Limited. Family and twin studies, magical ability, and specific magical skills. Magic shows strong evidence of heritability, with familial aggregation and concordance in twins. Evidence suggests magical ability to be a quantitative trait. Specific magical skills, notably being able to speak to snakes, predict the future, and change hair colour, all seem heritable. A multilocus model with a dominant gene for magic might exist, controlled epistatically by one or more loci, possibly recessive in nature. Magical enhancers regulating gene expressionmay be involved, combined with mutations at specific genes implicated in speech and hair colour such as FOXP2 and MCR1.
First Mass-resolved Measurement of High-Energy Cosmic-Ray Antiprotons
NASA Astrophysics Data System (ADS)
Bergström, D.; Boezio, M.; Carlson, P.; Francke, T.; Grinstein, S.; Khalchukov, F.; Suffert, M.; Hof, M.; Kremer, J.; Menn, W.; Simon, M.; Stephens, S. A.; Ambriola, M. L.; Bellotti, R.; Cafagna, F.; Ciacio, F.; Circella, M.; De Marzo, C.; Finetti, N.; Papini, P.; Piccardi, S.; Spillantini, P.; Bartalucci, S.; Ricci, M.; Casolino, M.; De Pascale, M. P.; Morselli, A.; Picozza, P.; Sparvoli, R.; Bonvicini, V.; Schiavon, P.; Vacchi, A.; Zampa, N.; Mitchell, J. W.; Ormes, J. F.; Streitmatter, R. E.; Bravar, U.; Stochaj, S. J.
2000-05-01
We report new results for the cosmic-ray antiproton-to-proton ratio from 3 to 50 GeV at the top of the atmosphere. These results represent the first measurements, on an event-by-event basis, of mass-resolved antiprotons above 18 GeV. The results were obtained with the NMSU-WIZARD/CAPRICE98 balloon-borne magnet spectrometer equipped with a gas-RICH (Ring-Imaging Cerenkov) counter and a silicon-tungsten imaging calorimeter. The RICH detector was the first ever flown that is capable of identifying charge-one particles at energies above 5 GeV. The spectrometer was flown on 1998 May 28-29 from Fort Sumner, New Mexico. The measured p/p ratio is in agreement with a pure secondary interstellar production.
NewProt - a protein engineering portal.
Schwarte, Andreas; Genz, Maika; Skalden, Lilly; Nobili, Alberto; Vickers, Clare; Melse, Okke; Kuipers, Remko; Joosten, Henk-Jan; Stourac, Jan; Bendl, Jaroslav; Black, Jon; Haase, Peter; Baakman, Coos; Damborsky, Jiri; Bornscheuer, Uwe; Vriend, Gert; Venselaar, Hanka
2017-06-01
The NewProt protein engineering portal is a one-stop-shop for in silico protein engineering. It gives access to a large number of servers that compute a wide variety of protein structure characteristics supporting work on the modification of proteins through the introduction of (multiple) point mutations. The results can be inspected through multiple visualizers. The HOPE software is included to indicate mutations with possible undesired side effects. The Hotspot Wizard software is embedded for the design of mutations that modify a proteins' activity, specificity, or stability. The NewProt portal is freely accessible at http://newprot.cmbi.umcn.nl/ and http://newprot.fluidops.net/. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
Building Interactive Simulations in Web Pages without Programming.
Mailen Kootsey, J; McAuley, Grant; Bernal, Julie
2005-01-01
A software system is described for building interactive simulations and other numerical calculations in Web pages. The system is based on a new Java-based software architecture named NumberLinX (NLX) that isolates each function required to build the simulation so that a library of reusable objects could be assembled. The NLX objects are integrated into a commercial Web design program for coding-free page construction. The model description is entered through a wizard-like utility program that also functions as a model editor. The complete system permits very rapid construction of interactive simulations without coding. A wide range of applications are possible with the system beyond interactive calculations, including remote data collection and processing and collaboration over a network.
Droughts and water scarcity: facing challenges
NASA Astrophysics Data System (ADS)
Pereira, Luis S.
2014-05-01
Water scarcity characterizes large portions of the world, particularly the Mediterranean area. It is due to natural causes - climate aridity, which is permanent, and droughts, that are temporary - and to human causes - long term desertification and short term water shortages. Droughts aggravate water scarcity. Knowledge has well developed relative to all processes but management tools still are insufficient as well as the tools required to support appropriate planning and management. Particularly, new approaches on tools for assessing related impacts in agriculture and other economic and social activities are required. Droughts occur in all climates but their characteristics largely differ among regions both in terms frequency, duration and intensity. Research has already produced a large number of tools that allow appropriate monitoring of droughts occurrence and intensity, including dynamics of drought occurrence and time evolution. Advances in drought prediction already are available but we still are far from knowing when a drought will start, how it will evolve and when it dissipates. New developments using teleconnections and GCM are being considered. Climate change is a fact. Are droughts occurrence and severity changing with global change? Opinions are divided about this subject since driving factors and processes are varied and tools for the corresponding analysis are also various. Particularly, weather data series are often too short for obtaining appropriate answers. In a domain where research is producing improved knowledge and innovative approaches, research faces however a variety of challenges. The main ones, dealt in this keynote, refer to concepts and definitions, use of monitoring indices, prediction of drought initiation and evolution, improved assessment of drought impacts, and possible influence of climate change on drought occurrence and severity.
If you're designing a new landscape or rethinking your current one, the WaterSense Water Budget Tool will tell you if you have designed a landscape that will use an appropriate amount of water for your climate.
Light-weight Parallel Python Tools for Earth System Modeling Workflows
NASA Astrophysics Data System (ADS)
Mickelson, S. A.; Paul, K.; Xu, H.; Dennis, J.; Brown, D. I.
2015-12-01
With the growth in computing power over the last 30 years, earth system modeling codes have become increasingly data-intensive. As an example, it is expected that the data required for the next Intergovernmental Panel on Climate Change (IPCC) Assessment Report (AR6) will increase by more than 10x to an expected 25PB per climate model. Faced with this daunting challenge, developers of the Community Earth System Model (CESM) have chosen to change the format of their data for long-term storage from time-slice to time-series, in order to reduce the required download bandwidth needed for later analysis and post-processing by climate scientists. Hence, efficient tools are required to (1) perform the transformation of the data from time-slice to time-series format and to (2) compute climatology statistics, needed for many diagnostic computations, on the resulting time-series data. To address the first of these two challenges, we have developed a parallel Python tool for converting time-slice model output to time-series format. To address the second of these challenges, we have developed a parallel Python tool to perform fast time-averaging of time-series data. These tools are designed to be light-weight, be easy to install, have very few dependencies, and can be easily inserted into the Earth system modeling workflow with negligible disruption. In this work, we present the motivation, approach, and testing results of these two light-weight parallel Python tools, as well as our plans for future research and development.
Rempel, Robert S; Hornseth, Megan L
2017-01-01
Climate change is a global concern, requiring international strategies to reduce emissions, however, climate change vulnerability assessments are often local in scope with assessment areas restricted to jurisdictional boundaries. In our study we explored tools and impediments to understanding and responding to the effects of climate change on vulnerability of migratory birds from a binational perspective. We apply and assess the utility of a Climate Change Vulnerability Index on 3 focal species using distribution or niche modeling frameworks. We use the distributional forecasts to explore possible changes to jurisdictional conservation responsibilities resulting from shifting distributions for: eastern meadowlark (Sturnella magna), wood thrush (Hylocichla mustelina), and hooded warbler (Setophaga citrina). We found the Climate Change Vulnerability Index to be a well-organized approach to integrating numerous lines of evidence concerning effects of climate change, and provided transparency to the final assessment of vulnerability. Under this framework, we identified that eastern meadowlark and wood thrush are highly vulnerable to climate change, but hooded warbler is less vulnerable. Our study revealed impediments to assessing and modeling vulnerability to climate change from a binational perspective, including gaps in data or modeling for climate exposure parameters. We recommend increased cross-border collaboration to enhance the availability and resources needed to improve vulnerability assessments and development of conservation strategies. We did not find evidence to suggest major shifts in jurisdictional responsibility for the 3 focal species, but results do indicate increasing responsibility for these birds in the Canadian Provinces. These Provinces should consider conservation planning to help ensure a future supply of necessary habitat for these species.
2017-01-01
Climate change is a global concern, requiring international strategies to reduce emissions, however, climate change vulnerability assessments are often local in scope with assessment areas restricted to jurisdictional boundaries. In our study we explored tools and impediments to understanding and responding to the effects of climate change on vulnerability of migratory birds from a binational perspective. We apply and assess the utility of a Climate Change Vulnerability Index on 3 focal species using distribution or niche modeling frameworks. We use the distributional forecasts to explore possible changes to jurisdictional conservation responsibilities resulting from shifting distributions for: eastern meadowlark (Sturnella magna), wood thrush (Hylocichla mustelina), and hooded warbler (Setophaga citrina). We found the Climate Change Vulnerability Index to be a well-organized approach to integrating numerous lines of evidence concerning effects of climate change, and provided transparency to the final assessment of vulnerability. Under this framework, we identified that eastern meadowlark and wood thrush are highly vulnerable to climate change, but hooded warbler is less vulnerable. Our study revealed impediments to assessing and modeling vulnerability to climate change from a binational perspective, including gaps in data or modeling for climate exposure parameters. We recommend increased cross-border collaboration to enhance the availability and resources needed to improve vulnerability assessments and development of conservation strategies. We did not find evidence to suggest major shifts in jurisdictional responsibility for the 3 focal species, but results do indicate increasing responsibility for these birds in the Canadian Provinces. These Provinces should consider conservation planning to help ensure a future supply of necessary habitat for these species. PMID:28225817
NASA Astrophysics Data System (ADS)
Sussman, A.; Fletcher, C. H.; Sachs, J. P.
2011-12-01
The USAPI has a population of about 1,800,000 people spread across 4.9 million square miles of the Pacific Ocean. The Pacific Islands are characterized by a multitude of indigenous cultures and languages. English is the common language of instruction in all jurisdictions, but is not the language spoken at home for most students outside of Hawai'i. Many USAPI students live considerably below the poverty line. The Pacific Island region is projected to experience some of the most profound negative impacts considerably sooner than other regions. Funded by the National Science Foundation, the Pacific Islands Climate Education Partnership (PCEP) aims to educate the region's students and citizens in ways that exemplify modern science and indigenous environmental knowledge, address the urgency of climate change impacts, and honor indigenous cultures. Students and citizens within the region will have the knowledge and skills to advance their and our understanding of climate change, and to adapt to its impacts. PCEP has developed a regional network, tools, and an emerging plan to systemically transform K-14 climate education in the USAPI. More than 50 organizations and networks have joined the partnership. These partners include all of the region's state departments of education, major universities, and community colleges, and a wide range of local partners, particularly conservation organizations. One of PCEP's major tools is general, multidisciplinary K-14 climate science education framework that organizes major underlying concepts and skills within appropriate grade-span progressions. This framework is based largely upon prior national science and climate literacy work and the National Research Council's recent document "A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas." The PCEP climate education framework has an Earth System Science foundation that is directly applicable in all locations, and it also has orientations that are particularly relevant to the USAPI context. PCEP is working with the Micronesia Conservation Trust and The Nature Conservancy to combine the climate education work with local community climate adaptation projects. This work combines the PCEP climate education framework with the Micronesia Challenge community training plans and materials, particularly the Pacific-oriented community booklet "Adapting to a Changing Climate." Combining pre-college education with community climate adaptation has the potential to yield major synergistic benefits for both efforts. Another key PCEP tool is an interactive web-based environment (http://pcep.dsp.wested.org) that interlinks the region's locations, organizations and people with information about climate science and climate impacts. This system enables the region's diverse stakeholders to access and contribute to the same information pool, and to collectively develop, and disseminate our work. This web-based environment can be configured for other climate education projects or regions.
Developing tools and strategies for communicating climate change
NASA Astrophysics Data System (ADS)
Bader, D.; Yam, E. M.; Perkins, L.
2011-12-01
Research indicates that the public views zoos and aquariums as reliable and trusted sources for information on conservation. Additionally, visiting zoos and aquariums helps people reconsider their connections to conservation issues and solutions. The Aquarium of the Pacific, an AZA-accredited institution that serves the most ethnically diverse population of all aquariums in the nation, is using exhibit space, technology, public programming, and staff professional development to present a model for how aquariums can promote climate literacy. Our newest galleries and programs are designed to immerse our visitors in experiences that connect our live animal collection to larger themes on ocean change. The Aquarium is supporting our new programming with a multifaceted staff professional development that exposes our interpretive staff to current climate science and researchers as well as current social science on public perception of climate science. Our staff also leads workshops for scientists; these sessions allow us to examine learning theory and develop tools to communicate science and controversial subjects effectively. Through our partnerships in the science, social science, and informal science education communities, we are working to innovate and develop best practices in climate communication.
The interplay between climate change, forests, and disturbances.
Dale, V H; Joyce, L A; McNulty, S; Neilson, R P
2000-11-15
Climate change affects forests both directly and indirectly through disturbances. Disturbances are a natural and integral part of forest ecosystems, and climate change can alter these natural interactions. When disturbances exceed their natural range of variation, the change in forest structure and function may be extreme. Each disturbance affects forests differently. Some disturbances have tight interactions with the species and forest communities which can be disrupted by climate change. Impacts of disturbances and thus of climate change are seen over a board spectrum of spatial and temporal scales. Future observations, research, and tool development are needed to further understand the interactions between climate change and forest disturbances.
Full Life Cycle of Data Analysis with Climate Model Diagnostic Analyzer (CMDA)
NASA Astrophysics Data System (ADS)
Lee, S.; Zhai, C.; Pan, L.; Tang, B.; Zhang, J.; Bao, Q.; Malarout, N.
2017-12-01
We have developed a system that supports the full life cycle of a data analysis process, from data discovery, to data customization, to analysis, to reanalysis, to publication, and to reproduction. The system called Climate Model Diagnostic Analyzer (CMDA) is designed to demonstrate that the full life cycle of data analysis can be supported within one integrated system for climate model diagnostic evaluation with global observational and reanalysis datasets. CMDA has four subsystems that are highly integrated to support the analysis life cycle. Data System manages datasets used by CMDA analysis tools, Analysis System manages CMDA analysis tools which are all web services, Provenance System manages the meta data of CMDA datasets and the provenance of CMDA analysis history, and Recommendation System extracts knowledge from CMDA usage history and recommends datasets/analysis tools to users. These four subsystems are not only highly integrated but also easily expandable. New datasets can be easily added to Data System and scanned to be visible to the other subsystems. New analysis tools can be easily registered to be available in the Analysis System and Provenance System. With CMDA, a user can start a data analysis process by discovering datasets of relevance to their research topic using the Recommendation System. Next, the user can customize the discovered datasets for their scientific use (e.g. anomaly calculation, regridding, etc) with tools in the Analysis System. Next, the user can do their analysis with the tools (e.g. conditional sampling, time averaging, spatial averaging) in the Analysis System. Next, the user can reanalyze the datasets based on the previously stored analysis provenance in the Provenance System. Further, they can publish their analysis process and result to the Provenance System to share with other users. Finally, any user can reproduce the published analysis process and results. By supporting the full life cycle of climate data analysis, CMDA improves the research productivity and collaboration level of its user.
NASA Technical Reports Server (NTRS)
1985-01-01
A usable data base, the Pilot climate Data System (PCDS) is described. The PCDS is designed to be an interactive, easy-to-use, on-line generalized scientific information system. It efficiently provides uniform data catalogs; inventories, and access method, as well as manipulation and display tools for a large assortment of Earth, ocean and atmospheric data for the climate-related research community. Researchers can employ the PCDS to scan, manipulate, compare, display, and study climate parameters from diverse data sets. Software features, and applications of the PCDS are highlighted.
NASA Astrophysics Data System (ADS)
Johnson, T. E.; Weaver, C. P.; Butcher, J.; Parker, A.
2011-12-01
Watershed modeling was conducted in 20 large (15,000-60,000 km2), U.S. watersheds to address gaps in our knowledge of the sensitivity of U.S. streamflow, nutrient (N and P) and sediment loading to potential future climate change, and methodological challenges associated with integrating existing tools (e.g., climate models, watershed models) and datasets to address these questions. Climate change scenarios are based on dynamically downscaled (50x50 km2) output from four of the GCMs used in the Intergovernmental Panel on Climate Change (IPCC) 4th Assessment Report for the period 2041-2070 archived by the North American Regional Climate Change Assessment Program (NARCCAP). To explore the potential interaction of climate change and urbanization, model simulations also include urban and residential development scenarios for each of the 20 study watersheds. Urban and residential development scenarios were acquired from EPA's national-scale Integrated Climate and Land Use Scenarios (ICLUS) project. Watershed modeling was conducted using the Hydrologic Simulation Program-FORTRAN (HSPF) and Soil and Water Assessment Tool (SWAT) models. Here we present a summary of results for 5 of the study watersheds; the Minnesota River, the Susquehanna River, the Apalachicola-Chattahoochee-Flint, the Salt/Verde/San Pedro, and the Willamette River Basins. This set of results provide an overview of the response to climate change in different regions of the U.S., the different sensitivities of different streamflow and water quality endpoints, and illustrate a number of methodological issues including the sensitivities and uncertainties associated with use of different watershed models, approaches for downscaling climate change projections, and interaction between climate change and other forcing factors, specifically urbanization and changes in atmospheric CO2 concentration.
NASA Astrophysics Data System (ADS)
Pfirman, S. L.; Brunacini, J.; Orlove, B. S.; Bachrach, E.; Hamilton, L.
2017-12-01
Informal learners have many different backgrounds, experiences, and perspectives. How can informal educators effectively reach such diverse audiences, meeting people where they are with regard to climate change? The Polar Learning and Responding: PoLAR Climate Change Education Partnership, supported by NSF, employs surveys, resource development, and research to develop innovative, evidence-based approaches that engage lifelong learners. General-public surveys on climate change yield insights on the knowledge and perceptions that informal learners bring to the table. That helps guide the creation of new tools for effective communication. For example, many people are unsure what causes sea level to rise. The Polar Explorer: Sea Level app uses a data and question-based approach guiding people through interactive maps to learn about melting land ice. In addition, people also tend to believe that climate impacts will happen in the future. Polar Voices podcasts feature Arctic Indigenous communities sharing first-hand experiences with climate change. Prior knowledge can be harnessed to enhance learning. Arctic SMARTIC engages people in role-playing negotiations with others to create a marine management plan. Climate game jams provide collaborative, creative spaces where participants learn as they interact with others. In each case participants, with all their knowledge and experience, are brought into group problem-solving. Understanding whom people trust for climate-change information offers insights that help them become climate communicators. Even those who are concerned about climate often do not discuss it with family and friends (Maibach et al. 2016), yet our research shows that family and friends are second only to scientists as trusted sources of climate information (Hamilton 2016). Fun and novel educational tools such as the EcoChains card game and the EcoKoin social networking app serve as conversation starters.
Charter for the ARM Climate Research Facility Science Board
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ferrell, W
The objective of the ARM Science Board is to promote the Nation’s scientific enterprise by ensuring that the best quality science is conducted at the DOE’s User Facility known as the ARM Climate Research Facility. The goal of the User Facility is to serve scientific researchers by providing unique data and tools to facilitate scientific applications for improving understanding and prediction of climate science.
A novel approach to improving writing skills: ClimateSnack
NASA Astrophysics Data System (ADS)
Reeve, Mathew
2014-05-01
Writing is a huge part of any research career. We can think of writing as a research tool we find in any research laboratory. Much like any research tool, we have to understand how to calibrate, adjust and apply it in order to achieve the very best experimental outcomes. We can learn how to use this tool with advice from writing workshops, online writing courses, books and so on. Unfortunately, when it comes to working with this tool, we often have to do it alone. But, like in any laboratory, the most rewarding way to learn and to achieve the best results is to interact with others. Through this interaction, we can improve our writing and remain motivated. ClimateSnack aims to help early career scientists understand how they can use writing as an effective research tool. We encourage the formation of writing groups at different universities and institutes. Members write short popular science articles and read them aloud at group meetings. The group uses knowledge from different learning resources to discuss the articles and give feedback. The author then improves their writing further before publishing on the ClimateSnack website. If early-career scientists can successfully increase their control of writing, they will more likely write memorable high-impact scientific articles, and confidently communicate their science via varied media to varied audiences.
NASA Astrophysics Data System (ADS)
Mihajlovski, A.; Spinuso, A.; Plieger, M.; Som de Cerff, W.
2016-12-01
Modern Climate analysis platforms provide generic and standardized ways of accessing data and processing services. These are typically supported by a wide range of OGC formats and interfaces. However, the problem of instrumentally tracing the lineage of the transformations occurring on a dataset and its provenance remains an open challenge. It requires standard-driven and interoperable solutions to facilitate understanding, sharing of self-describing data products, fostering collaboration among peers. The CLIPC portal provided us real use case, where the need of an instrumented provenance management is fundamental. CLIPC provides a single point of access for scientific information on climate change. The data about the physical environment which is used to inform climate change policy and adaptation measures comes from several categories: satellite measurements, terrestrial observing systems, model projections and simulations and from re-analyses. This is made possible through the Copernicus Earth Observation Programme for Europe. With a backbone combining WPS and OPeNDAP services, CLIPC has two themes: 1. Harmonized access to climate datasets derived from models, observations and re-analyses 2. A climate impact tool kit to evaluate, rank and aggregate indicators The climate impact tool kit is realised with the orchestration of a number of WPS that ingest, normalize and combine NetCDF files. The WPS allowing this specific computation are hosted by the climate4impact portal, which is a more generic climate data-access and processing service. In this context, guaranteeing validation and reproducibility of results, is a clearly stated requirement to improve the quality of the results obtained by the combined analysis Two core contributions made, are the enabling of a provenance wrapper around WPS services and the enabling of provenance tracing within the NetCDF format, which adopts and extends the W3C's PROV model. To disseminate indicator data and create transformed data products, a standardized provenance, metadata and processing infrastructure is researched for CLIPC. These efforts will lead towards the provision of tools for further web service processing development and optimisation, opening up possibilities to scale and administer abstract users and data driven workflows.
NASA Astrophysics Data System (ADS)
Lee, J.; Waliser, D. E.; Lee, H.; Loikith, P. C.; Kunkel, K.
2017-12-01
Monitoring temporal changes in key climate variables, such as surface air temperature and precipitation, is an integral part of the ongoing efforts of the United States National Climate Assessment (NCA). Climate models participating in CMIP5 provide future trends for four different emissions scenarios. In order to have confidence in the future projections of surface air temperature and precipitation, it is crucial to evaluate the ability of CMIP5 models to reproduce observed trends for three different time periods (1895-1939, 1940-1979, and 1980-2005). Towards this goal, trends in surface air temperature and precipitation obtained from the NOAA nClimGrid 5 km gridded station observation-based product are compared during all three time periods to the 206 CMIP5 historical simulations from 48 unique GCMs and their multi-model ensemble (MME) for NCA-defined climate regions during summer (JJA) and winter (DJF). This evaluation quantitatively examines the biases of simulated trends of the spatially averaged temperature and precipitation in the NCA climate regions. The CMIP5 MME reproduces historical surface air temperature trends for JJA for all time period and all regions, except the Northern Great Plains from 1895-1939 and Southeast during 1980-2005. Likewise, for DJF, the MME reproduces historical surface air temperature trends across all time periods over all regions except the Southeast from 1895-1939 and the Midwest during 1940-1979. The Regional Climate Model Evaluation System (RCMES), an analysis tool which supports the NCA by providing access to data and tools for regional climate model validation, facilitates the comparisons between the models and observation. The RCMES Toolkit is designed to assist in the analysis of climate variables and the procedure of the evaluation of climate projection models to support the decision-making processes. This tool is used in conjunction with the above analysis and results will be presented to demonstrate its capability to access observation and model datasets, calculate evaluation metrics, and visualize the results. Several other examples of the RCMES capabilities can be found at https://rcmes.jpl.nasa.gov.
Developing Climate Change Literacy With the Humanities: A Narrative Approach
NASA Astrophysics Data System (ADS)
Siperstein, S.
2015-12-01
Teaching the science and policy of climate change is necessary but insufficient for helping students to develop a robust climate literacy. Climate change educators must also teach students how to evaluate historical trends, to unpack the assumptions in shared cultural narratives, to grapple with ethical dilemmas, and more generally to traverse the turbulence of feeling that is a hallmark of living in a time of global climate chaos. In short, climate literacy must include the skills and strategies of the humanities, and specifically literary and cultural studies. After providing an overview of how literary and cultural studies scholars from around the world are developing innovative pedagogical methods for addressing climate change (drawing on the presenter's experience editing the forthcoming volume Teaching Climate Change in the Humanities), the presentation will then report on a specific Literary Genres course taught at the University of Oregon. The course, offered to undergraduate non-majors who entered the class with little or no knowledge of climate change, constituted a case study of action research into the transdisciplinary teaching of climate change. The presentation will thus draw on quantitative course assessments, student coursework, and the instructor's own experiences in arguing that three key narratives underpin the work we do as multidisciplinary climate change educators: narratives of observation, narratives of speculation, and narratives of conversion. That is, we guide students through the processes of witnessing climate change, imagining more just and sustainable futures, and by so doing, transforming themselves and their communities. In the particular Literary Genres course under consideration, students used the tools of literary and cultural studies first to analyze existing versions of these narratives and then to compose their own versions of these narratives based on their local communities and ecologies. In the context of multidisciplinary climate change education, one of the most important roles of the humanities is to empower students by giving them the critical and creative tools to tell their own climate stories.
The Ogallala Agro-Climate Tool (Technical Description)
USDA-ARS?s Scientific Manuscript database
A Visual Basic agro-climate application capable of estimating irrigation demand and crop water use over the Ogallala Aquifer region is described here. The application’s meteorological database consists of daily precipitation and temperature data from 141 U.S. Historical Climatology Network stations ...
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
Indices of climate change in the Artic zone derived from radiosondes
NASA Astrophysics Data System (ADS)
Añel, J. A.; Gimeno, L.; de La Torre, L.; Nieto, R.; Tesouro, M.; Ribera, P.; García, R.; Hernández, E.
2003-04-01
The use of indices has been traditionally one of the main tools to identify climatic change. Here we present a study of the interannual variability of parameters derived from radiosonde data to study climate change in the artic zone. Trends, oscillations and the relationship with the principal climate variability mode for this region ( Northern Annular Mode) have been studied. We calculate the indices from the Upper Air Digital Files of the National Climatic Data Center (CARDS). We chose for our work the radiosonde data of stations over the studied region, with a temporal coverage of 27 years (1973-1998).
Myers, J; Young, T; Galloway, M; Manyike, P; Tucker, T
2011-11-01
Anthropogenic climate change and anticipated adverse impacts on human health as outlined by the Intergovernmental Panel on Climate Change (IPCC) are taken as given. A conceptual model for thinking about the spectrum of climate-related health risks ranging from distal and infrastructural to proximal and behavioural and their relation to the burden of disease pattern typical of sub-Saharan Africa is provided. The model provides a tool for identifying modifiable risk factors with a view to future research, specifically into the performance of interventions to reduce the impact of climate change.
The novel use of climate information in water utility planning
NASA Astrophysics Data System (ADS)
Yates, D. N.
2016-12-01
Municipal water utilities have a long history of planning and yet their traditional use of climate information has been rather static in nature, using approaches such as 'safe-yield' to design their water infrastructure. New planning paradigms, such as triple-bottom-line approaches that integerate environemntal, social, and financial aspects of the water enterprise have led water utilies to use climate information in a much more rich and informative way. This presentation will describe examples of how climate climate information, hydrologic modeling, and water systems decision support tools are uniquely bleneded to help water utilties make informed decisions.
NASA Astrophysics Data System (ADS)
Andersson-Sköld, Yvonne; Suer, Pascal; Bergman, Ramona; Helgesson, Helena
2010-05-01
A decision support tool/method has been developed to systematically include sustainability at an early stage in planning issues. Sustainability was subdivided into human health, environmental impacts, resources, and social and economic impacts. Health, environmental and resources impacts were based on the Swedish environmental objectives, life cycle assessment (LCA) impact categories, and contaminated soil guidelines. The resulting impact indicators were climate change - global warming potential, large scale and local air quality, water and soil quality, landscape, energy, materials, wellbeing/welfare, direct financial costs, social economic aspects, and flexi-bility. The method offers an iterative discussion framework that is systematic, condensed and yet a simplistic way of describing consequences of climate change and related adaptation measures including economic, social and environmental aspects. Application of the tool to biofuel cultivation on contaminated soil indicated that traditional soil remediation may have higher social and economical benefits but be less suitable from a health, environment, and resources perspective. The tool has further been applied in municipalities on climate change impacts and adaptation measures. Re-sults from the application in tree municipalities will be presented: Gothenburg City, Lidköping and Arvika. In Gothenburg and Lidköping the major impact of climate change is increase in sea water level (North Sea and Lake Vänern respectively) combined with extreme weather conditions. According to regional climate change scenarios Arvika is located in one of the worst affected areas in Sweden with respect to increase of intensive rainfall and extreme flows. The adaptation measures investigated at the three locations include doing nothing, different constructions and planning. The results are based on previous risk identification investigations, flood and land slide maps and interviews with civil servants in the three municipalities.
Lynch, Abigail J.; Taylor, William W.; McCright, Aaron M.
2016-01-01
Decision support tools can aid decision making by systematically incorporating information, accounting for uncertainties, and facilitating evaluation between alternatives. Without user buy-in, however, decision support tools can fail to influence decision-making processes. We surveyed fishery researchers, managers, and fishers affiliated with the Lake Whitefish Coregonus clupeaformis fishery in the 1836 Treaty Waters of Lakes Huron, Michigan, and Superior to assess opinions of current and future management needs to identify barriers to, and opportunities for, developing a decision support tool based on Lake Whitefish recruitment projections with climate change. Approximately 64% of 39 respondents were satisfied with current management, and nearly 85% agreed that science was well integrated into management programs. Though decision support tools can facilitate science integration into management, respondents suggest that they face significant implementation barriers, including lack of political will to change management and perceived uncertainty in decision support outputs. Recommendations from this survey can inform development of decision support tools for fishery management in the Great Lakes and other regions.
The National Climate Change and Wildlife Science Center annual report for 2012
Varela-Acevedo, Elda; O'Malley, Robin
2013-01-01
Welcome to the inaugural edition of the U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center (NCCWSC) and the Department of the Interior (DOI) Climate Science Centers (CSCs) annual report. In 2008, Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS). The center was formed to respond to the demands of natural resource managers for rigorous scientific information and effective tools for assessing and responding to climate change. Located at the USGS National Headquarters in Reston, Va., the NCCWSC has invested more than $70 million in cutting-edge climate change research and, in response to Secretarial Order No. 3289,established and is managing eight regional Department of Interior (DOI) Climate Science Centers (CSCs). The mission of the NCCWSC is to provide natural resource managers with the tools and information they need to develop and execute management strategies that address the impacts of climate and other ongoing global changes on fish and wildlife and their habitats. The DOI CSCs are joint Federal-university partnerships that focus their scientific work on regional priorities identified by DOI Landscape Conservation Cooperatives (LCCs) as well as Federal, State, Tribal, and other resource managers. The CSCs provide access to a wide range of scientific capabilities through their network of university partners along with the USGS and other Federal agency scientists. The focus of the NCCWSC on multiregion and national priorities complements the regionally focused agendas of the CSCs.
NASA Astrophysics Data System (ADS)
Xiong, Wei; Skalský, Rastislav; Porter, Cheryl H.; Balkovič, Juraj; Jones, James W.; Yang, Di
2016-09-01
Understanding the interactions between agricultural production and climate is necessary for sound decision-making in climate policy. Gridded and high-resolution crop simulation has emerged as a useful tool for building this understanding. Large uncertainty exists in this utilization, obstructing its capacity as a tool to devise adaptation strategies. Increasing focus has been given to sources of uncertainties for climate scenarios, input-data, and model, but uncertainties due to model parameter or calibration are still unknown. Here, we use publicly available geographical data sets as input to the Environmental Policy Integrated Climate model (EPIC) for simulating global-gridded maize yield. Impacts of climate change are assessed up to the year 2099 under a climate scenario generated by HadEM2-ES under RCP 8.5. We apply five strategies by shifting one specific parameter in each simulation to calibrate the model and understand the effects of calibration. Regionalizing crop phenology or harvest index appears effective to calibrate the model for the globe, but using various values of phenology generates pronounced difference in estimated climate impact. However, projected impacts of climate change on global maize production are consistently negative regardless of the parameter being adjusted. Different values of model parameter result in a modest uncertainty at global level, with difference of the global yield change less than 30% by the 2080s. The uncertainty subjects to decrease if applying model calibration or input data quality control. Calibration has a larger effect at local scales, implying the possible types and locations for adaptation.
Options for national parks and reserves for adapting to climate change.
Baron, Jill S; Gunderson, Lance; Allen, Craig D; Fleishman, Erica; McKenzie, Donald; Meyerson, Laura A; Oropeza, Jill; Stephenson, Nate
2009-12-01
Past and present climate has shaped the valued ecosystems currently protected in parks and reserves, but future climate change will redefine these conditions. Continued conservation as climate changes will require thinking differently about resource management than we have in the past; we present some logical steps and tools for doing so. Three critical tenets underpin future management plans and activities: (1) climate patterns of the past will not be the climate patterns of the future; (2) climate defines the environment and influences future trajectories of the distributions of species and their habitats; (3) specific management actions may help increase the resilience of some natural resources, but fundamental changes in species and their environment may be inevitable. Science-based management will be necessary because past experience may not serve as a guide for novel future conditions. Identifying resources and processes at risk, defining thresholds and reference conditions, and establishing monitoring and assessment programs are among the types of scientific practices needed to support a broadened portfolio of management activities. In addition to the control and hedging management strategies commonly in use today, we recommend adaptive management wherever possible. Adaptive management increases our ability to address the multiple scales at which species and processes function, and increases the speed of knowledge transfer among scientists and managers. Scenario planning provides a broad forward-thinking framework from which the most appropriate management tools can be chosen. The scope of climate change effects will require a shared vision among regional partners. Preparing for and adapting to climate change is as much a cultural and intellectual challenge as an ecological challenge.
Options for national parks and reserves for adapting to climate change
Baron, Jill S.; Gunderson, Lance; Allen, Craig D.; Fleishman, Erica; McKenzie, Donald; Meyerson, Laura A.; Oropeza, Jill; Stephenson, Nathan L.
2009-01-01
Past and present climate has shaped the valued ecosystems currently protected in parks and reserves, but future climate change will redefine these conditions. Continued conservation as climate changes will require thinking differently about resource management than we have in the past; we present some logical steps and tools for doing so. Three critical tenets underpin future management plans and activities: (1) climate patterns of the past will not be the climate patterns of the future; (2) climate defines the environment and influences future trajectories of the distributions of species and their habitats; (3) specific management actions may help increase the resilience of some natural resources, but fundamental changes in species and their environment may be inevitable. Science-based management will be necessary because past experience may not serve as a guide for novel future conditions. Identifying resources and processes at risk, defining thresholds and reference conditions, and establishing monitoring and assessment programs are among the types of scientific practices needed to support a broadened portfolio of management activities. In addition to the control and hedging management strategies commonly in use today, we recommend adaptive management wherever possible. Adaptive management increases our ability to address the multiple scales at which species and processes function, and increases the speed of knowledge transfer among scientists and managers. Scenario planning provides a broad forward-thinking framework from which the most appropriate management tools can be chosen. The scope of climate change effects will require a shared vision among regional partners. Preparing for and adapting to climate change is as much a cultural and intellectual challenge as an ecological challenge.
Tool for obtaining projected future climate inputs for the WEPP and SWAT models
USDA-ARS?s Scientific Manuscript database
Climate change is an increasingly important issue affecting natural resources. Rising temperatures, reductions in snow cover, and variability in precipitation depths and intensities are altering the accepted normal approaches for predicting runoff, soil erosion, and chemical losses from upland areas...
Computing and Systems Applied in Support of Coordinated Energy, Environmental, and Climate Planning
This talk focuses on how Dr. Loughlin is applying Computing and Systems models, tools and methods to more fully understand the linkages among energy systems, environmental quality, and climate change. Dr. Loughlin will highlight recent and ongoing research activities, including: ...
Climate change and tools for collective action
As climate change alters the quality and quantity of water in local ecosystems, we will be faced with management challenges. Research experience in the St. Louis River Area of Concern would indicate that collective action is possible in response to the threat of degraded water qu...
GIS and crop simulation modelling applications in climate change research
USDA-ARS?s Scientific Manuscript database
The challenges that climate change presents humanity require an unprecedented ability to predict the responses of crops to environment and management. Geographic information systems (GIS) and crop simulation models are two powerful and highly complementary tools that are increasingly used for such p...
GHG Mitigation Options Database (GMOD) and Analysis Tools.
There is a growing consensus among scientists that the primary cause of climate change is anthropogenic greenhouse gas (GHG) emissions. Given the strengthening science behind the human influence on climate change, it will be necessary for the global community to use low-carbon te...
Near-Term Actions to Address Long-Term Climate Risk
NASA Astrophysics Data System (ADS)
Lempert, R. J.
2014-12-01
Addressing climate change requires effective long-term policy making, which occurs when reflecting on potential events decades or more in the future causes policy makers to choose near-term actions different than those they would otherwise pursue. Contrary to some expectations, policy makers do sometimes make such long-term decisions, but not as commonly and successfully as climate change may require. In recent years however, the new capabilities of analytic decision support tools, combined with improved understanding of cognitive and organizational behaviors, has significantly improved the methods available for organizations to manage longer-term climate risks. In particular, these tools allow decision makers to understand what near-term actions consistently contribute to achieving both short- and long-term societal goals, even in the face of deep uncertainty regarding the long-term future. This talk will describe applications of these approaches for infrastructure, water, and flood risk management planning, as well as studies of how near-term choices about policy architectures can affect long-term greenhouse gas emission reduction pathways.
Meteorological stations as a tool to teach on climate system sciences
NASA Astrophysics Data System (ADS)
Cerdà, Artemi; Bodí, Merche B.; Damián Ruiz-Sinoga, José
2010-05-01
Higher education has been focussed on teaching climate system theory. Meteorology and climatology student rarely visited a meteorological station. However, meteorological stations are the source of information for the climate system studies and they supply the key information for modelling. This paper shows how meteorological station is a key tool to introduce student to the study of climate and meteorology. The research stations of Montesa and El Teularet-Sierra de Enguera are being used for seven years to supply data to the students of Climatology, 1st year of the Degree in Geography at the University of Valencia. The results show that the students that used the raw data set were proud to use original data. Those students got higher qualifications and they choose also in the following year courses on climatology or Physical Geography. Then, the conclusions are that the use of meteorological stations is a positive contribution to the improvement of the knowledge of the students, and his compromise with the science and the environment.
NASA Astrophysics Data System (ADS)
Larson, E. K.; Li, J.; Zycherman, A.
2017-12-01
Integration of social science into climate and global change assessments is fundamental for improving understanding of the drivers, impacts and vulnerability of climate change, and the social, cultural and behavioral challenges related to climate change responses. This requires disciplinary and interdisciplinary knowledge as well as integrational and translational tools for linking this knowledge with the natural and physical sciences. The USGCRP's Social Science Coordinating Committee (SSCC) is tasked with this challenge and is working to integrate relevant social, economic and behavioral knowledge into processes like sustained assessments. This presentation will discuss outcomes from a recent SSCC workshop, "Social Science Perspectives on Climate Change" and their applications to sustained assessments. The workshop brought academic social scientists from four disciplines - anthropology, sociology, geography and archaeology - together with federal scientists and program managers to discuss three major research areas relevant to the USGCRP and climate assessments: (1) innovative tools, methods, and analyses to clarify the interactions of human and natural systems under climate change, (2) understanding of factors contributing to differences in social vulnerability between and within communities under climate change, and (3) social science perspectives on drivers of global climate change. These disciplines, collectively, emphasize the need to consider socio-cultural, political, economic, geographic, and historic factors, and their dynamic interactions, to understand climate change drivers, social vulnerability, and mitigation and adaptation responses. They also highlight the importance of mixed quantitative and qualitative methods to explain impacts, vulnerability, and responses at different time and spatial scales. This presentation will focus on major contributions of the social sciences to climate and global change research. We will discuss future directions for sustained assessments that integrate and reflect the social science understanding of the complex relationships between social and natural worlds in a changing climate, and factors that impact effective mitigation and adaptation strategies that address risks and vulnerabilities of climate change.
NASA Astrophysics Data System (ADS)
Okladnikov, Igor; Gordov, Evgeny; Titov, Alexander; Fazliev, Alexander
2017-04-01
Description and the first results of the Russian Science Foundation project "Virtual computational information environment for analysis, evaluation and prediction of the impacts of global climate change on the environment and climate of a selected region" is presented. The project is aimed at development of an Internet-accessible computation and information environment providing unskilled in numerical modelling and software design specialists, decision-makers and stakeholders with reliable and easy-used tools for in-depth statistical analysis of climatic characteristics, and instruments for detailed analysis, assessment and prediction of impacts of global climate change on the environment and climate of the targeted region. In the framework of the project, approaches of "cloud" processing and analysis of large geospatial datasets will be developed on the technical platform of the Russian leading institution involved in research of climate change and its consequences. Anticipated results will create a pathway for development and deployment of thematic international virtual research laboratory focused on interdisciplinary environmental studies. VRE under development will comprise best features and functionality of earlier developed information and computing system CLIMATE (http://climate.scert.ru/), which is widely used in Northern Eurasia environment studies. The Project includes several major directions of research listed below. 1. Preparation of geo-referenced data sets, describing the dynamics of the current and possible future climate and environmental changes in detail. 2. Improvement of methods of analysis of climate change. 3. Enhancing the functionality of the VRE prototype in order to create a convenient and reliable tool for the study of regional social, economic and political consequences of climate change. 4. Using the output of the first three tasks, compilation of the VRE prototype, its validation, preparation of applicable detailed description of climate change in Western Siberia, and dissemination of the Project results. Results of the first stage of the Project implementation are presented. This work is supported by the Russian Science Foundation grant No16-19-10257.
NASA Astrophysics Data System (ADS)
Pontius, J.; Duncan, J.
2017-12-01
Land managers are often faced with balancing management activities to accomplish a diversity of management objectives, in systems faced with many stress agents. Advances in ecosystem modeling provide a rich source of information to inform management. Coupled with advances in decision support techniques and computing capabilities, interactive tools are now accessible for a broad audience of stakeholders. Here we present one such tool designed to capture information on how climate change may impact forested ecosystems, and how that impact varies spatially across the landscape. This tool integrates empirical models of current and future forest structure and function in a structured decision framework that allows users to customize weights for multiple management objectives and visualize suitability outcomes across the landscape. Combined with climate projections, the resulting products allow stakeholders to compare the relative success of various management objectives on a pixel by pixel basis and identify locations where management outcomes are most likely to be met. Here we demonstrate this approach with the integration of several of the preliminary models developed to map species distributions, sugar maple health, forest fragmentation risk and hemlock vulnerability to hemlock woolly adelgid under current and future climate scenarios. We compare three use case studies with objective weightings designed to: 1) Identify key parcels for sugarbush conservation and management, 2) Target state lands that may serve as hemlock refugia from hemlock woolly adelgid induced mortality, and 3) Examine how climate change may alter the success of managing for both sugarbush and hemlock across privately owned lands. This tool highlights the value of flexible models that can be easily run with customized weightings in a dynamic, integrated assessment that allows users to hone in on their potentially complex management objectives, and to visualize and prioritize locations across the landscape. It also demonstrates the importance of including climate considerations for long-term management. This merging of scientific knowledge with the diversity of stakeholder needs is an important step towards using science to inform management and policy decisions.
Tools for Interdisciplinary Data Assimilation and Sharing in Support of Hydrologic Science
NASA Astrophysics Data System (ADS)
Blodgett, D. L.; Walker, J.; Suftin, I.; Warren, M.; Kunicki, T.
2013-12-01
Information consumed and produced in hydrologic analyses is interdisciplinary and massive. These factors put a heavy information management burden on the hydrologic science community. The U.S. Geological Survey (USGS) Office of Water Information Center for Integrated Data Analytics (CIDA) seeks to assist hydrologic science investigators with all-components of their scientific data management life cycle. Ongoing data publication and software development projects will be presented demonstrating publically available data access services and manipulation tools being developed with support from two Department of the Interior initiatives. The USGS-led National Water Census seeks to provide both data and tools in support of nationally consistent water availability estimates. Newly available data include national coverages of radar-indicated precipitation, actual evapotranspiration, water use estimates aggregated by county, and South East region estimates of streamflow for 12-digit hydrologic unit code watersheds. Web services making these data available and applications to access them will be demonstrated. Web-available processing services able to provide numerous streamflow statistics for any USGS daily flow record or model result time series and other National Water Census processing tools will also be demonstrated. The National Climate Change and Wildlife Science Center is a USGS center leading DOI-funded academic global change adaptation research. It has a mission goal to ensure data used and produced by funded projects is available via web services and tools that streamline data management tasks in interdisciplinary science. For example, collections of downscaled climate projections, typically large collections of files that must be downloaded to be accessed, are being published using web services that allow access to the entire dataset via simple web-service requests and numerous processing tools. Recent progress on this front includes, data web services for Climate Model Intercomparison Phase 5 based downscaled climate projections, EPA's Integrated Climate and Land Use Scenarios projections of population and land cover metrics, and MODIS-derived land cover parameters from NASA's Land Processes Distributed Active Archive Center. These new services and ways to discover others will be presented through demonstration of a recently open-sourced project from a web-application or scripted workflow. Development and public deployment of server-based processing tools to subset and summarize these and other data is ongoing at the CIDA with partner groups such as 52 Degrees North and Unidata. The latest progress on subsetting, spatial summarization to areas of interest, and temporal summarization via common-statistical methods will be presented.