Nate Blair | NREL

Science.gov Websites

Freeman, J., J. Whitmore, N. Blair, and A.P. Dobos. 2014. Validation of Multiple Tools for Flat Plate -61497. Blair, N., A. Dobos, and N. Sather. 2012. Case Studies Comparing System Advisor Model (SAM -54676. Lopez, A., B. Roberts, D. Heimiller, N. Blair, and G. Porro. 2012. U.S. Renewable Energy

MMAB Mission Statement

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services. Marine Modeling and Analysis Branch Logo Click here to go to the EMC/MMAB homepage MMAB Mission Statement The Marine Modeling and Analysis Branch is part of the Environmental Modeling Center, which is Environmental Prediction Environmental Modeling Center Marine Modeling and Analysis Branch 5830 University

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post / VISION | About EMC EMC > Mesoscale Modeling > IMPLEMENTATION INFO Home Mission Models R & D ; Extratropical Cyclone Tracks & Verification Implementation Info FAQ Disclaimer More Info MESOSCALE MODELING

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post / VISION | About EMC EMC > Mesoscale Modeling > Home Mission Models R & D Collaborators Cyclone Tracks & Verification Implementation Info FAQ Disclaimer More Info MESOSCALE MODELING JUMP TO

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post / VISION | About EMC EMC > Mesoscale Modeling > CALENDAR Home Mission Models R & D Collaborators Cyclone Tracks & Verification Implementation Info FAQ Disclaimer More Info MESOSCALE MODELING CALENDAR

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post / VISION | About EMC EMC > Mesoscale Modeling > R & D Home Mission Models R & D Collaborators Cyclone Tracks & Verification Implementation Info FAQ Disclaimer More Info MESOSCALE MODELING Air

A validation of ground ambulance pre-hospital times modeled using geographic information systems

PubMed Central

2012-01-01

Background Evaluating geographic access to health services often requires determining the patient travel time to a specified service. For urgent care, many research studies have modeled patient pre-hospital time by ground emergency medical services (EMS) using geographic information systems (GIS). The purpose of this study was to determine if the modeling assumptions proposed through prior United States (US) studies are valid in a non-US context, and to use the resulting information to provide revised recommendations for modeling travel time using GIS in the absence of actual EMS trip data. Methods The study sample contained all emergency adult patient trips within the Calgary area for 2006. Each record included four components of pre-hospital time (activation, response, on-scene and transport interval). The actual activation and on-scene intervals were compared with those used in published models. The transport interval was calculated within GIS using the Network Analyst extension of Esri ArcGIS 10.0 and the response interval was derived using previously established methods. These GIS derived transport and response intervals were compared with the actual times using descriptive methods. We used the information acquired through the analysis of the EMS trip data to create an updated model that could be used to estimate travel time in the absence of actual EMS trip records. Results There were 29,765 complete EMS records for scene locations inside the city and 529 outside. The actual median on-scene intervals were longer than the average previously reported by 7–8 minutes. Actual EMS pre-hospital times across our study area were significantly higher than the estimated times modeled using GIS and the original travel time assumptions. Our updated model, although still underestimating the total pre-hospital time, more accurately represents the true pre-hospital time in our study area. Conclusions The widespread use of generalized EMS pre-hospital time assumptions based on US data may not be appropriate in a non-US context. The preference for researchers should be to use actual EMS trip records from the proposed research study area. In the absence of EMS trip data researchers should determine which modeling assumptions more accurately reflect the EMS protocols across their study area. PMID:23033894

Geothermal Impact Analysis | Geothermal Technologies | NREL

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on potential geothermal growth scenarios, jobs and economic impacts, clean energy manufacturing geothermal resources. We: Perform resource analysis Develop techno-economic models Quantify environmental growth scenarios across multiple market sectors. Learn more about the GeoVision Study. Jobs and Economic

Mike Kempe | NREL

Science.gov Websites

cells and modules. His work concerns primarily modeling and measuring moisture ingress into PV modules and studying the effect of moisture on polymer adhesion, device performance, and component corrosion Photovoltaic Modules." Solar Energy Materials and Solar Cells, 90: 2720-2738. View all NREL publications

Tian Tian | NREL

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Tian Tian Photo of Tian Tian Tian Tian Researcher III-Market Research Analysis Tian.Tian@nrel.gov Research Interests Renewable energy regulation Renewable energy business and financing models in various Muljadi, Yincheng Zhang, Mackay Miller, Weisheng Wang, and Jing Wang. "Comparative Study of Standards

MMAB FAQs

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Global Climate & Weather Modeling Mesoscale Modeling Marine Modeling and Analysis Contact Us Website Weather Service NWS logo - Click to go to the NWS homepage Environmental Modeling Center Home News for Environmental Prediction Environmental Modeling Center W/NP 21, NCWCP 5830 Unversity Research

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Products People GLOBAL CLIMATE & WEATHER MODELING Personnel Jordan Alpert Email Website Dave Behringer Prediction Environmental Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830

Systems Engineering Models and Tools | Wind | NREL

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(tm)) that provides wind turbine and plant engineering and cost models for holistic system analysis turbine/component models and wind plant analysis models that the systems engineering team produces. If you integrated modeling of wind turbines and plants. It provides guidance for overall wind turbine and plant

Regional Energy Deployment System (ReEDS) | Energy Analysis | NREL

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System Model The Regional Energy Deployment System (ReEDS) model helps the U.S. Department of model. Visualize Future Capacity Expansion of Renewable Energy Watch this video of the ReEDS model audio. Model Documentation ReEDS Model Documentation: Version 2016 ReEDS Map with Numbered Regions

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Contacts Change Log Events Calendar Numerical Forecast Systems NCEP Model Analysis and Guidance Page [< Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court

Electric Sector Integration | Energy Analysis | NREL

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investigates the potential impacts of expanding renewable technology deployment on grid operations and Electric System Flexibility and Storage Impacts on Conventional Generators Transmission Infrastructure Generation Our grid integration studies use state-of-the-art modeling and analysis to evaluate the impacts of

Does Implementation of Biomathematical Models Mitigate Fatigue and Fatigue-related Risks in Emergency Medical Services Operations? A Systematic Review.

PubMed

James, Francine O; Waggoner, Lauren B; Weiss, Patricia M; Patterson, P Daniel; Higgins, J Stephen; Lang, Eddy S; Van Dongen, Hans P A

2018-02-15

Work schedules like those of Emergency Medical Services (EMS) personnel have been associated with increased risk of fatigue-related impairment. Biomathematical modeling is a means of objectively estimating the potential impacts of fatigue on performance, which may be used in the mitigation of fatigue-related safety risks. In the context of EMS operations, our objective was to assess the evidence in the literature regarding the effectiveness of using biomathematical models to help mitigate fatigue and fatigue-related risks. A systematic review of the evidence evaluating the use of biomathematical models to manage fatigue in EMS personnel or similar shift workers was performed. Procedures proposed by the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology were used to summarize and rate the certainty in the evidence. Potential bias attached to retained studies was documented using the Cochrane Collaboration's Risk of Bias tool for experimental studies. The literature search strategy, which focused on both EMS personnel and non-EMS shift workers, yielded n = 2,777 unique records. One paper, which investigated non-EMS shift workers, met inclusion criteria. As part of a larger effort, managers and dispatchers of a trucking operation were provided with monthly biomathematical model analyses of predicted fatigue in the driver workforce, and educated on how they could reduce predicted fatigue by means of schedule adjustments. The intervention showed a significant reduction in the number and cost of vehicular accidents during the period in which biomathematical modeling was used. The overall GRADE assessment of evidence quality was very low due to risk of bias, indirectness, imprecision, and publication bias. This systematic review identified no studies that investigated the impact of biomathematical models in EMS operations. Findings from one study of non-EMS shift workers were favorable toward use of biomathematical models as a fatigue mitigation scheduling aid, albeit with very low quality of evidence pertaining to EMS operations. We propose three focus areas of research priorities that, if addressed, could help better elucidate the utility and impact of biomathematical models as a fatigue-mitigation tool in the EMS environment.

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post / National Weather Service National Centers for Environmental Prediction Environmental Modeling Center NOAA

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Weather Service National Centers for Environmental Prediction Environmental Modeling Center NOAA Center

Load Modeling and Forecasting | Grid Modernization | NREL

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Load Modeling and Forecasting Load Modeling and Forecasting NREL's work in load modeling is focused resources (such as rooftop photovoltaic systems) and changing customer energy use profiles, new load models distribution system. In addition, NREL researchers are developing load models for individual appliances and

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Environmental Prediction Environmental Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Centers for Environmental Prediction Environmental Modeling Center NOAA Center for Weather and Climate

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Environmental Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research

Marine and Hydrokinetic Research | Water Power | NREL

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. Resource Characterization and Maps NREL develops measurement systems, simulation tools, and web-based models and tools to evaluate the economic potential of power-generating devices for all technology Acceleration NREL analysts study the potential impacts that developing a robust MHK market could have on

NCEP SST Analysis

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Branches Global Climate & Weather Modeling Mesoscale Modeling Marine Modeling and Analysis Contact EMC Weather Service NWS logo - Click to go to the NWS homepage Environmental Modeling Center Home News Organization Search Go Search Polar Go MMAB SST Analysis Main page About MMAB Our Mission Our Personnel EMC

Alternative Fuel Vehicles: What Do the Drivers Say?

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); dedicated compressed natural gas (CNG) models; CNG after-market conversions; flexible-fuel methanol models ; flexible-fuel ethanol models, and gasoline models. Overall, drivers reported positive experiences, with primary concerns being lack of range (particularly for the CNG models) and lack of convenient fueling

A general probabilistic model for group independent component analysis and its estimation methods

PubMed Central

Guo, Ying

2012-01-01

SUMMARY Independent component analysis (ICA) has become an important tool for analyzing data from functional magnetic resonance imaging (fMRI) studies. ICA has been successfully applied to single-subject fMRI data. The extension of ICA to group inferences in neuroimaging studies, however, is challenging due to the unavailability of a pre-specified group design matrix and the uncertainty in between-subjects variability in fMRI data. We present a general probabilistic ICA (PICA) model that can accommodate varying group structures of multi-subject spatio-temporal processes. An advantage of the proposed model is that it can flexibly model various types of group structures in different underlying neural source signals and under different experimental conditions in fMRI studies. A maximum likelihood method is used for estimating this general group ICA model. We propose two EM algorithms to obtain the ML estimates. The first method is an exact EM algorithm which provides an exact E-step and an explicit noniterative M-step. The second method is an variational approximation EM algorithm which is computationally more efficient than the exact EM. In simulation studies, we first compare the performance of the proposed general group PICA model and the existing probabilistic group ICA approach. We then compare the two proposed EM algorithms and show the variational approximation EM achieves comparable accuracy to the exact EM with significantly less computation time. An fMRI data example is used to illustrate application of the proposed methods. PMID:21517789

Working Toward the Very Low Energy Consumption Building of the Future |

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systems engineering methods that have transformed other industries, including the aircraft and automobile Merced and United Technologies are studying the use of sensors and occupancy estimating methods to , occupancy dynamics models, and energy control methods. The team will test whether this technology can

Energy Systems Integration News | Energy Systems Integration Facility |

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Renewable Generation Integration Study (ERGIS), looks ahead to the year 2026 and examines how the Eastern accurately modeling the entire system at five-minute intervals for an entire year has never even been Integrated Network Testbed for Energy Grid Research and Technology Experimentation (INTEGRATE) project, up to

Wind Energy Modeling and Simulation | Wind | NREL

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Wind Energy Modeling and Simulation Wind Turbine Modeling and Simulation Wind turbines are unique wind turbines. It enables the analysis of a range of wind turbine configurations, including: Two- or (SOWFA) employs computational fluid dynamics to allow users to investigate wind turbine and wind power

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post / National Weather Service National Centers for Environmental Prediction Environmental Modeling Center NOAA

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Weather Service National Centers for Environmental Prediction Environmental Modeling Center NOAA Center

Geospatial Data Science Modeling | Geospatial Data Science | NREL

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Geospatial Data Science Modeling Geospatial Data Science Modeling NREL uses geospatial data science modeling to develop innovative models and tools for energy professionals, project developers, and consumers . Photo of researchers inspecting maps on a large display. Geospatial modeling at NREL often produces the

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court

General Algebraic Modeling System Tutorial | High-Performance Computing |

Science.gov Websites

power generation from two different fuels. The goal is to minimize the cost for one of the fuels while Here's a basic tutorial for modeling optimization problems with the General Algebraic Modeling System (GAMS). Overview The GAMS (General Algebraic Modeling System) package is essentially a compiler for a

Solar Energy Evolution and Diffusion Studies Webinars | Solar Research |

Science.gov Websites

video Download the transcript Agent-based Models of How Segregation and Peer Effects Influence Solar PV to estimate the relative influence of peer effects, cognitive factors, and economic factors in solar

Wind Sensing and Modeling | Grid Modernization | NREL

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Simulation at the turbine, wind plant, and regional scales for resource prospecting, resource assessment Sensing and Modeling Wind Sensing and Modeling NREL's wind sensing and modeling work supports the deployment of wind-based generation technologies for all stages of a plant's life, from resource estimates to

EMC: Mission Statement

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EMC: Mission Statement Mesoscale Modeling Branch Mission Statement The Mesoscale Modeling Branch , advanced numerical techniques applied to mesoscale modeling problems, parameterization of mesoscale new observing systems. The Mesoscale Modeling Branch publishes research results in various media for

NREL and General Motors Announce R&D Partnership to Reduce Cost of

Science.gov Websites

modeling studies to a multiyear National Fuel Cell Electric Vehicle Learning Demonstration. Data from the Learning Demonstration were sent to the National Fuel Cell Technology Evaluation Center (NFCTEC), a data

The GFS Atmospheric Model description

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model has only one type of cloud cover represented by C. In the tropics the cloudiness is primarily due mainly through grid-scale condensation. The fractional cloud cover C is available at all model levels , 1996: Parameterizations for the absorption of solar radiation by water vapor and ozone. J. Atmos. Sci

About Regional Energy Deployment System Model-ReEDS | Regional Energy

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Deployment System Model | Energy Analysis | NREL About Regional Energy Deployment System Model -ReEDS About Regional Energy Deployment System Model-ReEDS The Regional Energy Deployment System (ReEDS ) is a long-term, capacity-expansion model for the deployment of electric power generation technologies

Finding elementary flux modes in metabolic networks based on flux balance analysis and flux coupling analysis: application to the analysis of Escherichia coli metabolism.

PubMed

Tabe-Bordbar, Shayan; Marashi, Sayed-Amir

2013-12-01

Elementary modes (EMs) are steady-state metabolic flux vectors with minimal set of active reactions. Each EM corresponds to a metabolic pathway. Therefore, studying EMs is helpful for analyzing the production of biotechnologically important metabolites. However, memory requirements for computing EMs may hamper their applicability as, in most genome-scale metabolic models, no EM can be computed due to running out of memory. In this study, we present a method for computing randomly sampled EMs. In this approach, a network reduction algorithm is used for EM computation, which is based on flux balance-based methods. We show that this approach can be used to recover the EMs in the medium- and genome-scale metabolic network models, while the EMs are sampled in an unbiased way. The applicability of such results is shown by computing “estimated” control-effective flux values in Escherichia coli metabolic network.

Systems Engineering 2010 Workshop | Wind | NREL

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turbine aeroelastic model, inflow turbulence model, wind plan layout and interactions, resource model, O on the approach to wind turbine design, choice, and deployment 2:40 Break Computer Science perspective) International Laboratories 3:20 Bernard Bulder, ECN Integral Wind Turbine Design with Focus-6 3

Model Documentation of Base Case Data | Regional Energy Deployment System

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Model | Energy Analysis | NREL Documentation of Base Case Data Model Documentation of Base Case base case of the model. The base case was developed simply as a point of departure for other analyses Base Case derives many of its inputs from the Energy Information Administration's (EIA's) Annual Energy

Offshore Wind Resource Characterization | Wind | NREL

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identify critical data needed. Remote Sensing and Modeling Photo of the SeaZephIR Prototype at sea. 2009 techniques such as remote sensing and modeling to provide data on design conditions. Research includes comparing the data provided by remote sensing devices and models to data collected by traditional methods

Tools for Model Building and Optimization into Near-Atomic Resolution Electron Cryo-Microscopy Density Maps.

PubMed

DiMaio, F; Chiu, W

2016-01-01

Electron cryo-microscopy (cryoEM) has advanced dramatically to become a viable tool for high-resolution structural biology research. The ultimate outcome of a cryoEM study is an atomic model of a macromolecule or its complex with interacting partners. This chapter describes a variety of algorithms and software to build a de novo model based on the cryoEM 3D density map, to optimize the model with the best stereochemistry restraints and finally to validate the model with proper protocols. The full process of atomic structure determination from a cryoEM map is described. The tools outlined in this chapter should prove extremely valuable in revealing atomic interactions guided by cryoEM data. © 2016 Elsevier Inc. All rights reserved.

A Fast EM Algorithm for Fitting Joint Models of a Binary Response and Multiple Longitudinal Covariates Subject to Detection Limits

PubMed Central

Bernhardt, Paul W.; Zhang, Daowen; Wang, Huixia Judy

2014-01-01

Joint modeling techniques have become a popular strategy for studying the association between a response and one or more longitudinal covariates. Motivated by the GenIMS study, where it is of interest to model the event of survival using censored longitudinal biomarkers, a joint model is proposed for describing the relationship between a binary outcome and multiple longitudinal covariates subject to detection limits. A fast, approximate EM algorithm is developed that reduces the dimension of integration in the E-step of the algorithm to one, regardless of the number of random effects in the joint model. Numerical studies demonstrate that the proposed approximate EM algorithm leads to satisfactory parameter and variance estimates in situations with and without censoring on the longitudinal covariates. The approximate EM algorithm is applied to analyze the GenIMS data set. PMID:25598564

About the Atlantic RTOFS

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Quadratic bottom friction coefficient: 0.003 Bottom boundary layer thickness: 10 m EMC/MMAB Information . Provide seamless boundary and initial conditions to regional ocean physical and biogeochemical models RTOFS. Their report is available here (pdf). Model Configuration The dynamical model is HYCOM. The model

Wind Field Extractions from SAR Sentinel-1 Images Using Electromagnetic Models

NASA Astrophysics Data System (ADS)

La, Tran Vu; Khenchaf, Ali; Comblet, Fabrice; Nahum, Carole

2016-08-01

Among available wind sources, i.e. measured data, numeric weather models, the retrieval of wind vectors from Synthetic Aperture Radar (SAR) data / images is particularly preferred due to a lot of SAR systems (available data in most meteorological conditions, revisit mode, high resolution, etc.). For this purpose, the retrieval of wind vectors is principally based on the empirical (EP) models, e.g. CMOD series in C-band. Little studies have been reported about the use of the electromagnetic (EM) models for wind vector retrieval, since it is quite complicated to invert. However, the EM models can be applied for most cases of polarization, frequency and wind regime. In order to evaluate the advantages and limits of the EM models for wind vector retrieval, we compare in this study estimated results by the EM and EP models for both cases of polarization (vertical-vertical, or VV-pol and horizontal- horizontal, or HH-pol).

Presentations - Lande, Lauren and others, 2015 | Alaska Division of

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Details Title: A petrological model for emplacement of the ultramafic Ni-Cu-PGE Alpha complex, eastern , Newberry, R.J., and Twelker, Evan, 2015, A petrological model for emplacement of the ultramafic Ni-Cu-PGE Sheets Maps & Other Oversized Sheets Sheet 1 A petrological model for emplacement of the ultramafic

National Centers for Environmental Prediction

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/ VISION | About EMC EMC > RAP, HRRR > Home Operational Products Experimental Data Verification Model Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post

Glossary - NOAA's National Weather Service

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Organization Search NWS All NOAA Go Local forecast by "City, St" Search by city. Press enter or Text Bulletins By State By Message Type National Forecast Models Numerical Models Statistical Models

2D hybrid analysis: Approach for building three-dimensional atomic model by electron microscopy image matching.

PubMed

Matsumoto, Atsushi; Miyazaki, Naoyuki; Takagi, Junichi; Iwasaki, Kenji

2017-03-23

In this study, we develop an approach termed "2D hybrid analysis" for building atomic models by image matching from electron microscopy (EM) images of biological molecules. The key advantage is that it is applicable to flexible molecules, which are difficult to analyze by 3DEM approach. In the proposed approach, first, a lot of atomic models with different conformations are built by computer simulation. Then, simulated EM images are built from each atomic model. Finally, they are compared with the experimental EM image. Two kinds of models are used as simulated EM images: the negative stain model and the simple projection model. Although the former is more realistic, the latter is adopted to perform faster computations. The use of the negative stain model enables decomposition of the averaged EM images into multiple projection images, each of which originated from a different conformation or orientation. We apply this approach to the EM images of integrin to obtain the distribution of the conformations, from which the pathway of the conformational change of the protein is deduced.

NREL: Renewable Resource Data Center - Geothermal Resource Models and Tools

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allow users to determine locations that are favorable to geothermal energy development. List of software Models and Tools The Renewable Resource Data Center (RReDC) features the following geothermal models and tools. Geothermal Prospector The Geothermal Prospector tool provides the information needed to

NREL: Renewable Resource Data Center - Biomass Resource Models and Tools

Science.gov Websites

Models and Tools The Renewable Resource Data Center (RReDC) features the following biomass models Models & Tools Publications Related Links Geothermal Resource Information Solar Resource Information

NOAA's weather forecasts go hyper-local with next-generation weather

Science.gov Websites

model NOAA HOME WEATHER OCEANS FISHERIES CHARTING SATELLITES CLIMATE RESEARCH COASTS CAREERS with next-generation weather model New model will help forecasters predict a storm's path, timing and intensity better than ever September 30, 2014 This is a comparison of two weather forecast models looking

Quantifying Aerial Concentrations of Maize Pollen in the Atmospheric Surface Layer Using Remote-Piloted Airplanes and Lagrangian Stochastic Modeling

NASA Astrophysics Data System (ADS)

Aylor, Donald E.; Boehm, Matthew T.; Shields, Elson J.

2006-07-01

The extensive adoption of genetically modified crops has led to a need to understand better the dispersal of pollen in the atmosphere because of the potential for unwanted movement of genetic traits via pollen flow in the environment. The aerial dispersal of maize pollen was studied by comparing the results of a Lagrangian stochastic (LS) model with pollen concentration measurements made over cornfields using a combination of tower-based rotorod samplers and airborne radio-controlled remote-piloted vehicles (RPVs) outfitted with remotely operated pollen samplers. The comparison between model and measurements was conducted in two steps. In the first step, the LS model was used in combination with the rotorod samplers to estimate the pollen release rate Q for each sampling period. In the second step, a modeled value for the concentration Cmodel, corresponding to each RPV measured value Cmeasure, was calculated by simulating the RPV flight path through the LS model pollen plume corresponding to the atmospheric conditions, field geometry, wind direction, and source strength. The geometric mean and geometric standard deviation of the ratio Cmodel/Cmeasure over all of the sampling periods, except those determined to be upwind of the field, were 1.42 and 4.53, respectively, and the lognormal distribution corresponding to these values was found to fit closely the PDF of Cmodel/Cmeasure. Model output was sensitive to the turbulence parameters, with a factor-of-100 difference in the average value of Cmodel over the range of values encountered during the experiment. In comparison with this large potential variability, it is concluded that the average factor of 1.4 between Cmodel and Cmeasure found here indicates that the LS model is capable of accurately predicting, on average, concentrations over a range of atmospheric conditions.

Mark R. Nimlos | NREL

Science.gov Websites

, reaction kinetics, computational modeling, photochemistry, and molecular spectroscopy. Nimlos has served as Chemical reaction energetics and kinetics Biomass pyrolysis and gasification Heterogeneous catalysis in zeolites Quantum modeling and kinetic modeling of reaction Molecular dynamics modeling

JEDI Natural Gas Model | Jobs and Economic Development Impact Models | NREL

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Natural Gas Model JEDI Natural Gas Model The Jobs and Economic Development Impacts (JEDI) Natural Gas model allows users to estimate economic development impacts from natural gas power generation -specific data should be used to obtain the best estimate of economic development impacts. This model has

BatPaC - Battery Performance and Cost model - Home

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) model, represents the only public domain model that captures the interplay between design and cost of Li Contact Us BatPaC: A Lithium-Ion Battery Performance and Cost Model for Electric-Drive Vehicles The recent within the battery directly affects the end energy density and cost of the integrated battery pack. The

SMART-DS: Synthetic Models for Advanced, Realistic Testing: Distribution

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statistical summary of the U.S. distribution systems World-class, high spatial/temporal resolution of solar Systems and Scenarios | Grid Modernization | NREL SMART-DS: Synthetic Models for Advanced , Realistic Testing: Distribution Systems and Scenarios SMART-DS: Synthetic Models for Advanced, Realistic

National Centers for Environmental Prediction

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Organization Search Enter text Search Navigation Bar End Cap Search EMC Go Branches Global Climate and Weather Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Configuration Collaborators Documentation and Code FAQ Operational Change Log Parallel Experiment Change Log

National Centers for Environmental Prediction

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Organization Search Enter text Search Navigation Bar End Cap Search EMC Go Branches Global Climate and Weather Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Collaborators Documentation and Code FAQ Operational Change Log Parallel Experiment Change Log Contacts

Janine Freeman | NREL

Science.gov Websites

investigator for the project. Her expertise lies in photovoltaic and wind power modeling, as well as Data Directly in Photovoltaic Modeling: Methodology and Validation. NREL/CP-6A20-66465, National . Dobos. 2014. Validation of Multiple Tools for Flat Plate Photovoltaic Modeling Against Measured Data

Project Development Model | Integrated Energy Solutions | NREL

Science.gov Websites

. The five elements of project fundamentals are: Baseline: Analyze the current situation for the site . The two-phase iterative model includes elements in project fundamentals and project development based State and Local Energy Data (SLED) tool, developed by NREL for the U.S. Department of Energy, to get

NREL Leads Wind Farm Modeling Research - Continuum Magazine | NREL

Science.gov Websites

ten 2-MW Bonus wind turbines. Photo provided by HC Sorensen, Middelgrunden Wind Turbine Cooperative ) has created complex computer modeling tools to improve wind turbine design and overall wind farm activity surrounding a multi-megawatt wind turbine. In addition to its work with Doppler LIDAR, the

@NWTC Newsletter: Summer 2014 | Wind | NREL

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, Developmental Role in Major Wind Journal Boosting Wind Plant Power Output by 4%-5% through Coordinated Turbine . Part 2: Wind Farm Wake Models New Framework Transforms FAST Wind Turbine Modeling Tool (Fact Sheet ) Sensitivity Analysis of Wind Plant Performance to Key Turbine Design Parameters: A Systems Engineering

JEDI Publications | Jobs and Economic Development Impact Models | NREL

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use of, or sometimes a discussion of, the JEDI models and their application to economic impact model. 2015 JEDI: Jobs and Economic Development Impact Model (Factsheet). 2015. NREL/FS-5000-64129 Economic Development Impact (JEDI) User Reference Guide: Fast Pyrolysis Biorefinery Model. NREL/TP-6A20

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post missed NDAS cycles since 1 Apr 1995 Log of NAM model code changes Log of NAM model test runs Problems and Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author: EMC Webmaster Page

JEDI Wind Models | Jobs and Economic Development Impact Models | NREL

Science.gov Websites

Wind Models JEDI Wind Models The Jobs and Economic Development Impacts (JEDI) Wind model allows the user to estimate economic development impacts from wind power generation projects. JEDI Wind has default information that can be used to run a generic impacts analysis assuming wind industry averages

Vehicle Thermal Management Models and Tools | Transportation Research |

Science.gov Websites

NREL Models and Tools Vehicle Thermal Management Models and Tools The National Renewable Energy Laboratory's (NREL's) vehicle thermal management modeling tools allow researchers to assess the trade-offs and calculate the potential benefits of thermal design options. image of three models of semi truck cabs. Truck

Distributed Generation Market Demand Model | NREL

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Demand Model The Distributed Generation Market Demand (dGen) model simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the dGen model can help develop deployment forecasts for distributed resources, including sensitivity to

Amy Robertson | NREL

Science.gov Websites

validation, and data analysis. At NREL, Amy specializes in the modeling of offshore wind system dynamics. She Amy.Robertson@nrel.gov | 303-384-7157 Amy's expertise is in structural dynamics modeling, verification and of offshore wind modeling tools. Prior to joining NREL, Amy worked as an independent consultant for

Energy Systems Integration News | Energy Systems Integration Facility |

Science.gov Websites

capabilities, and new methodologies that allowed NREL to model operations of the Eastern Interconnection at Analyst Power Systems Modeling Researcher Project Manager Power Systems Engineering Center Research Engineer Power Systems Modeling and Control Get the full list of job postings and learn more about working

Economic and Power System Modeling and Analysis | Water Power | NREL

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Economic and Power System Modeling and Analysis Economic and Power System Modeling and Analysis technologies, their possible deployment scenarios, and the economic impacts of this deployment. As a research approaches used to estimate direct and indirect economic impacts of offshore renewable energy projects

Projected Climate Impacts to South African Maize and Wheat Production in 2055: A Comparison of Empirical and Mechanistic Modeling Approaches

NASA Technical Reports Server (NTRS)

Estes, Lyndon D.; Beukes, Hein; Bradley, Bethany A.; Debats, Stephanie R.; Oppenheimer, Michael; Ruane, Alex C.; Schulze, Roland; Tadross, Mark

2013-01-01

Crop model-specific biases are a key uncertainty affecting our understanding of climate change impacts to agriculture. There is increasing research focus on intermodel variation, but comparisons between mechanistic (MMs) and empirical models (EMs) are rare despite both being used widely in this field. We combined MMs and EMs to project future (2055) changes in the potential distribution (suitability) and productivity of maize and spring wheat in South Africa under 18 downscaled climate scenarios (9 models run under 2 emissions scenarios). EMs projected larger yield losses or smaller gains than MMs. The EMs' median-projected maize and wheat yield changes were 3.6% and 6.2%, respectively, compared to 6.5% and 15.2% for the MM. The EM projected a 10% reduction in the potential maize growing area, where the MM projected a 9% gain. Both models showed increases in the potential spring wheat production region (EM = 48%, MM = 20%), but these results were more equivocal because both models (particularly the EM) substantially overestimated the extent of current suitability. The substantial water-use efficiency gains simulated by the MMs under elevated CO2 accounted for much of the EMMM difference, but EMs may have more accurately represented crop temperature sensitivities. Our results align with earlier studies showing that EMs may show larger climate change losses than MMs. Crop forecasting efforts should expand to include EMMM comparisons to provide a fuller picture of crop-climate response uncertainties.

Model Capabilities | Regional Energy Deployment System Model | Energy

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representation of those effects throughout the scenario. Because those effects are highly non-linear and other models, limited foresight, price penalties for rapid growth, and other non-linear effects

National Centers for Environmental Prediction

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Organization Search Enter text Search Navigation Bar End Cap Search EMC Go Branches Global Climate and Weather Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Model Configuration Collaborators Documentation and Code FAQ Operational Change Log Parallel Experiment

National Centers for Environmental Prediction

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Organization Search Enter text Search Navigation Bar End Cap Search EMC Go Branches Global Climate and Weather Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Products People GLOBAL CLIMATE & WEATHER MODELING Global Forecast System (GFS) products - Please see

Interpreting JEDI Results | Jobs and Economic Development Impact Models |

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NREL Interpreting JEDI Results Interpreting JEDI Results The Jobs and Economic Development Impact (JEDI) models estimate the number of jobs and economic impacts associated with power generation Economic activity in input-output models is typically assessed in three categories. NREL's JEDI models

NGA West 2 | Pacific Earthquake Engineering Research Center

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, multi-year research program to improve Next Generation Attenuation models for active tectonic regions earthquake engineering, including modeling of directivity and directionality; verification of NGA-West models epistemic uncertainty; and evaluation of soil amplification factors in NGA models versus NEHRP site factors

Model Applications | Distributed Generation Market Demand Model | NREL

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. Image of a chart showing annual installed capacity (GWDC) by 2015-2050 Enlarge image Projected national annual DGPV deployment for two hypothetical carbon fees as compared to reference trajectory. National statewide installed capacity (MW) by 2016-2021. Enlarge image The dSolar model was used to assist the Maine

National Centers for Environmental Prediction

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/ VISION | About EMC EMC > Mesoscale Modeling > PEOPLE Home Mission Models R & D Collaborators Documentation Change Log People Calendar References Verification/Diagnostics Tropical & Extratropical Cyclone Tracks & Verification Implementation Info FAQ Disclaimer More Info MESOSCALE MODELING PEOPLE

NREL's Battery Life Predictive Model Helps Companies Take Charge | News |

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lithium-ion (Li-ion) batteries, are complex electrochemical systems. There are typically several different NREL NREL's Battery Life Predictive Model Helps Companies Take Charge NREL's Battery Life monitor. An example of a stationary, grid-connected battery is the NREL project from Erigo/EaglePicher

Expectation-maximization algorithms for learning a finite mixture of univariate survival time distributions from partially specified class values

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

Lee, Youngrok

2013-05-15

Heterogeneity exists on a data set when samples from di erent classes are merged into the data set. Finite mixture models can be used to represent a survival time distribution on heterogeneous patient group by the proportions of each class and by the survival time distribution within each class as well. The heterogeneous data set cannot be explicitly decomposed to homogeneous subgroups unless all the samples are precisely labeled by their origin classes; such impossibility of decomposition is a barrier to overcome for estimating nite mixture models. The expectation-maximization (EM) algorithm has been used to obtain maximum likelihood estimates ofmore » nite mixture models by soft-decomposition of heterogeneous samples without labels for a subset or the entire set of data. In medical surveillance databases we can find partially labeled data, that is, while not completely unlabeled there is only imprecise information about class values. In this study we propose new EM algorithms that take advantages of using such partial labels, and thus incorporate more information than traditional EM algorithms. We particularly propose four variants of the EM algorithm named EM-OCML, EM-PCML, EM-HCML and EM-CPCML, each of which assumes a specific mechanism of missing class values. We conducted a simulation study on exponential survival trees with five classes and showed that the advantages of incorporating substantial amount of partially labeled data can be highly signi cant. We also showed model selection based on AIC values fairly works to select the best proposed algorithm on each specific data set. A case study on a real-world data set of gastric cancer provided by Surveillance, Epidemiology and End Results (SEER) program showed a superiority of EM-CPCML to not only the other proposed EM algorithms but also conventional supervised, unsupervised and semi-supervised learning algorithms.« less

Biography for Michael Rossol | NREL

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Biography for Michael Rossol Michael Rossol Michael Rossol Resource Data Scientist Michael.Rossol @nrel.gov | 303-275-3680 Michael Rossol is a member of the Systems Modeling team within the Systems Modeling

Koenraad Beckers | NREL

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postdoctoral researcher working on geothermal energy and CSP projects. His interests include heat and mass geothermal energy systems modeling, reservoir simulation, and economic analysis, as well as on the design and transfer, energy conversion and storage systems, reservoir modeling, and direct-use applications of thermal

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post and are available via /nwprod/lib: bacio w3 sp nemsio The following will be used only when Post is set : gmake nmm NMM with post: gmake nmm_post GSM only: gmake gsm GSM with post: gmake gsm_post GSM w

Uncertainty and Variability in Physiologically-Based Pharmacokinetic (PBPK) Models: Key Issues and Case Studies (Final Report)

EPA Science Inventory

EPA announced the availability of the final report, Uncertainty and Variability in Physiologically-Based Pharmacokinetic (PBPK) Models: Key Issues and Case Studies. This report summarizes some of the recent progress in characterizing uncertainty and variability in physi...

National Centers for Environmental Prediction

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Processing Land Surface Software Engineering Hurricanes Model Information Documentation Performance Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Series Other Information Collaborators In-House Website Transition to Operations Presentations

Discovery of the fourth quark in the Standard Model

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, using the MARK I detector, (above left) and on the East Coast, at DOE’s Brookhaven Laboratory Burton Richter at DOE’s SLAC Sam Ting and team at DOE's Brookhaven 1974 The discovery of charm , the fourth quark in the Standard Model, occurred simultaneously on the West Coast, at DOE’s SLAC

NOMADS-NOAA Operational Model Archive and Distribution System

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Forecast Maps Climate Climate Prediction Climate Archives Weather Safety Storm Ready NOAA Central Library (16km) 6 hours grib filter http OpenDAP-alt URMA hourly - http - Climate Models Climate Forecast System Flux Products 6 hours grib filter http - Climate Forecast System 3D Pressure Products 6 hours grib

Jennifer van Rij | NREL

Science.gov Websites

Jennifer.Vanrij@nrel.gov | 303-384-7180 Jennifer's expertise is in developing computational modeling methods for collaboratively developing numerical modeling methods to simulate the hydrodynamic, structural dynamic, power -elastic interactions. Her other diverse work experiences include developing numerical modeling methods for

EMC: Verification

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, GFS, RAP, HRRR, HIRESW, SREF mean, International Global Models, HPC analysis Precipitation Skill Scores : 1995-Present NAM, GFS, NAM CONUS nest, International Models EMC Forecast Verfication Stats: NAM ) Real Time Verification of NCEP Operational Models against observations Real Time Verification of NCEP

Nick Kincaid | NREL

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from Colorado School of Mines. His research interests include optical modeling, computational fluid dynamics, and heat transfer. His work involves optical performance modeling of concentrating solar power experience includes developing thermal and optical models of CSP components at Norwich Solar Technologies

Robert Spencer | NREL

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& Simulation Research Interests Remote Sensing Natural Resource Modeling Machine Learning Education Analysis Center. Areas of Expertise Geospatial Analysis Data Visualization Algorithm Development Modeling

JEDI International Model | Jobs and Economic Development Impact Models |

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NREL International Model JEDI International Model The Jobs and Economic Development Impacts (JEDI) International Model allows users to estimate economic development impacts from international

Limitations of JEDI Models | Jobs and Economic Development Impact Models |

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precise forecast. The Jobs and Economic Development Impact (JEDI) models are input-output based models for assessing economic impacts and jobs, including JEDI (see Chapter 5, pp. 136-142). The most not reflect many other economic impacts that could affect real-world impacts on jobs from the project

JEDI Transmission Line Model | Jobs and Economic Development Impact Models

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, reasonable default values are provided. Individual projects may vary and when possible, project specific data Line Model rel. TL12.23.16. JEDI Transmission Line Model User Reference Guide Using MS Excel 2007 When ;High." Set the level to "Medium" or "Low" and then re-open the JEDI worksheet

NAEFS Products

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HOME PAGE Image of NCEP Logo WHERE AMERICA'S CLIMATE AND WEATHER SERVICES BEGIN NCEP Products Inventory Image of horizontal rule North American Ensemble Forecast System (NAEFS) Products Updated: 02/27 /2014 * Products Information about the NAEFS Models CC is the model cycle runtime (i.e. 00, 06, 12, 18

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Documentation for operational and research users Operational Models All of the secondary bulleted items will be climate MOM4 HYCOM-Wavewatch Modeling Research Global and regional Institutionally supported components

--No Title--

Science.gov Websites

, the user is responsbile for controlling the quality of observational data # and ensuring data is also # # OUTPUTS: # 1) observational data (named data_obs) and Model data (named data_model) # stored under " observational and model data, stored in correct locations # 2) "data" and "figures" folders

Ry Horsey | NREL

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Ry Horsey Photo of Henry Horsey Ry Horsey Software Developer - Commercial Buildings Energy Modeling the field of commercial building energy modeling. He is particularly interested in the increasing tools to support large-scale commercial building energy modeling. This work has led to contributions to

Cryo-EM Data Are Superior to Contact and Interface Information in Integrative Modeling.

PubMed

de Vries, Sjoerd J; Chauvot de Beauchêne, Isaure; Schindler, Christina E M; Zacharias, Martin

2016-02-23

Protein-protein interactions carry out a large variety of essential cellular processes. Cryo-electron microscopy (cryo-EM) is a powerful technique for the modeling of protein-protein interactions at a wide range of resolutions, and recent developments have caused a revolution in the field. At low resolution, cryo-EM maps can drive integrative modeling of the interaction, assembling existing structures into the map. Other experimental techniques can provide information on the interface or on the contacts between the monomers in the complex. This inevitably raises the question regarding which type of data is best suited to drive integrative modeling approaches. Systematic comparison of the prediction accuracy and specificity of the different integrative modeling paradigms is unavailable to date. Here, we compare EM-driven, interface-driven, and contact-driven integrative modeling paradigms. Models were generated for the protein docking benchmark using the ATTRACT docking engine and evaluated using the CAPRI two-star criterion. At 20 Å resolution, EM-driven modeling achieved a success rate of 100%, outperforming the other paradigms even with perfect interface and contact information. Therefore, even very low resolution cryo-EM data is superior in predicting heterodimeric and heterotrimeric protein assemblies. Our study demonstrates that a force field is not necessary, cryo-EM data alone is sufficient to accurately guide the monomers into place. The resulting rigid models successfully identify regions of conformational change, opening up perspectives for targeted flexible remodeling. Copyright © 2016 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Cryo-EM Data Are Superior to Contact and Interface Information in Integrative Modeling

PubMed Central

de Vries, Sjoerd J.; Chauvot de Beauchêne, Isaure; Schindler, Christina E.M.; Zacharias, Martin

2016-01-01

Protein-protein interactions carry out a large variety of essential cellular processes. Cryo-electron microscopy (cryo-EM) is a powerful technique for the modeling of protein-protein interactions at a wide range of resolutions, and recent developments have caused a revolution in the field. At low resolution, cryo-EM maps can drive integrative modeling of the interaction, assembling existing structures into the map. Other experimental techniques can provide information on the interface or on the contacts between the monomers in the complex. This inevitably raises the question regarding which type of data is best suited to drive integrative modeling approaches. Systematic comparison of the prediction accuracy and specificity of the different integrative modeling paradigms is unavailable to date. Here, we compare EM-driven, interface-driven, and contact-driven integrative modeling paradigms. Models were generated for the protein docking benchmark using the ATTRACT docking engine and evaluated using the CAPRI two-star criterion. At 20 Å resolution, EM-driven modeling achieved a success rate of 100%, outperforming the other paradigms even with perfect interface and contact information. Therefore, even very low resolution cryo-EM data is superior in predicting heterodimeric and heterotrimeric protein assemblies. Our study demonstrates that a force field is not necessary, cryo-EM data alone is sufficient to accurately guide the monomers into place. The resulting rigid models successfully identify regions of conformational change, opening up perspectives for targeted flexible remodeling. PMID:26846888

JEDI Geothermal Model | Jobs and Economic Development Impact Models | NREL

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Geothermal Model JEDI Geothermal Model The Jobs and Economic Development Impacts (JEDI) Geothermal Model allows users to estimate economic development impacts from geothermal projects and includes

JEDI Biofuels Models | Jobs and Economic Development Impact Models | NREL

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Biofuels Models JEDI Biofuels Models The Jobs and Economic Development Impacts (JEDI) biofuel models allow users to estimate economic development impacts from biofuel projects and include default

JEDI Petroleum Model | Jobs and Economic Development Impact Models | NREL

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Petroleum Model JEDI Petroleum Model The Jobs and Economic Development Impacts (JEDI) Petroleum Model allows users to estimate economic development impacts from petroleum projects and includes default

Mean-variance analysis of block-iterative reconstruction algorithms modeling 3D detector response in SPECT

NASA Astrophysics Data System (ADS)

Lalush, D. S.; Tsui, B. M. W.

1998-06-01

We study the statistical convergence properties of two fast iterative reconstruction algorithms, the rescaled block-iterative (RBI) and ordered subset (OS) EM algorithms, in the context of cardiac SPECT with 3D detector response modeling. The Monte Carlo method was used to generate nearly noise-free projection data modeling the effects of attenuation, detector response, and scatter from the MCAT phantom. One thousand noise realizations were generated with an average count level approximating a typical T1-201 cardiac study. Each noise realization was reconstructed using the RBI and OS algorithms for cases with and without detector response modeling. For each iteration up to twenty, we generated mean and variance images, as well as covariance images for six specific locations. Both OS and RBI converged in the mean to results that were close to the noise-free ML-EM result using the same projection model. When detector response was not modeled in the reconstruction, RBI exhibited considerably lower noise variance than OS for the same resolution. When 3D detector response was modeled, the RBI-EM provided a small improvement in the tradeoff between noise level and resolution recovery, primarily in the axial direction, while OS required about half the number of iterations of RBI to reach the same resolution. We conclude that OS is faster than RBI, but may be sensitive to errors in the projection model. Both OS-EM and RBI-EM are effective alternatives to the EVIL-EM algorithm, but noise level and speed of convergence depend on the projection model used.

Eric Wilson | NREL

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, developing an analysis framework and data visualization for national residential building stock models, and include developing multifamily modeling capabilities for the BEopt building energy optimization software

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post streamline the interaction of analysis, forecast, and post-processing systems within NCEP. The NEMS Force, and will eventually provide support to the community through the Developmental Test Center (DTC

NREL: Renewable Resource Data Center - SMARTS

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SMARTS - Simple Model of the Atmospheric Radiative Transfer of Sunshine Renewable Resource Data Center The Simple Model of the Atmospheric Radiative Transfer of Sunshine, or SMARTS, predicts clear-sky architecture, atmospheric science, photobiology, and health physics. SMARTS is a complex model that requires

PNNL: Climate Modelling

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Runs [ Open Access : Password Protected ] CESM Development CESM Runs [ Open Access : Password Protected ] WRF Development WRF Runs [ Open Access : Password Protected ] Climate Modeling Home Projects Links Literature Manuscripts Publications Polar Group Meeting (2012) ASGC Home ASGC Jobs Web Calendar Wiki Internal

NREL Scientists Model Methane-Eating Bacteria | News | NREL

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Scientists Model Methane-Eating Bacteria News Release: NREL Scientists Model Methane-Eating Bacteria February 13, 2018 Nature is full of surprises - not to mention solutions. A research team ) recently explored the possibilities provided by the natural world by researching how the bacteria

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Chuang (POST) Fanglin Yang (VSDB) Perry Shafran (VERIFICATION) Ilya Rivin (HYCOM) David Behringer (MOM4 * Functional Equivalence test for MOM4p0 on GAEA - Dave Behringer * NCEP Gaea module - $NETCDF * Use a forum

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Documentation, experiments, web content Nicole McKee Makefiles, scripts, launcher Edward Colon NEMSIO, post Yang GFS post Hui-ya Chuang NAM development Tom Black Dusan Jovic Jim Abeles GFS development S Moorthi

Multi-Scale Multi-Domain Model | Transportation Research | NREL

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framework for NREL's MSMD model. NREL's MSMD model quantifies the impacts of electrical/thermal pathway : NREL Macroscopic design factors and highly dynamic environmental conditions significantly influence the design of affordable, long-lasting, high-performing, and safe large battery systems. The MSMD framework

JEDI Methodology | Jobs and Economic Development Impact Models | NREL

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Methodology JEDI Methodology The intent of the Jobs and Economic Development Impact (JEDI) models costs) to demonstrate the employment and economic impacts that will likely result during the estimate of overall economic impacts from specific scenarios. Please see Limitations of JEDI Models for

NCEP SST Analysis

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Branches Global Climate & Weather Modeling Mesoscale Modeling Marine Modeling and Analysis Contact EMC , state and local government Web resources and services. Real-time, global, sea surface temperature (RTG_SST_HR) analysis For a regional map, click the desired area in the global SST analysis and anomaly maps

NREL, EPRI Validate Advanced Microgrid Controller with ESIF's Virtual

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Microgrid Controller with ESIF's Virtual Microgrid Model NREL, EPRI Validate Advanced Microgrid Controller with ESIF's Virtual Microgrid Model NREL is working with the Electric Power Research Institute (EPRI Energy Systems Integration Facility, by connecting it to a virtual model of a microgrid. NREL researchers

Human Centered Modeling and Simulation

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Contacts Researchers Thrust Area 2: Human Centered Modeling and Simulation Thrust Area Leader: Dr. Matthew performance of human occupants and operators are paramount in the achievement of ground vehicle design objectives, but these occupants are also the most variable components of the human-machine system. Modeling

Alternative Fuels Data Center: Clean Cities Helps National Parks Model

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Sustainable Transportation Clean Cities Helps National Parks Model Sustainable Transportation to someone by E-mail Share Alternative Fuels Data Center: Clean Cities Helps National Parks Model Sustainable Transportation on Facebook Tweet about Alternative Fuels Data Center: Clean Cities Helps National

Brian Ball | NREL

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Integration program, developing inverse modeling algorithms to calibrate building energy models, and is part related equipment. This work included developing an engineering grade operator training simulator for an

GFS Products

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Inventory Image of horizontal rule Global Products Updated: 7/28/2017 Global Forecast System (GFS) Model Global Data Assimilation System (GDAS) Model * Information about the GFS * Information about the GFS Name GFS GFS - Global longitude-latitude grid WCOSS File Name Inventory 0.25 degree resolution

NWS Marine Forecast Areas

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Currents Global Ocean Model Sea Surface Temperatures Gulf Stream ASCII Data Gulf Stream Comparison Gridded ASCAT Scatterometer Winds Lightning Strike Density Satellite Imagery Ocean Global Ocean Model , 2017 19:10:57 UTC Disclaimer Information Quality Help Glossary Privacy Policy Freedom of Information

JEDI Coal Model | Jobs and Economic Development Impact Models | NREL

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Coal Model JEDI Coal Model The Jobs and Economic Development Impacts (JEDI) Coal Model allow users to estimate economic development impacts from coal projects and includes default information that can

Power Market Design | Grid Modernization | NREL

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Power Market Design Power Market Design NREL researchers are developing a modeling platform to test (a commercial electricity production simulation model) and FESTIV (the NREL-developed Flexible Energy consisting of researchers in power systems and economics Projects Grid Market Design Project The objective of

NREL: International Activities - Country Programs

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for use of mini-grid quality assurance and design standards and advising on mini-grid business models communities of practice and technical collaboration across countries on mini-grid development, modeling and interconnection standards and procedures, and with strengthening mini-grids and energy access programs. NREL is

MMAB Operational Products

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Atlantic Real-Time Ocean Forecast System NOAA Wavewatch III® Ocean Wave Model Sea Ice Concentration Analysis Satellite Derived Ocean Surface Winds Daily Sea Surface Temperature Analysis Sea Ice Drift Model

Multi-model Effort Highlights Progress, Future Needs in Renewable Energy

Science.gov Websites

January 9, 2018 Models of the U.S. electricity sector are relied upon by sector stakeholders and decision of VRE technologies. The report also documents differences in modeling methodologies and shows how long-term planning and decision-making, both for the respective agencies and for other electricity

NREL Deploys Wave and Tidal Measurement Buoys | News | NREL

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various wave and tidal models, and in turn, reduce risks for developers. These buoys allow researchers to "better understand the limitations and errors in existing global wave models," says Kilcher using NREL, laboratory, and U.S. Department of Energy published models, the team identified likely

National Snow Analyses - NOHRSC - The ultimate source for snow information

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Equivalent Thumbnail image of Modeled Snow Water Equivalent Animate: Season --- Two weeks --- One Day Snow Depth Thumbnail image of Modeled Snow Depth Animate: Season --- Two weeks --- One Day Average Snowpack Temp Thumbnail image of Modeled Average Snowpack Temp Animate: Season --- Two weeks --- One Day SWE

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post do data transfer from Gaea to Vapor; DTN (Nwave) has set up for all users but wants one user to test numerous cpu intensive scripts? Click here to view more information Open Effects of the problem: NCEP pre

A multiscale quantum mechanics/electromagnetics method for device simulations.

PubMed

Yam, ChiYung; Meng, Lingyi; Zhang, Yu; Chen, GuanHua

2015-04-07

Multiscale modeling has become a popular tool for research applying to different areas including materials science, microelectronics, biology, chemistry, etc. In this tutorial review, we describe a newly developed multiscale computational method, incorporating quantum mechanics into electronic device modeling with the electromagnetic environment included through classical electrodynamics. In the quantum mechanics/electromagnetics (QM/EM) method, the regions of the system where active electron scattering processes take place are treated quantum mechanically, while the surroundings are described by Maxwell's equations and a semiclassical drift-diffusion model. The QM model and the EM model are solved, respectively, in different regions of the system in a self-consistent manner. Potential distributions and current densities at the interface between QM and EM regions are employed as the boundary conditions for the quantum mechanical and electromagnetic simulations, respectively. The method is illustrated in the simulation of several realistic systems. In the case of junctionless field-effect transistors, transfer characteristics are obtained and a good agreement between experiments and simulations is achieved. Optical properties of a tandem photovoltaic cell are studied and the simulations demonstrate that multiple QM regions are coupled through the classical EM model. Finally, the study of a carbon nanotube-based molecular device shows the accuracy and efficiency of the QM/EM method.

Energy Systems Integration News - October 2016 | Energy Systems Integration

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SuperModels Game," a sophisticated game model developed by the National Association of Regulatory Utility maintain reliability, affordability, and utility company competitiveness. Those not invited to the game

Publications - DDS 4 | Alaska Division of Geological & Geophysical Surveys

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Datasets of Alaska: Alaska Division of Geological & Geophysical Surveys Digital Data Series 4, http ; Alaska Statewide Maps; Alaska, State of; Digital Elevation Model; Digital Surface Model (DSM); Geologic

NAEFS-2007

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the NCO PMB model changes web site for more information concerning NCEP model changes. http ://www.nco.ncep.noaa.gov/pmb/changes/ Thanks, Joey Carr EFFECTIVE TUE DEC 4 2007...WITH THE 1200 COORDINATED UNIVERSAL TIME /CONTENT CHANGES: NOAAPORT DATA: - THE NCEP GEFS ENSEMBLE PRODUCTS WHICH ARE DELIVERED TO NOAAPORT

NREL: Renewable Resource Data Center - Solar Resource Models and Tools

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Solar Resource Models and Tools The Renewable Resource Data Center (RReDC) features the following -supplied hourly average measured global horizontal data. NSRDB Data Viewer Visualize, explore, and download solar resource data from the National Solar Radiation Database. PVWatts® Calculator PVWattsÂ

Renewable Energy Generation and Storage Models | Grid Modernization | NREL

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-the-loop testing Projects Generator, Plant, and Storage Modeling, Simulation, and Validation NREL power plants. Power Hardware-in-the-Loop Testing NREL researchers are developing software-and-hardware -combined simulation testing methods known as power hardware-in-the-loop testing. Power hardware in the loop

NCO Systems Integration

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: AWC CPC EMC NCO NHC OPC SPC SWPC WPC Search by city or zip code. Press enter or select the go button to submit request Local forecast by "City, St" City, St Go Search NCEP Go NCEP Quarterly Surface Analysis Product Loops Environmental Models Product Info Current Status Model Analyses &

NCEP Decoder Web Site

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: AWC CPC EMC NCO NHC OPC SPC SWPC WPC Search by city or zip code. Press enter or select the go button to submit request Local forecast by "City, St" City, St Go Search NCEP Go NCEP Quarterly Surface Analysis Product Loops Environmental Models Product Info Current Status Model Analyses &

NCO Mail Webmaster

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: AWC CPC EMC NCO NHC OPC SPC SWPC WPC Search by city or zip code. Press enter or select the go button to submit request Local forecast by "City, St" City, St Go Search NCEP Go NCEP Quarterly Surface Analysis Product Loops Environmental Models Product Info Current Status Model Analyses &

National Centers for Environmental Prediction

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/ VISION | About EMC EMC > NAM > EXPERIMENTAL DATA Home NAM Operational Products HIRESW Operational Products Operational Forecast Graphics Experimental Forecast Graphics Verification and Diagnostics Model PARALLEL/EXPERIMENTAL MODEL FORECAST GRAPHICS OPERATIONAL VERIFICATION / DIAGNOSTICS PARALLEL VERIFICATION

NREL and Panasonic | Energy Systems Integration Facility | NREL

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with distribution system modeling for the first time. The tool combines NREL's building energy system distribution system models, and Panasonic will perform cost-benefit analyses. Along with the creation of the

Brendan McBennett | NREL

Science.gov Websites

more accurately modeling interchange pricing rules between Regional Transmission Organizations. Areas Market to market coordination between Regional Transmission Organizations Research Interests Modeling the Indian power system with improved transmission representation to more accurately predict RE integration

National Centers for Environmental Prediction

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Products Operational Forecast Graphics Experimental Forecast Graphics Verification and Diagnostics Model PARALLEL/EXPERIMENTAL MODEL FORECAST GRAPHICS OPERATIONAL VERIFICATION / DIAGNOSTICS PARALLEL VERIFICATION Developmental Air Quality Forecasts and Verification Back to Table of Contents 2. PARALLEL/EXPERIMENTAL GRAPHICS

National Centers for Environmental Prediction

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Operational Forecast Graphics Experimental Forecast Graphics Verification and Diagnostics Model Configuration /EXPERIMENTAL MODEL FORECAST GRAPHICS OPERATIONAL VERIFICATION / DIAGNOSTICS PARALLEL VERIFICATION / DIAGNOSTICS Developmental Air Quality Forecasts and Verification Back to Table of Contents 2. PARALLEL/EXPERIMENTAL GRAPHICS

In vivo study of endometriosis in mice by photoacoustic microscopy.

PubMed

Ding, Yichen; Zhang, Mingzhu; Lang, Jinghe; Leng, Jinhua; Ren, Qiushi; Yang, Jie; Li, Changhui

2015-01-01

Endometriosis (EM) impacts the healthcare and the quality of life for women of reproductive age. However, there is no reliable noninvasive diagnosis method for either animal study or clinical use. In this work, a novel imaging method, photoacoustic microscopy (PAM) was employed to study the EM on the mouse model. Our results demonstrated the PAM noninvasively provided the high contrast and 3D imaging of subcutaneously implanted EM tissue in the nude mouse in vivo. The statistical study also indicated PAM had high sensitivity and specificity in the diagnosis of EM in this animal study. In addition, we also discussed the potential clinical application for PAM in the diagnosis of EM. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

NCEP Model Verification

Science.gov Websites

daily and monthly statistics. The daily and monthly verification processing is broken down into three geopotential height and wind using daily statistics from the gdas1 prepbufr files at 00Z; 06Z; 12Z; and, 18Z Hemisphere; the Southern Hemisphere; and the Tropics. Daily S1 scores from the GFS and NAM models are

National Centers for Environmental Prediction

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Modeling Mesoscale Modeling Marine Modeling and Analysis Teams Climate Data Assimilation Ensembles and Post Contacts Change Log Events Calendar People Numerical Forecast Systems Ensemble and Post Processing Team

Modeling for Understanding in Science Education

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Modeling for Understanding in Science Education Earth-Moon-Sun Dynamics Natural Selection Welcome ! Modeling for Understanding in Science Education (MUSE) is a collaborative project of university researchers

About the Distributed Generation Market Demand Model | Distributed

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States within a single modeling platform. The dGen model is one of the premier national customer adoption actual applications of the dGen model. Examples of Analysis Alt text: U.S. map, titled Photovoltaic Solar

Development of in-vitro models to elucidate mechanisms of intrinsic cellular and tissue fluorescence

NASA Astrophysics Data System (ADS)

Savage, Howard E.; Kolli, Venkateswara; Saha, Sanjoy; Zhang, Jian C.; Glasgold, Mark; Sacks, Peter G.; Alfano, Robert R.; Schantz, Stimson P.

1995-04-01

In vitro cell model systems have been used to study the mechanisms of intrinsic cellular and tissue fluorescence as a potential biomarker for cancer. Phenotypic characteristics of cancer that are different from normal tissue include changes in histoarchitecture, proliferation rates and differentiation. a nitrosmethlybenzylamine (NMBA)/rat esophageal carcinogenesis model (NMBA), a transforming growth factor beta (TGF- (beta) )/normal epithelial cell model, and a retinoic acid (RA)/multicellular tumor spheroid model (RAMTS) were used to assess fluorescence changes associated respectively with changes in histoarchitecture, proliferation rates and differentiation. A xenon based fluorescence spectrophotometer (Mediscience Corp.) was used to collect excitation and emission spectra. Two excitation scans ((lambda) Ex 200-360 nm, (lambda) Em 380 nm; (lambda) Ex 240-430 nm, (lambda) Em 450 nm) and two emission scans ((lambda) Ex 300 nm, (lambda) Em 320-580 nm; (lambda) Ex 340 nm, (lambda) Em 360-660 nm) were used to analyze the three model systems. Using the NMBA model. Differences were seen in the excitation scan ((lambda) Ex 200-360 nm, (lambda) Em 380 nm) and the emission scan ((lambda) Ex 340 nm, (lambda) Em 360-660 nm) when normal rat esophageal tissue was compared to hyperplastic and tumor tissue. In the (TGF-(beta) ) model, differences were seen in the excitation scan ((lambda) Ex 240-430 nm, (lambda) Em 450 nm) when comparing proliferation slowed (TGF-(beta) treated) epithelial cells to their untreated controls. In the RAMTS model, differences were seen with all four scans when RA treated multicellular tumor spheroids (nondifferentiating) were compared to untreated control cells (differentiating). The data indicate that fluorescence changes seen in these model systems may relate to changes in histoarchitecture, proliferation rates and differentiation. Their relationship to in vivo fluorescence changes seen in cancer patients remains to be elucidated.

Global Real-Time Ocean Forecast System

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services. Marine Modeling and Analysis Branch Logo Click here to go to the MMAB home page Global Real-Time 17 Oct 2017 at 0Z, the Global RTOFS model has been upgraded to version 1.1.2. Changes include: The ). The global operational Real-Time Ocean Forecast System (Global RTOFS) at the National Centers for

JEDI Marine and Hydrokinetic Power Model | Jobs and Economic Development

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Model The Jobs and Economic Development Impacts (JEDI) Marine Hydrokinetic Model allows users to estimate economic development impacts from marine hydrokinetic projects and includes default information

Kate Anderson | NREL

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private entities with techno-economic modeling and analysis, field assessments, design, and implementation Force. Research Interests Energy optimization Techno-economic modeling Value of resiliency Solar+storage -Resilient Solar Project: Economic and Resiliency Impact of PV and Storage on New York Critical

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar The Mesoscale Modeling Branch conducts a program of research and development in support of the prediction. This research and development includes mesoscale four-dimensional data assimilation of domestic

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Hurricane Weather Research and Forecast System ANALYSIS FORECAST MODEL GSI Gridpoint Statistical Weather and Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar WEATHER RESEARCH and FORECASTING HMON HMON - OPERATIONAL HURRICANE FORECASTING WAVEWATCH III WAVEWATCH III Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court

The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data.

PubMed

Regier, Michael D; Moodie, Erica E M

2016-05-01

We propose an extension of the EM algorithm that exploits the common assumption of unique parameterization, corrects for biases due to missing data and measurement error, converges for the specified model when standard implementation of the EM algorithm has a low probability of convergence, and reduces a potentially complex algorithm into a sequence of smaller, simpler, self-contained EM algorithms. We use the theory surrounding the EM algorithm to derive the theoretical results of our proposal, showing that an optimal solution over the parameter space is obtained. A simulation study is used to explore the finite sample properties of the proposed extension when there is missing data and measurement error. We observe that partitioning the EM algorithm into simpler steps may provide better bias reduction in the estimation of model parameters. The ability to breakdown a complicated problem in to a series of simpler, more accessible problems will permit a broader implementation of the EM algorithm, permit the use of software packages that now implement and/or automate the EM algorithm, and make the EM algorithm more accessible to a wider and more general audience.

Study of spectroscopic properties of nanosized particles of core-shell morphology

NASA Astrophysics Data System (ADS)

Bzhalava, T. N.; Kervalishvili, P. J.

2018-03-01

Method of studying spectroscopic properties of nanosized particles and estimation of resonance wavelength range for determination of specific and unique “spectral” signatures in purpose of sensing, identification of nanobioparticles, viruses is proposed. Elaboration of relevant models of viruses, estimation of spectral response on interaction of electromagnetic (EM) field and viral nanoparticle is the goal of proposed methodology. Core-shell physical model is used as the first approximation of shape-structure of virion. Theoretical solution of EM wave scattering on single spherical virus-like particle (VLP) is applied for determination of EM fields in the areas of core, shell and surrounding medium of (VLP), as well as scattering and absorption characteristics. Numerical results obtained by computer simulation for estimation of EM “spectra” of bacteriophage T7 demonstrate the strong dependence of spectroscopic characteristics on core-shell related electric and geometric parameters of VLP in resonance wavelengths range. Expected spectral response is observable on far-field characterizations. Obtained analytical EM field expressions, modelling technique in complement with experimental spectroscopic methods should be the way of providing the virus spectral signatures, important in bioparticles characterization.

Solar Measurement and Modeling | Grid Modernization | NREL

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Energy SunShot Initiative by improving the tools and methods that measure solar radiation to reduce and disseminate accurate solar measurement and modeling methods, best practices and standards, and Normal Irradiance Measurements, Solar Energy (2016) Radiometer Calibration Methods and Resulting

Wesley Cole | NREL

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. Areas of Expertise Capacity expansion modeling of the U.S. electricity sector Renewable energy models Interaction of rooftop PV deployment with the greater electricity sector Impacts of policies on the evolution of the electricity sector Interactions of the natural gas supply chain with the

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar ) of the Environmental Modeling Center (EMC) conducts a program of research and development in support Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author: EMC

SUNREL Publications | Buildings | NREL

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Energy Simulation with a Three-Dimensional Ground-Coupled Heat Transfer Model Infiltration and Natural Ventilation Model for Whole-Building Energy Simulation of Residential Buildings Improvements to the SERIRES /SUNREL Building Energy Simulation Program, Deru, M. 1996. Masters Thesis, Colorado State University, Fort

Scott Horowitz | NREL

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area, which includes work on whole building energy modeling, cost-based optimization, model accuracy optimization tool used to provide support for the Building America program's teams and energy efficiency goals Colorado graduate student exploring enhancements to building optimization in terms of robustness and speed

Using JEDI Data | Jobs and Economic Development Impact Models | NREL

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tool; Purchase the necessary aggregated multiplier and consumer commodity demand data from someone skilled in input-output modeling (IMPLAN or another modeling tool); or Purchase the necessary aggregated

Time series modelling to forecast prehospital EMS demand for diabetic emergencies.

PubMed

Villani, Melanie; Earnest, Arul; Nanayakkara, Natalie; Smith, Karen; de Courten, Barbora; Zoungas, Sophia

2017-05-05

Acute diabetic emergencies are often managed by prehospital Emergency Medical Services (EMS). The projected growth in prevalence of diabetes is likely to result in rising demand for prehospital EMS that are already under pressure. The aims of this study were to model the temporal trends and provide forecasts of prehospital attendances for diabetic emergencies. A time series analysis on monthly cases of hypoglycemia and hyperglycemia was conducted using data from the Ambulance Victoria (AV) electronic database between 2009 and 2015. Using the seasonal autoregressive integrated moving average (SARIMA) modelling process, different models were evaluated. The most parsimonious model with the highest accuracy was selected. Forty-one thousand four hundred fifty-four prehospital diabetic emergencies were attended over a seven-year period with an increase in the annual median monthly caseload between 2009 (484.5) and 2015 (549.5). Hypoglycemia (70%) and people with type 1 diabetes (48%) accounted for most attendances. The SARIMA (0,1,0,12) model provided the best fit, with a MAPE of 4.2% and predicts a monthly caseload of approximately 740 by the end of 2017. Prehospital EMS demand for diabetic emergencies is increasing. SARIMA time series models are a valuable tool to allow forecasting of future caseload with high accuracy and predict increasing cases of prehospital diabetic emergencies into the future. The model generated by this study may be used by service providers to allow appropriate planning and resource allocation of EMS for diabetic emergencies.

Jason Jonkman | NREL

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-based and offshore wind turbines. He also guides projects aimed at verifying, validating, and applying developing, verifying, and validating simulation models for offshore wind turbines. He is the principal investigator for a DOE-funded project to improve the modeling of offshore floating wind system dynamics. He

OHD/HL - XEFS

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Assimilator Ensemble Post-processor (EnsPost) Hydrologic Model Output Statistics (HMOS) Ensemble Verification capabilities (see diagram below): the Ensemble Pre-processor, the Ensemble Post-processor, the Hydrologic Model (OpenDA, http://www.openda.org/joomla/index.php) to be used within the CHPS environment. Ensemble Post

Systems Engineering | Wind | NREL

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platform to leverage its research capabilities toward integrating wind energy engineering and cost models achieve a better understanding of how to improve system-level performance and achieve system-level cost research capabilities to: Integrate wind plant engineering performance and cost software modeling to enable

Grid Modeling Tools | Grid Modernization | NREL

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integrates primary frequency response (turbine governor control) with secondary frequency response (automatic generation control). It simulates the power system dynamic response in full time spectrum with variable time control model places special emphasis on electric power systems with high penetrations of renewable

National Centers for Environmental Prediction

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Modeling Center continuously monitors its NWP model performance against different performance measures, and AIRCFT GFS SSI and forecast fits to RAOBS for last 7 days spatial bias maps for different regions different regions GFS SSI and forecast fits to RAOBS for calendar months (time series, spatial and vertical

SHORT RANGE ENSEMBLE Products

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- CONUS Double Resolution (Lambert Conformal - 40km) NEMS Non-hydrostatic Multiscale Model on the B grid AWIPS grid 212 Regional - CONUS Double Resolution (Lambert Conformal - 40km) NEMS Non-hydrostatic 132 - Double Resolution (Lambert Conformal - 16km) NEMS Non-hydrostatic Multiscale Model on the B grid

NCO PMB - Upcoming Changes

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by Apr 12, 2018 Seeking public comments on the Hurricane Weather and Research Forecasting (HWRF) and Weather & Research Forecast No Changes on NOAAPORT NWS SCN 17-80 July 25, 2017 Upgrade GLW Upgrade June 9, 2015 HWRF Model Upgrade The Hurricane Weather and Research Forecast (HWRF) model will be

Business Models and Regulation | Distributed Generation Interconnection

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@nrel.gov 303-384-4641 Utilities and regulators are responding to the growth of distributed generation with new business models and approaches. The growing role of distributed resources in the electricity Electric Cooperative, Groton Utilities Distributed Solar for Small Utilities A recording of the webinar is

Cosmic Microwave Background Timeline

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about 2.3 K 1948: George Gamow, Ralph Alpher, and Robert Herman predict that a Big Bang universe perfect blackbody spectrum and thereby strongly supporting the hot big bang model, the thermal history of anisotropy in the cosmic microwave background, this strongly supports the big bang model with gravitational

Aviation Terminal Forecasts

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News of the Day... view past news Central Pacific Hurricane Season Outlook for 2018 2017-18 Hawaii Wet Local Graphics National Graphics Model Output River and Lakes Climate and Past Weather Local National Model Output Climate and Past Weather Local National More... Hawaii Climate Portal Local Programs

Publications | Distributed Generation Market Demand Model | NREL

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, Changgui, Benjamin Sigrin, and Gregory Brinkman The Impacts of Changes to Nevada's Net Metering Policy on Business Model Reforms for Addressing the Financial Impacts of Distributed Solar on Utilities, NREL Authors: Lantz, Eric, Benjamin Sigrin, Michael Gleason, Robert Preus, and Ian Baring-Gould Impacts of

National Centers for Environmental Prediction

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Reference List Table of Contents NCEP OPERATIONAL MODEL FORECAST GRAPHICS PARALLEL/EXPERIMENTAL MODEL Developmental Air Quality Forecasts and Verification Back to Table of Contents 2. PARALLEL/EXPERIMENTAL GRAPHICS VERIFICATION (GRID VS.OBS) WEB PAGE (NCEP EXPERIMENTAL PAGE, INTERNAL USE ONLY) Interactive web page tool for

National Centers for Environmental Prediction

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Operational Forecast Graphics Experimental Forecast Graphics Verification and Diagnostics Model Configuration consists of the following components: - The NOAA Environmental Modeling System (NEMS) version of the Non updates for the 12 km parent domain and the 3 km CONUS/Alaska nests. The non-cycled nests (Hawaii, Puerto

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar projects. Starting a Monsoon Mission experiment or research project? Let us know so we can add it to our Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court

Climate Prediction Center - Seasonal Outlook

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SEASONAL CLIMATE VARIABILITY, INCLUDING ENSO, SOIL MOISTURE, AND VARIOUS STATE-OF-THE-ART DYNAMICAL MODEL ACROSS PARTS OF THE EAST-CENTRAL CONUS CENTERED ON THE MISSISSIPPI RIVER. THIS IS DUE TO VERY HIGH SOIL TRENDS, NEGATIVE SOIL MOISTURE ANOMALIES, LAGGED ENSO REGRESSIONS, AND DYNAMICAL MODEL GUIDANCE ARE ALL

Electromagnetic backscattering from one-dimensional drifting fractal sea surface II: Electromagnetic backscattering model

NASA Astrophysics Data System (ADS)

Tao, Xie; William, Perrie; Shang-Zhuo, Zhao; He, Fang; Wen-Jin, Yu; Yi-Jun, He

2016-07-01

Sea surface current has a significant influence on electromagnetic (EM) backscattering signals and may constitute a dominant synthetic aperture radar (SAR) imaging mechanism. An effective EM backscattering model for a one-dimensional drifting fractal sea surface is presented in this paper. This model is used to simulate EM backscattering signals from the drifting sea surface. Numerical results show that ocean currents have a significant influence on EM backscattering signals from the sea surface. The normalized radar cross section (NRCS) discrepancies between the model for a coupled wave-current fractal sea surface and the model for an uncoupled fractal sea surface increase with the increase of incidence angle, as well as with increasing ocean currents. Ocean currents that are parallel to the direction of the wave can weaken the EM backscattering signal intensity, while the EM backscattering signal is intensified by ocean currents propagating oppositely to the wave direction. The model presented in this paper can be used to study the SAR imaging mechanism for a drifting sea surface. Project supported by the National Natural Science Foundation of China (Grant No. 41276187), the Global Change Research Program of China (Grant No. 2015CB953901), the Priority Academic Program Development of Jiangsu Higher Education Institutions, China, the Program for the Innovation Research and Entrepreneurship Team in Jiangsu Province, China, the Canadian Program on Energy Research and Development, and the Canadian World Class Tanker Safety Service Program.

Brian Bush | NREL

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W Bush Photo of Brian Bush Brian Bush Researcher VI-Systems Engineering Brian.Bush@nrel.gov | 303 -384-7472 Orcid ID http://orcid.org/0000-0003-2864-7028 Brian W Bush is a member of the Systems Modeling team within the Systems Modeling & Geospatial Data Science Group in the Strategic Energy

About JEDI | Jobs and Economic Development Impact Models | NREL

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About JEDI About JEDI The Jobs and Economic Development Impact (JEDI) models are user-friendly screening tools that estimate the economic impacts of constructing and operating power plants, fuel from industry norms), JEDI estimates the number of jobs and economic impacts to a local area that can

Alternative Fuels Data Center: Propane Vehicle Emissions

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compared to conventional gasoline and diesel fuel. When used as a vehicle fuel, propane can offer life , processing, manufacturing, distribution, use, and disposal or recycling. When comparing fuels, a life cycle GREET model estimates the life cycle petroleum use and GHG emissions for multiple fuels. When this model

North American Meso Model Forecast Meteograms

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BUFR unpacking is also available. New RUC FORECAST METEOGRAMS are now available. Forecasts of surface variables and vertical profiles of cloud and wind are available for over 1300 stations within the North American Meso model domain. A complete list of the available stations can be found here . Select a region

History of Particle Physics

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back to history page Back Particle Physics Timeline For over two thousand years people have thought the Standard Model. We invite you to explore this history of particle physics with a focus on the : Quantum Theory 1964 - Present: The Modern View (the Standard Model) back to history page Back Sections of

OHD/HL - Distributed Model

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Sacramento Soil Moisture Accounting Model (SAC-SMA) in a lumped and semi-distributed manner. Before any were derived using a procedure developed by VictorKoren ( Useof Soil Property Data in the Derivation of focused on developing a procedure to derive the SAC-SMAmodel parameters based on soil texture data. It is

Alternative Fuels Data Center: Maps and Data

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Data Generated_thumb20160404-15442-1rr9crl AFV and HEV Model Offerings, By Manufacturer traditional and bioenergy power, fuels, and resources. The tool also calculates the biofuels potential for a Graph Download Data Generated_thumb20160926-6025-heors6 Light-Duty AFV, HEV, and Diesel Model Offerings

Students to Race Solar-Powered Model Cars

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- Forty-one teams of middle school students from across Colorado on Saturday will race model solar cars participating schools follows. PARTICIPATING SCHOOLS Below are the school names and the team members of the competing schools: Arvada Middle School - Arvada, CO Coach: Claudia VanWie Car # and name: 37 Team members

Energy Systems Integration News | Energy Systems Integration Facility |

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Power Grid Simulation at a Distance NREL and Idaho National Laboratory (INL) have successfully connected of Power System Modeling and Simulation: "Bus.py: A GridLAB-D Communication Interface for Smart Modeling and Simulation" session at the IEEE PES General Meeting in Denver, Colorado, from 15 p.m. on

Improved heat transfer modeling of the eye for electromagnetic wave exposures.

PubMed

Hirata, Akimasa

2007-05-01

This study proposed an improved heat transfer model of the eye for exposure to electromagnetic (EM) waves. Particular attention was paid to the difference from the simplified heat transfer model commonly used in this field. From our computational results, the temperature elevation in the eye calculated with the simplified heat transfer model was largely influenced by the EM absorption outside the eyeball, but not when we used our improved model.

Maximum likelihood estimation and EM algorithm of Copas-like selection model for publication bias correction.

PubMed

Ning, Jing; Chen, Yong; Piao, Jin

2017-07-01

Publication bias occurs when the published research results are systematically unrepresentative of the population of studies that have been conducted, and is a potential threat to meaningful meta-analysis. The Copas selection model provides a flexible framework for correcting estimates and offers considerable insight into the publication bias. However, maximizing the observed likelihood under the Copas selection model is challenging because the observed data contain very little information on the latent variable. In this article, we study a Copas-like selection model and propose an expectation-maximization (EM) algorithm for estimation based on the full likelihood. Empirical simulation studies show that the EM algorithm and its associated inferential procedure performs well and avoids the non-convergence problem when maximizing the observed likelihood. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Battery Control Algorithms | Transportation Research | NREL

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publications. Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization Advanced Reformulation of Lithium-Ion Battery Models for Enabling Electric Transportation Fail-Safe Design for Large Capacity Lithium-Ion Battery Systems Contact Ying Shi Email | 303-275-4240

Photovoltaic Lifetime Project | Photovoltaic Research | NREL

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PV & Solar Resource Testing Accelerated Testing & Analysis Systems Engineering Project Sandia National Laboratories' PV Performance Modeling Collaborative website. Jinko Solar. PV systems mounted on the ground. Jinko Solar PV Lifetime installation at NREL. need-alt Light-induced degradation

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Environmental Modeling Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research

Xiangkun Li | NREL

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Xiangkun Li Xiangkun Li Engineer - Energy Optimization Modeling Xiangkun.Li@nrel.gov | 303-275-4372 focus areas include renewable energy integration, energy systems optimization, and power flow modeling

The Reciprocal Internal/External Frame of Reference Model Using Grades and Test Scores

ERIC Educational Resources Information Center

Möller, Jens; Zimmermann, Friederike; Köller, Olaf

2014-01-01

Background: The reciprocal I/E model (RI/EM) combines the internal/external frame of reference model (I/EM) with the reciprocal effects model (REM). The RI/EM extends the I/EM longitudinally and the REM across domains. The model predicts that, within domains, mathematics and verbal achievement (VACH) and academic self-concept have positive effects…

National Wind Technology Center | NREL

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. Wind Energy Research Wind turbine blade Wind energy research at the NWTC allows for validation and verification of large and small components and wind turbine systems. Photo by Dennis Schroeder / NREL 40935 Wind energy research at the NWTC has pioneered wind turbine components, systems, and modeling methods

CAEBAT Model Featured on American Chemical Society Journal Tenth

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University's School of Mechanical Engineering has yielded new insights for lithium-ion (Li-ion) battery corresponding article, "Secondary-Phase Stochastics in Lithium-Ion Battery Electrodes" detailing the microstructural modifications can greatly improve overall Li-ion battery performance. The value of this work is

Environmental Modeling Center / Marine Modeling and Analysis Branch

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Ocean Waves Sea Ice SST Marine Met. Real Time Ocean Forecasting System (RTOFS) Global RTOFS A hybrid time (0Z) out to 144 hours (6 days). Atlantic RTOFS Discontinued A hybrid coordinate, nominally 1/12Â initial time (0Z) out to 144 hours (6 days). Fukushima Tracers NCEP/NWS deployed three-dimensional

Impacts | Wind | NREL

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in hard hats standing on top of a large wind turbine overlooking several other wind turbines in the Framework Transforms FAST Wind Turbine Modeling Tool NREL Assesses National Design Standards for Offshore Wind Resource NREL Identifies Investments for Wind Turbine Drivetrain Technologies Awards R&D 100

Building Awards | NREL

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Mountain campus is designed to meet the Gold or Platinum standards of the U.S. Green Building Council's Research Facility. South Site Entrance Building South Site Entrance Building 2013 U.S. Green Buildings Building Awards Building Awards NREL's high-performance buildings are sustainability models for the

JEDI Conventional Hydropower Model | Jobs and Economic Development Impact

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Economic Development Impacts (JEDI) Conventional Hydropower Model allows users to estimate economic development impacts from conventional hydropower projects and includes default information that can be

PRISM-EM: template interface-based modelling of multi-protein complexes guided by cryo-electron microscopy density maps.

PubMed

Kuzu, Guray; Keskin, Ozlem; Nussinov, Ruth; Gursoy, Attila

2016-10-01

The structures of protein assemblies are important for elucidating cellular processes at the molecular level. Three-dimensional electron microscopy (3DEM) is a powerful method to identify the structures of assemblies, especially those that are challenging to study by crystallography. Here, a new approach, PRISM-EM, is reported to computationally generate plausible structural models using a procedure that combines crystallographic structures and density maps obtained from 3DEM. The predictions are validated against seven available structurally different crystallographic complexes. The models display mean deviations in the backbone of <5 Å. PRISM-EM was further tested on different benchmark sets; the accuracy was evaluated with respect to the structure of the complex, and the correlation with EM density maps and interface predictions were evaluated and compared with those obtained using other methods. PRISM-EM was then used to predict the structure of the ternary complex of the HIV-1 envelope glycoprotein trimer, the ligand CD4 and the neutralizing protein m36.

Comparison of emergency medical services systems in the pan-Asian resuscitation outcomes study countries: Report from a literature review and survey.

PubMed

Ong, Marcus E H; Cho, Jungheum; Ma, Matthew Huei-Ming; Tanaka, Hideharu; Nishiuchi, Tatsuya; Al Sakaf, Omer; Abdul Karim, Sarah; Khunkhlai, Nalinas; Atilla, Ridvan; Lin, Chih-Hao; Shahidah, Nur; Lie, Desiree; Shin, Sang Do

2013-02-01

Asia-Pacific countries have unique prehospital emergency care or emergency medical services (EMS) systems, which are different from European or Anglo-American models. We aimed to compare the EMS systems of eight Asia-Pacific countries/regions as part of the Pan Asian Resuscitation Outcomes Study (PAROS), to provide a basis for future comparative studies across systems of care. In the first phase, a systematic literature review of EMS system within the eight PAROS countries/regions of interest was conducted. In the second phase, PAROS site directors were surveyed for additional information about the demographics and characteristics of EMS services at their sites. The database and bibliography search identified 25 eligible articles. The survey of EMS systems was completed by seven PAROS directors. By combining information sources from phases 1 and 2, we found that all PAROS EMS systems were single-tiered, and most were public (vs private) and fire-based (Thailand, Malaysia, Singapore, Taiwan, Japan, Korea). Ambulance personnel were primarily emergency medical technicians and paramedics, except for Thailand and Turkey, whose personnel include nurses and physicians. Personnel were trained to use automated external defibrillators and have basic cardiac life support certification. The service capability of each EMS system in terms of dispatch, airway management and medications, for example, varied greatly. We found variation in the EMS systems across the eight Asia-Pacific countries/regions studied. The findings will inform the construction of a multinational Asia-Pacific research network for future comparative studies and could serve as a model for international research networks. © 2012 The Authors. EMA © 2012 Australasian College for Emergency Medicine and Australasian Society for Emergency Medicine.

Videos | Argonne National Laboratory

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science --Agent-based modeling --Applied mathematics --Artificial intelligence --Cloud computing management -Intelligence & counterterrorrism -Vulnerability assessment -Sensors & detectors Programs

Solar Research | NREL

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the System Advisor Model (SAM) PV engineering PV performance reliability and safety Solar resource Research Photo of a city landscape with a sun in the background. Solar energy research at NREL includes photovoltaics, concentrating solar power, solar grid and systems integration, and market research

NREL: Renewable Resource Data Center - Biomass Resource Related Links

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Biomass Resource Related Links Comprehensive biomass resource information is also available from . Printable Version RReDC Home Biomass Resource Information Biomass Data Models & Tools Publications Related Links Geothermal Resource Information Solar Resource Information Wind Resource Information Did you

David Goldwasser | NREL

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. Prior to joining NREL, David worked in architectural design, 3D modeling, and interactive media. He consulted for Google on 3D modeling tools and worked in Colorado on sustainable architecture projects

--No Title--

Science.gov Websites

will be useful, for example, in providing initial and/or lateral boundary conditions for regional reforecasts with various limited-area models. To access a subset of model output, for example a small number

Data and Tools | NREL

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Data and Tools Data and Tools NREL develops data sets, maps, models, and tools for the analysis of , models, and tools in the alphabetical listing. Popular Resources PVWatts Calculator Geospatial Data

NREL Projects Awarded More Than $3 Million to Advance Novel Solar

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in Grid Operations," evaluating a research solution to better integrate solar power generation funding program, which advances state-of-the-art techniques for predicting solar power generation to Office to advance predictive modeling of solar power as part of its Solar Forecasting 2 funding program

A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling.

PubMed

Huda, Shamsul; Yearwood, John; Togneri, Roberto

2009-02-01

This paper attempts to overcome the tendency of the expectation-maximization (EM) algorithm to locate a local rather than global maximum when applied to estimate the hidden Markov model (HMM) parameters in speech signal modeling. We propose a hybrid algorithm for estimation of the HMM in automatic speech recognition (ASR) using a constraint-based evolutionary algorithm (EA) and EM, the CEL-EM. The novelty of our hybrid algorithm (CEL-EM) is that it is applicable for estimation of the constraint-based models with many constraints and large numbers of parameters (which use EM) like HMM. Two constraint-based versions of the CEL-EM with different fusion strategies have been proposed using a constraint-based EA and the EM for better estimation of HMM in ASR. The first one uses a traditional constraint-handling mechanism of EA. The other version transforms a constrained optimization problem into an unconstrained problem using Lagrange multipliers. Fusion strategies for the CEL-EM use a staged-fusion approach where EM has been plugged with the EA periodically after the execution of EA for a specific period of time to maintain the global sampling capabilities of EA in the hybrid algorithm. A variable initialization approach (VIA) has been proposed using a variable segmentation to provide a better initialization for EA in the CEL-EM. Experimental results on the TIMIT speech corpus show that CEL-EM obtains higher recognition accuracies than the traditional EM algorithm as well as a top-standard EM (VIA-EM, constructed by applying the VIA to EM).

Nuclear and Particle Physics, Astrophysics and Cosmology : T-2 : LANL

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linked in Search T-2, Nuclear and Particle Physics, Astrophysics and Cosmology T-2 Home T Division Focus Areas Nuclear Information Service Nuclear Physics Particle Physics Astrophysics Cosmology CONTACTS Group energy security, heavy ion physics, nuclear astrophysics, physics beyond the standard model, neutrino

MMAB Sea Ice Forecast Page

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verification statistics Grumbine, R. W., Virtual Floe Ice Drift Forecast Model Intercomparison, Weather and Forecasting, 13, 886-890, 1998. MMAB Note: Virtual Floe Ice Drift Forecast Model Intercomparison 1996 pdf ~47

JEDI Concentrating Solar Power Model | Jobs and Economic Development Impact

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Economic Development Impacts (JEDI) Concentrating Solar Power Model allows users to estimate economic development impacts from concentrating solar power projects and includes default information that can be

University of Maryland MRSEC - Research

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-2012 Seed 3: Modeling Elastic Effects on Crystal Surfaces (Leader: Dionisios Margetis) 2009-2012 Seed 4 Rubloff & Sang Bok Lee) 2007-2009 Seed 3: Modeling Elastic Effects on Crystal Surfaces (Leader

Anthony D. Fontanini | NREL

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simulation component models within EnergyPlus and OpenStudio. Prior to working at NREL, Anthony was a member building envelope and developed attic and roof simulation tools. His background is in modeling heat

Using the General Algebraic Modeling System on Peregrine | High-Performance

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directory, type the following: module load gams cp /nopt/nrel/apps/gams/example/trnsport.gms . gams trnsport file. For example, if your model input uses LP procedure and you want to use Gurobi solver to solve it directory that you run GAMS. For example, for the Gurobi solver, its option file is "gurobi.opt"

Field Research Validation Sites | Wind | NREL

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, independent pitch control of the Controls Advanced Research Turbine (CART) blades Variable-speed or constant CART2 600-kW Turbine Model: Westinghouse Blades: 2 Hub height: 36.6 m Rotor diameter: 42.6 m Extensively instrumented CART3 600-kW Turbine Model: Westinghouse Blades: 3 Hub height: 36.6 m Rotor diameter: 42.6 m

Making a Computer Model of the Most Complex System Ever Built - Continuum

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Eastern Interconnection, all as a function of time. All told, that's about 1,000 gigabytes of data the modeling software steps forward in time, those decisions affect how the grid operates under Interconnection at five-minute intervals for one year would have required more than 400 days of computing time

SUNREL FAQs | Buildings | NREL

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or wind effects are modeled). This option is useful when modeling surfaces that do not see the sun fraction in the Walls section. The AMBIENT zone is useful for exterior walls that do no see the sun or have little effect from the sun. Q: How are glazing data files generated using Window 4.1 or Window 5.X? A

Accurate model annotation of a near-atomic resolution cryo-EM map

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

Hryc, Corey F.; Chen, Dong-Hua; Afonine, Pavel V.

Electron cryomicroscopy (cryo-EM) has been used to determine the atomic coordinates (models) from density maps of biological assemblies. These models can be assessed by their overall fit to the experimental data and stereochemical information. However, these models do not annotate the actual density values of the atoms nor their positional uncertainty. Here, we introduce a computational procedure to derive an atomic model from a cryo- EM map with annotated metadata. The accuracy of such a model is validated by a faithful replication of the experimental cryo-EM map computed using the coordinates and associated metadata. The functional interpretation of any structuralmore » features in the model and its utilization for future studies can be made in the context of its measure of uncertainty. We applied this protocol to the 3.3-Å map of the mature P22 bacteriophage capsid, a large and complex macromolecular assembly. With this protocol, we identify and annotate previously undescribed molecular interactions between capsid subunits that are crucial to maintain stability in the absence of cementing proteins or cross-linking, as occur in other bacteriophages.« less

Accurate model annotation of a near-atomic resolution cryo-EM map.

PubMed

Hryc, Corey F; Chen, Dong-Hua; Afonine, Pavel V; Jakana, Joanita; Wang, Zhao; Haase-Pettingell, Cameron; Jiang, Wen; Adams, Paul D; King, Jonathan A; Schmid, Michael F; Chiu, Wah

2017-03-21

Electron cryomicroscopy (cryo-EM) has been used to determine the atomic coordinates (models) from density maps of biological assemblies. These models can be assessed by their overall fit to the experimental data and stereochemical information. However, these models do not annotate the actual density values of the atoms nor their positional uncertainty. Here, we introduce a computational procedure to derive an atomic model from a cryo-EM map with annotated metadata. The accuracy of such a model is validated by a faithful replication of the experimental cryo-EM map computed using the coordinates and associated metadata. The functional interpretation of any structural features in the model and its utilization for future studies can be made in the context of its measure of uncertainty. We applied this protocol to the 3.3-Å map of the mature P22 bacteriophage capsid, a large and complex macromolecular assembly. With this protocol, we identify and annotate previously undescribed molecular interactions between capsid subunits that are crucial to maintain stability in the absence of cementing proteins or cross-linking, as occur in other bacteriophages.

Accurate model annotation of a near-atomic resolution cryo-EM map

PubMed Central

Hryc, Corey F.; Chen, Dong-Hua; Afonine, Pavel V.; Jakana, Joanita; Wang, Zhao; Haase-Pettingell, Cameron; Jiang, Wen; Adams, Paul D.; King, Jonathan A.; Schmid, Michael F.; Chiu, Wah

2017-01-01

Electron cryomicroscopy (cryo-EM) has been used to determine the atomic coordinates (models) from density maps of biological assemblies. These models can be assessed by their overall fit to the experimental data and stereochemical information. However, these models do not annotate the actual density values of the atoms nor their positional uncertainty. Here, we introduce a computational procedure to derive an atomic model from a cryo-EM map with annotated metadata. The accuracy of such a model is validated by a faithful replication of the experimental cryo-EM map computed using the coordinates and associated metadata. The functional interpretation of any structural features in the model and its utilization for future studies can be made in the context of its measure of uncertainty. We applied this protocol to the 3.3-Å map of the mature P22 bacteriophage capsid, a large and complex macromolecular assembly. With this protocol, we identify and annotate previously undescribed molecular interactions between capsid subunits that are crucial to maintain stability in the absence of cementing proteins or cross-linking, as occur in other bacteriophages. PMID:28270620

Accurate model annotation of a near-atomic resolution cryo-EM map

DOE PAGES

Hryc, Corey F.; Chen, Dong-Hua; Afonine, Pavel V.; ...

2017-03-07

Electron cryomicroscopy (cryo-EM) has been used to determine the atomic coordinates (models) from density maps of biological assemblies. These models can be assessed by their overall fit to the experimental data and stereochemical information. However, these models do not annotate the actual density values of the atoms nor their positional uncertainty. Here, we introduce a computational procedure to derive an atomic model from a cryo- EM map with annotated metadata. The accuracy of such a model is validated by a faithful replication of the experimental cryo-EM map computed using the coordinates and associated metadata. The functional interpretation of any structuralmore » features in the model and its utilization for future studies can be made in the context of its measure of uncertainty. We applied this protocol to the 3.3-Å map of the mature P22 bacteriophage capsid, a large and complex macromolecular assembly. With this protocol, we identify and annotate previously undescribed molecular interactions between capsid subunits that are crucial to maintain stability in the absence of cementing proteins or cross-linking, as occur in other bacteriophages.« less

ATOMIC RESOLUTION CRYO ELECTRON MICROSCOPY OF MACROMOLECULAR COMPLEXES

PubMed Central

ZHOU, Z. HONG

2013-01-01

Single-particle cryo electron microscopy (cryoEM) is a technique for determining three-dimensional (3D) structures from projection images of molecular complexes preserved in their “native,” noncrystalline state. Recently, atomic or near-atomic resolution structures of several viruses and protein assemblies have been determined by single-particle cryoEM, allowing ab initio atomic model building by following the amino acid side chains or nucleic acid bases identifiable in their cryoEM density maps. In particular, these cryoEM structures have revealed extended arms contributing to molecular interactions that are otherwise not resolved by the conventional structural method of X-ray crystallography at similar resolutions. High-resolution cryoEM requires careful consideration of a number of factors, including proper sample preparation to ensure structural homogeneity, optimal configuration of electron imaging conditions to record high-resolution cryoEM images, accurate determination of image parameters to correct image distortions, efficient refinement and computation to reconstruct a 3D density map, and finally appropriate choice of modeling tools to construct atomic models for functional interpretation. This progress illustrates the power of cryoEM and ushers it into the arsenal of structural biology, alongside conventional techniques of X-ray crystallography and NMR, as a major tool (and sometimes the preferred one) for the studies of molecular interactions in supramolecular assemblies or machines. PMID:21501817

Argonne model analyzes water footprint of biofuels | Argonne National

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more information, please visit science.energy.gov. Different types of biofuels have different researchers analyze those differences. Different types of biofuels have different environmental and water

Bethany Frew | NREL

Science.gov Websites

Research/Teaching Assistant, Stanford University, Stanford, CA (2007-2014) Research Intern, Battelle Analysis Center. Areas of Expertise Energy systems modeling and analysis Linear programming Research Memorial Institute, Columbus, OH (2006-2007) Research Assistant, The Ohio State University, Columbus, OH

Real-Time Photovoltaic and Solar Resource Testing | Photovoltaic Research |

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community toward developing comprehensive PV standards. Each year, NCPV researchers, along with solar performance Bill Marion: Solar radiation resource information, and PV module and system performance modeling NREL Real-Time Photovoltaic and Solar Resource Testing Real-Time Photovoltaic and Solar

Dylan Hettinger | NREL

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Hettinger Photo of Dylan Hettinger Dylan Hettinger Geospatial Data Scientist Dylan.Hettinger @nrel.gov | 303-275-3750 Dylan Hettinger is a member of the Geospatial Data Science team within the Systems Modeling & Geospatial Data Science Group in the Strategic Energy Analysis Center. Areas of Expertise

Supercomputing Drives Innovation - Continuum Magazine | NREL

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years, NREL scientists have used supercomputers to simulate 3D models of the primary enzymes and Scientist, discuss a 3D model of wind plant aerodynamics, showing low velocity wakes and impact on

Computing Systems | High-Performance Computing | NREL

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investigate, build, and test models of complex phenomena or entire integrated systems-that cannot be directly observed or manipulated in the lab, or would be too expensive or time consuming. Models and visualizations

The Particle Adventure | What is fundamental? | Fundamental

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? The modern atom model The scale of the atom What are we looking for? The standard model The standard Major accelerators The event Detectors Detector shapes Modern detectors Typical detector components

The Particle Adventure | Accelerators and Particle Detectors

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? The modern atom model The scale of the atom What are we looking for? The standard model The standard Major accelerators The event Detectors Detector shapes Modern detectors Typical detector components

Inventory of File nam.t00z.smartconus00.tm00.grib2

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(Eta model reduction) [Pa] 014 planetary boundary layer WDIR analysis Wind Direction (from which blowing) [degtrue] 015 planetary boundary layer WIND analysis Wind Speed [m/s] 016 planetary boundary layer RH analysis Relative Humidity [%] 017 planetary boundary layer DIST analysis Geometric Height [m

Modeling and analysis of equipment managers in manufacturing execution systems for semiconductor packaging.

PubMed

Cheng, F T; Yang, H C; Luo, T L; Feng, C; Jeng, M

2000-01-01

Equipment Managers (EMs) play a major role in a Manufacturing Execution System (MES). They serve as the communication bridge between the components of an MES and the equipment. The purpose of this paper is to propose a novel methodology for developing analytical and simulation models for the EM such that the validity and performance of the EM can be evaluated. Domain knowledge and requirements are collected from a real semiconductor packaging factory. By using IDEFO and state diagrams, a static functional model and a dynamic state model of the EM are built. Next, these two models are translated into a Petri net model. This allows qualitative and quantitative analyses of the system. The EM net model is then expanded into the MES net model. Therefore, the performance of an EM in the MES environment can be evaluated. These evaluation results are good references for design and decision making.

Eastern Wind Data Set | Grid Modernization | NREL

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cell was computed by combining these data sets with a composite turbine power curve. Wind power plants wind speed at the site. Adjustments were made for model biases, wake losses, wind gusts, turbine and conversion was also updated to better reflect future wind turbine technology. The 12-hour discontinuity was

Office of Water Prediction

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Toggle navigation National Water Center Home (current) Visualize Map Image Viewer What's New About National Water Center National Water Model National Weather Service National Oceanic and Atmospheric Administration Welcome to the Office of Water Prediction Scientific excellence and innovation driving water

Gregor Henze | Research | NREL

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, certified high-performance building design professional (HBDP), member of ASHRAE, fellow of the Renewable fundamentals, mechanical systems design, energy system modeling, building control and automation systems , advanced solar systems, data analysis for energy scientists and engineers, as well as sustainable building

Hurricane Products

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HOME PAGE Image of NCEP Logo WHERE AMERICA'S CLIMATE AND WEATHER SERVICES BEGIN NCEP Products Inventory Image of horizontal rule Hurricane Products Updated: 6/09/2015 Geophysical fluid dynamics laboratory Hurricane Model (GHM) Hurricane Weather Research and Forecast System (HWRF) * Products Information

NCEP Central Operations

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Climate Climate Prediction Climate Archives Weather Safety Storm Ready NOAA Central Library Photo Library NCO's MISSION * Execute the NCEP operational model suite - Create climate, weather, ocean, space and ) NCO Organizational Chart NOAA's Weather and Climate Operational Supercomputing System is known as

Empiric antibiotic treatment of erythema migrans-like skin lesions as a function of geography: a clinical and cost effectiveness modeling study.

PubMed

Lantos, Paul M; Brinkerhoff, R Jory; Wormser, Gary P; Clemen, Robert

2013-12-01

The skin lesion of early Lyme disease, erythema migrans (EM), is so characteristic that routine practice is to treat all such patients with antibiotics. Because other skin lesions may resemble EM, it is not known whether presumptive treatment of EM is appropriate in regions where Lyme disease is rare. We constructed a decision model to compare the cost and clinical effectiveness of three strategies for the management of EM: Treat All, Observe, and Serology as a function of the probability that an EM-like lesion is Lyme disease. Treat All was found to be the preferred strategy in regions that are endemic for Lyme disease. Where Lyme disease is rare, Observe is the preferred strategy, as presumptive treatment would be expected to produce excessive harm and increased costs. Where Lyme disease is rare, clinicians and public health officials should consider observing patients with EM-like lesions who lack travel to Lyme disease-endemic areas.

Dark Energy Survey Group

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-Chuan Pan, Companions in Type Ia SNe Remnants 2015-03 Daniel Kasen, Type Ia SNe Models 2014-06 Marisa March, DES Supernovae 2014-06 David Chamulak, Supernova Explosion Models 2011-04 Gene Byrd 2010-04 Liz

BASINs and WEPP Climate Assessment Tools (CAT): Case Study Guide to Potential Applications (Final Report)

EPA Science Inventory

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 & ...

Western Wind Data Set | Grid Modernization | NREL

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replicates the stochastic nature of wind power plant output. NREL modeled hysteresis around wind turbine cut where wind speeds are often near wind turbine cut-out (~25 m/s), SCORE output does not replicate the Vestas V90). The hysteresis-corrected SCORE is an attempt to put the wind turbine hysteresis at cut-out

--No Title--

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interoperability emerging infrastructure for data management on computational grids Software Packages Services : ATLAS: Management and Steering: Computing Management Board Software Project Management Board Database Model Group Computing TDR: 4.5 Event Data 4.8 Database and Data Management Services 6.3.4 Production and

Market Acceleration | Wind | NREL

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model of a shrouded wind turbine at the 2016 Collegiate Wind Competition. Workforce Development and accurate information that articulates the potential impacts and benefits of wind and water power on education, rural economic development, public power partnerships, and small wind systems. An

Billy J. Roberts | NREL

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technique Wildlife and energy technology interactions Geothermal technology Education M.S., Certificate in . Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States. Paper the Systems Modeling & Geospatial Data Science Group in the Strategic Energy Analysis Center

Systems Analysis and Integration Publications | Transportation Research |

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data Vehicle analysis Vehicle energy Vehicle modeling Vehicle simulation Wireless power transfer The NREL Systems Analysis and Integration Publications Systems Analysis and Integration Publications NREL publishes technical reports, fact sheets, and other documents about its systems analysis and

National Centers for Environmental Prediction

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System as follows: Changes to the model components Changes to the data assimilation and tropical storm relocation components Changes to the post-processing Changes to output products 1) Changes to the Global the land-atmosphere system from decoupling. 2) Changes to the Global Data Assimilation System (GDAS

Fermi Research Alliance LLC

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dark matter structure in universe The findings - the most accurate made of the universe's present large -scale structure - support the dark matter/dark energy model. Read More Muon g-2 Muon magnet's moment has massive international experiment. Read More Dark Energy Camera DES reveals most accurate measurement of

Modeling recall memory for emotional objects in Alzheimer's disease.

PubMed

Sundstrøm, Martin

2011-07-01

To examine whether emotional memory (EM) of objects with self-reference in Alzheimer's disease (AD) can be modeled with binomial logistic regression in a free recall and an object recognition test to predict EM enhancement. Twenty patients with AD and twenty healthy controls were studied. Six objects (three presented as gifts) were shown to each participant. Ten minutes later, a free recall and a recognition test were applied. The recognition test had target-objects mixed with six similar distracter objects. Participants were asked to name any object in the recall test and identify each object in the recognition test as known or unknown. The total of gift objects recalled in AD patients (41.6%) was larger than neutral objects (13.3%) and a significant EM recall effect for gifts was found (Wilcoxon: p < .003). EM was not found for recognition in AD patients due to a ceiling effect. Healthy older adults scored overall higher in recall and recognition but showed no EM enhancement due to a ceiling effect. A logistic regression showed that likelihood of emotional recall memory can be modeled as a function of MMSE score (p < .014) and object status (p < .0001) as gift or non-gift. Recall memory was enhanced in AD patients for emotional objects indicating that EM in mild to moderate AD although impaired can be provoked with strong emotional load. The logistic regression model suggests that EM declines with the progression of AD rather than disrupts and may be a useful tool for evaluating magnitude of emotional load.

Concentrating Solar Power Projects - Andasol-2 | Concentrating Solar Power

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): ACS/Cobra Group Owner(s) (%): ACS/Cobra Group (100%) EPC Contractor: UTE CT Andasol-2: Cobra (80%) and (Model): UTE CT Andasol-2 (SKAL-ET) Mirror Manufacturer (Model): Flabeg (RP3) # of Heat Collector

SolTrace Background | Concentrating Solar Power | NREL

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codes was written to model a very specific optical geometry, and each one built upon the others in an evolutionary way. Examples of such codes include: OPTDSH, a code written to model circular aperture parabolic

National Centers for Environmental Prediction

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/ VISION | About EMC EMC > NAM > Home NAM Operational Products HIRESW Operational Products Operational Forecast Graphics Experimental Forecast Graphics Verification and Diagnostics Model Configuration Collaborators Documentation and Code FAQ Operational Change Log Parallel Experiment Change Log Contacts

NOAA Climate Test Bed: CFSv.3 Planning Meeting (August 25-26, 2011)

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: Experience of porting CFSv2 NASA Ames SGI ICE platform (Marx) 12:30-14:00 Breakout discussion (1) Group 1A :00 NASA (Suarez) 09:00-09:20 GFDL (Rosati) 09:20-09:40 ECMWF (Molteni) 09:40-10:00 CMCC (Navarra) 10 modeling efforts at other modeling centers (e.g., GFDL, NCAR, NASA, COLA, DOE, ECMWF). Meeting Format: The

Teaching emergency medical services management skills using a computer simulation exercise.

PubMed

Hubble, Michael W; Richards, Michael E; Wilfong, Denise

2011-02-01

Simulation exercises have long been used to teach management skills in business schools. However, this pedagogical approach has not been reported in emergency medical services (EMS) management education. We sought to develop, deploy, and evaluate a computerized simulation exercise for teaching EMS management skills. Using historical data, a computer simulation model of a regional EMS system was developed. After validation, the simulation was used in an EMS management course. Using historical operational and financial data of the EMS system under study, students designed an EMS system and prepared a budget based on their design. The design of each group was entered into the model that simulated the performance of the EMS system. Students were evaluated on operational and financial performance of their system design and budget accuracy and then surveyed about their experiences with the exercise. The model accurately simulated the performance of the real-world EMS system on which it was based. The exercise helped students identify operational inefficiencies in their system designs and highlighted budget inaccuracies. Most students rated the exercise as moderately or very realistic in ambulance deployment scheduling, budgeting, personnel cost calculations, demand forecasting, system design, and revenue projections. All students indicated the exercise was helpful in gaining a top management perspective, and 89% stated the exercise was helpful in bridging the gap between theory and reality. Preliminary experience with a computer simulator to teach EMS management skills was well received by students in a baccalaureate paramedic program and seems to be a valuable teaching tool. Copyright © 2011 Society for Simulation in Healthcare

Ocean Biogeographic Information System

Science.gov Websites

Quantitative Aquatics (Philippines) and the Tulane University Biodiversity Research Institute (USA), which host and easily-modifiable model design is critical for practical applications in wildlife management

Jon Winkler | NREL

Science.gov Websites

residential HVAC systems, residential dehumidification control, energy modeling tools, and BEopt development software used by HVAC manufacturers. Education Ph.D. Mechanical Engineering, University of Maryland B.S

Impact of ergonomic intervention in manual orange harvester among the workers of hilly region in India.

PubMed

Pranav, P K; Patel, Thaneswer

2016-04-07

Manual orange harvesting is very laborious, time consuming and unsafe operation whereas neither mechanical harvesting nor mechanized hand harvesting is possible in north-east India due to its hilly terrains. The awkward postures and repetitive nature of work in orange harvesting, demands a comfortable and appropriate hand harvester for hilly region. The purpose of this study was to develop a manual orange harvester for hilly regions considering the ergonomic parameters, and compare the performance with the existing models of the manual harvester. In this study twenty healthy experienced orchard workers (10 male and 10 female) participated who did not have any previous functional musculoskeletal disorders. We developed a manual orange harvester by eliminating the problems associated with the existing harvesters. The developed model along with existing models was evaluated extensively in the field. During evaluations, heart rate of the subjects was measured and oxygen consumption was predicted to calculate the energy expenditure rate (EER) from the established relationship in the laboratory before the field experiments. Further, performance parameters of orange harvester i.e. plucking rate (PR), damaged quantity (DQ), plucking energy requirement (PER) and discomfort rating were also observed. The PR was 425, 300 and 287 pieces per hour for the developed model (DM), first existing model (EM1) and second existing model (EM2), respectively. The DM showed lower PER (2.14 kJ/piece) followed by EM2 (2.95 kJ/piece) and EM1 (4.02 kJ/piece) which is considered as overall performance as it includes energy per unit of plucking. Further, the body part discomfort score revealed that DM was more comfortable in use followed by EM2 and EM1. The performance of the DM was found better in terms of plucking rate, energy requirement and body part discomfort than the other existing models. Shoulders and neck are the most affected body parts where all subjects felt severe discomfort.

NREL and Sandia National Laboratories to Sharpen Wind Farm Turbine Controls

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| News | NREL NREL and Sandia National Laboratories to Sharpen Wind Farm Turbine Controls NREL and Sandia National Laboratories to Sharpen Wind Farm Turbine Controls April 1, 2016 Researchers at wind turbine modeling. The NREL controls team have been evaluating their control theory in simulations

James Reilly | NREL

Science.gov Websites

experience and expertise in energy projects ranging from 50 kW to 150 MW across distribution and transmission security for Department of Defense Transmission and distribution system design. Education B.S., Energy Working in the Engineering and Modeling Group of NREL's Integrated Applications Center under the Energy

Economic and Financial Analysis Tools | Energy Analysis | NREL

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Economic and Financial Analysis Tools Economic and Financial Analysis Tools Use these economic and . Job and Economic Development Impact (JEDI) Model Use these easy-to-use, spreadsheet-based tools to analyze the economic impacts of constructing and operating power generation and biofuel plants at the

Alternative Fuels Data Center: Electricity Related Links

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-performance safe lithium-ion (Li-ion) batteries for hybrid electric vehicles (HEVs), plug-in HEVs (PHEVs) and ) manufacturers alternative energy vehicles, specializing in battery electric vehicles (BEV) and range extended (NREL) Energy Storage Project is leading the charge on battery thermal management, modeling, and systems

Climate Prediction - NOAA's National Weather Service

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Statistical Models... MOS Prod GFS-LAMP Prod Climate Past Weather Predictions Weather Safety Weather Radio National Weather Service on FaceBook NWS on Facebook NWS Director Home > Climate > Predictions Climate Prediction Long range forecasts across the U.S. Climate Prediction Web Sites Climate Prediction

PRISM Climate Group, Oregon State U

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FAQ PRISM Climate Data The PRISM Climate Group gathers climate observations from a wide range of monitoring networks, applies sophisticated quality control measures, and develops spatial climate datasets to reveal short- and long-term climate patterns. The resulting datasets incorporate a variety of modeling

Marc Henry de Frahan | NREL

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Computing Project, Marc develops high-fidelity turbulence models to enhance simulation accuracy and efficient numerical algorithms for future high performance computing hardware architectures. Research Interests High performance computing High order numerical methods for computational fluid dynamics Fluid

Sandia National Laboratories: Hydrogen Risk Assessment Models toolkit now

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Energy Stationary Power Earth Science Transportation Energy Energy Research Global Security WMD Cyber & Infrastructure Security Global Security Remote Sensing & Verification Research Research Robotics R&D 100 Awards Laboratory Directed Research & Development Technology Deployment Centers

Kevin McCabe | NREL

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the Strategic Energy Analysis Center. Areas of Expertise Geothermal direct use (thermal applications ) Reservoir modeling/simulation, well testing Data analysis and visualization Research Interests Geothermal resource assessment New technologies for geothermal industry (EGS, DU, etc.) Barrier identification and

Kenny Gruchalla | NREL

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feature extraction, human-computer interaction, and physics-based modeling. Professional Experience 2009 ., computer science, University of Colorado at Boulder M.S., computer science, University of Colorado at Boulder B.S., computer science, New Mexico Institute of Mining and Technology

Students To Compete in Model Solar Car Race

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., May 8, 1998 — Middle school students from across Colorado will design, build and race model solar build solar-powered vehicles no larger than 16 inches wide, 24 inches long and 12 inches high. The sun's

NREL and IBM Improve Solar Forecasting with Big Data | Energy Systems

Science.gov Websites

forecasting model using deep-machine-learning technology. The multi-scale, multi-model tool, named Watt-sun the first standard suite of metrics for this purpose. Validating Watt-sun at multiple sites across the

Suzanne Tegan | NREL

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engagement. In addition, she estimates economic impacts (including jobs) from renewable energy using NREL's Jobs and Economic Development Impacts (JEDI) models and has written on economic impacts from

Vahan Gevorgian | NREL

Science.gov Websites

currently working with Transmission and Grid Integration group focused on renewable energy impacts on transmission and interconnection issues and dynamic modeling of variable generation systems. He is involved in

Ilya Chernyakhovskiy | NREL

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Chernyakhovskiy is member of the Markets & Policy Analysis Group in the Strategic Energy Analysis Center . Areas of Expertise Energy policy and market analysis Data analysis and statistical modeling Research

Learn More | Energy Analysis | NREL

Science.gov Websites

flexibility. Value of Demand Response: Quantities from Production Cost Modeling (Presentation) (2014 adding variable renewable generation to the grid. Market Design Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation (2014) Reviewed market design approaches focused on

Argonne Collaborative Center for Energy Storage Science (ACCESS)

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Analysis and Diagnostics Laboratory (EADL) Post- Test Facility Access Proven Capabilities Argonne has Analysis, Modeling and Prototyping (CAMP) Electrochemical Analysis and Diagnostics Laboratory (EADL) Post -Test Facility Argonne User Facilities Industries Transportation Consumer Electronics Defense Electric

Pin-Ching Maness | NREL

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Pin-Ching Maness Photo of Pin-Ching Maness Pin-Ching Maness Group Research Manager III-Molecular University, 1974 Professional Experience Principal Group Manager, Photobiology Group, National Renewable in Rubrivivax gelatinosus," PLOS ONE (2014) Illustration of a model of carbon monoxide and

National Centers for Environmental Prediction

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Organization Search Enter text Search Navigation Bar End Cap Search EMC Go Branches Global Climate and Weather / VISION | About EMC EMC > GLOBAL BRANCH > GFS > HOME Home Implementations Documentation References Products Model Guidance Performance Developers VLab GLOBAL FORECAST SYSTEM Global Data

Energy Systems Integration News | Energy Systems Integration Facility |

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technologies and business models help utilities and tech companies address integrate distributed energy invaders: Disruptive technologies crowding the utility space" at the Utilities in a Time of Change and Franyutti, Vice-President, Energy Business Group, Mexichem

International Maps | Geospatial Data Science | NREL

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International Maps International Maps This map collection provides examples of how geographic information system modeling is used in international resource analysis. The images below are samples of

Saving tourists: the status of emergency medical services in California's National Parks.

PubMed

Heggie, Travis W; Heggie, Tracey M

2009-01-01

Providing emergency medical services (EMS) in popular tourist destinations such as National Parks requires an understanding of the availability and demand for EMS. This study examines the EMS workload, EMS transportation methods, EMS funding, and EMS provider status in California's National Park Service units. A retrospective review of data from the 2005 Annual Emergency Medical Services Report for National Park Service (NPS) units in California. Sixteen NPS units in California reported EMS activity. EMS program funding and training costs totaled USD $1,071,022. During 2005 there were 84 reported fatalities, 910 trauma incidents, 663 non-cardiac medicals, 129 cardiac incidents, and 447 first aid incidents. Sequoia and Kings Canyon National Parks, Yosemite National Park, Golden Gate National Recreation Area, and Death Valley National Park accounted for 83% of the total EMS case workload. Ground transports accounted for 85% of all EMS transports and Emergency Medical Technicians with EMT-basic (EMT-B) training made up 76% of the total 373 EMS providers. Providing EMS for tourists can be a challenging task. As tourist endeavors increase globally and move into more remote environments, the level of EMS operations in California's NPS units can serve as a model for developing EMS operations serving tourist populations.

NREL: International Activities - U.S.-China Renewable Energy Partnership

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Solar PV and TC88 Wind working groups. Renewable Energy Technology These projects enhance policies to Collaboration on innovative business models and financing solutions for solar PV deployment. Micrositing and O development. Current Projects Recommendations for photovoltaic (PV) and wind grid code updates. New energy

NREL: Renewable Resource Data Center - Solar Resource Information

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Solar Resource Information The Renewable Resource Data Center (RReDC) offers a collection of data and tools to assist with solar resource research. Learn more about RReDC's solar resource: Data Models siting. In addition, RReDC offers a solar resource glossary, unit conversion information, and an

NREL: Renewable Resource Data Center - Biomass Resource Information

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Biomass Resource Information Photo of corn stover biomass resource Corn stover The Renewable Resource Data Center (RReDC) offers a collection of data and tools to assist with biomass resource research . Learn more about RReDC's biomass resource: Data Models and tools Publications Related links Biomass

National Centers for Environmental Prediction

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: Influence of convective parameterization on the systematic errors of Climate Forecast System (CFS) model ; Climate Dynamics, 41, 45-61, 2013. Saha, S., S. Pokhrel and H. S. Chaudhari : Influence of Eurasian snow Organization Search Enter text Search Navigation Bar End Cap Search EMC Go Branches Global Climate and Weather

Estimates of cost-effectiveness of prehospital continuous positive airway pressure in the management of acute pulmonary edema.

PubMed

Hubble, Michael W; Richards, Michael E; Wilfong, Denise A

2008-01-01

To estimate the cost-effectiveness of continuous positive airway pressure (CPAP) in managing prehospital acute pulmonary edema in an urban EMS system. Using estimates from published reports on prehospital and emergency department CPAP, a cost-effectiveness model of implementing CPAP in a typical urban EMS system was derived from the societal perspective as well as the perspective of the implementing EMS system. To assess the robustness of the model, a series of univariate and multivariate sensitivity analyses was performed on the input variables. The cost of consumables, equipment, and training yielded a total cost of $89 per CPAP application. The theoretical system would be expected to use CPAP 4 times per 1000 EMS patients and is expected to save 0.75 additional lives per 1000 EMS patients at a cost of $490 per life saved. CPAP is also expected to result in approximately one less intubation per 6 CPAP applications and reduce hospitalization costs by $4075 per year for each CPAP application. Through sensitivity analyses the model was verified to be robust across a wide range of input variable assumptions. Previous studies have demonstrated the clinical effectiveness of CPAP in the management of acute pulmonary edema. Through a theoretical analysis which modeled the costs and clinical benefits of implementing CPAP in an urban EMS system, prehospital CPAP appears to be a cost-effective treatment.

NOUS41 KWBC 061721 AAA

Science.gov Websites

. UPCOMING CHANGES...THE CHANGES LISTED BELOW WILL BE INCORPORATED INTO THE MODEL ON THE EFFECTIVE CHANGE /WPS/. IF YOU HAVE ANY QUESTIONS CONCERNING THESE CHANGES...PLEASE CONTACT: GEOFF DIMEGO NCEP

Thermochemical Conversion Techno-Economic Analysis | Bioenergy | NREL

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Conversion Techno-Economic Analysis Thermochemical Conversion Techno-Economic Analysis NREL's Thermochemical Conversion Analysis team focuses on the conceptual process design and techno-economic analysis , detailed process models, and TEA developed under this project provide insights into the potential economic

Nicholas Gilroy | NREL

Science.gov Websites

Nicholas Gilroy desc Nicholas Gilroy Geospatial Data Scientist II Nicholas.Gilroy@nrel.gov | 303 -384-7354 Nicholas Gilroy is a member of the Geospatial Data Science team within the Systems Modeling (AAG) Featured Publications Veda, Santosh, Zhang, Yingchen, Tan, Jin, Chartan, Erol Kevin, Gilroy

Vehicle Technology Simulation and Analysis Tools | Transportation Research

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| NREL Vehicle Technology Simulation and Analysis Tools Vehicle Technology Simulation and vehicle technologies with the potential to achieve significant fuel savings and emission reductions. NREL : Automotive Deployment Options Projection Tool The ADOPT modeling tool estimates vehicle technology

Hannah Miller | NREL

Science.gov Websites

Hannah Miller desc Hannah Miller Group Administrative Assistant Hannah.Miller@nrel.gov | 303-275 -3671 Hannah Miller is staff support for the Applied Engineering and Modeling Group in the Integrated Applications Center. Hannah is a former office manager, communications director, and sales consultant for

Untitled Document

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practices of modeling, generalization, and justification. Narrative examples from education research Science (NCISLA) (1995-2004) POWERFUL PRACTICES IN MATHEMATICS AND SCIENCE A research-based multimedia product that distills key ideas from a significant body of research. Comprised of two CD-s and a 40-page

Resource Planning Model | Energy Analysis | NREL

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balancing authority. An image of a overlapping circles labelled Resource, Technical, Economic, and Market competing electricity technologies. An image of a overlapping circles labelled Resource, Technical, Economic ; Federal Resource Planning. Volume 1: Sectoral, Technical, and Economic Trends, NREL Technical Report (2016

Shawn Sheng | NREL

Science.gov Websites

experience includes mechanical and electrical system modeling and analysis, data sensing and sensor placement . Education Ph.D. in Mechanical Engineering, University of Massachusetts at Amherst; M.S. in Electrical Engineering, Institute of Electrical Engineering, Chinese Academy of Sciences; B.S. in Electrical Engineering

Climate Prediction Center

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Climate Stratosphere Pacific Islands International Desks Climate.gov Climate Test Bed (CTB) JAWF USAID FEWS-NET NWS / NCEP Aviation Weather Center Climate Prediction Center Environmental Modeling Center non-operational server hosts the redesigned web pages developed, thus far, as part of the Climate

Emergency medicine: what keeps me, what might lose me? A narrative study of consultant views in Wales.

PubMed

James, Ffion; Gerrard, Frances

2017-07-01

EDs are currently under intense pressure due to increased patient demand. There are major issues with retention of senior personnel, making the specialty a less attractive choice for junior doctors. This study aims to explore what attracted EM consultants to their career and keeps them there. It is hoped this can inform recruitment strategies to increase the popularity of EM to medical students and junior doctors, many of whom have very limited EM exposure. Semistructured interviews were conducted with 10 consultants from Welsh EDs using a narrative approach. Three main themes emerged that influenced the career choice of the consultants interviewed: (1) early exposure to positive EM role models; (2) non-hierarchical team structure; (3) suitability of EM for flexible working. The main reason for consultants leaving was the pressure of work impacting on patient care. The study findings suggest that EM consultants in post are positive about their careers despite the high volume of consultant attrition. This study reinforces the need for dedicated undergraduate EM placements to stimulate interest and encourage medical student EM aspirations. Consultants identified that improving the physical working environment, including organisation, would increase their effectiveness and the attractiveness of EM as a long-term career. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Temporal changes in endmember abundances, liquid water and water vapor over vegetation at Jasper Ridge

NASA Technical Reports Server (NTRS)

Roberts, Dar A.; Green, Robert O.; Sabol, Donald E.; Adams, John B.

1993-01-01

Imaging spectrometry offers a new way of deriving ecological information about vegetation communities from remote sensing. Applications include derivation of canopy chemistry, measurement of column atmospheric water vapor and liquid water, improved detectability of materials, more accurate estimation of green vegetation cover and discrimination of spectrally distinct green leaf, non-photosynthetic vegetation (NPV: litter, wood, bark, etc.) and shade spectra associated with different vegetation communities. Much of our emphasis has been on interpreting Airborne Visible/Infrared Imaging Spectrometry (AVIRIS) data spectral mixtures. Two approaches have been used, simple models, where the data are treated as a mixture of 3 to 4 laboratory/field measured spectra, known as reference endmembers (EM's), applied uniformly to the whole image, to more complex models where both the number of EM's and the types of EM's vary on a per-pixel basis. Where simple models are applied, materials, such as NPV, which are spectrally similar to soils, can be discriminated on the basis of residual spectra. One key aspect is that the data are calibrated to reflectance and modeled as mixtures of reference EM's, permitting temporal comparison of EM fractions, independent of scene location or data type. In previous studies the calibration was performed using a modified-empirical line calibration, assuming a uniform atmosphere across the scene. In this study, a Modtran-based calibration approach was used to map liquid water and atmospheric water vapor and retrieve surface reflectance from three AVIRIS scenes acquired in 1992 over the Jasper Ridge Biological Preserve. The data were acquired on June 2nd, September 4th and October 6th. Reflectance images were analyzed as spectral mixtures of reference EM's using a simple 4 EM model. Atmospheric water vapor derived from Modtran was compared to elevation, and community type. Liquid water was compare to the abundance of NPV, Shade and Green Vegetation (VG) for select sites to determine whether a relationship existed, and under what conditions the relationship broke down. Temporal trends in endmember fractions, liquid water and atmospheric water vapor were investigated also. The combination of spectral mixture analysis and the Modtran based atmospheric/liquid water models was used to develop a unique vegetation community description.

WHATCH’EM: A Weather-Driven Energy Balance Model for Determining Water Height and Temperature in Container Habitats for Aedes aegypti

PubMed Central

Steinhoff, Daniel F.; Monaghan, Andrew J.; Eisen, Lars; Barlage, Michael J.; Hopson, Thomas M.; Tarakidzwa, Isaac; Ortiz-Rosario, Karielys; Lozano-Fuentes, Saul; Hayden, Mary H.; Bieringer, Paul E.; Welsh Rodríguez, Carlos M.

2017-01-01

The mosquito virus vector Aedes (Ae.) aegypti exploits a wide range of containers as sites for egg laying and development of the immature life stages, yet the approaches for modeling meteorologically sensitive container water dynamics have been limited. This study introduces the Water Height and Temperature in Container Habitats Energy Model (WHATCH’EM), a state-of-the-science, physically based energy balance model of water height and temperature in containers that may serve as development sites for mosquitoes. The authors employ WHATCH’EM to model container water dynamics in three cities along a climatic gradient in México ranging from sea level, where Ae. aegypti is highly abundant, to ~2100 m, where Ae. aegypti is rarely found. When compared with measurements from a 1-month field experiment in two of these cities during summer 2013, WHATCH’EM realistically simulates the daily mean and range of water temperature for a variety of containers. To examine container dynamics for an entire season, WHATCH’EM is also driven with field-derived meteorological data from May to September 2011 and evaluated for three commonly encountered container types. WHATCH’EM simulates the highly nonlinear manner in which air temperature, humidity, rainfall, clouds, and container characteristics (shape, size, and color) determine water temperature and height. Sunlight exposure, modulated by clouds and shading from nearby objects, plays a first-order role. In general, simulated water temperatures are higher for containers that are larger, darker, and receive more sunlight. WHATCH’EM simulations will be helpful in understanding the limiting meteorological and container-related factors for proliferation of Ae. aegypti and may be useful for informing weather-driven early warning systems for viruses transmitted by Ae. aegypti. PMID:29123363

Renewable Energy used in State Renewable Portfolio Standards Yielded

Science.gov Websites

. Renewable Portfolio Standards also shows national water withdrawals and water consumption by fossil-fuel methodologies, while recognizing that states could perform their own more-detailed assessments," NREL's , respectively. Ranges are presented as the models and methodologies used are sensitive to multiple parameters

Computer-Aided Engineering | Wind | NREL

Science.gov Websites

Computes coupled section properties of composite blades for beam-type models Inputs are the airfoil shape approach BModes Computes coupled mode shapes and frequencies of blades and towers Inputs are the boundary -Coordinate transformation Transforms the cumulative dynamics of spinning rotor blades into the non-rotating

Data Visualization and Geospatial Tools | Geospatial Data Science | NREL

Science.gov Websites

renewable resources are available in a specific areas. General Analysis Renewable Energy Atlas View the geographic distribution of wind, solar, geothermal, hydropower, and biomass resources in the United States . Solar and Wind Energy Resource Assessment (SWERA) Model Access international renewable energy resource

Neutrinos

Science.gov Websites

Neutrinos What are they? Neutrinos are members of the Standard Model, belonging to a class of the mass could be and the mass differences between flavors of neutrinos, although there are many current experiments designed to probe this question. The difficulty lies in the fact that neutrinos are

Noah Pflaum | NREL

Science.gov Websites

| 303-384-7527 Noah joined NREL in 2017 after having worked as a consulting building energy analyst. His to smooth the integration of building energy modeling into the building design process. Noah applies a variety of analytical techniques to solve problems associated with building performance as they

Mediation of early maladaptive schemas between perceptions of parental rearing style and personality disorder symptoms.

PubMed

Thimm, Jens C

2010-03-01

In schema therapy (ST), early maladaptive schemas (EMS) are proposed to be the defining core of personality disorders. Adverse relational experiences in childhood are assumed to be the main cause for the development of EMS. The present study explored the links between perceived parental rearing behaviours, EMS, and personality disorder symptoms in a clinical sample (N=108). Results from mediation analyses suggest that EMS mediate the relationships between recalled parenting rearing behaviours and personality disorder symptoms. Findings give support to the theoretical model ST is based on.

Grid Integration Research | Wind | NREL

Science.gov Websites

-generated simulation of a wind turbine. Wind Power Plant Modeling and Simulation Engineers at the National computer-aided engineering tool, FAST, as well as their wind power plant simulation tool, Wind-Plant

Grid Data and Tools | Grid Modernization | NREL

Science.gov Websites

technologies and strategies, including renewable resource data sets and models of the electric power system . Renewable Resource Data A library of resource information to inform the design of efficient, integrated

Prototypic automated continuous recreational water quality monitoring of nine Chicago beaches

USGS Publications Warehouse

Dawn Shively,; Nevers, Meredith; Cathy Breitenbach,; Phanikumar, Mantha S.; Kasia Przybyla-Kelly,; Ashley M. Spoljaric,; Richard L. Whitman,

2015-01-01

Predictive empirical modeling is used in many locations worldwide as a rapid, alternative recreational water quality management tool to eliminate delayed notifications associated with traditional fecal indicator bacteria (FIB) culturing (referred to as the persistence model, PM) and to prevent errors in releasing swimming advisories. The goal of this study was to develop a fully automated water quality management system for multiple beaches using predictive empirical models (EM) and state-of-the-art technology. Many recent EMs rely on samples or data collected manually, which adds to analysis time and increases the burden to the beach manager. In this study, data from water quality buoys and weather stations were transmitted through cellular telemetry to a web hosting service. An executable program simultaneously retrieved and aggregated data for regression equations and calculated EM results each morning at 9:30 AM; results were transferred through RSS feed to a website, mapped to each beach, and received by the lifeguards to be posted at the beach. Models were initially developed for five beaches, but by the third year, 21 beaches were managed using refined and validated modeling systems. The adjusted R2 of the regressions relating Escherichia coli to hydrometeorological variables for the EMs were greater than those for the PMs, and ranged from 0.220 to 0.390 (2011) and 0.103 to 0.381 (2012). Validation results in 2013 revealed reduced predictive capabilities; however, three of the originally modeled beaches showed improvement in 2013 compared to 2012. The EMs generally showed higher accuracy and specificity than those of the PMs, and sensitivity was low for both approaches. In 2012 EM accuracy was 70–97%; specificity, 71–100%; and sensitivity, 0–64% and in 2013 accuracy was 68–97%; specificity, 73–100%; and sensitivity 0–36%. Factors that may have affected model capabilities include instrument malfunction, non-point source inputs, and sparse calibration data. The modeling system developed is the most extensive, fully-automated system for recreational water quality developed to date. Key insights for refining and improving large-scale empirical models for beach management have been developed through this multi-year effort.

NREL Kicks Off Next Phase of Advanced Computer-Aided Battery Engineering |

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lithium-ion (Li-ion) batteries, known as a multi-scale multi-domain (GH-MSMD) model framework, was News | NREL Kicks Off Next Phase of Advanced Computer-Aided Battery Engineering NREL Kicks Off Next Phase of Advanced Computer-Aided Battery Engineering March 16, 2016 NREL researcher looks across

RAP "Rapid Refresh" Products

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HOME PAGE Image of NCEP Logo WHERE AMERICA'S CLIMATE AND WEATHER SERVICES BEGIN NCEP Products Inventory Image of horizontal rule Rapid Refresh (RAP) Products Updated: 11/28/2016 * Information about the rap.tccz.awp243fxx.grib2 Not Available RAP - BUFR Sounding products Model Runs every hour (00z-23z) Filename Inventory

Data Modeling, Feature Extraction, and Classification of Magnetic and EMI Data, ESTCP Discrimination Study, Camp Sibert, AL. Demonstration Report

DTIC Science & Technology

2008-09-01

Figure 19. Misfit versus depth curve for the EM63 Pasion -Oldenburg model fit to anomaly 649. Two cases are considered: (i) using all the data which...selection of optimal models; c) Fitting of 2- and 3-dipole Pasion -Oldenburg models to the EM63 cued- interrogation data and selection of optimal models...Hart et al., 2001; Collins et al., 2001; Pasion & Oldenburg, 2001; Zhang et al., 2003a, 2003b; Billings, 2004). The most promising discrimination

Data and Tools - Alphabetical Listing | NREL

Science.gov Websites

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

The Modeling of Coupled Electromagnetic-Thermo-Mechanical Laser Interactions and Microstructural Behavior of Energetic Aggregates

DTIC Science & Technology

2015-01-01

analytical Beer - Lambert absorption profile to model laser heating of pure energetic crystals without considering any EM wave propagation effects...temperature. These aggregates were studied using both an analytical distribution for laser heating following Beer - Lambert absorption and the full EM finite...surface (ysurface - y) and material absorption coefficient, α, following a Beer - Lambert absorption relation given by , = !()

Renewable Energy on the Front Lines - Continuum Magazine | NREL

Science.gov Websites

, vehicles, the microgrid, and intelligent controls. Functional models of this system could be used to of the multi-year, multi-agency Smart Power Infrastructure Demonstration for Energy Reliability and Security (SPIDERS) project, which focuses on improving energy surety for military installations. Funded by

Staff | Computational Science | NREL

Science.gov Websites

develops and leads laboratory-wide efforts in high-performance computing and energy-efficient data centers Professional IV-High Perf Computing Jim.Albin@nrel.gov 303-275-4069 Ananthan, Shreyas Senior Scientist - High -Performance Algorithms and Modeling Shreyas.Ananthan@nrel.gov 303-275-4807 Bendl, Kurt IT Professional IV-High

ADOPT: Automotive Deployment Options Projection Tool | Transportation

Science.gov Websites

new model options by combining high-selling powertrains and high-selling vehicle platforms. NREL has . Screenshot of the ADOPT user interface, with two simulation scenario options (low tech and high tech emissions. Biomass Market Dynamics Supporting the Large-Scale Deployment of High-Octane Fuel Production in

NREL: International Activities - Pakistan Resource Maps

Science.gov Websites

. The high-resolution (1-km) annual wind power maps were developed using a numerical modeling approach along with NREL's empirical validation methodology. The high-resolution (10-km) annual and seasonal KB) | High-Res (ZIP 281 KB) 40-km Resolution Annual Maps (Direct) Low-Res (JPG 156 KB) | High-Res

EMC Global Climate And Weather Modeling Branch Personnel

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Comparison Statistics which includes: NCEP Raw and Bias-Corrected Ensemble Domain Averaged Bias NCEP Raw and Bias-Corrected Ensemble Domain Averaged Bias Reduction (Percents) CMC Raw and Bias-Corrected Control Forecast Domain Averaged Bias CMC Raw and Bias-Corrected Control Forecast Domain Averaged Bias Reduction

NREL Partners with California's Santa Clara Valley Transportation Authority

Science.gov Websites

Automotive Systems Technology Simulator (FASTSim) - a high-level simulation tool for estimating the impact of , manager of the Transportation Systems Group in NREL's Transportation and Hydrogen Systems Center. " ;NREL will provide modeling and analytics on the potential scope of energy services associated with VGI

Smart Grid Educational Series | Energy Systems Integration Facility | NREL

Science.gov Websites

generation through transmission, all the way to the distribution infrastructure. Download presentation | Text on key takeaways from breakout group discussions. Learn more about the workshop. Text Version Text presentation PDF | Text Version Using MultiSpeak Data Model Standard & Essence Anomaly Detection for ICS

Weather Safety - NOAA's National Weather Service

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Statistical Models... MOS Prod GFS-LAMP Prod Climate Past Weather Predictions Weather Safety Weather Radio National Weather Service on FaceBook NWS on Facebook NWS Director Home > Safety Weather Safety This page weather safety. StormReady NOAA Weather Radio Emergency Managers Information Network U.S. Hazard Assmt

MINOS for the Public

Science.gov Websites

fit into the Standard Model of particle physics. More Neutrino Sites holds links to other informative phenomena known as neutrino oscillations. The experiment uses a beam of neutrino particles produced by the NuMI beamline facility - Neutrinos at the Main Injector. The beam of neutrinos is sent through the two

Technology and Performance Analysis Tools | Energy Analysis | NREL

Science.gov Websites

optimize renewable energy and energy efficiency technologies for your project. Many of these tools can be the consumer or energy professional. Biomass Scenario Model (BSM) Determine which supply chain changes (BLCC) Analyze capital investments in buildings. Includes the Energy Escalation Rate Calculator 2.0-15

Student Engagements Help Educate and Boost Workforce Development -

Science.gov Websites

Continuum Magazine | NREL Two young men assemble the model of a house. Two students assemble the future by having students learn about building renewable energy technologies, as well as offering estimated $65 billion in damages. The disaster also inspired students from New Jersey's Stevens Institute of

Climate Prediction Center - Expert Assessments: East Pacific Hurricane

Science.gov Websites

influence seasonal eastern Pacific hurricane activity, along with climate model forecasts. The outlook also National Weather Service NWS logo - Click to go to the NWS home page Climate Prediction Center Site Map Administration (NOAA) Climate Prediction Center (CPC), and is produced in collaboration with scientists from the

Rebecca Hanes | NREL

Science.gov Websites

cycle inventories Economic and environmentally extended input-output analysis Sustainable design and models for sustainable design and optimization of processes, supply chains and life cycles Interactions engineering design and assessment." Doctoral dissertation, The Ohio State University, 2015. Hanes

News | Computing

Science.gov Websites

Support News Publications Computing for Experiments Computing for Neutrino and Muon Physics Computing for Collider Experiments Computing for Astrophysics Research and Development Accelerator Modeling ComPASS - Impact of Detector Simulation on Particle Physics Collider Experiments Daniel Elvira's paper "Impact

OHD/HL - Staff

Science.gov Websites

Laboratory Branches Hydrologic Software Engineering Branch (HSEB) Hydrologic Science and Modeling Branch (HSMB) General Info Publications Documentation Software Standard and Guidelines Contact Us HL Staff resources and services. Staff Directory Chief, Hydrology Laboratory; Chief, Hydrologic Software Engineering

Thermochemical Processes | Bioenergy | NREL

Science.gov Websites

model catalysts appear on a montage of images of wood chips, liquid gasoline, a gas tanker truck, and a , pipes, and hoses, pouring a liquid from a large hose into a bucket. Integration, Scale-Up, and Piloting

Department of the Navy Transformation Plan: FY 2014-2016

Science.gov Websites

alignment don business priorities (fy14-16) strategic opportunities for transformation don institutional Closing... summary don transformation model Download PDF Submit an Idea Department of the Navy Transformation Plan FY 2014-2016

A Study of Wind Turbine Comprehensive Operational Assessment Model Based on EM-PCA Algorithm

NASA Astrophysics Data System (ADS)

Zhou, Minqiang; Xu, Bin; Zhan, Yangyan; Ren, Danyuan; Liu, Dexing

2018-01-01

To assess wind turbine performance accurately and provide theoretical basis for wind farm management, a hybrid assessment model based on Entropy Method and Principle Component Analysis (EM-PCA) was established, which took most factors of operational performance into consideration and reach to a comprehensive result. To verify the model, six wind turbines were chosen as the research objects, the ranking obtained by the method proposed in the paper were 4#>6#>1#>5#>2#>3#, which are completely in conformity with the theoretical ranking, which indicates that the reliability and effectiveness of the EM-PCA method are high. The method could give guidance for processing unit state comparison among different units and launching wind farm operational assessment.

Model-based local density sharpening of cryo-EM maps

PubMed Central

Jakobi, Arjen J; Wilmanns, Matthias

2017-01-01

Atomic models based on high-resolution density maps are the ultimate result of the cryo-EM structure determination process. Here, we introduce a general procedure for local sharpening of cryo-EM density maps based on prior knowledge of an atomic reference structure. The procedure optimizes contrast of cryo-EM densities by amplitude scaling against the radially averaged local falloff estimated from a windowed reference model. By testing the procedure using six cryo-EM structures of TRPV1, β-galactosidase, γ-secretase, ribosome-EF-Tu complex, 20S proteasome and RNA polymerase III, we illustrate how local sharpening can increase interpretability of density maps in particular in cases of resolution variation and facilitates model building and atomic model refinement. PMID:29058676

Modeling the propagation of electromagnetic waves over the surface of the human body

NASA Astrophysics Data System (ADS)

Vendik, I. B.; Vendik, O. G.; Kirillov, V. V.; Pleskachev, V. V.; Tural'chuk, P. A.

2016-12-01

The results of modeling and an experimental study of electromagnetic (EM) waves in microwave range propagating along the surface of the human body have been presented. The parameters of wave propagation, such as the attenuation and phase velocity, have also been investigated. The calculation of the propagation of EM waves by the numerical method FDTD (finite difference time domain), as well as the use of the analytical model of the propagation of the EM wave along flat and curved surfaces has been fulfilled. An experimental study on a human body has been conducted. It has been shown that creeping waves are slow and exhibit a noticeable dispersion, while the surface waves are dispersionless and propagate at the speed of light in free space. A comparison of the results of numerical simulation, analytical calculation, and experimental investigations at a frequency of 2.55 GHz has been carried out.

CBB Portal @ PNNL

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Search PNNL Home About Research Publications Jobs News Contacts Computational Biology and Bioinformatics , and engineering to transform the data into knowledge. This new quantitative, predictive biology is to empirical modeling and physics-based simulations. CBB research seeks to: Understand. Understanding

About NCEP

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through programs of applied research in data analysis, modeling and product development in partnership with the broader research community. The National Hurricane Center (NHC) provides official NWS ) provides analysis and forecast products, specializing in quantitative precipitation forecasts to five days

Katherine Young, P.E. | NREL

Science.gov Websites

) Water rights and resources engineering Database planning and development Research Interests Collection lean principles to streamline exploration and drilling and reduce error/risk Research, development and Groundwater modeling Quantitative methods in water resource engineering Water resource engineering and

Scientific Staff | ast.noao.edu

Science.gov Websites

Emeritus Double stars; stellar rotation; stellar characteristics; publication practices in astronomy Thai formation; infrared astronomy and instrumentation NOAO Associate Director for Kitt Peak National Observatory clumpy media, software development, modeling & SED fitting, big data, HPC in astronomy, visualization

Arpit Bhatt | NREL

Science.gov Websites

Center to provide techno-economic analysis for advanced biofuel production designs. He holds a Master of pollutant modeling Research Interests Sustainability analysis Techno-economic analysis Air pollutant ., Heath, G. Economic implications of incorporating emission controls to mitigate air pollutants emitted

National Centers for Environmental Prediction

Science.gov Websites

Organization Search Enter text Search Navigation Bar End Cap Search EMC Go Branches Global Climate and Weather / VISION | About EMC Click on a model logo to go to its home page RTOFS Global RTOFS Global RTOFS Atlantic

Sandia National Laboratories: Predicting Performance Margins

Science.gov Websites

Technology Partnerships Business, Industry, & Non-Profits Government Universities Center for Development Agreement (CRADA) Strategic Partnership Projects, Non-Federal Entity (SPP/NFE) Agreements New areas of Materials Sciences, leveraging both experimental and modeling expertise at Sandia. The PPM

Agroecosystems & Environment | National Agricultural Library

Science.gov Websites

Skip to main content Home National Agricultural Library United States Department of Agriculture Ag useful formats (maps, tables, graphs), Agricultural Products html Useful to Usable: Developing usable integrated expertise in applied climatology, crop modeling, agronomy, cyber-technology, agricultural

Plants & Crops | National Agricultural Library

Science.gov Websites

Skip to main content Home National Agricultural Library United States Department of Agriculture Ag , tables, graphs), Agricultural Products html Useful to Usable: Developing usable climate science for climatology, crop modeling, agronomy, cyber-technology, agricultural economics, sociology, Extension and

Carrie Farberow | NREL

Science.gov Websites

important in addressing energy and environmental challenges Elucidating reaction mechanisms using combined selectivity under reaction conditions Developing improved models to bridge the pressure gap and materials gap Identity," ACS Catalysis (2016) "Density Functional Theory Calculations and Analysis of Reaction

Keith Wipke | NREL

Science.gov Websites

Drivetrain Hybridization, SAE Technical Papers (2001) Modeling Grid-Connected Hybrid Electric Vehicles Using -Friendly Advanced Powertrain Simulation using a Combined Backward/Forward Approach, IEEE Transactions on Vehicular Technology (1999) Using an Advanced Vehicle Simulator (ADVISOR) to Guide Hybrid Vehicle Propulsion

Topical Treatment With an Agent Disruptive to P. acnes Biofilm Provides Positive Therapeutic Response: Results of a Randomized Clinical Trial.

PubMed

Bernhardt, Michael J; Myntti, Matthew F

2016-06-01

The traditional disease model of acne has been one of follicular plugging due to 'sticky epithelial cells' associated with increased sebum production with deep follicular anaerobic conditions favoring P. acnes- generated inflammation. P. acnes biofilms have been found more frequently in patients with acne than controls. Biofilms are genetically coded to create adhesion to the pilosebaceous unit followed by production of a mucopolysaccharide coating capable of binding to lipid surfaces. Traditional therapies for acne have involved mixtures of oral and topical antibiotics admixed with topical keratolytics and retinoids, which are aimed at traditional bacterial reduction as well as downregulating the inflammatory cascade. These approaches are limited by side effect and compliance/tolerability issues. As the P. acnes biofilm may, in fact, be the instigator of this process, we studied the use of a topical agent designed to reduce the P. acnes biofilm to see if reducing the biofilm would be therapeutically efficacious. We present data of a proprietary topical non-prescription agent with a novel pharmaco mechanism designed to attack the biofilm produced by P. acnes. Our data shows a decrease of inflammatory lesions by 44% and non-inflammatory lesions by 32% after 12 weeks and also provided for a meaningful improvement in the quality of life of the patients in the study. These improvements were achieved with a product that was not associated with burning, chafing, irritation, or erythema, which can be seen with topical treatments. It is apparent from this study that by addressing the biofilm which protects the P. acnes bacteria through the use of the Acne Gel, the incidence of acne symptoms can be greatly reduced, while having no negative impacts on the patients' skin (ClinicalTrials.gov registry number NCT02404285).

J Drugs Dermatol. 2016;15(6):677-683.

Computer-Aided Engineering for Electric-Drive Vehicle Batteries (CAEBAT) |

Science.gov Websites

Battery Cell under Quasi-Static Indentation Tests," J. Power Sources, Submitted. J. Marcicki -Ion Cell under Mechanical Abuse," J. Power Sources, 290, p. 102-113 (2015). http://dx.doi.org Model Order Reduction," J. Power Sources, 273(1), p.1226-1236 (2015). http://dx.doi.org/10.1016

JEDI for Advanced Users | Jobs and Economic Development Impact Models |

Science.gov Websites

NREL for Advanced Users JEDI for Advanced Users The Jobs and Economic Development Impact (JEDI discussion. Users with more experience with power generation projects and/or economic impact analysis can Economic Analysis provides data for more than 400 economic sectors. Advanced users can refer to these

NREL's EVI-Pro Lite Tool Paves the Way for Future Electric Vehicle

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Electric Vehicle Infrastructure Planning NREL's EVI-Pro Lite Tool Paves the Way for Future Electric Vehicle electric vehicle charging station To assist state and local governments anticipating this type of growth in simplified version of the Electric Vehicle Infrastructure Projection Tool (EVI-Pro) model. Combining a sleek

Leaders in Future and Current Technology Teaming Up to Improve Ethanol

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and NREL expertise to: Develop improvements in process throughput and water management for dry mill , Complete an overall process engineering model of the dry mill technology that identifies new ways to and operation of "dry mill" plants that currently produce ethanol from corn starch. Dry

Alternative Fuels Data Center: Diesel Vehicle Availability

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use biodiesel; however, be sure to check your original equipment manufacturer (OEM) engine warranty to ensure that higher-level blends of this alternative fuel are approved for use. B5 is approved for use in Vehicles Use the Alternative Fuel and Advanced Vehicle Search to browse the available models approved by

Concentrating Solar Power Projects - Borges Termosolar | Concentrating

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CSP plant is hybridized with two biomass units (2 x 22 MW thermal) that supply the required thermal avoiding daily start-up's and shut downs) and therefore, making possible a better use of the thermal block Manufacturer (Model): Siemens (UVAC 2010) HCE Type (Length): Evacuated (4 m) Heat-Transfer Fluid Type: Thermal

Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging.

PubMed

Fu, J C; Chen, C C; Chai, J W; Wong, S T C; Li, I C

2010-06-01

We propose an automatic hybrid image segmentation model that integrates the statistical expectation maximization (EM) model and the spatial pulse coupled neural network (PCNN) for brain magnetic resonance imaging (MRI) segmentation. In addition, an adaptive mechanism is developed to fine tune the PCNN parameters. The EM model serves two functions: evaluation of the PCNN image segmentation and adaptive adjustment of the PCNN parameters for optimal segmentation. To evaluate the performance of the adaptive EM-PCNN, we use it to segment MR brain image into gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF). The performance of the adaptive EM-PCNN is compared with that of the non-adaptive EM-PCNN, EM, and Bias Corrected Fuzzy C-Means (BCFCM) algorithms. The result is four sets of boundaries for the GM and the brain parenchyma (GM+WM), the two regions of most interest in medical research and clinical applications. Each set of boundaries is compared with the golden standard to evaluate the segmentation performance. The adaptive EM-PCNN significantly outperforms the non-adaptive EM-PCNN, EM, and BCFCM algorithms in gray mater segmentation. In brain parenchyma segmentation, the adaptive EM-PCNN significantly outperforms the BCFCM only. However, the adaptive EM-PCNN is better than the non-adaptive EM-PCNN and EM on average. We conclude that of the three approaches, the adaptive EM-PCNN yields the best results for gray matter and brain parenchyma segmentation. Copyright 2009 Elsevier Ltd. All rights reserved.

Relationships among Safety Climate, Safety Behavior, and Safety Outcomes for Ethnic Minority Construction Workers.

PubMed

Lyu, Sainan; Hon, Carol K H; Chan, Albert P C; Wong, Francis K W; Javed, Arshad Ali

2018-03-09

In many countries, it is common practice to attract and employ ethnic minority (EM) or migrant workers in the construction industry. This primarily occurs in order to alleviate the labor shortage caused by an aging workforce with a lack of new entrants. Statistics show that EM construction workers are more likely to have occupational fatal and nonfatal injuries than their local counterparts; however, the mechanism underlying accidents and injuries in this vulnerable population has been rarely examined. This study aims to investigate relationships among safety climate, safety behavior, and safety outcomes for EM construction workers. To this end, a theoretical research model was developed based on a comprehensive review of the current literature. In total, 289 valid questionnaires were collected face-to-face from 223 Nepalese construction workers and 56 Pakistani construction workers working on 15 construction sites in Hong Kong. Structural equation modelling was employed to validate the constructs and test the hypothesized model. Results show that there were significant positive relationships between safety climate and safety behaviors, and significant negative relationships between safety behaviors and safety outcomes for EM construction workers. This research contributes to the literature regarding EM workers by providing empirical evidence of the mechanisms by which safety climate affects safety behaviors and outcomes. It also provides insights in order to help the key stakeholders formulate safety strategies for EM workers in many areas where numerous EM workers are employed, such as in the U.S., the UK, Australia, Singapore, Malaysia, and the Middle East.

INACTIVATION OF BACILLUS GLOBIGII BY CHLORINATION: A HIERARCHICAL BAYESIAN MODEL

EPA Science Inventory

Recent events where spores of Bacillus anthracis have been used as a bioterrorist weapon have prompted interest in determining the resistance of this organism to commonly used disinfectants, such as chlorine, chlorine dioxide and ozone. This work was undertaken to study ...

David Robichaud | NREL

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Upgrading," Green Chemistry (2018) "Group Additivity Determination for Oxygenates, Oxonium Ions ," Green Chemistry (2015) "Biomass Particle Models with Realistic Morphology and Resolved

Current challenges for pre-earthquake electromagnetic emissions: shedding light from micro-scale plastic flow, granular packings, phase transitions and self-affinity notion of fracture process

NASA Astrophysics Data System (ADS)

Eftaxias, K.; Potirakis, S. M.

2013-10-01

Are there credible electromagnetic (EM) potential earthquake (EQ) precursors? This a question debated in the scientific community and there may be legitimate reasons for the critical views. The negative view concerning the existence of EM potential precursors is enhanced by features that accompany their observation which are considered as paradox ones, namely, these signals: (i) are not observed at the time of EQs occurrence and during the aftershock period, (ii) are not accompanied by large precursory strain changes, (iii) are not accompanied by simultaneous geodetic or seismological precursors and (iv) their traceability is considered problematic. In this work, the detected candidate EM potential precursors are studied through a shift in thinking towards the basic science findings relative to granular packings, micron-scale plastic flow, interface depinning, fracture size effects, concepts drawn from phase transitions, self-affine notion of fracture and faulting process, universal features of fracture surfaces, recent high quality laboratory studies, theoretical models and numerical simulations. We try to contribute to the establishment of strict criteria for the definition of an emerged EM anomaly as a possibly EQ-related one, and to the explanation of potential precursory EM features which have been considered as paradoxes. A three-stage model for EQ generation by means of pre-EQ fracture-induced EM emissions is proposed. The claim that the observed EM potential precursors may permit a real-time and step-by-step monitoring of the EQ generation is tested.

Structural Test Laboratory | Water Power | NREL

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Structural Test Laboratory Structural Test Laboratory NREL engineers design and configure structural components can validate models, demonstrate system reliability, inform design margins, and assess , including mass and center of gravity, to ensure compliance with design goals Dynamic Characterization Use

Energy Storage Publications | Transportation Research | NREL

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. 367, 1 November 2017 pp. 214-215. Quantitative Microstructure Characterization of a NMC Electrode . NREL/PR-5400-68759. Quantitative Microstructure Characterization of a NMC Electrode Presentation Source . NREL/PR-5400-68339. Microstructure Characterization and Modeling for Improved Electrode Design

Energy Information Systems

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Energy Analytics Campaign > 2014-2018 Assessment of Automated M&V Methods > 2012-2018 Better Assessment of automated measurement and verification methods. Granderson, J. et al. Lawrence Berkeley . PDF, 726 KB Performance Metrics and Objective Testing Methods for Energy Baseline Modeling Software

Abhijit Dutta | NREL

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Techno-economic analysis Process model development for existing and conceptual processes Detailed heat integration Economic analysis of integrated processes Integration of process simulation learnings into control ;Conceptual Process Design and Techno-Economic Assessment of Ex Situ Catalytic Fast Pyrolysis of Biomass: A

Technical Highlights

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Hopkins) Summary of data on computational modeling and experimental validation of correlations between targetr chemistries and carry out plasma etching assessment 2014: Jane Chang (UCLA) Non-PFC plasma varying physiochemical ENs 2013: Shyam Aravamudhan (NC A&T) Non-PFC plasma chemistries for patterning

Sandia National Laboratories: National Security Missions: Nuclear Weapons

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Technology Partnerships Business, Industry, & Non-Profits Government Universities Center for Development Agreement (CRADA) Strategic Partnership Projects, Non-Federal Entity (SPP/NFE) Agreements New , in which fundamental science, computer models, and unique experimental facilities come together so

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar (CFS) HURRICANE WEATHER RESEARCH and FORECASTING (HWRF) GLOBAL ENSEMBLE FORECAST SYSTEM (GEFS) NATIONAL Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author: EMC

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Department of Energy US Bureau of Reclamation Universities University Corporation for Atmospheric Research for Weather and Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar conducts a program of research and development in support of the National Centers for Environmental Prediction (NCEP) operational forecasting mission for global prediction. This research and development in

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Observing system Research and Predictability EXperiment (THORPEX) Targeted Obs Targeted Observations Cyclone University Research Court College Park, MD 20740 Page Author: EMC Webmaster Page generated:Sunday, 27-May

Jonathan J. Stickel | NREL

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research interests in fluid mechanics, rheology, separation science, reaction engineering, mathematical -established Newtonian fluid mechanics and solution reaction kinetics do not apply to these biomass slurries , and reaction kinetics of the biomass slurries in order to develop predictive modeling capabilities

High-Performance Computing Unlocks Innovation at NREL - Video Text Version

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scales, data visualizations and large-scale modeling provide insights and test new ideas. But this type most energy-efficient data center in the world. NREL and Hewlett-Packard won an R&D 100 award-the

National Nuclear Data Center

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reaction data Sigma Retrieval & Plotting Nuclear structure & decay Data Nuclear Science References Experimental Unevaluated Nuclear Data List Evaluated Nuclear Structure Data File NNDC databases Ground and isomeric states properties Nuclear structure & decay data journal Nuclear reaction model code Tools and

Neutron Scattering Software

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Array Manipulation Program (LAMP): IDL-based data analysis and visualization Open Genie: interactive -ray powder data ORTEP: Oak Ridge Thermal Ellipsoid Plot program for crystal structure illustrations structure VRML generator aClimax: modeling of inelastic neutron spectroscopy using Density Functional Theory

Zia Abdullah | NREL

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chemicals from bio-oils Biomass pretreatment for fermentation Separation of biomass into lignin , hemicellulose, and cellulose Conversion of hemicellulose into higher value products via fermentation routes Design of gas-liquid fermentation reactors Melt spun carbon fibers from lignin Mathematical modeling of

Mapping soil salinity and a fresh-water intrusion in three-dimensions using a quasi-3d joint-inversion of DUALEM-421S and EM34 data

NASA Astrophysics Data System (ADS)

Zare, Ehsan; Huang, Jingyi; Koganti, Triven; Triantafilis, John

2017-04-01

In order to understand the drivers of topsoil salinization, the distribution and movement of salt in accordance with groundwater need mapping. In this study, we described a method to map the distribution of soil salinity, as measured by the electrical conductivity of a saturated soil-paste extract (ECe), and in 3-dimensions around a water storage reservoir in an irrigated field near Bourke, New South Wales, Australia. A quasi-3d electromagnetic conductivity image (EMCI) or model of the true electrical conductivity (sigma) was developed using 133 apparent electrical conductivity (ECa) measurements collected on a 50 m grid and using various coil arrays of DUALEM-421S and EM34 instruments. For the DUALEM-421S we considered ECa in horizontal coplanar (i.e., 1 mPcon, 2 mPcon and 4 mPcon) and vertical coplanar (i.e., 1 mHcon, 2 mHcon and 4 mHcon) arrays. For the EM34, three measurements in the horizontal mode (i.e., EM34-10H, EM34-20H and EM34-40H) were considered. We estimated σ using a quasi-3d joint-inversion algorithm (EM4Soil). The best correlation (R2 = 0.92) between σ and measured soil ECe was identified when a forward modelling (FS), inversion algorithm (S2) and damping factor (lambda = 0.2) were used and using both DUALEM-421 and EM34 data; but not including the 4 m coil arrays of the DUALEM-421S. A linear regression calibration model was used to predict ECe in 3-dimensions beneath the study field. The predicted ECe was consistent with previous studies and revealed the distribution of ECe and helped to infer a freshwater intrusion from a water storage reservoir at depth and as a function of its proximity to near-surface prior stream channels and buried paleochannels. It was concluded that this method can be applied elsewhere to map the soil salinity and water movement and provide guidance for improved land management.|

Mapping soil salinity and a fresh-water intrusion in three-dimensions using a quasi-3d joint-inversion of DUALEM-421S and EM34 data.

PubMed

Huang, J; Koganti, T; Santos, F A Monteiro; Triantafilis, J

2017-01-15

In order to understand the drivers of topsoil salinization, the distribution and movement of salt in accordance with groundwater need mapping. In this study, we described a method to map the distribution of soil salinity, as measured by the electrical conductivity of a saturated soil-paste extract (EC e ), and in 3-dimensions around a water storage reservoir in an irrigated field near Bourke, New South Wales, Australia. A quasi-3d electromagnetic conductivity image (EMCI) or model of the true electrical conductivity (σ) was developed using 133 apparent electrical conductivity (EC a ) measurements collected on a 50m grid and using various coil arrays of DUALEM-421S and EM34 instruments. For the DUALEM-421S we considered EC a in horizontal coplanar (i.e., 1mPcon, 2mPcon and 4mPcon) and vertical coplanar (i.e., 1mHcon, 2mHcon and 4mHcon) arrays. For the EM34, three measurements in the horizontal mode (i.e., EM34-10H, EM34-20H and EM34-40H) were considered. We estimated σ using a quasi-3d joint-inversion algorithm (EM4Soil). The best correlation (R 2 =0.92) between σ and measured soil EC e was identified when a forward modelling (FS), inversion algorithm (S2) and damping factor (λ=0.2) were used and using both DUALEM-421 and EM34 data; but not including the 4m coil arrays of the DUALEM-421S. A linear regression calibration model was used to predict EC e in 3-dimensions beneath the study field. The predicted EC e was consistent with previous studies and revealed the distribution of EC e and helped to infer a freshwater intrusion from a water storage reservoir at depth and as a function of its proximity to near-surface prior stream channels and buried paleochannels. It was concluded that this method can be applied elsewhere to map the soil salinity and water movement and provide guidance for improved land management. Copyright © 2016 Elsevier B.V. All rights reserved.

What variables affect public perceptions for EMS meeting general community needs?

PubMed

Blau, Gary; Hochner, Arthur; Portwood, James

2012-01-01

In the fall, 2010, a phone survey of 928 respondents examined two research questions: does the general public perceive Emergency Medical Services (EMS) as meeting their community needs? And what factors or correlates help to explain EMS meeting community needs? To maximize geographical representation across the contiguous United States, a clustered stratified sampling strategy was used based upon zip codes across the 48 states. Results showed strong support by the sample for perceiving that EMS was meeting their general community needs. 17 percent of the variance in EMS meeting community needs was collectively explained by the demographic and perceptual variables in the regression model. Of the correlates tested, the strongest relationship was found between greater admiration for EMS professionals and higher perception of EMS meeting community needs. Study limitations included sampling households with only landline (no cell) phones, using a simulated emergency situation, and not collecting gender data.

Scanpath memory binding: multiple read-out experiments

NASA Astrophysics Data System (ADS)

Stark, Lawrence W.; Privitera, Claudio M.; Yang, Huiyang; Azzariti, Michela; Ho, Yeuk F.; Chan, Angie; Krischer, Christof; Weinberger, Adam

1999-05-01

The scanpath theory proposed that an internal spatial- cognitive model controls perception and the active looking eye movements, EMs, of the scanpath sequence. Evidence for this came from new quantitative methods, experiments with ambiguous figures and visual imagery and from MRI studies, all on cooperating human subjects. Besides recording EMs, we introduce other experimental techniques wherein the subject must depend upon memory bindings as in visual imagery, but may call upon other motor behaviors than EMs to read-out the remembered patterns. How is the internal model distributed and operationally assembled. The concept of binding speaks to the assigning of values for the model and its execution in various parts of the brain. Current neurological information helps to localize different aspects of the spatial-cognitive model in the brain. We suppose that there are several levels of 'binding' -- semantic or symbolic binding, structural binding for the spatial locations of the regions-of-interest and sequential binding for the dynamic execution program that yields the sequence of EMs. Our aim is to dissect out respective contributions of these different forms of binding.

National Centers for Environmental Prediction

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/ VISION | About EMC EMC > NOAH > IMPLEMENTATION SCHEDULLE Home Operational Products Experimental Data Verification Model Configuration Implementation Schedule Collaborators Documentation FAQ Code

National Centers for Environmental Prediction

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/ VISION | About EMC EMC > GEFS > IMPLEMENTATION SCHEDULLE Home Operational Products Experimental Data Verification Model Configuration Implementation Schedule Collaborators Documentation FAQ Code

Elaine Hale | NREL

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Analysis Center. Areas of Expertise Mathematical modeling, simulation, and optimization of complex Industrial and Applied Mathematics Mathematical Optimization Society Featured Publications Stoll, Brady

Assessing the Value of Information of Geophysical Data For Groundwater Management

NASA Astrophysics Data System (ADS)

Trainor, W. J.; Caers, J. K.; Mukerji, T.; Auken, E.; Knight, R. J.

2008-12-01

Effective groundwater management requires hydrogeologic models informed by various data sources. The long-term goal of our research is to develop methodologies that quantify the value of information (VOI) of geophysical data for water managers. We present an initial sensitivity study on assessing the reliability of airborne electro-magnetic (EM) data for detecting channel orientation. The reliability results are used to calculate VOI regarding decisions of artificial recharge to mitigate seawater intrusion. To demonstrate how a hydrogeologic problem can be framed in decision analysis terms, a hypothetical example is built, where water managers are considering artificial recharge to remediate seawater intrusion. Is the cost of recharge justified given the large uncertainty of subsurface heterogeneity that may interfere in a successful recharge? Thus, the decision is should recharge be performed, and if yes, where should recharge wells be located? This decision is difficult because of the large uncertainty of the aquifer heterogeneity that influences flow. The expected value of all possible outcomes to the decision without gathering additional EM information is the prior value VPRIOR. The value of information (VOI) is calculated as the expected gain in value after including the relevant new information, or the difference between the value after a free experiment (VFE) and the value prior (VPRIOR): VOI = VFE - VPRIOR Airborne EM has been used to detect confining clay layers and flow barriers. However, geophysical information rarely identifies the subsurface perfectly. Many challenges impact data quality and the resulting models (interpretation uncertainty). To evaluate how well airborne EM data detect the orientation of subsurface channel systems, 125 alternative binary, fluvial lithology models are generated, each categorized into one of three subsurface scenarios: northwest, southwest and mixed channel orientation. Using rock property relations, the lithology models are converted into electrical resistivity models for EM forward modeling, to generate time-domain EM data. Noise is added to the late times of the EM data to better represent typical airborne acquisition. Inversions are performed to obtain 125 inverted resistivity images. From the images, we calculate the angle of maximum spatial correlation at every cell, and compare it with the truth - the original lithology model. These synthetic models serve as a proxy to estimate misclassification probabilities of channel orientation from actual EM data. The misclassification probabilities are then used in the VOI calculations. Results are presented demonstrating how the reliability measure and the pumping schedule can impact VOI. Lastly, reliability and VOI are calculated and compared for land-based EM data, which has different spatial sampling and resolution than air-borne data.

Study of plasma-based stable and ultra-wideband electromagnetic wave absorption for stealth application

NASA Astrophysics Data System (ADS)

Xuyang, CHEN; Fangfang, SHEN; Yanming, LIU; Wei, AI; Xiaoping, LI

2018-06-01

A plasma-based stable, ultra-wideband electromagnetic (EM) wave absorber structure is studied in this paper for stealth applications. The stability is maintained by a multi-layer structure with several plasma layers and dielectric layers distributed alternately. The plasma in each plasma layer is designed to be uniform, whereas it has a discrete nonuniform distribution from the overall view of the structure. The nonuniform distribution of the plasma is the key to obtaining ultra-wideband wave absorption. A discrete Epstein distribution model is put forward to constrain the nonuniform electron density of the plasma layers, by which the wave absorption range is extended to the ultra-wideband. Then, the scattering matrix method (SMM) is employed to analyze the electromagnetic reflection and absorption of the absorber structure. In the simulation, the validation of the proposed structure and model in ultra-wideband EM wave absorption is first illustrated by comparing the nonuniform plasma model with the uniform case. Then, the influence of various parameters on the EM wave reflection of the plasma are simulated and analyzed in detail, verifying the EM wave absorption performance of the absorber. The proposed structure and model are expected to be superior in some realistic applications, such as supersonic aircraft.

Science and Technology Highlights | NREL

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Leads to Enhanced Upgrading Methods NREL's efforts to standardize techniques for bio-oil analysis inform enhanced modeling capability and affordable methods to increase energy efficiency. December 2012 NREL Meets Performance Demands of Advanced Lithium-ion Batteries Novel surface modification methods are

Betty Petersen Memorial Library - NCWCP Publications - NWS

Science.gov Websites

Resources NCEP Office Notes IT Resources Request an item* University of Maryland Research Affiliate Contact for Environmental Prediction (NCEP) NESDIS Center for Satellite Applications & Research (STAR . Evaluating Numerical Model Quantitative Precipitation Forecasts (.PDF file) 368 1990 Gerald V. OPC Unified

ARC Software and Models

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produce software code and methodologies that are transferred to TARDEC and industry partners. These constraints", ASME Dynamic Systems and Control Conference, 2013, DOI:10.1115/DSCC2013-3935 Software Monitoring",IEEE Transactions on Control Systems Technology, DOI:10.1109/TCST.2012.2217143 Fast

Sustainability through Dynamic Energy Management - Continuum Magazine |

Science.gov Websites

NREL Sustainability through Dynamic Energy Management Sustainability through Dynamic Energy Management Integrating behavior change with advanced building systems is the new model in energy efficiency , it's necessary to integrate dynamic energy management with occupant behavior change. As plans were

Jennifer N. Markham | NREL

Science.gov Websites

-economic analysis Algae cultivation and separation Biomass conversion to fuels and higher values products economic modeling Discounted cash flow rate of return (DCFROR) Capital expenses Operating expense Education ;Techno-Economic Analysis for Upgrading Normal-Butanol to Jet and Hydrocarbon Fuel," presented at

Joe Robertson | NREL

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Joe Robertson Photo of Joe Robertson Joe Robertson Research Engineer Joseph.Robertson@nrel.gov | 303-275-4575 Joe joined NREL in 2012. His research activities include automated building model student from the Colorado School of Mines on projects involving numerical methods applied to uncertainty

Energy-Water Modeling and Analysis | Energy Analysis | NREL

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future electricity scenarios under cases of limited water availability and electricity sector impacts of Manufacturing Water Use The Water Intensity and Resource Impacts of Unconventional Hydrocarbon Development Impacts of Unconventional Hydrocarbon Development Life Cycle Harmonization Project (Water) Sample

Evan Weaver | NREL

Science.gov Websites

Evan Weaver Photo of Evan Weaver Evan Weaver Researcher III-Software Engineering Evan.Weaver , he works as a software engineer developing whole-building energy modeling tools. Prior to joining NREL, he worked in the biomedical industry as a software engineer, specializing in graphical user

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Cycle) and the High-Resolution Rapid Refresh (HRRR) was developed at NOAA's Earth System Research Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author: EMC Webmaster Page

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar conducts a program of research and development in support of the National Centers for Environmental Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court College Park

Alternative Fuels Data Center: Tools

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Calculator Compare cost of ownership and emissions for most vehicle models. mobile Petroleum Reduction ROI and payback period for natural gas vehicles and infrastructure. AFLEET Tool Calculate a fleet's , hydrogen, or fuel cell infrastructure. GREET Fleet Footprint Calculator Calculate your fleet's petroleum

Defense | NREL

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Maritime Academy training ships to test promising energy saving technologies and increase steaming days between refuelings. The Maritime Pre-Screening Assessment of Conservation Technologies (M-PACT) project uses a ship-board test-bed with sophisticated sensors and a calibrated model to evaluate new and

Innovation Analysis | Energy Analysis | NREL

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. New empirical methods for estimating technical and commercial impact (based on patent citations and Commercial Breakthroughs, NREL employed regression models and multivariate simulations to compare social in the marketplace and found that: Web presence may provide a better representation of the commercial

Yi Guo | NREL

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Yi is dedicated to research and development in dynamic modeling, reliability analysis, vibro systems and has published numerous impactful journal publications. Prior to NREL, she pursued her Ph.D . research at Ohio State University with specialization in dynamics, vibration, and acoustics of wind turbine

Fuel Combustion and Engine Performance | Transportation Research | NREL

Science.gov Websites

. Through modeling, simulation, and experimental validation, researchers examine what happens to fuel inside combustion and engine research activities include: Developing experimental and simulation research platforms develop and refine accurate, efficient kinetic mechanisms for fuel ignition Investigating low-speed pre

NCEP MMAB Sea Ice Home Page

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NCEP MMAB Sea Ice Home Page The Polar and Great Lakes Ice group works on sea ice analysis from satellite, sea ice modeling, and ice-atmosphere-ocean coupling. Our work supports the Alaska Region of the @noaa.gov Last Modified 2 July 2012 Pages of Interest Analysis Daily Sea Ice Analyses Animations of the

The association between EMS workplace safety culture and safety outcomes.

PubMed

Weaver, Matthew D; Wang, Henry E; Fairbanks, Rollin J; Patterson, Daniel

2012-01-01

Prior studies have highlighted wide variation in emergency medical services (EMS) workplace safety culture across agencies. To determine the association between EMS workplace safety culture scores and patient or provider safety outcomes. We administered a cross-sectional survey to EMS workers affiliated with a convenience sample of agencies. We recruited these agencies from a national EMS management organization. We used the EMS Safety Attitudes Questionnaire (EMS-SAQ) to measure workplace safety culture and the EMS Safety Inventory (EMS-SI), a tool developed to capture self-reported safety outcomes from EMS workers. The EMS-SAQ provides reliable and valid measures of six domains: safety climate, teamwork climate, perceptions of management, working conditions, stress recognition, and job satisfaction. A panel of medical directors, emergency medical technicians and paramedics, and occupational epidemiologists developed the EMS-SI to measure self-reported injury, medical errors and adverse events, and safety-compromising behaviors. We used hierarchical linear models to evaluate the association between EMS-SAQ scores and EMS-SI safety outcome measures. Sixteen percent of all respondents reported experiencing an injury in the past three months, four of every 10 respondents reported an error or adverse event (AE), and 89% reported safety-compromising behaviors. Respondents reporting injury scored lower on five of the six domains of safety culture. Respondents reporting an error or AE scored lower for four of the six domains, while respondents reporting safety-compromising behavior had lower safety culture scores for five of the six domains. Individual EMS worker perceptions of workplace safety culture are associated with composite measures of patient and provider safety outcomes. This study is preliminary evidence of the association between safety culture and patient or provider safety outcomes.

The association between EMS workplace safety culture and safety outcomes

PubMed Central

Weaver, Matthew D.; Wang, Henry E.; Fairbanks, Rollin J.; Patterson, Daniel

2012-01-01

Objective Prior studies have highlighted wide variation in EMS workplace safety culture across agencies. We sought to determine the association between EMS workplace safety culture scores and patient or provider safety outcomes. Methods We administered a cross-sectional survey to EMS workers affiliated with a convenience sample of agencies. We recruited these agencies from a national EMS management organization. We used the EMS Safety Attitudes Questionnaire (EMS-SAQ) to measure workplace safety culture and the EMS Safety Inventory (EMS-SI), a tool developed to capture self-reported safety outcomes from EMS workers. The EMS-SAQ provides reliable and valid measures of six domains: safety climate, teamwork climate, perceptions of management, perceptions of working conditions, stress recognition, and job satisfaction. A panel of medical directors, paramedics, and occupational epidemiologists developed the EMS-SI to measure self-reported injury, medical errors and adverse events, and safety-compromising behaviors. We used hierarchical linear models to evaluate the association between EMS-SAQ scores and EMS-SI safety outcome measures. Results Sixteen percent of all respondents reported experiencing an injury in the past 3 months, four of every 10 respondents reported an error or adverse event (AE), and 90% reported safety-compromising behaviors. Respondents reporting injury scored lower on 5 of the 6 domains of safety culture. Respondents reporting an error or AE scored lower for 4 of the 6 domains, while respondents reporting safety-compromising behavior had lower safety culture scores for 5 of 6 domains. Conclusions Individual EMS worker perceptions of workplace safety culture are associated with composite measures of patient and provider safety outcomes. This study is preliminary evidence of the association between safety culture and patient or provider safety outcomes. PMID:21950463

Fluctuations in episodic and chronic migraine status over the course of 1 year: implications for diagnosis, treatment and clinical trial design.

PubMed

Serrano, Daniel; Lipton, Richard B; Scher, Ann I; Reed, Michael L; Stewart, Walter Buzz F; Adams, Aubrey Manack; Buse, Dawn C

2017-10-04

Relatively little is known about the stability of a diagnosis of episodic migraine (EM) or chronic migraine (CM) over time. This study examines natural fluctuations in self-reported headache frequency as well as the stability and variation in migraine type among individuals meeting criteria for EM and CM at baseline. The Chronic Migraine Epidemiology and Outcomes (CaMEO) Study was a longitudinal survey of US adults with EM and CM identified by a web-questionnaire. A validated questionnaire was used to classify respondents with EM (<15 headache days/month) or CM (≥15 headache days/month) every three months for a total of five assessments. We described longitudinal persistence of baseline EM and CM classifications. In addition, we modelled longitudinal variation in headache day frequency per month using negative binomial repeated measures regression models (NBRMR). Among the 5464 respondents with EM at baseline providing four or five waves of data, 5048 (92.4%) had EM in all waves and 416 (7.6%) had CM in at least one wave. Among 526 respondents with CM at baseline providing four or five waves of data, 140 (26.6%) had CM in every wave and 386 (73.4%) had EM for at least one wave. Individual plots revealed striking within-person variations in headache days per month. The NBRMR model revealed that the rate of headache days increased across waves of observation 19% more per wave for CM compared to EM (rate ratio [RR], 1.19; 95% CI, 1.13-1.26). After adjustment for covariates, the relative difference changed to a 26% increase per wave (RR, 1.26; 95% CI, 1.2-1.33). Follow-up at three-month intervals reveals a high level of short-term variability in headache days per month. As a consequence, many individuals cross the CM diagnostic boundary of ≥15 headache days per month.Nearly three quarters of persons with CM at baseline drop below this diagnostic boundary at least once over the course of a year. These findings are of interest in the consideration of headache classification and diagnosis, the design and interpretation of epidemiologic and clinical studies, and clinical management.

Luigi Gentile Polese | NREL

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software development of next-generation whole-building energy modeling, analysis, and simulation tools technical positions in networking protocol specifications, call control software, and requirements

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Series Other Information Collaborators In-House Website Transition to Operations Presentations

Comparing an Atomic Model or Structure to a Corresponding Cryo-electron Microscopy Image at the Central Axis of a Helix.

PubMed

Zeil, Stephanie; Kovacs, Julio; Wriggers, Willy; He, Jing

2017-01-01

Three-dimensional density maps of biological specimens from cryo-electron microscopy (cryo-EM) can be interpreted in the form of atomic models that are modeled into the density, or they can be compared to known atomic structures. When the central axis of a helix is detectable in a cryo-EM density map, it is possible to quantify the agreement between this central axis and a central axis calculated from the atomic model or structure. We propose a novel arc-length association method to compare the two axes reliably. This method was applied to 79 helices in simulated density maps and six case studies using cryo-EM maps at 6.4-7.7 Å resolution. The arc-length association method is then compared to three existing measures that evaluate the separation of two helical axes: a two-way distance between point sets, the length difference between two axes, and the individual amino acid detection accuracy. The results show that our proposed method sensitively distinguishes lateral and longitudinal discrepancies between the two axes, which makes the method particularly suitable for the systematic investigation of cryo-EM map-model pairs.

Comparing an Atomic Model or Structure to a Corresponding Cryo-electron Microscopy Image at the Central Axis of a Helix

PubMed Central

Zeil, Stephanie; Kovacs, Julio; Wriggers, Willy

2017-01-01

Abstract Three-dimensional density maps of biological specimens from cryo-electron microscopy (cryo-EM) can be interpreted in the form of atomic models that are modeled into the density, or they can be compared to known atomic structures. When the central axis of a helix is detectable in a cryo-EM density map, it is possible to quantify the agreement between this central axis and a central axis calculated from the atomic model or structure. We propose a novel arc-length association method to compare the two axes reliably. This method was applied to 79 helices in simulated density maps and six case studies using cryo-EM maps at 6.4–7.7 Å resolution. The arc-length association method is then compared to three existing measures that evaluate the separation of two helical axes: a two-way distance between point sets, the length difference between two axes, and the individual amino acid detection accuracy. The results show that our proposed method sensitively distinguishes lateral and longitudinal discrepancies between the two axes, which makes the method particularly suitable for the systematic investigation of cryo-EM map–model pairs. PMID:27936925

Craig Christensen | NREL

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Christensen Photo of Craig Christensen Craig Christensen Principal Engineer Craig.Christensen @nrel.gov | 303-384-7510 Craig joined NREL in 1979. He currently leads the energy analysis efforts for the development, analysis for new and existing residential buildings, and modeling accuracy. Craig has also led

BESTEST-EX | Buildings | NREL

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method for testing home energy audit software and associated calibration methods. BESTEST-EX is one of Energy Analysis Model Calibration Methods. When completed, the ANSI/RESNET SMOT will specify test procedures for evaluating calibration methods used in conjunction with predicting building energy use and

Tall Buildings Initiative

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Design Task 7 - Guidelines on Modeling and Acceptance Values Task 8 - Input Ground Motions for Tall - Performance-Based Seismic Design Guidelines for Tall Buildings Task 12 - Quantification of seismic performance published Report No. 2017/06 titled: "Guidelines for Performance-Based Seismic Design of Tall Buildings

Mark F. Davis | NREL

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| 303-384-6140 Orcid ID http://orcid.org/0000-0003-4541-9852 Research Interests Dr. Mark Davis is the years, he has served as the Platform Program Manager for Thermochemical and has directed research Science Center, including high throughput recalcitrance assays, omics research, computational modeling

Francisco Flores-Espino | NREL

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regulation Project-level financial analysis and modeling Research Interests Economic impacts of renewable , and D. Loomis. 2015. Offshore Wind Jobs and Economic Development Impacts in the United States: Four . Keyser, and S. Tegen. 2014. "Potential Economic Impacts from Offshore Wind in the Gulf of Mexico

Flexible Energy Scheduling Tool for Integrating Variable Generation | Grid

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, security-constrained economic dispatch, and automatic generation control programs. DOWNLOAD PAPER Electric commitment, security-constrained economic dispatch, and automatic generation control sub-models. Each sub resolutions and operating strategies can be explored. FESTIV produces not only economic metrics but also

Philipp Beiter | NREL

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the Strategic Energy Analysis Center. Areas of Expertise Cost modeling and economic analysis of , 2011 Prior Work Experience Junior Policy Analyst, Organization for Economic Co-operation and . Smith. 2017. An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to

maxwell brown | NREL

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Research Interests Optimization and modeling techniques Economic impacts of energy sector transformation . Transportation Research Record. Caron, J, S Cohen, J Reilly, M Brown. 2018. Exploring the Impacts of a National : Economic and GHG Impacts of a National Low Carbon Fuel Standard. Transportation Research Record: Journal of

USAID-NREL Partnership | NREL

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Development Impacts (I-JEDI) Developing a transparent, market-based energy sector improves competitiveness development objectives. The International Jobs and Economic Development Impacts (I-JEDI) tool is an economic model that helps users analyze gross economic impacts of renewable energy projects (such as wind, solar

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Installation at IMD July, 2011 - IMD in New Delhi, India The Hurricane Weather Research and Forecasting (HWRF ) 5830 University Research Court College Park, MD 20740 Page Author: EMC Webmaster Page generated:Sunday

Hybrid Electric Vehicle Publications | Transportation Research | NREL

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evaluations. Delivery Vehicles Cross-Cutting Publications Battery Ownership Model: Medium-Duty HEV Battery . (2015) Coca-Cola Delivery Trucks Coca-Cola Refreshments Class 8 Hybrid Electric Tractor Evaluation: 13 Dynamometer Evaluation and Comparison of Class 7 Hybrid Electric and Conventional Diesel Delivery Trucks

NISAC | National Infrastructure Simulation and Analysis Center | NISAC

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Logo National Infrastructure Simulation and Analysis Center Search Btn search this site... Overview Capabilities Fact Sheets Publications Contacts NISAC content top NISAC The National Infrastructure Simulation and Analysis Center (NISAC) is a modeling, simulation, and analysis program within the Department of

Autonomous Energy Grids | Grid Modernization | NREL

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control themselves using advanced machine learning and simulation to create resilient, reliable, and affordable optimized energy systems. Current frameworks to monitor, control, and optimize large-scale energy of optimization theory, control theory, big data analytics, and complex system theory and modeling to

Ricardo Oliveira | NREL

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the System Modeling & Geospatial Data Science Group in the Strategic Energy Analysis Center. Areas Publications Oliveira, R and Moreno, R. 2016. Harvesting, Integrating and Distributing Large Open Geospatial Datasets Using Free and Open-Source Software. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7

National Centers for Environmental Prediction

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/ VISION | About EMC EMC > GEFS > OPERATIONAL PRODUCTS Home Operational Products Experimental Data Global Ensemble products posted by the GEFS model team are experimental analysis and forecast products , and you will find them listed under the "Experimental Data" section of our web site. The

The feasibility of imaging subglacial hydrology beneath ice streams with ground-based electromagnetics

NASA Astrophysics Data System (ADS)

Siegfried, M. R.; Key, K.

2017-12-01

Subglacial hydrologic systems in Antarctica and Greenland play a fundamental role in ice-sheet dynamics, yet critical aspects of these systems remain poorly understood due to a lack of observations. Ground-based electromagnetic (EM) geophysical methods are established for mapping groundwater in many environments, but have never been applied to imaging lakes beneath ice sheets. Here we study the feasibility of passive and active source EM imaging for quantifying the nature of subglacial water systems beneath ice streams, with an emphasis on the interfaces between ice and basal meltwater, as well as deeper groundwater in the underlying sediments. Specifically, we look at the passive magnetotelluric method and active-source EM methods that use a large loop transmitter and receivers that measure either frequency-domain or transient soundings. We describe a suite of model studies that exam the data sensitivity as a function of ice thickness, water conductivity and hydrologic system geometry for models representative of a subglacial lake and a grounding zone estuary. We show that EM data are directly sensitive to groundwater and can image its lateral and depth extent. By combining the conductivity obtained from EM data with ice thickness and geological structure from conventional geophysical techniques such as ground-penetrating radar and active seismic techniques, EM data have the potential to provide new insights on the interaction between ice, rock, and water at critical ice-sheet boundaries.

Yi-Hsiang Yu | NREL

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Yi-Hsiang Yu's expertise is in marine energy system design and performance analysis, hydrodynamics , a wave-to-wire numerical model for design and analysis of wave energy conversion systems, wave tank the design load for wave energy systems. Yi-Hsiang is currently serving as the associate editor of the

Other Cosmic Ray Links

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curriculum for its course Physics In and Through Cosmology. The Distributed Observatory aims to become the world's largest cosmic ray telescope, using the distributed sensing and computing power of the world's cell phones. Modeled after the distributed computing efforts of SETI@Home and Folding@Home, the

FASTSim: Future Automotive Systems Technology Simulator | Transportation

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on light-, medium-, and heavy-duty vehicle efficiency, performance, cost, and battery life. This < 10 seconds to estimate vehicle efficiency, fuel economy, acceleration, battery life, and cost < ; 5 minutes to perform powertrain comparisons of efficiency and cost. FASTSim models a wide variety of

Battery Ownership | Transportation Research | NREL

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Ownership Battery Ownership The high cost of lithium-ion (Li-ion) batteries may be the largest (including fast charging), and vehicle-to-grid revenue generation strategies. Calculating the true cost of Model (BOM) takes the guesswork out of determining EV cost and comparing it to that of conventional

Peter Hacke | NREL

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photovoltaic (PV) modules, inspections for root cause of module failures in the field, and accelerated lifetime delamination. His research interests are in modeling of degradation processes of PV modules, module integrated analysis of PV degradation data. He also explores accelerated multi-stress and combined stress testing to

Resource Characterization | Water Power | NREL

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characterization and assessment, NREL has extended its capabilities to the field of water power. NREL's team of , modeling, data analysis, and Geographic Information Systems. Many years of experience in wind assessment have enabled NREL to develop the skills and methodologies to evaluate the development potential of many

Engineering and Techno-Economic Assessment | Concentrating Solar Power |

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performance and technology deployment, and investigates the environmental benefits and impacts of utility System (ReEDS) is a software model used to determine energy and environmental impacts. Learn more[BROKEN estimates the economic impacts of constructing and operating power generation and biofuel plants at the

Big Data, Models and Tools | Transportation Research | NREL

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displacement, and greenhouse gas reduction scenarios. New Tool Accelerates Design of Electric Vehicle Batteries design better, safer, and longer-lasting lithium-ion batteries for electric-drive vehicles through the Computer-Aided Engineering for Electric Drive Vehicle Batteries (CAEBAT) project. This month, ANSYS

University of Maryland MRSEC - Research: Seed 3

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MRSEC Templates Opportunities Search Home » Research » Seed 3 Seed 3: Modeling Elastic Effects on controlling parameters and variables include temperature, deposition flux, external electric field and elastic simulating the effects of these controlling factors often lead to predictions that guide future experiments

Engineering Geology | Alaska Division of Geological & Geophysical Surveys

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Tidal Datum Portal Climate and Cryosphere Hazards Coastal Hazards Program Guide to Geologic Hazards in Tidal Datum Portal Climate and Cryosphere Hazards Coastal Hazards Program Guide to Geologic Hazards in Highway and development of avalanche susceptibility and prediction models near Atigun Pass. Alaska coastal

National Operational Hydrologic Remote Sensing Center - The ultimate source

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Analysis Satellite Obs Forecasts Data Archive SHEF Products Observations near City, ST Go Science Database Airborne Snow Surveys Satellite Snow Cover Mapping Snow Modeling and Data Assimilation Analyses polar-orbiting and geostationary satellite imagery. Maps are provided for the U.S. and the northern

Meghan Mooney | NREL

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@nrel.gov | 303-384-7315 Meghan Mooney is a member of the Geospatial Data Science team within the Systems Modeling & Geospatial Data Science Group in the Strategic Energy Analysis Center. Areas of Expertise and resiliency Education M.A., Geography, University of Denver B.S., Geographic Science, James Madison

ndsd_50mwind

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: January, 2000 Title: ndsd_50mwind Geospatial_Data_Presentation_Form: vector digital data Description . Supplemental_Information: This data set was produced and validated by NREL using their WRAM model. This shapefile was , North Dakota, South Dakota Access_Constraints: None Use_Constraints: This GIS data was developed by the

NREL, San Diego Gas & Electric Are Advancing Utility Microgrid Performance

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in Borrego Springs, California | Energy Systems Integration Facility | NREL NREL, San Diego Gas & Electric Models Utility Microgrid in Borrego Springs NREL, San Diego Gas & Electric Are Advancing Utility Microgrid Performance in Borrego Springs, California San Diego Gas & Electric Company

Materials Science | NREL

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sulfide (SnS). The top image represents output from atomic force microscopy for the molecular sections and computations. The image shows modeled electronic density of states (top panel) of the the bandgap of the narrow-gap crystalline semiconductors (left and right sides of the image) when it

CSEWG

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Nuclear Data Evaluation Co-operation (WPEC) Nuclear Reaction Data Centers, NRDC (IAEA Vienna) EMPIRE , Nuclear Reaction Model Code Atlas of Neutron Resonances The Cross Section Evaluation Working Group (CSEWG

A Study of Energy Management Systems and its Failure Modes in Smart Grid Power Distribution

NASA Astrophysics Data System (ADS)

Musani, Aatif

The subject of this thesis is distribution level load management using a pricing signal in a smart grid infrastructure. The project relates to energy management in a spe-cialized distribution system known as the Future Renewable Electric Energy Delivery and Management (FREEDM) system. Energy management through demand response is one of the key applications of smart grid. Demand response today is envisioned as a method in which the price could be communicated to the consumers and they may shift their loads from high price periods to the low price periods. The development and deployment of the FREEDM system necessitates controls of energy and power at the point of end use. In this thesis, the main objective is to develop the control model of the Energy Management System (EMS). The energy and power management in the FREEDM system is digitally controlled therefore all signals containing system states are discrete. The EMS is modeled as a discrete closed loop transfer function in the z-domain. A breakdown of power and energy control devices such as EMS components may result in energy con-sumption error. This leads to one of the main focuses of the thesis which is to identify and study component failures of the designed control system. Moreover, H-infinity ro-bust control method is applied to ensure effectiveness of the control architecture. A focus of the study is cyber security attack, specifically bad data detection in price. Test cases are used to illustrate the performance of the EMS control design, the effect of failure modes and the application of robust control technique. The EMS was represented by a linear z-domain model. The transfer function be-tween the pricing signal and the demand response was designed and used as a test bed. EMS potential failure modes were identified and studied. Three bad data detection meth-odologies were implemented and a voting policy was used to declare bad data. The run-ning mean and standard deviation analysis method proves to be the best method to detect bad data. An H-infinity robust control technique was applied for the first time to design discrete EMS controller for the FREEDM system.

Out-of-Hospital Decision-Making and Factors Influencing the Regional Distribution of Injured Patients in a Trauma System

PubMed Central

Newgard, Craig D.; Nelson, Maria J.; Kampp, Michael; Saha, Somnath; Zive, Dana; Schmidt, Terri; Daya, Mohamud; Jui, Jonathan; Wittwer, Lynn; Warden, Craig; Sahni, Ritu; Stevens, Mark; Gorman, Kyle; Koenig, Karl; Gubler, Dean; Rosteck, Pontine; Lee, Jan; Hedges, Jerris R.

2011-01-01

Background The decision-making processes used for out-of-hospital trauma triage and hospital selection in regionalized trauma systems remain poorly understood. The objective of this study was to understand the process of field triage decision-making in an established trauma system. Methods We used a mixed methods approach, including EMS records to quantify triage decisions and reasons for hospital selection in a population-based, injury cohort (2006 - 2008), plus a focused ethnography to understand EMS cognitive reasoning in making triage decisions. The study included 10 EMS agencies providing service to a 4-county regional trauma system with 3 trauma centers and 13 non-trauma hospitals. For qualitative analyses, we conducted field observation and interviews with 35 EMS field providers and a round-table discussion with 40 EMS management personnel to generate an empirical model of out-of-hospital decision making in trauma triage. Results 64,190 injured patients were evaluated by EMS, of whom 56,444 (88.0%) were transported to acute care hospitals and 9,637 (17.1% of transports) were field trauma activations. For non-trauma activations, patient/family preference and proximity accounted for 78% of destination decisions. EMS provider judgment was cited in 36% of field trauma activations and was the sole criterion in 23% of trauma patients. The empirical model demonstrated that trauma triage is driven primarily by EMS provider “gut feeling” (judgment) and relies heavily on provider experience, mechanism of injury, and early visual cues at the scene. Conclusions Provider cognitive reasoning for field trauma triage is more heuristic than algorithmic and driven primarily by provider judgment, rather than specific triage criteria. PMID:21817971

Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers

PubMed Central

2010-01-01

Background The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding programs. Genome-wide association studies relate individual single nucleotide polymorphisms (SNP) from dense SNP panels to individual measurements of complex traits, with the underlying assumption being that any association is caused by linkage disequilibrium (LD) between SNP and quantitative trait loci (QTL) affecting the trait. Often SNP are in genomic regions of no trait variation. Whole genome Bayesian models are an effective way of incorporating this and other important prior information into modelling. However a full Bayesian analysis is often not feasible due to the large computational time involved. Results This article proposes an expectation-maximization (EM) algorithm called emBayesB which allows only a proportion of SNP to be in LD with QTL and incorporates prior information about the distribution of SNP effects. The posterior probability of being in LD with at least one QTL is calculated for each SNP along with estimates of the hyperparameters for the mixture prior. A simulated example of genomic selection from an international workshop is used to demonstrate the features of the EM algorithm. The accuracy of prediction is comparable to a full Bayesian analysis but the EM algorithm is considerably faster. The EM algorithm was accurate in locating QTL which explained more than 1% of the total genetic variation. A computational algorithm for very large SNP panels is described. Conclusions emBayesB is a fast and accurate EM algorithm for implementing genomic selection and predicting complex traits by mapping QTL in genome-wide dense SNP marker data. Its accuracy is similar to Bayesian methods but it takes only a fraction of the time. PMID:20969788

Quantitative Understanding on the Amplitude Decay Characteristic of the Evanescent Electromagnetic Waves Generated by Seismoelectric Conversion

NASA Astrophysics Data System (ADS)

Ren, Hengxin; Huang, Qinghua; Chen, Xiaofei

2018-03-01

We conduct numerical simulations and theoretical analyses to quantitatively study the amplitude decay characteristic of the evanescent electromagnetic (EM) waves, which has been neglected in previous studies on the seismoelectric conversion occurring at a porous-porous interface. Time slice snapshots of seismic and EM wave-fields generated by a vertical single force point source in a two-layer porous model show that evanescent EM waves can be induced at a porous-porous interface. The seismic and EM wave-fields computed for a receiver array located in a vertical line nearby the interface are investigated in detail. In addition to the direct and interface-response radiation EM waves, we identify three groups of coseismic EM fields and evanescent EM waves associated with the direct P, refracted SV-P and direct SV waves, respectively. Thereafter, we derive the mathematical expression of the amplitude decay factor of the evanescent EM waves. This mathematical expression is further validated by our numerical simulations. It turns out the amplitude decay of the evanescent EM waves generated by seismoelectric conversion is greatly dependent on the horizontal wavenumber of seismic waves. It is also found the evanescent EM waves have a higher detectability at a lower frequency range. This work provides a better understanding on the EM wave-fields generated by seismoelectric conversion, which probably will help improve the interpretation of the seismoelectric coupling phenomena associated with natural earthquakes or possibly will inspire some new ideas on the application of the seismoelectric coupling effect.

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) Kohala (PHKM) South Point (PHWA) Forecasts Activity Planner Hawaii Marine Aviation Fire Weather Local Activity Planner Hawaii Marine Aviation Fire Weather Local Graphics National Graphics Model Output Climate

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author: EMC

Scott Jenne | NREL

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Analysis Center. Areas of Expertise Techno-Economic Analysis Mechanical design 3D modeling/CAD Finite element analysis (FEA) Wave energy conversion Thermal power cycle analysis Research Interests Cost

Latha Sethuraman | NREL

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aeroelastic simulation of drivetrain systems. At NREL, she supports the drivetrain modeling effort under the , electro-mechanical system design and optimization, structural analysis, and multi-body simulation. In

Anthony Lopez | NREL

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. Carolyn Davidson, Easan Drury, Anthony Lopez, Ryan Elmore, and Robert Margolis. 2014. Modeling . Department of Energy, Office of Indian Energy. Trieu Mai, Easan Drury, Kelly Eurek, Natalie Bodington

Model Analyses and Guidance

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Fire Weather Sun/Moon Long Range Forecasts Climate Prediction Past Weather Past Weather Heating/Cooling Space Weather Sun (Ultraviolet Radiation) Safety Campaigns Wind Drought Winter Weather Information

Current Status of NCEP Model Production

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the page. 00 UTC CYCLE 00 UTC NAM EVENT Average Start Time Average End Time STATUS COMMENTS DATA DUMP AND PREP 01:15:05 01:21:00 COMPLETE-01:21:06 ON-TIME ANALYSIS 01:21:09 01:33:21 COMPLETE-01:33:41 ON -TIME FORECAST F00-F84 01:34:39 02:43:55 COMPLETE-02:44:25 ON-TIME 12hr PRODUCTS 01:40:14 01:52:55

The PX-EM algorithm for fast stable fitting of Henderson's mixed model

PubMed Central

Foulley, Jean-Louis; Van Dyk, David A

2000-01-01

This paper presents procedures for implementing the PX-EM algorithm of Liu, Rubin and Wu to compute REML estimates of variance covariance components in Henderson's linear mixed models. The class of models considered encompasses several correlated random factors having the same vector length e.g., as in random regression models for longitudinal data analysis and in sire-maternal grandsire models for genetic evaluation. Numerical examples are presented to illustrate the procedures. Much better results in terms of convergence characteristics (number of iterations and time required for convergence) are obtained for PX-EM relative to the basic EM algorithm in the random regression. PMID:14736399

Peter St. John | NREL

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for microbial strain design to optimize the production of value-added chemicals from lignin using Pseudomonas putida. Featured Publications "A quantitative model for the prediction of sooting tendency

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author: EMC Webmaster Page

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Weather and Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page Author

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar for Weather and Climate Prediction (NCWCP) 5830 University Research Court College Park, MD 20740 Page

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar ) 5830 University Research Court College Park, MD 20740 Page Author: EMC Webmaster Page generated:Sunday

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar Center NOAA Center for Weather and Climate Prediction (NCWCP) 5830 University Research Court College Park

Paul Schwabe | NREL

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modeling and data analysis Education M.S. in applied economics and finance, University of California at . Arent, 2012. Mobilizing Public Markets to Finance Renewable Energy Projects: Insights from Expert

SMARTINIT DOWNSCALING GRAPHICS

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Month: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Day: 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 first prev next last SMARTINIT Verification NAM VS NEST Graphics MMB web site Model Type: PROD vs PARA DNG Plot Type: Comparison maps Difference plots Region: CONUS Nest 2.5 km South West U.S. New York, NY

Propagation characteristics of electromagnetic waves in dusty plasma with full ionization

NASA Astrophysics Data System (ADS)

Dan, Li; Guo, Li-Xin; Li, Jiang-Ting

2018-01-01

This study investigates the propagation characteristics of electromagnetic (EM) waves in fully ionized dusty plasmas. The propagation characteristics of fully ionized plasma with and without dust under the Fokker-Planck-Landau (FPL) and Bhatnagar-Gross-Krook (BGK) models are compared to those of weakly ionized plasmas by using the propagation matrix method. It is shown that the FPL model is suitable for the analysis of the propagation characteristics of weakly collisional and fully ionized dusty plasmas, as is the BGK model. The influence of varying the dust parameters on the propagation properties of EM waves in the fully ionized dusty plasma was analyzed using the FPL model. The simulation results indicated that the densities and average radii of dust grains influence the reflection and transmission coefficients of fully ionized dusty plasma slabs. These results may be utilized to analyze the effects of interaction between EM waves and dusty plasmas, such as those associated with hypersonic vehicles.

Semi-supervised Learning for Phenotyping Tasks.

PubMed

Dligach, Dmitriy; Miller, Timothy; Savova, Guergana K

2015-01-01

Supervised learning is the dominant approach to automatic electronic health records-based phenotyping, but it is expensive due to the cost of manual chart review. Semi-supervised learning takes advantage of both scarce labeled and plentiful unlabeled data. In this work, we study a family of semi-supervised learning algorithms based on Expectation Maximization (EM) in the context of several phenotyping tasks. We first experiment with the basic EM algorithm. When the modeling assumptions are violated, basic EM leads to inaccurate parameter estimation. Augmented EM attenuates this shortcoming by introducing a weighting factor that downweights the unlabeled data. Cross-validation does not always lead to the best setting of the weighting factor and other heuristic methods may be preferred. We show that accurate phenotyping models can be trained with only a few hundred labeled (and a large number of unlabeled) examples, potentially providing substantial savings in the amount of the required manual chart review.

Relationships among Safety Climate, Safety Behavior, and Safety Outcomes for Ethnic Minority Construction Workers

PubMed Central

Lyu, Sainan; Chan, Albert P. C.; Wong, Francis K. W.

2018-01-01

In many countries, it is common practice to attract and employ ethnic minority (EM) or migrant workers in the construction industry. This primarily occurs in order to alleviate the labor shortage caused by an aging workforce with a lack of new entrants. Statistics show that EM construction workers are more likely to have occupational fatal and nonfatal injuries than their local counterparts; however, the mechanism underlying accidents and injuries in this vulnerable population has been rarely examined. This study aims to investigate relationships among safety climate, safety behavior, and safety outcomes for EM construction workers. To this end, a theoretical research model was developed based on a comprehensive review of the current literature. In total, 289 valid questionnaires were collected face-to-face from 223 Nepalese construction workers and 56 Pakistani construction workers working on 15 construction sites in Hong Kong. Structural equation modelling was employed to validate the constructs and test the hypothesized model. Results show that there were significant positive relationships between safety climate and safety behaviors, and significant negative relationships between safety behaviors and safety outcomes for EM construction workers. This research contributes to the literature regarding EM workers by providing empirical evidence of the mechanisms by which safety climate affects safety behaviors and outcomes. It also provides insights in order to help the key stakeholders formulate safety strategies for EM workers in many areas where numerous EM workers are employed, such as in the U.S., the UK, Australia, Singapore, Malaysia, and the Middle East. PMID:29522503

National Centers for Environmental Prediction

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SYSTEM CFS CLIMATE FORECAST SYSTEM NAQFC NAQFC MODEL GEFS GLOBAL ENSEMBLE FORECAST SYSTEM HWRF HURRICANE WEATHER RESEARCH and FORECASTING HMON HMON - OPERATIONAL HURRICANE FORECASTING WAVEWATCH III WAVEWATCH III

Mark Stock | NREL

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, he started the Boston Virtual Reality Meetup group, develops physics plugins for games and demos for physically accurate lighting model, Second Conference on Computational Semiotics for Games and New Media

NREL Model Car Competitions | NREL

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skills in both math and science. The goals of the competition include: Generating enthusiasm for science , technology, engineering, and math (STEM) Improving students' understanding of scientific concepts and

Chuck Booten | NREL

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-3167 Chuck joined NREL in 2010. His research is focused on heat transfer modeling, heating, ventilating background is in experimental heat transfer and fluid mechanics. Education Ph.D. Mechanical Engineering

Rick Damiani | NREL

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design and analysis of blades and support structures. Rick also supports various technical projects 15 years. He focuses on aeroelastic modeling of turbines and structural design and analysis of blades

Kathleen Krah | NREL

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tool validation. Previous to joining NREL, her Masters thesis focused on a spatial analysis of strategies. Her undergraduate thesis focused on techno-economic and logistical cost modeling of offshore wind

National Centers for Environmental Prediction

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Statistics Observational Data Processing Data Assimilation Monsoon Desk Model Transition Seminars Seminar University Research Court College Park, MD 20740 Page Author: EMC Webmaster Page generated:Sunday, 27-May

Dane Christensen | NREL

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-performance building simulation. Dane supports technical efforts for the Building America Program and conducts finite element modeling for building energy simulation. Prior to joining NREL, Dane worked at Atec, Inc

MODEL CHANGES SINCE 1991

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, effects of balloon drift in time and space included Forecast and post processing: Improved orography minor changes: Observations and analysis: Higher resolution sea ice mask Forecast and post processing . 12/04/07 12Z: Use of Unified Post Processor in GFS 12/04/07 12Z: GFS Ensemble (NAEFS/TIGGE) UPGRADE

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-Irradiance Model. Solar Energy Monthly and annual average direct normal irradiance for Hawaii and the normal (DNI). This is then adjusted as a function of the ratio of clear sky global horizontal (GHI) and , provided that this entire notice appears in all copies of the data. Further, the user of this data agrees

Berkeley Lab - Materials Sciences Division

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. Orlita, L. Z. Tan, M. Potemski, M. Sprinkle, C. Berger, W. A. de Heer, S. G. Louie and G. Martinez . DePaolo and J. J. De Yoreo. Self-consistent ion-by-ion growth model for kinetic isotopic fractionation Biosynthesis Restricts Mycobacterium tuberculosis Growth in Human Macrophages. ACS Chemical Biology 7, 863

Publications | Regional Energy Deployment System Model | Energy Analysis |

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Methodologies: Approximated DC Flow vs. Pipe Flow along AC Lines. Golden, CO: National Renewable Energy Energy. DOE/GO-102015-4557. Macknick, Jordan, and Stuart Cohen. 2015. Water Impacts of High Solar PV , Jordan, Stuart Cohen, Robin Newmark, Andrew Martinez, Patrick Sullivan, and Vince Tidwell. 2015. Water

EBIPM | Finding the Tools to Manage Invasive Annual Grasses

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Grass Management How much could prevention save you? Guidelines to Implement EBIPM Weed Prevention Areas Grass Facts/ID The EBIPM Model Crooked River Weed Management Area Guide Tools for Educators EBIPM High Agricultural Research Center for more information on invasive plant research. Eastern Oregon Agricultural

Strategic and Market Analysis | Bioenergy | NREL

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recent efforts in comparative techno-economic analysis. Our analysis considers a wide range of conversion Intermediates NREL has developed first-of-its-kind process models and economic assessments of the co-processing work strives to understand the economic incentives, technical risks, and key data gaps that need to be

Climate Prediction Center - Seasonal Outlook

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LEAST THROUGH THE NORTHERN HEMISPHERE SUMMER 2018, WITH THE POSSIBILITY OF EL NINO NEARING 50% BY PRECIPITATION ARE LOWERED. SOME ENSO FORECAST MODELS PREDICT A WARM EVENT (EL NINO) BY THE NORTHERN HEMISPHERE WINTER 2018-19. IF CORRECT, HISTORICAL EL NINO COMPOSITES FAVOR INCREASED ODDS FOR DRY CONDITIONS FOR