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1

Open problem: Dynamic Relational Models for Improved Hazardous Weather Prediction  

E-Print Network (OSTI)

. Current weather radar detection and prediction sys- tems primarily rely on numerical models. We proposeOpen problem: Dynamic Relational Models for Improved Hazardous Weather Prediction Amy McGovern1, #12;Dynamic Relational Models for Improved Hazardous Weather Prediction Radar velocity Radar

McGovern, Amy

2

A high-resolution, cloud-assimilating numerical weather prediction model for solar irradiance forecasting  

E-Print Network (OSTI)

MultiscaleNumericalWeatherPredictionModel. Progressassimilatingnumericalweatherpredictionmodelforsolarcustomizable numericalweatherpredictionmodelthatis

Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

2013-01-01T23:59:59.000Z

3

Data Assimilation for Idealised Mathematical Models of Numerical Weather Prediction  

E-Print Network (OSTI)

Data Assimilation for Idealised Mathematical Models of Numerical Weather Prediction Supervisors). Background: Numerical Weather Prediction (NWP) has seen significant gains in accuracy in recent years due is directed at achieving real-world impact in numerical weather prediction by addressing fundamental issues

Wirosoetisno, Djoko

4

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network (OSTI)

Forecasting wave height probabilities with numerical weather prediction models Mark S. Roulstona; Numerical weather prediction 1. Introduction Wave forecasting is now an integral part of operational weather methods for generating such forecasts from numerical model output from the European Centre for Medium

Stevenson, Paul

5

Weather Regime Prediction Using Statistical Learning  

E-Print Network (OSTI)

most advanced numerical weather prediction models still havefor numerical weather prediction models. Acknowledgements It

A. Deloncle; R. Berk; F. D'Andrea; M. Ghil

2011-01-01T23:59:59.000Z

6

Adjoint Sensitivity Analysis for Numerical Weather Prediction  

E-Print Network (OSTI)

Sep 2, 2011 ... Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to ... weather variables using numerical weather prediction models.

Alexandru Cioaca

2011-09-02T23:59:59.000Z

7

Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation  

E-Print Network (OSTI)

Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation Cyril a hybrid ARMA/ANN model and data issued from a numerical weather prediction model (ALADIN). We particularly@gmail.com #12;Abstract. We propose in this paper an original technique to predict global radiation using

Paris-Sud XI, Université de

8

24 More Years of Numerical Weather Prediction: A Model Performance Model  

E-Print Network (OSTI)

24 More Years of Numerical Weather Prediction: A Model Performance Model Gerard Cats May 26, 2008 Abstract For two formulations of currently usual numerical weather prediction models the evolution in such a model is much 1 #12;24 More Years of Numerical Weather Prediction Gerard Cats higher than in a sis

Stoffelen, Ad

9

The origins of computer weather prediction and climate modeling  

Science Journals Connector (OSTI)

Numerical simulation of an ever-increasing range of geophysical phenomena is adding enormously to our understanding of complex processes in the Earth system. The consequences for mankind of ongoing climate change will be far-reaching. Earth System Models ... Keywords: Climate modelling, History of NWP, Numerical weather prediction

Peter Lynch

2008-03-01T23:59:59.000Z

10

The Dynamics of Deterministic Chaos in Numerical Weather Prediction Models  

E-Print Network (OSTI)

Atmospheric weather systems are coherent structures consisting of discrete cloud cells forming patterns of rows/streets, mesoscale clusters and spiral bands which maintain their identity for the duration of their appreciable life times in the turbulent shear flow of the planetary Atmospheric Boundary Layer. The existence of coherent structures (seemingly systematic motion) in turbulent flows has been well established during the last 20 years of research in turbulence. Numerical weather prediction models based on the inherently non-linear Navier-Stokes equations do not give realistic forecasts because of the following inherent limitations: (1) the non-linear governing equations for atmospheric flows do not have exact analytic solutions and being sensitive to initial conditions give chaotic solutions characteristic of deterministic chaos (2) the governing equations do not incorporate the dynamical interactions and co-existence of the complete spectrum of turbulent fluctuations which form an integral part of the large coherent weather systems (3) limitations of available computer capacity necessitates severe truncation of the governing equations, thereby generating errors of approximations (4) the computer precision related roundoff errors magnify the earlier mentioned uncertainties exponentially with time and the model predictions become unrealistic. The accurate modelling of weather phenomena therefore requires alternative concepts and computational techniques. In this paper a universal theory of deterministic chaos applicable to the formation of coherent weather structures in the ABL is presented.

A. Mary Selvam

2003-10-07T23:59:59.000Z

11

Evaluating the ability of a numerical weather prediction model to forecast tracer concentrations during ETEX 2  

E-Print Network (OSTI)

Evaluating the ability of a numerical weather prediction model to forecast tracer concentrations an operational numerical weather prediction model to forecast air quality are also investigated. These potential a numerical weather prediction (NWP) model independently of the CTM. The NWP output is typically archived

Dacre, Helen

12

USING LEARNING MACHINES TO CREATE SOLAR RADIATION MAPS FROM NUMERICAL WEATHER PREDICTION MODELS,  

E-Print Network (OSTI)

USING LEARNING MACHINES TO CREATE SOLAR RADIATION MAPS FROM NUMERICAL WEATHER PREDICTION MODELS simulation by means of a Numerical Weather Prediction Model (NWP), Skiron. After that, we have made spatial solar resource map. 2.1. Meteorological simulation The numerical weather prediction model used is SKIRON

Paris-Sud XI, Université de

13

The origins of computer weather prediction and climate modeling  

SciTech Connect

Numerical simulation of an ever-increasing range of geophysical phenomena is adding enormously to our understanding of complex processes in the Earth system. The consequences for mankind of ongoing climate change will be far-reaching. Earth System Models are capable of replicating climate regimes of past millennia and are the best means we have of predicting the future of our climate. The basic ideas of numerical forecasting and climate modeling were developed about a century ago, long before the first electronic computer was constructed. There were several major practical obstacles to be overcome before numerical prediction could be put into practice. A fuller understanding of atmospheric dynamics allowed the development of simplified systems of equations; regular radiosonde observations of the free atmosphere and, later, satellite data, provided the initial conditions; stable finite difference schemes were developed; and powerful electronic computers provided a practical means of carrying out the prodigious calculations required to predict the changes in the weather. Progress in weather forecasting and in climate modeling over the past 50 years has been dramatic. In this presentation, we will trace the history of computer forecasting through the ENIAC integrations to the present day. The useful range of deterministic prediction is increasing by about one day each decade, and our understanding of climate change is growing rapidly as Earth System Models of ever-increasing sophistication are developed.

Lynch, Peter [Meteorology and Climate Centre, School of Mathematical Sciences, University College Dublin, Belfield (Ireland)], E-mail: Peter.Lynch@ucd.ie

2008-03-20T23:59:59.000Z

14

Title: Development of Statistical and Data Drive Models to Predict Flares for Space Weather Predictions  

E-Print Network (OSTI)

D and civilian assets in both space and ground. The current state of predictability of solar flares is basedTitle: Development of Statistical and Data Drive Models to Predict Solar Flares for Space Weather Collaborator: Dr. K. S. Balasubramaniam, Air Force Research Laboratory Summary: Solar flares impact Do

Johnson, Eric E.

15

EVALUATION OF NUMERICAL WEATHER PREDICTION IN MODELING CLOUD-RADIATION INTERACTIONS OVER THE SOUTHERN GREAT PLAINS  

E-Print Network (OSTI)

EVALUATION OF NUMERICAL WEATHER PREDICTION IN MODELING CLOUD- RADIATION INTERACTIONS OVER.bnl.gov ABSTRACT Numerical weather prediction (NWP) is the basis for present-day weather forecasts, and NWP- and satellite- based observations over the Southern Great Plains to evaluate how well cloud

Johnson, Peter D.

16

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network (OSTI)

Multiscale numerical weather prediction model. Progress inassimilating numerical weather prediction model for solarwith numerical weather prediction models. In: Solar Energy

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

17

Prediction versus Projection: How weather forecasting and  

E-Print Network (OSTI)

Prediction versus Projection: How weather forecasting and climate models differ. Aaron B. Wilson Context: Global http://data.giss.nasa.gov/ #12;Numerical Weather Prediction Collect Observations alters associated weather patterns. Models used to predict weather depend on the current observed state

Howat, Ian M.

18

Evaluation of Precipitation from Numerical Weather Prediction Models and Satellites Using Values Retrieved from Radars  

Science Journals Connector (OSTI)

Precipitation is evaluated from two weather prediction models and satellites, taking radar-retrieved values as a reference. The domain is over the central and eastern United States, with hourly accumulated precipitation over 21 days for the ...

Slavko Vasi?; Charles A. Lin; Isztar Zawadzki; Olivier Bousquet; Diane Chaumont

2007-11-01T23:59:59.000Z

19

Estimation of the mean depth of boreal lakes for use in numerical weather prediction and climate modelling  

E-Print Network (OSTI)

in the numerical weather prediction (NWP) and climate models through parameterisation. For parameterisation, data. The effect of lakes should be parameterised in numerical weather prediction (NWP) and climate modellingEstimation of the mean depth of boreal lakes for use in numerical weather prediction and climate

Paris-Sud XI, Université de

20

EXPLICIT SIMULATION OF ICE PARTICLE HABITS IN A NUMERICAL WEATHER PREDICTION MODEL  

E-Print Network (OSTI)

EXPLICIT SIMULATION OF ICE PARTICLE HABITS IN A NUMERICAL WEATHER PREDICTION MODEL by Tempei This study develops a scheme for explicit simulation of ice particle habits in Cloud Resolving Models (CRMs is called Spectral Ice Habit Prediction System (SHIPS), which represents a continuous-property approach

Wisconsin at Madison, University of

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation  

E-Print Network (OSTI)

We propose in this paper an original technique to predict global radiation using a hybrid ARMA/ANN model and data issued from a numerical weather prediction model (ALADIN). We particularly look at the Multi-Layer Perceptron. After optimizing our architecture with ALADIN and endogenous data previously made stationary and using an innovative pre-input layer selection method, we combined it to an ARMA model from a rule based on the analysis of hourly data series. This model has been used to forecast the hourly global radiation for five places in Mediterranean area. Our technique outperforms classical models for all the places. The nRMSE for our hybrid model ANN/ARMA is 14.9% compared to 26.2% for the na\\"ive persistence predictor. Note that in the stand alone ANN case the nRMSE is 18.4%. Finally, in order to discuss the reliability of the forecaster outputs, a complementary study concerning the confidence interval of each prediction is proposed

Voyant, Cyril; Paoli, Christophe; Nivet, Marie Laure

2012-01-01T23:59:59.000Z

22

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network (OSTI)

. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surfaceAmending Numerical Weather Prediction forecasts using GPS Integrated Water Vapour: a case study to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents

Stoffelen, Ad

23

Low Clouds Contribute to Weather Prediction Model Bias | U.S. DOE Office of  

Office of Science (SC) Website

2 2 » Low Clouds Contribute to Weather Prediction Model Bias Biological and Environmental Research (BER) BER Home About Research Facilities Science Highlights Searchable Archive of BER Highlights External link Benefits of BER Funding Opportunities Biological & Environmental Research Advisory Committee (BERAC) News & Resources Contact Information Biological and Environmental Research U.S. Department of Energy SC-23/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3251 F: (301) 903-5051 E: sc.ber@science.doe.gov More Information » November 2012 Low Clouds Contribute to Weather Prediction Model Bias Long-term measurement records improve the representation of clouds in climate and weather forecast models. Print Text Size: A A A Subscribe

24

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States  

E-Print Network (OSTI)

fornumericalweatherpredictionandclimatemodels. Abstract: Numericalweatherprediction(NWP)modelsareModeloutputstatistics(MOS),NumericalWeatherPrediction(

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

25

Assimilation of Satellite Cloud and Precipitation Observations in Numerical Weather Prediction Models: Introduction to the JAS Special Collection  

Science Journals Connector (OSTI)

To date, the assimilation of satellite measurements in numerical weather prediction (NWP) models has focused on the clear atmosphere. But satellite observations in the visible, infrared, and microwave provide a great deal of information on clouds ...

Ronald M. Errico; George Ohring; Fuzhong Weng; Peter Bauer; Brad Ferrier; Jean-Franois Mahfouf; Joe Turk

2007-11-01T23:59:59.000Z

26

Every cloud has a silver lining: Weather forecasting models could predict brain tumor  

E-Print Network (OSTI)

, and combine them with incoming data streams from weather stations and satellites. Now, an innovative new study methodology used to assimilate data for weather forecasting could be used to predict the spread of brain. Synthetic magnetic resonance images of a hypothetical tumor were used for this purpose. Data assimilation

Kuang, Yang

27

Distributed Numerical Weather Prediction via Satellite  

Science Journals Connector (OSTI)

This paper describes a recent undertaking in distributed numerical weather prediction via high data rate networks. The governing project involved the operation of a coupled mesoscale modeling system on widely separated supercomputers, and ...

Jordan G. Powers; Mark T. Stoelinga; William S. Boyd

1997-12-01T23:59:59.000Z

28

AMPS, a real-time mesoscale modeling system, has provided a decade of service for scientific and logistical needs and has helped advance polar numerical weather prediction  

E-Print Network (OSTI)

and logistical needs and has helped advance polar numerical weather prediction as well as understanding support for the USAP. The concern at the time was the numerical weather prediction (NWP) guidance-time implementation of the Weather Research and Forecasting model (WRF; Skamarock et al. 2008) to support the U

Howat, Ian M.

29

Coupling a Mesoscale Numerical Weather Prediction Model with Large-Eddy Simulation for Realistic Wind Plant Aerodynamics Simulations (Poster)  

SciTech Connect

Wind plant aerodynamics are influenced by a combination of microscale and mesoscale phenomena. Incorporating mesoscale atmospheric forcing (e.g., diurnal cycles and frontal passages) into wind plant simulations can lead to a more accurate representation of microscale flows, aerodynamics, and wind turbine/plant performance. Our goal is to couple a numerical weather prediction model that can represent mesoscale flow [specifically the Weather Research and Forecasting model] with a microscale LES model (OpenFOAM) that can predict microscale turbulence and wake losses.

Draxl, C.; Churchfield, M.; Mirocha, J.; Lee, S.; Lundquist, J.; Michalakes, J.; Moriarty, P.; Purkayastha, A.; Sprague, M.; Vanderwende, B.

2014-06-01T23:59:59.000Z

30

DREAM tool increases space weather predictions  

E-Print Network (OSTI)

and an interactive user interface to support satellite operators and space weather forecasters. For national security- 1 - DREAM tool increases space weather predictions April 13, 2012 Predicting space weather in an article published in Space Weather, a journal of the American Geophysical Union. Space environment and its

31

Multigrid methods for improving the variational data assimilation in numerical weather prediction  

E-Print Network (OSTI)

conditions are needed to solve numerical weather prediction models: initial condition and boundary conditionMultigrid methods for improving the variational data assimilation in numerical weather prediction: numerical weather prediction, variational data assimilation, minimization procedure, multigrid methods, cell

Kwak, Do Young

32

Satellite Application Facility for Numerical Weather Prediction  

E-Print Network (OSTI)

NWP SAF Satellite Application Facility for Numerical Weather Prediction Document NWPSAF-KN-VS-002 Stoffelen KNMI #12;NWP SAF Satellite Application Facility for Numerical Weather Prediction Report of the EUMETSAT Satellite Application Facility on Numerical Weather Prediction (NWP SAF), under the Cooperation

Stoffelen, Ad

33

Discussion of long-range weather prediction  

SciTech Connect

A group of scientists at Los Alamos have held a series of discussions of the issues in and prospects for improvements in Long-range Weather Predictions Enabled by Proving of the Atmosphere at High Space-Time Resolution. The group contained the requisite skills for a full evaluation, although this report presents only an informal discussion of the main technical issues. The group discussed all aspects of the proposal, which are grouped below into the headings: (1) predictability; (2) sensors and satellites, (3) DIAL and atmospheric sensing; (4) localized transponders; and (5) summary and integration. Briefly, the group agreed that the relative paucity of observations of the state of the atmosphere severely inhibits the accuracy of weather forecasts, and any program that leads to a more dense and uniform observational network is welcome. As shown in Long-range Weather more dense and uniform observational network is welcome. As shown in Long-range Weather Predictions, the pay-back of accurate long-range forecasts should more than justify the expenditure associated with improved observations and forecast models required. The essential step is to show that the needed technologies are available for field test and space qualification.

Canavan, G.H.

1998-09-10T23:59:59.000Z

34

On the Use of QuikSCAT Scatterometer Measurements of Surface Winds for Marine Weather Prediction  

E-Print Network (OSTI)

and ECMWF global numerical weather prediction models considerably underestimated the spatial variability Centre for Medium-Range Weather Forecasts (ECMWF) global numerical weather prediction (NWP) modelsOn the Use of QuikSCAT Scatterometer Measurements of Surface Winds for Marine Weather Prediction

Kurapov, Alexander

35

A real time model to forecast 24 hours ahead, ozone peaks and exceedance levels. Model based on artificial neural networks, neural classifier and weather predictions.  

E-Print Network (OSTI)

on artificial neural networks, neural classifier and weather predictions. Application in an urban atmosphere - will be solved. Keywords: Artificial neural network; Multilayer Perceptron; ozone modelling; statistical stepwise and Software 22, 9 (2007) 1261-1269" DOI : 10.1016/j.envsoft.2006.08.002 #12;Abstract A neural network combined

Paris-Sud XI, Université de

36

Information Flow in Ensemble Weather Predictions  

Science Journals Connector (OSTI)

In a weather prediction, information flows from the initial conditions to a later prediction. The uncertainty in the initial conditions implies that such a flow should be quantified with tools from probability theory. Using several recent ...

Richard Kleeman

2007-03-01T23:59:59.000Z

37

A GIS tool for the evaluation of the precipitation forecasts of a numerical weather prediction model using satellite data  

Science Journals Connector (OSTI)

In this study, the possibility of implementing Geographic Information Systems (GIS) for developing an integrated and automatic operational system for the real-time evaluation of the precipitation forecasts of the numerical weather prediction model BOLAM (BOlogna Limited Area Model) in Greece, is examined. In fact, the precipitation estimates derived by an infrared satellite technique are used for real-time qualitative and quantitative verification of the precipitation forecasts of the model BOLAM through the use of a GIS tool named as precipitation forecasts evaluator (PFE). The application of the developed tool in a case associated with intense precipitation in Greece, suggested that PFE could be a very important support tool for nowcasting and very short-range forecasting of such events.

Haralambos Feidas; Themistoklis Kontos; Nikolaos Soulakellis; Konstantinos Lagouvardos

2007-01-01T23:59:59.000Z

38

Temporal Changes in Wind as Objects for Evaluating Mesoscale Numerical Weather Prediction  

E-Print Network (OSTI)

a method of evaluating numerical weather prediction models by comparing the characteristics of temporal for biases in features forecast by the model. 1. Introduction Verification of numerical weather predictionTemporal Changes in Wind as Objects for Evaluating Mesoscale Numerical Weather Prediction DARAN L

Knievel, Jason Clark

39

NOAA Center for Weather and Climate Prediction NOAA Center for Weather and  

E-Print Network (OSTI)

Prediction, Satellite and Information Service and Air Resources Laboratory. The National Weather ServiceNOAA Center for Weather and Climate Prediction NOAA Center for Weather and Climate Prediction The NOAA Center for Weather and Climate Prediction in College Park,Md., houses dedicated scientists who

40

Wind resource assessment using numerical weather prediction models and multi-criteria decision making technique: case study (Masirah Island, Oman)  

Science Journals Connector (OSTI)

The Authority for Electricity Regulation in Oman has recently announced the implementation of a 500 kW wind farm pilot project in Masirah Island. Detailed wind resource assessment is then required to identify the most suitable location for this project. This paper presents wind resource assessment using nested ensemble numerical weather prediction (NWP) model's approach at 2.8 km resolution and multi-criteria decision making (MCDM) technique. A case study based on the proposed approach is conducted over Masirah Island, Oman. The resource assessment over the island was based on the mean wind speed and wind power distribution over the entire island at different heights. In addition, important criteria such as turbulence intensity and peak hour matching are also considered. The NWP model results were verified against the available 10 m wind data observations from the meteorological station in the northern part of the island. The resource assessment criteria were evaluated using MCDM technique to score the locations over the island based on their suitability for wind energy applications. Two MCDM approaches namely equally weighted and differently weighted criteria were implemented in this paper.

Sultan Al-Yahyai; Yassine Charabi; Abdullah Al-Badi; Adel Gastli

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

WeatherSeptember2009,Vol.64,No.9 Can dispersion model predictions  

E-Print Network (OSTI)

into the atmosphere, with each particle representing a fixed mass of pollutant. Particles are transported due Office, Exeter 2 University of Reading Introduction In the case of a major pollution incident, terrorist attack, or a radioactive event such as the Chernobyl disaster in 1986, dispersion models are used

Dacre, Helen

42

Optimization of numerical weather/wave prediction models based on information geometry and computational techniques  

Science Journals Connector (OSTI)

The last years a new highly demanding framework has been set for environmental sciences and applied mathematics as a result of the needs posed by issues that are of interest not only of the scientific community but of today's society in general: global warming renewable resources of energy natural hazards can be listed among them. Two are the main directions that the research community follows today in order to address the above problems: The utilization of environmental observations obtained from in situ or remote sensing sources and the meteorological-oceanographic simulations based on physical-mathematical models. In particular trying to reach credible local forecasts the two previous data sources are combined by algorithms that are essentially based on optimization processes. The conventional approaches in this framework usually neglect the topological-geometrical properties of the space of the data under study by adopting least square methods based on classical Euclidean geometry tools. In the present work new optimization techniques are discussed making use of methodologies from a rapidly advancing branch of applied Mathematics the Information Geometry. The latter prove that the distributions of data sets are elements of non-Euclidean structures in which the underlying geometry may differ significantly from the classical one. Geometrical entities like Riemannian metrics distances curvature and affine connections are utilized in order to define the optimum distributions fitting to the environmental data at specific areas and to form differential systems that describes the optimization procedures. The methodology proposed is clarified by an application for wind speed forecasts in the Kefaloniaisland Greece.

2014-01-01T23:59:59.000Z

43

Space Weather Prediction with Exascale Computing  

E-Print Network (OSTI)

Space weather refers to conditions on the Sun, in the interplanetary space and in the Earth space environment that can influence the performance and reliability of space-borne and ground-based technological systems and can endanger human life or health. Adverse conditions in the space environment can cause disruption of satellite operations, communications, navigation, and electric power distribution grids, leading to a variety of socioeconomic losses. The conditions in space are also linked to the Earth climate. The activity of the Sun affects the total amount of heat and light reaching the Earth and the amount of cosmic rays arriving in the atmosphere, a phenomenon linked with the amount of cloud cover and precipitation. Given these great impacts on society, space weather is attracting a growing attention and is the subject of international efforts worldwide. We focus here on the steps necessary for achieving a true physics-based ability to predict the arrival and consequences of major space weather storms....

Lapenta, Giovanni

2011-01-01T23:59:59.000Z

44

Soil moisture in complex terrain: quantifying effects on atmospheric boundary layer flow and providing improved surface boundary conditions for mesoscale models  

E-Print Network (OSTI)

compressible numerical weather prediction model incompressible numerical weather prediction model withcompressible numerical weather prediction model in

Daniels, Megan Hanako

2010-01-01T23:59:59.000Z

45

On-line Chemistry within WRF: Description and Evaluation of a State-of-the-Art Multiscale Air Quality and Weather Prediction Model  

SciTech Connect

This is a conference proceeding that is now being put together as a book. This is chapter 2 of the book: "INTEGRATED SYSTEMS OF MESO-METEOROLOGICAL AND CHEMICAL TRANSPORT MODELS" published by Springer. The chapter title is "On-line Chemistry within WRF: Description and Evaluation of a State-of-the-Art Multiscale Air Quality and Weather Prediction Model." The original conference was the COST-728/NetFAM workshop on Integrated systems of meso-meteorological and chemical transport models, Danish Meteorological Institute, Copenhagen, May 21-23, 2007.

Grell, Georg; Fast, Jerome D.; Gustafson, William I.; Peckham, Steven E.; McKeen, Stuart A.; Salzmann, Marc; Freitas, Saulo

2010-01-01T23:59:59.000Z

46

Tropical and subtropical cloud transitions in weather and climate prediction models: the GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI)  

SciTech Connect

A model evaluation approach is proposed where weather and climate prediction models are analyzed along a Pacific Ocean cross-section, from the stratocumulus regions off the coast of California, across the shallow convection dominated trade-winds, to the deep convection regions of the ITCZ: the GCSS/WGNE Pacific Cross-section Intercomparison (GPCI). The main goal of GPCI is to evaluate, and help understand and improve the representation of tropical and sub-tropical cloud processes in weather and climate prediction models. In this paper, a detailed analysis of cloud regime transitions along the cross-section from the sub-tropics to the tropics for the season JJA of 1998 is presented. This GPCI study confirms many of the typical weather and climate prediction model problems in the representation of clouds: underestimation of clouds in the stratocumulus regime by most models with the corresponding consequences in terms of shortwave radiation biases; overestimation of clouds by the ECMWF Re-Analysis (ERA40) in the deep tropics (in particular) with the corresponding impact in the outgoing longwave radiation; large spread between the different models in terms of cloud cover, liquid water path and shortwave radiation; significant differences between the models in terms of vertical crosssections of cloud properties (in particular), vertical velocity and relative humidity. An alternative analysis of cloud cover mean statistics is proposed where sharp gradients in cloud cover along the GPCI transect are taken into account. This analysis shows that the negative cloud bias of some models and ERA40 in the stratocumulus regions (as compared to ISCCP) is associated not only with lower values of cloud cover in these regimes, but also with a stratocumulus-to-cumulus transition that occurs too early along the trade-wind Lagrangian trajectory. Histograms of cloud cover along the cross-section differ significantly between models. Some models exhibit a quasi-bimodal structure with cloud cover being either very large (close to 100%) or very small, while other models show a more continuous transition. The ISCCP observations suggest that reality is in-between these two extreme examples. These different patterns reflect the diverse nature of the cloud, boundary layer, and convection parameterizations in the participating weather and climate prediction models.

Teixeira, J.; Cardoso, S.; Bonazzola, M.; Cole, Jason N.; DelGenio, Anthony D.; DeMott, C.; Franklin, A.; Hannay, Cecile; Jakob, Christian; Jiao, Y.; Karlsson, J.; Kitagawa, H.; Koehler, M.; Kuwano-Yoshida, A.; LeDrian, C.; Lock, Adrian; Miller, M.; Marquet, P.; Martins, J.; Mechoso, C. R.; Meijgaard, E. V.; Meinke, I.; Miranda, P.; Mironov, D.; Neggers, Roel; Pan, H. L.; Randall, David A.; Rasch, Philip J.; Rockel, B.; Rossow, William B.; Ritter, B.; Siebesma, A. P.; Soares, P.; Turk, F. J.; Vaillancourt, P.; Von Engeln, A.; Zhao, M.

2011-11-01T23:59:59.000Z

47

DREAM tool increases space weather predictions  

NLE Websites -- All DOE Office Websites (Extended Search)

using real-time space weather observations and an interactive user interface to support satellite operators and space weather forecasters. For national security applications,...

48

The Impact of Satellite Data on Global Numerical Weather Prediction  

Science Journals Connector (OSTI)

The European Centre for Medium Range Weather Forecasts (ECMWF) produces operational global forecasts ... state of the atmosphere at 12Z. The satellite data used in a global Numerical Weather Prediction (NWP) syst...

J. Pailleux

1987-01-01T23:59:59.000Z

49

ATS 680 A6: Applied Numerical Weather Prediction MW, 1:00-1:50 PM, ACRC Room 212B  

E-Print Network (OSTI)

experiments using a state-of-the-art numerical weather prediction model · Discuss the strengths and weaknesses, Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models, Cambridge University PressATS 680 A6: Applied Numerical Weather Prediction Fall 2013 MW, 1:00-1:50 PM, ACRC Room 212B Course

50

Satellite Data Assimilation in Numerical Weather Prediction Models. Part I: Forward Radiative Transfer and Jacobian Modeling in Cloudy Atmospheres  

Science Journals Connector (OSTI)

Satellite data assimilation requires rapid and accurate radiative transfer and radiance gradient models. For a vertically stratified scattering and emitting atmosphere, the vector discrete-ordinate radiative transfer model (VDISORT) was developed ...

Fuzhong Weng; Quanhua Liu

2003-11-01T23:59:59.000Z

51

Metr 6803: Numerical Weather Prediction Syllabus: Spring 2013 M / W 10:00-11:15, NWC 5930  

E-Print Network (OSTI)

Metr 6803: Numerical Weather Prediction Syllabus: Spring 2013 M / W ­ 10:00-11:15, NWC 5930 weather analysis (NWA) and numerical weather prediction (NWP)? - why are they important? - how "good of numerics of GFS, RUC/RAP, CAPS, MM5, WRF models 11. Atmospheric Predictability - basic concepts

Droegemeier, Kelvin K.

52

HOW ACCURATE ARE WEATHER MODELS IN ASSISTING AVALANCHE FORECASTERS? M. Schirmer, B. Jamieson  

E-Print Network (OSTI)

and decision makers strongly rely on Numerical Weather Prediction (NWP) models, for example on the forecasted on forecasted precipitation. KEYWORDS: Numerical weather prediction models, validation, precipitation 1. INTRODUCTION Numerical Weather Prediction (NWP) models are widely used by avalanche practitioners. Their de

Jamieson, Bruce

53

Kalman Filter and Analog Schemes to Postprocess Numerical Weather Predictions  

Science Journals Connector (OSTI)

Two new postprocessing methods are proposed to reduce numerical weather predictions systematic and random errors. The first method consists of running a postprocessing algorithm inspired by the Kalman filter (KF) through an ordered set of analog ...

Luca Delle Monache; Thomas Nipen; Yubao Liu; Gregory Roux; Roland Stull

2011-11-01T23:59:59.000Z

54

WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES  

Office of Legacy Management (LM)

ARLV - ARLV - 3 51 - 4 / WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES for the RULISON EVENT Final Report Albert H . S t o u t , Ray E . White, and V i r g i l E. Quinn Environmental Science Services Administration A i r Resources Laboratory - Las Vegas PROPERW OF U. S. GOVERNMENT Prepared Under Contract SF-54-351 f o r the Nevada Operations O f f i c e U . ' S . Atomic Energy Commission January 1970 LEGAL NOTSCCE ; L *U . . . . . - . T h i s r e p o r t w a s prepared a s an account o f Government spon- s o r e d work. N e i t h e r t h e United S t a t e s , nor t h e Commission, . n o r any person a c t i n g on b e h a l f of t h e Commission: A . Makes any warranty o r r e p r e s e n t a t i o n , e x p r e s s e d o r implied, w i t h r e s p e c t t o the a c c u r a c y , completeness, or u s e h l n e s s o f t h e information c o n t a i n e d i n t h i s r e p o r t , o r t h a

55

Fixed points, stable manifolds, weather regimes, and their predictability  

In a simple, one-layer atmospheric model, we study the links between low-frequency variability and the models fixed points in phase space. The model dynamics is characterized by the coexistence of multiple weather regimes. To investigate the transitions from one regime to another, we focus on the identification of stable manifolds associated with fixed points. We show that these manifolds act as separatrices between regimes. We track each manifold by making use of two local predictability measures arising from the meteorological applications of nonlinear dynamics, namely, bred vectors and singular vectors. These results are then verified in the framework of ensemble forecasts issued from clouds (ensembles) of initial states. The divergence of the trajectories allows us to establish the connections between zones of low predictability, the geometry of the stable manifolds, and transitions between regimes.

Deremble, Bruno; D'Andrea, Fabio; Ghil, Michael [Univ. of California, Los Angeles, CA (United Staes). Atmospheric and Oceanic Sciences and Institute of Geophysics and Planetary Physics

2009-10-27T23:59:59.000Z

56

Beyond weather time scale prediction for Hurricane Sandy and Super Typhoon Haiyan in a global climate model  

Science Journals Connector (OSTI)

While tropical cyclone (TC) prediction, in particular TC genesis, remains very challenging, accurate prediction of TCs is critical for timely preparedness and mitigation. Using a new version of the Geophysical Fluid Dynamics Laboratory (GFDL) ...

Baoqiang Xiang; Shian-Jiann Lin; Ming Zhao; Shaoqing Zhang; Gabriel Vecchi; Tim Li; Xianan Jiang; Lucas Harris; Jan-Huey Chen

57

Temporal Changes in Wind as Objects for Evaluating Mesoscale Numerical Weather Prediction  

Science Journals Connector (OSTI)

The study describes a method of evaluating numerical weather prediction models by comparing the characteristics of temporal changes in simulated and observed 10-m (AGL) winds. The method is demonstrated on a 1-yr collection of 1-day simulations ...

Daran L. Rife; Christopher A. Davis; Jason C. Knievel

2009-10-01T23:59:59.000Z

58

The Use of Satellite Data in Numerical Weather Prediction  

Science Journals Connector (OSTI)

The basic ideas of numerical weather prediction (NWP) are introduced and it ... so called conventional observations with remotely-sensed (satellite based) measurements is demonstrated. The true nature of satellite

A. P. McNally

1994-01-01T23:59:59.000Z

59

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation  

E-Print Network (OSTI)

Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproductions. With this paper, we take a computer science perspective on energy prediction based on weather data and analyze the important parameters as well as their correlation on the energy output. To deal with the interaction of the different parameters we use symbolic regression based on the genetic programming tool DataModeler. Our studies are carried out on publicly available weather and energy data for a wind farm in Australia. We reveal the correlation of the different variables for the energy output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly given weather data.

Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

2011-01-01T23:59:59.000Z

60

Comparison of Snow Cover from Satellite and Numerical Weather Prediction Models in the Northern Hemisphere and Northern Europe  

Science Journals Connector (OSTI)

Snow cover has a strong effect on the surface and lower atmosphere in NWP models. Because the progress of in situ observations has stalled, satellite-based snow analyses are becoming increasingly important. Currently, there exist several products ...

Otto Hyvrinen; Kalle Eerola; Niilo Siljamo; Jarkko Koskinen

2009-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

PREDICTIVE MODELS  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding; 2) carbon dioxide miscible flooding; 3) in-situ combustion; 4) polymer flooding; and 5) steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. (DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States))

1988-10-01T23:59:59.000Z

62

Predicting the microbial "weather" | Argonne National Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

News News Press Releases Feature Stories In the News Experts Guide Media Contacts Social Media Photos Videos Fact Sheets, Brochures and Reports Summer Science Writing Internship Predicting the microbial "weather" By Louise Lerner * April 16, 2012 Tweet EmailPrint ARGONNE, Ill.-New computer models are letting scientists forecast changes in the population of microbes in the English Channel up to a week in advance. Environmental microbiologist Jack Gilbert of the U.S. Department of Energy's Argonne National Laboratory heads the Earth Microbiome Project, an initiative to sample and analyze DNA from bacteria, viruses, algae and fungi across the world. Our environment is full of microbes that affect everything from human health to climate change, and these microbes are

63

Special issue of Terrestrial, Atmospheric and Oceanic Science, 11(1), 157-186, March 2000. Assimilation of GPS Radio Occultation Data for Numerical Weather Prediction  

E-Print Network (OSTI)

Assimilation of GPS Radio Occultation Data for Numerical Weather Prediction Y-H. Kuo1 , S. Sokolovskiy2, 3 , R, water vapor), and to effectively assimilate them into weather prediction models is a challenging task assimilation, GPS/MET, numerical weather prediction, COSMIC) 1. INTRODUCTION The lack of data over the oceans

64

Predicting Solar Generation from Weather Forecasts Using Machine Learning  

E-Print Network (OSTI)

Predicting Solar Generation from Weather Forecasts Using Machine Learning Navin Sharma, Pranshu Sharma, David Irwin, and Prashant Shenoy Department of Computer Science University of Massachusetts Amherst Amherst, Massachusetts 01003 {nksharma,pranshus,irwin,shenoy}@cs.umass.edu Abstract--A key goal

Shenoy, Prashant

65

High resolution weather modeling for improved fire management  

Science Journals Connector (OSTI)

A critical element to the accurate prediction of fire/weather behaviour is the knowledge of near-surface weather. Weather variables, such as wind, temperature, humidity and precipitation, make direct impacts on the practice of managing prescribed burns ... Keywords: fire behavior, numerical weather prediction, parallel computing

Kevin Roe; Duane Stevens; Carol McCord

2001-11-01T23:59:59.000Z

66

PREDICTIVE MODELS  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2) carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3) in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4) polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5) steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. (DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States))

1986-12-01T23:59:59.000Z

67

Uncertainty in weather and climate prediction  

Science Journals Connector (OSTI)

...considers the challenges posed by a...its upscale energy transports...Lorenz. Early implementation of probabilistic...humidity, winds and pressure...where upscale energy cascades are...some serious challenges, however...stochastic kinetic energy backscatter...system models: challenges and achievementsPhil...

2011-01-01T23:59:59.000Z

68

Weather  

NLE Websites -- All DOE Office Websites (Extended Search)

and the variations in atmospheric conditions that produce weather. The Weather Machine, LANL's meteorological monitoring program, supports Laboratory operations and...

69

Applications of satellite remote sensing in numerical weather and climate prediction  

Science Journals Connector (OSTI)

The year 2000 marks the 40th anniversary of the launch of the first weather satellite. The images of cloud systems from the early satellites enabled forecasters to locate and monitor the movements of storms. Today's satellites provide a wealth of quantitative information about the constantly changing state of the Earth's atmosphere, ocean, and land surface. Significant strides are being made by operational centers around the world to effectively use these remotely-sensed observations in forecast models. The satellite measurements are used to initialize, provide boundary conditions for, and verify predictions of models. As an example of the state of the art, this paper reviews how satellite observations are used in the numerical weather and climate prediction models of the U.S. National Weather Service. The National Weather Service, National Centers for Environmental Prediction (NCEP), Environmental Modeling Center (EMC) develops regional and global weather prediction models, coupled ocean-atmosphere models for seasonal to interannual climate predictions, and a coastal ocean forecast model. A three dimensional variational data assimilation system is used to specify the initial conditions for the forecast models. Data from the following satellite instruments are currently used in one or more of these models: High Resolution Infrared Sounder (HIRS), Microwave Sounding Unit (MSU), Advanced Microwave Sounding Unit-A (AMSU-A), Geostationary Operational Environmental Satellites (GOES) sounder, GOES, METEOSAT, and Geostationary Meteorology Satellite (GMS) imagers, Advanced Very High Resolution Radiometer (AVHRR), Special Sensor Microwave/Imager (SSM/I), ESA Remote-sensing Satellite-2 (ERS-2) scatterometer, Solar Backscatter Ultraviolet Spectrometer/2 (SBUV/2), and Oceanic Topography Experiment (TOPEX) and ERS-2 altimeters.

G. Ohring; S. Lord; J. Derber; K. Mitchell; M. Ji

2002-01-01T23:59:59.000Z

70

Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe  

Science Journals Connector (OSTI)

Abstract This article combines and discusses three independent validations of global horizontal irradiance (GHI) multi-day forecast models that were conducted in the US, Canada and Europe. All forecast models are based directly or indirectly on numerical weather prediction (NWP). Two models are common to the three validation efforts the ECMWF global model and the GFS-driven WRF mesoscale model and allow general observations: (1) the GFS-based WRF- model forecasts do not perform as well as global forecast-based approaches such as ECMWF and (2) the simple averaging of models output tends to perform better than individual models.

Richard Perez; Elke Lorenz; Sophie Pelland; Mark Beauharnois; Glenn Van Knowe; Karl Hemker Jr.; Detlev Heinemann; Jan Remund; Stefan C. Mller; Wolfgang Traunmller; Gerald Steinmauer; David Pozo; Jose A. Ruiz-Arias; Vicente Lara-Fanego; Lourdes Ramirez-Santigosa; Martin Gaston-Romero; Luis M. Pomares

2013-01-01T23:59:59.000Z

71

The CCPP-ARM Parameterization Testbed (CAPT): Where Climate Simulation Meets Weather Prediction  

SciTech Connect

To significantly improve the simulation of climate by general circulation models (GCMs), systematic errors in representations of relevant processes must first be identified, and then reduced. This endeavor demands, in particular, that the GCM parameterizations of unresolved processes should be tested over a wide range of time scales, not just in climate simulations. Thus, a numerical weather prediction (NWP) methodology for evaluating model parameterizations and gaining insights into their behavior may prove useful, provied that suitable adaptations are made for implementation in climate GCMs. This method entails the generation of short-range weather forecasts by realistically initialized climate GCM, and the application of six-hourly NWP analyses and observations of parameterized variables to evaluate these forecasts. The behavior of the parameterizations in such a weather-forecasting framework can provide insights on how these schemes might be improved, and modified parameterizations then can be similarly tested. In order to further this method for evaluating and analyzing parameterizations in climate GCMs, the USDOE is funding a joint venture of its Climate Change Prediction Program (CCPP) and Atmospheric Radiation Measurement (ARM) Program: the CCPP-ARM Parameterization Testbed (CAPT). This article elaborates the scientific rationale for CAPT, discusses technical aspects of its methodology, and presents examples of its implementation in a representative climate GCM. Numerical weather prediction methods show promise for improving parameterizations in climate GCMs.

Phillips, T J; Potter, G L; Williamson, D L; Cederwall, R T; Boyle, J S; Fiorino, M; Hnilo, J J; Olson, J G; Xie, S; Yio, J J

2003-11-21T23:59:59.000Z

72

Location-specific weather predictions for Sriharikota (13.72N, 80.22E) through numerical atmospheric models during satellite launch campaigns  

Science Journals Connector (OSTI)

Accurate knowledge of different meteorological parameters over a launch site is very crucial for efficient management of satellite launch operations. Local weather over the Indian satellite launch site located at...

D. Bala Subrahamanyam; Radhika Ramachandran; S. Indira Rani

2012-04-01T23:59:59.000Z

73

USING SATELLITE OBSERVATIONS AND REANALYSES TO EVALUATE CLIMATE AND WEATHER FORECAST MODELS  

E-Print Network (OSTI)

USING SATELLITE OBSERVATIONS AND REANALYSES TO EVALUATE CLIMATE AND WEATHER FORECAST MODELS Richard Email: rpa@mail.nerc-essc.ac.uk ABSTRACT Satellite observations of water vapour and radiative fluxes are used in combination with reanalyses data to evaluate the Met Office weather and climate prediction

Allan, Richard P.

74

Higher Order Neural Networks for Satellite Weather Prediction  

Science Journals Connector (OSTI)

Traditional statistical approaches to modeling and prediction have met with only limited success [30]. As a result, researchers have turned to alternative approaches. In this context, Artificial Neural Network...

Ming Zhang; John Fulcher

2004-01-01T23:59:59.000Z

75

An improved lake model for climate simulations: Model structure, evaluation, and sensitivity analyses in CESM1  

E-Print Network (OSTI)

into the numerical weather prediction model COSMO, BorealCurrent numerical weather prediction (NWP) models, regionalof lakes in numerical weather prediction and climate models:

Subin, Z.M.

2013-01-01T23:59:59.000Z

76

ASSIMILATION OF DOPPLER RADAR DATA INTO NUMERICAL WEATHER MODELS  

SciTech Connect

During the year 2008, the United States National Weather Service (NWS) completed an eight fold increase in sampling capability for weather radars to 250 m resolution. This increase is expected to improve warning lead times by detecting small scale features sooner with increased reliability; however, current NWS operational model domains utilize grid spacing an order of magnitude larger than the radar data resolution, and therefore the added resolution of radar data is not fully exploited. The assimilation of radar reflectivity and velocity data into high resolution numerical weather model forecasts where grid spacing is comparable to the radar data resolution was investigated under a Laboratory Directed Research and Development (LDRD) 'quick hit' grant to determine the impact of improved data resolution on model predictions with specific initial proof of concept application to daily Savannah River Site operations and emergency response. Development of software to process NWS radar reflectivity and radial velocity data was undertaken for assimilation of observations into numerical models. Data values within the radar data volume undergo automated quality control (QC) analysis routines developed in support of this project to eliminate empty/missing data points, decrease anomalous propagation values, and determine error thresholds by utilizing the calculated variances among data values. The Weather Research and Forecasting model (WRF) three dimensional variational data assimilation package (WRF-3DVAR) was used to incorporate the QC'ed radar data into input and boundary conditions. The lack of observational data in the vicinity of SRS available to NWS operational models signifies an important data void where radar observations can provide significant input. These observations greatly enhance the knowledge of storm structures and the environmental conditions which influence their development. As the increase in computational power and availability has made higher resolution real-time model simulations possible, the need to obtain observations to both initialize numerical models and verify their output has become increasingly important. The assimilation of high resolution radar observations therefore provides a vital component in the development and utility of numerical model forecasts for both weather forecasting and contaminant transport, including future opportunities to improve wet deposition computations explicitly.

Chiswell, S.; Buckley, R.

2009-01-15T23:59:59.000Z

77

Hydrometeorological Analysis and Remote Sensing of Extremes: Was the July 2012 Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems?  

Science Journals Connector (OSTI)

Prediction and thus preparedness in advance of flood events is crucial for proactively reducing their impacts. In the summer of 2012, Beijing, the capital of China, experienced extreme rainfall and flooding causing economic losses to the tune of ...

Yu Zhang; Yang Hong; Xuguang Wang; Jonathan J. Gourley; Xianwu Xue; Manabendra Saharia; Guangheng Ni; Gaili Wang; Yong Huang; Sheng Chen; Guoqiang Tang

78

Model error in weather forecasting D. Orrell 1,2 , L. Smith 1,3 , J. Barkmeijer 4 , and T. Palmer 4  

E-Print Network (OSTI)

numerical weather prediction mod­ els. A simple law is derived to relate model error to likely shadowingModel error in weather forecasting D. Orrell 1,2 , L. Smith 1,3 , J. Barkmeijer 4 , and T. Palmer 4 in the model, and inac­ curate initial conditions (Bjerknes, 1911). Because weather models are thought

Smith, Leonard A

79

Assessing the Capability of a Regional-Scale Weather Model to Simulate Extreme Precipitation Patterns and Flooding in Central Texas  

Science Journals Connector (OSTI)

A regional-scale weather model is used to determine the potential for flood forecasting based on model-predicted rainfall. Extreme precipitation and flooding events are a significant concern in central Texas, due to both the high occurrence and ...

Marla R. Knebl Lowrey; Zong-Liang Yang

2008-12-01T23:59:59.000Z

80

The Value of a Variable Resolution Approach to Numerical Weather Prediction  

Science Journals Connector (OSTI)

It is shown that a numerical weather prediction system with variable resolution, higher in the early forecast range and lower afterward, provides more skilful forecasts than a system with constant resolution. Results indicate that the advantage ...

Roberto Buizza

2010-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Accurately Estimating the State of a Geophysical System with Sparse Observations: Predicting the Weather  

E-Print Network (OSTI)

Utilizing the information in observations of a complex system to make accurate predictions through a quantitative model when observations are completed at time $T$, requires an accurate estimate of the full state of the model at time $T$. When the number of measurements $L$ at each observation time within the observation window is larger than a sufficient minimum value $L_s$, the impediments in the estimation procedure are removed. As the number of available observations is typically such that $L \\ll L_s$, additional information from the observations must be presented to the model. We show how, using the time delays of the measurements at each observation time, one can augment the information transferred from the data to the model, removing the impediments to accurate estimation and permitting dependable prediction. We do this in a core geophysical fluid dynamics model, the shallow water equations, at the heart of numerical weather prediction. The method is quite general, however, and can be utilized in the analysis of a broad spectrum of complex systems where measurements are sparse. When the model of the complex system has errors, the method still enables accurate estimation of the state of the model and thus evaluation of the model errors in a manner separated from uncertainties in the data assimilation procedure.

Zhe An; Daniel Rey; Henry D. I. Abarbanel

2014-05-11T23:59:59.000Z

82

Fire weather simulation skill by the Weather Research and Forecasting (WRF) model over south-east Australia  

E-Print Network (OSTI)

values were driven mainly by WRF errors in wind speed simulation. However, in both cases the qualityFire weather simulation skill by the Weather Research and Forecasting (WRF) model over south-east Australia from 1985 to 2009 has been simulated using the Weather Research and Forecasting (WRF) model

Evans, Jason

83

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network (OSTI)

................................................................................................. 20 3.1.2 Integrate's Flow of ControlWeather Research and Forecasting Model 2.2 Documentation: A Step-by-step guide of a Model Run .......................................................................................................................... 19 3.1 The Integrate Subroutine

Sadjadi, S. Masoud

84

Modelling of space weather effects on satellite drag  

Science Journals Connector (OSTI)

For satellites on low Earth orbits, aerodynamic drag provides an important contribution to the spectrum of perturbing forces. Aerodynamic drag is only of second order magnitude or less, as compared to the first order Earth oblateness perturbation to the orbit. However, due to its energy dissipating nature, it is the driving effect for altitude decay and associated along-track dispersions. Determining parameters for the drag force are the local air densities, the projected cross-section, and a drag coefficient which describes the interaction between impinging molecules and the spacecraft surface in the regime of free-molecular flow. The local and exospheric temperature, the atmospheric composition, and the resulting densities are strongly driven by space weather effects from solar extreme ultraviolet radiation, and from coronal mass ejections which may lead to geomagnetic storms. Thermospheric models are currently the limiting factor in the accuracy of orbit determination and prediction. Any improvement in these models would greatly aid in applications such as re-entry prediction, ground-track maintenance and gravity field and geodetic science missions. This paper gives an overview of many aspects of satellite drag modelling for orbit determination. The performance of current thermosphere models is analysed using tracking data, and recent developments such as model calibration are described.

E. Doornbos; H. Klinkrad

2006-01-01T23:59:59.000Z

85

American Solar Energy Society Proc. ASES Annual Conference, Raleigh, NC, EVALUATION OF NUMERICAL WEATHER PREDICTION  

E-Print Network (OSTI)

© American Solar Energy Society ­ Proc. ASES Annual Conference, Raleigh, NC, EVALUATION;© American Solar Energy Society ­ Proc. ASES Annual Conference, Raleigh, NC, irradiance forecasts over OF NUMERICAL WEATHER PREDICTION SOLAR IRRADIANCE FORECASTS IN THE US Richard Perez ASRC, Albany, NY, Perez

Perez, Richard R.

86

Interactive Weather Simulation and Visualization on a Display Wall  

E-Print Network (OSTI)

.hoai.ha,john.markus.bjorndalen,otto.anshus}@uit.no, {tormsh,daniels}@cs.uit.no Abstract. Numerical Weather Prediction models (NWP) used for op- erational Weather Model, WRF, Tiled Display Walls, Live Data Sets, On-Demand Computation. 1 Introduction Numerical Weather Prediction models for use in weather forecasting centers are often computed for a fixed static

Ha, Phuong H.

87

Reforecasts: An Important Dataset for Improving Weather Predictions  

Science Journals Connector (OSTI)

A reforecast (retrospective forecast) dataset has been developed. This dataset is comprised of a 15-member ensemble run out to a 2-week lead. Forecasts have been run every day from 0000 UTC initial conditions from 1979 to the present. The model ...

Thomas M. Hamill; Jeffrey S. Whitaker; Steven L. Mullen

2006-01-01T23:59:59.000Z

88

Long Range Weather Prediction III: Miniaturized Distributed Sensors for Global Atmospheric Measurements  

SciTech Connect

We continue consideration of ways-and-means for creating, in an evolutionary, ever-more-powerful manner, a continually-updated data-base of salient atmospheric properties sufficient for finite differenced integration-based, high-fidelity weather prediction over intervals of 2-3 weeks, leveraging the 10{sup 14} FLOPS digital computing systems now coming into existence. A constellation comprised of 10{sup 6}-10{sup 9} small atmospheric sampling systems--high-tech superpressure balloons carrying early 21st century semiconductor devices, drifting with the local winds over the meteorological spectrum of pressure-altitudes--that assays all portions of the troposphere and lower stratosphere remains the central feature of the proposed system. We suggest that these devices should be active-signaling, rather than passive-transponding, as we had previously proposed only for the ground- and aquatic-situated sensors of this system. Instead of periodic interrogation of the intra-atmospheric transponder population by a constellation of sophisticated small satellites in low Earth orbit, we now propose to retrieve information from the instrumented balloon constellation by existing satellite telephony systems, acting as cellular tower-nodes in a global cellular telephony system whose ''user-set'' is the atmospheric-sampling and surface-level monitoring constellations. We thereby leverage the huge investment in cellular (satellite) telephony and GPS technologies, with large technical and economic gains. This proposal minimizes sponsor forward commitment along its entire programmatic trajectory, and moreover may return data of weather-predictive value soon after field activities commence. We emphasize its high near-term value for making better mesoscale, relatively short-term weather predictions with computing-intensive means, and its great long-term utility in enhancing the meteorological basis for global change predictive studies. We again note that adverse impacts of weather involve continuing costs of the order of 1% of GDP, a large fraction of which could be retrieved if high-fidelity predictions of two weeks forward applicability were available. These {approx}$10{sup 2} B annual savings dwarf the <$1 B costs of operating a rational, long-range weather prediction system of the type proposed.

Teller, E; Leith, C; Canavan, G; Wood, L

2001-11-13T23:59:59.000Z

89

Long Range Weather Prediction III: Miniaturized Distributed Sensors for Global Atmospheric Measurements  

DOE R&D Accomplishments (OSTI)

We continue consideration of ways-and-means for creating, in an evolutionary, ever-more-powerful manner, a continually-updated data-base of salient atmospheric properties sufficient for finite differenced integration-based, high-fidelity weather prediction over intervals of 2-3 weeks, leveraging the 10{sup 14} FLOPS digital computing systems now coming into existence. A constellation comprised of 10{sup 6}-10{sup 9} small atmospheric sampling systems--high-tech superpressure balloons carrying early 21st century semiconductor devices, drifting with the local winds over the meteorological spectrum of pressure-altitudes--that assays all portions of the troposphere and lower stratosphere remains the central feature of the proposed system. We suggest that these devices should be active-signaling, rather than passive-transponding, as we had previously proposed only for the ground- and aquatic-situated sensors of this system. Instead of periodic interrogation of the intra-atmospheric transponder population by a constellation of sophisticated small satellites in low Earth orbit, we now propose to retrieve information from the instrumented balloon constellation by existing satellite telephony systems, acting as cellular tower-nodes in a global cellular telephony system whose ''user-set'' is the atmospheric-sampling and surface-level monitoring constellations. We thereby leverage the huge investment in cellular (satellite) telephony and GPS technologies, with large technical and economic gains. This proposal minimizes sponsor forward commitment along its entire programmatic trajectory, and moreover may return data of weather-predictive value soon after field activities commence. We emphasize its high near-term value for making better mesoscale, relatively short-term weather predictions with computing-intensive means, and its great long-term utility in enhancing the meteorological basis for global change predictive studies. We again note that adverse impacts of weather involve continuing costs of the order of 1% of GDP, a large fraction of which could be retrieved if high-fidelity predictions of two weeks forward applicability were available. These{approx}$10{sup 2} B annual savings dwarf the<$1 B costs of operating a rational, long-range weather prediction system of the type proposed.

Teller, E.; Leith, C.; Canavan, G.; Wood, L.

2001-11-13T23:59:59.000Z

90

The Uncoordinated Giant: Why U.S. Weather Research and Prediction  

E-Print Network (OSTI)

's Global Forecast System (GFS) model, are producing far more accurate forecasts of major cyclones and other and forecasts. But in spite of these advances, there is a growing sentiment in the community that weather developing essential technologies, and unproductive or inappropriate use of #12;4 limited manpower

Mass, Clifford F.

91

The Uncoordinated Giant: Why U.S. Weather Research and Prediction  

E-Print Network (OSTI)

accurate forecasts of major cyclones and other large-scale features. High-resolution mesoscale models of the Internet as a means for distributing weather information and forecasts. But in spite of these advances technologies, inadequate interactions with user communities, and unproductive or inappropriate use of limited

Mass, Clifford F.

92

Design of a next-generation regional weather research and forecast model.  

SciTech Connect

The Weather Research and Forecast (WRF) model is a new model development effort undertaken jointly by the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (NOAA), and a number of collaborating institutions and university scientists. The model is intended for use by operational NWP and university research communities, providing a common framework for idealized dynamical studies, fill physics numerical weather prediction, air-quality simulation, and regional climate. It will eventually supersede large, well-established but aging regional models now maintained by the participating institutions. The WRF effort includes re-engineering the underlying software architecture to produce a modular, flexible code designed from the outset to provide portable performance across diverse computing architectures. This paper outlines key elements of the WRF software design.

Michalakes, J.

1999-01-13T23:59:59.000Z

93

An Operational System for Generating Cloud Drift Winds in the Australian Region and Their Impact on Numerical Weather Prediction  

Science Journals Connector (OSTI)

The Australian Bureau of Meteorology has, since June 1992, produced cloud drift wind data for operational use. These data are used in the analysis cycle of the local operational numerical weather prediction system. This paper describes the ...

John Le Marshall; Neil Pescod; Bob Seaman; Graham Mills; Paul Stewart

1994-09-01T23:59:59.000Z

94

Characterizing uncertainty in species distribution models derived from interpolated weather station data  

E-Print Network (OSTI)

metrics of uncertainty in interpolated weather station data have varying contributions to over- and underCharacterizing uncertainty in species distribution models derived from interpolated weather station distribution models derived from interpolated weather station data. Ecosphere 4(5):61. http://dx.doi.org/10

Kueppers, Lara M.

95

Testing and Diagnosing the Ability of the Bureau of Meteorologys Numerical Weather Prediction Systems to Support Prediction of Solar Energy Production  

Science Journals Connector (OSTI)

The ability of the Australian Bureau of Meteorologys numerical weather prediction (NWP) systems to predict solar exposure (or insolation) was tested, with the aim of predicting large-scale solar energy several days in advance. The bureaus ...

Paul A. Gregory; Lawrie J. Rikus; Jeffrey D. Kepert

2012-09-01T23:59:59.000Z

96

ORIGINAL PAPER Coupled weather research and forecastingstochastic  

E-Print Network (OSTI)

ORIGINAL PAPER Coupled weather research and forecasting�stochastic time-inverted lagrangian numerical weather prediction model, the Weather Research and Forecasting (WRF) model, and a Lagrangian for a wide range of applications, including inverse flux estimates, flight plan- ning, satellite validation

Lin, John Chun-Han

97

Warm weather's a comin'! Performance Dependence on Closure  

E-Print Network (OSTI)

contributed also by Aaron Rosenberg!! #12;Wind Forecasting using Numerical Weather Prediction (NWP) Mesoscale weather models often predict the height of the LLJ too high and the magnitude too low Overwhelming 18-hr.forecasts initialized at 18Z Weather Research and Forecast (WRF) Model #12;Dissipation

McCalley, James D.

98

EFFICIENT ASSIMILATION OF RADAR DATA AT HIGH RESOLUTION FOR SHORT-RANGE NUMERICAL WEATHER PREDICTION  

E-Print Network (OSTI)

, a system using a 3DVAR wind analysis combined with a physical cloud and hydrometeor initialization are applied to the model state gradually over a period of time. Due to the short life cycles of thunderstorms PREDICTION K. Brewster1 , M. Hu1,2 , M. Xue1,2 , and J. Gao1 1 Center for Analysis and Prediction of Storms

Xue, Ming

99

AFFILIATIONS: HULTQUIST--NOAA/National Weather Service, Marquette, Michigan; DUTTER--NOAA/National Weather Service,  

E-Print Network (OSTI)

with modern numerical weather prediction models to provide detailed hindcasts of conditions throughoutAFFILIATIONS: HULTQUIST--NOAA/National Weather Service, Marquette, Michigan; DUTTER--NOAA/National Weather Service, Cleveland, Ohio; SCHWAB--NOAA/Great Lakes Environmental Research Laboratory, Ann Arbor

100

Mountain Weather Research and Forecasting Chapter 12: Bridging the Gap between Operations and Research to  

E-Print Network (OSTI)

and Research to Improve Weather Prediction in Mountainous Regions W. James Steenburgh Department of Atmospheric tools, and numerical models, and inhibits researchers from fully evaluating weaknesses in current integrated collaboration to address critical challenges for weather prediction in mountainous regions

Steenburgh, Jim

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Dispersion modeling for prediction of emission factors for cattle feedyards  

E-Print Network (OSTI)

. , 45 SUMMARY AND CONCLUSIONS PROPOSED FUTURE RESEARCH . 47 . 49 REFERENCES APPENDICES APPENDIX A PREDICTED AVERAGE YEARLY CONCENTRATIONS OF PMio UTILIZING AMARILLO WEATHER DATA 51 54 . . 55 APPENDIX B PREDICTED AVERAGE YEARLY... CONCENTRATIONS OF PM)0 UTILIZING LUBBOCK WEATHER DATA 59 VII TABLE OF CONTENTS (Coutinued) Page APPENDIX C PREDICTED AVERAGE YEARLY CONCENTRATIONS OF PM|0 UTILIZING SAN ANGELO WEATHER DATA . . 63 APPENDIX D PREDICTED AVERAGE YEARLY CONCENTRATIONS OF PM|0...

Parnell, Sarah Elizabeth

2012-06-07T23:59:59.000Z

102

State space models, filtering and environmental applications  

E-Print Network (OSTI)

;Section 1 Introductory Examples Postprocessing of numerical weather predictions Data assimilation for weather prediction Stochastic reaction networks Rare event estimation Basics of state space models Numerical weather predictions (MWP) are deterministic with high spatial and temporal resolution. Statistical

Künsch, Hans Rudolf

103

Effective Roughness Calculated from Satellite-Derived Land Cover Maps and Hedge-Information used in a Weather Forecasting Model  

Science Journals Connector (OSTI)

In numerical weather prediction, climate and hydrologicalmodelling, the grid cell size is typically larger than the horizontal length scales of variations in aerodynamicroughness, surface temperature and surfa...

Charlotte B. Hasager; Niels W. Nielsen; Niels Otto Jensen

2003-12-01T23:59:59.000Z

104

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect

Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

105

PREDICTIVE MODELS. Enhanced Oil Recovery Model  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding; 2 carbon dioxide miscible flooding; 3 in-situ combustion; 4 polymer flooding; and 5 steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. [DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States)

1992-02-26T23:59:59.000Z

106

PNNL-Weather Research and Forecasting (WRF)-Chem Modeling in Mexico | Open  

Open Energy Info (EERE)

Weather Research and Forecasting (WRF)-Chem Modeling in Mexico Weather Research and Forecasting (WRF)-Chem Modeling in Mexico Jump to: navigation, search Name PNNL-Weather Research and Forecasting (WRF)-Chem Modeling in Mexico Agency/Company /Organization Pacific Northwest National Laboratory Sector Energy Topics Co-benefits assessment, - Environmental and Biodiversity, - Health, Background analysis Resource Type Publications Website http://www.pnl.gov/atmospheric Country Mexico UN Region Latin America and the Caribbean References PNNL-Weather Research and Forecasting (WRF)-Chem Modeling in Mexico[1] PNNL Publications on WRF-Chem modeling in Mexico include: Fast JD, M Shrivastava, RA Zaveri, and JC. Barnard. 2010. "Modeling particulates and direct radiative forcing from urban to synoptic scales downwind of Mexico City." Annual European Geosciences Union Assembly,

107

Multivariate Probabilistic Analysis and Predictability of Medium-Range Ensemble Weather Forecasts  

Science Journals Connector (OSTI)

Ensemble weather forecasting has been operational for two decades now. However, the related uncertainty analysis in terms of probabilistic postprocessing still focuses on single variables, grid points, or stations. Inevitable dependencies in space ...

Jessica Keune; Christian Ohlwein; Andreas Hense

2014-11-01T23:59:59.000Z

108

Using satellite and real-time weather data to predict maize production  

Science Journals Connector (OSTI)

...?Large-scale assessments of crop conditions prior to harvest are critical for providing early estimates of production. Satellite and weather information provide the opportunity for near real-...Zea mays...) pr...

M. J. Hayes; Wayne L. Decker

1998-09-01T23:59:59.000Z

109

Real-Time Track Prediction of Tropical Cyclones over the North Indian Ocean Using the ARW Model  

E-Print Network (OSTI)

Real-Time Track Prediction of Tropical Cyclones over the North Indian Ocean Using the ARW Model of Technology Bhubaneswar, Odisha, India A. ROUTRAY National Centre for Medium Range Weather Forecasting, Noida The performance of the Advanced Research version of the Weather Research and Forecasting (ARW) model in real

110

Modeling of atmospheric corrosion behavior of weathering steel in sulfur dioxide-polluted atmospheres  

SciTech Connect

Atmospheric corrosion resistance of carbon steel (CS) and high-phosphorus weathering steel (WS, Acr-Ten A) was compared after exposure for up to 6 years in Taiwan. In an industrial atmosphere, corrosion kinetics of WS after 3 years of exposure deviated from behavior predicted by the well-known bilogarithmic law. This deviation was simulated using a laboratory accelerated test under cyclic wet/dry conditions with addition of 1 ppm sulfur dioxide (SO{sub 2}). In-situ electrochemical impedance measurements also were carried out in a modified three-electrode cell covered by a thin electrolyte layer to investigate corrosion behavior of WS in SO{sub 2}-polluted environments. Three impedance models were proposed to explain the characteristic corrosion behavior of WS in various stages of exposure.

Wang, J.H.; Shih, H.C. [National Tsing Hua Univ., Hsinchu (Taiwan, Province of China). Dept. of Materials Science and Engineering; Wei, F.I. [China Steel Corp., Kaoshiung (Taiwan, Province of China)

1996-12-01T23:59:59.000Z

111

Using Weather Data and Climate Model Output in Economic Analyses of Climate Change  

SciTech Connect

Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces a set of weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and identifies ways to avoid these pitfalls. We first provide an introduction to weather data, including a summary of the types of datasets available, and then discuss five common pitfalls that empirical researchers should be aware of when using historical weather data as explanatory variables in econometric applications. We then provide a brief overview of climate models and discuss two common and significant errors often made by economists when climate model output is used to simulate the future impacts of climate change on an economic outcome of interest.

Auffhammer, Maximilian [University of California at Berkeley; Hsiang, Solomon M. [Princeton University; Schlenker, Wolfram [Columbia University; Sobel, Adam H. [Columbia University

2013-06-28T23:59:59.000Z

112

Weather Radar and Hydrology (Proceedings of a symposium held in Exeter, UK, April 2011) (IAHS Publ. 3XX, 2011).  

E-Print Network (OSTI)

refractivity changes in Numerical Weather Prediction models could help improve the representation of near new data source for assimilation into Numerical Weather Prediction models, particularly with respect Weather Prediction J. C. NICOL1 , K. BARTHOLEMEW1 , T. DARLINGTON2 , A. J. ILLINGWORTH1 , & M. KITCHEN2 1

Reading, University of

113

SUMTIME-MOUSAM: Configurable Marine Weather Forecast Generator Somayajulu G. Sripada and Ehud Reiter  

E-Print Network (OSTI)

Weathernews (UK) Ltd. Aberdeen iand@wni.com Abstract Numerical weather prediction (NWP) models produce time is done using guidance from Numerical Weather Prediction (NWP) models; time series data from the NWPSUMTIME-MOUSAM: Configurable Marine Weather Forecast Generator Somayajulu G. Sripada and Ehud

Reiter, Ehud

114

Journal Article: Simplified Protein Models: Predicting Folding...  

Office of Scientific and Technical Information (OSTI)

Simplified Protein Models: Predicting Folding Pathways and Structure Using Amino Acid Sequences Citation Details Title: Simplified Protein Models: Predicting Folding Pathways and...

115

Climate-Weather Modeling Studies Using a Prototype Global Cloud-System  

NLE Websites -- All DOE Office Websites (Extended Search)

Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model PI Name: Venkatramani Balaji PI Email: balaji@princeton.edu Institution: Geophysical Fluid Dynamics Laboratory Allocation Program: ESP Allocation Hours at ALCF: 150 Million Year: 2010 to 2013 Research Domain: Earth Science We expect our understanding of the role of clouds in climate to undergo a qualitative change as the resolutions of global models begin to encompass clouds. At these resolutions, non-hydrostatic dynamics become significant and deep convective processes are resolved. We are poised at the threshold of being able to run global scale simulations that include direct, non-parameterized, simulations of deep convective clouds. The goal of this

116

Dynamical and Microphysical Evolution during Mixed-Phase Cloud Glaciation Simulated Using the Bulk Adaptive Habit Prediction Model  

Science Journals Connector (OSTI)

A bulk microphysics scheme predicting ice particle habit evolution has been implemented in the Weather Research and Forecasting Model. Large-eddy simulations are analyzed to study the effects of ice habit and number concentration on the bulk ice ...

Kara J. Sulia; Hugh Morrison; Jerry Y. Harrington

2014-11-01T23:59:59.000Z

117

Calibrating DOE-2 to Weather and Non-Weather-Dependent Loads for a Commercial Building: Data Processing Routines to Calibrate a DOE-2 Model, Volume II  

E-Print Network (OSTI)

ESL-TR-92-04/02 CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING, VOLUME 2: DATA PROCESSING ROUTINES TO CALIBRATE A DOE-2 MODEL Written by: John Douglas Bronson May 1992 (C) Copyright 1992 Texas Engineering... Plots 8 Temperature-Specific Humidity Carpet Plots 11 'PACKING' SITE MONITORED WEATHER DATA INTO TRY 16 APPENDIX A -- Data Processing Routines' Example Data Files and Routine Hard-copies 21 APPENDIX B -- Example Data Files and Progam Hard-copies to Pack...

Bronson, J. D.

1992-01-01T23:59:59.000Z

118

Model Predictive Control Wind Turbines  

E-Print Network (OSTI)

Model Predictive Control of Wind Turbines Martin Klauco Kongens Lyngby 2012 IMM-MSc-2012-65 #12;Summary Wind turbines are the biggest part of the green energy industry. Increasing interest control strategies. Control strategy has a significant impact on the wind turbine operation on many levels

119

PREDICTIVE MODELS. Enhanced Oil Recovery Model  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2 carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3 in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4 polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5 steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. [DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States)

1992-02-26T23:59:59.000Z

120

GPU Acceleration of Numerical Weather John Michalakes  

E-Print Network (OSTI)

GPU Acceleration of Numerical Weather Prediction John Michalakes National Center for Atmospheric parallelism will prove ineffective for many scenarios. We present an alternative method of scaling model Exponentially increasing processor power has fueled fifty years of continuous improvement in weather and climate

Colorado at Boulder, University of

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze van der Meulen  

E-Print Network (OSTI)

or assimilated into numerical weather prediction (NWP) models. Un- der the assumption of a linear wind field background statistics of the weather radar wind profiles against the Hirlam NWP model are at least as good of the VVP wind profiles against the Hirlam NWP model demonstrate the high quality of weather radar wind

Stoffelen, Ad

122

The temporal cascade structure of reanalyses and Global Circulation models  

E-Print Network (OSTI)

and stochastic forecasting. 1. Introduction "Weather prediction by Numerical Process" (Richardson, 1922 equations. While these equations are deterministic, numerical weather prediction has been increasingly of the deterministic models. Interestingly, Richardson is not only the father of numerical weather forecasting, he

Lovejoy, Shaun

123

Weather Data Gamification  

E-Print Network (OSTI)

. With the huge amount of weather data available, we have designed and developed a fantasy weather game. People manage a team of cities with the goal of predicting weather better than other players in their league, and in the process gain an understanding...

Gargate, Rohit

2013-07-25T23:59:59.000Z

124

Winter Weather Outlook  

NLE Websites -- All DOE Office Websites (Extended Search)

to predict exactly how these climate factors will affect the nation's winter weather extremes. Forecasters are expecting large temperature and precipitation swings across the...

125

Assessing the Capability of a Regional-Scale Weather Model to Simulate Extreme Precipitation Patterns and Flooding in Central Texas  

E-Print Network (OSTI)

Assessing the Capability of a Regional-Scale Weather Model to Simulate Extreme Precipitation Patterns and Flooding in Central Texas MARLA R. KNEBL LOWREY AND ZONG-LIANG YANG Department of Geological 3 March 2008) ABSTRACT A regional-scale weather model is used to determine the potential for flood

Yang, Zong-Liang

126

The calculation of climatically relevant singular vectors in the presence of weather  

E-Print Network (OSTI)

and Kleeman, 1996). As in numerical weather prediction, singular vectors have proven useful for predictability to the analysis of coupled general cir- culation models where the fastest growing modes are connected with weather to a relatively complete coupled general circulation model which has been shown to have skill in the prediction

Tang, Youmin

127

VALIDATION OF RAIN RATE RETRIEVALS FROM SEVIRI USING WEATHER RADAR OBSERVATIONS  

E-Print Network (OSTI)

and for improving parameterization cloud processes in numerical weather prediction (NWP) models or assimilation in these models. Although operational networks of Weather Radars are expanding over Europe and the United StatesVALIDATION OF RAIN RATE RETRIEVALS FROM SEVIRI USING WEATHER RADAR OBSERVATIONS R. A. Roebeling

Stoffelen, Ad

128

Transforming the sensing and numerical prediction of high-impact local weather through dynamic adaptation  

Science Journals Connector (OSTI)

...interfaces and local and remote computing...output stored on local and remote servers...particularly the WRF model system now...of temperature, wind and humidity in...maximum sustained wind speeds for selected...their own daily WRF forecasts from...benefits wrought by local models applied...

2009-01-01T23:59:59.000Z

129

Impact of Infrared, Microwave, and Radio Occultation Satellite Observations on Operational Numerical Weather Prediction  

Science Journals Connector (OSTI)

A comparison of the impact of infrared (IR), microwave (MW), and radio occultation (RO) observations on NCEPs operational global forecast model over the month of March 2013 is presented. Analyses and forecasts with only IR, MW, and RO ...

L. Cucurull; R. A. Anthes

2014-11-01T23:59:59.000Z

130

Atmospheric corrosion data of weathering steels. A review  

Science Journals Connector (OSTI)

Abstract Extensive information on the atmospheric corrosion of weathering steel has been published in the scientific literature. The contribution of the present work is to provide a bibliographic review of the reported information, which mostly concerns the weathering steel ASTM A-242. This review addresses issues such as rust layer stabilisation times, steady-state steel corrosion rates, and situations where the use of unpainted weathering steel is feasible. It also analyses the effect of exposure conditions. Finally it approaches the important matter of predicting the long-term behaviour of weathering steel reviewing the different prediction models published in the literature.

M. Morcillo; B. Chico; I. Daz; H. Cano; D. de la Fuente

2013-01-01T23:59:59.000Z

131

semble Prediction Lizzie S. R. Froude1  

E-Print Network (OSTI)

by numerical weather prediction (NWP). Operational NWP models are based on a set of equations known for Medium Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction (NCEP will grow rapidly, resulting in a total loss of predictability at higher forecast times. Today's models

Froude, Lizzie

132

Resolved Turbulence Characteristics in Large-Eddy Simulations Nested within Mesoscale Simulations Using the Weather Research and Forecasting Model  

Science Journals Connector (OSTI)

One-way concurrent nesting within the Weather Research and Forecasting Model (WRF) is examined for conducting large-eddy simulations (LES) nested within mesoscale simulations. Wind speed, spectra, and resolved turbulent stresses and turbulence ...

Jeff Mirocha; Branko Kosovi?; Gokhan Kirkil

2014-02-01T23:59:59.000Z

133

Introduction An important goal in operational weather forecasting  

E-Print Network (OSTI)

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a priori102 Introduction An important goal in operational weather forecasting is to reduce the number

Haak, Hein

134

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model  

SciTech Connect

A principal goal of the Atmospheric Radiation Measurement (ARM) Program is to understand the 3D cloud-radiation problem from scales ranging from the local to the size of global climate model (GCM) grid squares. For climate models using typical cloud overlap schemes, 3D radiative effects are minimal for all but the most complicated cloud fields. However, with the introduction of ''superparameterization'' methods, where sub-grid cloud processes are accounted for by embedding high resolution 2D cloud system resolving models within a GCM grid cell, the impact of 3D radiative effects on the local scale becomes increasingly relevant (Randall et al. 2003). In a recent study, we examined this issue by comparing the heating rates produced from a 3D and 1D shortwave radiative transfer model for a variety of radar derived cloud fields (O'Hirok and Gautier 2005). As demonstrated in Figure 1, the heating rate differences for a large convective field can be significant where 3D effects produce areas o f intense local heating. This finding, however, does not address the more important question of whether 3D radiative effects can alter the dynamics and structure of a cloud field. To investigate that issue we have incorporated a 3D radiative transfer algorithm into the Weather Research and Forecasting (WRF) model. Here, we present very preliminary findings of a comparison between cloud fields generated from a high resolution non-hydrostatic mesoscale numerical weather model using 1D and 3D radiative transfer codes.

O'Hirok, W.; Ricchiazzi, P.; Gautier, C.

2005-03-18T23:59:59.000Z

135

Model accurately predicts directional borehole trajectory  

SciTech Connect

Theoretical investigations and field data analyses helped develop a new method of predicting the rate of inclination change in a deviated well bore to help reduce the frequency and magnitude of doglegs. Predicting borehole dogleg severity is one of the main problems in directional drilling. Predicting the tendency and magnitude of borehole deviation and comparing them to the planned well path makes it possible to improve bottom hole assembly (BHA) design and to reduce the number of correction runs. The application of adaptation models for predicting the rate of inclination change if measurement-while-drilling systems are used results in improved accuracy of prediction, and therefore a reduction in correction runs.

Mamedbekov, O.K. (Azerbaijan State Petroleum Academy, Baku (Azerbaijan))

1994-08-29T23:59:59.000Z

136

Including Ocean Model Uncertainties in Climate Predictions  

E-Print Network (OSTI)

Including Ocean Model Uncertainties in Climate Predictions Chris Brierley, Alan Thorpe, Mat Collins's to perform the integrations Currently uses a `slab' ocean #12;An Ocean Model Required to accurately model transient behaviour Will have its own uncertainties Requires even more computing power Create new models

Jones, Peter JS

137

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

towers water pumps thermal storage tank water supply water loop system weather low-level MPC Setpoints Solar

Ma, Yudong

2012-01-01T23:59:59.000Z

138

DOE Workshop; Pan-Gass Conference on the Representation of Atmospheric Processes in Weather and Climate Models  

SciTech Connect

This is the first meeting of the whole new GEWEX (Global Energy and Water Cycle Experiment) Atmospheric System Study (GASS) project that has been formed from the merger of the GEWEX Cloud System Study (GCSS) Project and the GEWEX Atmospheric Boundary Layer Studies (GABLS). As such, this meeting will play a major role in energizing GEWEX work in the area of atmospheric parameterizations of clouds, convection, stable boundary layers, and aerosol-cloud interactions for the numerical models used for weather and climate projections at both global and regional scales. The representation of these processes in models is crucial to GEWEX goals of improved prediction of the energy and water cycles at both weather and climate timescales. This proposal seeks funds to be used to cover incidental and travel expenses for U.S.-based graduate students and early career scientists (i.e., within 5 years of receiving their highest degree). We anticipate using DOE funding to support 5-10 people. We will advertise the availability of these funds by providing a box to check for interested participants on the online workshop registration form. We will also send a note to our participants' mailing lists reminding them that the funds are available and asking senior scientists to encourage their more junior colleagues to participate. All meeting participants are encouraged to submit abstracts for oral or poster presentations. The science organizing committee (see below) will base funding decisions on the relevance and quality of these abstracts, with preference given to under-represented populations (especially women and minorities) and to early career scientists being actively mentored at the meeting (e.g. students or postdocs attending the meeting with their advisor).

Morrison, PI Hugh

2012-09-21T23:59:59.000Z

139

Predictive Models of Forest Dynamics  

Science Journals Connector (OSTI)

...currently highly uncertain (Fig. 1), making vegetation dynamics one of the largest sources of uncertainty in Earth system models. Reducing this uncertainty requires work on several fronts. For example, physiological parameters need to be...

Drew Purves; Stephen Pacala

2008-06-13T23:59:59.000Z

140

ASSESSMENT OF ECONOMIC PERFORMANCE OF MODEL PREDICTIVE  

E-Print Network (OSTI)

ASSESSMENT OF ECONOMIC PERFORMANCE OF MODEL PREDICTIVE CONTROL THROUGH VARIANCE/CONSTRAINT TUNING advanced process control (APC) strategies to deal with multivariable constrained control problems with an ultimate objective towards economic optimization. Any attempt to evaluate MPC performance should therefore

Huang, Biao

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Landslide Prediction Based on Neural Network Modelling  

Science Journals Connector (OSTI)

The opportunities of artificial neural networks model application to landslide forecasting are considered, namely prediction of landslide types and parameters of landslide damage area. The data collected by ob...

Yuri Aleshin; Isakbek Torgoev

2013-01-01T23:59:59.000Z

142

Stimulation Prediction Models | Open Energy Information  

Open Energy Info (EERE)

Stimulation Prediction Models Stimulation Prediction Models Jump to: navigation, search Geothermal ARRA Funded Projects for Stimulation Prediction Models Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":200,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026 further results","default":"","geoservice":"google","zoom":false,"width":"600px","height":"350px","centre":false,"layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","icon":"","visitedicon":"","forceshow":true,"showtitle":true,"hidenamespace":false,"template":false,"title":"","label":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"locations":[{"text":"

143

Weatherization and Intergovernmental Program: Weatherization Assistance  

NLE Websites -- All DOE Office Websites (Extended Search)

Weatherization Assistance Program to someone by E-mail Weatherization Assistance Program to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Assistance Program on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Assistance Program on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Assistance Program on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Assistance Program on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

144

CLIMAGE: A New Software for the Prediction of Short-Term Weather with the Help of Satellite Data and Neuro-Fuzzy Clustering  

Science Journals Connector (OSTI)

Weather is an essential part of decision making ... amenities of any region also depend on daily weather variations. That is why short-range weather forecasting has a direct impact on the ... capacity involved in...

Mrinmoy Majumder; Tilottama Chackraborty

2013-01-01T23:59:59.000Z

145

Implementation of a generalized actuator disk wind turbine model into the weather research and forecasting model for large-eddy simulation applications  

Science Journals Connector (OSTI)

A generalized actuator disk (GAD) wind turbine parameterization designed for large-eddy simulation (LES) applications was implemented into the Weather Research and Forecasting (WRF) model. WRF-LES with the GAD model enables numerical investigation of the effects of an operating wind turbine on and interactions with a broad range of atmospheric boundary layer phenomena. Numerical simulations using WRF-LES with the GAD model were compared with measurements obtained from the Turbine Wake and Inflow Characterization Study (TWICS-2011) the goal of which was to measure both the inflow to and wake from a 2.3-MW wind turbine. Data from a meteorological tower and two light-detection and ranging (lidar) systems one vertically profiling and another operated over a variety of scanning modes were utilized to obtain forcing for the simulations and to evaluate characteristics of the simulated wakes. Simulations produced wakes with physically consistent rotation and velocity deficits. Two surface heat flux values of 20?W m?2 and 100?W m?2 were used to examine the sensitivity of the simulated wakes to convective instability. Simulations using the smaller heat flux values showed good agreement with wake deficits observed during TWICS-2011 whereas those using the larger value showed enhanced spreading and more-rapid attenuation. This study demonstrates the utility of actuator models implemented within atmospheric LES to address a range of atmospheric science and engineering applications. Validated implementation of the GAD in a numerical weather prediction code such as WRF will enable a wide range of studies related to the interaction of wind turbines with the atmosphere and surface.

J. D. Mirocha; B. Kosovic; M. L. Aitken; J. K. Lundquist

2014-01-01T23:59:59.000Z

146

Residential Weatherization  

NLE Websites -- All DOE Office Websites (Extended Search)

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

147

The evolutionary development of roughness prediction models  

Science Journals Connector (OSTI)

The vigorous expansion of wind energy power generation over the last decade has also entailed innovative improvements to surface roughness prediction models applied to high-torque milling operations. Artificial neural networks are the most widely used ... Keywords: Dimensionality reduction, Genetic algorithm, High-torque milling, Surface roughness

Maciej Grzenda; Andres Bustillo

2013-05-01T23:59:59.000Z

148

Weatherization and Intergovernmental Program: Apply for Weatherization  

NLE Websites -- All DOE Office Websites (Extended Search)

Apply Apply for Weatherization Assistance to someone by E-mail Share Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Facebook Tweet about Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Twitter Bookmark Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Google Bookmark Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Delicious Rank Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Digg Find More places to share Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

149

Weatherization and Intergovernmental Program: Weatherization Services  

NLE Websites -- All DOE Office Websites (Extended Search)

Services to someone by E-mail Services to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Services on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Services on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Services on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Services on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Services on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Services on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services History Goals & Metrics Allocation Formula Apply for Weatherization Assistance WAP - Sustainable Energy Resources for Consumers Grants

150

Global Ensemble Predictions of 2009's Tropical Cyclones Initialized with an Ensemble Kalman Filter  

E-Print Network (OSTI)

to the general improvements in numerical weather prediction (NWP) models, such as increased resolution, improved) from two experimental global numerical weather prediction ensemble prediction systems (EPSs). The first model was a high-resolution version (T382L64) of the National Centers for Environmental Prediction (NCEP

Hamill, Tom

151

Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 201314 Solar Energy Prediction Contest  

Science Journals Connector (OSTI)

Abstract In 2013, American Meteorological Society Committees on AI (artificial intelligence) Applications organized a short-term solar energy prediction competition aiming at predicting total daily solar energy received at 98 solar farms based on the outputs of various weather patterns of a numerical weather prediction model. In this paper, a methodology to solve this problem has been explained and the performance of ordinary LSR (least-square regression), regularized LSR and ANN(artificial neural network) models has been compared. In order to improve the generalization capability of the models, more experiments like variable segmentation, subspace feature sampling and ensembling of models have been conducted. It is observed that model accuracy can be improved by proper selection of input data segments. Further improvements can be obtained by ensemble of forecasts of different models. It is observed that the performance of an ensemble of ANN and LSR models is the best among all the proposed models in this work. As far as the competition is concerned, Gradient Boosting Regression Tree has turned out to be the best algorithm. The proposed ensemble of ANN and LSR model is able to show a relative improvement of 7.63% and 39.99% as compared to benchmark Spline Interpolation and Gaussian Mixture Model respectively.

S.K. Aggarwal; L.M. Saini

2014-01-01T23:59:59.000Z

152

Suitability of the Weather Research and Forecasting (WRF) Model to Predict the June 2005 Fire Weather for Interior Alaska  

E-Print Network (OSTI)

temperature, and daily accumulated shortwave radiation well. Daily minimum (maximum) temperature and relative to local fire management authorities on the potential for wild- fires to plan prescribed burns, alert of fire control into fire indices that reflect protection require- ments. The National Fire Danger Rating

Moelders, Nicole

153

Grid-based modeling in "Wissensnetz Energiemeteorologie" Jan Ploski1  

E-Print Network (OSTI)

-Grid) for running numerical weather prediction models. Based on experience with our introductory implementation resources of the German Grid [3] for running NWP (Numerical Weather Prediction) models. This paper its prediction quality and on overcoming the technical challenges to establish numerical weather

Heinemann, Detlev

154

Climate analysis with satellite versus weather station data  

Science Journals Connector (OSTI)

This paper compares how well satellite versus weather station measurements of climate predict agricultural performance ... , India, and the United States. Although weather stations give accurate measures of groun...

Robert Mendelsohn; Pradeep Kurukulasuriya; Alan Basist; Felix Kogan

2007-03-01T23:59:59.000Z

155

MODELLING SURFACE HOAR FORMATION AND EVOLUTION ON MOUNTAIN SLOPES Simon Horton1  

E-Print Network (OSTI)

. Weather station data and forecasted data from the GEM15 numerical weather prediction model were used evaluates surface hoar size predictions made with empirical weather based models and discusses how buried and south facing slopes in the Columbia Mountains. Two models were developed to predict crystal size, one

Jamieson, Bruce

156

Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control  

E-Print Network (OSTI)

Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control Zhenwu Shi prediction of time-delays caused by real-time scheduling. Then, a model predictive controller is designed, the interaction between real-time scheduling and control design has received interest in the literature

Zhang, Fumin

157

Developing hourly weather data for locations having only daily weather data  

SciTech Connect

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

158

The Los Alamos dynamic radiation environment assimilation model (DREAM) for space weather specification and forecasting  

SciTech Connect

The Dynamic Radiation Environment Assimilation Model (DREAM) was developed at Los Alamos National Laboratory to assess, quantify, and predict the hazards from the natural space environment and the anthropogenic environment produced by high altitude nuclear explosions (HANE). DREAM was initially developed as a basic research activity to understand and predict the dynamics of the Earth's Van Allen radiation belts. It uses Kalman filter techniques to assimilate data from space environment instruments with a physics-based model of the radiation belts. DREAM can assimilate data from a variety of types of instruments and data with various levels of resolution and fidelity by assigning appropriate uncertainties to the observations. Data from any spacecraft orbit can be assimilated but DREAM was designed to function with as few as two spacecraft inputs: one from geosynchronous orbit and one from GPS orbit. With those inputs, DREAM can be used to predict the environment at any satellite in any orbit whether space environment data are available in those orbits or not. Even with very limited data input and relatively simple physics models, DREAM specifies the space environment in the radiation belts to a high level of accuracy. DREAM has been extensively tested and evaluated as we transition from research to operations. We report here on one set of test results in which we predict the environment in a highly-elliptical polar orbit. We also discuss long-duration reanalysis for spacecraft design, using DREAM for real-time operations, and prospects for 1-week forecasts of the radiation belt environment.

Reeves, Geoffrey D [Los Alamos National Laboratory; Friedel, Reiner H W [Los Alamos National Laboratory; Chen, Yue [Los Alamos National Laboratory; Koller, Josef [Los Alamos National Laboratory; Henderson, Michael G [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

159

Weatherization and Intergovernmental Program: Weatherization Innovation  

NLE Websites -- All DOE Office Websites (Extended Search)

Innovation Pilot Program to someone by E-mail Innovation Pilot Program to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program

160

Weatherization and Intergovernmental Program: Weatherization Assistance  

NLE Websites -- All DOE Office Websites (Extended Search)

Weatherization Assistance Program Allocation Formula to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Weatherization and Intergovernmental Program: National Weatherization  

NLE Websites -- All DOE Office Websites (Extended Search)

Information Resources Information Resources Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: National Weatherization Training Portal to someone by E-mail Share Weatherization and Intergovernmental Program: National Weatherization Training Portal on Facebook Tweet about Weatherization and Intergovernmental Program: National Weatherization Training Portal on Twitter Bookmark Weatherization and Intergovernmental Program: National Weatherization Training Portal on Google Bookmark Weatherization and Intergovernmental Program: National Weatherization Training Portal on Delicious Rank Weatherization and Intergovernmental Program: National Weatherization Training Portal on Digg Find More places to share Weatherization and Intergovernmental

162

Copula Based Stochastic Weather Generator as an Application for Crop Growth Models and Crop Insurance  

E-Print Network (OSTI)

Stochastic Weather Generators (SWG) try to reproduce the stochastic patterns of climatological variables characterized by high dimensionality, non-normal probability density functions and non-linear dependence relationships. However, conventional...

Juarez Torres, Miriam 77-

2012-08-31T23:59:59.000Z

163

Study of Climate Change Impact on Flood Frequencies: A Combined Weather Generator and Hydrological Modeling Approach  

Science Journals Connector (OSTI)

Climate change is expected to lead to more frequent and intensive flooding problems for watersheds in the south part of China. This study presented a coupled Long Ashton Research Station Weather Generator (LARS-WG) and Semidistributed Land Use...

X. S. Qin; Y. Lu

2014-06-01T23:59:59.000Z

164

Dynamic Algorithm for Space Weather Forecasting System  

E-Print Network (OSTI)

We propose to develop a dynamic algorithm that intelligently analyzes existing solar weather data and constructs an increasingly more accurate equation/algorithm for predicting solar weather accurately in real time. This dynamic algorithm analyzes a...

Fischer, Luke D.

2011-08-08T23:59:59.000Z

165

Improved forecasts of extreme weather events by future space borne Doppler wind lidar  

E-Print Network (OSTI)

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a prioriImproved forecasts of extreme weather events by future space borne Doppler wind lidar Gert

Marseille, Gert-Jan

166

Development and Validation of an Advanced Stimulation Prediction Model for  

Open Energy Info (EERE)

Validation of an Advanced Stimulation Prediction Model for Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems Project Type / Topic 1 Recovery Act: Enhanced Geothermal Systems Component Research and Development/Analysis Project Type / Topic 2 Stimulation Prediction Models Project Description The proposal is in response to DOE FOA DE-PS36-08GO99018/DE-FOA-0000075, specifically: the Topic Area: Stimulation Prediction Models - "To develop and validate models to predict a reservoir's response to stimulation and/or to quantitatively compare existing stimulation prediction models," and the Target Specification: "Development of stimulation prediction models capable of accurately predicting the location, spacing, orientation, and flow properties of created fractures."

167

MODEL ANALYSES AND GUIDANCE (MAG) APPLICATION MAG User's Manual  

E-Print Network (OSTI)

the National Weather Service's (NWS) Numerical Weather Prediction computer models. The website offers Guidance: Provides a path to view products created from the National Weather Service's (NWS) numerical Weather Service's Tropical Cyclone models. These products are only available when tropical cyclones

168

Global Ensemble Predictions of 2009's Tropical Cyclones Initialized with an Ensemble Kalman Filter  

E-Print Network (OSTI)

). In part, this can be attributed to the general improvements in numerical weather prediction (NWP) models summer tropical cyclones (TCs) from two experimental global numerical weather prediction ensemble prediction systems (EPSs). The first model was a highresolution version (T382L64) of the National Centers

Hamill, Tom

169

On the Predictive Uncertainty of a Distributed Hydrologic Model  

E-Print Network (OSTI)

We use models to simulate the real world mainly for prediction purposes. However, since any model is a simplification of reality, there remains a great deal of uncertainty even after the calibration of model parameters. The models identifiability...

Cho, Huidae

2009-05-15T23:59:59.000Z

170

Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF  

E-Print Network (OSTI)

, such as operational weather predictions models, pose challenges on the applicability of AD tools. We report- ational weather prediction models are much more complex, and the problem sizes tend to be much larger as a system for mesoscale and storm-scale numerical weather prediction as well as a wide range of idealized

Gao, Jidong

171

LLNL-TR-411072 A Predictive Model  

NLE Websites -- All DOE Office Websites (Extended Search)

072 072 A Predictive Model of Fragmentation using Adaptive Mesh Refinement and a Hierarchical Material Model A. E. Koniges, N. D. Masters, A. C. Fisher, R. W. Anderson, D. C. Eder, D. Benson, T. B. Kaiser, B. T. Gunney, P. Wang, B. R. Maddox, J. F. Hansen, D. H. Kalantar, P. Dixit, H. Jarmakani, M. A. Meyers March 5, 2009 -2- Disclaimer This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

172

ReseaRch at the University of Maryland Climate Modeling and Prediction  

E-Print Network (OSTI)

between the familiar seven-day weather forecast and the century-long global-warming projection, Maryland-Rabinovitz's work is leading to improved predictions of extreme weather events such as monsoons, intense storms-use patterns and their contribution to climate change. Ning Zeng investigates how ice sheets store carbon

Hill, Wendell T.

173

Weatherizing America  

Energy.gov (U.S. Department of Energy (DOE))

As Recovery Act money arrives to expand home weatherization programs across the country, Zachary Stewart of Phoenix, Ariz., and others have found an exciting opportunity not only to start working...

174

Improving WRF-ARW Wind Speed Predictions using Genetic Programming  

Science Journals Connector (OSTI)

Numerical weather prediction models can produce wind speed forecasts at a very high space resolution. ... that GP is able to successfully downscale the wind speed predictions, reducing significantly the inherent ...

Giovanna Martinez-Arellano; Lars Nolle

2012-01-01T23:59:59.000Z

175

Near quantitative agreement of model free DFT- MD predictions...  

NLE Websites -- All DOE Office Websites (Extended Search)

Near quantitative agreement of model free DFT- MD predictions with XAFS observations of the hydration structure of highly Near quantitative agreement of model free DFT- MD...

176

Reduced-order residential home modeling for model predictive control  

Science Journals Connector (OSTI)

Abstract Building simulation software packages such as EnergyPlus are useful energy modeling tools. These software packages, however, are often not amenable to model-based control due to model complexity or difficulties connecting control algorithms with the software. We present a method for automatically generating input/output data from an EnergyPlus residential home model using the OpenStudio software suite. These input/output data are used to create a simple reduced-order model that can be evaluated in fractions of a second. The reduced-order model is implemented in a model predictive controller to minimize the home's electricity costs during summer months in Austin, Texas, USA. The controller optimally precools the home in the morning and turns down or off the air conditioning system in the afternoon. For this example, electricity prices were taken from actual market prices in the Austin area. The optimal precooling strategy given by the model predictive controller reduces peak energy consumption from the air conditioning unit by an average of 70% and reduces operating costs by 60%. Precooling, however, consumes more total energy versus not precooling. Reducing peak energy consumption by 1kWh results, on average, in an increase of 0.63kWh in overall energy consumption.

Wesley J. Cole; Kody M. Powell; Elaine T. Hale; Thomas F. Edgar

2014-01-01T23:59:59.000Z

177

Coupled Climate and Earth System Models  

Science Journals Connector (OSTI)

We are all familiar with weather forecasts that predict the local weather for the next few days. These are made using a high-resolution numerical model of the atmosphere, and sometimes extend out as far as 10 ...

Peter R. Gent

2012-01-01T23:59:59.000Z

178

Analysing earthquake slip models with the spatial prediction comparison test  

Science Journals Connector (OSTI)

......slip models with the spatial prediction comparison test Ling Zhang 1 P. Martin Mai 1 Kiran K.S. Thingbaijam...performance of the spatial prediction comparison test (SPCT), a statistical test developed to compare spatial (random) fields by......

Ling Zhang; P. Martin Mai; Kiran K.S. Thingbaijam; Hoby N.T. Razafindrakoto; Marc G. Genton

2015-01-01T23:59:59.000Z

179

A soil moisture assimilation scheme using satellite-retrieved skin temperature in meso-scale weather forecast model  

Science Journals Connector (OSTI)

A thermodynamically consistent soil moisture assimilation scheme for clear sky and snow free conditions has been developed for the meso-scale modeling system in the Arctic region by using satellite-derived skin temperatures. Parallel control and sensitivity modeling experiments were designed and their results demonstrated that the assimilation scheme successfully improves the soil moistures that were deliberately perturbed initially, indicating capability of the scheme to correct bias in the soil moisture initialization. Moreover, the resultant benefit of this assimilation scheme does not only lie in the improvement of soil moisture; the skin temperature also consequently exhibits improvements in a thermodynamic consistency. A real application of the assimilation scheme with satellite-retrieved skin temperature exhibited noticeable positive impacts on the modeling simulation and weather forecast; the model obviously captured meso-scale features of soil moistures as well as the skin temperatures. The warming tendency bias in original model simulations was removed to a considerable extent by this assimilation scheme.

Jing Zhang; Xiangdong Zhang

2010-01-01T23:59:59.000Z

180

Introduction. Stochastic physics and climate modelling  

E-Print Network (OSTI)

become a backbone of numerical weather prediction and is used not only by weather forecasters but also. Stochastic physics schemes within weather and climate models have the potential to represent the dynamical history, the present era, whereby predictions are made from numerical solutions of the underlying dynamic

Williams, Paul

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Enhanced oil recovery data base analysis by simplified predictive models  

SciTech Connect

The U.S. Department of Energy, Bartlesville Energy Technology Center (BETC), has been developing computerized data bases and simplified predictive models to be used to predict enhanced oil recovery (EOR) potential in the U.S. The development phase of this work is nearing completion whereupon the models and data bases will be made available to the public. This paper describes the overall development phase for the models and data bases with analyses of selected EOR projects using the predictive models. Examples of model outputs are discussed and brief descriptions of the predictive algorithms are given.

Ray, R.M.; Wesson, T.C.

1982-11-01T23:59:59.000Z

182

Extreme events in solutions of hydrostatic and non-hydrostatic climate models  

E-Print Network (OSTI)

the assumptions made in applying them to operational numerical weather prediction (NWP), climate modelling-hydrostatic (NPE) primitive equations that have been used extensively in numerical weather prediction and climate weather, climate and global ocean circulation predictions for many decades. The HPE govern incompressible

Gibbon, J. D.

183

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

Learning Control for Thermal Energy Storage Systems. In:Predictive Control of Thermal Energy Storage in Buildingmaking use of building thermal energy storage, and this work

Ma, Yudong

2012-01-01T23:59:59.000Z

184

Wind Speed Prediction Via Time Series Modeling.  

E-Print Network (OSTI)

??Projected construction of nearby wind farms motivates this study of statistical forecasting of wind speed, for which accurate prediction is critically important to the fluid (more)

Alexander, Daniel

2009-01-01T23:59:59.000Z

185

Weatherized in May 2010  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

**Homes Weatherized in May 2010 (Recovery Act) Total Number of Homes Weatherized through May 2010 (Recovery Act) ***Total Number of Homes Weatherized Calendar Year 2009 - May 2010...

186

Distributed quantitative precipitation forecasts combining information from radar and numerical weather prediction model outputs  

E-Print Network (OSTI)

Applications of distributed Quantitative Precipitation Forecasts (QPF) range from flood forecasting to transportation. Obtaining QPF is acknowledged to be one of the most challenging areas in hydrology and meteorology. ...

Ganguly, Auroop Ratan

2002-01-01T23:59:59.000Z

187

Global precipitation retrieval algorithm trained for SSMIS using a numerical weather prediction model: Design and evaluation  

E-Print Network (OSTI)

This paper presents and evaluates a global precipitation retrieval algorithm for the Special Sensor Microwave Imager/Sounder (SSMIS). It is based on those developed earlier for the Advanced Microwave Sounding Unit (AMSU) ...

Surussavadee, Chinnawat

188

A high-resolution, cloud-assimilating numerical weather prediction model for solar irradiance forecasting  

E-Print Network (OSTI)

iscriticalforcoastalCaliforniasolarforecasting. affectingsolarirradianceinsouthernCalifornia. solar photovoltaicgeneration(thesouthernCalifornia

Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

2013-01-01T23:59:59.000Z

189

Examples of the Use of Satellite Data in Numerical Weather Prediction Models  

Science Journals Connector (OSTI)

One of the conclusions of the first phases of the Program for the Inter-comparison of Land surface Parameterization Schemes (PILPS) (Henderson-Sellers et al. 1997) is to demonstrate very clearly the positive i...

J. Noilhan; E. Bazile; J.-L. Champeaux

2000-01-01T23:59:59.000Z

190

Markovian Models for Electrical Load Prediction in Smart Buildings  

E-Print Network (OSTI)

Markovian Models for Electrical Load Prediction in Smart Buildings Muhammad Kumail Haider, Asad,13100004,ihsan.qazi}@lums.edu.pk Abstract. Developing energy consumption models for smart buildings is important develop parsimo- nious Markovian models of smart buildings for different periods in a day for predicting

California at Santa Barbara, University of

191

Modeling and Predicting Pointing Errors in Two Dimensions  

E-Print Network (OSTI)

to complement Fitts' law's predictive model of pointing speed. However, their model was based on one-dimensional time, error prediction, error rates. ACM Classification Keywords: H.5.2 [Information interfaces and presentation]: User interfaces ­ theory and methods; H.1.2 [Models and principles]: User/machine systems

Anderson, Richard

192

The NOAA National Operational Model Archive and Distribution System -NOMADS  

E-Print Network (OSTI)

for access to real-time and retrospective high volume numerical weather prediction and climate models been on weather and reanalysis. Plans to support climate models and associated observational data a unified climate and weather model archive providing format independent access to retrospective models

193

Building a Statistical Model toBuilding a Statistical Model to Predict Reactor TemperaturesPredict Reactor Temperatures  

E-Print Network (OSTI)

Building a Statistical Model toBuilding a Statistical Model to Predict Reactor Temperatures.scarrott@lancaster.ac.uk g.tunnicliffe-wilson@lancaster.ac.uk #12;OutlineOutline l Objectives l Data l Statistical Model l temperatures ­ Physical model ­ Statistical model l How to identify and model physical effects? l How to model

Scarrott, Carl

194

Economic and Distributed Model Predictive Control of Nonlinear Systems  

E-Print Network (OSTI)

R. Amrit. Optimizing process economic performance us- ing2 Economic Model Predictive Control of Nonlinear Processof MPC and economic optimization of processes (e.g. , [2,

Heidarinejad, Mohsen

2012-01-01T23:59:59.000Z

195

Tracking tropical cloud systems - Observations for the diagnosis of simulations by the Weather Research and Forecasting (WRF) Model  

SciTech Connect

To aid in improving model parameterizations of clouds and convection, we examine the capability of models, using explicit convection, to simulate the life cycle of tropical cloud systems in the vicinity of the ARM Tropical Western Pacific sites. The cloud life cycle is determined using a satellite cloud tracking algorithm (Boer and Ramanathan, 1997), and the statistics are compared to those of simulations using the Weather Research and Forecasting (WRF) Model. Using New York Blue, a Blue Gene/L supercomputer that is co-operated by Brookhaven and Stony Brook, simulations are run at a resolution comparable to the observations. Initial results suggest a computational paradox where, even though the size of the simulated systems are about half of that observed, their longevities are still similar. The explanation for this seeming incongruity will be explored.

Vogelmann, A.M.; Lin, W.; Cialella, A.; Luke, E.; Jensen, M.; Zhang, M.

2010-03-15T23:59:59.000Z

196

Tracking tropical cloud systems for the diagnosis of simulations by the weather research and forecasting (WRF) model  

SciTech Connect

To aid in improving model parameterizations of clouds and convection, we examine the capability of models, using explicit convection, to simulate the life cycle of tropical cloud systems in the tropical warm pool. The cloud life cycle is determined using a satellite cloud tracking algorithm (Boer and Ramanathan, J. Geophys. Res., 1997), and the statistics are compared to those of simulations using the Weather Research and Forecasting (WRF) Model. Using New York Blue, a Blue Gene/L supercomputer that is co-operated by Brookhaven and Stony Brook, simulations are run at a resolution comparable to the observations. Initial results suggest that the organization of the mesoscale convective systems is particularly sensitive to the cloud microphysics parameterization used.

Vogelmann, A.M.; Lin, W.; Cialella, A.; Luke, E. P.; Jensen, M. P.; Zhang, M. H.; Boer, E.

2010-06-27T23:59:59.000Z

197

Effects of vegetation and soil moisture on the simulated land surface processes from the coupled WRF/Noah model  

E-Print Network (OSTI)

simulations. Meso- scale models, which have been used not only for numerical weather prediction but also surface and atmosphere into numerical weather or climate prediction. This study describes coupled WRF [Chen et al., 1997; Pielke et al., 1997]. Numerical weather prediction with high spatial and tempo- ral

Small, Eric

198

Climate Prediction: The Limits of Ocean Models  

E-Print Network (OSTI)

We identify three major areas of ignorance which limit predictability in current ocean GCMs. One is the very crude representation of subgrid-scale mixing processes. These processes are parameterized with coefficients whose ...

Stone, Peter H.

199

Biodiesel Density: Experimental Measurements and Prediction Models  

Science Journals Connector (OSTI)

Density is an important biodiesel parameter, with impact on fuel quality. Predicting density is of high relevance for a correct formulation of an adequate blend of raw materials that optimize the cost of biodiesel fuel production while allowing the ...

Maria Jorge Pratas; Samuel V. D. Freitas; Mariana B. Oliveira; Slvia C. Monteiro; lvaro S. Lima; Joo A. P. Coutinho

2011-04-19T23:59:59.000Z

200

Weather Extremes  

NLE Websites -- All DOE Office Websites (Extended Search)

Extremes Extremes Nature Bulletin No. 45 December 15, 1945 Forest Preserve District of Cook County Clayton F. Smith, President Roberts Mann, Superintendent of Conservation WEATHER EXTREMES Chicago lies in a temperate zone. We are fortunate. The lowest temperature recorded here since the establishment of the Weather Bureau in 1870 was -- 23 F on Dec. 24, 1872. The lowest records elsewhere in the United States are--66 F at Riverside Ranger Station, Yellowstone Park, Wyoming, on Feb. 9, 1933; and -- 78 F at Fort Yukon, Alaska, on Jan. 14, 1934. The lowest record anywhere on earth is 90 F at Verkhoyansk, Siberia, Feb. 5 and 7, 1892. The greatest snowfall recorded in Chicago in one 24-hour period was 14.9 inches on Jan. 30, 1939; but 19.2 inches fell between 1:10 a.m. on March 24 and 8:33 p.m. on March 26, 1930.

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network (OSTI)

Lewis Poulin Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important... and weather information ? Numerical weather forecast production 101 ? From deterministic to probabilistic forecasts ? Some MSC weather forecast (NWP) datasets ? Finding the appropriate data for the appropriate forecast ? Preparing for probabilistic...

Poulin, L.

2013-01-01T23:59:59.000Z

202

predictive-models | netl.doe.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

are available. The five recovery processes modeled are Steamflood, In-Situ Combustion, Polymer, Chemical Flooding, and CO2 Miscible Flooding. The models are available...

203

Nonlinear Model Predictive Control of Municipal Solid Waste Combustion Plants  

E-Print Network (OSTI)

. Also, the energy that results from waste combustion is often used to produce heat and/or electricityNonlinear Model Predictive Control of Municipal Solid Waste Combustion Plants M. Leskens , R.h.Bosgra@tudelft.nl, p.m.j.vandenhof@tudelft.nl Keywords : nonlinear model predictive control, municipal solid waste

Van den Hof, Paul

204

Web Page Rank Prediction with Markov Models Michalis Vazirgiannis  

E-Print Network (OSTI)

Web Page Rank Prediction with Markov Models Michalis Vazirgiannis INRIA Futurs Orsay, France a method for predicting the rank- ing position of a Web page. Assuming a set of successive past top-k rankings, we study the evolution of Web pages in terms of ranking trend sequences used for Markov Models

Paris-Sud XI, Université de

205

Model Predictive Control of a Kaibel Distillation Column  

E-Print Network (OSTI)

Model Predictive Control of a Kaibel Distillation Column Martin Kvernland Ivar Halvorsen Sigurd (e-mail: skoge@ntnu.no) Abstract: This is a simulation study on controlling a Kaibel distillation column with model predictive control (MPC). A Kaibel distillation column has several advantages compared

Skogestad, Sigurd

206

Standard Model Predictions for the Muon $(g-2)/2$  

E-Print Network (OSTI)

The current status of the Standard Model predictions for the muon anomalous magnetic moment is described. Various contributions expected in the Standard Model are discussed. After the reevaluation of the leading-order hadronic term based on the new \\ep data, the theoretical prediction is more than three standard deviations lower than the experimental value.

S. I. Eidelman

2009-04-21T23:59:59.000Z

207

ARM - Field Campaign - Single Column Model IOP  

NLE Websites -- All DOE Office Websites (Extended Search)

applications: 1. Routine measurement of atmospheric state for assimilation into numerical weather prediction (NWP) model analyses. This would substantially improve the analyses and...

208

Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework  

E-Print Network (OSTI)

by incorporating output from an ensemble of storm scale numerical weather prediction models into a spatiotemporal within higher resolution numerical models can explicitly predict the size distributions of graupel, which relational data mining model that would produce probabilistic predictions of severe hail. The spatiotemporal

McGovern, Amy

209

Cancer growth: Predictions of a realistic model  

Science Journals Connector (OSTI)

Simulations of avascular cancer growth are performed using experimental values of the relevant parameters. This permits a realistic assessment of the influence of these parameters on cancer growth dynamics. In general, an early exponential growth phase is followed by a linear regime (as observed in recent experiments), while the thickness of the viable cell layer remains approximately constant. Contrary to some predictions, a transition to latency is not observed.

S. A. Menchn and C. A. Condat

2008-08-08T23:59:59.000Z

210

Analysis of the singular vectors of the full-physics FSU Global Spectral Model  

E-Print Network (OSTI)

for the numerical weather prediction models has been the subject of numerous studies. For the barotropic atmosphere-growth estimation in numerical weather prediction and atmospheric predictability (Molteni and Palmer, 1993 predictability of an idealized model. However, singular vector analysis was carried out for the realistic meteo

Aluffi, Paolo

211

The integration of a geographic information system with a model predicting the life cycle of the pecan nut casebearer  

E-Print Network (OSTI)

vulnerable to insecticide treatment. The model, in its original form, is only applicable at the locations of weather stations from which the data for the model were acquired. The Texas Agricultural Extension Service integrated a geographic information... day model in its present form, however, is only applicable for the weather stations at which the weather data were collected. Users of the PNC degree day model are required to determine their geographical position and calculate the degree day based...

Redding, Robert W

2012-06-07T23:59:59.000Z

212

Another step to the full GPU implementation of the weather research and forecasting model  

Science Journals Connector (OSTI)

Uruguay is currently undergoing a gradual process of inclusion of wind energy in its matrix of electric power generation. In this context, a computational tool has been developed to predict the electrical power that will be injected into the grid. The ... Keywords: GPU, WRF, Wind power, bdy_interp1 routine, sintb routine

Juan Pablo Silva, Jos Hagopian, Marcel Burdiat, Ernesto Dufrechou, Martn Pedemonte, Alejandro Gutirrez, Gabriel Cazes, Pablo Ezzatti

2014-11-01T23:59:59.000Z

213

MIT Emissions Prediction and Policy Analysis (EPPA) Model | Open Energy  

Open Energy Info (EERE)

MIT Emissions Prediction and Policy Analysis (EPPA) Model MIT Emissions Prediction and Policy Analysis (EPPA) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: MIT Emissions Prediction and Policy Analysis (EPPA) Model Agency/Company /Organization: Massachusetts Institute of Technology (MIT) Topics: Analysis Tools Complexity/Ease of Use: Not Available Website: dspace.mit.edu/handle/1721.1/29790 Cost: Free Related Tools IGES GHG Calculator For Solid Waste Energy and Power Evaluation Program (ENPEP) Regional Economic Models, Inc. (REMI) Model ... further results The part of the MIT Integrated Global Systems Model (IGSM) that represents human systems; a recursive-dynamic multi-regional general equilibrium model

214

A predictive ocean oil spill model  

SciTech Connect

This is the final report of a two-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). Initially, the project focused on creating an ocean oil spill model and working with the major oil companies to compare their data with the Los Alamos global ocean model. As a result of this initial effort, Los Alamos worked closely with the Eddy Joint Industry Project (EJIP), a consortium oil and gas producing companies in the US. The central theme of the project was to use output produced from LANL`s global ocean model to look in detail at ocean currents in selected geographic areas of the world of interest to consortium members. Once ocean currents are well understood this information could be used to create oil spill models, improve offshore exploration and drilling equipment, and aid in the design of semi-permanent offshore production platforms.

Sanderson, J.; Barnette, D. [Sandia National Labs., Albuquerque, NM (United States); Papodopoulos, P. [Oak Ridge National Lab., TN (United States); Schaudt, K. [Marathon Oil Co., Littleton, CO (United States); Szabo, D. [Mobil Research and Development Corp., Dallas, TX (United States)

1996-07-01T23:59:59.000Z

215

Conformal Higgs model: predicted dark energy density  

E-Print Network (OSTI)

Postulated universal Weyl conformal scaling symmetry provides an alternative to the $\\Lambda$CDM paradigm for cosmology. Recent applications to galactic rotation velocities, Hubble expansion, and a model of dark galactic halos explain qualitative phenomena and fit observed data without invoking dark matter. Significant revision of theory relevant to galactic collisions and clusters is implied, but not yet tested. Dark energy is found to be a consequence of conformal symmetry for the Higgs scalar field of electroweak physics. The present paper tests this implication. The conformal Higgs model acquires a gravitational effect described by a modified Friedmann cosmic evolution equation, shown to fit cosmological data going back to the cosmic microwave background epoch. The tachyonic mass parameter of the Higgs model becomes dark energy in the Friedmann equation. A dynamical model of this parameter, analogous to the Higgs mechanism for gauge boson mass, is derived and tested here. An approximate calculation yields a result consistent with the empirical magnitude inferred from Hubble expansion.

R. K. Nesbet

2014-11-03T23:59:59.000Z

216

Evaluation of WRF-Predicted Near-Hub-Height Winds and Ramp Events over a Pacific Northwest Site with Complex Terrain  

Science Journals Connector (OSTI)

One challenge with wind-power forecasts is the accurate prediction of rapid changes in wind speed (ramps). To evaluate the Weather Research and Forecasting (WRF) model's ability to predict such events, model simulations, conducted over an area of ...

Qing Yang; Larry K. Berg; Mikhail Pekour; Jerome D. Fast; Rob K. Newsom; Mark Stoelinga; Catherine Finley

2013-08-01T23:59:59.000Z

217

Global Warming and Extreme Weather  

NLE Websites -- All DOE Office Websites (Extended Search)

Global Warming and Extreme Weather Global Warming and Extreme Weather Speaker(s): Michael Wehner Date: November 28, 2006 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Surabi Menon Extreme weather events can have serious impacts on human and ecological systems. Changes in the magnitude and frequency of extreme weather associated with changes in the mean climate are likely the most serious consequence of human induced global warming. Understanding what the future portends is vital if society hopes to adapt to the very different world that awaits. In this talk, we will exploit simple extreme value theory to make predictions about the late 21st century climate. Current work on the relationship between global warming and the hurricane cycle will also be presented. The bottom line is that events that are considered rare today

218

Generalized Additive Models versus Linear Regression in Generating Probabilistic MOS Forecasts of Aviation Weather Parameters  

Science Journals Connector (OSTI)

The skill of probabilistic Model Output Statistics forecasts generated from Generalized Additive Models (GAM) is compared to that of traditional multiple linear regression techniques. Unlike linear regression, where each predictor term in the ...

Robert L. Vislocky; J. Michael Fritsch

1995-12-01T23:59:59.000Z

219

Using a Business Process Model as a Central Organizing Construct for an Undergraduate Weather Forecasting Course  

Science Journals Connector (OSTI)

For the last five years, the author has employed a business process model as a central organizing construct for the senior-level Forecasting Techniques course at Embry- Riddle Aeronautical University's Daytona Beach, Florida, campus. The process model ...

John M. Lanicci

2012-05-01T23:59:59.000Z

220

Productivity prediction model based on Bayesian analysis and productivity console  

E-Print Network (OSTI)

in poor planning and defies effective control of time and budgets in project management. In this research, we have built a productivity prediction model which uses productivity data from an ongoing project to reevaluate the initial productivity estimate...

Yun, Seok Jun

2005-08-29T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Interactive software for model predictive control with simultaneous identification  

E-Print Network (OSTI)

This thesis is a unified practical framework in the theory of Model Predictive Control with Simultaneous Identification. The ability to change and visualize parameters on-line makes this toolbox attractive for control engineers, and for anyone...

Echeverria Del Rio, Pablo

2000-01-01T23:59:59.000Z

222

Model predictive torque control of a Switched Reluctance Motor  

Science Journals Connector (OSTI)

The strongly nonlinear magnetic characteristic of Switched Reluctance Motors (SRMs) makes their torque control a challenging task. In contrast to standard current-based control schemes, we use Model Predictive Control (MPC) and directly manipulate the ...

Helfried Peyrl; Georgios Papafotiou; Manfred Morari

2009-02-01T23:59:59.000Z

223

Standard Model Prediction of the Muon Anomalous Magnetic Moment  

E-Print Network (OSTI)

I review the present Standard Model prediction of the muon anomalous magnetic moment. The discrepancy with its experimental determination is (25.5 +- 8.0) x 10^-10, i.e., 3.2 standard deviations.

Joaquim Prades

2010-02-18T23:59:59.000Z

224

Hospital Readmission in General Medicine Patients: A Prediction Model  

E-Print Network (OSTI)

J Med. 1985;313: JGIM Hasan et al. : Hospital ReadmissionA Prediction Model Omar Hasan, MBBS, MPH 1,2 , David O.online December 15, 2009 Hasan et al. : Hospital Readmission

2010-01-01T23:59:59.000Z

225

NETL: IEP - Air Quality Research: Predictive Modeling and Evaluation  

NLE Websites -- All DOE Office Websites (Extended Search)

Predictive Modeling and Evaluation Predictive Modeling and Evaluation Predictive Modeling and Evaluation Map Click on a Project Name to Get More Information It is likely that most or all State Implementation Plans pertaining to PM2.5 will be developed with the aid of some type of atmospheric modeling to predict the reductions in PM2.5 attainable via reductions in power plant emissions. The accuracy of such predictions depends on how accurately the models represent the actual emissions and atmospheric chemistry/transport phenomena. Modeling studies supported by the NETL fine PM program include: (1) receptor-based (source apportionment) modeling pertinent to electric power sources; (2) model evaluation using ambient PM mass measurements; (3) methods for estimating the lifetime and transport distances of primary and secondary PM; (4) quantifying the relationships between PM (nitric acid and sulfate) and NOx and SO2 emissions in the modeling domain; and (5) quantifying the contribution of primary and secondary organic aerosol emissions from power sources to observed organic PM.

226

In silico modeling to predict drug-induced phospholipidosis  

SciTech Connect

Drug-induced phospholipidosis (DIPL) is a preclinical finding during pharmaceutical drug development that has implications on the course of drug development and regulatory safety review. A principal characteristic of drugs inducing DIPL is known to be a cationic amphiphilic structure. This provides evidence for a structure-based explanation and opportunity to analyze properties and structures of drugs with the histopathologic findings for DIPL. In previous work from the FDA, in silico quantitative structureactivity relationship (QSAR) modeling using machine learning approaches has shown promise with a large dataset of drugs but included unconfirmed data as well. In this study, we report the construction and validation of a battery of complementary in silico QSAR models using the FDA's updated database on phospholipidosis, new algorithms and predictive technologies, and in particular, we address high performance with a high-confidence dataset. The results of our modeling for DIPL include rigorous external validation tests showing 8081% concordance. Furthermore, the predictive performance characteristics include models with high sensitivity and specificity, in most cases above ? 80% leading to desired high negative and positive predictivity. These models are intended to be utilized for regulatory toxicology applied science needs in screening new drugs for DIPL. - Highlights: New in silico models for predicting drug-induced phospholipidosis (DIPL) are described. The training set data in the models is derived from the FDA's phospholipidosis database. We find excellent predictivity values of the models based on external validation. The models can support drug screening and regulatory decision-making on DIPL.

Choi, Sydney S.; Kim, Jae S.; Valerio, Luis G., E-mail: luis.valerio@fda.hhs.gov; Sadrieh, Nakissa

2013-06-01T23:59:59.000Z

227

ZHANG, XUEJIN. Adapting the Weather Research and Forecasting Model for the Simulation of Regional Climate in East Africa. (Under the direction of Dr. Lian Xie).  

E-Print Network (OSTI)

and society for regional climate information. The current Weather Research and Forecasting (WRF) RCM inherits several advantages of the original WRF model. For example, (1) it can be used for multiple scale infrastructure to distinguish the scientific problems from engineering problems. In order to adapt WRF for long

Liu, Paul

228

Evaluating Single Column Models using an ensemble approach  

NLE Websites -- All DOE Office Websites (Extended Search)

a valuable tool for evaluating and improving parameterizations for climate and Numerical Weather Prediction (NWP) models. Their drawback is that they can usually only be applied...

229

Predictive clothing insulation model based on outdoor air and indoor operative temperatures  

E-Print Network (OSTI)

2012) Predictive clothing insulation model based on outdoorPredictive clothing insulation model based on outdoor airpredictive models of clothing insulation have been developed

Schiavon, Stefano; Lee, Kwang Ho

2012-01-01T23:59:59.000Z

230

Carbon-cycle models for better long-term predictions | EMSL  

NLE Websites -- All DOE Office Websites (Extended Search)

Carbon-cycle models for better long-term predictions Carbon-cycle models for better long-term predictions Reduced variation among models should improve precision Improved...

231

Large eddy simulation of wind turbine wake dynamics in the stable boundary layer using the Weather Research and Forecasting Model  

Science Journals Connector (OSTI)

Recently an actuator disk parameterization was implemented in the Weather Research and Forecasting (WRF) Model for large eddy simulation (LES) of wind turbine wakes. To thoroughly verify this model simulations of various types of turbines and atmospheric conditions must be evaluated against corresponding experimental data. In this work numerical simulations are compared to nacelle-based scanning lidar measurements taken in stable atmospheric conditions during a field campaign conducted at a wind farm in the western United States. Using several wake characteristicssuch as the velocity deficit centerline location and wake widthas metrics for model verification the simulations show good agreement with the observations. Notable results include a high average velocity deficit decreasing from 73% at a downwind distance x of 1.2 rotor diameters (D) to 25% at x?=?6.6D resulting from a low average wind speed and therefore high average turbine thrust coefficient. Moreover the wake width expands from 1.4D at x?=?1.2D to 2.3D at x?=?6.6D. Finally new featuresnamely rotor tilt and drag from the nacelle and towerare added to the existing actuator disk model in WRF-LES. Compared to the rotor the effect of the tower and nacelle on the flow is relatively small but nevertheless important for an accurate representation of the entire turbine. Adding rotor tilt to the model causes the vertical location of the wake center to shift upward. Continued advancement of the actuator disk model in WRF-LES will help lead to optimized turbine siting and controls at wind farms.

Matthew L. Aitken; Branko Kosovi?; Jeffrey D. Mirocha; Julie K. Lundquist

2014-01-01T23:59:59.000Z

232

Day-Ahead Predictability of Complex Terrain Flows for Wind Resource Production: A Case Study of the Washoe Zephyr  

Science Journals Connector (OSTI)

A detailed description of the meteorological conditions of the Washoe Valley (Nevada) and simulations that examine the predictability of the westerly high wind event known as the Washoe Zephyr are presented. Numerical weather model prediction ...

Craig M. Smith; Darko Kora?in; Kristian Horvath

2014-12-01T23:59:59.000Z

233

Cathy Zoi on Weatherization  

SciTech Connect

Right now, the Weatherization Assistance Program is now weatherizing 25,000 homes each month. So far 10,000 jobs have been created under the Recovery Act.

Zoi, Cath

2010-01-01T23:59:59.000Z

234

Weatherization Pilot Projects  

Energy.gov (U.S. Department of Energy (DOE))

Webinars, fact sheets, and other information on Weatherization Assistance Program's Sustainable Energy Resources for Consumers and Weatherization Innovation Pilot Program projects.

235

A critical evaluation of the use of the profile model in calculating mineral weathering rates  

Science Journals Connector (OSTI)

The PROFILE model is used extensively in the European Critical Loads programme as an aid to international negotiations on SO2 emission abatement. PROFILE calculates the rates of cation release by mineral weatheri...

Mark E. Hodson; Simon J. Langan; M. Jeff Wilson

1997-08-01T23:59:59.000Z

236

a critical evaluation of the use of the PROFILE model in calculating mineral weathering rates  

Science Journals Connector (OSTI)

The PROFILE model is used extensively in the European Critical Loads programme as an aid to international negotiations on SO2 emission abatement. PROFILE calculates the rates of cation release by mineral weatheri...

MARK E. HODSON; SIMON J. LANGAN; M. JEFF WILSON

1997-08-01T23:59:59.000Z

237

Application of Grossberg and Mingolla Neural Vision Model to Satellite Weather Imagery  

Science Journals Connector (OSTI)

Recent neural models of natural vision systems are defined in sufficiently concrete terms as to be immediately applicable to practical image processing tasks. In particular the Boundary Contour System and Feature...

Steve Lehar; Tim Howells; Ira Smotroff

1990-01-01T23:59:59.000Z

238

The Isospin Model prediction for multi-pion tau decays  

E-Print Network (OSTI)

The predictions of an isospin model are compared with the branching ratios of the 5 and 6 pion decays of the tau lepton. In both cases, the isospin model suggests that the tau favours decays in which there is an omega resonance. Recent measurements of such tau decays confirm this hypothesis. If the decay of the tau to 7 pions also proceeds through an intermediate omega, then the isospin model predicts that the branching ratio of the tau to seven charged pions should be small when compared with other 7 pion decays. New limits on this mode appear to support this argument.

Randall J. Sobie

1998-10-19T23:59:59.000Z

239

Penetration rate prediction for percussive drilling via dry friction model  

E-Print Network (OSTI)

Penetration rate prediction for percussive drilling via dry friction model Anton M. Krivtsov a. Similarly, an increased weight on bit in downhole drilling does not improve the penetration rates when hard- tration rate is presented. The inherent nonlinearity of the discontinuous impact process is modelled

Krivtsov, Anton M.

240

A NEW MODEL FOR PERFORMANCE PREDICTION OF HARD ROCK TBMS.  

E-Print Network (OSTI)

methods to accu- rately predict the penetration rate of a TBM in a given geology. These models are mainly, and the penetration rate. A good example of this is the Norwegian (NTH) hard rock diagnostic system and predictor penetration rate. This group of models 1.ResearchAssociakandGraduacStudentinMiningErrg.Dept. 2.Directorof

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Development of Chemical Model to Predict the Interactions between  

Open Energy Info (EERE)

Model to Predict the Interactions between Model to Predict the Interactions between Supercritical CO2 and Fluid, Rocks in EGS Reservoirs Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Development of Chemical Model to Predict the Interactions between Supercritical CO2 and Fluid, Rocks in EGS Reservoirs Project Type / Topic 1 Recovery Act: Enhanced Geothermal Systems Component Research and Development/Analysis Project Type / Topic 2 Supercritical Carbon Dioxide / Reservoir Rock Chemical Interactions Project Description In order to develop this model, databases will be assembled and/or updated for thermodynamic and kinetic rate laws for water/brine/rock/CO2 interactions at the pressures and temperatures common to EGS systems. In addition to a literature search, extrapolation of existing data and experimental laboratory work will be conducted to calibrate and verify the datasets.

242

Development of an Ocean Model Adjoint for Decadal Prediction | Argonne  

NLE Websites -- All DOE Office Websites (Extended Search)

Development of an Ocean Model Adjoint for Decadal Prediction Development of an Ocean Model Adjoint for Decadal Prediction Development of an Ocean Model Adjoint for Decadal Prediction This project will develop an adjoint of the Parallel Ocean Program (POP; version 2.0.1) using automatic differentiation (AD) techniques. We have already had success with AD on sea ice models and will use this knowledge with POP. It is now unequivocal that the Earth's climate system is warming. The most recent IPCC assessment concludes that the increased temperatures in the latter 20th century are very likely due to anthropogenic greenhouse gases, and continued greenhouse emissions will likely result in even larger increases during the 21st century. Even if controls could be put on greenhouse emissions immediately, there is still some climate change that

243

Parallelization Strategies for the GPS Radio Occultation Data Assimilation with a Nonlocal Operator in the Weather Research and Forecasting Model  

Science Journals Connector (OSTI)

The nonlocal excess phase observation operator for assimilating the global positioning system (GPS) radio occultation (RO) sounding data has been proven by some research papers to produce significantly better analyses for numerical weather ...

Xin Zhang; Ying-Hwa Kuo; Shu-Ya Chen; Xiang-Yu Huang; Ling-Feng Hsiao

2014-09-01T23:59:59.000Z

244

Space Weather  

E-Print Network (OSTI)

magnetic field that enshrouds Earth is subject to a continuing low dose of galactic cosmic radiation. The best available estimates predict that exposure to such radiation for as little as a year may-inducing radiation in space. Eugene N. Parker 18 August 2005 Any space traveler far removed from the protective

Shepherd, Simon

245

Weatherization and Intergovernmental Activities  

Office of Energy Efficiency and Renewable Energy (EERE)

Weatherization and Intergovernmental Activities Annual Performance Results and Targets FY 2008 Congressional Budget

246

Integration of an Aggregate Flow Model with a Traffic Flow Simulator  

E-Print Network (OSTI)

Evaluation Tool (FACET). Using delay predictions, system metrics, and a visualization of the aggregated) solutions for weather disturbances. I. Introduction A. The Need for System Modeling. TFM initiatives

247

Weather Forecasts Slowly Clearing Up  

Science Journals Connector (OSTI)

...Computer models fed by automated observing stations...produced more realistic simulations of the weather and thus...NWS's Environmental Modeling Center in College Park, Maryland...landfall, though ECMWF modeling gave an inkling a whopping...equations of motion allow rapid vertical acceleration...

Richard A. Kerr

2012-11-09T23:59:59.000Z

248

Weatherization and Intergovernmental Program: History of the Weatherization  

NLE Websites -- All DOE Office Websites (Extended Search)

History History of the Weatherization Assistance Program to someone by E-mail Share Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Facebook Tweet about Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Twitter Bookmark Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Google Bookmark Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Delicious Rank Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Digg Find More places to share Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on AddThis.com...

249

Shadow prediction model for the International Space Station Alpha  

SciTech Connect

A Fortran computer model, SHADOW5, was developed to predict shadows on the solar arrays of the International Space Station Alpha (ISSA) for general flight modes. This shadow model was incorporated into the EPSOP-F (Electrical Power System On-Orbit Performance) program to conduct ISSA power analyses for various operating conditions. This paper describes the mathematical methods of the model and shows the typical results predicted with the model. Vector analyses with coordinate transformations were used to trace the shadows between the potential shadowing and shadowed components of the station during the sun portion of the orbit. Including the space shuttle orbiter, 40 components were modeled. The basic shapes of the components were assumed to be either planar or cylindrical. The elemental areas obtained from the Cartesian grid lines allocated on the component surfaces were projected in the sun vector direction to reconstruct shadows on the shadowed planar surface. Comparison of predicted results with other models showed good agreement. Ease of preparing input data and relatively short CPU time make this model suitable for shadow analyses required for the many design and flight configurations of the space station.

Chung, D.K. [Rockwell International, Canoga Park, CA (United States). Rocketdyne Division

1995-12-31T23:59:59.000Z

250

Data Assimilation in Weather Forecasting: A Case Study in PDE ...  

E-Print Network (OSTI)

Variational data assimilation is used at major weather prediction centers to .... the globe, tending to be clustered on satellite paths and densely populated areas.

251

Predicting mesh density for adaptive modelling of the global atmosphere  

Science Journals Connector (OSTI)

...under investigation for atmospheric modelling for some time...atmosphere, using the shallow water equations-a necessary...to solve the shallow water equations on fixed meshes...discussed in 3. The mesh generator and the predictive adaptive...Solving the shallow water equations on polygons...

2009-01-01T23:59:59.000Z

252

MBGP IN MODELLING AND PREDICTION Carlos OliverMorales  

E-Print Network (OSTI)

. Universitaria O4510 Mexico City, MEXICO Abstract. The paper describes a hybrid approach for dynamic system), relative humidity (H), solar radiation (R) and wind speed (V) and direction (D) were recorded. The time An alternative representation in GP for dynamic system modelling and prediction was presented. This MB

Fernandez, Thomas

253

MB GP IN MODELLING AND PREDICTION Carlos Oliver-Morales  

E-Print Network (OSTI)

. Universitaria O4510 Mexico City, MEXICO Abstract. The paper describes a hybrid approach for dynamic system), relative humidity (H), solar radiation (R) and wind speed (V) and direction (D) were recorded. The time system modelling and prediction was presented. This MB-GP approach has used small values of GP parameters

Fernandez, Thomas

254

A Simple Empirical Model for Decadal Climate Prediction  

Science Journals Connector (OSTI)

Decadal climate prediction is a challenging aspect of climate research. It has been and will be tackled by various modeling groups. This study proposes a simple empirical forecasting system for the near-surface temperature that can be used as a ...

Oliver Krueger; Jin-Song Von Storch

2011-02-01T23:59:59.000Z

255

Predicting solar cycle 24 with a solar dynamo model  

E-Print Network (OSTI)

Whether the upcoming cycle 24 of solar activity will be strong or not is being hotly debated. The solar cycle is produced by a complex dynamo mechanism. We model the last few solar cycles by `feeding' observational data of the Sun's polar magnetic field into our solar dynamo model. Our results fit the observed sunspot numbers of cycles 21-23 extremely well and predict that cycle~24 will be about 35% weaker than cycle~23.

Arnab Rai Choudhuri; Piyali Chatterjee; Jie Jiang

2007-01-18T23:59:59.000Z

256

Estimating Predictive Variance for Statistical Gas Distribution Modelling  

SciTech Connect

Recent publications in statistical gas distribution modelling have proposed algorithms that model mean and variance of a distribution. This paper argues that estimating the predictive concentration variance entails not only a gradual improvement but is rather a significant step to advance the field. This is, first, since the models much better fit the particular structure of gas distributions, which exhibit strong fluctuations with considerable spatial variations as a result of the intermittent character of gas dispersal. Second, because estimating the predictive variance allows to evaluate the model quality in terms of the data likelihood. This offers a solution to the problem of ground truth evaluation, which has always been a critical issue for gas distribution modelling. It also enables solid comparisons of different modelling approaches, and provides the means to learn meta parameters of the model, to determine when the model should be updated or re-initialised, or to suggest new measurement locations based on the current model. We also point out directions of related ongoing or potential future research work.

Lilienthal, Achim J.; Asadi, Sahar; Reggente, Matteo [AASS Research Center, Oerebro University (Sweden)

2009-05-23T23:59:59.000Z

257

A Web Service Model for Providing Weather Information through Sensor Networks Using a Fermat Point Based Data Forwarding Scheme  

Science Journals Connector (OSTI)

Web services providing weather information are not new. The existing web services working on this kind of fields can provide more prcised information if the concerned data is collected in a distributed fashion using a sensor network. Longer the lifetime of the sensor network longer is the service provided without interruption. In this paper we propose a web service for providing weather information with a sensor network as the backbone. We have used a Fermat point based forwarding technique to minimize the energy consumption of the sensor network which eventually helps the web service work in an uninterrupted fashion for a longer duration as the life time of the network has prolonged.

2010-01-01T23:59:59.000Z

258

A minimal and predictive $T_7$ lepton flavor 331 model  

E-Print Network (OSTI)

We present a model based on the $SU(3)_{C}\\otimes SU(3)_{L}\\otimes U(1)_{X}$ gauge group having an extra $T_{7}\\otimes Z_{3}\\otimes Z_{14}$ flavor group, where the light active neutrino masses arise via double seesaw mechanism and the observed charged lepton mass hierarchy is a consequence of the $Z_{14}$ symmetry breaking at very high energy. In our minimal and predictive $T_7$ lepton flavor 331 model, the spectrum of neutrinos includes very light active neutrinos and heavy and very heavy sterile neutrinos. The obtained neutrino mixing parameters and neutrino mass squared splittings are compatible with the neutrino oscillation experimental data, for both normal and inverted hierarchies. The model predicts CP conservation in neutrino oscillations.

Hernndez, A E Crcamo

2015-01-01T23:59:59.000Z

259

NETL: Predictive Modeling and Evaluation - TVA Model Comparison  

NLE Websites -- All DOE Office Websites (Extended Search)

Ozone/PM2.5 Formation & Transport Model Comparison Ozone/PM2.5 Formation & Transport Model Comparison Future regulatory actions for mitigating PM2.5 concentrations will rely, to some extent, on results from large-scale atmospheric models. The most efficient approach to evaluating regulatory actions is to use an integrated approach that examines multiple air quality impacts simultaneously. This is because of the strong linkage between PM2.5 levels, visibility degradation, ozone and acidic deposition. Thus, regional modeling of the impacts on PM2.5 levels from proposed emission reductions should be evaluated in terms of computed impacts not only on PM2.5 levels, but on ozone and acidic deposition as well. TVA is an active participant in the only ongoing assessment of this type, which is being done for the Southern Appalachian Mountains Initiative (SAMI) as part of its integrated assessment in the southeastern United States. SAMI, with its focus on protecting PSD Class I areas, is using a model called URM that can examine all the aforementioned phenomena at once. In addition, URM has the capability, which SAMI intends to use, of efficiently examining the sensitivity of model outputs to changes in emissions across the entire modeling domain. Finally, SAMI will use URM to test various emission management options (EMOs) for mitigating impacts in the southern Appalachians. These EMOs will include controls on various source sectors, including energy.

260

Offshore pile driving noisePrediction through comprehensive model development  

Science Journals Connector (OSTI)

Offshore wind energy is one of the most potent among renewables and thus the worldwide number of offshore wind turbines increases rapidly. The foundations of the wind turbines are typically fastened to the seabed by impact pile driving which comes along with a significant amount of waterborne noise. To protect the marine biosphere the use of noise mitigation systems like bubble curtains or cofferdams may become necessary. In this context the model-based prediction of underwater sound pressure levels as well as the design and optimization of effective sound mitigation measures by using numerical models is one of todays challenges. The current work presents a modeling approach that consists of a near field finite element model and a far field propagation model. Furthermore it has been found necessary to generate a benchmark to allow for a qualitative and quantitative comparison between the manifold modeling approaches that are currently developed at various institutes and companies.

Marcel Ruhnau; Stephan Lippert

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Predicting Residential Air Exchange Rates from Questionnaires and Meteorology: Model Evaluation in Central North Carolina  

Science Journals Connector (OSTI)

The capability of the LBL, LBLX, and SF models could help reduce the AER uncertainty in air pollution exposure models used to develop exposure metrics for health studies. ... The parameters for the low-income homes were estimated using measurements from the Ohio Weatherization Program, which included residences with household incomes below 125% of the poverty guideline (14). ...

Michael S. Breen; Miyuki Breen; Ronald W. Williams; Bradley D. Schultz

2010-11-11T23:59:59.000Z

262

Weather-based forecasts of California crop yields  

SciTech Connect

Crop yield forecasts provide useful information to a range of users. Yields for several crops in California are currently forecast based on field surveys and farmer interviews, while for many crops official forecasts do not exist. As broad-scale crop yields are largely dependent on weather, measurements from existing meteorological stations have the potential to provide a reliable, timely, and cost-effective means to anticipate crop yields. We developed weather-based models of state-wide yields for 12 major California crops (wine grapes, lettuce, almonds, strawberries, table grapes, hay, oranges, cotton, tomatoes, walnuts, avocados, and pistachios), and tested their accuracy using cross-validation over the 1980-2003 period. Many crops were forecast with high accuracy, as judged by the percent of yield variation explained by the forecast, the number of yields with correctly predicted direction of yield change, or the number of yields with correctly predicted extreme yields. The most successfully modeled crop was almonds, with 81% of yield variance captured by the forecast. Predictions for most crops relied on weather measurements well before harvest time, allowing for lead times that were longer than existing procedures in many cases.

Lobell, D B; Cahill, K N; Field, C B

2005-09-26T23:59:59.000Z

263

Predictive Models of Li-ion Battery Lifetime (Presentation)  

SciTech Connect

Predictive models of Li-ion battery reliability must consider a multiplicity of electrochemical, thermal and mechanical degradation modes experienced by batteries in application environments. Complicating matters, Li-ion batteries can experience several path dependent degradation trajectories dependent on storage and cycling history of the application environment. Rates of degradation are controlled by factors such as temperature history, electrochemical operating window, and charge/discharge rate. Lacking accurate models and tests, lifetime uncertainty must be absorbed by overdesign and warranty costs. Degradation models are needed that predict lifetime more accurately and with less test data. Models should also provide engineering feedback for next generation battery designs. This presentation reviews both multi-dimensional physical models and simpler, lumped surrogate models of battery electrochemical and mechanical degradation. Models are compared with cell- and pack-level aging data from commercial Li-ion chemistries. The analysis elucidates the relative importance of electrochemical and mechanical stress-induced degradation mechanisms in real-world operating environments. Opportunities for extending the lifetime of commercial battery systems are explored.

Smith, K.; Wood, E.; Santhanagopalan, S.; Kim, G.; Shi, Y.; Pesaran, A.

2014-09-01T23:59:59.000Z

264

Probabilistic Forecasts of Wind Speed: Ensemble Model Output Statistics  

E-Print Network (OSTI)

. Over the past two decades, ensembles of numerical weather prediction (NWP) models have been developed and phrases: Continuous ranked probability score; Density forecast; Ensem- ble system; Numerical weather prediction; Heteroskedastic censored regression; Tobit model; Wind energy. 1 #12;1 Introduction Accurate

Washington at Seattle, University of

265

Connecticut: Bridgeport Multifamily Weatherization  

Office of Energy Efficiency and Renewable Energy (EERE)

A multifamily facility in Bridgeport that provides safe housing for individuals, veterans and the homeless, received weatherization services with funding from EERE's Weatherization Assistance Program, estimated to save nearly $7,000 in energy costs annually.

266

6961 weather resistance [n  

Science Journals Connector (OSTI)

constr. (Property of materials which are unaffected by the deteriorating effects of weather, including rain, sun, frost, etc.; in U.S., w. r., rather than weather proofing, is a term used to prot...

2010-01-01T23:59:59.000Z

267

WEATHER HAZARDS Basic Climatology  

E-Print Network (OSTI)

) Wildfires (Jun 02) Recent Declared Disasters in Colorado No Map from FEMA provided #12;National WeatherWEATHER HAZARDS Basic Climatology Colorado Climate Center Funding provided by NOAA Sectoral

268

The Numerical Modelling Research and Development Division is responsible for research into and develop-  

E-Print Network (OSTI)

into and develop- ment of numerical weather prediction models and other meteorological applications, that are opera in the field of numerical weather prediction: atmospheric and oceanographic modelling, physical and statistical132 The Numerical Modelling Research and Development Division is responsible for research

Haak, Hein

269

Bias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction  

E-Print Network (OSTI)

from numerical weather prediction models, which is based on a state-of-the-art circular-processing techniques for forecasts from numerical weather prediction models tend to become ineffective or inapplicableBias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction Le

Washington at Seattle, University of

270

Weatherization Assistance Program  

Energy.gov (U.S. Department of Energy (DOE))

This fact sheet provides an overview of the U.S. Department of Energys Weatherization Assistance Program.

271

A neural network based model for urban noise prediction  

Science Journals Connector (OSTI)

Noise is a global problem. In 1972 the World Health Organization (WHO) classified noise as a pollutant. Since then most industrialized countries have enacted laws and local regulations to prevent and reduce acoustic environmental pollution. A further aim is to alert people to the dangers of this type of pollution. In this context urban planners need to have tools that allow them to evaluate the degree of acoustic pollution. Scientists in many countries have modeled urban noise using a wide range of approaches but their results have not been as good as expected. This paper describes a model developed for the prediction of environmental urban noise using Soft Computing techniques namely Artificial Neural Networks (ANN). The model is based on the analysis of variables regarded as influential by experts in the field and was applied to data collected on different types of streets. The results were compared to those obtained with other models. The study found that the ANN system was able to predict urban noise with greater accuracy and thus was an improvement over those models. The principal component analysis (PCA) was also used to try to simplify the model. Although there was a slight decline in the accuracy of the results the values obtained were also quite acceptable.

N. Genaro; A. Torija; A. Ramos-Ridao; I. Requena; D. P. Ruiz; M. Zamorano

2010-01-01T23:59:59.000Z

272

NETL: Predictive Modeling and Evaluation - CMU Regional Modeling Study  

NLE Websites -- All DOE Office Websites (Extended Search)

Regional Source-Receptor Modeling Study Regional Source-Receptor Modeling Study The Pittsburgh Air Quality Study (PAQS) [PDF-744KB] is comprised of three inter-related components: 1) ambient PM measurements, 2) source characterization, and 3) deterministic and statistical air quality modeling. This effort will permit clarification of the contribution of coal-fired power plants to fine ambient PM2.5 (particulate matter with an aerodynamic diameter less than 2.5 µm). The resources from the Department of Energy (DOE) will be leveraged with resources from the Environmental Protection Agency (EPA) and other organizations. Clarkson University (Hopke group) will apply advanced receptor models to identify the nature, location and contribution of the sources of particulate matter observed by the measurements made as part of the PAQS. Several forms of factor analysis including Positive Matrix Factorization (PMF) and UNMIX will be applied in order to identify the composition and contributions of the sources. Potential Source Contribution Function analysis as well as Residence Time Weighted Concentration analysis will be applied to the determination of the locations of the likely major contributing sources. The aforementioned factor analysis methods will also be applied to the spatially distributed data both on a single species and multiple species basis and to compare these results with those obtained utilizing the back-trajectory-based methods. The availability of highly time resolved data should permit greater source resolution and will be examined to determine how much increased source specificity can be obtained from the increased time resolution in the data. Assistance will be provided with the multivariate calibration that will permit the use of single-particle mass spectrometry data to estimate ambient concentrations of particulate species. These analyses should provide a better understanding of the source/receptor relationships that lead to the observed particle concentrations in the Pittsburgh area.

273

Fast prediction and evaluation of gravitational waveforms using surrogate models  

E-Print Network (OSTI)

[Abridged] We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-time applications and in more traditional scenarios where the generation of waveforms using standard methods can be prohibitively expensive. Our approach is based on three offline steps resulting in an accurate reduced-order model that can be used as a surrogate for the true/fiducial waveform family. First, a set of m parameter values is determined using a greedy algorithm from which a reduced basis representation is constructed. Second, these m parameters induce the selection of m time values for interpolating a waveform time series using an empirical interpolant. Third, a fit in the parameter dimension is performed for the waveform's value at each of these m times. The cost of predicting L waveform time samples for a generic parameter choice is of order m L + m c_f online operations where c_f denotes the fitting function operation count and, typically, m standard ways. Surrogate model building for other waveform models follow the same steps and have the same low online scaling cost. For expensive numerical simulations of binary black hole coalescences we thus anticipate large speedups in generating new waveforms with a surrogate. As waveform generation is one of the dominant costs in parameter estimation algorithms and parameter space exploration, surrogate models offer a new and practical way to dramatically accelerate such studies without impacting accuracy.

Scott E. Field; Chad R. Galley; Jan S. Hesthaven; Jason Kaye; Manuel Tiglio

2014-02-28T23:59:59.000Z

274

Reynolds-stress model prediction of 3-D duct flows  

E-Print Network (OSTI)

The paper examines the impact of different modelling choices in second-moment closures by assessing model performance in predicting 3-D duct flows. The test-cases (developing flow in a square duct [Gessner F.B., Emery A.F.: {\\em ASME J. Fluids Eng.} {\\bf 103} (1981) 445--455], circular-to-rectangular transition-duct [Davis D.O., Gessner F.B.: {\\em AIAA J.} {\\bf 30} (1992) 367--375], and \\tsn{S}-duct with large separation [Wellborn S.R., Reichert B.A., Okiishi T.H.: {\\em J. Prop. Power} {\\bf 10} (1994) 668--675]) include progressively more complex strains. Comparison of experimental data with selected 7-equation models (6 Reynolds-stress-transport and 1 scale-determining equations), which differ in the closure of the velocity/pressure-gradient tensor $\\Pi_{ij}$, suggests that rapid redistribution controls separation and secondary-flow prediction, whereas, inclusion of pressure-diffusion modelling improves reattachment and relaxation behaviour.

Gerolymos, G A

2014-01-01T23:59:59.000Z

275

Supporting technology for enhanced oil recovery: Polymer predictive model  

SciTech Connect

The Polymer Flood Predictive Model (PFPM) was developed by Scientific Software-Intercomp for the National Petroleum Council's (NPC) 1984 survey of US enhanced oil recovery potential (NPC, 1984). The PFPM is switch-selectable for either polymer or waterflooding, and an option in the model allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. The architecture of the PFPM is similar to that of the other predictive models in the series: in-situ combustion, steam drive (Aydelotte and Pope, 1983), chemical flooding (Paul et al., 1982) and CO/sub 2/ miscible flooding (Paul et al., 1984). In the PFPM, an oil rate versus time function for a single pattern is computed and then is passed to the economic calculations. Data for reservoir and process development, operating costs, and a pattern schedule (if multiple patterns are desired) allow the computation of discounted cash flow and other measures of profitability. The PFPM is a three-dimensional (stratified, five-spot), two-phase (water and oil) model which computes water from breakthrough and oil recovery using fractional flow theory, and models areal and vertical sweeps using a streamtube approach. A correlation based on numerical simulation results is used to model the polymer slug size effect. The physical properties of polymer fluids, such as adsorption, permeability reduction, and non-Newtonian effects, are included in the model. Pressure drop between the injector and producer is kept constant, and the injectivity at each time step is calculated based on the mobility in each streamtube. Heterogeneity is accounted for by either entering detailed layer data or using the Dykstra-Parsons coefficient for a reservoir with a log-normal permeability distribution. 24 refs., 27 figs., 59 tabs.

Not Available

1986-12-01T23:59:59.000Z

276

Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 00: 115 (0000) Controlling model error of underdamped forecast models in  

E-Print Network (OSTI)

-dependent predictability, ensemble methods have become popular for producing numerical weather forecasts (Molteni weather prediction or climate dynamics. In such simulations numerical codes tend to produce large errors of the forecast model and a numerical model error due to the choice of the numerical method used to simulate those

Gottwald, Georg A.

277

Atmos Energy - Natural Gas and Weatherization Efficiency Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Atmos Energy - Natural Gas and Weatherization Efficiency Program Atmos Energy - Natural Gas and Weatherization Efficiency Program Atmos Energy - Natural Gas and Weatherization Efficiency Program < Back Eligibility Low-Income Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Sealing Your Home Construction Commercial Weatherization Design & Remodeling Ventilation Appliances & Electronics Water Heating Windows, Doors, & Skylights Program Info State Kentucky Program Type Utility Rebate Program Rebate Amount Forced Air Furnace: $250 - $400 Boiler: $250 High Efficiency Tank Water Heater: $200 - $300 Tankless Model: $400 Programmable Thermostat: $25 Weatherization Assistance: Up to $3,000 Provider Atmos Energy Kentucky Rebate Offer Atmos Energy provides rebates to residential and commercial for natural gas

278

Model Predictive Control of Integrated Gasification Combined Cycle Power Plants  

SciTech Connect

The primary project objectives were to understand how the process design of an integrated gasification combined cycle (IGCC) power plant affects the dynamic operability and controllability of the process. Steady-state and dynamic simulation models were developed to predict the process behavior during typical transients that occur in plant operation. Advanced control strategies were developed to improve the ability of the process to follow changes in the power load demand, and to improve performance during transitions between power levels. Another objective of the proposed work was to educate graduate and undergraduate students in the application of process systems and control to coal technology. Educational materials were developed for use in engineering courses to further broaden this exposure to many students. ASPENTECH software was used to perform steady-state and dynamic simulations of an IGCC power plant. Linear systems analysis techniques were used to assess the steady-state and dynamic operability of the power plant under various plant operating conditions. Model predictive control (MPC) strategies were developed to improve the dynamic operation of the power plants. MATLAB and SIMULINK software were used for systems analysis and control system design, and the SIMULINK functionality in ASPEN DYNAMICS was used to test the control strategies on the simulated process. Project funds were used to support a Ph.D. student to receive education and training in coal technology and the application of modeling and simulation techniques.

B. Wayne Bequette; Priyadarshi Mahapatra

2010-08-31T23:59:59.000Z

279

Predictive Modeling of fMRI Brain States using Functional Canonical Correlation Analysis  

E-Print Network (OSTI)

Predictive Modeling of fMRI Brain States using Functional Canonical Correlation Analysis S Abstract. We present a novel method for predictive modeling of human brain states from functional for prediction of naturalistic stimuli from unknown fMRI data shows that the method nds highly predictive brain

Smeulders, Arnold

280

Final Project Report: Release of aged contaminants from weathered sediments: Effects of sorbate speciation on scaling of reactive transport  

SciTech Connect

Hanford sediments impacted by hyperalkaline high level radioactive waste have undergone incongruent silicate mineral weathering concurrent with contaminant uptake. In this project, we studied the impact of background pore water (BPW) on strontium, cesium and iodine desorption and transport in Hanford sediments that were experimentally weathered by contact with simulated hyperalkaline tank waste leachate (STWL) solutions. Using those lab-weathered Hanford sediments (HS) and model precipitates formed during nucleation from homogeneous STWL solutions (HN), we (i) provided detailed characterization of reaction products over a matrix of field-relevant gradients in contaminant concentration, PCO2, and reaction time; (ii) improved molecular-scale understanding of how sorbate speciation controls contaminant desorption from weathered sediments upon removal of caustic sources; and (iii) developed a mechanistic, predictive model of meso- to field-scale contaminant reactive transport under these conditions.

Jon Chorover, University of Arizona; Peggy O'‚ € ‚ ™ Day, University of California, Merced; Karl Mueller, Penn State University; Wooyong Um, Pacific Northwest National Laboratory; Carl Steefel, Lawrence Berkeley National Laboratory

2012-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Time Step Sensitivity of Nonlinear Atmospheric Models: Numerical Convergence, Truncation Error Growth, and Ensemble Design  

E-Print Network (OSTI)

1973; Oran and Boris 1987; Murray 1989; Gershenfeld 1999). Weather and climate prediction models, which to the initial conditions, which is a major source of uncertainty in Numerical Weather Prediction (NWP; eTime Step Sensitivity of Nonlinear Atmospheric Models: Numerical Convergence, Truncation Error

Judd, Kevin

282

A perfectly matched layer formulation for the nonlinear shallow water equations models: The split  

E-Print Network (OSTI)

In a limited-area numerical weather prediction model, the lateral boundaries are not physical boundaries interest since the early days of numerical weather prediction. Several good reviews are availableA perfectly matched layer formulation for the nonlinear shallow water equations models: The split

Navon, Michael

283

Weather-Corrected Performance Ratio  

SciTech Connect

Photovoltaic (PV) system performance depends on both the quality of the system and the weather. One simple way to communicate the system performance is to use the performance ratio (PR): the ratio of the electricity generated to the electricity that would have been generated if the plant consistently converted sunlight to electricity at the level expected from the DC nameplate rating. The annual system yield for flat-plate PV systems is estimated by the product of the annual insolation in the plane of the array, the nameplate rating of the system, and the PR, which provides an attractive way to estimate expected annual system yield. Unfortunately, the PR is, again, a function of both the PV system efficiency and the weather. If the PR is measured during the winter or during the summer, substantially different values may be obtained, making this metric insufficient to use as the basis for a performance guarantee when precise confidence intervals are required. This technical report defines a way to modify the PR calculation to neutralize biases that may be introduced by variations in the weather, while still reporting a PR that reflects the annual PR at that site given the project design and the project weather file. This resulting weather-corrected PR gives more consistent results throughout the year, enabling its use as a metric for performance guarantees while still retaining the familiarity this metric brings to the industry and the value of its use in predicting actual annual system yield. A testing protocol is also presented to illustrate the use of this new metric with the intent of providing a reference starting point for contractual content.

Dierauf, T.; Growitz, A.; Kurtz, S.; Cruz, J. L. B.; Riley, E.; Hansen, C.

2013-04-01T23:59:59.000Z

284

Predictions  

Science Journals Connector (OSTI)

...Web jet aircraft, rocketry, space travel fax machines and mobile...London, UK/Bridgeman Art Library. Predictions generated by natural processes in astronomical space, and it is thought to supply...to be used in early 1999 as public transport in that city, is...

2001-01-01T23:59:59.000Z

285

EnKF Assimilation of High-Resolution, Mobile Doppler Radar Data of the 4 May 2007 Greensburg, Kansas, Supercell into a Numerical Cloud Model  

E-Print Network (OSTI)

Kalman filter (EnKF) technique into a non- hydrostatic, compressible numerical weather prediction model weather prediction (NWP) models to improve under- standing of convective storm dynamics is now a fairly, Kansas, Supercell into a Numerical Cloud Model ROBIN L. TANAMACHI,*,1,# LOUIS J. WICKER,@ DAVID C. DOWELL

Xue, Ming

286

Crucial stages of protein folding through a solvable model: Predicting target sites  

E-Print Network (OSTI)

Crucial stages of protein folding through a solvable model: Predicting target sites for enzyme. Keywords: Protein-folding modeling; prediction of key folding sites; HIV-1 protease; drug resistance One

Cecconi, Fabio

287

Modeling the spread of bird flu and predicting outbreak diversity  

Science Journals Connector (OSTI)

Avian influenza, commonly known as bird flu, is an epidemic caused by H5N1 virus that primarily affects birds like chickens, wild water birds, etc. On rare occasions, these can infect other species including pigs and humans. In the span of less than a year, the lethal strain of bird flu is spreading very fast across the globe mainly in South East Asia, parts of Central Asia, Africa and Europe. In order to study the patterns of spread of epidemic, we made an investigation of outbreaks of the epidemic in one week, that is from February 1318, 2006, when the deadly virus surfaced in India. We have designed a statistical transmission model of bird flu taking into account the factors that affect the epidemic transmission such as source of infection, social and natural factors and various control measures are suggested. For modeling the general intensity coefficient f ( r ) , we have implemented the recent ideas given in the article Fitting the Bill, Nature [R. Howlett, Fitting the bill, Nature 439 (2006) 402], which describes the geographical spread of epidemics due to transportation of poultry products. Our aim is to study the spread of avian influenza, both in time and space, to gain a better understanding of transmission mechanism. Our model yields satisfactory results as evidenced by the simulations and may be used for the prediction of future situations of epidemic for longer periods. We utilize real data at these various scales and our model allows one to generalize our predictions and make better suggestions for the control of this epidemic.

Ranjit Kumar Upadhyay; Nitu Kumari; V. Sree Hari Rao

2008-01-01T23:59:59.000Z

288

Supporting technology for enhanced oil recovery: Chemical flood predictive model  

SciTech Connect

The Chemical Flood Predictive Model (CFPM) was developed by Scientific Software-Intercomp for the US Department of Energy and was used in the National Petroleum Council's (NPC) 1984 survey of US enhanced oil recovery potential (NPC, 1984). The CFPM models micellar (surfactant)-polymer (MP) floods in reservoirs which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option is available in the model which allows a rough estimate of oil recovery by caustic (alkaline) or caustic-polymer processes. This ''caustic'' option, added for the NPC survey, is not modeled as a separate process. Rather, the caustic and caustic-polymer oil recoveries are computed simply as 15% and 40%, respectively, of the MP oil recovery. In the CFPM, an oil rate versus time function for a single pattern is computed and the results are passed to the economic routines. To estimate multi-pattern project behavior, a pattern development schedule must be specified. After-tax cash flow is computed by combining revenues with capital costs for drilling, conversion and upgrading of wells, chemical handling costs, fixed and variable operating costs, injectant costs, depreciation, royalties, severance, state, federal, and windfall profit taxes, cost and price inflation rates, and the discount rate. A lumped parameter uncertainty routine is used to estimate risk, and allows for variation in computed project performance within an 80% confidence interval. The CFPM uses theory and the results of numerical simulation to predict MP oil recovery in five-spot patterns. Oil-bank and surfactant breakthrough and project life are determined from fractional flow theory. A Koval-type factor, based on the Dykstra-Parsons (1950) coefficient, is used to account for the effects of reservoir heterogeneity on surfactant and oil bank velocities. 18 refs., 17 figs., 27 tabs.

Ray, R.M.; Munoz, J.D.

1986-12-01T23:59:59.000Z

289

Weather Charts - Hanford Site  

NLE Websites -- All DOE Office Websites (Extended Search)

Station Real Time Met Data from Around the Site Current HMS Observations Daily HMS Extremes in Met Data Met and Climate Data Summary Products Historical Weather Charts Contacts...

290

The Weatherization Training program at Pennsylvania College  

ScienceCinema (OSTI)

A look into some of the remarkable work being done in the Weatherization Training program at Pennsylvania College. Penn College's program has served as the model for six other training centers in Pennsylvania alone.

Meville, Jeff; Wilson, Jack; Manz, John; Gannett, Kirk; Smith, Franzennia;

2013-05-29T23:59:59.000Z

291

The Weatherization Training program at Pennsylvania College  

SciTech Connect

A look into some of the remarkable work being done in the Weatherization Training program at Pennsylvania College. Penn College's program has served as the model for six other training centers in Pennsylvania alone.

Meville, Jeff; Wilson, Jack; Manz, John; Gannett, Kirk; Smith, Franzennia

2010-01-01T23:59:59.000Z

292

Weatherization and Intergovernmental Program: About  

NLE Websites -- All DOE Office Websites (Extended Search)

About About Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: About to someone by E-mail Share Weatherization and Intergovernmental Program: About on Facebook Tweet about Weatherization and Intergovernmental Program: About on Twitter Bookmark Weatherization and Intergovernmental Program: About on Google Bookmark Weatherization and Intergovernmental Program: About on Delicious Rank Weatherization and Intergovernmental Program: About on Digg Find More places to share Weatherization and Intergovernmental Program: About on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program WAP - Sustainable Energy Resources for Consumers Grants WAP - Weatherization Innovation Pilot Program State Energy Program

293

Weatherization and minority energy use: A preliminary analysis  

SciTech Connect

This paper presents an analysis of the patterns of minority and non-minority energy consumption with and without weatherization measures. The behavior of the household in response to a weatherization-induced income gain is modeled using ANL`s Minority Economic Assessment Model (MEAM). Weatherization is then examined from a programmatic perspective in light of the MEAM findings. This work is the first part of a larger analysis to assess the economic impact of weatherization on minority households and to examine the reallocation of LIHEAP funds to weatherization. Several limitations of this analysis are discussed.

Earl, E.V.; Collins, N.E.

1992-06-01T23:59:59.000Z

294

Weatherization and minority energy use: A preliminary analysis  

SciTech Connect

This paper presents an analysis of the patterns of minority and non-minority energy consumption with and without weatherization measures. The behavior of the household in response to a weatherization-induced income gain is modeled using ANL's Minority Economic Assessment Model (MEAM). Weatherization is then examined from a programmatic perspective in light of the MEAM findings. This work is the first part of a larger analysis to assess the economic impact of weatherization on minority households and to examine the reallocation of LIHEAP funds to weatherization. Several limitations of this analysis are discussed.

Earl, E.V.; Collins, N.E.

1992-01-01T23:59:59.000Z

295

Hybrid coupled models of the tropical Paci c | II ENSO prediction  

E-Print Network (OSTI)

Hybrid coupled models of the tropical Paci#12;c | II ENSO prediction by Youmin Tang 1 , William W: ytang@cims.nyu.edu #12; Abstract Two hybrid coupled models (HCMs), a dynamical ocean model coupled Introduction Models for ENSO prediction can be categorized into purely statistical models, hybrid coupled

Hsieh, William

296

ZEPHYR THE PREDICTION MODELS T.S. Nielsen, H. Madsen, H. Aa. Nielsen  

E-Print Network (OSTI)

models and methods for predicting the wind power output from wind farms. The system is being developed Modelling (IMM) as the modelling team and all the Danish utilities as partners and users. The new models INTRODUCTION Historically there has been two models used in Denmark to predict the power production from wind

297

RESIDUA UPGRADING EFFICIENCY IMPROVEMENT MODELS: COKE FORMATION PREDICTABILITY MAPS  

SciTech Connect

The dispersed particle solution model of petroleum residua structure was used to develop predictors for pyrolytic coke formation. Coking Indexes were developed in prior years that measure how near a pyrolysis system is to coke formation during the coke formation induction period. These have been demonstrated to be universally applicable for residua regardless of the source of the material. Coking onset is coincidental with the destruction of the ordered structure and the formation of a multiphase system. The amount of coke initially formed appears to be a function of the free solvent volume of the original residua. In the current work, three-dimensional coke make predictability maps were developed at 400 C, 450 C, and 500 C (752 F, 842 F, and 932 F). These relate residence time and free solvent volume to the amount of coke formed at a particular pyrolysis temperature. Activation energies for two apparent types of zero-order coke formation reactions were estimated. The results provide a new tool for ranking residua, gauging proximity to coke formation, and predicting initial coke make tendencies.

John F. Schabron; A. Troy Pauli; Joseph F. Rovani Jr.

2002-05-01T23:59:59.000Z

298

Paintball Summer Weather  

E-Print Network (OSTI)

Highlights · Paintball · Summer Weather · Birthdays · Manners TheELIWeekly Paintball! Come out France Iraq Japan Korea Kuwait Libya Netherlands Niger Peru Qatar Saudi Arabia Spain Taiwan Thailand Turkey United States Venezuela Summer Weather Safety We've come to realize in the past that not all

Pilyugin, Sergei S.

299

Adaptive model predictive process control using neural networks  

DOE Patents (OSTI)

A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data.

Buescher, Kevin L. (Los Alamos, NM); Baum, Christopher C. (Mazomanie, WI); Jones, Roger D. (Espanola, NM)

1997-01-01T23:59:59.000Z

300

Adaptive model predictive process control using neural networks  

DOE Patents (OSTI)

A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data. 46 figs.

Buescher, K.L.; Baum, C.C.; Jones, R.D.

1997-08-19T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Predictive Model for Environmental Assessment in Additive Manufacturing Process  

Science Journals Connector (OSTI)

Abstract Additive Manufacturing is an innovative way to produce parts. However its environmental impact is unknown. To ensure the development of additive manufacturing processes it seems important to develop the concept of DFSAM (Design for Sustainable Additive Manufacturing). In fact, one of the objectives of environmental sustainable manufacturing is to minimize the whole flux consumption (electricity, material and fluids) during manufacturing step. To achieve this goal, it is interesting to get a predictive model of consumptions, integrated in the design step, allowing to evaluate the product's environmental impact during the manufacturing step. This paper presents a new methodology for electric, fluids and raw material consumptions assessment for additive manufacturing processes, in particular for a direct metal deposition process. The methodology will help engineers to design parts optimized for additive manufacturing with an environmental point of view.

Florent Le Bourhis; Olivier Kerbrat; Lucas Dembinski; Jean-Yves Hascoet; Pascal Mognol

2014-01-01T23:59:59.000Z

302

weather | OpenEI  

Open Energy Info (EERE)

weather weather Dataset Summary Description A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. Source NREL Date Released February 07th, 2013 (10 months ago) Date Updated Unknown Keywords 2011 data NREL RSF weather Data text/csv icon rsf_weather_data_2011.csv (csv, 851.2 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating.

303

Weatherized in January  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

**Number of Homes **Number of Homes Weatherized in January 2011 (Recovery Act) Total Number of Homes Weatherized through January 2011 (Recovery Act) ***Total Number of Homes Weatherized through January 2011 Calendar Year 2009 - January 2011 (Recovery Act + Annual Program Funding) U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By Grantee in January 2011 (Calendar Year) (Recovery Act) (Recovery Act Annual Program Funding) Alabama 323 4,036 4,780 1 Alaska 21 231 1,850 Arizona 289 4,000 5,187 Arkansas 179 3,545 5,263 California 1,469 24,620 28,197 Colorado 401 7,188 12,926 Connecticut 530 3,689 4,758 2 2 Delaware 519 689 District of Columbia 30 661 972 Florida 799 8,895 9,971 Georgia 526 7,718 8,476 Hawaii 13 419 774 Idaho 244 3,996 5,963 Illinois

304

NEWTON's Weather Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

Weather Archive: Weather Archive: Loading Most Recent Weather Questions: Acid Rain and Evaporation Effects Ground Temperature for Snow to 'Stick' Clouds and Time of Day Chart Scales on Vertical Velocity Chart Aneroid Barometers: Aircraft; Meteorology Air and Saturation Pressure Tornado Size and Vortex Spin Rate Polar Air Pressure Coldest Temperature in Atmosphere; Elevation Snow Clump Formation Relative Humidity, Temperature, Amount of Water Polar Weather Systems Bergeron Process Cloud Formation and Time of Day Hailstone Shape Threshold Values for Classifying Pressure Systems Rain Shadow Range Cloud Suspension Measuring Rainfall Why Does It Rain? Measuring Rainfall Dew Point and Dogs Size of Cloud from Shadow What is dBZ in Meteorology? Daily Temperature Lag To see all entries in the Weather

305

What is Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

What is Weatherization Weatherization as defined by the Weatherization Assistance Program (WAP) differs in many ways from what is commonly called "weatherizing your...

306

Recent changes of weather patterns in North America  

SciTech Connect

The objectives of this report are (1) to analyze the time related changes and variability in the property and frequency of air masses and the weather extremes over North America; and, (2) to determine to what degree the observed changes agree with the predictions based on climate models. Climate models predict a general increase of surface air temperature and drought over parts of the North American continent due to increased CO{sub 2} concentrations. Regional climate change results in part from the changed frequency of the atmospheric and oceanic circulation patterns and partly from the changed properties of the different air mass types. We plan to investigate the changing frequency and properties of the air mass types focusing on moisture dependent variables and comparing the findings with the results of numerical climate models.

Kukla, G.J.; Gavin, J.E.

1992-04-01T23:59:59.000Z

307

Predictive Materials Modeling for Li-Air Battery Systems | Argonne...  

NLE Websites -- All DOE Office Websites (Extended Search)

Related Publications: Predicted thermochemistry for chemical conversions of 5-hydroxymethylfurfural Computational Studies of the Thermochemistry for Conversion of Glucose to...

308

Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions Prithwish Chakraborty  

E-Print Network (OSTI)

with official flu estimates. We also compare the prediction accuracy between model-level fusion of differentForecasting a Moving Target: Ensemble Models for ILI Case Count Predictions Prithwish Chakraborty using neighbor- hood embedding to predict flu case counts. Comparing our proposed ensemble method

Ryder, Barbara G.

309

Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort  

E-Print Network (OSTI)

Predictive Clothing Insulation Models based on Outdoor AirPREDICTIVE CLOTHING INSULATION MODELS ON BUILDING ENERGYthat the clothing insulation is equal to a constant value of

Schiavon, Stefano; Lee, Kwang Ho

2013-01-01T23:59:59.000Z

310

Application of the cumulative risk model in predicting school readiness in Head Start children  

E-Print Network (OSTI)

This study investigates the degree to which the cumulative risk index predicted school readiness in a Head Start population. In general, the reviewed studies indicated the cumulative risk model was efficacious in predicting adverse developmental...

Rodriguez-Escobar, Olga Lydia

2009-05-15T23:59:59.000Z

311

Weather Research and Forecasting prevision model as a tool to search for the best sites for astronomy: application to La Palma, Canary Islands  

Science Journals Connector (OSTI)

......the capability of WRF to predict the...Palma. Maps of the wind velocity, cloudiness...the use of the WRF model in an astronomical...launched on our local computer every...at 0600-ut (local time is equal to...C_N^2$ The WRF model gives vertical...temperature and the wind velocity forecast......

C. Giordano; J. Vernin; H. Trinquet; C. Muoz-Tun

2014-01-01T23:59:59.000Z

312

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

... For decades, companies have tailored public weather data for private customers from farmers to airlines. On Wednesday, a group of businesses said that they ... utilities and satellite operators. But Terry Onsager, a physicist at the SWPC, says that private forecasting firms are starting to realize that they can add value to these predictions. ...

Eric Hand

2012-04-27T23:59:59.000Z

313

Multi-objective calibration of forecast ensembles using Bayesian model averaging  

E-Print Network (OSTI)

weather prediction models. The BMA predictive probability density function (PDF) of any weather quantity but complementary metrics of forecast skill, and uses a numerical algorithm to solve for the Pareto set of parameters that have consistently good performance across multiple performance metrics. Two illustrative case

Vrugt, Jasper A.

314

Evolution of porosity and diffusivity associated with chemical weathering of a basalt clast  

SciTech Connect

Weathering of rocks as a result of exposure to water and the atmosphere can cause significant changes in their chemistry and porosity. In low-porosity rocks, such as basalts, changes in porosity, resulting from chemical weathering, are likely to modify the rock's effective diffusivity and permeability, affecting the rate of solute transport and thus potentially the rate of overall weathering to the extent that transport is the rate limiting step. Changes in total porosity as a result of mineral dissolution and precipitation have typically been used to calculate effective diffusion coefficients through Archie's law for reactive transport simulations of chemical weathering, but this approach fails to account for unconnected porosity that does not contribute to transport. In this study, we combine synchrotron X-ray microcomputed tomography ({mu}CT) and laboratory and numerical diffusion experiments to examine changes in both total and effective porosity and effective diffusion coefficients across a weathering interface in a weathered basalt clast from Costa Rica. The {mu}CT data indicate that below a critical value of {approx}9%, the porosity is largely unconnected in the basalt clast. The {mu}CT data were further used to construct a numerical pore network model to determine upscaled, effective diffusivities as a function of total porosity (ranging from 3 to 30%) for comparison with diffusivities determined in laboratory tracer experiments. By using effective porosity as the scaling parameter and accounting for critical porosity, a model is developed that accurately predicts continuum-scale effective diffusivities across the weathering interface of the basalt clast.

Navarre-Sitchler, A.; Steefel, C.I.; Yang, L.; Tomutsa, L.; Brantley, S.L.

2009-02-15T23:59:59.000Z

315

Weatherizing Wilkes-Barre  

ScienceCinema (OSTI)

Ride along with some weatherizers in Wilkes-Barre, PA, as they blower door test, manage z-doors, and dense pack their way to an energy efficient future one house at a time.

Calore, Joe

2013-05-29T23:59:59.000Z

316

The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Version 4  

E-Print Network (OSTI)

The Emissions Prediction and Policy Analysis (EPPA) model is the part of the MIT Integrated Global Systems Model (IGSM) that represents the human systems. EPPA is a recursive-dynamic multi-regional general equilibrium model ...

Paltsev, Sergey.

317

The MIT Emissions Prediction and Policy Analysis (EPPA) model : revisions, sensitivities, and comparisons of results  

E-Print Network (OSTI)

The Emissions Prediction and Policy Analysis (EPPA) model is a component of the MIT Integrated Earth Systems Model (IGSM). Here, we provide an overview of the model accessible to a broad audience and present the detailed ...

Babiker, Mustafa H.M.; Reilly, John M.; Mayer, Monika.; Eckaus, Richard S.; Sue Wing, Ian.; Hyman, Robert C.

318

A Forward Looking Version of the MIT Emissions Prediction and Policy Analysis (EPPA) Model  

E-Print Network (OSTI)

This paper documents a forward looking multi-regional general equilibrium model developed from the latest version of the recursive-dynamic MIT Emissions Prediction and Policy Analysis (EPPA) model. The model represents ...

Babiker, Mustafa M.H.

319

Neighborhood Weatherization, Houston  

E-Print Network (OSTI)

with industry groups 5. Referrals http://www.click2houston.com/video/24501979/index.html 2010 CLEAResult. All rights reserved. Milestone Celebration 2010 CLEAResult. All rights reserved. 10,000 Homes Weatherized 2010 CLEAResult. All rights... with industry groups 5. Referrals http://www.click2houston.com/video/24501979/index.html 2010 CLEAResult. All rights reserved. Milestone Celebration 2010 CLEAResult. All rights reserved. 10,000 Homes Weatherized 2010 CLEAResult. All rights...

Fowler, M.

2011-01-01T23:59:59.000Z

320

Weatherization Assistance Program  

Energy.gov (U.S. Department of Energy (DOE))

The U.S. Department of Energy (DOE) Weatherization Assistance Program provides grants to states, territories, and some Indian tribes to improve the energy efficiency of the homes of low-income families. These governments, in turn, contract with local governments and nonprofit agencies to provide weatherization services to those in need using the latest technologies for home energy upgrades. Since the program began in 1976, DOE has helped improve the lives of than 7 million families by reducing their energy bills.

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Predictive Materials Modeling for Li-Air Battery Systems | Argonne...  

NLE Websites -- All DOE Office Websites (Extended Search)

Studies of the Thermochemistry for Conversion of Glucose to Levulinic Acid Predicted thermochemistry for chemical conversions of 5-hydroxymethylfurfural Catalyst: Nichols Romero...

322

Model Predictive Control for the Operation of Building Cooling Systems  

E-Print Network (OSTI)

predictive control of thermal energy storage in buildingpredictive control of thermal energy storage in buildingsystems which use thermal energy storage. In particular the

Ma, Yudong

2010-01-01T23:59:59.000Z

323

Satellite Application Facility for Numerical Weather Prediction  

E-Print Network (OSTI)

region (traffic, off-shore, tourism, wind parks), and most pollutants are released into the environment

Stoffelen, Ad

324

Understanding the strengths and weaknesses of a new-generation numerical weather prediction model for application to short-term wind energy prediction.  

E-Print Network (OSTI)

??Wind power is a growing economy and science. It has far reaching consequences in all aspects of society and if goals of energy sustainability and (more)

Fowler, Padriac

2012-01-01T23:59:59.000Z

325

NOAA National Weather Service I'm a weather forecaster.  

E-Print Network (OSTI)

.S.D EPARTMENT OF COM M ERCE How Do You Make a Weather Satellite? How Do You Make a Weather Satellite? #12;Well you put a truck in orbit? So it can carry all the things needed to make a working weather satelliteNOAA National Weather Service I'm a weather forecaster. I need to see clouds and storms from way up

Waliser, Duane E.

326

IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 8, NO. 6, DECEMBER 2000 665 Fuzzy Model Predictive Control  

E-Print Network (OSTI)

. Index Terms--Control system design, fuzzy logic, model predic- tive control. I. INTRODUCTION MODELIEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 8, NO. 6, DECEMBER 2000 665 Fuzzy Model Predictive Control computational effort that may prohibit its on-line applications. In this paper, a fuzzy model predictive control

Huang, Yinlun

327

Explicit-Ready Nonlinear Model Predictive Control for Turbocharged Spark-Ignited Engines  

E-Print Network (OSTI)

Explicit-Ready Nonlinear Model Predictive Control for Turbocharged Spark- Ignited Engines J. El with saturated actuators. In this context, the need for model-based control laws is greater than ever with saturated actuators. In this paper, we evaluate the benefits of a nonlinear model predictive control (NMPC

Paris-Sud XI, Université de

328

Matchstick: a room-to-room thermal model for predicting indoor temperature from wireless sensor data  

Science Journals Connector (OSTI)

In this paper we present a room-to-room thermal model used to accurately predict temperatures in residential buildings. We evaluate the accuracy of this model with ground truth data from four occupied family homes (two in the UK and two in the US). The ... Keywords: forced air, home automation, prediction, radiators, thermal modelling, underfloor heating

Carl Ellis; Mike Hazas; James Scott

2013-04-01T23:59:59.000Z

329

Evaluation of Location-Specific Predictions by a Detailed Simulation Model of Aedes aegypti Populations  

E-Print Network (OSTI)

Evaluation of Location-Specific Predictions by a Detailed Simulation Model of Aedes aegypti Buster is a stochastic, spatially explicit simulation model of Aedes aegypti populations, designed of Location-Specific Predictions by a Detailed Simulation Model of Aedes aegypti Populations. PLoS ONE 6(7): e

Lloyd, Alun

330

Benchmark Tests for Numerical Weather Forecasts on Inexact Hardware  

Science Journals Connector (OSTI)

A reduction of computational cost would allow higher resolution in numerical weather predictions within the same budget for computation. This paper investigates two approaches that promise significant savings in computational cost: the use of ...

Peter D. Dben; T. N. Palmer

2014-10-01T23:59:59.000Z

331

Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures  

E-Print Network (OSTI)

predictive clothing insulation models based on outdoor airrange of the clothing insulation calculated for eachbuilding). Figure 8 Clothing insulation versus dress code [

Schiavon, Stefano; Lee, Kwang Ho

2012-01-01T23:59:59.000Z

332

E-Print Network 3.0 - area prediction models Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

for the area-specific model, and recalibrate confidence interval... predictive logis- tic regression ... Source: Montana, University of - Cooperative Wildlife Research Unit...

333

Modeling the Number of Ignitions Following an Earthquake: Developing Prediction Limits for Overdispersed Count Data  

Energy.gov (U.S. Department of Energy (DOE))

Modeling the Number of Ignitions Following an Earthquake: Developing Prediction Limits for Overdispersed Count Data Elizabeth J. Kelly and Raymond N. Tell

334

The Impact of IBM Cell Technology on the Programming Paradigm in the Context of Computer Systems for Climate and Weather Models  

SciTech Connect

The call for ever-increasing model resolutions and physical processes in climate and weather models demands a continual increase in computing power. The IBM Cell processor's order-of-magnitude peak performance increase over conventional processors makes it very attractive to fulfill this requirement. However, the Cell's characteristics, 256KB local memory per SPE and the new low-level communication mechanism, make it very challenging to port an application. As a trial, we selected the solar radiation component of the NASA GEOS-5 climate model, which: (1) is representative of column physics components (half the total computational time), (2) has an extremely high computational intensity: the ratio of computational load to main memory transfers, and (3) exhibits embarrassingly parallel column computations. In this paper, we converted the baseline code (single-precision Fortran) to C and ported it to an IBM BladeCenter QS20. For performance, we manually SIMDize four independent columns and include several unrolling optimizations. Our results show that when compared with the baseline implementation running on one core of Intel's Xeon Woodcrest, Dempsey, and Itanium2, the Cell is approximately 8.8x, 11.6x, and 12.8x faster, respectively. Our preliminary analysis shows that the Cell can also accelerate the dynamics component (~;;25percent total computational time). We believe these dramatic performance improvements make the Cell processor very competitive as an accelerator.

Zhou, Shujia; Duffy, Daniel; Clune, Thomas; Suarez, Max; Williams, Samuel; Halem, Milton

2009-01-10T23:59:59.000Z

335

Disentangling Oil Weathering Using GCGC. 2. Mass Transfer Calculations  

Science Journals Connector (OSTI)

Hydrocarbon mass transfers to the atmosphere and water column drive the early weathering of oil spills and also control the chemical exposures of many coastal wildlife species. ... Within days, wind and waves pushed the oil slick onto 150 km of Buzzards Bay shoreline (2). ... The model is suitable to join other modules for the prediction of the spill trajectory by advection due to winds and currents and sub-sea transport. ...

J. Samuel Arey; Robert K. Nelson; Desiree L. Plata; Christopher M. Reddy

2007-07-14T23:59:59.000Z

336

Ecological Modelling 120 (1999) 349358 Use of artificial neural networks for predicting rice crop  

E-Print Network (OSTI)

Ecological Modelling 120 (1999) 349­358 Use of artificial neural networks for predicting rice crop of artificial neural networks (ANN) in predicting presence or absence of flamingo damages from 11 variables B.V. All rights reserved. Keywords: Flamingos; Rice; Damage; Artificial neural networks; Prediction

Lek, Sovan

337

Weatherization Training for South Carolina's Muggy Weather | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Weatherization Training for South Carolina's Muggy Weather Weatherization Training for South Carolina's Muggy Weather Weatherization Training for South Carolina's Muggy Weather June 22, 2010 - 3:46pm Addthis Trident Technical College in Charleston, SC., has added another sustainability component to its curriculum: weatherization. A program already filled with renewable energy courses, TTC Green, now offers training and certification for technicians. This training, available for anyone from novices to the experienced, teaches how to weatherize the diverse array of homes in the muggy Charleston area to be more energy efficient. Two of the school's continuing education courses, both under three weeks in length, offer certification to individuals with weatherization backgrounds, giving them additional credentials and skills in the industry. TTC Green

338

Cold Weather Hazards  

NLE Websites -- All DOE Office Websites (Extended Search)

0 0 Cold Weather Hazards June 2010 NSA_cwh_Rev10.doc 1 Atmospheric Radiation Measurement Climate Research Facility/ North Slope of Alaska/Adjacent Arctic Ocean (ACRF/NSA/AAO) Cold Weather Hazards Winter Conditions at the North Slope of Alaska The North Slope of Alaska is north of the Arctic Circle at latitudes ranging from 69 to 72 degrees. Barrow, the largest town on the North Slope (pop. 4500), is the site of a National Weather Service Station, which has been active for several decades, so the climatology of the Alaska arctic coastal region as represented by Barrow is relatively well known. The North Slope is covered with ice and snow typically eight months of the year (October-May). During part of November, all of December, and most of January, the sun does not come above the horizon; this

339

Multi-scale modeling and evaluation of urban surface energy balance in the Phoenix metropolitan area  

Science Journals Connector (OSTI)

Physical mechanisms of incongruency between observations and Weather Research and Forecasting (WRF) model predictions are examined. Limitations of evaluation are constrained by: i) parameterizations of model physics, ii) parameterizations of input ...

S.R. Shaffer; W.T.L. Chow; M. Georgescu; P. Hyde; G.D. Jenerette; A. Mahalov; M. Moustaoui; B.L. Ruddell

340

Alternative Formulations for Incorporating Lateral Boundary Data into Limited-Area Models  

Science Journals Connector (OSTI)

Limited-area models (LAMs) use higher resolutions and more advanced parameterizations of physical processes than global numerical weather prediction models, but suffer from one additional source of errorthe lateral boundary condition (LBC). The ...

Martina Tudor; Piet Termonia

2010-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Weatherization and Intergovernmental Program: News  

NLE Websites -- All DOE Office Websites (Extended Search)

News News Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: News to someone by E-mail Share Weatherization and Intergovernmental Program: News on Facebook Tweet about Weatherization and Intergovernmental Program: News on Twitter Bookmark Weatherization and Intergovernmental Program: News on Google Bookmark Weatherization and Intergovernmental Program: News on Delicious Rank Weatherization and Intergovernmental Program: News on Digg Find More places to share Weatherization and Intergovernmental Program: News on AddThis.com... News December 9, 2013 Improving Energy Efficiency and Creating Jobs Through Weatherization Since 2009, when the Energy Department seized a major opportunity to invest $5 billion through our Weatherization Assistance Program (WAP) to stimulate

342

Prediction of demand trends of coking coal in China based on grey linear regression composition model  

Science Journals Connector (OSTI)

The scarce of coking coal resources in China results in its short supply. By establishing a grey linear regression composition model, this paper has greatly improved the inadequacy of grey system prediction model and regression analysis method in trend prediction and finished the prediction of demand trends of coking coal in China with this model. As result of the prediction, it is estimated that in the next decade, the demand for coking coal in China will experience a growth trend; China's demand for coking coal will reach more than 1.535 billion tons by 2015, reach the maximum of 1.639 billion tons by 2020 and drop in 2025.

Hai-Dong Zhou; Qiang Wu; Min Fang; Zhong-Bao Ren; Li-Fei Jin

2013-01-01T23:59:59.000Z

343

A simple model to predict train-induced vibration: theoretical formulation and experimental validation  

SciTech Connect

No suitable handy tool is available to predict train-induced vibration on environmental impact assessment. A simple prediction model is proposed which has been calibrated for high speed trains. The model input data are train characteristics, train speed and track properties; model output data are soil time-averaged velocity and velocity level. Model results have been compared with numerous vibration data retrieved from measurement campaigns led along the most important high-speed European rail tracks. Model performances have been tested by comparing measured and predicted vibration values.

Rossi, Federico; Nicolini, Andrea

2003-05-01T23:59:59.000Z

344

Hydrodynamic Model with Binary Particle Diameters to Predict Axial Voidage Profile in a CFB Combustor  

Science Journals Connector (OSTI)

A hydrodynamic model with binary particle diameters was developed to better predict axial voidage profile in a CFB combustor. In the model, the CFB is regarded as a superposition of two ... field data of voidage ...

J. J. Li; H. Zhang; H. R. Yang; Y. X. Wu

2010-01-01T23:59:59.000Z

345

Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction  

Science Journals Connector (OSTI)

A method referred to as scale-selective data assimilation (SSDA) is designed to inject the large-scale components of the atmospheric circulation from a global model into a regional model to improve regional climate simulations and predictions. ...

Shiqiu Peng; Lian Xie; Bin Liu; Fredrick Semazzi

2010-04-01T23:59:59.000Z

346

Selecting Building Predictive Control Based on Model Uncertainty  

E-Print Network (OSTI)

S. Pr?vara et al. Building Modeling as a Crucial Part forThe details of building thermal modeling and estimation ofModeling and Optimal Control Algorithm Design for HVAC Systems in Energy Efficient Buildings.

Maasoumy, Mehdi

2014-01-01T23:59:59.000Z

347

StatREC: a graphical user interface tool for visual hypothesis testing of cost prediction models  

Science Journals Connector (OSTI)

Background: During the previous decades there has been noted a significantly increased research interest on the construction of prediction models for accurate estimation of software cost. Despite the development of sophisticated methodologies, ... Keywords: REC curves, graphical comparison, graphical user interface, permutation test, prediction models, software cost estimation

Nikolaos Mittas; Ioannis Mamalikidis; Lefteris Angelis

2012-09-01T23:59:59.000Z

348

Genetic Algorithm for Predicting Protein Folding in the 2D HP Model  

E-Print Network (OSTI)

Genetic Algorithm for Predicting Protein Folding in the 2D HP Model A Parameter Tuning Case Study of a protein, predicting its tertiary structure is known as the protein folding problem. This problem has been. The protein folding problem in the HP model is to find a conformation (a folded sequence) with the lowest

Emmerich, Michael

349

Interval Methods for Sensitivity-Based Model-Predictive Control of  

E-Print Network (OSTI)

Interval Methods for Sensitivity-Based Model-Predictive Control of Solid Oxide Fuel Cell Systems and experiment for the thermal subprocess of a high-temperature solid oxide fuel cell system. Keywords: Interval analysis, model-predictive control, sensitivity analysis, tracking control, solid oxide fuel cells AMS

Kearfott, R. Baker

350

Letters: Neural network based hybrid computing model for wind speed prediction  

Science Journals Connector (OSTI)

This paper proposes a Neural Network based hybrid computing model for wind speed prediction in renewable energy systems. Wind energy is one of the renewable energy sources which lower the cost of electricity production. Due to the fluctuation and nonlinearity ... Keywords: Hybrid Model, Multilayer Perceptron, Neural Networks, Self Organizing Maps, Wind Speed Prediction

K. Gnana Sheela; S. N. Deepa

2013-12-01T23:59:59.000Z

351

Fusion of artificial neural network and fuzzy system for short term weather forecasting  

Science Journals Connector (OSTI)

Weather forecasting is the challenging problem for the modern life. Some researches have been conducted to design the accurate prediction in some past years but still it is incomplete. In this paper, we propose the system of short period weather forecasting designed based on the current weather parameter consisted of temperature, humidity, air pressure, wind direction and speed and present weather condition. This system uses fusion of feed forward artificial neural network (ANN) and fuzzy system architecture as main algorithm of weather prediction, Lavendberg-Marquadt as learning algorithm and fuzzy C-mean (FCM) as clustering method in initialisation step. Based on the system architecture, this method can predict the weather continuously despite the change of unpredictable patterns. Furthermore, this system has clear reasoning logic on the fuzzy logic instead of its adaptation ability on its neural network architecture. The performance of proposed system has accuracy up to 78% for validity among three possible weathers, i.e., shiny, cloudy and rainy.

Budiman Putra; Bagus Tris Atmaja; Syahroni Hidayat

2012-01-01T23:59:59.000Z

352

Development and Evaluation of a Coupled Photosynthesis-Based Gas Exchange Evapotranspiration Model (GEM) for Mesoscale Weather Forecasting Applications  

E-Print Network (OSTI)

Development and Evaluation of a Coupled Photosynthesis-Based Gas Exchange Evapotranspiration Model with a photosynthesis-based scheme and still achieve dynamically consistent results. To demonstrate this transformative potential, the authors developed and coupled a photosynthesis, gas exchange­based surface evapotranspiration

Niyogi, Dev

353

Weatherization Works!: Weatherization Assistance Program Close-Up Fact Sheet  

SciTech Connect

The United States demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

354

Intelligent weather agent for aircraft severe weather avoidance  

E-Print Network (OSTI)

Severe weather conditions pose a large threat to the safety of aircraft, since they are responsible for a large percentage of aviation related accidents. With the advent of the free flight environment, the exigency for an autonomous severe weather...

Bokadia, Sangeeta

2012-06-07T23:59:59.000Z

355

Proceedings: US Hydrographic Conference 2013, New Orleans, LA, 25-28 March 2013 Oceanographic Weather Maps: Using Oceanographic Models to Improve Seabed  

E-Print Network (OSTI)

: · Designing survey layout and prescribing line spacing and/or orientation. · Determining when to conduct the operation based on traffic, weather, and other environmental factors. · Selecting calibration sites

New Hampshire, University of

356

Predictive Modeling of Large-Scale Commercial Water Desalination Plants: Data-Based Neural Network and Model-Based Process  

E-Print Network (OSTI)

Predictive Modeling of Large-Scale Commercial Water Desalination Plants: Data-Based Neural Network for developing predictive models for large-scale commercial water desalination plants by (1) a data (MSF) and reverse osmosis (RO) desalination plants in the world. Our resulting neural network

Liu, Y. A.

357

Today's Forecast: Improved Wind Predictions | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

358

Today's Forecast: Improved Wind Predictions | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

359

Radial forging force prediction through MR, ANN, and ANFIS models  

Science Journals Connector (OSTI)

The application of finite element method and intelligent systems techniques to predict the applied force during the radial forging process is studied. Radial forging is a unique process used for the precision forging of round and tubular components, ... Keywords: ANFIS, ANN, Forging force, MR, Radial forging

A. Azari, M. Poursina, D. Poursina

2014-09-01T23:59:59.000Z

360

Weatherized in November  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

November November 2010 Total Number of Homes Weatherized through November 2010 ***Total Number of Homes Weatherized through November 2010 Calendar Year 2009 November 2010 U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By State in November 2010 (Calendar Year) November 2010 (Recovery Act) November 2010 (Recovery Act) Calendar Year 2009 - November 2010 (Recovery Act + Annual Program Funding) Alabama 262 3,433 4,141 1 Alaska 14 113 1,646 Arizona 326 3,420 4,581 Arkansas 248 3,162 4,670 California 1,495 21,185 23,153 Colorado 414 6,317 11,819 , , Connecticut 2,363 3,432 2 Delaware 940 1,110 District of Columbia 30 614 872 Florida 643 7,446 8,522 Georgia 580 6,780 7,495 Hawaii 18 398 766 Idaho 212 3,552 5,482 Illi i 1 674 18 862 26 340 Illinois 1,674 18,862 26,340

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Weather and Joints  

NLE Websites -- All DOE Office Websites (Extended Search)

Weather and Joints Weather and Joints Name: Brittany Location: N/A Country: N/A Date: N/A Question: Why do people feel the weather changin in their joints? Is it just a superstition? Replies: People feel weather changes in their bodies because storm systems are accompanied by lower air pressure. When a storm system is approaching the barometric pressure or air pressure will drop. Inside the body is air pressure also. The pressure inside the body is approximately 15 lbs per square inch. Normal air pressure on the outside is approximately the same. When both numbers are equal most people don't feel anything. However, when the low pressure system approaches or the air pressure drops, the pressure on the inside of the body is greater than outside and that air on the inside tries to get out because air flows from high pressure to low pressure. This causes swelling and discomfort in some people's joints, especially in the elderly or people who have suffered injuries to those areas (those areas are weakened somewhat due to the injury and less resistant to the changes in pressure).

362

Weatherized in October  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

October October 2010 Total Number of Homes Weatherized through October 2010 ***Total Number of Homes Weatherized through October 2010 Calendar Year 2009 October 2010 U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By State in October 2010 (Calendar Year) October 2010 (Recovery Act) October 2010 (Recovery Act) Calendar Year 2009 - October 2010 (Recovery Act + Annual Program Funding) Alabama 313 3,171 3,879 1 Alaska 16 99 1,632 Arizona 279 3,094 4,255 Arkansas 215 2,914 4,422 California 1,880 19,690 21,658 Colorado 451 5,903 11,405 , , Connecticut 367 2,363 3,432 2 Delaware 940 1,110 District of Columbia 102 584 842 Florida 725 6,803 7,879 Georgia 698 6,200 6,915 Hawaii 20 380 748 Idaho 198 3,340 5,270 Illi i 1 973 17 188 24 666 Illinois 1,973 17,188 24,666 Indiana

363

Observing, modeling and predicting the effects of solar radio bursts on radio communications  

Science Journals Connector (OSTI)

The Sun is a source of broadband radio noise which can reach significantly high levels during outbursts associated with the time evolution of the activity cycle. The statistics point out that the maximum occurrence frequency and intensity of solar radio bursts (SRBs) are observed in the proximity of the activity maximum but relevant phenomena can occur also in the raising and declining phases of the cycle. Both theoretical estimations based on extensive statistical analyses carried out in recent years and direct observations performed in the past solar activity cycle indicate that solar radio bursts can interfere wireless communications as well as Global Navigation Satellite Systems (GNSS). In this work we briefly review the theoretical basis and the experimental evidences to date and we show the effectiveness of fast multichannel solar radiopolarimeters like the Trieste Solar Radio System in monitoring and predicting solar radio noise increase in the framework of Space Weather applications.

Mauro Messerotti

2008-01-01T23:59:59.000Z

364

6962 weather-resistant [adj  

Science Journals Connector (OSTI)

constr. (Descriptive term applied to surfaces of walls, roofs, pavements, wood, etc. exposed to the weather, which have powers of resistance to effects of weather; ? nonrotting [US]/non...

2010-01-01T23:59:59.000Z

365

Weatherization Assistance Program Allocation Formula  

Energy.gov (U.S. Department of Energy (DOE))

Weatherization Assistance Program (WAP) uses and allocation formula to calculate the weatherization grants to the states based on the amount of funding Congress appropriates to the program in a given year.

366

A Guide to Weather Satellites  

Science Journals Connector (OSTI)

Whenever there is a live weather satellite image (amateur radio enthusiasts use the term ... comment referred to amateur radio hams discussing the weather around the world in the early 1960s, ... could now be mad...

Lawrence Harris

2010-01-01T23:59:59.000Z

367

The science of space weather  

Science Journals Connector (OSTI)

...magnetic reconnection|space weather| 1. Introduction Fifty...31 January 1958, the satellite Explorer 1 was launched...et al. 2005). (e) Satellite anomalies Space weather can cause a variety of satellite anomalies such as surface...

2008-01-01T23:59:59.000Z

368

Abstract--Eventually, prediction of transformer thermal performance for dynamic loading will be made using models  

E-Print Network (OSTI)

1 Abstract--Eventually, prediction of transformer thermal performance for dynamic loading will be made using models distilled from measure data, rather than models derived from transformer heat for measuring the acceptability of transformer thermal models. For a model to be acceptable, it must have

369

Weatherization Assistance Program Success Stories  

Energy.gov (U.S. Department of Energy (DOE))

Office of Energy Efficiency and Renewable Energy (EERE) success stories and blog entries for the Weatherization Assistance Program (WAP).

370

The Weatherization Training program at Pennsylvania College | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

The Weatherization Training program at Pennsylvania College The Weatherization Training program at Pennsylvania College The Weatherization Training program at Pennsylvania College Addthis Description A look into some of the remarkable work being done in the Weatherization Training program at Pennsylvania College. Penn College's program has served as the model for six other training centers in Pennsylvania alone. Speakers Jeff Melville, Jack Wilson, John Manz, Kirk Gannett, Franzenia Smith, Duration 4:07 Topic Home Weatherization Education & Training Credit Energy Department Video JEFF MEVILLE: I'm Jeff Meville. I live in Montgomery, which is local to the area, about 10 miles south of here. I own a company called Jenpro (sp) Incorporated. We are a subcontractor in the weatherization business. We've got four guys right now working 40 hours a week plus,

371

Weatherization Innovation Pilot Program (WIPP): Technical Assistance Summary  

SciTech Connect

The U.S. Department of Energy (DOE) Energy Efficiency and Renewable Energy (EERE) Weatherization and Intergovernmental Programs Office (WIPO) launched the Weatherization Innovation Pilot Program (WIPP) to accelerate innovations in whole-house weatherization and advance DOE's goal of increasing the energy efficiency and health and safety of low-income residences without the utilization of additional taxpayer funding. Sixteen WIPP grantees were awarded a total of $30 million in Weatherization Assistance Program (WAP) funds in September 2010. These projects focused on: including nontraditional partners in weatherization service delivery; leveraging significant non-federal funding; and improving the effectiveness of low-income weatherization through the use of new materials, technologies, behavior-change models, and processes.

Hollander, A.

2014-09-01T23:59:59.000Z

372

States Celebrate National Weatherization Day  

Energy.gov (U.S. Department of Energy (DOE))

States across the country celebrated National Weatherization Day October 30 with formal proclamations from governors and special events to recognize the importance of weatherization and the dedication of local weatherization service providers, state and local agencies, and researchers dedicated to improving the energy efficiency of American homes.

373

Release of aged contaminants from weathered sediments: Effects of sorbate speciation on scaling of reactive transport  

SciTech Connect

Hanford sediments impacted by hyperalkaline high level radioactive waste have undergone incongruent silicate mineral weathering concurrent with contaminant uptake. In this project, we studied the impact of background pore water (BPW) on strontium, cesium and iodine desorption and transport in Hanford sediments that were experimentally weathered by contact with simulated hyperalkaline tank waste leachate (STWL) solutions. Using those lab-weathered Hanford sediments (HS) and model precipitates formed during nucleation from homogeneous STWL solutions (HN), we (i) provided thorough characterization of reaction products over a matrix of field-relevant gradients in contaminant concentration, partial pressure of carbon dioxide, and reaction time; (ii) improved molecular-scale understanding of how sorbate speciation controls contaminant desorption from weathered sediments upon removal of caustic sources; and (iii) developed a mechanistic, predictive model of meso- to field-scale contaminant reactive transport under these conditions. In this final report, we provide detailed descriptions of our results from this three-year study, completed in 2012 following a one-year no cost extension.

Chorover, Jon; Perdrial, Nico; Mueller, Karl; Strepka, Caleb; Oƒ ƒ ‚ ¢ƒ ‚ ‚ € ƒ ‚ ‚ ™ Day, Peggy; Rivera, Nelson; Um, Wooyong; Chang, Hyun-Shik; Steefel, Carl; Thompson, Aaron

2012-11-05T23:59:59.000Z

374

Weatherization Training for South Carolina's Muggy Weather | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Training for South Carolina's Muggy Weather Training for South Carolina's Muggy Weather Weatherization Training for South Carolina's Muggy Weather June 22, 2010 - 3:46pm Addthis Trident Technical College in Charleston, SC., has added another sustainability component to its curriculum: weatherization. A program already filled with renewable energy courses, TTC Green, now offers training and certification for technicians. This training, available for anyone from novices to the experienced, teaches how to weatherize the diverse array of homes in the muggy Charleston area to be more energy efficient. Two of the school's continuing education courses, both under three weeks in length, offer certification to individuals with weatherization backgrounds, giving them additional credentials and skills in the industry. TTC Green

375

Comparison of Predictive Models for Photovoltaic Module Performance: Preprint  

SciTech Connect

This paper examines three models used to estimate the performance of photovoltaic (PV) modules when the irradiances and PV cell temperatures are known. The results presented here were obtained by comparing modeled and measured maximum power (Pm) for PV modules that rely on different technologies.

Marion, B.

2008-05-01T23:59:59.000Z

376

Putting Nonlinear Model Predictive Control Bjarne A. Foss1  

E-Print Network (OSTI)

estimation. Finally, we consider the design of the optimization problem itself and implementation issues. 1 for optimization of suspension PVC polymerization processes has been implemented on two large (140 m3) autoclaves: It contains a rather detailed nonlinear model of the polymerization reactor. The reactor model includes

Foss, Bjarne A.

377

Energy price prediction multi-step ahead using hybrid model in the Brazilian market  

Science Journals Connector (OSTI)

Abstract This paper proposes a new hybrid approach for short-term energy price prediction. This approach combines auto-regressive integrated moving average (ARIMA) and neural network (NN) models in a cascaded structure and uses explanatory variables. A two step procedure is applied. In the first step, the selected explanatory variables are predicted. In the second one, the energy prices are forecasted by using the explanatory variables prediction. Further, the proposed model considers a multi-step ahead price prediction (12 weeks-ahead) and is applied to Brazilian market, which adopts a cost-based centralized dispatch with unique characteristics of price behavior. The results show good ability to predict spikes and satisfactory accuracy according to error measures and tail loss test when compared with traditional techniques. Thus, the model can be an attractive tool to mitigate risks in purchasing power.

Jos C. Reston Filho; Carolina de M. Affonso; Roberto C.L. de Oliveira

2014-01-01T23:59:59.000Z

378

ORNL Weatherization Program Evaluation | Open Energy Information  

Open Energy Info (EERE)

ORNL Weatherization Program Evaluation ORNL Weatherization Program Evaluation (Redirected from Weatherization Program Evaluation) Jump to: navigation, search Tool Summary Name: Weatherization Program Evaluation Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Buildings Topics: Policies/deployment programs Website: weatherization.ornl.gov/WeatherizationProgramEvaluations.htm References: Weatherization Program Evaluation [1] Logo: Weatherization Program Evaluation Oak Ridge National Laboratory provides weatherization program evaluations as part of the U.S. Department of Energy's Weatherization Assistance Program. This evaluation program is also available to international organizations. This article is a stub. You can help OpenEI by expanding it. Oak Ridge National Laboratory provides weatherization program evaluations

379

Connecticut's Health Impact Study Rapidly Increasing Weatherization...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

of Weatherization Assistance Program Technical Assistance Center Donna Hawkins Technology Transfer Specialist, Weatherization Assistance Program Floris Weston Project Officer,...

380

Accelerating Clean Energy Adoption (Fact Sheet), Weatherization...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Accelerating Clean Energy Adoption (Fact Sheet), Weatherization and Intergovernmental Program (WIP) Accelerating Clean Energy Adoption (Fact Sheet), Weatherization and...

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Predicting the net carbon exchanges of crop rotations in Europe with an agro-ecosystem model  

E-Print Network (OSTI)

Predicting the net carbon exchanges of crop rotations in Europe with an agro-ecosystem model S.Lehuger@art.admin.ch. Fax: (+41) 44 377 72 01. Phone: (+41) 44 377 75 13. hal-00414342,version2-1Sep2010 #12;Abstract Carbon and measuring land-atmosphere carbon exchanges from arable lands are important tasks to predict the influence

Boyer, Edmond

382

Towards Accurate and Practical Predictive Models of Active-Vision-Based Visual Search  

E-Print Network (OSTI)

which permit increasingly realistic and accurate predictions for visual human-computer interaction tasks not practical. For as long as human-computer interaction has been studied, researchers have been working@cs.uoregon.edu ABSTRACT Being able to predict the performance of interface designs using models of human cognition

Hornof, Anthony

383

Predictive models for power dissipation in optical transceivers  

E-Print Network (OSTI)

Power dissipation in optical networks is a significant problem for the telecommunications industry. The optical transceiver was selected as a representative device of the network, and a component based power model is ...

Butler, Katherine, 1981-

2004-01-01T23:59:59.000Z

384

Development of Chemical Model to Predict the Interactions between...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

- TOUGH family codes have been widely used in modeling EGS and CCS processes. The fracture-matrix feature can be handled through the MINC module; however, at considerable cost....

385

Understanding space weather to shield society  

E-Print Network (OSTI)

, initially prioritizing post-event solar eruption modeling to develop multi-day forecasts of geomagnetic, involving the coupling of the solar wind disturbances to internal magnetospheric processes agencies and communities! i) Implement open space-weather data and information policy;! j) Provide access

Schrijver, Karel

386

A support vector regression model for predicting tunnel boring machine penetration rates  

Science Journals Connector (OSTI)

Abstract With widespread increasing applications of mechanized tunneling in almost all ground conditions, prediction of tunnel boring machine (TBM) performance is required for time planning, cost control and choice of excavation method in order to make tunneling economical. Penetration rate is a principal measure of full-face TBM performance and is used to evaluate the feasibility of the machine and predict advance rate of excavation. This research aims at developing a regression model to predict penetration rate of TBM in hard rock conditions based on a new artificial intelligence (AI) algorithm namely support vector regression (SVR). For this purpose, the Queens Water Tunnel, in New York City, was selected as a case study to test the proposed model. In order to find out the optimum values of the parameters and prevent over-fitting, 80% of the total data were selected randomly for training set and the rest were kept for testing the model. According to the results, it can be said that the proposed model is a useful and reliable means to predict TBM penetration rate provided that a suitable dataset exists. From the prediction results of training and testing samples, the squared correlation coefficient (R2) between the observed and predicted values of the proposed model was obtained 0.99 and 0.95, respectively, which shows a high conformity between predicted and actual penetration rate.

Satar Mahdevari; Kourosh Shahriar; Saffet Yagiz; Mohsen Akbarpour Shirazi

2014-01-01T23:59:59.000Z

387

Model predictive control with application to real-time hardware and guided parafoil  

E-Print Network (OSTI)

Model Predictive Control (MPC) is a control strategy that is suitable for optimizing the performance of constrained systems. Constraints are present in all control systems due to the physical and environmental limits on ...

Alaniz, Abran, 1980-

2004-01-01T23:59:59.000Z

388

Connecting Peptide Physicochemical and Antimicrobial Properties by a Rational Prediction Model  

E-Print Network (OSTI)

Connecting Peptide Physicochemical and Antimicrobial Properties by a Rational Prediction Model Marc network approach, based on the AMP's physicochemical characteristics, that is able not only to identify active peptides but also to assess its antimicrobial potency. The physicochemical properties considered

Pompeu Fabra, Universitat

389

Spectral barotropic model for the prediction of synoptic currents in the open part of the ocean  

Science Journals Connector (OSTI)

We consider a quasigeostrophic spectral model used for the prediction of synoptic currents in the barotropic ocean. The spectral method is based on the expansion of the current function in a double series in cosi...

I. I. Karpatovich

2006-07-01T23:59:59.000Z

390

Model predictive controller design for the dynamic positioning system of a semi-submersible platform  

Science Journals Connector (OSTI)

This paper researches how to apply the advanced control technology of model predictive control (MPC) to the design of the dynamic positioning system (DPS) of a semi-submersible platform. First, a linear low-frequ...

Hongli Chen; Lei Wan; Fang Wang

2012-09-01T23:59:59.000Z

391

Use of Rough Sets and Spectral Data for Building Predictive Models of Reaction Rate Constants  

Science Journals Connector (OSTI)

A model for predicting the log of the rate constants for alkaline hydrolysis of organic esters has been developed with the use of gas-phase mid-infrared library spectra and a...

Collette, Timothy W; Szladow, Adam J

1994-01-01T23:59:59.000Z

392

Comparisons of Transport and Dispersion Model Predictions of the URBAN 2000 Field Experiment  

Science Journals Connector (OSTI)

The tracer releases of the URBAN 2000 urban tracer and meteorological field experiment conducted in Salt Lake City, Utah, in October 2000 provided a wealth of data for comparison with the predictions of transport and dispersion models. ...

Steve Warner; Nathan Platt; James F. Heagy

2004-06-01T23:59:59.000Z

393

Artificial Neural Networks and Hidden Markov Models for Predicting the Protein Structures: The Secondary Structure  

E-Print Network (OSTI)

1 Artificial Neural Networks and Hidden Markov Models for Predicting the Protein Structures advice on the development of this project #12;2 Artificial Neural Networks and Hidden Markov Models learning methods: artificial neural networks (ANN) and hidden Markov models (HMM) (Rost 2002; Karplus et al

394

Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,*  

E-Print Network (OSTI)

1 Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,* , Kisup Leeb building, but cannot provide detailed flow information in a room. The zonal model can be useful when a user ventilation systems for buildings requires a suitable model to assess system performance. The performance can

Chen, Qingyan "Yan"

395

Validated Model-Based Performance Prediction of Multi-Core Software Routers  

E-Print Network (OSTI)

Terms--measurement, simulation, intra-node model, re- source contention, model validation, software components. Leveraged by high flexibility and low costs of software developments in comparison with hardwareValidated Model-Based Performance Prediction of Multi-Core Software Routers Torsten Meyer1

Carle, Georg

396

Flow Control of Real Time Multimedia Applications Using Model Predictive Control with a Feed Forward Term  

E-Print Network (OSTI)

................................................................... 20 3.2 ARX model structure ................................................................................. 21 3.3 One-step-ahead prediction of accumulation signal in 3% CLR network using ARX model designed by Bhattacharya[9...] ........................... 27 3.4 One-step-ahead estimation of accumulation signal in 3% CLR network using the proposed ARX model. ......................................... 28 4.1 Schematic of MPC strategy...

Duong, Thien Chi

2011-02-22T23:59:59.000Z

397

Modeling, Analysis, Predictions, and Projections Email: oar.cpo.mapp@noaa.gov  

E-Print Network (OSTI)

Earth system models to better simulate the climate system? Can we improve intraseasonal to seasonal mission, MAPP supports the development of advanced Earth system models that can predict climate variations, and the external research community. MAPP Objectives · Improve Earth system models · Achieve an integrated Earth

398

Radiation Environment Assimilation Model (DREAM).  

NLE Websites -- All DOE Office Websites (Extended Search)

DREAM tool increases space weather DREAM tool increases space weather predictions April 13, 2012 Predicting space weather improved by new DREAM modeling tool Earth's radiation belts can now be studied with a new modeling tool called Dynamic Radiation Environment Assimilation Model (DREAM). Researchers in LANL's Space Science and Applications (ISR-1) group are developing DREAM and described its current capabilities and applications in an article published in Space Weather, a journal of the American Geophysical Union. - 2 - Space environment and its hazards The space environment poses a number of radiation hazards to space systems and their occupants. Relativistic electrons, the dominant source of the radiation dose to spacecraft traveling in the outer radiation belts (3-7 Earth radii), have an electron flux

399

A mathematical model to predict leaching of hazardous inorganic wastes from solidified/stabilized waste forms  

E-Print Network (OSTI)

A MATHEMATICAL MODEL TO PREDICT LEACHING OF HAZARDOUS INORGANIC WASTES FROM SOLIDIFIED/STABILIZED WASTE FORMS A Thesis by KRISHAN SABHARWAL Submitted to the Office of Graduate Studies of Texas AkM University in partial fulfillment...A MATHEMATICAL MODEL TO PREDICT LEACHING OF HAZARDOUS INORGANIC WASTES FROM SOLIDIFIED/STABILIZED WASTE FORMS A Thesis by KRISHAN SABHARWAL Submitted to the Office of Graduate Studies of Texas AkM University in partial fulfillment...

Sabharwal, Krishan

2012-06-07T23:59:59.000Z

400

NETL: Predictive Modeling and Evaluation - Evaluation of the Emission,  

NLE Websites -- All DOE Office Websites (Extended Search)

Evaluation of the Emission, Transport, and Deposition of Mercury, Arsenic, and Fine Particulate Matter from Coal Based Power Plants in the Ohio River Valley Region Evaluation of the Emission, Transport, and Deposition of Mercury, Arsenic, and Fine Particulate Matter from Coal Based Power Plants in the Ohio River Valley Region Ohio University, in collaboration with CONSOL Energy, Advanced Technology Systems, Inc (ATS) and Atmospheric Environmental Research, Inc. (AER) as subcontractors will evaluate the impact of emissions from coal-fired power plants in the Ohio River Valley region as they relate to the transport and deposition of mercury, arsenic, and associated fine particulate matter. This evaluation will involve two interrelated areas of effort: regional-scale modeling analysis and ambient air monitoring. The scope of work for the modeling analysis will include (1) development of updated inventories of mercury and arsenic emissions from coal plants and other important sources in the modeled domain; (2) adapting an existing 3-D atmospheric chemical transport model to incorporate recent advancements in the understanding of mercury transformations in the atmosphere; (3) analyses of the flux of Hg0, RGM, arsenic, and fine particulate matter in the different sectors of the study region to identify key transport mechanisms; (4) comparison of cross correlations between species from the model results to observations in order to evaluate characteristics of specific air masses associated with long-range transport from a specified source region; and (5) evaluation of the sensitivity of these correlations to emissions from regions along the transport path. This will be accomplished by multiple model runs with emissions simulations switched on and off from the various source regions.

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Bayesian System Identification and Response Predictions Robust to Modeling Uncertainty  

E-Print Network (OSTI)

uncertainties, both prior (e.g. design based on reliability or life-cycle cost optimization), & posterior (e reliability of treating excitation uncertainty under wind and earthquakes (random vibrations, stochastic in the development and use of Bayesian methods in the last decade or so · Allows analysis that is robust to modeling

Beck, James L.

402

Lurking Pathway Prediction And Pathway ODE Model Dynamic Analysis  

E-Print Network (OSTI)

regulated proteins in the transduction pro- cess. And by modeling the CCL2 pathway in MTB infected cells, J N K , cM Y C and P LC showed as the most significant modules. Hence, the drug treatments inhibit- ing J N K , cM Y C and P LC would effectively...

Zhang, Rengjing

2013-11-18T23:59:59.000Z

403

Should we believe model predictions of future climate change?  

E-Print Network (OSTI)

equations are derived from first principles (e.g. equations of motion, and conservation of energy, mass deficiencies in the attempt to provide useful information to the public and policy-makers. Keywords: climate to communicate what we know and what is uncertain about future climate change? Why are climate model projections

Fischlin, Andreas

404

Design of spatial experiments: Model fitting and prediction  

SciTech Connect

The main objective of the paper is to describe and develop model oriented methods and algorithms for the design of spatial experiments. Unlike many other publications in this area, the approach proposed here is essentially based on the ideas of convex design theory.

Fedorov, V.V.

1996-03-01T23:59:59.000Z

405

An electrochemical model for prediction of CO{sub 2} corrosion  

SciTech Connect

A predictive model of CO{sub 2} corrosion, based on modelling of individual electrochemical reactions occurring in a water CO{sub 2} system, is presented. The model takes into account the following electrochemical reactions: hydrogen ion reduction, carbonic acid reduction, direct water reduction, oxygen reduction and anodic dissolution of iron. The required electrochemical parameters in the model such as: exchange current densities and Tafel slopes for different reactions are determined from experiments conducted in glass cells. In those experiments the corrosion process was monitored with the following electrochemical measuring techniques: polarization resistance, potentiodynamic sweep, electrochemical impedance in addition to weight loss measurements. The model has been calibrated for two different mild steels over a wide range of parameters: t = 20--80C, pH 3--6, p(CO{sub 2})= 0--1 bar, {omega} = 0--5,000 rpm. In its present stage of development the model applies for the case of uniform corrosion with no protective films present. Performance of the model is validated by comparing the predictions with results from independent loop experiments. The predictions made with the present model were also compared with performance of other CO{sub 2} corrosion prediction models. Compared to the previous largely empirical models, the present model gives a much clearer picture of the corrosion mechanisms and of the effect of key parameters.

Nesic, S.; Postlethwaite, J. [Inst. for Energiteknikk, Kjeller (Norway); Olsen, S. [Statoil, Trondheim (Norway)

1995-10-01T23:59:59.000Z

406

Predictions from an Ising-like Statistical Mechanical Model on the Dynamic and Thermodynamic Effects of Protein Surface Electrostatics  

Science Journals Connector (OSTI)

Predictions from an Ising-like Statistical Mechanical Model on the Dynamic and Thermodynamic Effects of Protein Surface Electrostatics ...

Athi N. Naganathan

2012-10-05T23:59:59.000Z

407

Predictive Models of Biohydrogen and Biomethane Production Based on the Compositional and Structural Features of Lignocellulosic Materials  

Science Journals Connector (OSTI)

Predictive Models of Biohydrogen and Biomethane Production Based on the Compositional and Structural Features of Lignocellulosic Materials ...

Florian Monlau; Cecilia Sambusiti; Abdellatif Barakat; Xin Mei Guo; Eric Latrille; Eric Trably; Jean-Philippe Steyer; Hlne Carrere

2012-10-10T23:59:59.000Z

408

Passive acoustics embedded on glidersWeather observation through ambient noise  

Science Journals Connector (OSTI)

Underwater gliders can provide high resolution water temperature and salinity profiles. Being able to associate them with a surface weather conditions estimation would allow to better study sea-air interactions. Since in-situ observations of the marine meteorological parameters are difficult the development of a glider embedded weather sensor has been studied based on the WOTAN approach. In the 130 kHz frequency range the background underwater noise is dominated by wind generated noise. Focusing on the sound pressure level at 5 8 10 and 20 kHz allows to estimate the wind speed. Thus deploying a glider with an embedded hydrophone gives an access to the surface weather conditions around its position. We have deployed gliders in the Mediterranean sea with passive acoustic monitoring devices onboard. Four months of data have been recorded. Wind speed estimations have been confronted to weather buoys observations and atmospheric models predictions. Wind estimates have been obtained with a ~2 m/s error. A specific emphasis has been placed on the robustness of the processing through multi frequencies analysis and depth induced attenuation correction. A downscaling study has been performed on the acoustic sampling protocol in order to meet the low energy consumption glider standards for a future real time embedded processing. The glider generated noise and its vertical movement are not perturbing the estimation. Moreover the surface behavior of the Slocum gliders allows an estimation of the wind direction.

2014-01-01T23:59:59.000Z

409

Advanced Models and Controls for Prediction and Extension of Battery Lifetime (Presentation)  

SciTech Connect

Predictive models of capacity and power fade must consider a multiplicity of degradation modes experienced by Li-ion batteries in the automotive environment. Lacking accurate models and tests, lifetime uncertainty must presently be absorbed by overdesign and excess warranty costs. To reduce these costs and extend life, degradation models are under development that predict lifetime more accurately and with less test data. The lifetime models provide engineering feedback for cell, pack and system designs and are being incorporated into real-time control strategies.

Smith, K.; Wood, E.; Santhanagopalan, S.; Kim, G.; Pesaran, A.

2014-02-01T23:59:59.000Z

410

A soil moisture availability model for crop stress prediction  

E-Print Network (OSTI)

is composed of three major components, which are, a) calcul ation of evapotranspiration, b) infiltration of moisture into the soil, c) redistribution of the soil moisture. Other edaphic models have been developed by Hill [1974], Bai er and Robertson... inputs could result in the development of moist layers in the lower soil layer that would not be accounted for if the moisture were uniformly redistributed. As the cycle progesses, redistribution and moisture depletion do occur, until there 1s less...

Gay, Roger Franklin

1983-01-01T23:59:59.000Z

411

ORNL Weatherization Program Evaluation | Open Energy Information  

Open Energy Info (EERE)

ORNL Weatherization Program Evaluation ORNL Weatherization Program Evaluation Jump to: navigation, search Tool Summary Name: Weatherization Program Evaluation Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Buildings Topics: Policies/deployment programs Website: weatherization.ornl.gov/WeatherizationProgramEvaluations.htm References: Weatherization Program Evaluation [1] Logo: Weatherization Program Evaluation Oak Ridge National Laboratory provides weatherization program evaluations as part of the U.S. Department of Energy's Weatherization Assistance Program. This evaluation program is also available to international organizations. This article is a stub. You can help OpenEI by expanding it. Oak Ridge National Laboratory provides weatherization program evaluations

412

Weatherization Assistance Program: Spurring Innovation, Increasing Home  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Weatherization Assistance Program: Spurring Innovation, Increasing Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency October 31, 2013 - 5:01pm Addthis The Intermountain Weatherization Training Center in Clearfield, Utah. Weatherization Training Centers throughout the nation teach workers valuable skills needed to improve energy efficiency of homes. | Photo courtesy of Intermountain Weatherization Training Center The Intermountain Weatherization Training Center in Clearfield, Utah. Weatherization Training Centers throughout the nation teach workers valuable skills needed to improve energy efficiency of homes. | Photo courtesy of Intermountain Weatherization Training Center Bob Adams Supervisor, Weatherization Assistance Program

413

Fish, Weather and People  

NLE Websites -- All DOE Office Websites (Extended Search)

Fish, Weather and People Fish, Weather and People Nature Bulletin No. 241-A October 22, 1966 Forest Preserve District of Cook County Seymour Simon, President Roland F. Eisenbeis, Supt. of Conservation FISH, WEATHER AND PEOPLE. Fishing can be one of the cheapest and most satisfying forms of recreation for people of all ages and both sexes. The proudest moment for many a boy is when he comes home with a big catfish or a string of bluegills caught with a can of worms for bait, and a cane pole or a willow cut from a thicket. Fishing can also be an expensive sport when the fisherman, laden with gadgets and high-priced tackle, journeys long distances to northern waters. The time of year, the sign of the moon, the barometric pressure, the direction and velocity of wind, rainfall, the amount of fishing and other conditions are some of the reasons given by credulous fisherman to bolster up their alibis. None of them can be proved. We do know that, in general, in the streams, ponds and inland lakes of Illinois, the principal fish caught in early spring are bullheads and, after them, the crappies. In summer the catches are mostly bluegills and largemouth black bass. In autumn, often, we again get good strings of crappies. But beyond that, as far as we know, in only one body of water has there been kept sufficient records over a long term of years, and a scientific study of such records, to throw any light upon the theories about why and when fish bite or don't bite.

414

Weatherization Roundup | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Roundup Roundup Weatherization Roundup January 10, 2012 - 2:34pm Addthis Brian Bernal installs a carbon monoxide detector for a homeowner participating in the Weatherization Assistance Program in Loveland, CO. | Credit: Dennis Schroeder, NREL. Brian Bernal installs a carbon monoxide detector for a homeowner participating in the Weatherization Assistance Program in Loveland, CO. | Credit: Dennis Schroeder, NREL. April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs What does this mean for me? More than 750 thousand homes have been weatherized over the last three years. The Weatherization Assistance Program is saving the average household $400 a year on their utility bills. Last week, we told you about the more than 750 thousand homes weatherized

415

An electrochemical model for prediction of corrosion of mild steel in aqueous carbon dioxide solutions  

SciTech Connect

A predictive model was developed for uniform carbon dioxide corrosion, based on modeling of individual electrochemical reactions in a water-CO{sub 2} system. The model takes into account the electrochemical reactions of hydrogen ion reduction, carbonic acid reduction, direct water reduction, oxygen reduction, and anodic dissolution of iron. The required electrochemical parameters (e.g., exchange current densities and Tafel slopes) for different reactions were determined from experiments conducted in glass cells. The corrosion process was monitored using polarization resistance, potentiodynamic sweep, electrochemical impedance, and weight-loss measurements. The model was calibrated for two mild steels over a range of parameters: temperature (t) = 20 C to 80 C, pH = 3 to 6, partial pressure of CO{sub 2} (P{sub CO{sub 2}}) = 0 bar to 1 bar (0 kPa to 100 kPa), and {omega} = 0 rpm to 5,000 rpm (v{sub p} = 0 m/s to 2.5 m/s). The model was applicable for uniform corrosion with no protective films present. Performance of the model was validated by comparing predictions to results from independent loop experiments. Predictions also were compared to those of other CO{sub 2} corrosion prediction models. Compared to the previous largely empirical models, the model gave a clearer picture of the corrosion mechanisms by considering the effects of pH, temperature, and solution flow rate on the participating anodic and cathodic reactions.

Nesic, S. [Inst. for Energiteknikk, Kjeller (Norway); Postlethwaite, J. [Univ. of Saskatchewan, Saskatoon (Canada); Olsen, S. [Statoil, Trondheim (Norway)

1996-04-01T23:59:59.000Z

416

Weatherization Apprenticeship Program  

SciTech Connect

Weatherization improvement services will be provided to Native people by Native people. The proposed project will recruit, train and hire two full-time weatherization technicians who will improve the energy efficiency of homes of Alaska Natives/American Indians residing in the Indian areas, within the Cook Inlet Region of Alaska. The Region includes Anchorage as well as 8 small tribal villages: The Native Villages of Eklutna, Knik, Chickaloon, Seldovia, Ninilchik, Kenaitze, Salamatof, and Tyonek. This project will be a partnership between three entities, with Cook Inlet Tribal Council (CITC) as the lead agency: CITCA's Employment and Training Services Department, Cook Inlet Housing Authority and Alaska Works Partnership. Additionally, six of the eight tribal villages within the Cook Inlet Region of Alaska have agreed to work with the project in order to improve the energy efficiency of their tribally owned buildings and homes. The remaining three villages will be invited to participate in the establishment of an intertribal consortium through this project. Tribal homes and buildings within Anchorage fall under Cook Inlet Region, Inc. (CIRI) tribal authority.

Watson, Eric J

2012-12-18T23:59:59.000Z

417

Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation  

E-Print Network (OSTI)

model along with other sources of weather data such as satellite pictures and their own forecastingLessons from Deploying NLG Technology for Marine Weather Forecast Text Generation Somayajulu G Language Generation (NLG) system that produces textual weather forecasts for offshore oilrigs from

Sripada, Yaji

418

SEVERE WEATHER WARNING APPLICATION DEVELOPMENT AT NSSL USING MULTPLE RADARS AND MULTIPLE SENSORS  

E-Print Network (OSTI)

, mesoscale models, satellite, lightning, etc.). Therefore, these traditional single-radar severe weather8.3 SEVERE WEATHER WARNING APPLICATION DEVELOPMENT AT NSSL USING MULTPLE RADARS AND MULTIPLE Storms Laboratory has played the primary role in the development and evaluation of National Weather

Smith, Travis

419

Bishop Paiute Weatherization Training Program  

SciTech Connect

The DOE Weatherization Training Grant assisted Native American trainees in developing weatherization competencies, creating employment opportunities for Bishop Paiute tribal members in a growing field. The trainees completed all the necessary training and certification requirements and delivered high-quality weatherization services on the Bishop Paiute Reservation. Six tribal members received all three certifications for weatherization; four of the trainees are currently employed. The public benefit includes (1) development of marketable skills by low-income Native individuals, (2) employment for low-income Native individuals in a growing industry, and (3) economic development opportunities that were previously not available to these individuals or the Tribe.

Carlos Hernandez

2010-01-28T23:59:59.000Z

420

Weather satellites and the economic value of forecasts: evidence from the electric power industry  

Science Journals Connector (OSTI)

Data from weather satellites have become integral to the weather forecast process in the United States and abroad. Satellite data are used to derive improved forecasts for short-term routine weather, long-term climate change, and for predicting natural disasters. The resulting forecasts have saved lives, reduced weather-related economic losses, and improved the quality of life. Weather information routinely assists in managing resources more efficiently and reducing industrial operating costs. The electric energy industry in particular makes extensive use of weather information supplied by both government and commercial suppliers. Through direct purchases of weather data and information, and through participating in the increasing market for weather derivatives, this sector provides measurable indicators of the economic importance of weather information. Space weather in the form of magnetic disturbances caused by coronal mass ejections from the sun creates geomagnetically induced currents that disturb the electric power grid, sometimes causing significant economic impacts on electric power distribution. This paper examines the use of space-derived weather information on the U.S. electric power industry. It also explores issues that may impair the most optimum use of the information and reviews the longer-term opportunities for employing weather data acquired from satellites in future commercial and government activity.

Henry R. Hertzfeld; Ray A. Williamson; Avery Sen

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Performance of weather-conditional rebates under different risk preferences  

Science Journals Connector (OSTI)

Retailers who sell seasonal products often face challenges in demand management due to weather uncertainty. In many cases, they make their ordering and pricing decisions prior to the regular selling season but the vast majority of sales do not occur until after the season starts, during which unfavorable weather conditions may result in high monetary losses. To protect against such adverse financial outcomes, retailers may offer weather-linked promotions such as weather rebates and induce customers to make early purchases. Specifically, weather-conditional rebates are incentives offered in an advance promotional period to be paid to the early buyers if the weather state in the regular season is unfavorable. In the presence of seasonal weather uncertainty, risk attitudes of retailers and buyers may play an important role on the effectiveness of these promotions. In this paper, we analyze the performance of weather-conditional rebates by explicitly considering the impact of different risk behaviors. First, we study the case in which the retailer and customers are risk-neutral and show that the weather-conditional rebates are effective in increasing the retailer's profits. Under the assumption of the retailer's risk-neutrality, we conduct a simulation study to investigate the impact of customers' alternative early-purchase behaviors on the performance of the rebate program. Next, we consider a risk-averse retailer. We model the retailer's risk aversion primarily in the meanvariance framework and find that the rebate program can be designed to increase the mean profit and reduce the profit variance simultaneously. Furthermore, by combining the rebate program with a financial instrument such as binary weather options, the retailer can obtain greater benefits from weather-conditional rebates.

Ozgun Caliskan Demirag

2013-01-01T23:59:59.000Z

422

Intercomparison of Single-Column Numerical Models for the Prediction of Radiation Fog  

E-Print Network (OSTI)

layers of the atmosphere. Current NWP models poorly forecast the life cycle of fog, and improved NWP models exist in the surface boundary layer before the fog onset, particularly in cases with light winds before improving the analysis and prediction of fog (e.g., Benjamin et al. 2004; Fowler et al. 2006

Ribes, Aurélien

423

CROSS SHORE SANDBAR MIGRATION PREDICTED BY A TIME DOMAIN BOUSSINESQ MODEL INCORPORATING  

E-Print Network (OSTI)

CROSS SHORE SANDBAR MIGRATION PREDICTED BY A TIME DOMAIN BOUSSINESQ MODEL INCORPORATING UNDERTOW Wen Long1 , James T. Kirby2 and T.-J. Hsu3 An existing Boussinesq wave model is modified and erosional cross-shore sediment transport processes. INTRODUCTION Long and Kirby (2003) have used Boussinesq

Kirby, James T.

424

A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models  

E-Print Network (OSTI)

considerable interest in developing methods for uncertainty analysis of artificial neural network (ANN) models and parametric uncertainty in artificial neural network hydrologic models, Water Resour. Res., 43, W10407, doi:10A simplified approach to quantifying predictive and parametric uncertainty in artificial neural

Chaubey, Indrajeet

425

User-click Modeling for Understanding and Predicting Search-behavior  

E-Print Network (OSTI)

. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: General Terms AlgorithmsUser-click Modeling for Understanding and Predicting Search-behavior Yuchen Zhang1 , Weizhu Chen1 advances in search users' click modeling consider both users' search queries and click/skip behavior

Yang, Qiang

426

A Model for Predicting Daily Peak Visitation and Implications for Recreation Management and Water Quality: Evidence  

E-Print Network (OSTI)

A Model for Predicting Daily Peak Visitation and Implications for Recreation Management and Water carrying capacity. Keywords Visitation model Á Recreation management Á Water quality Á River visitation Á Clark, Fort Collins, Colorado 80523, USA 123 Environmental Management DOI 10.1007/s00267-008-9079-5 #12

427

Water Research 38 (2004) 33313339 Testing a surface tension-based model to predict the salting  

E-Print Network (OSTI)

Water Research 38 (2004) 3331­3339 Testing a surface tension-based model to predict the salting out associated with transferring solutes from water to a salt solution to the difference in surface tensions likely reflects the inability of the simple surface tension model to account for all interactions among

Herbert, Bruce

428

Critical Fracture Stress and Fracture Strain Models for the Prediction of Lower and  

E-Print Network (OSTI)

Critical Fracture Stress and Fracture Strain Models for the Prediction of Lower and Upper Shelf fracture stress and stress modified fracture strain models are utilized to describe the variation of lower and upper shelf fracture toughness with temperature and strain rate for two alloy steels used

Ritchie, Robert

429

Project Profile: Predictive Physico-Chemical Modeling of Intrinsic Degradation Mechanisms for Advanced Reflector Materials  

Energy.gov (U.S. Department of Energy (DOE))

NREL, under the Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar (PREDICTS) Program will be developing a physics-based computational degradation model to assess the kinetic oxidation rates; realistic model light attenuation and transport; and multi-layer treatment with variable properties Simulation based experimental design.

430

Prediction of oxy-coal flame stand-off using high-fidelity thermochemical models  

E-Print Network (OSTI)

Prediction of oxy-coal flame stand-off using high-fidelity thermochemical models and the one Abstract An Eulerian one-dimensional turbulence (ODT) model is applied to simulate oxy-coal combustion temperature and mixing rate on oxy-coal flame is simulated and discussed where flame stand-off is used

431

Atomistic Modeling of Macromolecular Crowding Predicts Modest Increases in Protein Folding and Binding Stability  

E-Print Network (OSTI)

Atomistic Modeling of Macromolecular Crowding Predicts Modest Increases in Protein Folding that macromolecular crowding can increase protein folding stability, but depending on details of the models (e.g., how on the effects of macro- molecular crowding on protein folding and binding stability has been reached. Crowders

Weston, Ken

432

An Efficient Genetic Algorithm for Predicting Protein Tertiary Structures in the 2D HP Model  

E-Print Network (OSTI)

, predicting its tertiary structure is known as the protein folding problem. This problem has been widely genetic algo- rithm for the protein folding problem under the HP model in the two-dimensional square Genetic Algorithm, Protein Folding Problem, 2D HP Model 1. INTRODUCTION Amino acids are the building

Istrail, Sorin

433

Development and Testing of Model Predictive Control for a Campus Chilled  

NLE Websites -- All DOE Office Websites (Extended Search)

Development and Testing of Model Predictive Control for a Campus Chilled Development and Testing of Model Predictive Control for a Campus Chilled Water Plant with Thermal Storage Title Development and Testing of Model Predictive Control for a Campus Chilled Water Plant with Thermal Storage Publication Type Conference Proceedings Year of Publication 2010 Authors Coffey, Brian, Philip Haves, Michael Wetter, Brandon Hencey, Francesco Borrelli, Yudong Ma, and Sorin Bengea Conference Name 2010 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 2010 Publisher Omnipress Conference Location Asilomar, California, USA ISBN 0-918249-60-0 Abstract A Model Predictive Control (MPC) implementation was developed for a university campus chilled water plant. The plant includes three water-cooled chillers and a two million gallon chilled water storage tank. The tank is charged during the night to minimize on-peak electricity consumption and take advantage of the lower ambient wet bulb temperature. A detailed model of the chilled water plant and simplified models of the campus buildings were developed using the equation-based modeling language Modelica. Steady state models of the chillers, cooling towers and pumps were developed, based on manufacturers' performance data, and calibrated using measured data collected and archived by the control system. A dynamic model of the chilled water storage tank was also developed and calibrated. A semi-empirical model was developed to predict the temperature and flow rate of the chilled water returning to the plant from the buildings. These models were then combined and simplified for use in a MPC algorithm that determines the optimal chiller start and stop times and set-points for the condenser water temperature and the chilled water supply temperature. The paper describes the development and testing of the MPC implementation and discusses lessons learned and next steps in further research

434

Comparison of the predictions of two models with dose measurements in a  

NLE Websites -- All DOE Office Websites (Extended Search)

Comparison of the predictions of two models with dose measurements in a Comparison of the predictions of two models with dose measurements in a case of children exposed to the emissions of a lead smelter Title Comparison of the predictions of two models with dose measurements in a case of children exposed to the emissions of a lead smelter Publication Type Journal Article LBNL Report Number LBNL-2397E Year of Publication 2009 Authors Bonnard, Roseline, and Thomas E. McKone Journal Journal of Human and Environmental Risk Assessment Volume 15 Issue 6 Pagination 1203-1226 ISSN 1080-7039 Keywords environmental chemistry, exposure & risk group, exposure and health effects, exposure assessment, ieubk, indoor environment department, lead, multimedia models, probabilistic risk assessment Abstract The predictions of two source-to-dose models are systematically evaluated with observed data collected in a village polluted by a currently operating secondary lead smelter. Both models were built up from several sub-models linked together and run using Monte-Carlo simulation, to calculate the distribution children's blood lead levels attributable to the emissions from the facility. The first model system is composed of the CalTOX model linked to a recoded version of the IEUBK model. This system provides the distribution of the media-specific lead concentrations (air, soil, fruit, vegetables and blood) in the whole area investigated. The second model consists of a statistical model to estimate the lead deposition on the ground, a modified version of the model HHRAP and the same recoded version of the IEUBK model. This system provides an estimate of the concentration of exposure of specific individuals living in the study area. The predictions of the first model system were improvedin terms of accuracy and precision by performing a sensitivity analysis and using field data to correct the default value provided for the leaf wet density. However, in this case study, the first model system tends to overestimate the exposure due to exposed vegetables. The second model was tested for nine children with contrasting exposure conditions. It managed to capture the blood levels for eight of them. In the last case, the exposure of the child by pathways not considered in the model may explain the failure of the model. The interest of this integrated model is to provide outputs with lower variance than the first model system, but at the moment further tests are necessary to conclude about its accuracy.

435

Development and validation of regression models to predict monthly heating demand for residential buildings  

Science Journals Connector (OSTI)

The present research work concerns development of regression models to predict the monthly heating demand for single-family residential sector in temperate climates, with the aim to be used by architects or design engineers as support tools in the very first stage of their projects in finding efficiently energetic solutions. Another interest to use such simplified models is to make it possible a very quick parametric study in order to optimize the building structure versus environmental or economic criteria. All the energy prediction models were based on an extended database obtained by dynamic simulations for 16 major cities of France. The inputs for the regression models are the building shape factor, the building envelope U-value, the window to floor area ratio, the building time constant and the climate which is defined as function of the sol-air temperature and heating set-point. If the neural network (NN) methods could give precise representations in predicting energy use, with the advantage that they are capable of adjusting themselves to unexpected pattern changes in the incoming data, the multiple regression analysis was also found to be an efficient method, nevertheless with the requirement that an extended database should be used for the regression. The validation is probably the most important level when trying to find prediction models, so 270 different scenarios are analysed in this research work for different inputs of the models. It has been established that the energy equations obtained can do predictions quite well, a maximum deviation between the predicted and the simulated is noticed to be 5.1% for Nice climate, with an average error of 2%. In this paper, we also show that is possible to predict the building heating demand even for more complex scenarios, when the construction is adjacent to non-heated spaces, basements or roof attics.

Tiberiu Catalina; Joseph Virgone; Eric Blanco

2008-01-01T23:59:59.000Z

436

DOE Announces Nearly $120 Million to Advance Innovative Weatherization  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Announces Nearly $120 Million to Advance Innovative DOE Announces Nearly $120 Million to Advance Innovative Weatherization Projects, Highlights Progress in the Program Nationally DOE Announces Nearly $120 Million to Advance Innovative Weatherization Projects, Highlights Progress in the Program Nationally August 19, 2010 - 12:00am Addthis WASHINGTON, DC - U.S. Energy Secretary Steven Chu announced today award selections for approximately 120 organizations across the country that will receive nearly $120 million to drive innovation under the Department of Energy's Weatherization Assistance Program. These investments will enable successful weatherization agencies to expand their programs and will support new pilot projects to demonstrate innovative weatherization delivery and financial models and new technologies. Secretary Chu also

437

A Physically Based Analytical Model to Predict Quantized Eigen Energies and Wave Functions Incorporating Penetration Effect  

E-Print Network (OSTI)

We propose a physically based analytical compact model to calculate Eigen energies and Wave functions which incorporates penetration effect. The model is applicable for a quantum well structure that frequently appears in modern nano-scale devices. This model is equally applicable for both silicon and III-V devices. Unlike other models already available in the literature, our model can accurately predict all the eigen energies without the inclusion of any fitting parameters. The validity of our model has been checked with numerical simulations and the results show significantly better agreement compared to the available methods.

Nadim Chowdhury; Imtiaz Ahmed; Zubair Al Azim; Md. Hasibul Alam; Iftikhar Ahmad Niaz; Quazi D. M. Khosru

2014-04-14T23:59:59.000Z

438

Extension of NORSOK CO2 corrosion prediction model for elbow geometry  

Science Journals Connector (OSTI)

Internal corrosion of flowlines and pipelines is inevitable when transporting oil and gas that contains corrosive species. The consequences of corrosion such as material failure, loss of production, plant shutdown, and environmental pollution result in extra cost that negatively affect the project economics. Early prediction of corrosion severity is, therefore, very important to propose proper measures to avoid or eliminate corrosion. The prediction is normally carried on using a selected model for corrosion prediction. One of these models is NORSOK model, an empirical model developed by NORSOK for CO2 corrosion prediction in straight pipes. Norsk Sokkels Konkuranseposisjon or, in English, The Competitive Standing of the Norwegian Offshore Sector (NORSOK) is number of standards developed by Norwegian industry groups covering different topics that related to offshore industry. In this paper, NORSOK model has been modified to make it applicable to elbows geometries by introducing the equivalent length concept. A friendly graphical user interface computational package is developed for corrosion prediction in both straight pipes and elbows. The package is validated against measured data and acceptable accuracy is attained.

Mysara Eissa Mohyaldin; Noaman Elkhatib; Mokhtar Che Ismail

2013-01-01T23:59:59.000Z

439

Measuring the potential predictability of ensemble climate predictions  

E-Print Network (OSTI)

metrics are used, the prediction skill is likely to be a linear function of EM2 , i.e., the larger the EM2 the higher skill the prediction; whereas when MSE-based metrics are used, a ``triangular relationship EM2 is small the prediction skill is highly variable. In contrast with ensemble weather prediction

Tang, Youmin

440

Artificial Neural Network Meta Models To Enhance the Prediction and Consistency of Multiphase Reactor Correlations  

Science Journals Connector (OSTI)

Artificial Neural Network Meta Models To Enhance the Prediction and Consistency of Multiphase Reactor Correlations ... Artificial neural networks (ANNs), as correlation tools, have gained wide acceptance in the field because of their inherent ability to map nonlinear relationships that tie up independent variables (either as dimensional inputs, e.g., pressure, diameter, etc., or as dimensionless inputs, e.g., Reynolds, Weber, and Froude numbers, etc.) to the reactor characteristics to be predicted, i.e., dimensional or dimensionless output. ...

Laurentiu A. Tarca; Bernard P. A. Grandjean; Faal Larachi

2003-03-19T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

EERE: Weatherization and Intergovernmental Program - Site Map  

NLE Websites -- All DOE Office Websites (Extended Search)

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Site Map to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Site Map on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Site Map on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Google Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Delicious Rank EERE: Weatherization and Intergovernmental Program - Site Map on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Site Map on AddThis.com... Site Map About Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

442

Prediction modeling of physiological responses and human performance in the heat  

Science Journals Connector (OSTI)

Over the last two decades, our laboratory has been establishing the data base and developing a series of predictive equations for deep body temperature, heart rate and sweat loss responses of clothed soldiers performing physical work at various environmental extremes. Individual predictive equations for rectal temperature, heart rate and sweat loss as a function of the physical work intensity, environmental conditions and particular clothing ensemble have been published in the open literature. In addition, important modifying factors such as energy expenditure, state of heat acclimation and solar heat load have been evaluated and appropriate predictive equations developed. Currently, we have developed a comprehensive model which is programmed on a Hewlett-Packard 41 CV hand held calculator. The primary physiological inputs are deep body (rectal) temperature and sweat loss while the predicted outputs are the expected physical work-rest cycle, the maximum single physical work time if appropriate, and the associated water requirements. This paper presents the mathematical basis employed in the development of the various individual predictive equations of our heat stress model. In addition, our current heat stress prediction model as programmed on the HP 41 CV is discussed from the standpoint of propriety in meeting the Army's needs and therefore assisting in military mission accomplishment.

Kent B. Pandolf; Leander A. Stroschein; Lawrence L. Drolet; Richard R. Gonzalez; Michael N. Sawka

1986-01-01T23:59:59.000Z

443

Northerly surface wind events over the eastern North Pacific Ocean : spatial distribution, seasonality, atmospheric circulation, and forcing  

E-Print Network (OSTI)

ECMWF and NCEP numerical weather prediction models, Mon.atmospheric numerical weather prediction model. The

Taylor, Stephen V.

2006-01-01T23:59:59.000Z

444

Deriving cloud velocity from an array of solar radiation measurements  

E-Print Network (OSTI)

trajectory and numerical weather prediction models. Proc.ration cause Numerical Weather Prediction (NWP) models to

Bosch, J.L.; Zheng, Y.; Kleissl, J.

2013-01-01T23:59:59.000Z

445

On the Representation of High-Latitude Boundary Layer Mixed-Phase Cloud in the ECMWF Global Model  

Science Journals Connector (OSTI)

Supercooled liquid water (SLW) layers in boundary layer clouds are abundantly observed in the atmosphere at high latitudes, but remain a challenge to represent in numerical weather prediction (NWP) and climate models. Unresolved processes such as ...

Richard M. Forbes; Maike Ahlgrimm

2014-09-01T23:59:59.000Z

446

Predictive Theory and Modeling| U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Predictive Theory and Modeling Predictive Theory and Modeling Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Closed Funding Opportunity Announcements (FOAs) Closed Lab Announcements Award Search Peer Review Policies EFRCs FOA Applications from Universities and Other Research Institutions Construction Review EPSCoR DOE Office of Science Graduate Fellowship (DOE SCGF) External link Early Career Research Program Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » Funding Opportunities Predictive Theory and Modeling

447

A predictive model for the combustion process in dual fuel engines  

SciTech Connect

A multi-zone model has been developed for the prediction of the combustion processes in dual fuel engines and some of their performance features. The consequences of the interaction between the gaseous and the diesel fuels and the resulting modification to the combustion processes are considered. A reacting zone has been incorporated in the model to describe the partial oxidation of the gaseous fuel-air mixture while detailed kinetic schemes are employed to describe the oxidation of the gaseous fuel, right from the start of compression to the end of the expansion process. The associated formation and concentrations of exhaust emissions are correspondingly established. The model can predict the onset of knock as well as the operating features and emissions for the more demanding case of light load performance. Predicted values for methane operation show good agreement with corresponding experimental values.

Liu, Z.; Karim, G.A. [Univ. of Calgary, Alberta (Canada)

1995-12-31T23:59:59.000Z

448

Handling model uncertainty in model predictive control for energy efficient buildings  

E-Print Network (OSTI)

to apply to other building modeling practices. 2. Wemodel 3.1. Mathematical modeling Building models proposed inMore details of building thermal modeling and estimation of

Maasoumy, Mehdi; Razmara, M; Shahbakhti, M; Sangiovanni-Vincentelli, Alberto

2014-01-01T23:59:59.000Z

449

Comparison of model predicted to observed winds in the coastal zone  

SciTech Connect

Predictions of near-surface (10 to 100 m) wind velocities made by a mesoscale numerical model on a 10 km grid over and near the coastline are checked against observations. Two comparisons are made. The first is between observed and model-estimated mean annual wind power density at locations where surface observations exist in three coastal areas: the Chesapeake Bay, the Apalachee Bay and the South Texas coastal area. The second comparison is made between model predictions over the Delmarva Peninsula and adjacent ocean and observations made over a 120 x 30 km rectangle extending across the peninsula and out to sea. It is concluded that the unbiased error analysis skill ratings of 81% and 76% are attained for two days of prediction-observation comparisons. In the meantime, the skill of the model in duplicating individual coastal wind fields is taken as 78%. In addition, a qualitative comparison is made between the predicted fields of wind and the observed wind field. The predicted wind field unquestionably reproduces the observed field.

Garstang, M.; Pielke, R.A.; Snow, J.W.

1982-06-01T23:59:59.000Z

450

Artificial neural network models for predicting condition of offshore oil and gas pipelines  

Science Journals Connector (OSTI)

Abstract Pipelines daily transport and distribute huge amounts of oil and gas across the world. They are considered the safest method of transporting oil and gas because of their limited number of failures. However, pipelines are subject to deterioration and degradation. It is therefore important that pipelines be effectively monitored to optimize their operation and to reduce their failures to an acceptable safety limit. Numerous models have been developed recently to predict pipeline conditions. Nevertheless, most of these models have used corrosion features alone to assess the condition of pipelines. Hence, this paper presents the development of models that evaluate and predict the condition of offshore oil and gas pipelines based on several factors besides corrosion. The models were developed using artificial neural network (ANN) technique based on historical inspection data collected from three existing offshore oil and gas pipelines in Qatar. The models were able to successfully predict pipeline conditions with an average percent validity above 97% when applied to the validation data set. The models are expected to help pipeline operators to assess and predict the condition of existing oil and gas pipelines and hence prioritize the planning of their inspection and rehabilitation.

Mohammed S. El-Abbasy; Ahmed Senouci; Tarek Zayed; Farid Mirahadi; Laya Parvizsedghy

2014-01-01T23:59:59.000Z

451

Home Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Weatherization Weatherization Home Weatherization A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. From air sealing to improving ventilation to adding insulation, home weatherization helps consumers save money by saving energy. Weatherization

452

Artificial Neural Network Estimator Design for the Inferential Model Predictive Control of an Industrial Distillation Column  

Science Journals Connector (OSTI)

The ANN architecture is a multilayer perceptron (MLP), which is a typical feed-forward (layered) neural network.2 A collection of neurons connected to each other forms the artificial neural network. ... It is shown that the how artificial neural networks can model the column, and demonstrated that the network model is as good or better than a simplified first principles model when used for model predictive control. ... A dynamic, nonlinear, multi-input multi-output application using the recurrent dynamic neuron network (RDNN) model is presented for a two-by-two distn. ...

Alm?la Bahar; Canan zgen; Kemal Leblebicio?lu; U?ur Hal?c?

2004-08-12T23:59:59.000Z

453

Towards the Prediction of Decadal to Centennial Climate Processes in the Coupled Earth System Model  

SciTech Connect

In this proposal, we have made major advances in the understanding of decadal and long term climate variability. (a) We performed a systematic study of multidecadal climate variability in FOAM-LPJ and CCSM-T31, and are starting exploring decadal variability in the IPCC AR4 models. (b) We develop several novel methods for the assessment of climate feedbacks in the observation. (c) We also developed a new initialization scheme DAI (Dynamical Analogue Initialization) for ensemble decadal prediction. (d) We also studied climate-vegetation feedback in the observation and models. (e) Finally, we started a pilot program using Ensemble Kalman Filter in CGCM for decadal climate prediction.

Zhengyu Liu, J. E. Kutzbach, R. Jacob, C. Prentice

2011-12-05T23:59:59.000Z

454

COBRA-WC model and predictions for a fast-reactor natural-circulation transient. [LMFBR  

SciTech Connect

The COBRA-WC (Whole Core) code has been used to predict the core-wide coolant and rod temperature distribution in a liquid metal fast reactor during the early part (first 220 seconds) of a natural circulation transient. Approximately one-sixth of the core was modeled including bypass flows and the pressure losses above and below the core region. Detailed temperature and flow distributions were obtained for the two test fuel assemblies. The COBRA-WC model, the approach, and predictions of core-wide transient coolant and rod temperatures during a natural circulation transient are presented in this paper.

George, T.L.; Basehore, K.L.; Prather, W.A.

1980-01-01T23:59:59.000Z

455

A dynamic prediction model for gaswater effective permeability based on coalbed methane production data  

Science Journals Connector (OSTI)

Abstract An understanding of the relative permeability of gas and water in coal reservoirs is vital for coalbed methane (CBM) development. In this work, a prediction model for gaswater effective permeability is established to describe the permeability variation within coal reservoirs during production. The effective stress and matrix shrinkage effects are taken into account by introducing the Palmer and Mansoori (PM) absolute permeability model. The endpoint relative permeability is calibrated through experimentation instead of through the conventional Corey relative permeability model, which is traditionally employed for the simulation of petroleum reservoirs. In this framework, the absolute permeability model and the relative permeability model are comprehensively coupled under the same reservoir pressure and water saturation conditions through the material balance equation. Using the Qinshui Basin as an example, the differences between the actual curve that is measured with the steady-state method and the simulation curve are compared. The model indicates that the effective permeability is expressed as a function of reservoir pressure and that the curve shape is controlled by the production data. The results illustrate that the PMCorey dynamic prediction model can accurately reflect the positive and negative effects of coal reservoirs. In particular, the model predicts the matrix shrinkage effect, which is important because it can improve the effective permeability of gas production and render the process more economically feasible.

H. Xu; D.Z. Tang; S.H. Tang; J.L. Zhao; Y.J. Meng; S. Tao

2014-01-01T23:59:59.000Z

456

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

For over 30 years, weather forecasting for the Antarctic continent and adjacent Southern Ocean has relied on weather satellites. Significant advancements in forecasting skill have come via the weather satellite. The advent of the high-resolution ...

Matthew A. Lazzara; Linda M. Keller; Charles R. Stearns; Jonathan E. Thom; George A. Weidner

2003-02-01T23:59:59.000Z

457

TMY2 Weather Data | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

TMY2 Weather Data TMY2 Weather Data TMY2 weather data that were used to generate the reference buildings refbldgs-v1.35.0-weatherfilestmy2.zip More Documents & Publications TMY2...

458

Recent changes of weather patterns in North America. Progress report, August 15, 1991--April 1, 1992  

SciTech Connect

The objectives of this report are (1) to analyze the time related changes and variability in the property and frequency of air masses and the weather extremes over North America; and, (2) to determine to what degree the observed changes agree with the predictions based on climate models. Climate models predict a general increase of surface air temperature and drought over parts of the North American continent due to increased CO{sub 2} concentrations. Regional climate change results in part from the changed frequency of the atmospheric and oceanic circulation patterns and partly from the changed properties of the different air mass types. We plan to investigate the changing frequency and properties of the air mass types focusing on moisture dependent variables and comparing the findings with the results of numerical climate models.

Kukla, G.J.; Gavin, J.E.

1992-04-01T23:59:59.000Z

459

Final Report Coupling in silico microbial models with reactive transport models to predict the fate of contaminants in the subsurface.  

SciTech Connect

This project successfully accomplished its goal of coupling genome-scale metabolic models with hydrological and geochemical models to predict the activity of subsurface microorganisms during uranium bioremediation. Furthermore, it was demonstrated how this modeling approach can be used to develop new strategies to optimize bioremediation. The approach of coupling genome-scale metabolic models with reactive transport modeling is now well enough established that it has been adopted by other DOE investigators studying uranium bioremediation. Furthermore, the basic principles developed during our studies will be applicable to much broader investigations of microbial activities, not only for other types of bioremediation, but microbial metabolism in diversity of environments. This approach has the potential to make an important contribution to predicting the impact of environmental perturbations on the cycling of carbon and other biogeochemical cycles.

Lovley, Derek R.

2012-10-31T23:59:59.000Z

460

The Architecture of the Earth System Modeling Framework  

Science Journals Connector (OSTI)

The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard which defines a component architecture and a support infrastructure is being developed under open-software practices. Target applications range from operational numerical weather prediction to climate-system change and predictability studies.

Chris Hill; Cecelia DeLuca; Balaji; Max Suarez; Arlindo da Silva

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather prediction models" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Subtask 2.4 - Integration and Synthesis in Climate Change Predictive Modeling  

SciTech Connect

The Energy & Environmental Research Center (EERC) completed a brief evaluation of the existing status of predictive modeling to assess options for integration of our previous paleohydrologic reconstructions and their synthesis with current global climate scenarios. Results of our research indicate that short-term data series available from modern instrumental records are not sufficient to reconstruct past hydrologic events or predict future ones. On the contrary, reconstruction of paleoclimate phenomena provided credible information on past climate cycles and confirmed their integration in the context of regional climate history is possible. Similarly to ice cores and other paleo proxies, acquired data represent an objective, credible tool for model calibration and validation of currently observed trends. It remains a subject of future research whether further refinement of our results and synthesis with regional and global climate observations could contribute to improvement and credibility of climate predictions on a regional and global scale.

Jaroslav Solc

2009-06-01T23:59:59.000Z

462

The impact of global nuclear mass model uncertainties on $r$-process abundance predictions  

E-Print Network (OSTI)

Rapid neutron capture or `$r$-process' nucleosynthesis may be responsible for half the production of heavy elements above iron on the periodic table. Masses are one of the most important nuclear physics ingredients that go into calculations of $r$-process nucleosynthesis as they enter into the calculations of reaction rates, decay rates, branching ratios and Q-values. We explore the impact of uncertainties in three nuclear mass models on $r$-process abundances by performing global monte carlo simulations. We show that root-mean-square (rms) errors of current mass models are large so that current $r$-process predictions are insufficient in predicting features found in solar residuals and in $r$-process enhanced metal poor stars. We conclude that the reduction of global rms errors below $100$ keV will allow for more robust $r$-process predictions.

Mumpower, M; Aprahamian, A

2014-01-01T23:59:59.000Z

463

Weatherization and Intergovernmental Program: Department of Labor  

NLE Websites -- All DOE Office Websites (Extended Search)

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 to someone by E-mail Share Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 on Facebook Tweet about Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 on Twitter Bookmark Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program

464

Weatherization and Intergovernmental Program: Information Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Information Resources Information Resources Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Information Resources to someone by E-mail Share Weatherization and Intergovernmental Program: Information Resources on Facebook Tweet about Weatherization and Intergovernmental Program: Information Resources on Twitter Bookmark Weatherization and Intergovernmental Program: Information Resources on Google Bookmark Weatherization and Intergovernmental Program: Information Resources on Delicious Rank Weatherization and Intergovernmental Program: Information Resources on Digg Find More places to share Weatherization and Intergovernmental Program: Information Resources on AddThis.com... Publications Weatherization Assistance Program Resources

465

Weatherization and Intergovernmental Program: Tribal Energy Program  

NLE Websites -- All DOE Office Websites (Extended Search)

About About Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Tribal Energy Program to someone by E-mail Share Weatherization and Intergovernmental Program: Tribal Energy Program on Facebook Tweet about Weatherization and Intergovernmental Program: Tribal Energy Program on Twitter Bookmark Weatherization and Intergovernmental Program: Tribal Energy Program on Google Bookmark Weatherization and Intergovernmental Program: Tribal Energy Program on Delicious Rank Weatherization and Intergovernmental Program: Tribal Energy Program on Digg Find More places to share Weatherization and Intergovernmental Program: Tribal Energy Program on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program

466

Weatherization and Intergovernmental Program: Technical Assistance  

NLE Websites -- All DOE Office Websites (Extended Search)

Technical Assistance Technical Assistance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Technical Assistance to someone by E-mail Share Weatherization and Intergovernmental Program: Technical Assistance on Facebook Tweet about Weatherization and Intergovernmental Program: Technical Assistance on Twitter Bookmark Weatherization and Intergovernmental Program: Technical Assistance on Google Bookmark Weatherization and Intergovernmental Program: Technical Assistance on Delicious Rank Weatherization and Intergovernmental Program: Technical Assistance on Digg Find More places to share Weatherization and Intergovernmental Program: Technical Assistance on AddThis.com... Quick Links Solution Center Weatherization Assistance Program Technical Assistance Center

467

Weatherization and Intergovernmental Program: Recovery Act  

NLE Websites -- All DOE Office Websites (Extended Search)

Recovery Act to someone by E-mail Share Weatherization and Intergovernmental Program: Recovery Act on Facebook Tweet about Weatherization and Intergovernmental Program: Recovery Act on Twitter Bookmark Weatherization and Intergovernmental Program: Recovery Act on Google Bookmark Weatherization and Intergovernmental Program: Recovery Act on Delicious Rank Weatherization and Intergovernmental Program: Recovery Act on Digg Find More places to share Weatherization and Intergovernmental Program: Recovery Act on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program WAP - Sustainable Energy Resources for Consumers Grants WAP - Weatherization Innovation Pilot Program State Energy Program Energy Efficiency & Conservation Block Grant Program

468

Monitoring Plan for Weatherization Assistance Program, State...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Monitoring Plan for Weatherization Assistance Program, State Energy Program and Energy Efficiency and Conservation Block Grants Monitoring Plan for Weatherization Assistance...

469

Management of Weather and Climate Disputes  

E-Print Network (OSTI)

than intentional climate modification may as a by- productuse weather and climate modification techniques for hostilekinds of weather and climate modification, a sophisticated

Weiss, Edith Brown

1983-01-01T23:59:59.000Z

470

Administration Announces Nearly $8 Billion in Weatherization...  

Office of Environmental Management (EM)

Administration Announces Nearly 8 Billion in Weatherization Funding and Energy Efficiency Grants Administration Announces Nearly 8 Billion in Weatherization Funding and Energy...

471

New York: Weatherizing Westbeth Reduces Energy Consumption |...  

Energy Savers (EERE)

York: Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and...

472

WEATHERIZATION ANNUAL FILE WORKSHEET | Department of Energy  

Energy Savers (EERE)

is designed to gather specific detail related to the expenditures of the Weatherization grant. WEATHERIZATION ANNUAL FILE WORKSHEET More Documents & Publications DOE F 540.3 DOE F...

473

Weatherization Assistance Program | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

About the Office Weatherization Assistance Program Where to Apply for Assistance What is Weatherization Goals & Metrics Pilot Projects Success Stories Guidelines for Home Energy...

474

Prediction of Ice Crystal Number in Community Atmospheric Model (CAM3.0)  

NLE Websites -- All DOE Office Websites (Extended Search)

Prediction of Ice Crystal Number in Community Atmospheric Model (CAM3.0) Prediction of Ice Crystal Number in Community Atmospheric Model (CAM3.0) Liu, Xiaohong Pacific Northwest National Laboratory Ghan, Steven Pacific Northwest National Laboratory Wang, M University of Michigan Penner, Joyce University of Michigan Category: Modeling A prognostic equation of ice crystal number concentrations is implemented in the Community Atmospheric Model (CAM3.0) with the aim to study the aerosol effects on climate through changing the ice cloud properties. The microphysical processes affecting the ice number concentration include ice nucleation, secondary production of crystals, and the conversion of ice to snow. For ice nucleation process, Liu and Penner (2005) parameterization of homogeneous nucleation of sulfate and heterogeneous immersion nucleation on

475

Comparison of predictions of the Hybrid Plume Dispersion Model with observations at the Kincaid power plant  

Science Journals Connector (OSTI)

The Hybrid Plume Dispersion Model (HPDM) has been evaluated with observations from a field experiment at the Kincaid power plant. HPDM is a dispersion model for buoyant plumes that employs parameterisations of boundary-layer wind, temperature, and turbulence profiles and Lagrangian time-scales. The model accounts for the bimodal distribution of turbulent velocities in the convective boundary layer and contains an algorithm for calculating the lofting of a buoyant plume against a capping inversion. The model predictions of maximum plume centreline concentrations show a mean bias of less than l0%, a typical error that is about 50% of the mean, and a correlation of about 0.5.

S.R. Hanna; J.C. Chang

1995-01-01T23:59:59.000Z

476

Towards QoS Prediction Based on Composition Structure Analysis and Probabilistic Environment Models  

E-Print Network (OSTI)

Towards QoS Prediction Based on Composition Structure Analysis and Probabilistic Environment Models Dragan Ivanovi´c Universidad Polit´ecnica de Madrid idragan@clip.dia.fi.upm.es Peerachai Kaowichakorn Universidad Polit´ecnica de Madrid p.kaowichakorn@gmail.com Manuel Carro Universidad Polit´ecnica de Madrid

Politécnica de Madrid, Universidad

477

Prediction of Solid Polycyclic Aromatic Hydrocarbons Solubility in Water with the NRTL-PR Model  

E-Print Network (OSTI)

processes of PAH with subcritical water [5,6] since it provides the extractability limit which can be used groups, for the representation of the solubility of solid PAH in subcritical water. These hal-00872639Prediction of Solid Polycyclic Aromatic Hydrocarbons Solubility in Water with the NRTL-PR Model

Paris-Sud XI, Université de

478

A probabilistic model to predict the formation and propagation of crack networks in thermal  

E-Print Network (OSTI)

. In the case of cooling systems in nuclear power plants, observations revealed the presence of thermal crazing loading even if thermal fatigue is multiaxial. However, the first simulations on a uniaxial mechanicalA probabilistic model to predict the formation and propagation of crack networks in thermal fatigue

479

A Novel Virtual Age Reliability Model for Time-to-Failure Prediction  

E-Print Network (OSTI)

counts, devices approaching physical feature size limits and nuclear plant comparable power densityA Novel Virtual Age Reliability Model for Time-to-Failure Prediction Yao Wang, Sorin Cotofana their relatively short operating lifetime. To overcome the MTTF weakness, this paper proposes a novel virtual age

Kuzmanov, Georgi

480

A Predictive Model of Bacterial Foraging by Means of Freely Released Extracellular Enzymes  

E-Print Network (OSTI)

A Predictive Model of Bacterial Foraging by Means of Freely Released Extracellular Enzymes Y T Extracellular enzymes are important agents for microbial foraging and material cycling in diverse natural immobile microbe, of freely releasing extracellular enzymes into a fluid- bathed, stable matrix of both

Jumars, Pete

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481

Discrepancies in the Prediction of Solar Wind using Potential Field Source Surface Model: An  

E-Print Network (OSTI)

expansion near the Sun and the solar wind speed observed at earth was first noted by Levine, AltschulerDiscrepancies in the Prediction of Solar Wind using Potential Field Source Surface Model between the magnetic flux tube expansion factor (FTE) at the source surface and the solar wind speed

Zhao, Xuepu

482

Pattern-oriented modelling: a multi-scope for predictive systems ecology  

Science Journals Connector (OSTI)

...calibration methods [22]. 4. A mini-review The adoption of POM...explicitly refer to POM. This mini-review shows that POM can be...ecology than captured by our mini-review: many highly predictive...model in this field includes a grid of cells that can be empty or...

2012-01-01T23:59:59.000Z

483

Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking  

E-Print Network (OSTI)

Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking to be established. Here we develop a computational framework to address how the ankle joint actuation problem-tendon morphology and neural activations enable a metabolically optimal realization of biological ankle mechanics

Herr, Hugh

484

Scenario-Based Fault-Tolerant Model Predictive Control for Diesel-Electric Marine Power Plant  

E-Print Network (OSTI)

Scenario-Based Fault-Tolerant Model Predictive Control for Diesel-Electric Marine Power Plant where diesel gener- ator sets (a diesel engine connected to a generator) produce electrical power, which Email: torstein.bo@itk.ntnu.no, tor.arne.johansen@itk.ntnu.no Abstract--Diesel-electric propulsion

Johansen, Tor Arne

485

MRI based diffusion and perfusion predictive model to estimate stroke Stephen E. Rosea,  

E-Print Network (OSTI)

MRI based diffusion and perfusion predictive model to estimate stroke evolution Stephen E. Rosea and perfusion images acquired in the acute stage of stroke. The validity of this methodology was tested on novel patient data including data acquired from an independent stroke clinic. Regions-of-interest (ROIs

McLachlan, Geoff

486

Predictive Inner-Outer Model for Turbulent Boundary Layers Applied to Hypersonic DNS Data  

E-Print Network (OSTI)

Predictive Inner-Outer Model for Turbulent Boundary Layers Applied to Hypersonic DNS Data Clara numerical simulation (DNS) data of supersonic and hypersonic turbulent boundaries with Mach 3 and Mach 7, and Martin12­14 on DNS of hypersonic turbulent boundary layers demonstrates the existence of large scale

Martín, Pino

487

Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation  

E-Print Network (OSTI)

tethered to the ground at a high velocity across the wind direction. Power can be generated by a, the first option is considered. Because it involves a much lighter structure, a major advantage of powerControl of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving

488

A New Empirical Model for Predicting Single-Sided, Wind-Driven Natural Ventilation in Buildings  

E-Print Network (OSTI)

ventilation rate due to the pulsating flow and eddy penetration of single-sided, wind-driven natural Normal to the opening q Fluctuating flow rate e Eddy penetration Wang, H. and Chen, Q. 2012. "A new buildings. A new empirical model was developed that can predict the mean ventilation rate and fluctuating

Chen, Qingyan "Yan"

489

Randomized Model Predictive Control for HVAC Systems Alessandra Parisio, Damiano Varagnolo, Daniel Risberg,  

E-Print Network (OSTI)

Randomized Model Predictive Control for HVAC Systems Alessandra Parisio, Damiano Varagnolo, Daniel Conditioning (HVAC) sys- tems play a fundamental role in maintaining acceptable ther- mal comfort and Indoor. A possible solu- tion is to develop effective control strategies for HVAC sys- tems, but this is complicated

Johansson, Karl Henrik

490

Exploiting Two Intelligent Models to Predict Water Level: A field study of Urmia lake, Iran  

E-Print Network (OSTI)

Exploiting Two Intelligent Models to Predict Water Level: A field study of Urmia lake, Iran Shahab. The measurements from a single tide gauge at Urmia Lake, Northwest Iran, were used to train and validate the GP of Tabriz, Tabriz, Iran. Tel: 0098-411-3392786 Fax: 0098-411-3345332, (e-mail: sha- hab kvk66@yahoo

Fernandez, Thomas

491

A comparison of various models in predicting ignition delay in single-particle coal combustion  

E-Print Network (OSTI)

A comparison of various models in predicting ignition delay in single-particle coal combustion November 2013 Accepted 7 January 2014 Available online xxxx Keywords: Coal Devolatilization Ignition delay a b s t r a c t In this paper, individual coal particle combustion under laminar conditions

492

Model-predicted distribution of wind-induced internal wave energy in the world's oceans  

E-Print Network (OSTI)

Model-predicted distribution of wind-induced internal wave energy in the world's oceans Naoki 9 July 2008; published 30 September 2008. [1] The distribution of wind-induced internal wave energy-scaled kinetic energy are all consistent with the available observations in the regions of significant wind

Miami, University of

493

Supervisory hybrid model predictive control for voltage stability of power networks  

E-Print Network (OSTI)

on the predicted behavior of a model featuring hybrid dynamics of the loads and the generation system. I (via solar energy or wind energy installations) will start to feed electricity into the network [2 continuous dynamics and discrete events, i.e., power systems exhibit hybrid behavior. Components

Paris-Sud XI, Université de

494

C H A P T E R Patch-based Models to Predict  

E-Print Network (OSTI)

3 2 7 C H A P T E R 26 Patch-based Models to Predict Species Occurrence: Lessons from Salmonid localized peaks of abundance (Maurer 1999). This is particularly obvi- ous in stream ecosystems, where patch. To be most useful, patches should be clearly defined by associations between a biological response (e.g., re

495

Economic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks  

E-Print Network (OSTI)

Economic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks EWO University Oct 12, 2011 Ajit Gopalakrishnan (CMU) Economic NMPC for gas pipeline optimization Oct 12, 2011 1 Gopalakrishnan (CMU) Economic NMPC for gas pipeline optimization Oct 12, 2011 4 / 24 #12;Natural Gas Industry

Grossmann, Ignacio E.

496

Model Predictive Control for Starvation Prevention in a Hybrid Fuel Cell System1  

E-Print Network (OSTI)

voltage, a control system is necessary for maintaining optimal temperature, membrane humidity and pressure: Schematic of the fuel cell stack and air supply control sys- tem. The fuel cell stack consists of 350 cellsModel Predictive Control for Starvation Prevention in a Hybrid Fuel Cell System1 Ardalan Vahidi 2

Stefanopoulou, Anna

497

Dasatinib (BMS-354825) Pharmacokinetics and Pharmacodynamic Biomarkers in Animal Models Predict Optimal Clinical Exposure  

Science Journals Connector (OSTI)

...Bristol-Myers Squibb Company, Princeton, New Jersey The costs...inhibition correlated with the plasma levels of dasatinib in...inhibition correlated with the plasma levels of dasatinib in...modeling predicted that the plasma concentration of dasatinib...Bristol-Myers Squibb Company, Princeton, New Jersey 08543...

Feng R. Luo; Zheng Yang; Amy Camuso; Richard Smykla; Kelly McGlinchey; Krista Fager; Christine Flefleh; Stephen Castaneda; Ivan Inigo; David Kan; Mei-Li Wen; Robert Kramer; Anne Blackwood-Chirchir; and Francis Y. Lee

2006-12-01T23:59:59.000Z

498

OPERATOR INTERACTION WITH MODEL-BASED PREDICTIVE CONTROLLERS IN PETROCHEMICAL REFINING  

E-Print Network (OSTI)

. These differences in level may explain why we observed refinery operators asking questions of the automation not. This could also explain why we did not observe refinery operators having difficultyOPERATOR INTERACTION WITH MODEL-BASED PREDICTIVE CONTROLLERS IN PETROCHEMICAL REFINING Greg A

Virginia, University of

499

Predicting Protein Folds with Structural Repeats Using a Chain Graph Model  

E-Print Network (OSTI)

Predicting Protein Folds with Structural Repeats Using a Chain Graph Model Yan Liu yanliu, Carnegie Mellon University, Pittsburgh, PA 15213 USA Abstract Protein fold recognition is a key step to to accurately identify protein folds aris- ing from typical spatial arrangements of well-defined secondary

Xing, Eric P.

500

Commercial Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Commercial Weatherization Commercial Weatherization Commercial Weatherization When high energy bills and a dwindling customer base threatened the Athenian Corner's well-being, the restaurant turned to energy efficiency upgrades to help operating costs and improve its bottom line. Learn how energy efficiency upgrades are helping the Athenian Corner be a viable business. When high energy bills and a dwindling customer base threatened the Athenian Corner's well-being, the restaurant turned to energy efficiency upgrades to help operating costs and improve its bottom line. Learn how energy efficiency upgrades are helping the Athenian Corner be a viable business. Commercial buildings consume 19 percent of the energy used in the U.S.