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1

Satellite Application Facility for Numerical Weather Prediction  

E-Print Network [OSTI]

into Numerical Weather Prediction (NWP) models. However, the impact of such observations often critNWP 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

Stoffelen, Ad

2

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surface. In this paper, a case is presented for which the operational Numerical Weather Prediction Model (NWP) HIRLAM

Stoffelen, Ad

3

Adjoint Sensitivity Analysis for Numerical Weather Prediction  

E-Print Network [OSTI]

Sep 2, 2011 ... Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to Power Grid Optimization. Alexandru Cioaca(alexgc ***at*** vt.edu)

Alexandru Cioaca

2011-09-02T23:59:59.000Z

4

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

5

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

6

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

7

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

8

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

9

CSU ATS703 Fall 2012 Numerical Weather Prediction  

E-Print Network [OSTI]

CSU ATS703 Fall 2012 Numerical Weather Prediction ATS703 is based on the course notes and papers method. A crucial element of accurate weather prediction is initialization, which is briefly discussed in Chapter 11. In the next decade, numerical weather prediction will expe- rience a revolution in model

10

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

11

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

12

Numerical Prediction of High-Impact Local Weather: A  

E-Print Network [OSTI]

Chapter 6 Numerical Prediction of High-Impact Local Weather: A Driver for Petascale Computing Ming winds, lightning, hurricanes and winter storms, cause hundreds of deaths and average annual economic of mitigating the impacts of such events on the economy and society is obvious, our ability to do so

Xue, Ming

13

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

14

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

15

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

16

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

17

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 for Medium-Range Weather Forecasts, the US North American Model, and the US Global Forecast System. Attempts

Johnson, Peter D.

18

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

19

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 to develop a methodology to generate solar radiation maps using information from different sources. First with conclusions and next works in the last section. Keywords: Solar Radiation maps, Numerical Weather Predictions

Paris-Sud XI, Université de

20

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

Note: This page contains sample records for the topic "numerical weather prediction" 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

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

22

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.

23

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

24

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.

25

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

26

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

27

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.

28

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

SciTech Connect (OSTI)

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

29

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.

30

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

31

Extended abstract, 17th Conference on Numerical Weather Prediction August 1-5, 2005, Washington DC.  

E-Print Network [OSTI]

, a network of sensors collected numerous water vapor data. This network included ground-based GPS receivers in recovering 3D moisture information. To date, most variational analysis systems use static background error background term. Ha et al. (2003) assumed the background error covariance is diagonal in their four

Xue, Ming

32

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

33

DREAM tool increases space weather predictions  

E-Print Network [OSTI]

- 1 - 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 DREAM comes into play. Radiation belt structure and dynamics revealed DREAM is a modeling tool

34

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

E-Print Network [OSTI]

1 The Uncoordinated Giant: Why U.S. Weather Research and Prediction Are Not Achieving.S. meteorological community has made significant strides in weather diagnosis and prediction, progress has been such problems in a number of areas, ranging from numerical weather prediction to forecast dissemination

Mass, Clifford F.

35

ASSIMILATION OF DOPPLER RADAR DATA INTO NUMERICAL WEATHER MODELS  

SciTech Connect (OSTI)

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

36

The origins of computer weather prediction and climate modeling  

SciTech Connect (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 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

37

MOUNTAIN WEATHER PREDICTION: PHENOMENOLOGICAL CHALLENGES AND FORECAST METHODOLOGY  

E-Print Network [OSTI]

MOUNTAIN WEATHER PREDICTION: PHENOMENOLOGICAL CHALLENGES AND FORECAST METHODOLOGY Michael P. Meyers of the American Meteorological Society Mountain Weather and Forecasting Monograph Draft from Friday, May 21, 2010 of weather analysis and forecasting in complex terrain with special emphasis placed on the role of humans

Steenburgh, Jim

38

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

39

Unified Surface Analysis Manual Weather Prediction Center  

E-Print Network [OSTI]

-bone in stage IV. The stages in the respective cyclone evolutions are separated by approximately 6 24 h's) National Weather Service (NWS) were generally based on the Norwegian Cyclone Model (Bjerknes 1919) over below shows a typical evolution according to both models of cyclone development. Conceptual models

40

The Quality of a 48-Hours Wind Power Forecast Using the German and Danish Weather Prediction Model  

E-Print Network [OSTI]

numerical weather prediction models operated by the weather services are refined by taking into account stock exchange. The typical predic- tion time horizon which is needed for these purposes is 3 to 48 are applied taking into account the effects from lo- cal roughness, thermal stratification of the atmosphere

Heinemann, Detlev

Note: This page contains sample records for the topic "numerical weather prediction" 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

Predicting Solar Generation from Weather Forecasts Using Machine Learning  

E-Print Network [OSTI]

of smart grid initiatives is significantly increasing the fraction of grid energy contributed by renewables existing forecast-based models. I. INTRODUCTION A key goal of smart grid efforts is to substantially-based prediction models built using seven distinct weather forecast metrics are 27% more accurate for our site than

Shenoy, Prashant

42

Optimization Online - Economic Impacts of Advanced Weather ...  

E-Print Network [OSTI]

Mar 5, 2010 ... Economic Impacts of Advanced Weather Forecasting on Energy System ... that state-of-the-art numerical weather prediction (NWP) models can...

Victor M. Zavala

2010-03-05T23:59:59.000Z

43

Weather  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

44

Hamiltonian-based numerical methods for forced-dissipative climate prediction  

E-Print Network [OSTI]

Hamiltonian-based numerical methods for forced-dissipative climate prediction Bob Peeters1 , Onno long-term weather forecast models fail at this point. But the question remains, however: Question: Is it advantageous to use numerical schemes with a Hamil- tonian core for realistic climate modeling? The primitive

Al Hanbali, Ahmad

45

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

DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

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

46

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

E-Print Network [OSTI]

1 The Uncoordinated Giant: Why U.S. Weather Research and Prediction Are Not Achieving.S. meteorological community has made significant strides in weather diagnosis and prediction, progress has been research and operations, that might facilitate improvement in our ability to understand and predict

Mass, Clifford F.

47

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

E-Print Network [OSTI]

the accuracies of surface wind fields in the National Centers for Envi- ronmental Prediction (NCEP) and EuropeanOn the Use of QuikSCAT Scatterometer Measurements of Surface Winds for Marine Weather Prediction ocean vector winds for marine weather prediction is investigated from two Northern Hemisphere case

Kurapov, Alexander

48

Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation  

E-Print Network [OSTI]

weather under the guidance of weather data generated by Numerical Weather Prediction (NWP) models Numerical Weather Prediction (NWP) data. It has been used for the past year by Weathernews (UK) Ltd weather prediction information fulfilling the needs of the end user. This task requires them to use NWP

Sripada, Yaji

49

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.

50

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

51

Weather  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and Materials Disposition3 WaterFebruary 18,theWeather Weather We

52

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

53

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

54

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

55

Direct Numerical Simulations and Robust Predictions of Cloud...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the center of the bubble cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud...

56

A framework for predicting global silicate weathering and CO2 drawdown rates over geologic time-scales  

E-Print Network [OSTI]

A framework for predicting global silicate weathering and CO2 drawdown rates over geologic time (received for review February 15, 2008) Global silicate weathering drives long-time-scale fluctuations in atmospheric CO2. While tectonics, climate, and rock-type influence silicate weathering, it is unclear how

Hilley, George

57

Extended Abstract, 20th Conf. Weather Analysis and Forecasting/ 16th Conf. Numerical Weather Prediction  

E-Print Network [OSTI]

. In the study, water and ice phase microphysical variables are first derived from the polariza- tion for an adjoint that should include detailed physics parameterizations and the high computational cost, 4DVAR,mxue@ou.edu. et al (2000) being one exception. In the latter, the ice mi- crophysics scheme used

Xue, Ming

58

Sunshine-Factor Model with Treshold GARCH for Predicting Temperature of Weather Contracts  

E-Print Network [OSTI]

Sunshine-Factor Model with Treshold GARCH for Predicting Temperature of Weather Contracts Hlne of the shocks on the volatility by estimating a structural model with a periodic threshold GARCH. We show model, Markov chain, threshold GARCH, Monte- Carlo simulations, pricing, Value-at-Risk. JEL

Paris-Sud XI, Universit de

59

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

60

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.

Note: This page contains sample records for the topic "numerical weather prediction" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


61

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

62

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

63

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

64

Value of medium range weather forecasts in the improvement of seasonal hydrologic prediction skill  

SciTech Connect (OSTI)

We investigated the contribution of medium range weather forecasts with lead times up to 14 days to seasonal hydrologic prediction skill over the Conterminous United States (CONUS). Three different Ensemble Streamflow Prediction (ESP)-based experiments were performed for the period 1980-2003 using the Variable Infiltration Capacity (VIC) hydrology model to generate forecasts of monthly runoff and soil moisture (SM) at lead-1 (first month of the forecast period) to lead-3. The first experiment (ESP) used a resampling from the retrospective period 1980-2003 and represented full climatological uncertainty for the entire forecast period. In the second and third experiments, the first 14 days of each ESP ensemble member were replaced by either observations (perfect 14-day forecast) or by a deterministic 14-day weather forecast. We used Spearman rank correlations of forecasts and observations as the forecast skill score. We estimated the potential and actual improvement in baseline skill as the difference between the skill of experiments 2 and 3 relative to ESP, respectively. We found that useful runoff and SM forecast skill at lead-1 to -3 months can be obtained by exploiting medium range weather forecast skill in conjunction with the skill derived by the knowledge of initial hydrologic conditions. Potential improvement in baseline skill by using medium range weather forecasts, for runoff (SM) forecasts generally varies from 0 to 0.8 (0 to 0.5) as measured by differences in correlations, with actual improvement generally from 0 to 0.8 of the potential improvement. With some exceptions, most of the improvement in runoff is for lead-1 forecasts, although some improvement in SM was achieved at lead-2.

Shukla, Shraddhanand; Voisin, Nathalie; Lettenmaier, D. P.

2012-08-15T23:59:59.000Z

65

Numerical Aerodynamic Optimization Incorporating Laminar-Turbulent Transition Prediction  

E-Print Network [OSTI]

Numerical Aerodynamic Optimization Incorporating Laminar-Turbulent Transition Prediction J. Driver-dimensional Newton­Krylov aerodynamic shape optimization algorithm is applied to several optimization problems a striking demonstration of the capability of the Newton­ Krylov aerodynamic optimization algorithm to design

Zingg, David W.

66

NUMERICAL PREDICTION OF TEMPERATURE DISTRIBUTION IN PEM FUEL CELLS  

E-Print Network [OSTI]

NUMERICAL PREDICTION OF TEMPERATURE DISTRIBUTION IN PEM FUEL CELLS S. Shimpalee and S. Dutta distribution inside a straight channel proton exchange membrane ( PEM) fuel cell and the effect of heat is called the proton exchange membrane (PEM) fuel cell that operates at a signi¢cantly lower temperature

Van Zee, John W.

67

Spatial predictive distribution for precipitation based on numerical weather predictions (NWP)  

E-Print Network [OSTI]

for precipitation based on NWP #12;Motivation, hydro power production How much water comes when? With uncertainty Precipitation Data Meteorological model NWP Short term optimalization Run off Hydrological model Past Future

Steinsland, Ingelin

68

Exploiting weather forecast data for cloud detection  

E-Print Network [OSTI]

Accurate, fast detection of clouds in satellite imagery has many applications, for example Numerical Weather Prediction (NWP) and climate studies of both the atmosphere and of the Earths surface temperature. Most ...

Mackie, Shona

2009-01-01T23:59:59.000Z

69

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Meth. Fluids 2012; 68:377402  

E-Print Network [OSTI]

of its extension to operational 3-D numerical weather prediction models. Copyright 2011 John Wiley & Sons complicated Numerical Weather Prediction (NWP) models. Therefore, derivation and testing of various algorithms by Chen et al. (Int. J. Numer. Meth. Fluids 2009), we attempt to obtain a reduced order model of the above

Navon, Michael

70

P2.3 DEVELOPMENT OF A COMPREHENSIVE SEVERE WEATHER FORECAST VERIFICATION SYSTEM AT THE STORM PREDICTION CENTER  

E-Print Network [OSTI]

: Andrew R. Dean, CIMMS, Univ. of Oklahoma, National Weather Center, Suite 2300, Norman, OK 73072-7268; e PREDICTION CENTER Andrew R. Dean*1,2 , Russell S. Schneider 2 , and Joseph T. Schaefer 2 1 Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 2 NOAA/NWS Storm

71

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

72

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

73

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

74

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

75

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

76

A Comparison of Parallel Programming Paradigms and Data Distributions for a Limited Area Numerical Weather Forecast Routine  

E-Print Network [OSTI]

. Published in proceedings of the 9 th ACM International Conference on Supercomputing, July 1995, Barcelona for producing routine weather forecasts at several European meteorological institutes. Results are shown

van Engelen, Robert A.

77

WEATHER HAZARDS Basic Climatology  

E-Print Network [OSTI]

Prediction Center (SPC) Watch Atmospheric conditions are right for hazardous weather ­ hazardous weather is likely to occur Issued by SPC Warning Hazardous weather is either imminent or occurring Issued by local NWS office #12;Outlooks--SPC Storm Prediction Center (SPC) Outlook=Convective Outlook Day 1 Day 2

78

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

E-Print Network [OSTI]

and appropriately dispatch load-following power plants. Whenrequirements. Overall, load-following capacity requirementsto determine scheduling for load-following power plants and

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

79

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

E-Print Network [OSTI]

J.B. , 2004: Probabilistic wind power forecasts using localforecast intervals for wind power output using NWP-predictedsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

80

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

E-Print Network [OSTI]

fluctuations in renewable energy production (such as when aof renewable resources into the energy production portfolioof renewable energy are implemented, energy production is

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "numerical weather prediction" 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

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

E-Print Network [OSTI]

Downwardsurfacesolarradiation datareleasedat12UTCforecastshortwaveradiationwithdataobtainedfromtheradiation: Astatisticalapproachusingsatellitedata.

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

82

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

E-Print Network [OSTI]

andvalidation. SolarEnergy. 73:5,307? Perez,R. ,irradianceforecastsforsolarenergyapplicationsbasedonusingsatellitedata. SolarEnergy67:1?3,139?150.

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

83

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

E-Print Network [OSTI]

Piwko, 2010: Western wind and solar integration study. NRELsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

84

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

85

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

86

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

E-Print Network [OSTI]

United States California Solar Initiative Coastally Trappedparticipants in the California Solar Initiative (CSI)on location. In California, solar irradiance forecasts near

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

87

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

88

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

E-Print Network [OSTI]

-hydrostatic models, the rapid increase of computer power, and the avail- ability of full-precision radar data in real system must assimilate Doppler radar data including radial velocity and reflectivity, and combine that information with data from satellites, surface stations, and other meso- and micro-scale sensor networks

Xue, Ming

89

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

E-Print Network [OSTI]

Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Ed.. Editor: Jan

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

90

Numerical Weather Predictions (NWP) can be regarded as the backbone for energy meteorol-  

E-Print Network [OSTI]

power forecast errors for Germany are in the range of 5-6% while single wind farm forecast errors are higher (between 14% and 17% for onshore wind farms and 14-22% for offshore wind farms) due to the missing and distribution system operators (TSOs and DSOs), wind farm operators and energy traders. Day-ahead RMSE wind

Heinemann, Detlev

91

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

E-Print Network [OSTI]

andvalidation. SolarEnergy. 73:5,307? Perez,R. ,irradianceforecastsforsolarenergyapplicationsbasedonforecastdatabase. SolarEnergy. 81:6,809?812.

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

92

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

93

Simple intrinsic defects in InAs : numerical predictions.  

SciTech Connect (OSTI)

This Report presents numerical tables summarizing properties of intrinsic defects in indium arsenide, InAs, as computed by density functional theory using semi-local density functionals, intended for use as reference tables for a defect physics package in device models.

Schultz, Peter Andrew

2013-03-01T23:59:59.000Z

94

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

95

Prediction of Thermoacoustic Instabilities: Numerical Study of Mach number Effects.  

E-Print Network [OSTI]

Montpellier , France This paper presents a method for the prediction of combustion instability in gas turbine in the frequency domain as an eigenvalue problem. Flame-acoustic interaction is considered using an n - -model is applicable to complex geometries. The appearance and convection of entropy waves and as well

Nicoud, Franck

96

Numerical and analytical modeling of sanding onset prediction  

E-Print Network [OSTI]

results vary with the selection of one or another rock strength criterion. In this work, we present four commonly used rock strength criteria in sanding onset prediction and wellbore stability studies: Mohr-Coulomb, Hoek-Brown, Drucker-Prager, and Modified...

Yi, Xianjie

2004-09-30T23:59:59.000Z

97

A theoretical and numerical procedure for predicting sailing yacht lift and drag  

E-Print Network [OSTI]

In this thesis, a theoretical and numerical procedure for predicting the effects of viscosity on the hydrodynamic forces developed by a sailing yacht hull is presented. A simultaneous viscous/inviscid algorithm is developed ...

Cairoli, Claudio, 1975-

2007-01-01T23:59:59.000Z

98

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

99

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

100

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

Note: This page contains sample records for the topic "numerical weather prediction" 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

The impact of Greenland on the predictability of European weather systems Supervisors: Sue Gray (U. Reading), Ian Renfrew (U. East Anglia) and Richard Swinbank (Met  

E-Print Network [OSTI]

The impact of Greenland on the predictability of European weather systems Supervisors: Sue Gray (U-to-high latitude of Greenland means it has a major influence on the atmospheric circulation of the North Atlantic by the presence of Greenland as is the atmosphere well downstream, for example over the British Isles

Renfrew, Ian

102

First principles predictions of intrinsic defects in aluminum arsenide, AlAs : numerical supplement.  

SciTech Connect (OSTI)

This Report presents numerical tables summarizing properties of intrinsic defects in aluminum arsenide, AlAs, as computed by density functional theory. This Report serves as a numerical supplement to the results published in: P.A. Schultz, 'First principles predictions of intrinsic defects in Aluminum Arsenide, AlAs', Materials Research Society Symposia Proceedings 1370 (2011; SAND2011-2436C), and intended for use as reference tables for a defect physics package in device models.

Schultz, Peter Andrew

2012-04-01T23:59:59.000Z

103

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

104

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

105

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

106

Probe measurements and numerical model predictions of evolving size distributions in premixed flames  

SciTech Connect (OSTI)

Particle size distributions (PSDs), measured with a dilution probe and a Differential Mobility Analyzer (DMA), and numerical predictions of these PSDs, based on a model that includes only coagulation or alternatively inception and coagulation, are compared to investigate particle growth processes and possible sampling artifacts in the post-flame region of a C/O = 0.65 premixed laminar ethylene-air flame. Inputs to the numerical model are the PSD measured early in the flame (the initial condition for the aerosol population) and the temperature profile measured along the flame's axial centerline. The measured PSDs are initially unimodal, with a modal mobility diameter of 2.2 nm, and become bimodal later in the post-flame region. The smaller mode is best predicted with a size-dependent coagulation model, which allows some fraction of the smallest particles to escape collisions without resulting in coalescence or coagulation through the size-dependent coagulation efficiency ({gamma}{sub SD}). Instead, when {gamma} = 1 and the coagulation rate is equal to the collision rate for all particles regardless of their size, the coagulation model significantly under predicts the number concentration of both modes and over predicts the size of the largest particles in the distribution compared to the measured size distributions at various heights above the burner. The coagulation ({gamma}{sub SD}) model alone is unable to reproduce well the larger particle mode (mode II). Combining persistent nucleation with size-dependent coagulation brings the predicted PSDs to within experimental error of the measurements, which seems to suggest that surface growth processes are relatively insignificant in these flames. Shifting measured PSDs a few mm closer to the burner surface, generally adopted to correct for probe perturbations, does not produce a better matching between the experimental and the numerical results. (author)

De Filippo, A.; Sgro, L.A.; Lanzuolo, G.; D'Alessio, A. [Dipartimento di Ingegneria Chimica, Universita degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli (Italy)

2009-09-15T23:59:59.000Z

107

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

108

Fast and accurate prediction of numerical relativity waveforms from binary black hole mergers using surrogate models  

E-Print Network [OSTI]

Simulating a binary black hole coalescence by solving Einstein's equations is computationally expensive, requiring days to months of supercomputing time. In this paper, we construct an accurate and fast-to-evaluate surrogate model for numerical relativity (NR) waveforms from non-spinning binary black hole coalescences with mass ratios from $1$ to $10$ and durations corresponding to about $15$ orbits before merger. Our surrogate, which is built using reduced order modeling techniques, is distinct from traditional modeling efforts. We find that the full multi-mode surrogate model agrees with waveforms generated by NR to within the numerical error of the NR code. In particular, we show that our modeling strategy produces surrogates which can correctly predict NR waveforms that were {\\em not} used for the surrogate's training. For all practical purposes, then, the surrogate waveform model is equivalent to the high-accuracy, large-scale simulation waveform but can be evaluated in a millisecond to a second dependin...

Blackman, Jonathan; Galley, Chad R; Szilagyi, Bela; Scheel, Mark A; Tiglio, Manuel; Hemberger, Daniel A

2015-01-01T23:59:59.000Z

109

Mesoscale predictability and background error convariance estimation through ensemble forecasting  

E-Print Network [OSTI]

Over the past decade, ensemble forecasting has emerged as a powerful tool for numerical weather prediction. Not only does it produce the best estimate of the state of the atmosphere, it also could quantify the uncertainties associated with the best...

Ham, Joy L

2002-01-01T23:59:59.000Z

110

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

SciTech Connect (OSTI)

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

111

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

SciTech Connect (OSTI)

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

112

Numerical  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the ContributionsArms Control R&DNuclear fuel recycling in 4vs. Secondary9 0Numerical

113

Defect reaction network in Si-doped InP : numerical predictions.  

SciTech Connect (OSTI)

This Report characterizes the defects in the defect reaction network in silicon-doped, n-type InP deduced from first principles density functional theory. The reaction network is deduced by following exothermic defect reactions starting with the initially mobile interstitial defects reacting with common displacement damage defects in Si-doped InP until culminating in immobile reaction products. The defect reactions and reaction energies are tabulated, along with the properties of all the silicon-related defects in the reaction network. This Report serves to extend the results for intrinsic defects in SAND 2012-3313: %E2%80%9CSimple intrinsic defects in InP: Numerical predictions%E2%80%9D to include Si-containing simple defects likely to be present in a radiation-induced defect reaction sequence.

Schultz, Peter Andrew

2013-10-01T23:59:59.000Z

114

Commercial Weatherization  

Broader source: Energy.gov [DOE]

Commercial buildings consume 19 percent of the energy used in the U.S. Learn how the Energy Department is supporting research and deployment on commercial weatherization.

115

Fast and accurate prediction of numerical relativity waveforms from binary black hole mergers using surrogate models  

E-Print Network [OSTI]

Simulating a binary black hole coalescence by solving Einstein's equations is computationally expensive, requiring days to months of supercomputing time. In this paper, we construct an accurate and fast-to-evaluate surrogate model for numerical relativity (NR) waveforms from non-spinning binary black hole coalescences with mass ratios from $1$ to $10$ and durations corresponding to about $15$ orbits before merger. Our surrogate, which is built using reduced order modeling techniques, is distinct from traditional modeling efforts. We find that the full multi-mode surrogate model agrees with waveforms generated by NR to within the numerical error of the NR code. In particular, we show that our modeling strategy produces surrogates which can correctly predict NR waveforms that were {\\em not} used for the surrogate's training. For all practical purposes, then, the surrogate waveform model is equivalent to the high-accuracy, large-scale simulation waveform but can be evaluated in a millisecond to a second depending on the number of output modes and the sampling rate. Our model includes all spherical-harmonic ${}_{-2}Y_{\\ell m}$ waveform modes that can be resolved by the NR code up to $\\ell=8$, including modes that are typically difficult to model with other approaches. We assess the model's uncertainty, which could be useful in parameter estimation studies seeking to incorporate model error. We anticipate NR surrogate models to be useful for rapid NR waveform generation in multiple-query applications like parameter estimation, template bank construction, and testing the fidelity of other waveform models.

Jonathan Blackman; Scott E. Field; Chad R. Galley; Bela Szilagyi; Mark A. Scheel; Manuel Tiglio; Daniel A. Hemberger

2015-02-26T23:59:59.000Z

116

Weatherization Roundup  

Broader source: Energy.gov [DOE]

More than 750 thousand homes were weatherized by the Departments Weatherization Assistance Program in the past three years. Secretary Chu spoke with governors and members of Congress around the country to celebrate this huge accomplishment -- which was finished ahead of schedule and is saving the average household $400 annually on their heating and cooling bills.

117

Weatherizing America  

Broader source: Energy.gov [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...

118

Weatherizing America  

ScienceCinema (OSTI)

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 again, but also to find a calling.

Stewart, Zachary; Bergeron, T.J.; Barth, Dale; Qualis, Xavier; Sewall, Travis; Fransen, Richard; Gill, Tony;

2013-05-29T23:59:59.000Z

119

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

120

Tribological testing of sliders on discrete track media and verification with numerical predictions  

E-Print Network [OSTI]

Technol (2009) 15:15971603 DOI 10.1007/s00542-009-0816-3Technol (2009) 15:15971603 femto 1 femto 2 femto 3 femto 4Technol (2009) 15:15971603 Table 2 Predicted ?ying height

Duwensee, Maik; Lee, D. E.; Yoon, Y.; Talke, F. E.; Suzuki, S.; Lin, J.

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "numerical weather prediction" 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

Residential Weatherization  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared atEffectquestionnairesU.S. EnergyEnergy53 2.370Weatherization

122

Weatherization Training for South Carolina's Muggy Weather  

Broader source: Energy.gov [DOE]

Why it makes sense for one technical college in Charleston, South Carolina is adding weatherization programs to their curriculum.

123

Cathy Zoi on Weatherization  

ScienceCinema (OSTI)

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

2013-05-29T23:59:59.000Z

124

Cathy Zoi on Weatherization  

SciTech Connect (OSTI)

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

125

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

126

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

127

Intelligent weather agent for aircraft severe weather avoidance  

E-Print Network [OSTI]

avoidance capability has increased. In this thesis, an intelligent weather agent is developed for general aviation aircraft. Using a radar image from an onboard weather radar, the intelligent weather agent determines the safest path around severe weather...

Bokadia, Sangeeta

2002-01-01T23:59:59.000Z

128

Calibrating DOE-2 to weather and non-weather-dependent loads for a commercial building  

E-Print Network [OSTI]

6. 1. 1 Predicted Chilled Water and Hot Water Consumption. . . . . . . . , . . . 102 6. 1. 2 Whole-building Electricity Consumption . . . 6. 2 Base Model Results Using Austin, TX TMY Weather Data. . . . 104 106 vnt CHAPTl'R VII WHOLE...

Bronson, John Douglas

2012-06-07T23:59:59.000Z

129

Weather-Corrected Performance Ratio  

SciTech Connect (OSTI)

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

130

Critical Fire Weather Patterns  

E-Print Network [OSTI]

.1 Sundowner Winds FAT -- 1.1 Southeastern U.S. Fire Weather LIT -- 1.1 East Winds MFR -- 1.1 East Winds OLM

Clements, Craig

131

Cathy Zoi on Weatherization | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Weatherization Cathy Zoi on Weatherization Addthis Description The Weatherization Assistance Program is now weatherizing 25,000 homes each month. So far 10,000 jobs have been...

132

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.

133

Home Weatherization Visit  

ScienceCinema (OSTI)

Secretary Steven Chu visits a home that is in the process of being weatherized in Columbus, OH, along with Ohio Governor Ted Strickland and Columbus Mayor Michael Coleman. They discuss the benefits of weatherization and how funding from the recovery act is having a direct impact in communities across America.

Chu, Steven

2013-05-29T23:59:59.000Z

134

Immersed Boundary Methods for High-Resolution Simulation of Atmospheric Boundary-Layer Flow Over Complex Terrain  

E-Print Network [OSTI]

in todays numerical weather prediction models is stillability of a numerical weather prediction model to predictthe context of numerical weather prediction models. The two-

Lundquist, Katherine Ann

2010-01-01T23:59:59.000Z

135

Solar forecasting review  

E-Print Network [OSTI]

of all Numerical Weather Prediction (NWP models). First aof all Numerical Weather Prediction (NWP models). First apersistence models, numerical weather predictions as well as

Inman, Richard Headen

2012-01-01T23:59:59.000Z

136

Assessing the Impacts of Different WRF Precipitation Physics in Hurricane Simulations  

E-Print Network [OSTI]

ABSTRACT Numerical weather prediction models play a majorthat numerical weather prediction models are particularlymodel with numerical weather prediction models (Olson et al.

Nasrollahi, Nasrin; AghaKouchak, Amir; Li, Jialun; Gao, Xiaogang; Hsu, Kuolin; Sorooshian, Soroosh

2012-01-01T23:59:59.000Z

137

Diurnal to annual variations in the atmospheric water cycle  

E-Print Network [OSTI]

global numerical weather prediction models. Investigationsknown problem in numerical weather prediction models, wheremodel. Preprint, 11 th AMS Conference on Numerical Weather Prediction,

Ruane, Alexander C.

2007-01-01T23:59:59.000Z

138

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

139

Interactions of Water and Energy Mediate Responses of High-Latitude Terrestrial Ecosystems to Climate Change  

E-Print Network [OSTI]

into the numerical weather prediction model COSMO. Borealinto the numerical weather prediction model COSMO. BorealCurrent numerical weather prediction (NWP) models, regional

Subin, Zachary Marc

2012-01-01T23:59:59.000Z

140

Cluster analysis of cloud properties : a method for diagnosing cloud-climate feedbacks  

E-Print Network [OSTI]

from a numerical weather prediction model over approximatelyto analyses from numerical weather prediction models but isconstrains numerical weather prediction (NWP) model output

Gordon, Neil D.

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "numerical weather prediction" 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

SPACE WEATHER, VOL. 11, 529541, doi:10.1002/swe.20092, 2013 A survey of customers of space  

E-Print Network [OSTI]

SPACE WEATHER, VOL. 11, 529541, doi:10.1002/swe.20092, 2013 A survey of customers of space weather August 2013; published 24 September 2013. [1] We present an analysis of the users of space weather information based on 2783 responses to an online survey among subscribers of NOAA's Space Weather Prediction

Schrijver, Karel

142

Weatherizing Wilkes-Barre  

Broader source: Energy.gov [DOE]

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.

143

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

144

Weatherizing Wilkes-Barre  

SciTech Connect (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

2010-01-01T23:59:59.000Z

145

WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$0.C.Greentnv~ronmenrar ivronrrorrng L V ~ / O Ui

146

DREAM tool increases space weather predictions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic2005-2007 Budget Dear2, 2011DREAM tool

147

Leaky guided waves in generic bars: Numerical prediction and experimental validation by means of ultrasonic underwater testing  

SciTech Connect (OSTI)

Guided Ultrasonic Waves (GUWs) are used in several industrial and civil applications for the non-destructive tests and inspection of mechanical waveguides immersed in fluids. As well known, the impedance mismatch at the fluid-structure interface causes the bulk waves traveling inside the waveguide to be partially refracted in the surrounding fluid. The leakage of bulk waves involves continuous energy radiation along the propagation direction, resulting in high attenuation rates and, consequently, reduced inspection ranges. In this work, the dispersion behaviour of leaky guided waves that propagate in immersed waveguides of general cross-section is investigated. To this end, a Semi-Analytical Finite Element (SAFE) method coupled with a 2.5D Boundary Element method (BEM) is used to extract the wave dispersion equation. The proposed formulation avoids the well known limitations of analytical methods in treating complex geometries as well as those of Finite Element-based methods in representing propagation processes in unbounded domains. Numerical and experimental results are presented, in which the dispersion curves are extracted for different bars of arbitrary shape immersed in water. The results obtained in this paper can be useful for the design of testing conditions in practical applications and to tune experimental set up.

Mazzotti, Matteo; Bartoli, Ivan [Civil, Architectural and Environmental Engineering (CAEE) Department, Drexel University, 3141 Chestnut St., Philadelphia PA 19104 (United States); Marzani, Alessandro [Dipartimento di Ingegneria Civile, Ambientale e dei Materiali (DICAM), Universit degli Studi di Bologna, Viale Risorgimento 2, Bologna 40136 (Italy)

2014-02-18T23:59:59.000Z

148

Developing hourly weather data for locations having only daily weather data  

SciTech Connect (OSTI)

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

149

Where fast weathering creates thin regolith and slow weathering creates thick regolith  

SciTech Connect (OSTI)

Weathering disaggregates rock into regolith the fractured or granular earthmaterial that sustains life on the continental land surface. Here, we investigate what controls the depth of regolith formed on ridges of two rock compositions with similar initial porosities in Virginia (USA).A priori, we predicted that the regolith on diabasewould be thicker than on granite because the dominant mineral (feldspar) in the diabase weathers faster than its granitic counterpart. However, weathering advanced 20deeper into the granite than the diabase. The 20-thicker regolith is attributed mainly to connected micron-sized pores, microfractures formed around oxidizing biotite at 20m depth, and the lower iron (Fe) content in the felsic rock. Such porosity allows pervasive advection and deep oxidation in the granite. These observations may explainwhy regolithworldwide is thicker on felsic compared tomafic rock under similar conditions. To understand regolith formationwill require better understanding of such deep oxidation reactions and how they impact fluid flow during weathering.

Bazilevskaya, Ekaterina [Pennsylvania State University, University Park, PA; Lebedeva, Marina [Pennsylvania State University, University Park, PA; Pavich, Milan [U.S. Geological Survey, Reston, VA; Rother, Gernot [ORNL; Parkinson, D. Y. [Advanced Light Source, LBNL; Cole, David [Ohio State University; Brantley, S. L. [Pennsylvania State University, University Park, PA

2012-01-01T23:59:59.000Z

150

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

SciTech Connect (OSTI)

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

151

Portland Diversifying Weatherization Workforce  

Broader source: Energy.gov [DOE]

An agreement signed by a diverse group of stakeholders ensures that those in disadvantaged communities have access to some of the weatherization jobs stemming from the pilot phase of the Clean Energy Works Portland program, which has almost 500 homes receiving retrofits through the summer with the help of federal dollars.

152

accelerated weathering: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Winter Weather Safety www.weather.gov SnowIce Blizzards Flooding Cold Temperatures 12;Building a Weather 5 Weather Theory Weather Reports, Forcasts and...

153

Useful Weather Links Nolan Doesken  

E-Print Network [OSTI]

Useful Weather Links Nolan Doesken Odie Bliss Colorado Climate Center Presented at Professional://www.weather.gov/nwr/ #12;City of Fort Collins Alert Network ­ Rainfall and Streamflow http

154

Multiscale dynamics of atmospheric and oceanic variability in the climate system  

E-Print Network [OSTI]

Filtering) for Numerical Weather Prediction models wereNumerical Weather Prediction (NWP) in meteorology, caused ocean models

Subramanian, Aneesh C.

2012-01-01T23:59:59.000Z

155

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

Broader source: Energy.gov (indexed) [DOE]

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

156

Weatherization Assistance Program: Spurring Innovation, Increasing...  

Energy Savers [EERE]

Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency...

157

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,...

158

Leveraging Resources for the Weatherization Innovation Pilot...  

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

the Weatherization Innovation Pilot Program (WIPP) - Webinar Transcript Leveraging Resources for the Weatherization Innovation Pilot Program (WIPP) - Webinar Transcript This...

159

Leveraging Resources for Weatherization Innovation Pilot Projects...  

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

Weatherization Innovation Pilot Projects (WIPP) Presentation Leveraging Resources for Weatherization Innovation Pilot Projects (WIPP) Presentation As a WIPP agency, reporting...

160

Subscribe to Weatherization and Intergovernmental Program Office...  

Broader source: Energy.gov (indexed) [DOE]

Subscribe to Weatherization and Intergovernmental Program Office Newsletters Subscribe to Weatherization and Intergovernmental Program Office Newsletters You can subscribe to...

Note: This page contains sample records for the topic "numerical weather prediction" 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 Assistance Program  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| DepartmentVolvoWaterWeatherization Assistance Program

162

Weather Photos - Hanford Site  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and Materials Disposition3 WaterFebruary 18,theWeather

163

Weather Photos - Hanford Site  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and Materials Disposition3 WaterFebruary 18,theWeather

164

Weather Photos - Hanford Site  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and Materials Disposition3 WaterFebruary 18,theWeather

165

Weather Photos - Hanford Site  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and Materials Disposition3 WaterFebruary 18,theWeather

166

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

E-Print Network [OSTI]

INTRODUCTION .............................................................................. 1 CHAPTER II THE MODELING OF WEATHER VARIABLES WITH COPULA APPROACH..................................................................... 3 Introduction... 1 CHAPTER I INTRODUCTION Stochastic Weather Generators (SWG) are numerical models that try to reproduce the statistical properties from observed historical climate series. Climatological variables are complex systems, characterized by high...

Juarez Torres, Miriam 77-

2012-08-31T23:59:59.000Z

167

Products and Service of Center for Weather Forecast and Climate Studies  

E-Print Network [OSTI]

LOG O Products and Service of Center for Weather Forecast and Climate Studies Simone Sievert da products Supercomputer Facilities DSA/CPTEC-INPE Monitoring products based on remote sensing Training products Numerical Forecast Products Weather discussion Colleting data platform #12;Atmospheric Chemistry

168

Bishop Paiute Weatherization Training Program  

SciTech Connect (OSTI)

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

169

Weatherization Apprenticeship Program  

SciTech Connect (OSTI)

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

170

artificial weathering environment: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Nation Winter Weather Hazards Winter Weather Safety www.weather.gov SnowIce Blizzards Flooding Cold Temperatures 12;Building a Weather 37 4....

171

Regional-seasonal weather forecasting  

SciTech Connect (OSTI)

In the interest of allocating heating fuels optimally, the state-of-the-art for seasonal weather forecasting is reviewed. A model using an enormous data base of past weather data is contemplated to improve seasonal forecasts, but present skills do not make that practicable. 90 references. (PSB)

Abarbanel, H.; Foley, H.; MacDonald, G.; Rothaus, O.; Rudermann, M.; Vesecky, J.

1980-08-01T23:59:59.000Z

172

Tacoma Power- Residential Weatherization Rebate Program  

Broader source: Energy.gov [DOE]

Tacoma Power helps residential customers increase the energy efficiency of homes through the utility's residential weatherization program. Weatherization upgrades to windows are eligible for an...

173

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...

174

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...

175

WEATHER MODIFICATION BY CARBON DUST ABSORPTION OF SOLAR ENERGY  

E-Print Network [OSTI]

WEATHER MODIFICATION BY CARBON DUST ABSORPTION OF SOLAR ENERGY by WM. M. GRAY, WM. M. FRANK, M OF SOLAR ENERGY by w. M. Gray, W. M. Frank, M. L. Corrin and C. A. Stokes Department of Atmospheric Science interception of solar energy. Growing population pressures and predicted future global food shortages dictate

Gray, William

176

WeatherMaker: Weather file conversion and evaluation  

SciTech Connect (OSTI)

WeatherMaker is a weather-data utility for use with the ENERGY-10 design-tool computer program. The three main features are: Convert--Weather files can be converted from one format to another. For example, a TMY2 format file can be converted to an ENERGY-10 binary file that can be used in a simulation. This binary file can then be converted to a text format that allows it to be read and/or manipulated in WordPad or Excel. Evaluate--ENERGY-10 weather files can be studied in great detail. There are 8 graphical displays of the data that provide insight into the data, and a summary tables that presents results calculated from the hourly data. Adjust--Hourly temperature data can be adjusted starting with hourly data from a nearby TMY2 site. Dry-bulb and wet-bulb temperatures are adjusted up or down as required to match given monthly statistics. This feature can be used to generate weather files for any of 3,958 sites in the US where such monthly statistics are tabulated. The paper shows a variety of results, explains the methods used, and discusses the rationale for making the adjustments. It is anticipated that WeatherMaker will be released by the time of the ASES Solar 99 conference.

Balcomb, J.D.

1999-07-01T23:59:59.000Z

177

Oldest and Largest The Weather  

E-Print Network [OSTI]

MIT's Oldest and Largest Newspaper The Weather Today: Clear skies, 45°F (70C) Tonight: Clear, cool Eilts, former U.S. Ambassador to Saudi Arabia and Egypt and Professor Emeritus of Inter- national

178

This Day in Weather History for southeast Minnesota, northeast Iowa, and western Wisconsin  

E-Print Network [OSTI]

this part of the Upper Mississippi River Valley, information for severe weather, and information and charts Regional Climate Center (MRCC), and Storm Prediction Center (SPC) archives; various newspaper archives

179

Low-Income Weatherization: The Human Dimension  

Broader source: Energy.gov [DOE]

This presentation focuses on how the human dimension saves energy within low-income weatherization programs.

180

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

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

Note: This page contains sample records for the topic "numerical weather prediction" 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

Attic or Roof? An Evaluation of Two Advanced Weatherization Packages  

SciTech Connect (OSTI)

This project examines implementation of advanced retrofit measures in the context of a large-scale weatherization program and the archetypal Chicago brick bungalow. One strategy applies best practice air sealing methods and a standard insulation method to the attic floor. The other strategy creates an unvented roof assembly using materials and methods typically available to weatherization contractors. Through implementations of the retrofit strategies in a total of eight (8) test homes, the research found that the two different strategies achieve similar reductions in air leakage measurement (55%) and predicted energy performance (18%) relative to the pre-retrofit conditions.

Neuhauser, K.

2012-06-01T23:59:59.000Z

182

Figure 1. Day 1 SPC Fire Weather Outlook graphic showing a critical area over parts of the western U.S.,  

E-Print Network [OSTI]

Figure 1. Day 1 SPC Fire Weather Outlook graphic showing a critical area over parts of the western. INTRODUCTION The Storm Prediction Center (SPC) in Norman, OK prepares national Fire Weather Outlooks valid thunderstorms, result in a significant threat of wildfires. The SPC Fire Weather Outlook contains both a text

183

The Prediction of Extratropical Storm Tracks by the ECMWF and NCEP Ensemble Prediction Systems  

E-Print Network [OSTI]

The Prediction of Extratropical Storm Tracks by the ECMWF and NCEP Ensemble Prediction Systems 2006) ABSTRACT The prediction of extratropical cyclones by the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction (NCEP) ensemble prediction systems

Froude, Lizzie

184

Numerical Prediction of Experimentally Observed Behavior of a Scale Model of an Offshore Wind Turbine Supported by a Tension-Leg Platform: Preprint  

SciTech Connect (OSTI)

Realizing the critical importance the role physical experimental tests play in understanding the dynamics of floating offshore wind turbines, the DeepCwind consortium conducted a one-fiftieth-scale model test program where several floating wind platforms were subjected to a variety of wind and wave loading condition at the Maritime Research Institute Netherlands wave basin. This paper describes the observed behavior of a tension-leg platform, one of three platforms tested, and the systematic effort to predict the measured response with the FAST simulation tool using a model primarily based on consensus geometric and mass properties of the test specimen.

Prowell, I.; Robertson, A.; Jonkman, J.; Stewart, G. M.; Goupee, A. J.

2013-01-01T23:59:59.000Z

185

Homes Weatherized by State March 2010 | Department of Energy  

Energy Savers [EERE]

March 2010 Homes Weatherized by State March 2010 Weatherization Assistance Program Homes Weatherized By State through 03312010 HomesWeatherizedbyStateQ12010.pdf More...

186

U.S. Department of Energy Weatherization Assistance Program Homes...  

Broader source: Energy.gov (indexed) [DOE]

S. Department of Energy Weatherization Assistance Program Homes Weatherized By State through 06302010 (Calendar Year) U.S. Department of Energy Weatherization Assistance Program...

187

Numerical prediction of heat-flux to massive calorimeters engulfed in regulatory fires with the cask analysis fire environment (CAFE) model  

SciTech Connect (OSTI)

Recent observations show that the thermal boundary conditions within large-scale fires are significantly affected by the presence of thermally massive objects. These objects cool the soot and gas near their surfaces, and these effects reduce the incoming radiant heat-flux to values lower than the levels expected from simple {sigma}T{sub fire}{sup 4} models. They also affect the flow and temperature fields in the fire far from their surfaces. The Cask Analysis Fire Environment (CAFE) code has been developed at Sandia National Laboratories to provide an enhanced fire boundary condition for the design of radioactive material packages. CAFE is a set of computer subroutines that use computational fluid mechanics methods to predict convective heat transfer and mixing. It also includes models for fuel and oxygen transport, chemical reaction, and participating-media radiation heat transfer. This code uses two-dimensional computational models so that it has reasonably short turnaround times on standard workstations and is well suited for design and risk studies. In this paper, CAFE is coupled with a commercial finite-element program to model a large cylindrical calorimeter fully engulfed in a pool fire. The time-dependent heat-flux to the calorimeter and the calorimeter surface temperature are determined for several locations around the calorimeter circumference. The variation of heat-flux with location is determined for calorimeters with different diameters and wall thickness, and the observed effects discussed.

KOSKI,JORMAN A.; SUO-ANTITLA,AHTI; KRAMER,M. ALEX; GREINER,MILES

2000-05-11T23:59:59.000Z

188

Weather-based forecasts of California crop yields  

SciTech Connect (OSTI)

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

189

Towards Ultra-High Resolution Models of Climate and Weather To appear in the International Journal of High Performance Computing Applications, 2008.  

E-Print Network [OSTI]

affordable cost and power considerations. The major conceptual changes required by a kilometer scale climate climate change and weather prediction is one of the most important challenges facing computa- tional fidelity in both short term weather prediction and long term climate change estimates will be better met

Oliker, Leonid

190

200,000 homes weatherized under the Recovery Act  

Broader source: Energy.gov [DOE]

Today Vice President Biden announced that the Weatherization Assistance Program has weatherized 200,000 homes under the Recovery Act.

191

Evaluation of Mixed-Phase Cloud Parameterizations in Short-Range Weather Forecasts with CAM3 and AM2 for Mixed-Phase Arctic Cloud Experiment  

SciTech Connect (OSTI)

By making use of the in-situ data collected from the recent Atmospheric Radiation Measurement Mixed-Phase Arctic Cloud Experiment, we have tested the mixed-phase cloud parameterizations used in the two major U.S. climate models, the National Center for Atmospheric Research Community Atmosphere Model version 3 (CAM3) and the Geophysical Fluid Dynamics Laboratory climate model (AM2), under both the single-column modeling framework and the U.S. Department of Energy Climate Change Prediction Program-Atmospheric Radiation Measurement Parameterization Testbed. An improved and more physically based cloud microphysical scheme for CAM3 has been also tested. The single-column modeling tests were summarized in the second quarter 2007 Atmospheric Radiation Measurement metric report. In the current report, we document the performance of these microphysical schemes in short-range weather forecasts using the Climate Chagne Prediction Program Atmospheric Radiation Measurement Parameterizaiton Testbest strategy, in which we initialize CAM3 and AM2 with realistic atmospheric states from numerical weather prediction analyses for the period when Mixed-Phase Arctic Cloud Experiment was conducted.

Xie, S; Boyle, J; Klein, S; Liu, X; Ghan, S

2007-06-01T23:59:59.000Z

192

The Annals of Applied Statistics 2008, Vol. 2, No. 4, 11701193  

E-Print Network [OSTI]

. Operationally, short-range forecasts of precipitation are based on numerical weather prediction (NWP) models of agricultural, hydrological, ecological and other applications. Forecasts from numerical weather prediction forecast, Gamma distribu- tion, latent Gaussian process, numerical weather prediction, power truncated

Raftery, Adrian

193

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

E-Print Network [OSTI]

for better insulation and protection. Rainwater bio-retention areas and a storm water cistern collect water for irrigation, and a four-story rainwater waterfall efficiently drains the non-green portion of the roof. NOAA

194

Predicting the microbial "weather" | Argonne National Laboratory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar Home Design PassivePostdoctoralKanareykin,U DPre-Combustion

195

Five case studies of multifamily weatherization programs  

SciTech Connect (OSTI)

The multifamily case studies that are the subject of this report were conducted to provide a better understanding of the approach taken by program operators in weatherizing large buildings. Because of significant variations in building construction and energy systems across the country, five states were selected based on their high level of multifamily weatherization. This report summarizes findings from case studies conducted by multifamily weatherization operations in five cities. The case studies were conducted between January and November 1994. Each of the case studies involved extensive interviews with the staff of weatherization subgrantees conducting multifamily weatherization, the inspection of 4 to 12 buildings weatherized between 1991 and 1993, and the analysis of savings and costs. The case studies focused on innovative techniques which appear to work well.

Kinney, L; Wilson, T.; Lewis, G. [Synertech Systems Corp. (United States)] [Synertech Systems Corp. (United States); MacDonald, M. [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States)

1997-12-31T23:59:59.000Z

196

Radar remote sensing of the lower atmosphere  

E-Print Network [OSTI]

from a numerical weather prediction (NWP) model is examined.numerical weather prediction and empirical site-specific radar clutter models,

Karimian, Ali

2012-01-01T23:59:59.000Z

197

Chelan County PUD- Residential Weatherization Rebate Program  

Broader source: Energy.gov [DOE]

Chelan County PUD offers cash rebates to residential customers who make energy efficient weatherization improvements to eligible homes. Eligible measures include efficient windows doors as well as...

198

Training Program Graduates Weatherization-Ready Workers  

Broader source: Energy.gov [DOE]

Graduates of Human Capital Development Corporation's (HCDC) First Choice Program aren't just trained in areas of construction, they also can tackle home weatherization services.

199

Connecticut Weatherization Project Improves Lives, Receives National...  

Energy Savers [EERE]

Lives, Receives National Recognition May 6, 2014 - 12:24pm Addthis Donna Hawkins Technology Transfer Specialist, Weatherization Assistance Program Harris Walker Communications...

200

Idaho Falls Power- Residential Weatherization Loan Program  

Broader source: Energy.gov [DOE]

Residential customers with permanently installed electric heat who receive service from the City of Idaho Falls, are eligible for 0% weatherization loans. City Energy Service will conduct an...

Note: This page contains sample records for the topic "numerical weather prediction" 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

Aging and weathering of cool roofing membranes  

SciTech Connect (OSTI)

Aging and weathering can reduce the solar reflectance of cool roofing materials. This paper summarizes laboratory measurements of the solar spectral reflectance of unweathered, weathered, and cleaned samples collected from single-ply roofing membranes at various sites across the United States. Fifteen samples were examined in each of the following six conditions: unweathered; weathered; weathered and brushed; weathered, brushed and then rinsed with water; weathered, brushed, rinsed with water, and then washed with soap and water; and weathered, brushed, rinsed with water, washed with soap and water, and then washed with an algaecide. Another 25 samples from 25 roofs across the United States and Canada were measured in their unweathered state, weathered, and weathered and wiped. We document reduction in reflectivity resulted from various soiling mechanisms and provide data on the effectiveness of various cleaning approaches. Results indicate that although the majority of samples after being washed with detergent could be brought to within 90% of their unweathered reflectivity, in some instances an algaecide was required to restore this level of reflectivity.

Akbari, Hashem; Berhe, Asmeret A.; Levinson, Ronnen; Graveline,Stanley; Foley, Kevin; Delgado, Ana H.; Paroli, Ralph M.

2005-08-23T23:59:59.000Z

202

Weatherization Formula Grants - American Recovery and Reinvestment...  

Energy Savers [EERE]

Act of 2009 waprecoveryactfoa.pdf More Documents & Publications Microsoft Word - nDE-FOA-0000051.rtf Weatherization Formula Grants - American Recovery and Reinvestment Act...

203

The Weatherization Training program at Pennsylvania College ...  

Broader source: Energy.gov (indexed) [DOE]

alone. Speakers Jeff Melville, Jack Wilson, John Manz, Kirk Gannett, Franzenia Smith, Duration 4:07 Topic Home Weatherization Education & Training Credit Energy Department...

204

RESIDENTIAL WEATHERIZATION SPECIFICATIONS August 30, 2011  

E-Print Network [OSTI]

RESIDENTIAL WEATHERIZATION SPECIFICATIONS August 30, 2011 Index to Sections Section Page I. GENERAL............................................................................................35 #12;1 I. GENERAL SPECIFICATIONS 1. These specifications apply to existing residential (retro

205

Weatherization Assistance Program (WAP) Closeout Frequently Asked...  

Broader source: Energy.gov (indexed) [DOE]

Program (WAP) Closeout Frequently Asked Questions Weatherization Assistance Program (WAP) Closeout Frequently Asked Questions This document provides a list of frequently asked...

206

Weatherization is a Winning Play for Wisconsin: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Wisconsin 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

207

Weatherization Grows in the Green Mountain State (Vermont): Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Vermont 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

208

Weatherization Makes Headlines in Connecticut: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Connecticut 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

209

Frosty Conditions Catalyze Weatherization Solutions: Maine Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Maine 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

210

New York Signals Weatherization Savings: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New York 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

211

Weatherization: Wyoming's Hidden Resource; Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Wyoming 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

212

Massachusetts Fosters the Weatherization Spirit: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Massachusetts 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

213

Weatherization Expands Access to Energy Savings (New Hampshire): Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New Hampshire 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

214

Weatherization: A Savvy Investment for Louisiana: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Louisiana 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

215

Weatherization Builds on Delaware's Innovative Past: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Delaware 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

216

Weatherization is a Hit in Michigan: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Michigan 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

217

The Spirit of North Dakota: Alive in Weatherization; Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

North Dakota 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

218

Weatherization Savings Peak in Alaska: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Alaska 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

219

Weatherization is a Sure Bet for Nevada: Weatherization Assistance Close-Up Fact Sheet.  

SciTech Connect (OSTI)

Nevada 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

220

Weatherization in Arkansas: A Gem of a Program: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Arkansas 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

Note: This page contains sample records for the topic "numerical weather prediction" 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

Weatherization: A Grand Program for Arizona: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Arizona 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

222

Weatherization Makes a Big Impact in Texas: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Texas 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

223

Weatherization Shines in California: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

California 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

224

Making Paradise More Affordable with Weatherization: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Hawaii 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

225

A Tribute to Weatherization Solutions in South Dakota: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

South Dakota 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

226

Weatherization Rises to the Top in Kansas: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Kansas 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

227

Weatherization Radiates Energy Savings in Florida: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Florida 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

228

Weatherization Spans the Efficiency Spectrum in Illinois: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Illinois 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

229

Taking Weatherization to New Heights in Colorado: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Colorado 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

230

Weatherization: A Gateway to Energy Efficiency; Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Missouri 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

231

Weatherization Savings Takes Root in New Mexico: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New Mexico 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

232

The Garden State Flourishes with Weatherization (New Jersey): Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New Jersey 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

233

Weatherization is a Natural Choice for Montana: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Montana 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

234

Weatherization Keeps Washington Green: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Washington 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

235

Weatherization Creates Spectacular Savings in Utah: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Utah 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

236

Weatherization Sails on Maryland's Legacy of Innovation: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Maryland 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

237

Weatherization Plays a Starring Role in Mississippi: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Mississippi 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

238

HISTORY OF WEATHER OBSERVATIONS MOUNT AUBURN, OHIO  

E-Print Network [OSTI]

HISTORY OF WEATHER OBSERVATIONS MOUNT AUBURN, OHIO 1861 - 1881 October 2004 Prepared By Glen Conner Center under the auspices of the Climate Database Modernization Program, NOAA's National Climatic Data;1 HISTORY OF WEATHER OBSERVATIONS MOUNT AUBURN, OHIO 1861-1881 Glen Conner Kentucky State Climatologist

Maynard, J. Barry

239

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

240

Alaska Native Weatherization Training and Jobs Program First Steps Toward Tribal Weatherization Human Capacity Development  

SciTech Connect (OSTI)

The Alaska Native Weatherization Training and Jobs Project expanded weatherization services for tribal members homes in southeast Alaska while providing weatherization training and on the job training (OJT) for tribal citizens that lead to jobs and most probably careers in weatherization-related occupations. The program resulted in; (a) 80 Alaska Native citizens provided with skills training in five weatherization training units that were delivered in cooperation with University of Alaska Southeast, in accordance with the U.S. Department of Energy Core Competencies for Weatherization Training that prepared participants for employment in three weatherizationrelated occupations: Installer, Crew Chief, and Auditor; (b) 25 paid OJT training opportunities for trainees who successfully completed the training course; and (c) employed trained personnel that have begun to rehab on over 1,000 housing units for weatherization.

Wiita, Joanne

2013-07-30T23:59:59.000Z

Note: This page contains sample records for the topic "numerical weather prediction" 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

Test Procedure for UV Weathering Resistance of Backsheet | Department...  

Broader source: Energy.gov (indexed) [DOE]

Test Procedure for UV Weathering Resistance of Backsheet Test Procedure for UV Weathering Resistance of Backsheet Presented at the PV Module Reliability Workshop, February 26 - 27...

242

WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND...  

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

WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND TECHNICAL ASSISTANCE FUNDS TO PROGRAM OPERATIONS WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND...

243

CLOSEOUT PROCEDURES FOR RECOVERY ACT GRANTS UNDER THE WEATHERIZATION...  

Broader source: Energy.gov (indexed) [DOE]

CLOSEOUT PROCEDURES FOR RECOVERY ACT GRANTS UNDER THE WEATHERIZATION ASSISTANCE PROGRAM CLOSEOUT PROCEDURES FOR RECOVERY ACT GRANTS UNDER THE WEATHERIZATION ASSISTANCE PROGRAM This...

244

Princeton and PPPL launch center to study volatile space weather...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

that constantly stream from the sun - and gives rise to space weather that can disrupt cell phone service, damage satellites and knock out power grids. Such stormy weather...

245

Illinois and Texas Towns See Weatherization Boost | Department...  

Broader source: Energy.gov (indexed) [DOE]

and Texas Towns See Weatherization Boost Illinois and Texas Towns See Weatherization Boost March 19, 2010 - 11:47am Addthis Stephen Graff Former Writer & editor for Energy...

246

arctic weather conditions: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

condition for a particular vessel. Keywords Weather Routing, Degraded Condition, Crisis Manage- ment Advice, Shortest Path Berlin,Technische Universitt 18 Weather...

247

Exploiting Weather Forecast Information in the Operation of ...  

E-Print Network [OSTI]

Mar 4, 2009 ... We argue that anticipating the weather conditions can lead to more ... The necessary uncertainty information is extracted from the weather...

Victor M Zavala

2009-03-04T23:59:59.000Z

248

Guidance on Utility Rate Estimations and Weather Normalization...  

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

and Weather Normalization in an ESPC Document explains how to use estimated energy rates and normalized weather data in determining an energy service company's (ESCO's)...

249

Appendix K - GPRA06 Weatherization and Intergovernmental Program...  

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

Appendix K - GPRA06 Weatherization and Intergovernmental Program (WIP) Documentation Appendix K - GPRA06 Weatherization and Intergovernmental Program (WIP) Documentation State...

250

Presentation at the Weatherization Program Deep Dive Briefing...  

Energy Savers [EERE]

4, 2009 U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization Assistance Program presentation at Weatherization Deep Dive...

251

DOE Announces $29 Million in Recovery Act Awards for Weatherization...  

Office of Environmental Management (EM)

expand weatherization training centers across the country. These projects will provide green job training for local workers in energy efficiency retrofitting and weatherization...

252

U.S. Department of Energy Weatherization Assistance Program  

Broader source: Energy.gov (indexed) [DOE]

homes weatherized with Recovery Act funding. The monthly data is preliminary and subject to change. ***Annual Program Year funding includes units weatherized through June 2010 only...

253

Revised Davis-Bacon Wage Determinations for the Weatherization...  

Broader source: Energy.gov (indexed) [DOE]

Revised Davis-Bacon Wage Determinations for the Weatherization Assistance Program Revised Davis-Bacon Wage Determinations for the Weatherization Assistance Program U.S. Department...

254

U.S. Department of Energy Weatherization Assistance Program  

Broader source: Energy.gov (indexed) [DOE]

report has not been submitted by state All data reported as of 101310 ***Annual Program Year funding includes units weatherized through June 2010 only. **Homes Weatherized...

255

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

256

State Home Oil Weatherization (SHOW) Program  

Broader source: Energy.gov [DOE]

Oregon homeowners and renters who heat with oil, wood, propane, kerosene, or butane are eligible for home weatherization rebates of up to $500. A variety of measures, including insulation, HVAC,...

257

The Weatherization Training program at Pennsylvania College  

SciTech Connect (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

2010-01-01T23:59:59.000Z

258

Carbon Monoxide Poisoning Avoided Through Weatherization | Department...  

Broader source: Energy.gov (indexed) [DOE]

systems in recipients' homes. "We had a chain -- one right after another," says Debbie Biggs, weatherization director for C-SCDC. "One had carbon monoxide levels so high we told...

259

Cowlitz County PUD- Residential Weatherization Plus Program  

Broader source: Energy.gov [DOE]

Cowlitz County PUD offers an incentive to residential customers who weatherize their homes. Eligible residences can be either site-built or manufactured homes, but must have a permanently installed...

260

Clark Public Utilities- Residential Weatherization Loan Program  

Broader source: Energy.gov [DOE]

Loans of up to $15,000 at a 5.25% interest are available through Clark Public Utilities' Weatherization Loan Program. The loans can pay for the average local cost of eligible measures, based on...

Note: This page contains sample records for the topic "numerical weather prediction" 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

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

262

Arizona Foundation Expands Weatherization Training Center | Department...  

Broader source: Energy.gov (indexed) [DOE]

upgrades for low-income residents, but in Maricopa County and the Phoenix area it also trains a good part of the weatherization workforce to do that. Expanding building science...

263

Human-Centered Systems Analysis of Aircraft Separation from Adverse Weather  

E-Print Network [OSTI]

Adverse weather significantly impacts the safety and efficiency of flight operations. Weather information

Vigeant-Langlois, Laurence

264

Dynamic Algorithm for Space Weather Forecasting System  

E-Print Network [OSTI]

for the designation as UNDERGRADUATE RESEARCH SCHOLAR April 2010 Major: Nuclear Engineering DYNAMIC ALGORITHM FOR SPACE WEATHER FORECASTING SYSTEM A Junior Scholars Thesis by LUKE DUNCAN FISCHER Submitted to the Office of Undergraduate... 2010 Major: Nuclear Engineering iii ABSTRACT Dynamic Algorithm for Space Weather Forecasting System. (April 2010) Luke Duncan Fischer Department of Nuclear Engineering Texas A&M University Research Advisor: Dr. Stephen Guetersloh...

Fischer, Luke D.

2011-08-08T23:59:59.000Z

265

Faces of the Recovery Act: National Weatherization Conference  

Broader source: Energy.gov [DOE]

Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

266

Faces of the Recovery Act: National Weatherization Conference  

ScienceCinema (OSTI)

Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

Chu, Sammy; Campanella, Leslie; Sewell, Travis; Gill, Tony; Fransen, Richard; Leuty, Steve; Qualls, Xavier; Bergeron, T.J.; Stewet, Zachary

2013-05-29T23:59:59.000Z

267

Weatherization Plus Opportunities for the 21st Century  

Broader source: Energy.gov [DOE]

Millennium Committee Strategy Report for the DOE Weatherization Assistance Program; 15 pp.; April 1999.

268

Faces of the Recovery Act: National Weatherization Conference  

ScienceCinema (OSTI)

Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

None

2010-09-01T23:59:59.000Z

269

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for: area prediction models Page: << < 1 2 3 4 5 > >> 1 The Quality of a 48-Hours Wind Power Forecast Using the German and Danish Weather Prediction Model Summary: The Quality...

270

A service-oriented architecture for authentication and authorization  

E-Print Network [OSTI]

numerical weather prediction has become mature as computers become more powerful. While early models

Hamedtoolloei, Hamidreza

2009-01-01T23:59:59.000Z

271

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

SciTech Connect (OSTI)

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

272

Control of Regional and Global Weather  

E-Print Network [OSTI]

Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

Alexander Bolonkin

2007-01-09T23:59:59.000Z

273

Healthy Housing Opportunities During Weatherization Work  

SciTech Connect (OSTI)

In the summer and early fall of 2010, the National Center for Healthy Housing interviewed people from a selection of state and local agencies that perform weatherizations on low-income housing in order to gauge their approach to improving the health and safety of the homes. The interviews provided a strong cross section of what work agencies can do, and how they go about funding this work when funds from the Weatherization Assistance Program (WAP) do not cover the full extent of the repairs. The report also makes recommendations for WAP in how to assist agencies to streamline and maximize the health and safety repairs they are able to make in the course of a standard weatherization.

Wilson, J.; Tohn, E.

2011-03-01T23:59:59.000Z

274

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

SciTech Connect (OSTI)

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

275

Weather - Local Information - Radiation Effects Facility / Cyclotron  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and Materials Disposition3 WaterFebruary 18,theWeather Weather

276

Friday December 28, 2012 | Houston Weather  

E-Print Network [OSTI]

Friday December 28, 2012 | Houston Weather Chron.com Web Search by YAHOO! Local Directory Sci, December 26, 2012 11 for '13: Bhaskar Dutta and David Toback believe we will soon identify "dark" matter and that we ignorantly refer to as dark matter. One of the reasons we believe this substance exists

Toback, David

277

Segmenting Time Series for Weather Forecasting  

E-Print Network [OSTI]

) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been to develop a generic model for summarisation of time series data. Initially, we have applied standard

Sripada, Yaji

278

NUMERICAL INVESTIGATION OF SUBSONIC FLOW OVER A TYPICAL MISSILE FOREBODY  

E-Print Network [OSTI]

that the panel codes may be a compu­ tationally efficient tool for aerodynamic missile design purposes at low. These missiles are aerodynamically stable and there­ fore ``weather­cock'' into the free­stream after launch from work in prediction of missile aerodynamics was devoted to simpler con­ figurations, especially

Tuncer, Ismail H.

279

Use of NWS Weather Measurements for Cross-checking Local Weather Measurements  

E-Print Network [OSTI]

This paper discusses the use of an independent network of remote weather stations for building energy analysis to assist agencies participating in the Texas LoanSTAR Monitoring and Analysis Program. A review of the sensors and procedures...

Crowley, G. D.; Haberl, J. S.

1994-01-01T23:59:59.000Z

280

Weather data analysis based on typical weather sequence analysis. Application: energy building simulation  

E-Print Network [OSTI]

In building studies dealing about energy efficiency and comfort, simulation software need relevant weather files with optimal time steps. Few tools generate extreme and mean values of simultaneous hourly data including correlation between the climatic parameters. This paper presents the C++ Runeole software based on typical weather sequences analysis. It runs an analysis process of a stochastic continuous multivariable phenomenon with frequencies properties applied to a climatic database. The database analysis associates basic statistics, PCA (Principal Component Analysis) and automatic classifications. Different ways of applying these methods will be presented. All the results are stored in the Runeole internal database that allows an easy selection of weather sequences. The extreme sequences are used for system and building sizing and the mean sequences are used for the determination of the annual cooling loads as proposed by Audrier-Cros (Audrier-Cros, 1984). This weather analysis was tested with the datab...

David, Mathieu; Garde, Francois; Boyer, Harry

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "numerical weather prediction" 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

Weather conditions affecting VTOL airbus operations in the Northeast Corridor  

E-Print Network [OSTI]

A detailed study of hourly weather observations in the Northeast Corridor during the periods 0600-2400 for a ten year period 1944-1958 was made to study the implications of weather affecting the operations of a VSTOL Airbus ...

Simpson, R. W.

1966-01-01T23:59:59.000Z

282

Kansas City Gears Up for Weatherization Jobs | Department of...  

Broader source: Energy.gov (indexed) [DOE]

Kansas City Gears Up for Weatherization Jobs Kansas City Gears Up for Weatherization Jobs April 9, 2010 - 4:04pm Addthis Stephen Graff Former Writer & editor for Energy Empowers,...

283

Weatherization Projects on the Rise in Michigan County | Department...  

Broader source: Energy.gov (indexed) [DOE]

Weatherization Projects on the Rise in Michigan County Weatherization Projects on the Rise in Michigan County August 12, 2010 - 5:03pm Addthis Kevin Craft Monroe County Opportunity...

284

Preface: Weatherization Assistance Program Close-Up Compendium  

SciTech Connect (OSTI)

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

285

EERE FY 2008-2012 Budget: Weatherization and Intergovernmental...  

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

EERE FY 2008-2012 Budget: Weatherization and Intergovernmental Program EERE FY 2008-2012 Budget: Weatherization and Intergovernmental Program Proposed five-year plan for the U.S....

286

U.S. Department of Energy Weatherization Assistance Program  

Broader source: Energy.gov (indexed) [DOE]

multi-family properties. The number of homes weatherized in a multi-family ***Annual Program Year funding includes units weatherized through June 2010 only. All data reported as...

287

Visually Accurate Multi-Field Weather Visualization Purdue University  

E-Print Network [OSTI]

-dimensional, and involve global scale phenomena. Less commonly, but no less importantly, weather events are examined weather pat- terns, they are ineffective when examining storm scale weather phe- nomena. Two@cs.utah.edu Jason Levit University of Oklahoma jlevit@ou.edu Figure 1: Time Series of a Cloud Scale Visualization

Utah, University of

288

200,000 homes weatherized under the Recovery Act  

SciTech Connect (OSTI)

Today Vice President Biden announced that the Weatherization Assistance Program has weatherized 200,000 homes under the Recovery Act. We're taking your questions and comments right now on weatherization. Join in the conversation! *Facebook -- http://www.facebook.com/energygov *Twitter -- http://www.twitter.com/energy

Zoi, Cathy

2010-01-01T23:59:59.000Z

289

200,000 homes weatherized under the Recovery Act  

ScienceCinema (OSTI)

Today Vice President Biden announced that the Weatherization Assistance Program has weatherized 200,000 homes under the Recovery Act. We're taking your questions and comments right now on weatherization. Join in the conversation! *Facebook -- http://www.facebook.com/energygov *Twitter -- http://www.twitter.com/energy

Zoi, Cathy

2013-05-29T23:59:59.000Z

290

JOB OPENING POSITION: TV WeatherCenter Intern (unpaid internship)  

E-Print Network [OSTI]

JOB OPENING POSITION: TV WeatherCenter Intern (unpaid internship) JOB NUMBER: 12081 DIVISION/DEPARTMENT: WRAL-TV - Weather DESCRIPTION: THIS IS AN UNPAID INTERNSHIP. Interns in the WRAL HD Weather of North Carolina. The internship will feature hands-on experience in all aspects of television and radio

Parker, Matthew D. Brown

291

Chemical weathering of the Panola Granite: Solute and regolith elemental fluxes and the weathering rate of biotite  

E-Print Network [OSTI]

Chemical weathering of the Panola Granite: Solute and regolith elemental fluxes and the weathering in a saprolitic granite re- golith at Panola, Georgia, USA. Saturated fluid flow across a low-permeability kaolin

292

Weatherization Program is a Capital Idea for Washington, D.C.: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Washington, D.C. 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

293

Thunderstorm lightning and radar characteristics: insights on electrification and severe weather forecasting  

E-Print Network [OSTI]

thunderstorm?s dynamics and electrification processes operate. The advent of the WSR- 88D nationwide (U. S.) radar system, the National Lightning Detection Network (NLDN), and 3-dimensional lightning mapping systems (here the Lightning Detection... that are related to storm intensity and can assist in predicting severe weather. 2. Data and methodology The radar data used in this study were from the Dallas-Fort Worth WSR-88D (KFWS), obtained from the National Climatic Data Center...

Steiger, Scott Michael

2007-04-25T23:59:59.000Z

294

DEPARTMENT OF STATISTICS University of Wisconsin  

E-Print Network [OSTI]

REPORT NO. 963 July, 1996 Adaptive Tuning of Numerical Weather Prediction Models: Simultaneous Estimation Weather Prediction Models: Simultaneous Estimation of Weighting, Smoothing and Physical Parameters weather prediction models via generalized cross validation (GCV ) and related methods. In this paper

Liblit, Ben

295

DEPARTMENT OF STATISTICS University of Wisconsin  

E-Print Network [OSTI]

REPORT NO. 963r January 17, 1997 Adaptive Tuning of Numerical Weather Prediction Models: Simultaneous Weather Prediction Models: Simultaneous Estimation of Weighting, Smoothing and Physical Parameters weather prediction models via generalized cross validation (GCV ) and related methods. In this paper

Liblit, Ben

296

Real-Time Weather Data Access Guide: Updated February 2006  

SciTech Connect (OSTI)

The format of the weather data received from the National Weather Service is extremely inconvenient for building engineers to read, especially for trending historical data; therefore, a weather parsing program was created by NREL building engineers to simplify the data. The weather-parsing program collects current weather conditions for over 4,000 sites around the world and allows access to the data via a web page designed by NREL building researchers. The database provides data for some locations from late 1998 through today. Users can request data to be sent to them via e-mail by using the interactive web page.

Long, N.

2006-03-01T23:59:59.000Z

297

Large Scale Weather Control Using Nuclear Reactors  

E-Print Network [OSTI]

It is pointed out that controlled release of thermal energy from fission type nuclear reactors can be used to alter weather patterns over significantly large geographical regions. (1) Nuclear heat creates a low pressure region, which can be used to draw moist air from oceans, onto deserts. (2) Creation of low pressure zones over oceans using Nuclear heat can lead to Controlled Cyclone Creation (CCC).(3) Nuclear heat can also be used to melt glaciers and control water flow in rivers.

Moninder Singh Modgil

2002-10-02T23:59:59.000Z

298

Large Scale Weather Control Using Nuclear Reactors  

E-Print Network [OSTI]

It is pointed out that controlled release of thermal energy from fission type nuclear reactors can be used to alter weather patterns over significantly large geographical regions. (1) Nuclear heat creates a low pressure region, which can be used to draw moist air from oceans, onto deserts. (2) Creation of low pressure zones over oceans using Nuclear heat can lead to Controlled Cyclone Creation (CCC).(3) Nuclear heat can also be used to melt glaciers and control water flow in rivers.

Singh-Modgil, M

2002-01-01T23:59:59.000Z

299

Weatherization and Intergovernmental Program Success Stories | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTAL FY14

300

Weatherization and Intergovernmental Program Success Stories | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTAL FY14of

Note: This page contains sample records for the topic "numerical weather prediction" 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

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

SciTech Connect (OSTI)

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

302

Weatherization Assistance Program - Background Data and Statistics  

SciTech Connect (OSTI)

This technical memorandum is intended to provide readers with information that may be useful in understanding the purposes, performance, and outcomes of the Department of Energy's (DOE's) Weatherization Assistance Program (Weatherization). Weatherization has been in operation for over thirty years and is the nation's largest single residential energy efficiency program. Its primary purpose, established by law, is 'to increase the energy efficiency of dwellings owned or occupied by low-income persons, reduce their total residential energy expenditures, and improve their health and safety, especially low-income persons who are particularly vulnerable such as the elderly, the handicapped, and children.' The American Reinvestment and Recovery Act PL111-5 (ARRA), passed and signed into law in February 2009, committed $5 Billion over two years to an expanded Weatherization Assistance Program. This has created substantial interest in the program, the population it serves, the energy and cost savings it produces, and its cost-effectiveness. This memorandum is intended to address the need for this kind of information. Statistically valid answers to many of the questions surrounding Weatherization and its performance require comprehensive evaluation of the program. DOE is undertaking precisely this kind of independent evaluation in order to ascertain program effectiveness and to improve its performance. Results of this evaluation effort will begin to emerge in late 2010 and 2011, but they require substantial time and effort. In the meantime, the data and statistics in this memorandum can provide reasonable and transparent estimates of key program characteristics. The memorandum is laid out in three sections. The first deals with some key characteristics describing low-income energy consumption and expenditures. The second section provides estimates of energy savings and energy bill reductions that the program can reasonably be presumed to be producing. The third section deals with estimates of program cost-effectiveness and societal impacts such as carbon reduction and reduced national energy consumption. Each of the sections is brief, containing statistics, explanatory graphics and tables as appropriate, and short explanations of the statistics in order to place them in context for the reader. The companion appendices at the back of the memorandum explain the methods and sources used in developing the statistics.

Eisenberg, Joel Fred [ORNL

2010-03-01T23:59:59.000Z

303

Weatherization Assistance Program Technical Assistance Center  

SciTech Connect (OSTI)

The following is a synopsis of the major achievements attributed to the operation of the Weatherization Assistance Program Technical Assistance Center (WAPTAC) by the National Association for State Community Services Programs (NASCSP). During the past five years, the WAPTAC has developed into the premier source for information related to operating the Weatherization Assistance Program (WAP) at the state and local levels. The services provide through WAPTAC include both virtual technical support as well as hands-on training and instruction in classroom and in the field. The WAPTAC achieved several important milestones during its operation including the establishment of a national Weatherization Day now celebrated in most states, the implementation of a comprehensive Public Information Campaign (PIC) to raise the awareness of the Program among policy makers and the public, the training of more than 150 new state managers and staff as they assume their duties in state offices around the country, and the creation and support of a major virtual information source on the Internet being accessed by thousands of staff each month. The Weatherization Assistance Program Technical Assistance Center serves the Department of Energy's (DOE) Office of Weatherization and Intergovernmental Program as a valuable training and technical assistance resource for the network of 54 direct state grantees (50 states, District of Columbia and three Native American tribes) and the network of 900 local subgrantees (comprised of community action agencies, units of local government, and other non-profit organizations). The services provided through WAPTAC focus on standardizing and improving the daily management of the WAP. Staff continually identify policies changes and best practices to help the network improve its effectiveness and enhance the benefits of the Program for the customers who receive service and the federal and private investors. The operations of WAPTAC are separated into six distinct areas: (1) Orientation for New WAP State Directors and Staff; (2) Pollution Occurrence Insurance Project; (3) Public Information Campaign; (4) State Management Training Project; (5) System for Integrating and Reviewing Technologies and Techniques; and (6) WAPTAC Services.

Robert Adams

2009-01-07T23:59:59.000Z

304

Predicting Daily Net Radiation Using Minimum Climatological Data1  

E-Print Network [OSTI]

Predicting Daily Net Radiation Using Minimum Climatological Data1 S. Irmak, M.ASCE2 ; A. Irmak3 ; J for predicting daily Rn have been widely used. However, when the paucity of detailed climatological data with National Weather Service climatological datasets that only record Tmax and Tmin on a regular basis. DOI: 10

305

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.

306

ON THE IMPACT OF SUPER RESOLUTION WSR-88D DOPPLER RADAR DATA ASSIMILATION ON HIGH RESOLUTION NUMERICAL MODEL FORECASTS  

SciTech Connect (OSTI)

Assimilation of radar velocity and precipitation fields into high-resolution model simulations can improve precipitation forecasts with decreased 'spin-up' time and improve short-term simulation of boundary layer winds (Benjamin, 2004 & 2007; Xiao, 2008) which is critical to improving plume transport forecasts. Accurate description of wind and turbulence fields is essential to useful atmospheric transport and dispersion results, and any improvement in the accuracy of these fields will make consequence assessment more valuable during both routine operation as well as potential emergency situations. During 2008, the United States National Weather Service (NWS) radars implemented a significant upgrade which increased the real-time level II data resolution to 8 times their previous 'legacy' resolution, from 1 km range gate and 1.0 degree azimuthal resolution to 'super resolution' 250 m range gate and 0.5 degree azimuthal resolution (Fig 1). These radar observations provide reflectivity, velocity and returned power spectra measurements at a range of up to 300 km (460 km for reflectivity) at a frequency of 4-5 minutes and yield up to 13.5 million point observations per level in super-resolution mode. The migration of National Weather Service (NWS) WSR-88D radars to super resolution is expected to improve warning lead times by detecting small scale features sooner with increased reliability; however, current operational mesoscale model domains utilize grid spacing several times larger than the legacy data resolution, and therefore the added resolution of radar data is not fully exploited. The assimilation of super resolution reflectivity and velocity data into high resolution numerical weather model forecasts where grid spacing is comparable to the radar data resolution is investigated here to determine the impact of the improved data resolution on model predictions.

Chiswell, S

2009-01-11T23:59:59.000Z

307

NOWCAST WITH A FORESCAST SNOW COVER SIMULATIONS ON SLOPES Sascha Bellaire  

E-Print Network [OSTI]

weather stations. Recently, SNOWPACK was also forced with data from numerical weather prediction models, avalanche warning, numerical weather prediction models, snow cover stratigraphy, model output statistics 1 forecasting regions is often limited, especially in North America. Numerical Weather Prediction models (NWP

Jamieson, Bruce

308

ERCOT's Weather Sensitive Demand Response Pilot  

E-Print Network [OSTI]

ERCOTs Weather Sensitive Demand Response Pilot CATEE 12-17-13 ESL-KT-13-12-21 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Disclaimer The information contained in this report has been obtained from... services along with other information about our business is available online at constellation.com. ESL-KT-13-12-21 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Demand Response in ERCOT CATEE 121313 - Tim Carter...

Carter, T.

2013-01-01T23:59:59.000Z

309

Weatherization and Intergovernmental Activities | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012NuclearBradleyBudget WaterWeatherization and

310

Explore Careers in Weatherization | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office of Audit|Department of Energy56Executive SummitEnergy EfficientWeatherization

311

WEATHERIZATION PROGRAM NOTICE 10-13A  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of| Department of EnergyDepartment of5 - In theOctober 3,WEATHERIZATION

312

Weatherization and Intergovernmental Program Success Stories | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTAL FY14 BUDGET820946of

313

Weatherization and Intergovernmental Program Success Stories | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTAL FY14of Energy

314

Weatherization and Intergovernmental Program Success Stories | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTAL FY14of Energyof

315

Weatherization and Intergovernmental Program Success Stories | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTAL FY14ofof Energy

316

Weatherization Innovation Pilot Program (WIPP): Technical Assistance Summary  

SciTech Connect (OSTI)

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

317

Monitoring the Weather andMonitoring the Weather and Climate of ColoradoClimate of Colorado  

E-Print Network [OSTI]

Seminar Series, September 28, 2005, Colorado State University, Fort Collins, CO Prepared by Odie Bliss #12 Associate, nolan@atmos.colostate.edu Odie Bliss Coordinator, odie@atmos.colostate.edu #12;Mission affecting the state today. #12;What Does It Mean To "Monitor" ? #12;Fort Collins campus weather station

318

Disruptive Innovation in Numerical Hydrodynamics  

SciTech Connect (OSTI)

We propose the research and development of a high-fidelity hydrodynamic algorithm for tetrahedral meshes that will lead to a disruptive innovation in the numerical modeling of Laboratory problems. Our proposed innovation has the potential to reduce turnaround time by orders of magnitude relative to Advanced Simulation and Computing (ASC) codes; reduce simulation setup costs by millions of dollars per year; and effectively leverage Graphics Processing Unit (GPU) and future Exascale computing hardware. If successful, this work will lead to a dramatic leap forward in the Laboratory's quest for a predictive simulation capability.

Waltz, Jacob I. [Los Alamos National Laboratory

2012-09-06T23:59:59.000Z

319

The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods  

E-Print Network [OSTI]

The seizure prediction characteristic: a general framework to assess and compare seizure prediction, numerous methods have been suggested that claim to predict from the EEG the onset of epileptic seizures of a seizure prediction method and an intervention system, would improve patient quality of life. The question

Timmer, Jens

320

Weatherization and Workforce Guidelines for Home Energy Upgrades...  

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

for Home Energy Upgrades Fact Sheet Weatherization and Workforce Guidelines for Home Energy Upgrades Fact Sheet This fact sheet provides essential information about the 2011...

Note: This page contains sample records for the topic "numerical weather prediction" 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

Kelly M. Nez Ocasio Puerto Rico WeatherCamp 2009  

E-Print Network [OSTI]

Kelly M. Núñez Ocasio Puerto Rico WeatherCamp 2009 My name is Kelly M. Núñez Ocasio, I am 19 years

Gilbes, Fernando

322

Memorandum of Understanding On Weather-Dependent and Oceanic...  

Broader source: Energy.gov (indexed) [DOE]

Memorandum of Understanding On Weather-Dependent and Oceanic Renewable Energy Resources between the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy and...

323

Effective Energy Behavior Change for Low-Income Weatherization Clients  

Broader source: Energy.gov [DOE]

This document contains the transcript for the Effective Energy Behavior Change for Low-Income Weatherization Clients webinar presented on May 31, 2012.

324

Maine Company Growing with Weatherization Work | Department of...  

Broader source: Energy.gov (indexed) [DOE]

regional community action programs. "They realized we had talent in . . . lead abatement and home repair and approached us about expanding into weatherization," he said....

325

#tipsEnergy: Weatherizing Your Home for Fall  

Broader source: Energy.gov [DOE]

With the start of colder weather, we are sharing fall energy-saving tips that will help you save money and stay comfortable.

326

Global warming, bad weather, insurance losses and the global economy  

SciTech Connect (OSTI)

Global warming causes extremely bad weather in the near term. The impact on the insurance industry is described. Why global warming in the near term causes very bad weather is explained. The continuing trend of very bad weather and the future impact on the insurance industry is explored. How very bad weather can affect the global financial market is explained. Taking a historical view of the development of the modern economy, the authors describe in the near term the impact of global warming on the global economy. The long term impact of global warming on the global economy and the human race is explored. Opportunities presented by global warming are described.

Low, N.C. [UOB Life Assurance Ltd., Singapore (Singapore); Shen, S. [Global Warming International Center, Woodridge, IL (United States)

1996-09-01T23:59:59.000Z

327

U.S. Department of Energy Weatherization Assistance Program  

SciTech Connect (OSTI)

A summary of benefits of DOE's Weatherization Assistance Program for low-income families, including both energy and economic impacts on local communities.

Not Available

2002-01-01T23:59:59.000Z

328

Mesoscale Simulations of a Wind Ramping Event for Wind Energy Prediction  

SciTech Connect (OSTI)

Ramping events, or rapid changes of wind speed and wind direction over a short period of time, present challenges to power grid operators in regions with significant penetrations of wind energy in the power grid portfolio. Improved predictions of wind power availability require adequate predictions of the timing of ramping events. For the ramping event investigated here, the Weather Research and Forecasting (WRF) model was run at three horizontal resolutions in 'mesoscale' mode: 8100m, 2700m, and 900m. Two Planetary Boundary Layer (PBL) schemes, the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) schemes, were run at each resolution as well. Simulations were not 'tuned' with nuanced choices of vertical resolution or tuning parameters so that these simulations may be considered 'out-of-the-box' tests of a numerical weather prediction code. Simulations are compared with sodar observations during a wind ramping event at a 'West Coast North America' wind farm. Despite differences in the boundary-layer schemes, no significant differences were observed in the abilities of the schemes to capture the timing of the ramping event. As collaborators have identified, the boundary conditions of these simulations probably dominate the physics of the simulations. They suggest that future investigations into characterization of ramping events employ ensembles of simulations, and that the ensembles include variations of boundary conditions. Furthermore, the failure of these simulations to capture not only the timing of the ramping event but the shape of the wind profile during the ramping event (regardless of its timing) indicates that the set-up and execution of such simulations for wind power forecasting requires skill and tuning of the simulations for a specific site.

Rhodes, M; Lundquist, J K

2011-09-21T23:59:59.000Z

329

Spectral analysis of ambient weather patterns  

SciTech Connect (OSTI)

A Fourier spectral analysis of ambient weather data, consisting of global and direct solar radiation, dry and wet bulb temperatures, and wind speed, is given. By analyzing the heating and cooling seasons independently, seasonal variations are isolated and a cleaner spectrum emerges. This represents an improvement over previous work in this area, in which data for the entire year were analyzed together. As a demonstration of the efficacy of this method, synthetic data constructed with a small number of parameters are used in typical simulations, and the results are compared with those obtained with the original data. A spectral characterization of fluctuations around the moving average is given, and the changes in the fluctuation from season to season are examined.

Anderson, J.V.; Subbarao, K.

1981-01-01T23:59:59.000Z

330

Weathering of Roofing Materials-An Overview  

SciTech Connect (OSTI)

An overview of several aspects of the weathering of roofing materials is presented. Degradation of materials initiated by ultraviolet radiation is discussed for plastics used in roofing, as well as wood and asphalt. Elevated temperatures accelerate many deleterious chemical reactions and hasten diffusion of material components. Effects of moisture include decay of wood, acceleration of corrosion of metals, staining of clay, and freeze-thaw damage. Soiling of roofing materials causes objectionable stains and reduces the solar reflectance of reflective materials. (Soiling of non-reflective materials can also increase solar reflectance.) Soiling can be attributed to biological growth (e.g., cyanobacteria, fungi, algae), deposits of organic and mineral particles, and to the accumulation of flyash, hydrocarbons and soot from combustion.

Berdahl, Paul; Akbari, Hashem; Levinson, Ronnen; Miller, William A.

2006-03-30T23:59:59.000Z

331

A weatherization manual for LIHEAP policy makers and program administrators  

SciTech Connect (OSTI)

This manual is designed to provide Low-Income Home Energy Assistance Program (LIHEAP) directors with information about weatherization and innovative ways they can utilize LIHEAP funds for weatherization activities. It contains a description of innovative weatherization programs which demonstrate creative uses of LIHEAP funds in weatherization activities. In many of the innovative examples, state and local administrators are coordinating their LIHEAP funds with the US Department of Energy (DOE) Low-Income Weatherization Assistance Program`s funding and with a variety of other federal, state and utility company resources. The innovative programs demonstrate how LIHEAP funds can be used in client education, targeting high energy users, staff training, assessment and audits for weatherization services. The reader will find in the appendices lists of contact persons and further descriptions of the programs highlighted. Although designed with LIHEAP directors in mind, the practices and programs highlighted in this manual are of practical use to any state, local or utility weatherization program administrator. The glossary at the end of the descriptive chapters will assist readers with the terminology used throughout the manual. This manual and the many resource entities cited in its appendices provide ready access to a wealth of state-of-the-art information which could lead to a more cost-effective expenditure of LIBEAP weatherization dollars.

Witherspoon, M.J.; Marabate, R.; Weinhaus, M. [National Association for State Community Service Programs, Washington, DC (United States)] [National Association for State Community Service Programs, Washington, DC (United States); Eisenberg, J.F. [Economic Opportunity Research Inst., Arlington, VA (United States)] [Economic Opportunity Research Inst., Arlington, VA (United States)

1993-09-01T23:59:59.000Z

332

Space weather and the electricity market: An initial assessment  

E-Print Network [OSTI]

price (as established in the day ahead market) for wholesale electricity. Several econometric analyses Institute on the hypothesis that the wholesale price of electricity is affected by space weather conditionsSpace weather and the electricity market: An initial assessment Kevin F. Forbes Department

Schrijver, Karel

333

EIS-0095: Bonneville Power Administration's Expanded Residential Weatherization Program  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy's Bonneville Power Administration prepared this statement to examine the environmental impacts of an expansion of the existing Residential Weatherization Program to include air-infiltration reducing (tightening) measures, such as storm windows and doors, insulation, weather-stripping and other improvements.

334

The European Weather Radar Network (OPERA): An opportunity for hydrology!  

E-Print Network [OSTI]

at the European level dates back to COST 72 (Measurement of precipitation by radar) which started in 1979The European Weather Radar Network (OPERA): An opportunity for hydrology! Iwan Holleman1 , Laurent (EARS), Ljubljana (Slovenia). 1 Introduction The tradition of weather radar collaboration

Stoffelen, Ad

335

How Climate Change is Playing Out in Minnesota: Extreme Weather  

E-Print Network [OSTI]

How Climate Change is Playing Out in Minnesota: Extreme Weather Dr. Mark Seeley Dept of Soil, Water Climate Headlines Data Sources Changing Minnesota Climate Features Climate Consequences Implications for Severe Weather #12;Three Reasons to Accept That Climate Change is Real #12;#12;Stationary (1) Cyclical (2

Minnesota, University of

336

Lithium Isotope History of Cenozoic Seawater: Changes in Silicate Weathering  

E-Print Network [OSTI]

Lithium Isotope History of Cenozoic Seawater: Changes in Silicate Weathering and Reverse Weathering 70 Ma Overview of the Marine Lithium Cycle Analytical Challenges 68 Million Year Seawater Lithium Isotope Record (Forams) Interpretation Standard: NIST L-SVEC Li (SRM 8545) #12;100 Ma Climate

Paytan, Adina

337

Weather and Climate Laboratory METR 1014-013  

E-Print Network [OSTI]

Laboratory Instructor: Conor Mc Nicholas E-mail: cmcnicholas@ou.edu Office: Sarkeys Energy Center, Room 410Syllabus Weather and Climate Laboratory METR 1014-013 Fall 2013 Tuesday; 6:30-8:20; SEC P209 in a timely manner. Course Description: This lab will cover a wide range of topics about weather and climate

Droegemeier, Kelvin K.

338

Page 1 of 3 Policy: Cold Weather Policy  

E-Print Network [OSTI]

value. The Safety and Risk Management Policy endorses programs, procedures and resources which assist departments. 2. Extra notification to occupants prior to significant cold weather events. 3. Assist 1. Establish, with the assistance of SRM, cold weather procedures. 2. Follow established cold

Dyer, Bill

339

The Extremes Toolkit (extRemes) Weather and Climate Applications  

E-Print Network [OSTI]

The Extremes Toolkit (extRemes) Weather and Climate Applications of Extreme Value Statistics Eric;The Extremes Toolkit (extRemes) Web Page http://www.assessment.ucar.edu/toolkit Acknowledgements 1. The Extremes Toolkit is funded by the National Science Foundation (NSF) through the NCAR Weather and Cli- mate

Gilleland, Eric

340

Peoria Housing Authority(PHA) Weatherization Training Project  

SciTech Connect (OSTI)

The DOE Weatherization Training Project's goal is to obtain a solid foundation of administrative and technical knowledge so the Peoria Housing Authority (PHA) can establish and implement a successful Weatherization Program by 2011. The DOE weatherization Training Project's two objectives are to (1) build PHA's capabilities by (2) developing its staff members capacities via the acquisition of weatherization skills and competencies. The impacts from this project include: (a) the improvement and expansion of PHA staff skills, (b) the overall enhancement of the quality of the PHA workforce, which will (c) foster employment, (d) the ability to properly weatherize PHA housing stock, tribal buildings, and tribal members houses, which will (e) result in reduced energy use, and (f) improved tribal and household economies.

Phillip Chrismon; Jason Dollarhide

2011-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "numerical weather prediction" 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

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

342

Human-centered systems analysis of aircraft separation from adverse weather  

E-Print Network [OSTI]

Adverse weather significantly impacts the safety and efficiency of flight operations. Weather information plays a key role in mitigating the impact of adverse weather on flight operations by supporting air transportation ...

Vigeant-Langlois, Laurence, 1974-

2004-01-01T23:59:59.000Z

343

PREDICTIVE MODELS  

SciTech Connect (OSTI)

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

344

Texas Field Experiment Results: Performance of the Weatherization Assistance Program in Hot-Climate, Low-Income Homes  

SciTech Connect (OSTI)

A field test involving 35 houses was performed in Texas between 2000 and 2003 to study the response of low-income homes in hot climates to weatherization performed as part of the U.S Department of Energy Weatherization Assistance Program and to investigate certain methods to improve weatherization performance. The study found that improved Program designs and the use of advanced energy audits resulted in better weatherization measures being installed (use of blower doors to guide the infiltration work, more frequent installation of attic insulation, and installation of wall insulation) in the study homes, improved space-heating savings performance compared to the Program as implemented in the hot climates in 1989, and more comfortable indoor temperatures. Two key policy dilemmas for Texas and other hot-climate states were highlighted by the study; namely, how to balance expenditures between installing cost-effective weatherization measures and performing health, safety, and repair items, and that health, safety, and repair items can have an adverse impact on energy savings, which further complicates the weatherization decision process. Several occupant and equipment-related behaviors were observed in the field test homes that help explain why audits may over predict energy consumptions and savings and why air-conditioning electricity savings are difficult to measure. Based on this study, it is recommended that states in hot climates be encouraged to select from an expanded list of measures using advanced audits or other techniques, and further studies examining the benefits obtained from air conditioner measures should be performed. In addition, guidelines should be developed for the hot-climate states on how to (a) balance the objectives of saving energy, improving health and safety, and addressing repair issues, and (b) select repair items.

McCold, Lance Neil [ORNL; Goeltz, Rick [ORNL; Ternes, Mark P [ORNL; Berry, Linda G [ORNL

2008-04-01T23:59:59.000Z

345

E-Print Network 3.0 - air pollution weather Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

weather Search Powered by Explorit Topic List Advanced Search Sample search results for: air pollution weather Page: << < 1 2 3 4 5 > >> 1 Geology, Society and the Environmental...

346

Weatherized Homes Saving Money for Families Across the U.S.  

Broader source: Energy.gov [DOE]

750 thousand homes have been weatherized over the past three years through the Department's Weatherization Assistance Program, saving families $400 a year on their heating and cooling bills.

347

Numerical simulations of mine penetration in soft sediments  

E-Print Network [OSTI]

This study is concerned with developing a predictive model for depth of penetration of mines in soft sediments. The primary objective of this numerical study is to model soil resistance as a function of penetration depth using the finite element...

Yao, Zhigang

2003-01-01T23:59:59.000Z

348

Nat. Hazards Earth Syst. Sci., 8, 349357, 2008 www.nat-hazards-earth-syst-sci.net/8/349/2008/  

E-Print Network [OSTI]

from numerical weather prediction models. Global weather forecasts from the United Kingdom Met Office using real-time numerical weather predictions J. Schmidt1, G. Turek1,*, M. P. Clark1, M. Uddstrom1 (MO) Nu- merical Weather Prediction model (NWP) are coupled with a regional data assimilating NWP

Paris-Sud XI, Université de

349

Progress report of the National Weatherization Assistance Program  

SciTech Connect (OSTI)

The National Weatherization Evaluation of the 1989 Program Year and the Metaevaluation of 1996 are described in two ways in this summary document. The text pages summarize the results of the two evaluations conducted by the Oak Ridge National Laboratory. The photographs and explanations illustrate weatherization operations and tactics. An overview and history of the program is provided, followed by the scope of weatherization, metaevaluation methods and results for 1996, national evaluation methods and results for 1989, response to evaluation findings, remaining opportunities, and next steps. Conclusions and significant findings are then given.

Berry, L.G.; Brown, M.A. [Oak Ridge National Lab., TN (United States); Kinney, L.F. [Synertech Systems Corp. (United States)

1997-09-01T23:59:59.000Z

350

First Announcement of the 12th Sino-Russia Workshop of Space Weather SR-WSP12, August 25-29, 2014  

E-Print Network [OSTI]

First Announcement of the 12th Sino-Russia Workshop of Space Weather SR-WSP12, August 25-29, 2014 predictions between China and Russia, the Sino-Russian Joint Research Center was founded under the bilateral: The registration fee is 1200 RMB/person, which is payable on-site at the workshop only in cash. Website: http://sino-russia

Tian, Weidong

351

LAB #8 Numerical Methods  

E-Print Network [OSTI]

Required tools: Matlab routine dfield ; numerical routines eul, rk2, rk4; m-files. Discussion ... You should get a piecewise linear graph made up .... in the matrix y

2005-10-20T23:59:59.000Z

352

Predictive Maintenance  

Broader source: Energy.gov [DOE]

Predictive maintenance aims to detect equipment degradation and address problems as they arise. The result indicates potential issues, which are controlled or eliminated prior to any significant system deterioration.

353

Community-Based Social Marketing for Weatherization Programs  

Broader source: Energy.gov [DOE]

A webinar by National Renewable Energy Laboratory (NREL) Senior Project Manager Amy Hollander on how to create a weatherization program that fosters sustainable behaviors in a community for saving energy.

354

Haywood EMC- Residential Heat Pump and Weatherization Loan Program  

Broader source: Energy.gov [DOE]

Haywood EMC offers a low interest loan to their residential customers to finance the purchase of an energy efficient heat pump and certain weatherization measures. The current interest rate is 5%...

355

Ringing in the rain : an agent based weather warning system  

E-Print Network [OSTI]

People's daily lives are impacted by lots of dynamic environmental information, such as weather and traffic. Though most of this information is available on the Internet, there is no easy way for someone to access it while ...

Chang, Chao-Chi, S.M. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

356

WxTV Broadcasts Weatherization Training | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Training Center, Mike Vogel knows that the field of weatherization is changing. That's why after 20 years of training workers, the center now offers a program that is not...

357

Lane Electric Cooperative- Residential and Commercial Weatherization Grant Program  

Broader source: Energy.gov [DOE]

Lane Electric Cooperative offers energy efficient Weatherization Grant Programs to Lane Electric residential and commercial members: a residential cash grant for 25% of measure costs up to $1,000,...

358

Development of an omni-directional weather-monitoring anemometer  

E-Print Network [OSTI]

This work presents the design, fabrication, calibration and testing of a pressure-based three-component anemometer capable of measuring accurate wind speeds in extreme weather conditions. The groundwork, at the outset, covers the development of a 12...

Ramakrishnan, Vijay

2009-05-15T23:59:59.000Z

359

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

360

Unemployed Engineer Finds New Career in Weatherization | Department...  

Broader source: Energy.gov (indexed) [DOE]

in Weatherization October 27, 2010 - 10:46am Addthis Kevin Craft Bob Kos worked as a mechanical engineer for 20 years. But a slow economic climate and scarcity of quality jobs had...

Note: This page contains sample records for the topic "numerical weather prediction" 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

Obama Administration Delivers More than $63 Million for Weatherization...  

Office of Environmental Management (EM)

Under the Recovery Act, the states may spend up to 20 percent of the funds to hire and train workers. DOE's Weatherization Assistance Program will be available to families making...

362

Methodology for updating numerical predictions of excavation performance  

E-Print Network [OSTI]

Due to the usual limitations in site investigations and measurements of soil properties, simplified constitutive models are routinely used in geotechnical analyses for the design of excavation support systems. However, ...

Corral Jofr, Gonzalo Andrs

2013-01-01T23:59:59.000Z

363

Numerical prediction of mobile offshore drilling unit drift during hurricanes  

E-Print Network [OSTI]

Hurricanes Ivan, Katrina, and Rita tracked through a high-density corridor of the oil and gas infrastructures in the Gulf of Mexico. Extreme winds and large waves exceeding the 100-year design criteria of the MODUs during these hurricanes, caused...

Tahchiev, Galin Valentinov

2009-05-15T23:59:59.000Z

364

A Numeric Predictive Failure Model for Percussive Excavation  

E-Print Network [OSTI]

Densities, 500, 1250, and 1750 BPM, 70 mm Depth, 5 mm/s, ODensities, 0,500, and 1750 BPM, 70 mm Depth, 5 mm/s, 90 Ofrom 4.16 Hz to 29.16 Hz (250 BPM 1750 BPM). In order to

Green, Alex Nicholas

2011-01-01T23:59:59.000Z

365

Direct Numerical Simulations and Robust Predictions of Cloud Cavitation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSCDiesel prices topDirectCollapse | Argonne

366

Numerical Analysis Gordon K. Smyth  

E-Print Network [OSTI]

Numerical Analysis Gordon K. Smyth May 1997 Numerical analysis is concerned with the accurate discipline of numer­ ical analysis is almost entirely a product of the period since 1950 during which biostatisticians can benefit from familiarity with numerical analysis. An understanding of the numerical methods

Smyth, Gordon K.

367

Evaluation of the Washington State Weatherization Assistance Program  

SciTech Connect (OSTI)

Since 1976, the national Weatherization Assistance Program has been working to improve the energy efficiency of dwelling units occupied by low-income residents. Sponsored by the U.S. Department of Energy and implemented by state and local agencies, the program is active in all 50 states and the District of Columbia. This report focuses on the recent outcomes of Washington State's weatherization efforts. The performance of the Washington Weatherization Program is of interest because few evaluations have been performed in this part of the country and because Washington contains a high proportion of electrically-heated houses, which have received relatively little examination in the past. This study, which calculates the magnitude of energy savings for both electrically-heated and gas-heated houses and compares program benefits and costs, was initiated by Oak Ridge National Laboratory (ORNL) in the summer of 1998. In conclusion, we find that the Washington State Weatherization Assistance Program has achieved substantial energy savings in both electrically-heated and gas-heated houses. A comparison of the findings from this study with those from many other evaluations of state weatherization efforts conducted over the past 10 years indicates that Washington is in the top one-third nationwide in terms of program-induced energy savings. In addition, the relationships between energy savings and both pre-weatherization consumption and weatherization expenditures reported in this document are consistent with the findings from earlier studies. These findings suggest that households with high energy consumption make effective targets for state weatherization efforts and that increasing the amount spent per household yields tangible returns in terms of energy savings.

Schweitzer, M.

2001-02-23T23:59:59.000Z

368

PREDICTIVE MODELS  

SciTech Connect (OSTI)

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

369

Keys to success: Ten case studies of effective weatherization programs  

SciTech Connect (OSTI)

In 1990, DOE initiated a nationwide evaluation of its Weatherization Program, with assistance from Oak Ridge National Laboratory and an advisory group of 40 weatherization professionals, program managers, and researchers. The evaluation is comprised of three impact studies covering the Program`s major market segments: Single-family homes, mobile homes, and dwellings in small (2 to 4-unit) multifamily buildings (the Single-Family Study), Single-family homes heated primarily with fuel oil (the Fuel-Oil Study), and Dwellings in buildings with five or more units (the Multifamily Study). The Single-Family Study, the subject of this report, is a critical part of this coordinated evaluation effort. Its focus on single-family dwellings, mobile homes, and dwellings in small multifamily buildings covers 83% of the income-eligible population and 96% of the dwellings weatherized during Program Year 1989. The first phase of the Single-Family Study involved the analysis of a massive data base of information collected from 368 local weatherization agencies and 543 electric and gas utilities. This analysis resulted in energy-saving and cost-effectiveness estimates for the Weatherization Program and the identification of a set of ten high-performing agencies located throughout the country. The second phase, which is the subject of this report, involves a ``process`` evaluation of these ten high performers, aimed at identifying those weatherization practices that explain their documented success.

Brown, M.A.; Berry, L.G.; Kolb, J.O.; White, D.L. [Oak Ridge National Lab., TN (United States); Kinney, L.F.; Wilson, T. [Synertech Systems Corp., Syracuse, NY (United States)

1993-11-01T23:59:59.000Z

370

Optimization Online - All Areas Submissions - September 2011  

E-Print Network [OSTI]

Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to Power ... Stochastic approaches for solving Rapid Transit Network Design models...

371

Optimization Online Digest -- September 2011  

E-Print Network [OSTI]

Stochastic approaches for solving Rapid Transit Network Design models with ... Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to...

372

MLWFA: A Multilingual Weather Forecast Text Generation Tianfang YAO Dongmo ZHANG Qian WANG  

E-Print Network [OSTI]

MLWFA: A Multilingual Weather Forecast Text Generation System1 Tianfang YAO Dongmo ZHANG Qian WANG generation; Weather forecast generation system Abstract In this demonstration, we present a system for multilingual text generation in the weather forecast domain. Multilingual Weather Forecast Assistant (MLWFA

Wu, Dekai

373

Status of Societal and Economic Research and Applications (SERA) for weather and climate information in Mexico  

E-Print Network [OSTI]

- induced vulnerability. Therefore, SERA activities High impact weather in Mexico Tabasco.floods, 2008

Feigon, Brooke

374

10.1177/0270467604273366BULLETIN OF SCIENCE, TECHNOLOGY & SOCIETY / February 2005Byrne, Glover / ELLUL AND THE WEATHER Ellul and the Weather  

E-Print Network [OSTI]

10.1177/0270467604273366BULLETIN OF SCIENCE, TECHNOLOGY & SOCIETY / February 2005Byrne, Glover / ELLUL AND THE WEATHER Ellul and the Weather John Byrne Leigh Glover Center for Energy and Environmental

Delaware, University of

375

1192 VOLUME 5J O U R N A L O F H Y D R O M E T E O R O L O G Y 2004 American Meteorological Society  

E-Print Network [OSTI]

numerical weather prediction models, a set of experiments to study what space and time scales, if the same set of predictor variables from numerical weather prediction models is used, what space (e- and 5-day averages. 1. Introduction Numerical weather prediction (NWP) models are among the most

Balaji, Rajagopalan

376

Hydrometeorological aspects of the Real-Time Ultrafinescale Forecast Support during the Special Observing Period of MAP Hydrology and Earth System Sciences, 7(6), 877889 (2003) EGU  

E-Print Network [OSTI]

-Italian border region were predicted correctly by data from the numerical weather models linked application of numerical weather prediction data to forecast flows over a very large, multinational domain points, covering the whole of theAlpine region. These high resolution numerical weather prediction data

Paris-Sud XI, Université de

377

210 VOLUME 126M O N T H L Y W E A T H E R R E V I E W 1998 American Meteorological Society  

E-Print Network [OSTI]

Adaptive Tuning of Numerical Weather Prediction Models: Simultaneous Estimation of Weighting, Smoothing the randomized trace method could be used to adaptively tune numerical weather prediction models via generalized contains terms that are toy versions of terms in- cluded in operational numerical weather prediction

Liblit, Ben

378

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

379

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

380

Geophysical Disaster Computational Fluid Dynamics Center Our scientific advances.  

E-Print Network [OSTI]

· Improve how Numerical Weather Prediction (NWP) models work. (numerics, dynamics, physics) · Use mountain-weather random errors by making many different NWP runs. (ensemble numerical prediction) · Reduce systematic outcomes. (probabilistic forecasting) · Predict weather and turbulence in the lower atmosphere where people

Note: This page contains sample records for the topic "numerical weather prediction" 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

Nonlinear Processes in Geophysics (2001) 8: 439448 Nonlinear Processes  

E-Print Network [OSTI]

implementations of ensemble fore- casting in global numerical weather prediction models rely on two different and theoretical elements. Of particular practical inter- est is the problem of numerical weather prediction. One) equations to operational numerical weather prediction mod- els (e.g. Buizza and Palmer, 1995; Buizza, 1995

Boyer, Edmond

382

Building a Parallel Spatio-Temporal Data-Text Corpus for Summary Ross Turner*, Somayajulu Sripada*, Ehud Reiter* and Ian P Davy**  

E-Print Network [OSTI]

of pounds. Modern weather fore- casting is driven by Numerical Weather Prediction (NWP) Models. Recent and the associated weather prediction data they are based upon. We also show how observations from an analysis.turner,yaji.sripada,e.reiter}@abdn.ac.uk idavy@weather3000.com Abstract We describe a corpus of naturally occurring road ice weather forecasts

Reiter, Ehud

383

On the quality of highresolution scatterometer winds Jur Vogelzang,1  

E-Print Network [OSTI]

operational applications include, among others, assimilation into global models for numerical weather weather prediction (NWP) model, the ambiguities and their a priori probabilities can be fed which originates from the fact that global weather models miss smallscale details observed

Stoffelen, Ad

384

Probabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging  

E-Print Network [OSTI]

is to issue deterministic forecasts based on numerical weather prediction models. Uncertainty canProbabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging J. Mc discretization than is seen in other weather quantities. The prevailing paradigm in weather forecasting

Washington at Seattle, University of

385

Selecting the Content of Textual Descriptions of Geographically Located  

E-Print Network [OSTI]

Generation (NLG) techniques to generate textual summaries of spatio- temporal numerical weather prediction prediction (NWP) data generated by computer simulations of weather models. In the RoadSafe project NWP data for winter road maintenance application. Modern weather forecasting is largely guided by numerical weather

Reiter, Ehud

386

Gridded Operational Consensus Forecasts of 2-m Temperature over Australia CHERMELLE ENGEL  

E-Print Network [OSTI]

-resolution grid. Local and in- ternational numerical weather prediction model inputs are found to have coarse by numerical weather prediction (NWP) model forecasts. As NWP models improve, public weather forecasting University of Melbourne, Melbourne, Victoria, Australia ELIZABETH E. EBERT Centre for Australia Weather

Ebert, Beth

387

ONLINE TOOL FOR VISUALIZING SURFACE HOAR LAYERS Simon Horton*, Michael Schirmer, Erik Kulyk, and Bruce Jamieson  

E-Print Network [OSTI]

is presented. KEYWORDS: surface hoar, avalanche forecasting, numerical weather prediction 1. INTRODUCTION Computer modelling has vastly improved the quality of weather forecasts over the past dec- ades. Numerical weather prediction models have become an essential weather forecasting tool with improved spatial

Jamieson, Bruce

388

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

389

Benefit of astronomy to ancient cultures Usefulness as a tool to predict the weather  

E-Print Network [OSTI]

Model · Tycho Brahe (1546-1601): Made accurate measurements of the positions of stars & planets · Johannes Kepler (1571-1630): interpreted Tycho's data #12;Phases of Venus Old

Walter, Frederick M.

390

Activity 3SOLAR PHYSICS AND TERRESTRIAL EFFECTS 59Space Weather Prediction Center  

E-Print Network [OSTI]

as the solar collection material. Ethylene glycol (antifreeze) might be used, or even a photovoltaic cell could

391

Accepted by Mon. Weather Rev. December 17, 1998. Convective Precursors and Predictability in the  

E-Print Network [OSTI]

in the Tropics are investigated by multivariate analysis of sounding and satellite data from the tropical western because it has been considered more complex and less well-understood than the activation problem, NASA Goddard Space Flight Center, Mail Code 916, Greenbelt, MD 20771 (ssherwood@alum.mit.edu) Many

Sherwood, Steven

392

WEATHER SEQUENCES FOR PREDICTING HVAC SYSTEM BEHAVIOUR IN RESIDENTIAL UNITS LOCATED IN TROPICAL CLIMATES.  

E-Print Network [OSTI]

. The sensations of thermal discomfort in these buildings have increased the energy consumption by the use. This development needs precise information about the effect of climate patterns on buildings. For energy find three types of database for the energy buildings simulations: - Simulations can be made by using

Boyer, Edmond

393

UCRL-JC-135414 PREPRINT Long-Range Weather Prediction And Prevention of Climate Catastrophes:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layeredof EnergyLeaseEnergy U.S.-Canadat e d,.456335414

394

Technical Report of Accomplishments of the Weatherization Leveraging Partnership Project  

SciTech Connect (OSTI)

The Weatherization Leveraging Partnership Project was established to provide three types of technical assistance support to W.A.P. network organizations seeking to achieve the Weatherization Plus goal of expanding their non-federal resources. It provided: (1) Analysis that profiled W.A.P.-eligible household energy characteristics and finances for all in determining efficiency investment targets and goals; (2) Detailed information on leveraged partnerships linked from many sources and created a website with finding aids to meet the needs the network identified. There are five major market segments with related, but different, technical assistance needs; (3) Direct, sustained assistance in preparing strategies, analyses, and communications for a limited set of local network initiatives that were in early stages of initiating or changing their resource expansion strategies. The Project identified trends in the challenges that weatherizers initiatives encountered; it designed materials and tools, including the dynamic www.weatherizationplus.org website, to meet the continuing and the emerging needs.

Economic Opportunity Studies

2007-09-30T23:59:59.000Z

395

Weatherization and Intergovernmental FY 2016 Budget At-A-Glance  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012NuclearBradleyBudget WaterWeatherization andWeatherization

396

Wavelets, Self-organizing Maps and Artificial Neural Nets for Predicting Energy Use and Estimating Uncertainties in Energy Savings in Commercial Buildings  

E-Print Network [OSTI]

This dissertation develops a "neighborhood" based neural network model utilizing wavelet analysis and Self-organizing Map (SOM) to predict building baseline energy use. Wavelet analysis was used for feature extraction of the daily weather profiles...

Lei, Yafeng

2010-01-14T23:59:59.000Z

397

Numerical Simulations of Thermobaric Explosions  

SciTech Connect (OSTI)

A Model of the energy evolution in thermobaric explosions is presented. It is based on the two-phase formulation: conservation laws for the gas and particle phases along with inter-phase interaction terms. It incorporates a Combustion Model based on the mass conservation laws for fuel, air and products; source/sink terms are treated in the fast-chemistry limit appropriate for such gas dynamic fields. The Model takes into account both the afterburning of the detonation products of the booster with air, and the combustion of the fuel (Al or TNT detonation products) with air. Numerical simulations were performed for 1.5-g thermobaric explosions in five different chambers (volumes ranging from 6.6 to 40 liters and length-to-diameter ratios from 1 to 12.5). Computed pressure waveforms were very similar to measured waveforms in all cases - thereby proving that the Model correctly predicts the energy evolution in such explosions. The computed global fuel consumption {mu}(t) behaved as an exponential life function. Its derivative {dot {mu}}(t) represents the global rate of fuel consumption. It depends on the rate of turbulent mixing which controls the rate of energy release in thermobaric explosions.

Kuhl, A L; Bell, J B; Beckner, V E; Khasainov, B

2007-05-04T23:59:59.000Z

398

Linking Cesium and Strontium Uptake to Kaolinite Weathering in  

E-Print Network [OSTI]

Linking Cesium and Strontium Uptake to Kaolinite Weathering in Simulated Tank Waste Leachate J O N and Sr. Strontium sorption was nearly complete within 24 h for initial Sr concentrations (Sr0) e 10-3 to 2 ? 10-3 d-1 as Cs and Sr concentrations were increased from 10-5 to 10-3 M. Discrete strontium

Chorover, Jon

399

Potential for using weather and climate information to support  

E-Print Network [OSTI]

. There is therefore need for effective and efficient flow of climate information from the climate scientists scale farmers practicing mixed farming #12;Mbeere Experience 17th March Workshop, Embu #12;MbeerePotential for using weather and climate information to support community resilience across

Stevenson, Paul

400

Exploiting weather forecasts for sizing photovoltaic energy bids  

E-Print Network [OSTI]

1 Exploiting weather forecasts for sizing photovoltaic energy bids Antonio Giannitrapani, Simone for a photovoltaic (PV) power producer taking part into a competitive electricity market characterized by financial set from an Italian PV plant. Index Terms--Energy market, bidding strategy, photovoltaic power

Giannitrapani, Antonello

Note: This page contains sample records for the topic "numerical weather prediction" 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

Changing Weather and Climate in the Great Lakes Region Webinar  

Broader source: Energy.gov [DOE]

Offered by the University of Wisconsin-Madison through Coursera, this four-week course will feature a new season each week through short lectures and activities covering Great Lakes weather, observed changes in the climate, and societal impacts of climate change.

402

Characterizing the Weather Band Variability of the Texas Coastal Current  

E-Print Network [OSTI]

the weather band frequencies (2-15 days). Currents with longer persistence are found to be relatively slow, generally below 10 cm s^(-1). Fast currents (> 50 cm s^(-1)) tend to be short-lived, typically lasting less than 72 hours. Maximum upcoast transport...

Zimmerle, Heather

2014-07-17T23:59:59.000Z

403

NORTHWESTERN UNIVERSITY Crack Response to Weather Effects, Blasting, and Construction  

E-Print Network [OSTI]

NORTHWESTERN UNIVERSITY Crack Response to Weather Effects, Blasting, and Construction Vibrations Acknowledgements iii Abstract iv List of Figures v List of Tables xi Chapter 1- Introduction 1 Chapter 2- Blast Vibration Response, Southbury, Connecticut 5 Structural Description Instrumentation Blast Response Crack

404

NIH Child Care Programs Inclement Weather -Opening and Closure Procedures  

E-Print Network [OSTI]

NIH Child Care Programs Inclement Weather - Opening and Closure Procedures The following procedures will be implemented as minimum standards to ensure that the NIH Child Care Programs are operating as normally, the NIH Child Care Programs hours of operation will be as follows: Announcement What Announcement Means

Baker, Chris I.

405

Sweet potatoes are a warm-weather vegetable  

E-Print Network [OSTI]

Sweet potatoes are a warm- weather vegetable related to the morning glory family.Although Louisiana sweet potatoes are often referred to as yams, they truly are sweet potatoes. The Louisiana producers began calling the orange-fleshed sweet potatoes grown in Louisiana"yams" to distinguish them from

406

Weather and Climate Laboratory METR 1014-910  

E-Print Network [OSTI]

of Sarkeys Energy Center. My job as your Teaching Assistant is to help you conceptualize the course materialSyllabus Weather and Climate Laboratory METR 1014-910 Fall 2012 Thursdays; 6:30-8:20; SEC P203 Laboratory Instructor: Austin Harris E-mail: a.harris@ou.edu Office hours: Thursday 5:30-6:30 or via

Droegemeier, Kelvin K.

407

Leveraging Weather Forecasts in Renewable Energy Navin Sharmaa,  

E-Print Network [OSTI]

Leveraging Weather Forecasts in Renewable Energy Systems Navin Sharmaa, , Jeremy Gummesonb , David, Binghamton, NY 13902 Abstract Systems that harvest environmental energy must carefully regulate their us- age to satisfy their demand. Regulating energy usage is challenging if a system's demands are not elastic, since

Shenoy, Prashant

408

Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems  

E-Print Network [OSTI]

Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems Navin Sharma,gummeson,irwin,shenoy}@cs.umass.edu Abstract--To sustain perpetual operation, systems that harvest environmental energy must carefully regulate their usage to satisfy their demand. Regulating energy usage is challenging if a system's demands

Shenoy, Prashant

409

Wet-Weather Pollution Prevention through Materials Substitution  

E-Print Network [OSTI]

1 Wet-Weather Pollution Prevention through Materials Substitution Shirley E. Clark, Ph.D., P the potential pollutant release from common building materials both when the materials are new and after aging often used to increase the operating range of asphalts and to prevent stripping of asphalt from binders

Clark, Shirley E.

410

A COMPARATIVE ANALYSIS OF THE INFLUENCE OF WEATHER ON THE  

E-Print Network [OSTI]

conditions (Bouten et al. 2003). This model will be used by experts as a decision support tool to reduceA COMPARATIVE ANALYSIS OF THE INFLUENCE OF WEATHER ON THE FLIGHT ALTITUDES OF BIRDS Meteorological/Bash/stats.html). The International Civil Aviation Organization (ICAO) has long acknowledged the risk of bird hazards to civil

Loon, E. Emiel van

411

Improving Societal Outcomes of Extreme Weather in a  

E-Print Network [OSTI]

of carbon dioxide and other greenhouse gases Adaptation: long-term or fundamental changes people make Despite hazard mitigation efforts and scientific and technological ad- vances, extreme weather events and ad- dressing local causes of harm through participatory, community-based efforts formulated within

Neff, Jason

412

-A Science Service Feature WHY 'J!lB WEATHER  

E-Print Network [OSTI]

University. BAROIVIETERUP. THERhOLETER CON" tltihen the barometer goes up the thermometer goes do-d and vice versa, is a Pretty fair rule fox wintar and early spring weather, and thermometer curves i m , , such as nyzY be repeated by anyone with an outdoor thermometer and an ordinary aneroid

413

Numerical control user experience  

SciTech Connect (OSTI)

AUTOCON is an acronym for Automatic Contouring, a program which generates a contour toolpath for the external profile of printed writing boards (PWB) using ICEM DDN. AUTOCON originates from the Computer Aided Process Planning (CAPP) Procedure developed by Electrical Manufacturing at Allied Bendix. The CAPP program uses electronically transmitted graphics files received from a design agency to generate automatic panel layouts and travellers for Process Engineers. The objective of AUTOCON is to utilize the information from the CAPP program to generate Numerical Control tapes. If the CAPP program can be utilized to its full potential, it is estimated that a good portion of the 60 to 90 PWB tapes shipped each month from our Numerical Control Department could be eliminated from conventional N/C Programming. The purpose of AUTOCON is to automatically generate a toolpath around the external profile of a PWB with no user intervention. The Process Engineer can generate a profile contour N/C tape after he has completed the panel layout and traveller through CAPPS for a part. After the layout and traveller illustrations have been completed, the same geometry can then be utilized again for the N/C tape. An N/C Analysist then reviews the listing for a final checkout of the job. 13 figs.

Butler, J.

1985-10-01T23:59:59.000Z

414

Coupling Sorption to Soil Weathering During Reactive Transport: Impacts of Mineral Transformation and Sorbent Aging on Contaminant Speciation and Mobility  

SciTech Connect (OSTI)

This project aimed for a predictive-mechanistic understanding of the coupling between mineral weathering and contaminant (Cs, Sr, I) transport/fate in caustic waste-impacted sediments. Based on our prior studies of model clay mineral systems, we postulated that contaminant uptake to Hanford sediments would reflect concurrent adsorption and co-precipitation effects. Our specific objectives were: (1) to assess the molecular-scale mechanisms responsible for time-dependent sequestration of contaminants (Cs, Sr and I) during penetration of waste-induced weathering fronts; (2) to determine the rate and extent of contaminant release from the sorbed state; (3) to develop a reactive transport model based on molecular mechanisms and macroscopic flow experiments [(1) and (2)] that simulates adsorption, aging, and desorption dynamics. Progress toward achieving each of these objectives is discussed below. We observed unique molecular mechanisms for sequestration of Sr, Cs and I during native silicate weathering in caustic waste. Product solids, which included poorly crystalline aluminosilicates and well-crystallized zeolites and feldspathoids, accumulate contaminant species during crystal growth.

Chorover, J.; Mueller, K. T.; O'Day, P. A.; Serne, R. J.; Steefel, C. I.

2009-10-30T23:59:59.000Z

415

Weather Factors and Performance of Network Utilities: A Methodology and Application to Electricity Distribution  

E-Print Network [OSTI]

Incentive regulation and efficiency analysis of network utilities often need to take the effect of important external factors, such as the weather conditions, into account. This paper presents a method for estimating the effect of weather conditions...

Jamasb, Tooraj; Orea, Luis; Pollitt, Michael G.

416

WIPP Field Practices: The Weatherization Client File: Accountability and Best Practices Webinar (text version)  

Broader source: Energy.gov [DOE]

It is about the client file, but more so it's about the large impact it has on the weatherized unit and how it can be used to track and complete a quality weatherized house.

417

Minerva, 4(2): 201-205 CONSIDERATIONS ABOUT WEATHERING EXPOSURE AND UV... 201  

E-Print Network [OSTI]

WEATHERING EXPOSURE AND UV DEGRADATION OF POLYMERIC GEOMEMBRANES Paulo César Lodi Department of Civil. UV degradation (photodegradation) is induced by irradiation with UV or visible light words: weathering exposure, UV degradation. Introduction All polymers are susceptible to degradation

Zornberg, Jorge G.

418

Applications of Copulas to Analysis of Efficiency of Weather Derivatives as Primary Crop Insurance Instruments  

E-Print Network [OSTI]

(2004), although certain methodological improvements covering issues of appropriate weather variables selection, simulation of joint weather/yield distribution, and measurement of risk reducing efficiency of proposed contracts, will be introduced...

Filonov, Vitaly

2012-10-19T23:59:59.000Z

419

So Much to Discover in Ohio: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Ohio 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

420

Georgia Champions Energy Efficiency Savings: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Georgia 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

Note: This page contains sample records for the topic "numerical weather prediction" 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

Promoting Independence in Rhode Island: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Rhode Island 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

422

Launching an Energy-Efficient Future in Alabama: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Alabama 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

423

A Living History of Energy Efficiency in Virginia: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Virginia 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

424

Oklahoma Orchestrates Energy Efficiency Solutions: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Oklahoma 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

425

Energy Savings Take Flight in North Carolina: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

North Carolina 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

426

Racing Towards Energy Efficiency in Indiana: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Indiana 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

427

Basket of Energy Benefits for Iowa: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Iowa 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

428

A Geyser of Energy Savings in Idaho: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Idaho 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

429

Harnessing Energy Savings in Tennessee: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Tennessee 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

430

Nebraska Cultivates Energy Efficiency Savings: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Nebraska 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

431

Oregon Blazes the Trail to Energy Efficiency: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Oregon 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

432

A Program Full of Bright Ideas for Kentucky: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Kentucky 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

433

Pennsylvania Sparks an Energy Efficiency Revolution: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Pennsylvania 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

434

Dazzling Minnesota with Energy Efficiency Savings: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Minnesota 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

435

West Virginia Advances Energy Efficiency: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

West Virginia 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

436

A Foundation of Energy Efficiency in South Carolina: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

South Carolina 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

437

Dynamical Spacetimes from Numerical Hydrodynamics  

E-Print Network [OSTI]

We numerically construct dynamical asymptotically-AdS$_4$ metrics by evaluating the fluid/gravity metric on numerical solutions of dissipative hydrodynamics in (2+1) dimensions. The resulting numerical metrics satisfy Einstein's equations in (3+1) dimensions to high accuracy.

Allan Adams; Nathan Benjamin; Arvin Moghaddam; Wojciech Musial

2014-11-07T23:59:59.000Z

438

Numerical Analysis Gordon K. Smyth  

E-Print Network [OSTI]

Numerical Analysis Gordon K. Smyth in Encyclopedia of Biostatistics (ISBN 0471 975761) Edited by Peter Armitage and Theodore Colton John Wiley & Sons, Ltd, Chichester, 1998 #12;Numerical Analysis Numerical analysis is concerned with the accurate and efficient evalua- tion of mathematical expressions

Smyth, Gordon K.

439

The Weather Is Our Water Supply:The Weather Is Our Water Supply: Community Involvement in Monitoring Climate  

E-Print Network [OSTI]

University Presented at New Mexico State University March 10, 2005, Las Cruces, NM. Prepared by Odie Bliss Climatologist and Senior Research Associate, nolan@atmos.colostate.edu Odie Bliss Coordinator, odie Monitoring Activities Fort Collins Historic Weather Station ­ Continuous observations from 1889 to present

440

September 10, 2007 Annotated Bibliography of Urban Wet Weather Flow Literature from 1996  

E-Print Network [OSTI]

Agency Wet-Weather Flow Program Urban Watershed Management Branch Water Supply & Water Resources Division........................................................................................................................................................................ 21 Heavy metals

Pitt, Robert E.

Note: This page contains sample records for the topic "numerical weather prediction" 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

Accelerated Weathering of High-Level and Plutonium-bearing Lanthanide...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lanthanide Borosilicate Waste Glasses under Hydraulically Unsaturated Accelerated Weathering of High-Level and Plutonium-bearing Lanthanide Borosilicate Waste...

442

The atmosphere complex... or simple? Spurred on by the revolution in computer technology and a growing focus on  

E-Print Network [OSTI]

in atmospheric science. It is ironic that thanks to his pioneering book "Weather prediction by numerical process" in 1922, Richardson is much better known as the father of numerical weather prediction than? The surprising answer appears to be both: a recent study of the outputs of numerical weather models shows

Lovejoy, Shaun

443

On estimating avalanche danger from simulated snow profiles Sascha Bellaire  

E-Print Network [OSTI]

that coupled snow cover and numerical weather prediction models can provide such information on the snow cover high-resolution numeric weather prediction model GEM-LAM. Experienced forecasters estimated. Forcing snow cover models with forecasted weather data from numerical models has been shown

Jamieson, Bruce

444

THE AMS WEATHER BOOK JAC K W I L L IAM S  

E-Print Network [OSTI]

THE AMS WEATHER BOOK JAC K W I L L IAM S #12;#12;#12;#12;#12;#12;#12;#12;#12;#12;#12;240 TROPICAL thunderstorms, tornadoes, or- ganized groups of thunderstorms, weather fronts, and tropical cyclones that are responsible for most of the deadly events that from time to time make big weather news. In the next chapter

445

ASSESSING THE QUALITY AND ECONOMIC VALUE OF WEATHER AND CLIMATE FORECASTS  

E-Print Network [OSTI]

INFORMATION SYSTEM Forecast -- Conditional probability distribution for event Z = z indicates forecast tornado #12;(1.2) FRAMEWORK Joint Distribution of Observations & Forecasts Observed Weather = Forecast probability p (e.g., induced by Z) Reliability Diagram Observed weather: = 1 (Adverse weather occurs) = 0

Katz, Richard

446

A Fresh Look at Weather Impact on Peak Electricity Demand and  

E-Print Network [OSTI]

LBNL-6280E A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data Road, Berkeley, CA 94720, USA 2 Green Energy and Environment Research Laboratories, Industrial

447

Entropy Shows that Global Warming Should Cause Increased Variability in the Weather  

E-Print Network [OSTI]

Elementary physical reasoning seems to leave it inevitable that global warming would increase the variability of the weather. The first two terms in an approximation to the global entropy are used to show that global warming has increased the free energy available to drive the weather, and that the variance of the weather should increase correspondingly.

John Michael Williams

2001-02-21T23:59:59.000Z

448

Notes and Discussion Vole Population Dynamics: Influence of Weather Extremes on Stoppage of  

E-Print Network [OSTI]

Notes and Discussion Vole Population Dynamics: Influence of Weather Extremes on Stoppage of Population Growth ABSTRACT.--Effects of 74 episodes of extreme weather on stoppage of population growth of extreme weather may have stopped population growth of only six M. ochrogaster fluctuations and of two M

Oli, Madan K.

449

Motivation Measurements EVA Results Issues/Future Work Weather and Climate Extremes: cape times shear  

E-Print Network [OSTI]

Motivation Measurements EVA Results Issues/Future Work Weather and Climate Extremes: cape times Weather/Climate Extremes 1 / 19 c University Corporation for Atmospheric Research. All rights reserved scales. E Gilleland Weather/Climate Extremes 2 / 19 c University Corporation for Atmospheric Research

Gilleland, Eric

450

The optimal prediction method  

E-Print Network [OSTI]

Mathematics. In optimal prediction. Communications press,and R. Kupferman. On the prediction of large- scale dynamicsand D. Levy. Optimal prediction and pertur- bation theory.

Burin des Roziers, T.

2011-01-01T23:59:59.000Z

451

NUMERICAL MODELING OF CATHODE CONTACT MATERIAL DENSIFICATION  

SciTech Connect (OSTI)

Numerical modeling was used to simulate the constrained sintering process of the cathode contact layer during assembly of solid oxide fuel cells (SOFCs). A finite element model based on the continuum theory for sintering of porous bodies was developed and used to investigate candidate low-temperature cathode contact materials. Constitutive parameters for various contact materials under investigation were estimated from dilatometry screening tests, and the influence of processing time, processing temperature, initial grain size, and applied compressive stress on the free sintering response was predicted for selected candidate materials. The densification behavior and generated stresses within a 5-cell planar SOFC stack during sintering, high temperature operation, and room temperature shutdown were predicted. Insufficient constrained densification was observed in the stack at the proposed heat treatment, but beneficial effects of reduced grain size, compressive stack preload, and reduced thermal expansion coefficient on the contact layer densification and stresses were observed.

Koeppel, Brian J.; Liu, Wenning N.; Stephens, Elizabeth V.; Khaleel, Mohammad A.

2011-11-01T23:59:59.000Z

452

Ann. Geophys., 24, 24512460, 2006 www.ann-geophys.net/24/2451/2006/  

E-Print Network [OSTI]

It is well known that Numerical Weather Prediction (NWP) models usually exhibit systematic errors. This work is based on observations and corre- sponding numerical weather predictions of two meteorologi- cal weather predictions G. Galanis1,2, P. Louka1,3, P. Katsafados1, I. Pytharoulis1,4, and G. Kallos1 1

Paris-Sud XI, Université de

453

DEPARTMENT OF STATISTICS University of Wisconsin  

E-Print Network [OSTI]

REPORT NO. 920 April 27, 1994 Adaptive tuning of numerical weather prediction models: Part I: randomized weather prediction models in mind, but the results are applicable more generally to computer models is given. In order to be useful in operational numerical weather prediction, the estimates must have

Liblit, Ben

454

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.

455

7, 72357275, 2007 Adaptive radiative  

E-Print Network [OSTI]

Discussions Two adaptive radiative transfer schemes for numerical weather prediction models V. Venema 1 , A numerical weather prediction (NWP) and climate models. The atmosphere and the land surface are complex-stream approximation. In most weather prediction models these parameterisation schemes are therefore called infre

Boyer, Edmond

456

Adv. Geosci., 10, 139144, 2007 www.adv-geosci.net/10/139/2007/  

E-Print Network [OSTI]

Weather forecast systems have to be evaluated. Nowadays, limited-area numerical weather prediction models probabilities by integration of an ensemble of numerical weather prediction models from slightly different prediction system COSMO-LEPS. The ap- plied performance measure is the often used Brier skill score (BSS

Paris-Sud XI, Université de

457

A Vision of the Future USWRP A White Paper  

E-Print Network [OSTI]

in the U.S. Synoptic-scale numerical prediction models (e.g., NCEP GFS) are producing far more accurate prediction in the U.S. in general. This document considers such issues and suggests that weather prediction will be short-term weather prediction from 0 through 72 h. Weather Prediction in the U.S.: Not Living Up to its

Mass, Clifford F.

458

Applicability of radar observations to the prediction of storm runoff  

E-Print Network [OSTI]

of Depaverne. (Yiembe~ 1967 (Yonwh) (Yea ) ABSTRACT Rainfall-runoff relaL'ronships fox 18 storms over the Little Nashita River basin in Oklahoma are studied in order to develop a method for predicting storm losses based on weather-radar observational..., for the use of their computer facilities. Credit is due Mr. M. A. Hartman, Chief Research Engineer, Agricultural Research Service, Chickasha, Oklahoma, for his assistance in obtaining treamflow and rainfall data from records maintained by the Agricultural...

Johnson, Odell Monroe

2012-06-07T23:59:59.000Z

459

The use of composite radar photographs in synoptic weather analysis  

E-Print Network [OSTI]

. 'Weather Su"eau radar ste- tions have been collecting radar observations. These observations were in the form of time lapse motion pictures of their' ppl scopes made during periods when precipitation echoes vere present. The photographic records thus... TEE MATERIALS USED AND TSE STORMS STUDIED The materials used in this study were (I) X6 xxu aud 33 xxx photosraphic records of ppl scopee at several staticuii; (I) a Seiiei of . hourly composite radar photodraphs of storms which occurred on 27 May...

Smith, G. D.

1957-01-01T23:59:59.000Z

460

Space Weather Effects on Imaging Detectors in Low Earth Orbit  

E-Print Network [OSTI]

of imaging sensors, the availability and access to proton and radia- tion sources, and the need to perform modeling and extrapolate the results from the experiments conducted on earth to the space weather environment. Another means of analysis is statistical... to the CCD plane, then the proton can cross multiple pixels, creating electron hole-pairs in each one, as illustrated in Figure (2). As with electrons created by photons, the electrons created by protons will be collected if inside the active region...

Johnson, Adam Alan

2010-10-12T23:59:59.000Z

Note: This page contains sample records for the topic "numerical weather prediction" 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

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network [OSTI]

it can generate as much or more energy that it needs ? Building activities need N kWhrs per day (solar panels, heating, etc) ? Harvested from solar panels & passive solar. Amount depends on weather ? NWP models forecast DSWRF @ surface (MJ/m2... contract work Saturday Would you plan work for Saturday? Not much detail for Saturday and Sunday With more info could be easier to decide go, no go From deterministic to probabilistic ? Forecast presented as a single scenario ? One scenario presented...

Poulin, L.

2013-01-01T23:59:59.000Z

462

Borough of Weatherly, Pennsylvania (Utility Company) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuo Feng BioInformationInformation Weatherly,

463

Weatherization Assistance Program - The American Recovery and Reinvestment  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| DepartmentVolvoWaterWeatherization Assistance

464

Weatherization and Intergovernmental FY14 Budget At-a-Glance  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTAL FY14 BUDGET

465

Weatherization and Intergovernmental Programs Office Events | Department of  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION AND INTERGOVERNMENTALEnergy March

466

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect (OSTI)

In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

2009-03-01T23:59:59.000Z

467

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

468

Numerical Modeling of HCCI Combustion  

Broader source: Energy.gov (indexed) [DOE]

Numerical Modeling of HCCI Combustion Salvador M. Aceves, Daniel L. Flowers, J. Ray Smith, Joel Martinez-Frias, Francisco Espinosa-Loza, Tim Ross, Bruce Buchholz, Nick...

469

Numerical Results for the Blue Phases  

E-Print Network [OSTI]

We review recent numerical work investigating the equilibrium phase diagram, and the dynamics, of the cholesteric blue phases. In equilibrium numerical results confirm the predictions of the classic analytical theories, and extend them to incorporate different values of the elastic constants, or the effects of an applied electric field. There is a striking increase in the stability of blue phase I in systems where the cholesteric undergoes helical sense inversion, and the anomalous electrostriction observed in this phase is reproduced. Solving the equations of motion allows us to present results for the phase transition kinetics of blue phase I under dielectric or flexoelectric coupling to an applied electric field. We also present simulations of the blue phases in a flow field, showing how the disclination network acts to oppose the flow. The results are based on the Landau-de Gennes exapnsion of the liquid crystal free energy: that such a simple and elegant theory can predict such complex and subtle physical behaviour is remarkable.

G. P. Alexander; J. M. Yeomans

2009-06-04T23:59:59.000Z

470

Integration of space weather into space situational awareness  

SciTech Connect (OSTI)

Rapid assessment of space weather effects on satellites is a critical step in anomaly resolution and satellite threat assessment. That step, however, is often hindered by a number of factors including timely collection and delivery of space weather data and the inherent com plexity of space weather information. As part of a larger, integrated space situational awareness program, Los Alamos National Laboratory has developed prototype operational space weather tools that run in real time and present operators with customized, user-specific information. The Dynamic Radiation Environment Assimilation Model (DREAM) focuses on the penetrating radiation environment from natural or nuclear-produced radiation belts. The penetrating radiation environment is highly dynamic and highly orbit-dependent. Operators often must rely only on line plots of 2 MeV electron flux from the NOAA geosynchronous GOES satellites which is then assumed to be representative of the environment at the satellite of interest. DREAM uses data assimilation to produce a global, real-time, energy dependent specification. User tools are built around a distributed service oriented architecture (SOA) which will allow operators to select any satellite from the space catalog and examine the environment for that specific satellite and time of interest. Depending on the application operators may need to examine instantaneous dose rates and/or dose accumulated over various lengths of time. Further, different energy thresholds can be selected depending on the shielding on the satellite or instrument of interest. In order to rapidly assess the probability that space weather was the cause of anomalous operations, the current conditions can be compared against the historical distribution of radiation levels for that orbit. In the simplest operation a user would select a satellite and time of interest and immediately see if the environmental conditions were typical, elevated, or extreme based on how often those conditions occur in that orbit. This allows users to rapidly rule in or out environmental causes of anomalies. The same user interface can also allow users to drill down for more detailed quantitative information. DREAM can be run either from a distributed web-based user interface or as a stand-alone application for secure operations. In this paper we discuss the underlying structure of the DREAM model and demonstrate the user interface that we have developed . We also present some prototype data products and user interfaces for DREAM and discuss how space environment information can be seamlessly integrated into operational SSA systems.

Reeves, Geoffrey D [Los Alamos National Laboratory

2010-11-09T23:59:59.000Z

471

An analysis of the data collection modes of a digital weather radar system with respect to significant severe weather features  

E-Print Network [OSTI]

. CONCLUSIONS AND RECOMMENDATIONS. Conclusions Recommendations Page 109 109 111 REFERENCES. APPENDIX A. APPENDIX B. 113 115 131 143 viii LIST OF TABLES Table Page WSR/TAM-2 Weather Radar Technical Characteristics. . . 20 Antenna Scan Rates (rpm... reduction techniques can be applied. The usual pracr. ice is to measure the returned power in terms of decibels with respect to a standard reference power level, normally 1 mw. Power levels are then expressed in units of dBm, either above (+) or below...

Neyland, Michael Arthur

1978-01-01T23:59:59.000Z

472

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

473

E-Print Network 3.0 - airborne hazard prediction Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Engineering, University of Nebraska-Lincoln Collection: Engineering 13 AIR-DEPOSITED POLLUTION IN THE ANACOSTIA RIVER WATERSHED Summary: to a numerical algorithm to predict the...

474

Coupling Terrestrial and Atmospheric Water Dynamics to Improve Prediction in a Changing Environment  

E-Print Network [OSTI]

Fluxes across the land surface directly influence predictions of ecological processes, atmospheric dynamics, and terrestrial hydrology. However, many simplifications are made in numerical models when considering ...

Lyon, Steve W.; Dominguez, Francina; Gochis, David J.; Brunsell, Nathaniel A.; Castro, Christopher; Chow, Fotini K.; Fan, Ying; Fuka, Daniel; Hong, Yang; Kucera, Paul A.; Nesbitt, Stephen W.; Salzmann, Nadine; Schmidli, Juerg; Snyder, Peter K.; Teuling, Adriaam J.; Twine, Tracy E.; Levis, Samuel; Lundquist, Jessica D.; Salvucci, Guido D.; Sealy, Andrea M.; Walter, M. Todd

2008-09-01T23:59:59.000Z

475

Numerical Simulations of Island Effects on Airflow and Weather during the Summer over the Island of Oahu  

E-Print Network [OSTI]

, Honolulu, Hawaii FRANCIS FUJIOKA Pacific Southwest Research Station, USDA Forest Service, Riverside flow from the open ocean is distorted and disrupted by the mountains, hills, and valleys of the islands

Chen, Yi-Leng

476

A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data  

SciTech Connect (OSTI)

Buildings consume more than one third of the world?s total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

Hong, Tianzhen; Chang, Wen-Kuei; Lin, Hung-Wen

2013-05-01T23:59:59.000Z

477

Numerical Simulations in Cosmology I  

E-Print Network [OSTI]

The purpose of these lectures is to give a short introduction into a very vast field of numerical simulations for cosmological applications. I focus on major features of the simulations: the equations, main numerical techniques, effects of resolution, and methods of halo identification.

A. Klypin

1996-05-30T23:59:59.000Z

478

SIMULATION-BASED WEATHER NORMALIZATION APPROACH TO STUDY THE IMPACT OF WEATHER ON ENERGY USE OF BUILDINGS IN THE U.S.  

SciTech Connect (OSTI)

Weather normalization is a crucial task in several applications related to building energy conservation such as retrofit measurements and energy rating. This paper documents preliminary results found from an effort to determine a set of weather adjustment coefficients that can be used to smooth out impacts of weather on energy use of buildings in 1020 weather location sites available in the U.S. The U.S. Department of Energy (DOE) commercial reference building models are adopted as hypothetical models with standard operations to deliver consistency in modeling. The correlation between building envelop design, HVAC system design and properties for different building types and the change in heating and cooling energy consumption caused by variations in weather is examined.

Makhmalbaf, Atefe; Srivastava, Viraj; Wang, Na

2013-08-05T23:59:59.000Z

479

Prediction of Welding Distortion Panagiotis Michaleris and Andrew DeBiccari  

E-Print Network [OSTI]

1 Prediction of Welding Distortion Panagiotis Michaleris and Andrew DeBiccari Edison Welding Institute Columbus, Ohio ABSTRACT. This paper presents a numerical analysis technique for predicting welding induced distortion. The technique combines two dimensional welding simulations with three dimensional

Michaleris, Panagiotis

480

Development of a scalable model for predicting arsenic transport coupled with oxidation and adsorption reactions  

E-Print Network [OSTI]

modeling; Contaminant transport; Scaling; Numerical modeling 1. Introduction Management of groundwaterDevelopment of a scalable model for predicting arsenic transport coupled with oxidation is critical for predicting its transport dynamics in groundwater systems. We completed batch experiments

Clement, Prabhakar

Note: This page contains sample records for the topic "numerical weather prediction" from the National Library of EnergyBeta (NLEBeta).
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481

Paper accepted for presentation at 2003 IEEE Bologna PowerTech Conference, June 23-26, Bologna, Italy Wind Power Forecasting using Fuzzy Neural Networks  

E-Print Network [OSTI]

, Italy Wind Power Forecasting using Fuzzy Neural Networks Enhanced with On-line Prediction Risk) as input, to predict the power production of wind park8 48 hours ahead. The prediction system integrates of the numerical weather predictions. Index Term-Wind power, short-term forecasting, numerical weather predictions

Paris-Sud XI, Universit de

482

Numerical Investigation of Temperature Distribution on a High Pressure Gas Turbine Blade  

E-Print Network [OSTI]

A numerical code is developed to calculate the temperature distributions on the surface of a gas turbine blade. This code is a tool for quick prediction of the temperatures by knowing the boundary conditions and the flow conditions, and doesn...

Zirakzadeh, Hootan

2014-08-10T23:59:59.000Z

483

Procedure for Packing Weather Files for DOE-2e  

E-Print Network [OSTI]

\\Programs\\Hourly_Missing_Filled_Calc.xlsx) for calculating the missing data. Weather Stations Names Alternative Stations for Gap Filling (1st Option) Alternative Stations for Gap Filling (2nd Option) ABI Abilene Regional Airport SJT San Angelo Mathis Field MA marillo International Airport LBB Lubbock....noaa.gov/CDO/cdo) Step 1. Click ?Country? Step 2. Select country and click ?Access Data Products? Step3. Select ?Surface Data, Hourly Global (Over 10,000 worldwide sites)?, and click ?Access Data Products? ESL-TR-10-09-03 Step4. Click ?I agree to these terms...

Kim, K. H.; Baltazar-Cervantes, J. C.

484

Obama-Biden Administration Announces Nearly $30 Million in Weatherization  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced ScorecardReactor TechnologyOFFICE: I Oak Ridge,8 8 8WeatherizationFunding

485

Weatherization and Energy Efficiency Success Stories | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012NuclearBradleyBudget WaterWeatherization and Energy

486

New Weatherization Training Center Opens in Utah | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergy HealthCommentsAugustNationalMarketsMillion DOE AwardWeatherization Training

487

Fair-weather clouds hold dirty secret | EMSL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES6FYRANDOMOverview The SavannahFailureFair-weather

488

Weather and the Transport of Hazardous Materials | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation | Department of EnergyDepartmentEnergyU.S. DOE6WaterWater PowerWeather

489

U.S. Department of Energy Weatherization Assistance Program Homes  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of EnergyofProject is on Track |Weatherized By State through 06/30/2010 (Calendar

490

Microsoft PowerPoint - TWPICE Weather Overview.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping Richland OperationsU.S.OnlineTank09 Little27,Earl28NewWeather

491

Weatherization Assistance Program - The American Recovery and Reinvestment  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| DepartmentVolvoWaterWeatherization Assistance ProgramAct

492

Appendix K - GPRA06 Weatherization and Intergovernmental Program (WIP) Documentation  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: Top Five EERE Blog Posts1-034C. Lawrence About Us- GPRA06 Weatherization and

493

Latent feature models for dyadic prediction /  

E-Print Network [OSTI]

prediction . . . . . . . . . . . . . . . . . . . . . . . . .Response prediction . . . . . . . . . . . . . . . . . . .2.4.3 Weighted link prediction . . . . . .

Menon, Aditya Krishna

2013-01-01T23:59:59.000Z

494

On Possible Influence of Space Weather on Agricultural Markets: Necessary Conditions and Probable Scenarios  

E-Print Network [OSTI]

We present the results of study of a possible relationship between the space weather and terrestrial markets of agricultural products. It is shown that to implement the possible effect of space weather on the terrestrial harvests and prices, a simultaneous fulfillment of three conditions is required: 1) sensitivity of local weather (cloud cover, atmospheric circulation) to the state of space weather; 2) sensitivity of the area of specific agricultural crops to the weather anomalies (belonging to the area of risk farming); 3) relative isolation of the market, making it difficult to damp the price hikes by the external food supplies. Four possible scenarios of the market response to the modulations of local terrestrial weather via the solar activity are described. The data sources and analysis methods applied to detect this relationship are characterized. We describe the behavior of 22 European markets during the medieval period, in particular, during the Maunder minimum (1650-1715). We demonstrate a reliable m...

Pustilnik, Lev

2013-01-01T23:59:59.000Z

495

IC performance prediction system  

E-Print Network [OSTI]

electrical test data, supplemented with in-line and in-situ data to make performance predictions. Based on the waterlevel parametric test, we will predict chip performance in order to select the appropriate package. Predictions that fall outside acceptable...

Ramakrishnan, Venkatakrishnan

1996-01-01T23:59:59.000Z

496

Numerical Relativity at the Frontier  

E-Print Network [OSTI]

Numerical relativity is an essential tool for solving Einstein's equations of general relativity for dynamical systems characterized by high velocities and strong gravitational fields. The implementation of new algorithms that can solve these nonlinear equations in 3+1 dimensions has enabled us to tackle many long-standing problems of astrophysical interest, leading to an explosion of important new results. Numerical relativity has been used to simulate the evolution of a diverse array of physical systems, including coalescing black hole and neutron star binaries, rotating and collapsing compact objects (stars, collisionless clusters, and scalar fields), and magnetic and viscous stars, to name a few. Numerical relativity has been exploited to address fundamental points of principle, including critical phenomena and cosmic censorship. It holds great promise as a guide for interpreting observations of gravitational waves and gamma-ray bursts and identifying the sources of such radiation. Highlights of a few recent developments in numerical relativity are sketched in this brief overview.

Stuart L. Shapiro

2005-09-23T23:59:59.000Z

497

An investigation of the vertical and temporal distributions of the eddy heat-diffusion coefficient near the earth's surface under fair-weather conditions  

E-Print Network [OSTI]

facilities avail- able at the Data Processing Center (DPC), Texas A&M Univer- sity, this investigation would not have been temporally possible. Deep appreciation goes to all DPC personnel for their tireless assistance. Thanks must go to Mr. Lundin, my...-Weather Conditions (January 1965) Eugene Y J, Wong, B. S, , Texas A&M University Directed by: Dr. Kenneth C. Brundidge A numerical scheme was devised to solve the Tavlor heat-diffusion equation for values of the eddy heat- diffusion coefficient, K, using a...

Wong, Eugene You June

1965-01-01T23:59:59.000Z

498

Numerical analysis of a model for Nickel-Iron alloy electrodeposition on rotating disk  

E-Print Network [OSTI]

Numerical analysis of a model for Nickel-Iron alloy electrodeposition on rotating disk electrode N the nickel-iron electrodeposition process, we have developed one-dimensional numerical model. This model ad can predict characteristic features of the nickel-iron sys- tem. this work was supported

Paris-Sud XI, Universit de

499

Strontium and carbon isotope stratigraphy of the Llandovery (Early Silurian): Implications for tectonics and weathering  

E-Print Network [OSTI]

Strontium and carbon isotope stratigraphy of the Llandovery (Early Silurian): Implications online 2 June 2010 Keywords: Silurian Strontium isotopes Carbon isotopes Weathering K-bentonites A high

Saltzman, Matthew R.

500

E-Print Network 3.0 - accelerated weathering tests Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

investigation of the influence of molecular structure on natural and accelerated UV degradation Summary: to natural and accelerated weather conditions. The degree of UV...