National Library of Energy BETA

Sample records for numerical weather prediction

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

    E-Print Network [OSTI]

    Mathiesen, Patrick James

    2013-01-01

    of numerical weather prediction solar irradiance forecastsof numerical weather prediction solar irradiance forecastsnumerical weather prediction model for solar irradiance

  2. Data Assimilation for Idealised Mathematical Models of Numerical Weather Prediction

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    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 in weather dynamics, e.g., the asymptotic balance seen in high and low pressure systems. Aims of the project

  3. Numerical Prediction of High-Impact Local Weather: A

    E-Print Network [OSTI]

    Xue, Ming

    Chapter 6 Numerical Prediction of High-Impact Local Weather: A Driver for Petascale Computing Ming .................................................. 116 6.4 Numerical Weather Prediction Challenges and Requirements .......... 119 6.5 Summary The so-called mesoscale and convective scale weather events, including floods, tornadoes, hail, strong

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

    2013-01-01

    of numerical weather prediction solar irradiance forecasts numerical weather prediction model for solar irradiance weather prediction for intra?day solar  forecasting in the 

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

    E-Print Network [OSTI]

    Kwak, Do Young

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

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

    E-Print Network [OSTI]

    Mathiesen, Patrick James

    2013-01-01

    Evaluation of numerical weather prediction solar irradiancecycle: The RUC. Monthly Weather Review, 132 (2), 495-518.representations. Monthly Weather Review, 139 (6), 1972-1995.

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Kleissl, Jan

    2011-01-01

    transport and  numerical weather modeling.   J.  Applied cross correlations.    Weather and Forecasting, 8:4, 401?of radiation for numerical weather prediction and climate 

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Kleissl, Jan

    2011-01-01

    Numerical Weather Prediction (NWP), Solar Forecasting  1.   to more accurate prediction of solar  irradiance, given a to create daily solar electricity predictions accurate to 

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

    2013-01-01

    cycle:  The RUC.  Monthly Weather  Review.   132, 495?518.  th  Conference on  Numerical Weather Prediction.   American closure schemes.   Monthly Weather Review.   122, 927?945.  

  10. Passive millimeter-wave retrieval of global precipitation utilizing satellites and a numerical weather prediction model

    E-Print Network [OSTI]

    Surussavadee, Chinnawat

    2007-01-01

    This thesis develops and validates the MM5/TBSCAT/F([lambda]) model, composed of a mesoscale numerical weather prediction (NWP) model (MM5), a two-stream radiative transfer model (TBSCAT), and electromagnetic models for ...

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

    E-Print Network [OSTI]

    Knievel, Jason Clark

    Temporal Changes in Wind as Objects for Evaluating Mesoscale Numerical Weather Prediction DARAN L changes in simulated and observed 10-m (AGL) winds. The method is demon- strated on a 1-yr collection of 1-day simulations by the fifth-generation Pennsylvania State University­ National Center for Atmospheric

  12. Precipitation sensitivity to autoconversion rate in a Numerical Weather Prediction model

    E-Print Network [OSTI]

    Marsham, John

    1 Precipitation sensitivity to autoconversion rate in a Numerical Weather Prediction model Céline;2 Summary Aerosols are known to significantly affect cloud and precipitation patterns and intensity. The impact of changing cloud droplet number concentration (CDNC), on cloud and precipitation evolution can

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

    E-Print Network [OSTI]

    Mathiesen, Patrick James

    2013-01-01

    weather prediction solar irradiance forecasts in the US.2013: Review of solar irradiance forecasting methods and asatellite-derived irradiances: Description and validation.

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

    SciTech Connect (OSTI)

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

    2014-06-01

    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.

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

    E-Print Network [OSTI]

    Mathiesen, Patrick James

    2013-01-01

    electric grid. Chapter 2 Marine Layer Meteorology 2.1 Marine Layer Stratocumulus Overview In coastal California, the dominant weather

  16. Lateral boundary errors in regional numerical weather

    E-Print Network [OSTI]

    ?umer, Slobodan

    Lateral boundary errors in regional numerical weather prediction models Author: Ana Car Advisor, they describe evolution of atmospher - weather forecast. Every NWP model solves the same system of equations (1: assoc. prof. dr. Nedjeljka Zagar January 5, 2015 Abstract Regional models are used in many national

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Kleissl, Jan

    2011-01-01

    to  predict daily solar radiation.   Agriculture and Forest and Chuo, S.   2008.  Solar radiation forecasting using Short?term forecasting of solar radiation:   A statistical 

  18. Global weather prediction -Possible developments in the next decades -

    E-Print Network [OSTI]

    Begstsson, Lennart

    Global weather prediction -Possible developments in the next decades - Professor Lennart Bengtsson) It is by now almost fifty years since I first read L. F. Richardsons book ,,Weather prediction by numerical in weather and weather prediction I found the book all in all exciting, although quite a bit eccentric

  19. Impact of vegetation properties on U.S. summer weather prediction

    E-Print Network [OSTI]

    Xue, Y; Fennessy, M; Sellers, P

    1996-01-01

    Meteorological Center, Mon. Weather Rev. , 108, 1279-1292,VEGETATION IN U.S. SUMMER WEATHER model (SIB) for use withinConference on Numerical Weather Prediction, pp. 726 -733,

  20. Predicting weather-related emergency blackspots

    E-Print Network [OSTI]

    Predicting weather-related emergency blackspots The STFC Hartree Centre's high-calibre data types of emergency occurring in specific places under specific weather conditions. Focusing initially on Hampshire, this solution ­ known as WUDoWUD (Weather You Do or Whether You Don't) ­ has clear potential

  1. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    D. Kondrashov; J. Shen; R. Berk; F. D

    2011-01-01

    R, D’Andrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 1616–1627. Kimoto M,D, Ide K, Ghil M (2004) Weather regimes and preferred

  2. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    Kondrashov, D.; Shen, J.; Berk, R.; D., F

    2006-01-01

    R, D’Andrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 1616–1627. Kimoto M,D, Ide K, Ghil M (2004) Weather regimes and preferred

  3. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    Kondrashov, Dmitri; Shen, Jie; Berk, Richard; D'Andrea, F.; Ghil, M.

    2006-01-01

    R, D'Andrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 1616-1627. Kimoto M ,D, Ide K , Ghil M (2004) Weather regimes and preferred

  4. ASSIMILATION OF DOPPLER RADAR DATA INTO NUMERICAL WEATHER MODELS

    SciTech Connect (OSTI)

    Chiswell, S.; Buckley, R.

    2009-01-15

    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.

  5. Discussion of long-range weather prediction

    SciTech Connect (OSTI)

    Canavan, G.H.

    1998-09-10

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

  6. Space Weather Prediction with Exascale Computing

    E-Print Network [OSTI]

    Lapenta, Giovanni

    2011-01-01

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

  7. Open problem: Dynamic Relational Models for Improved Hazardous Weather Prediction

    E-Print Network [OSTI]

    McGovern, Amy

    Open problem: Dynamic Relational Models for Improved Hazardous Weather Prediction Amy McGovern1 dis- covery methods for use on mesoscale weather data. Severe weather phenomena such as tornados, thun, current techniques for predicting severe weather are tied to specific characteristics of the radar systems

  8. Weather regime prediction using statistical learning

    E-Print Network [OSTI]

    Deloncle, A.; Berk, Richard; D’Andrea, F.; Ghil, M.

    2005-01-01

    and B. Legras, 1995: Weather regimes: Recurrence and quasi10952. Molteni, F. , 2002: Weather regimes and multipleK. Ide, and M. Ghil, 2004: Weather regimes and preferred

  9. Weather Regime Prediction Using Statistical Learning

    E-Print Network [OSTI]

    Deloncle, A.; Berk, Richard A.; D'Andrea, F.; Ghil, M.

    2005-01-01

    and B. Legras, 1995: Weather regimes: Recurrence and quasi10952. Molteni, F. , 2002: Weather regimes and multipleK. Ide, and M. Ghil, 2004: Weather regimes and preferred

  10. Weather Regime Prediction Using Statistical Learning

    E-Print Network [OSTI]

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

    2011-01-01

    and B. Legras, 1995: Weather regimes: Recurrence and quasi10952. Molteni, F. , 2002: Weather regimes and multipleK. Ide, and M. Ghil, 2004: Weather regimes and preferred

  11. The origins of computer weather prediction and climate modeling

    SciTech Connect (OSTI)

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

    2008-03-20

    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.

  12. Weather Forecasting -Predicting Performance for Streaming Video over Wireless LANs

    E-Print Network [OSTI]

    Claypool, Mark

    Weather Forecasting - Predicting Performance for Streaming Video over Wireless LANs Mingzhe Li, "weather forecasts" are created such that selected wireless LAN performance indicators might be used to evaluate the effec- tiveness of individual weather forecasts. The paper evaluates six distinct weather

  13. Weather Forecasting Predicting Performance for Streaming Video over Wireless LANs

    E-Print Network [OSTI]

    Claypool, Mark

    Weather Forecasting ­ Predicting Performance for Streaming Video over Wireless LANs Mingzhe Li, ``weather forecasts'' are created such that selected wireless LAN performance indicators might be used to evaluate the e#ec­ tiveness of individual weather forecasts. The paper evaluates six distinct weather

  14. Downscaling Extended Weather Forecasts for Hydrologic Prediction

    SciTech Connect (OSTI)

    Leung, Lai-Yung R.; Qian, Yun

    2005-03-01

    Weather and climate forecasts are critical inputs to hydrologic forecasting systems. The National Center for Environmental Prediction (NCEP) issues 8-15 days outlook daily for the U.S. based on the Medium Range Forecast (MRF) model, which is a global model applied at about 2? spatial resolution. Because of the relatively coarse spatial resolution, weather forecasts produced by the MRF model cannot be applied directly to hydrologic forecasting models that require high spatial resolution to represent land surface hydrology. A mesoscale atmospheric model was used to dynamically downscale the 1-8 day extended global weather forecasts to test the feasibility of hydrologic forecasting through this model nesting approach. Atmospheric conditions of each 8-day forecast during the period 1990-2000 were used to provide initial and boundary conditions for the mesoscale model to produce an 8-day atmospheric forecast for the western U.S. at 30 km spatial resolution. To examine the impact of initialization of the land surface state on forecast skill, two sets of simulations were performed with the land surface state initialized based on the global forecasts versus land surface conditions from a continuous mesoscale simulation driven by the NCEP reanalysis. Comparison of the skill of the global and downscaled precipitation forecasts in the western U.S. showed higher skill for the downscaled forecasts at all precipitation thresholds and increasingly larger differences at the larger thresholds. Analyses of the surface temperature forecasts show that the mesoscale forecasts generally reduced the root-mean-square error by about 1.5 C compared to the global forecasts, because of the much better resolved topography at 30 km spatial resolution. In addition, initialization of the land surface states has large impacts on the temperature forecasts, but not the precipitation forecasts. The improvements in forecast skill using downscaling could be potentially significant for improving hydrologic forecasts for managing river basins.

  15. Dynamic prediction of terminal-area severe convective weather penetration

    E-Print Network [OSTI]

    Schonfeld, Daniel (Daniel Ryan)

    2015-01-01

    Despite groundbreaking technology and revised operating procedures designed to improve the safety of air travel, numerous aviation accidents still occur every year. According to a recent report by the FAA's Aviation Weather ...

  16. Numerical weather forecasting at the Savannah River Site

    SciTech Connect (OSTI)

    Buckley, R.L. [Westinghouse Savannah River Site, Aiken, SC (United States)

    1998-12-31

    Weather forecasts at the Savannah River Site (SRS) are important for applications to emergency response. The fate of accidentally released radiological materials and toxic chemicals can be determined by providing wind and turbulence input to atmospheric transport models. This operation has been routinely performed at SRS using the WIND system, a system of computer models and monitors that collects data from towers situated throughout the SRS. However, the information provided to these models is spatially homogeneous (in one or two dimensions) with an elementary forecasting capability. This paper discusses the use of an advanced three-dimensional prognostic numerical model to provide space- and time-dependent meteorological data for use in the WIND system dispersion models. The extensive meteorological data collection at SRS serves as a ground truth for further model development as well as for use in other applications. A prognostic mesoscale model, the regional atmospheric modeling system (RAMS), is used to provide these forecasts. Use of RAMS allows for incorporation of mesoscale features such as the sea breeze, which has been shown to affect local weather conditions. This paper discusses the mesoscale model and its configuration for the operational simulation, as well as an application using a dispersion model at the SRS.

  17. Numerical Weather Forecasting at the Savannah River Site

    SciTech Connect (OSTI)

    Buckley, R.L. [Westinghouse Savannah River Company, AIKEN, SC (United States)

    1998-11-01

    Weather forecasts at the Savannah River Site (SRS) are important for applications to emergency response. The fate of accidentally-released radiological materials and toxic chemicals can be determined by providing wind and turbulence input to atmospheric transport models. This operation has been routinely performed at SRS using the WIND System, a system of computer models and monitors which collect data from towers situated throughout the SRS. However, the information provided to these models is spatially homogeneous (in one or two dimensions) with an elementary forecasting capability. This paper discusses the use of an advanced three-dimensional prognostic numerical model to provide space and time-dependent meteorological data for use in the WIND System dispersion models. The extensive meteorological data collection at SRS serves as a ground truth for further model development as well as for use in other applications.

  18. Weather Forecasting Spring 2014

    E-Print Network [OSTI]

    Hennon, Christopher C.

    ATMS 350 Weather Forecasting Spring 2014 Professor : Dr. Chris Hennon Office : RRO 236C Phone : 232 of atmospheric physics and the ability to include this understanding into modern numerical weather prediction agencies, forecast tools, numerical weather prediction models, model output statistics, ensemble

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

    SciTech Connect (OSTI)

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

    2003-11-21

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

  20. 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...

  1. System implementation for US Air Force Global Theater Weather Analysis and Prediction System (GTWAPS)

    SciTech Connect (OSTI)

    Simunich, K.L.; Pinkerton, S.C.; Michalakes, J.G.; Christiansen, J.H.

    1997-03-01

    The Global Theater Weather Analysis and Prediction System (GTWAPS) is intended to provide war fighters and decision makers with timely, accurate, and tailored meteorological and oceanographic (METOC) information to enhance effective employment of battlefield forces. Of critical importance to providing METOC theater information is the generation of meteorological parameters produced by numerical prediction models and application software at the Air Force Global Weather Central (AFGWC), Offutt Air Force Base, Nebraska. Ultimately, application-derived data will be produced by the regional Joint METOC Forecast Units and by the deployed teams within a theater. The USAF Air Staff contracted with Argonne National Laboratory (ANL) for assistance in defining a hardware and software solution using off-the-shelf technology that would give the USAF the flexibility of testing various meteorological models and the ability to use the system within their daily operational constraints.

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

    E-Print Network [OSTI]

    Jamieson, Bruce

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

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

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

    Deremble, Bruno; D'Andrea, Fabio; Ghil, Michael

    2009-10-27

    In a simple, one-layer atmospheric model, we study the links between low-frequency variability and the model’s 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 ensemblemore »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.« less

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

    SciTech Connect (OSTI)

    Deremble, Bruno [Laboratoire de Meteorologie Dynamique (CNRS and IPSL), Paris (France); D'Andrea, Fabio [Laboratoire de Meteorologie Dynamique (CNRS and IPSL), Paris (France); Ghil, Michael [Univ. of California, Los Angeles, CA (United Staes). Atmospheric and Oceanic Sciences and Inst. of Geophysics and Planetary Physics

    2009-10-27

    In a simple, one-layer atmospheric model, we study the links between low-frequency variability and the model’s 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.

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

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

    Deremble, Bruno [Laboratoire de Meteorologie Dynamique (CNRS and IPSL), Paris (France); D'Andrea, Fabio [Laboratoire de Meteorologie Dynamique (CNRS and IPSL), Paris (France); Ghil, Michael [Univ. of California, Los Angeles, CA (United Staes). Atmospheric and Oceanic Sciences and Inst. of Geophysics and Planetary Physics

    2009-01-01

    In a simple, one-layer atmospheric model, we study the links between low-frequency variability and the model’s 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.

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

    E-Print Network [OSTI]

    Zhou, Shujia

    2009-01-01

    Acceleration of Numerical Weather Prediction,” ProceedingsComputer Systems for Climate and Weather Models Shujia Zhouprocesses in climate and weather models demands a continual

  7. Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction

    SciTech Connect (OSTI)

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

    2004-05-06

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

  8. Quadratic hedging of weather and catastrophe risk by using short term climate predictions

    E-Print Network [OSTI]

    Imkeller, Peter

    Quadratic hedging of weather and catastrophe risk by using short term climate predictions Stefan 10099 Berlin Germany February 12, 2008 Abstract The extent to which catastrophic weather events occur into account in any reasonable management of weather related risk. In this paper we first set up a risk model

  9. Numerical Weather Forecasting at the Savannah River Site

    SciTech Connect (OSTI)

    Buckley, R.L. [Westinghouse Savannah River Company, AIKEN, SC (United States)

    1998-08-01

    This paper discusses the use of an advanced three-dimensional prognostic numerical model to provide space and time-dependent meteorological data for use in the WIND System dispersion models.

  10. A New Scheme for Predicting Fair-Weather Cumulus

    SciTech Connect (OSTI)

    Berg, Larry K.; Stull, Roland B.

    2007-04-01

    A new parameterization for boundary layer cumulus clouds, called the cumulus potential (CuP) scheme, is introduced. Unlike many other parameterizations, the CuP scheme explicitly links the fair-weather clouds to the boundary-layer turbulence and accounts for the non-local nature of the turbulence. This scheme uses joint probability density functions (JPDFs) of virtual potential temperature and water-vapor mixing ratio, as well as the mean vertical profiles of virtual potential temperature, to predict the amount and size distribution of boundary layer cloud cover. This model considers the diversity of air parcels over a heterogeneous surface, and recognizes that some parcels rise above their lifting condensation level to become cumulus, while other parcels might rise as clear updrafts. This model has several unique features: 1) surface heterogeneity and boundary-layer turbulence is represented using the boundary layer JPDF of virtual potential temperature versus water-vapor mixing ratio, 2) clear and cloudy thermals are allowed to coexist at the same altitude, and 3) a range of cloud-base heights, cloud-top heights, and cloud thicknesses are predicted within any one cloud field, as observed. Using data from Boundary Layer Experiment 1996 and a model intercomparsion study using large eddy simulation (LES) based on the Barbados Oceanographic and Meteorological Experiment (BOMEX), the CuP scheme is compared to three other cumulus parameterizations: one based on relative humidity, a statistical scheme based on the saturation deficit, and a slab model. It is shown that the CuP model does a better job predicting the cloud-base height and the cloud-top height than three other parameterizations. The model also shows promise in predicting cloud cover, and is found to give better cloud-cover estimates than the three other cumulus parameterizations. In ongoing work supported by the US Department of Energy¹s Atmospheric Radiation Measurement Program, the CuP scheme is being implemented in the Weather Research and Forecasting (WRF) model, in which it replaces the ad-hoc trigger function in an existing cumulus parameterization.

  11. Numerical Weather Forecasting at the Savannah River Site

    SciTech Connect (OSTI)

    Buckley, R.L.

    1999-01-26

    Facilities such as the Savannah River Site (SRS), which contain the potential for hazardous atmospheric releases, rely on the predictive capabilities of dispersion models to assess possible emergency response actions. The operational design in relation to domain size and forecast time is presented, along with verification of model results over extended time periods with archived surface observations.

  12. Atmospheric test models and numerical experiments for the simulation of the global distribution of weather data transponders

    SciTech Connect (OSTI)

    Grossman, A; Molenkamp, C R

    1999-08-25

    A proposal has been made to establish a high density global network of atmospheric micro transponders to record time, temperature, and wind data with time resolution of {le} 1 minute, temperature accuracy of {+-} 1 K, spatial resolution no poorer than {approx}3km horizontally and {approx}0.1km vertically, and 2-D speed accuracy of {le} 1m/s. This data will be used in conjunction with advanced numerical weather prediction models to provide increases in the reliability of long range weather forecasts. Major advances in data collection technology will be required to provide the proposed high-resolution data collection network. Systems studies must be undertaken to determine insertion requirements, spacing, and evolution of the transponder ensemble, which will be used to collect the data. Numerical models which provide realistic global weather pattern simulations must be utilized in order to perform these studies. A global circulation model with a 3{sup o} horizontal resolution has been used for initial simulations of the generation and evolution of transponder distributions. These studies indicate that reasonable global coverage of transponders can be achieved by a launch scenario consisting of the sequential launch of transponders at specified heights from a globally distributed set of launch sites.

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

    E-Print Network [OSTI]

    Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

    2011-01-01

    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.

  14. Direct Numerical Simulations and Robust Predictions of Cloud...

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

    cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse PI Name:...

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

    E-Print Network [OSTI]

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

    2014-05-11

    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.

  16. Monthly Weather Review EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Monthly Weather Review EARLY ONLINE RELEASE This is a preliminary PDF of the author into numerical weather4 prediction models can improve precipitation forecasts and extend prediction capabilities5 that assimilates precipitation-affected microwave radiances into the7 Weather Research and Forecasting (WRF) model

  17. ASSESSING THE UNCERTAINTY OF WIND POWER PREDICTIONS WITH REGARD TO SPECIFIC WEATHER SITUATIONS

    E-Print Network [OSTI]

    Heinemann, Detlev

    The growing share of wind energy in electrical grids de- mands new strategies to improve the integrationASSESSING THE UNCERTAINTY OF WIND POWER PREDICTIONS WITH REGARD TO SPECIFIC WEATHER SITUATIONS.lange@mail.uni-oldenburg.de, www.physik.uni-oldenburg.de/ehf The uncertainty of a short term wind power prediction is commonly

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos and Videos/01/2012 Page| National NuclearWeather

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

    E-Print Network [OSTI]

    Nicoud, Franck

    Prediction of Thermoacoustic Instabilities: Numerical Study of Mach number Effects. K. Wieczorek equations. I. Introduction In the calculation of thermoacoustic instabilities, an assumption lead to significant changes in the evaluation of the thermo-acoustic modes present in the combustion

  20. Where do Weather Forecasts and Climate Predictions Come From?

    E-Print Network [OSTI]

    Anderson, Charles W.

    on some aspect of the atmosphere. One sub-model is the solar flux model. Observations Prediction #12;3 The Solar Flux Model Public1.f Solar Flux Model The Public1.f Solar Flux Model is a Fortran program How do we get cloud properties from the spectrum BUT Cloud Observations #12;5 Inverting the Solar Flux

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

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    ) and of real radar data by Dowell et al. (2003). All three studies used the same anelastic cloud model of Sun

  2. Practical and Intrinsic Predictability of Severe and Convective Weather at the Mesoscales

    E-Print Network [OSTI]

    Practical and Intrinsic Predictability of Severe and Convective Weather at the Mesoscales at the mesoscales using convection-permitting ensemble simulations of a squall line and bow echo event during the Bow Echo and Mesoscale Convective Vortex (MCV) Experiment (BAMEX) on 9­10 June 2003. Although most

  3. Optimizing Computations in Weather and Climate Prediction Models* F. BAER, BANGLIN ZHANG, AND BING ZHANG

    E-Print Network [OSTI]

    Baer, Ferdinand

    Optimizing Computations in Weather and Climate Prediction Models* F. BAER, BANGLIN ZHANG, AND BING scenarios for many time scales, more computer power than is currently available will be needed. One and sometimes with a biosphere included, are very complex and require so much computing power on available

  4. A probabilistic approach to the prediction of area weather events, applied to precipitation

    E-Print Network [OSTI]

    Schmidt, Volker

    A probabilistic approach to the prediction of area weather events, applied to precipitation Bjoern in the context of estimating the probability of the meteorological event `occurrence of precipitation'. We treat roughly be interpreted as precipitation cells. The germ-grain model is completely characterized

  5. Combining Weather Data for a Dataset Sufficient for Generating High-Resolution Weather Prediction Models

    SciTech Connect (OSTI)

    Fox, Jared B.; Ghan, Steven J.

    2004-03-01

    Assessments of the effects of climate change typically require information at scales of 10 km or less. In regions with complex terrain, much of the spatial variability in climate (temperature, precipitation, and snow water) occurs on scales below 10 km. Since the typical global climate model simulations grid size is more than 200 km, it is necessary to develop models with much higher resolution. Unfortunately, no datasets currently produced are both highly accurate and provide data at a sufficiently high resolution. As a result, current global climate models are forced to ignore the important climate variations that occur below the 200 km scale. This predicament prompted the creation of a global hybrid dataset with information for precipitation, temperature, and relative humidity. The resulting dataset illustrated the importance of having high-resolution datasets and gives clear proof that regions with complex terrain require a fine resolution grid to give an accurate represent at ion of their climatology. For example, the Andes Mountains in Chile cause a temperature shift of more than 25C within the same area as a single 2.5 grid cell from the NCEP dataset. Fortunately the CRU, U.D., GPCP, and NCEP datasets, when hybridized, are able to provide both precision and satisfactory resolution with global coverage. This composite will enable the development of both high-resolution models and quality empirical downscaling methods--both of which are necessary for scientists to more accurately predict the effects of global climate change. Without accurate long-term forecasts, climatologists and policy makers will not have the tools they need to effectively reduce the negative effects human activity have on the earth.

  6. Secular Changes in Solar Magnetic Flux Amplification Factor and Prediction of Space Weather

    E-Print Network [OSTI]

    T. E. Girish; G. Gopkumar

    2010-11-21

    We could infer a secular decreasing trend in the poloidal to toroidal solar magnetic flux amplification factor ( Af) using geomagnetic observations ( classic and IHV corrected aa indices) during the sunspot cycles 9-23. A similar decreasing trend is also observed for the solar equatorial rotation (W) which imply possibly a decrease in the efficiency of the solar dynamo during the above period. We could show correlated changes of Af and extreme space weather activity variations near earth since the middle of the 19th century. Indirect solar observations ( solar proton fluence estimates) suggests that the distinct enhancements in extreme space weather activity , Af and W found during sunspot cycles 10 to 15 is probably largest of that kind during the past 400 years. We find that the sunspot activity can reach an upper limit (Rsolar dynamo, space weather, predictions,cycle 24

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

    SciTech Connect (OSTI)

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

    2001-11-13

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

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

    E-Print Network [OSTI]

    Heinemann, Detlev

    In countries showing high wind energy shares in the elec- trical power supply grid, a "wind power weatherThe Quality of a 48-Hours Wind Power Forecast Using the German and Danish Weather Prediction Model Laboratory, P.O. box 49, DK-4000 Roskilde, Tel/Fax: +45 4677 5095 / 5970 Gregor.Giebel@Risoe.DK Wind power

  9. Prediction Space Weather Using an Asymmetric Cone Model for Halo CMEs

    E-Print Network [OSTI]

    G. Michalek; N. Gopalswamy; S. Yashiro

    2007-10-24

    Halo coronal mass ejections (HCMEs) are responsible of the most severe geomagnetic storms. A prediction of their geoeffectiveness and travel time to Earth's vicinity is crucial to forecast space weather. Unfortunately coronagraphic observations are subjected to projection effects and do not provide true characteristics of CMEs. Recently, Michalek (2006, {\\it Solar Phys.}, {\\bf237}, 101) developed an asymmetric cone model to obtain the space speed, width and source location of HCMEs. We applied this technique to obtain the parameters of all front-sided HCMEs observed by the SOHO/LASCO experiment during a period from the beginning of 2001 until the end of 2002 (solar cycle 23). These parameters were applied for the space weather forecast. Our study determined that the space speeds are strongly correlated with the travel times of HCMEs within Earth's vicinity and with the magnitudes related to geomagnetic disturbances.

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

    SciTech Connect (OSTI)

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

    2012-08-15

    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.

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

    E-Print Network [OSTI]

    Steinsland, Ingelin

    for precipitation based on NWP #12;Motivation, hydro power production How much water comes when? With uncertainty

  12. ESTIMATING POTENTIAL SEVERE WEATHER SOCIETAL IMPACTS USING PROBABILISTIC FORECASTS ISSUED BY THE NWS STORM PREDICTION CENTER

    E-Print Network [OSTI]

    effort to estimate potential severe weather societal impacts based on a combination of probabilistic forecasts and high resolution population data. For equal severe weather threat, events that occur over1 ESTIMATING POTENTIAL SEVERE WEATHER SOCIETAL IMPACTS USING PROBABILISTIC FORECASTS ISSUED

  13. Published in proceedings of the 15 th IMACS'97 World Congress, August 1997, Berlin, Germany, Wissenshaft & Technik Verlag, Vol. 4, pp. 571--576. The CTADEL Application Driver for Numerical Weather Forecast Systems

    E-Print Network [OSTI]

    van Engelen, Robert A.

    , Wissenshaft & Technik Verlag, Vol. 4, pp. 571--576. The CTADEL Application Driver for Numerical Weather@cs.leidenuniv.nl Keywords: code generation; high performance computing; numerical weather forecasting ABSTRACT The CTADEL numerical weather forecast system. As such, the CTADEL system can be viewed as a problem­solving environment

  14. Predicting yearly energy savings using BIN weather data with heat-pipe heat exchangers

    SciTech Connect (OSTI)

    Mathur, G.D. [Zexel USA Corp., Decatur, IL (United States)

    1997-12-31

    In an earlier paper, the author had investigated the impact that a heat pipe heat exchanger (HPHE) has on the energy consumption and the peak demand on an existing air conditioning system. A detailed performance investigation was carried out for a number of cities for year round operation of the HVAC system with HPHE. Heating degree days and cooling hours were used for predicting the energy savings with the HPHE. In order to calculate the true energy savings, a more realistic approach is to use the BIN weather data. The author has developed a simulation program that can predict the energy savings by using the BIN weather data. The investigation has been carried out for 33 US cities with widely different climactic conditions and the results are presented in this paper. Economic analysis reveals that a simple retrofit on an existing HVAC system can pay for itself in less than a year. Based on this investigation, it is recommended that electric utilities use this technology as a demand side management strategy for reducing energy and peak demand.

  15. Exploiting weather forecast data for cloud detection 

    E-Print Network [OSTI]

    Mackie, Shona

    2009-01-01

    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 Earth’s surface temperature. Most ...

  16. Interactive Weather Simulation and Visualization on a Display Wall

    E-Print Network [OSTI]

    Ha, Phuong H.

    Interactive Weather Simulation and Visualization on a Display Wall with Many-Core Compute Nodes B.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 forecasting are typically run at predetermined times at a predetermined resolution and a fixed

  17. Atmospheric Test Models and Numerical Experiments for the Simulation of the Global Distributions of Weather Data Transponders III. Horizontal Distributions

    SciTech Connect (OSTI)

    Molenkamp, C.R.; Grossman, A.

    1999-12-20

    A network of small balloon-borne transponders which gather very high resolution wind and temperature data for use by modern numerical weather predication models has been proposed to improve the reliability of long-range weather forecasts. The global distribution of an array of such transponders is simulated using LLNL's atmospheric parcel transport model (GRANTOUR) with winds supplied by two different general circulation models. An initial study used winds from CCM3 with a horizontal resolution of about 3 degrees in latitude and longitude, and a second study used winds from NOGAPS with a 0.75 degree horizontal resolution. Results from both simulations show that reasonable global coverage can be attained by releasing balloons from an appropriate set of launch sites.

  18. Edwards, Paul N. 2013. "Predicting the Weather: A Knowledge Commons for Europe and the World," in Cornelis Disco & Eda Kranakis (eds), Cosmopolitan

    E-Print Network [OSTI]

    Edwards, Paul N.

    Edwards, Paul N. 2013. "Predicting the Weather: A Knowledge Commons for Europe and the World Press: Cambridge, MA), pp. 155-184. #12;Weather affects virtually everything people do: where of temperature. Weather affects agriculture, urban planning, government, insurance, and much else. It even gets

  19. Segmenting Time Series for Weather Forecasting

    E-Print Network [OSTI]

    Reiter, Ehud

    summarisation. We found three alternative ways in which we could model data summarisation. One approach is based turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from

  20. Nonlinear Dynamics and Chaos: Applications for Prediction of Weather and Climate

    E-Print Network [OSTI]

    J. S. Pethkar; A. M. Selvam

    2001-04-19

    Turbulence, namely, irregular fluctuations in space and time characterize fluid flows in general and atmospheric flows in particular.The irregular,i.e., nonlinear space-time fluctuations on all scales contribute to the unpredictable nature of both short-term weather and long-term climate.It is of importance to quantify the total pattern of fluctuations for predictability studies. The power spectra of temporal fluctuations are broadband and exhibit inverse power law form with different slopes for different scale ranges. Inverse power-law form for power spectra implies scaling (self similarity) for the scale range over which the slope is constant. Atmospheric flows therefore exhibit multiple scaling or multifractal structure.Standard meteorological theory cannot explain satisfactorily the observed multifractal structure of atmospheric flows.Selfsimilar spatial pattern implies long-range spatial correlations. Atmospheric flows therefore exhibit long-range spatiotemporal correlations, namely,self-organized criticality,signifying order underlying apparent chaos. A recently developed non-deterministic cell dynamical system model for atmospheric flows predicts the observed self-organized criticality as intrinsic to quantumlike mechanics governing flow dynamics.The model predictions are in agreement with continuous periodogram spectral analysis of meteorological data sets.

  1. A FAST AND ACCURATE NUMERICAL SCHEME FOR THE ...

    E-Print Network [OSTI]

    1999-10-21

    [13] M. Jarraud and A. P. M. Baede, The use of spectral techniques in numerical weather prediction, in Large Scale Computations in Fluid Mechanics, B. Enquist,

  2. Prediction of Terminal-Area Weather Penetration Based on Operational Factors

    E-Print Network [OSTI]

    Lin, Yi-Hsin

    Convective weather is known to reduce airspace capacity, but the extent of the impact is not well understood. Understanding how weather affects terminal area capacity is essential for quantification of the uncertainty in ...

  3. Prediction of terminal-area weather penetration based on operational factors

    E-Print Network [OSTI]

    Lin, Yi-Hsin, S.M. Massachusetts Institute of Technology

    2013-01-01

    As demand for air transportation grows, the existing air traffic control system is being pushed to capacity. This is especially true during weather events. However, the degree to which weather impacts airspace capacity, ...

  4. Long-range weather prediction and prevention of climate catastrophes: a status report

    SciTech Connect (OSTI)

    Caldeira, K; Caravan, G; Govindasamy, B; Grossman, A; Hyde, R; Ishikawa, M; Ledebuhr, A; Leith, C; Molenkamp, C; Teller, E; Wood, L

    1999-08-18

    As the human population of Earth continues to expand and to demand an ever-higher quality-of-life, requirements for ever-greater knowledge--and then control--of the future of the state of the terrestrial biosphere grow apace. Convenience of living--and, indeed, reliability of life itself--become ever more highly ''tuned'' to the future physical condition of the biosphere being knowable and not markedly different than the present one, Two years ago, we reported at a quantitative albeit conceptual level on technical ways-and-means of forestalling large-scale changes in the present climate, employing practical means of modulating insolation and/or the Earth's mean albedo. Last year, we reported on early work aimed at developing means for creating detailed, high-fidelity, all-Earth weather forecasts of two weeks duration, exploiting recent and anticipated advances in extremely high-performance digital computing and in atmosphere-observing Earth satellites bearing high-technology instrumentation. This year, we report on recent progress in both of these areas of endeavor. Preventing the commencement of large-scale changes in the current climate presently appears to be a considerably more interesting prospect than initially realized, as modest insolation reductions are model-predicted to offset the anticipated impacts of ''global warming'' surprisingly precisely, in both space and time. Also, continued study has not revealed any fundamental difficulties in any of the means proposed for insolation modulation and, indeed, applicability of some of these techniques to other planets in the inner Solar system seems promising. Implementation of the high-fidelity, long-range weather-forecasting capability presently appears substantially easier with respect to required populations of Earth satellites and atmospheric transponders and data-processing systems, and more complicated with respect to transponder lifetimes in the actual atmosphere; overall, the enterprise seems more technically feasible than originally anticipated.

  5. Testing and improving the numerical accuracy of the NLO predictions

    E-Print Network [OSTI]

    R. Pittau

    2010-09-24

    I present a new and reliable method to test the numerical accuracy of NLO calculations based on modern OPP/Generalized Unitarity techniques. A convenient solution to rescue most of the detected numerically inaccurate points is also proposed.

  6. Numerical and analytical modeling of sanding onset prediction 

    E-Print Network [OSTI]

    Yi, Xianjie

    2004-09-30

    To provide technical support for sand control decision-making, it is necessary to predict the production condition at which sand production occurs. Sanding onset prediction involves simulating the stress state on the surface of an oil/gas producing...

  7. Simple intrinsic defects in InAs : numerical predictions.

    SciTech Connect (OSTI)

    Schultz, Peter Andrew

    2013-03-01

    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.

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

    E-Print Network [OSTI]

    Heinemann, Detlev

    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 power forecast errors for Germany are in the range of 5-6% while single wind farm forecast errors

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Kleissl, Jan

    2011-01-01

    and validation.   Solar Energy.   73:5, 307? Perez, R. , irradiance forecasts for solar energy applications based on using satellite data.   Solar Energy 67:1?3, 139?150.  

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

    2013-01-01

    of the WRF model solar irradiance forecasts in Andalusia (Beyer, H. , 2009.    Irradiance forecasting for the power dependent probabilistic irradiance  forecasts for coastal 

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

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    .g., Snyder and Zhang 2003; Dowell et al. 2004; Zhang et al. 2004; Tong and Xue 2005; Xue et al. 2005) results, research- ers have been moving towards using real data (e.g., Dowell et al. 2004; Houtekamer et

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Kleissl, Jan

    2011-01-01

    of variability for solar power plants.   While  NWP model operation of solar thermal power  plants, the management of 

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

    E-Print Network [OSTI]

    Mathiesen, Patrick James

    2013-01-01

    of Solar 2011, American Solar Energy Society, Raleigh, NC.Description and validation. Solar Energy, 73 (5), 307-317.forecast database. Solar Energy, Perez, R. , S. Kivalov, J.

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

    E-Print Network [OSTI]

    Ganguly, Auroop Ratan

    2002-01-01

    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. ...

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

    E-Print Network [OSTI]

    Surussavadee, Chinnawat

    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) ...

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Kleissl, Jan

    2011-01-01

    Downward surface solar radiation  data released at 12 UTC solar radiation:   A statistical approach using satellite data.   

  17. Numerical routines for predicting ignition in pyrotechnic devices

    SciTech Connect (OSTI)

    Pierce, K.G.

    1986-06-01

    Two numerical models of the thermal processes leading to ignition in a pyrotechnic device have been developed. These models are based on finite difference approximations to the heat diffusion equation, with temperature-dependent thermal properties, in a single spatial coordinate. The derivation of the finite difference equations is discussed and the methods employed at boundaries and interfaces are given. The sources of the thermal-properties data are identified and how these data are used is explained. The program structure is explained and example runs of the programs are given.

  18. Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks

    E-Print Network [OSTI]

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

    2009-01-01

    The official meteorological network is poor on the island of Corsica: only three sites being about 50 km apart are equipped with pyranometers which enable measurements by hourly and daily step. These sites are Ajaccio (seaside), Bastia (seaside) and Corte (average altitude of 486 meters). This lack of weather station makes difficult the predictability of PV power grid performance. This work intends to study a methodology which can predict global solar irradiation using data available from another location for daily and hourly horizon. In order to achieve this prediction, we have used Artificial Neural Network which is a popular artificial intelligence technique in the forecasting domain. A simulator has been obtained using data available for the station of Ajaccio that is the only station for which we have a lot of data: 16 years from 1972 to 1987. Then we have tested the efficiency of this simulator in two places with different geographical features: Corte, a mountainous region and Bastia, a coastal region. ...

  19. Effect of Weather on the Predicted PMN Landmine Chemical Signature for Kabul, Afghanistan

    SciTech Connect (OSTI)

    WEBB, STEPHEN W.; PHELAN, JAMES M.

    2002-11-01

    Buried landmines are often detected through the chemical signature in the air above the soil surface by mine detection dogs. Environmental processes play a significant role in the chemical signature available for detection. Due to the shallow burial depth of landmines, the weather influences the release of chemicals from the landmine, transport through the soil to the surface, and degradation processes in the soil. The effect of weather on the landmine chemical signature from a PMN landmine was evaluated with the T2TNT code for Kabul, Afghanistan. Results for TNT and DNT gas-phase and soil solid-phase concentrations are presented as a function of time of the day and time of the year.

  20. NUMERICAL PREDICTION OF FAULTING AND FRACTURING IN THE AHNET BASIN, ALGERIA

    E-Print Network [OSTI]

    Beekman, Fred

    1 NUMERICAL PREDICTION OF FAULTING AND FRACTURING IN THE AHNET BASIN, ALGERIA Fred Beekman1 and natural fractures strongly depends on the material properties and on the structural position inside models predict rock fracturing to be initiated at shallow depths at the crest of the anticline, and under

  1. Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks

    E-Print Network [OSTI]

    Voyant, Cyril; Paoli, Christophe; Nivet, Marie Laure; Poggi, Philippe; Haurant, P; 10.4229/24thEUPVSEC2009-5BV.2.35

    2010-01-01

    The official meteorological network is poor on the island of Corsica: only three sites being about 50 km apart are equipped with pyranometers which enable measurements by hourly and daily step. These sites are Ajaccio (41\\degree 55'N and 8\\degree 48'E, seaside), Bastia (42\\degree 33'N, 9\\degree 29'E, seaside) and Corte (42\\degree 30'N, 9\\degree 15'E average altitude of 486 meters). This lack of weather station makes difficult the predictability of PV power grid performance. This work intends to study a methodology which can predict global solar irradiation using data available from another location for daily and hourly horizon. In order to achieve this prediction, we have used Artificial Neural Network which is a popular artificial intelligence technique in the forecasting domain. A simulator has been obtained using data available for the station of Ajaccio that is the only station for which we have a lot of data: 16 years from 1972 to 1987. Then we have tested the efficiency of this simulator in two places w...

  2. Weather Data Gamification 

    E-Print Network [OSTI]

    Gargate, Rohit

    2013-07-25

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

  3. Space Weather Forecasting Identifying periodic block-structured models to predict

    E-Print Network [OSTI]

    lines, which can overwhelm and destroy transform- ers and electrical networks [2]. Figure 7 shows damage in the ionosphere. To predict these large ejections of magnetic and plasma energy, satellites monitor the solar past the Earth and the other planets in the form of the solar wind. The Sun's magnetic field, which

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

    E-Print Network [OSTI]

    Intercomparison of Single-Column Numerical Models for the Prediction of Radiation Fog THIERRY-term forecasting of fog is a difficult issue that can have a large societal impact. Radiation fog appears layers of the atmosphere. Current NWP models poorly forecast the life cycle of fog, and improved NWP

  5. Evaluation of the Weather Research and Forecasting Model on

    E-Print Network [OSTI]

    Basu, Sukanta

    are thus needed for precise assessment of wind resources, reliable prediction of power generation and robust design of wind turbines. However, mesoscale numerical weather prediction models face a chal- lenge: Implications for Wind Energy Brandon Storm*, Wind Science and Engineering Research Center, Texas Tech

  6. A numerical method for predicting the bending fatigue life of NiTi and stainless steel root canal

    E-Print Network [OSTI]

    Zheng, Yufeng

    A numerical method for predicting the bending fatigue life of NiTi and stainless steel root canal. A numerical method for predicting the bending fatigue life of NiTi and stainless steel root canal instruments­titanium alloy (NiTi) and stainless steel (SS) endodontic files using finite element analysis. Methodology

  7. The Effect of Element Formulation on the Prediction of Boost Effects in Numerical Tube Bending

    SciTech Connect (OSTI)

    Bardelcik, A.; Worswick, M.J.

    2005-08-05

    This paper presents advanced FE models of the pre-bending process to investigate the effect of element formulation on the prediction of boost effects in tube bending. Tube bending experiments are conducted with 3'' (OD) IF (Interstitial-Free) steel tube on a fully instrumented Eagle EPT-75 servo-hydraulic mandrel-rotary draw tube bender. Experiments were performed in which the bending boost was varied at three levels and resulted in consistent trends in the strain and thickness distribution within the pre-bent tubes. A numerical model of the rotary draw tube bender was used to simulate pre-bending of the IF tube with the three levels of boost from the experiments. To examine the effect of element formulation on the prediction of boost, the tube was modeled with shell and solid elements. Both models predicted the overall strain and thickness results well, but showed different trends in each of the models.

  8. Severe Weather on the Web: Computer Lab for WEST Severe Weather Module

    E-Print Network [OSTI]

    Jiang, Haiyan

    Severe Weather on the Web: Computer Lab for WEST Severe Weather Module Summary: Students Weather Service-- National Weather Hazards Website: http://www.weather.gov/view/largemap.php --This termforecasts in the lower 48 USstates. Definitions Forecast--The prediction of what the weather

  9. Near-fault earthquake ground motion prediction by a high-performance spectral element numerical code

    SciTech Connect (OSTI)

    Paolucci, Roberto [Department of Structural Engineering, Politecnico di Milano P.za Leonardo da Vinci 32, 20133, Milano (Italy); Stupazzini, Marco [Department of Structural Engineering, Politecnico di Milano P.za Leonardo da Vinci 32, 20133, Milano (Italy); EUCENTRE, v. Ferrata 1, Pavia (Italy)

    2008-07-08

    Near-fault effects have been widely recognised to produce specific features of earthquake ground motion, that cannot be reliably predicted by 1D seismic wave propagation modelling, used as a standard in engineering applications. These features may have a relevant impact on the structural response, especially in the nonlinear range, that is hard to predict and to be put in a design format, due to the scarcity of significant earthquake records and of reliable numerical simulations. In this contribution a pilot study is presented for the evaluation of seismic ground-motions in the near-fault region, based on a high-performance numerical code for 3D seismic wave propagation analyses, including the seismic fault, the wave propagation path and the near-surface geological or topographical irregularity. For this purpose, the software package GeoELSE is adopted, based on the spectral element method. The set-up of the numerical benchmark of 3D ground motion simulation in the valley of Grenoble (French Alps) is chosen to study the effect of the complex interaction between basin geometry and radiation mechanism on the variability of earthquake ground motion.

  10. Numerical prediction of the thermodynamic properties of ternary Al-Ni-Hf alloys

    SciTech Connect (OSTI)

    Romanowska, Jolanta; Kotowski, S?awomir; Zagula-Yavorska, Maryana

    2014-10-06

    Thermodynamic properties of ternary Al-Hf-Ni system, such as {sup ex}G, ?{sub Al}, ?{sub Ni} and ?{sub Zr} at 1373K were predicted on the basis of thermodynamic properties of binary systems included in the investigated ternary system. The idea of predicting {sup ex}G values was regarded as the calculation of excess Gibbs energy values inside a certain area (a Gibbs triangle) unless all boundary conditions, that is values of {sup ex}G on all legs of the triangle are known. {sup ex}G and L{sub ijk} ternary interaction parameters in the Muggianu extension of the Redlich-Kister formalism are calculated numerically using Wolfram Mathematica 9 software.

  11. Chaotic advection at large Péclet number: Electromagnetically driven experiments, numerical simulations, and theoretical predictions

    SciTech Connect (OSTI)

    Figueroa, Aldo [Facultad de Ciencias, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos 62209 (Mexico)] [Facultad de Ciencias, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos 62209 (Mexico); Meunier, Patrice; Villermaux, Emmanuel [Aix-Marseille Univ., CNRS, Centrale Marseille, IRPHE, Marseille F-13384 (France)] [Aix-Marseille Univ., CNRS, Centrale Marseille, IRPHE, Marseille F-13384 (France); Cuevas, Sergio; Ramos, Eduardo [Instituto de Energías Renovables, Universidad Nacional Autónoma de México, A.P. 34, Temixco, Morelos 62580 (Mexico)] [Instituto de Energías Renovables, Universidad Nacional Autónoma de México, A.P. 34, Temixco, Morelos 62580 (Mexico)

    2014-01-15

    We present a combination of experiment, theory, and modelling on laminar mixing at large Péclet number. The flow is produced by oscillating electromagnetic forces in a thin electrolytic fluid layer, leading to oscillating dipoles, quadrupoles, octopoles, and disordered flows. The numerical simulations are based on the Diffusive Strip Method (DSM) which was recently introduced (P. Meunier and E. Villermaux, “The diffusive strip method for scalar mixing in two-dimensions,” J. Fluid Mech. 662, 134–172 (2010)) to solve the advection-diffusion problem by combining Lagrangian techniques and theoretical modelling of the diffusion. Numerical simulations obtained with the DSM are in reasonable agreement with quantitative dye visualization experiments of the scalar fields. A theoretical model based on log-normal Probability Density Functions (PDFs) of stretching factors, characteristic of homogeneous turbulence in the Batchelor regime, allows to predict the PDFs of scalar in agreement with numerical and experimental results. This model also indicates that the PDFs of scalar are asymptotically close to log-normal at late stages, except for the large concentration levels which correspond to low stretching factors.

  12. Mesoscale predictability and background error convariance estimation through ensemble forecasting 

    E-Print Network [OSTI]

    Ham, Joy L

    2002-01-01

    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 ...

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolarNewsusceptometer under pressureNavyNumerical simulations of current

  14. On-line economic optimization of energy systems using weather forecast information.

    SciTech Connect (OSTI)

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

    2009-01-01

    We establish an on-line optimization framework to exploit weather forecast information in the operation of energy systems. We argue that anticipating the weather conditions can lead to more proactive and cost-effective operations. The framework is based on the solution of a stochastic dynamic real-time optimization (D-RTO) problem incorporating forecasts generated from a state-of-the-art weather prediction model. The necessary uncertainty information is extracted from the weather model using an ensemble approach. The accuracy of the forecast trends and uncertainty bounds are validated using real meteorological data. We present a numerical simulation study in a building system to demonstrate the developments.

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

    SciTech Connect (OSTI)

    Schultz, Peter Andrew

    2013-10-01

    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.

  16. Towards Ultra-High Resolution Models of Climate and Weather

    E-Print Network [OSTI]

    Wehner, Michael; Oliker, Leonid; Shalf, John

    2008-01-01

    Models of Climate and Weather Michael Wehner, Leonid Oliker,modeling climate change and weather prediction is one of thedelity in both short term weather prediction and long term

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

    SciTech Connect (OSTI)

    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.

    2011-11-01

    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.

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

    SciTech Connect (OSTI)

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

    2010-01-01

    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.

  19. Scatterometer-Based Assessment of 10-m Wind Analyses from the Operational ECMWF and NCEP Numerical Weather Prediction Models

    E-Print Network [OSTI]

    Kurapov, Alexander

    .75 and 1.5 m s 1 for the along-wind and crosswind components, respectively. The NSCAT and QuikSCAT datasets

  20. The Santa Ana Winds of Southern California in the context of Fire Weather

    E-Print Network [OSTI]

    Cao, Yang

    2015-01-01

    LFP w (red line) is the weather component of the total LFP (Prediction Systems, Monthly Weather Review, 133, 1076–1097,Administration, National Weather Service Scientific Services

  1. Choosing Words in Computer-Generated Weather Forecasts

    E-Print Network [OSTI]

    Reiter, Ehud

    to communicate numeric weather data. A corpus-based analysis of how humans write forecasts showed that there wereTime- Mousam weather-forecast generator to use consistent data-to-word rules, which avoided words which were weather forecast texts from numerical weather pre- diction data (SumTime-Mousam in fact is used

  2. 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.

  3. Predicting yearly energy savings using BIN weather data with heat-pipe heat exchangers with indirect evaporative cooling

    SciTech Connect (OSTI)

    Mathur, G.D.

    1998-07-01

    Heat-Pipe Heat-Exchangers (HPHE) are passive systems that have recently seen application in energy recovery (Mathur, 1997). A HPHE consists of individual closed end heat pipe tubes that are charged with a suitable working fluid. In these systems, the working fluid evaporates on one side of the heat exchanger and condenses over the other end of the heat exchanger. The condensed fluid returns back to the evaporator section through the capillary action of the wick. The performance of a HPHE system can be improved by the raising the condenser portion of the heat exchanger which facilitates effective return of the condensate back to the evaporator. HPHE can be used with air conditioning systems as retrofits and in new applications. For retrofit applications, the operating costs are reduced because of the reduction in the energy (kWh) and peak demand (kW) consumptions. For new installations, the heating and cooling equipment can be of smaller capacity which will result in lower equipment and operating costs. During the summer season, indirect evaporative cooling can also be used to further enhance the performance of the air conditioning system. When operated during both the heating and cooling seasons, a HPHE yields four types of savings: (i) Heating equipment savings (ii) Cooling equipment savings (iii) Heating operating savings (iv) Cooling operating savings. Savings in the energy consumption for both heating and cooling were calculated with the HPHE for 30 cities with widely different climactic conditions. The payback periods for most of the cities were less than 1 year. If indirect evaporative cooling is used during the summer season, more energy savings would be realized on an yearly basis along with further reductions in the peak demand. In this paper, the author has simulated the performance of a HPHE with indirect evaporative cooling using the BIN weather data.

  4. Weatherization Roundup

    Broader source: Energy.gov [DOE]

    More than 750 thousand homes were weatherized by the Department’s 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.

  5. Investigation of the effect of chemistry models on the numerical predictions of the supersonic combustion of hydrogen

    SciTech Connect (OSTI)

    Kumaran, K.; Babu, V.

    2009-04-15

    In this numerical study, the influence of chemistry models on the predictions of supersonic combustion in a model combustor is investigated. To this end, 3D, compressible, turbulent, reacting flow calculations with a detailed chemistry model (with 37 reactions and 9 species) and the Spalart-Allmaras turbulence model have been carried out. These results are compared with earlier results obtained using single step chemistry. Hydrogen is used as the fuel and three fuel injection schemes, namely, strut, staged (i.e., strut and wall) and wall injection, are considered to evaluate the impact of the chemistry models on the flow field predictions. Predictions of the mass fractions of major species, minor species, dimensionless stagnation temperature, dimensionless static pressure rise and thrust percentage along the combustor length are presented and discussed. Overall performance metrics such as mixing efficiency and combustion efficiency are used to draw inferences on the nature (whether mixing- or kinetic-controlled) and the completeness of the combustion process. The predicted values of the dimensionless wall static pressure are compared with experimental data reported in the literature. The calculations show that multi step chemistry predicts higher and more wide spread heat release than what is predicted by single step chemistry. In addition, it is also shown that multi step chemistry predicts intricate details of the combustion process such as the ignition distance and induction distance. (author)

  6. Value of global weather sensors

    SciTech Connect (OSTI)

    Canavan, G.H.

    1998-12-23

    Long-range weather predictions have great scientific and economic potential, but require precise global observations. Small balloon transponders could serve as lagrangian trace particles to measure the vector wind, which is the primary input to long-range numerical forecasts. The wind field is difficult to measure; it is at present poorly sampled globally. Distance measuring equipment (DME) triangulation of signals from roughly a million transponders could sample it with sufficient accuracy to support {approximately} two week forecasts. Such forecasts would have great scientific and economic potential which is estimated below. DME uses small, low-power transmitters on each transponder to broadcast short, low-power messages that are detected by several small receivers and forwarded to the ground station for processing of position, velocity, and state information. Thus, the transponder is little more than a balloon with a small radio, which should only weigh a few grams and cost a few dollars.

  7. Recent forecasts from the National Weather Service and other Hurricane watchers predict an active Hurricane Season for the U.S. Connecticut has been severely affected many times by Hurricanes. Individuals, businesses and communities can take some basic st

    E-Print Network [OSTI]

    Post, David M.

    Recent forecasts from the National Weather Service and other Hurricane watchers predict an active Hurricane Season for the U.S. Connecticut has been severely affected many times by Hurricanes. Individuals, businesses and communities can take some basic steps to be better informed about and prepared for Hurricanes

  8. Weatherizing America

    ScienceCinema (OSTI)

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

    2013-05-29

    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.

  9. 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...

  10. Asymptotic and Numerical Predictions of Oblique Detonations with Simple Finite-Rate Chemistry1

    E-Print Network [OSTI]

    Joseph M. Powers2 Matthew J. Grismer3 Department of Aerospace and Mechanical Engineering University in Propulsion NASA Lewis Research Center, Cleveland, Ohio 44135 Prediction of the high-speed non of its applicability to the oblique detonation wave engine [1] and the ram accelerator [2], a ramjet

  11. NOAA's National Weather Service (NWS) Emergency Alert System

    E-Print Network [OSTI]

    NOAA's National Weather Service (NWS) and the Emergency Alert System · The Federal Communications Commission (FCC) manages the Emergency Alert Syste (EAS) and has defined numerous weather and non-weather EAS broadcasters. · NOAA's National Weather Service generates about 90 percent of EAS activations, primarily

  12. Experimental Observations and Numerical Prediction of Induction Heating in a Graphite Test Article

    SciTech Connect (OSTI)

    Jankowski, Todd A [Los Alamos National Laboratory; Johnson, Debra P [Los Alamos National Laboratory; Jurney, James D [Los Alamos National Laboratory; Freer, Jerry E [Los Alamos National Laboratory; Dougherty, Lisa M [Los Alamos National Laboratory; Stout, Stephen A [Los Alamos National Laboratory

    2009-01-01

    The induction heating coils used in the plutonium casting furnaces at the Los Alamos National Laboratory are studied here. A cylindrical graphite test article has been built, instrumented with thermocouples, and heated in the induction coil that is normally used to preheat the molds during casting operations. Preliminary results of experiments aimed at understanding the induction heating process in the mold portion of the furnaces are reported. The experiments have been modeled in COMSOL Multiphysics and the numerical and experimental results are compared to one another. These comparisons provide insight into the heating process and provide a benchmark for COMSOL calculations of induction heating in the mold portion of the plutonium casting furnaces.

  13. Large-Scale Errors and Mesoscale Predictability in Pacific Northwest Snowstorms DALE R. DURRAN

    E-Print Network [OSTI]

    Large-Scale Errors and Mesoscale Predictability in Pacific Northwest Snowstorms DALE R. DURRAN The development of mesoscale numerical weather prediction (NWP) models over the last two decades has made- search communities. Nevertheless, the predictability of the mesoscale features captured in such forecasts

  14. Conception, numerical prediction and optimization of geomechanical measurements related to a vertical Mine-by-Test at the Meuse/Haute-

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Conception, numerical prediction and optimization of geomechanical measurements related geomechanical data based on under-excavation numerical technique in order to estimate pre-existing field tensor related to a quite large volume of rock based on generalized inversion of geomechanical

  15. Stochastic Parameterization: Towards a new view of Weather and Climate Models

    E-Print Network [OSTI]

    Berner, Judith; Batte, Lauriane; De La Camara, Alvaro; Crommelin, Daan; Christensen, Hannah; Colangeli, Matteo; Dolaptchiev, Stamen; Franzke, Christian L E; Friederichs, Petra; Imkeller, Peter; Jarvinen, Heikki; Juricke, Stephan; Kitsios, Vassili; Lott, Franois; Lucarini, Valerio; Mahajan, Salil; Palmer, Timothy N; Penland, Cecile; Von Storch, Jin-Song; Sakradzija, Mirjana; Weniger, Michael; Weisheimer, Antje; Williams, Paul D; Yano, Jun-Ichi

    2015-01-01

    The last decade has seen the success of stochastic parameterizations in short-term, medium-range and seasonal ensembles: operational weather centers now routinely use stochastic parameterization schemes to better represent model inadequacy and improve the quantification of forecast uncertainty. Developed initially for numerical weather prediction, the inclusion of stochastic parameterizations not only provides more skillful estimates of uncertainty, but is also extremely promising for reducing longstanding climate biases and relevant for determining the climate response to forcings such as e.g., an increase of CO2. This article highlights recent results from different research groups which show that the stochastic representation of unresolved processes in the atmosphere, oceans, land surface and cryosphere of comprehensive weather and climate models a) gives rise to more reliable probabilistic forecasts of weather and climate and b) reduces systematic model bias. We make a case that the use of mathematically ...

  16. Social Media: Space Weather #SpaceWeather

    E-Print Network [OSTI]

    ://www.swpc.noaa.gov/impacts/spaceweatherandgpssystems #SpaceWeather #12;Space Weather Impacts on the Power Grid Facebook The electric power grid. To learn about space weather and impacts to the electric grid visit http on the Power Grid Space Weather and the Aurora Borealis What are Solar Flares? What are Coronal Mass

  17. PV powering a weather station for severe weather

    SciTech Connect (OSTI)

    Young, W. Jr. [Florida Solar Energy Center, Cocoa, FL (United States); Schmidt, J. [Joe Schmidt, Inc., Miami, FL (United States)

    1997-12-31

    A natural disaster, such as Hurricane Andrew, destroys thousands of homes and businesses. The destruction from this storm left thousands of people without communications, potable water, and electrical power. This prompted the Florida Solar Energy Center to study the application of solar electric power for use in disasters. During this same period, volunteers at the Tropical Prediction Center at the National Hurricane Center (NHC), Miami, Florida and the Miami Office of the National Weather Service (NWS) were working to increase the quantity and quality of observations received from home weather stations. Forecasters at NHC have found surface reports from home weather stations a valuable tool in determining the size, strength and course of hurricanes. Home weather stations appear able to record the required information with an adequate level of accuracy. Amateur radio, utilizing the Automatic Packet Report System, (APRS) can be used to transmit this data to weather service offices in virtually real time. Many weather data collecting stations are at remote sites which are not readily serviced by dependable commercial power. Photovoltaic (solar electric) modules generate electricity and when connected to a battery can operate as a stand alone power system. The integration of these components provides an inexpensive standalone system. The system is easy to install, operates automatically and has good communication capabilities. This paper discusses the design criteria, operation, construction and deployment of a prototype solar powered weather station.

  18. Atmospheric Test Models and Numerical Experiments for the Simulation of the Global Distribution of Weather Data Transponders II. Vertical Transponder Motion Considerations

    SciTech Connect (OSTI)

    Grossman, A.; Errico, R.M.

    1999-11-29

    The vertical motion of constant density atmospheric balloons has been considered via an equation of motion for the vertical displacement of a balloon, due to vertical air motion, which can be numerically solved for balloon positions. Initial calculations are made for a constant density atmosphere. Various vertical wind models with relatively large amplitudes are applied to the model to determine how tightly the balloons are coupled to the reference level and the time scale for the balloons to change to the wind driven reference altitude. A surface launch of a balloon to a 6 km reference altitude is modeled using a detailed atmospheric pressure-density-temperature profile in the equation of motion. The results show the balloons to be relatively tightly coupled ({approx} 50-100 m) to the reference altitude.

  19. Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output Perturbation

    E-Print Network [OSTI]

    Raftery, Adrian

    Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output. This is typically not feasible for mesoscale weather prediction carried out locally by organizations without by simulating realizations of the geostatistical model. The method is applied to 48-hour mesoscale forecasts

  20. Building a Weather-Ready Nation Winter Weather Safety

    E-Print Network [OSTI]

    Building a Weather-Ready Nation Winter Weather Safety NOAA/NWS Winter Weather Safety Seasonal Campaign www.weather.gov #12;Building a Weather-Ready Nation Winter Weather Hazards Winter Weather Safety www.weather.gov · Snow/Ice · Blizzards · Flooding · Cold Temperatures #12;Building a Weather

  1. A Fourier series model to predict hourly heating and cooling energy use in commercial buildings with outdoor temperature as the only weather variable

    SciTech Connect (OSTI)

    Dhar, A. [Enron Corp., Houston, TX (United States); Reddy, T.A. [Drexel Univ., Philadelphia, PA (United States). Civil and Architectural Engineering Dept.; Claridge, D.E. [Texas A and M Univ., College Station, TX (United States). Energy Systems Lab.

    1999-02-01

    Accurate modeling of hourly heating and cooling energy use in commercial buildings can be achieved by a Generalized Fourier Series (GFS) approach involving weather variables such as dry-bulb temperature, specific humidity and horizontal solar flux. However, there are situations when only temperature data is available. The objective of this paper is to (i) describe development of a variant of the GFS approach which allows modeling both heating and cooling hourly energy use in commercial buildings with outdoor temperature as the only weather variable and (ii) illustrate its application with monitored hourly data from several buildings in Texas. It is found that the new Temperature based Fourier Series (TFS) approach (1) provides better approximation to heating energy use than the existing GFS approach, (ii) can indirectly account for humidity and solar effects in the cooling energy use, (iii) offers physical insight into the operating pattern of a building HVAC system and (iv) can be used for diagnostic purposes.

  2. Elastic contact between self-affine surfaces: Comparison of numerical stress and contact correlation functions with analytic predictions

    E-Print Network [OSTI]

    Mueser, Martin

    or numerically at a moderate amount of computing effort. While solving numerically the full elastic or plastoElastic contact between self-affine surfaces: Comparison of numerical stress and contact Department of Applied Mathematics, University of Western Ontario, London, ON, Canada N6A 5B7 and 3 Department

  3. Improved Site-Specific Numerical Prediction of Fog and Low Clouds: A Feasibility THIERRY BERGOT, DOMINIQUE CARRER,* JOL NOILHAN, AND PHILIPPE BOUGEAULT

    E-Print Network [OSTI]

    Improved Site-Specific Numerical Prediction of Fog and Low Clouds: A Feasibility Study THIERRY also demonstrates that the use of a 1D model to forecast fogs and low clouds could only be beneficial when fog and/or low clouds are detected, and in the third step the soil profiles are estimated in order

  4. 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.

  5. Cathy Zoi on Weatherization

    ScienceCinema (OSTI)

    Zoi, Cath

    2013-05-29

    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.

  6. Weather Photos - Hanford Site

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

    weather Mammatus clouds Mammatus clouds Mammatus Clouds Mammatus Clouds Mammatus clouds Mammatus clouds Downburst Downburst...

  7. Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD

    E-Print Network [OSTI]

    Plale, Beth

    "mesoscale" weather events. In this paper we discuss an architectural framework that is forming our thinking "mesoscale" weather events. This is accomplished by middleware that facilitates adaptive uti- lization. The meteorology goal of the project is improved prediction of mesoscale weather phenomena; that is, regional scale

  8. A Deep Hybrid Model for Weather Forecasting Aditya Grover

    E-Print Network [OSTI]

    Horvitz, Eric

    @microsoft.com ABSTRACT Weather forecasting is a canonical predictive challenge that has depended primarily on model-based methods. We ex- plore new directions with forecasting weather as a data- intensive challenge that involves the joint statistics of a set of weather-related vari- ables. We show how the base model can be enhanced

  9. Building a Weather-Ready Nation Fall Weather Safety

    E-Print Network [OSTI]

    Building a Weather-Ready Nation Fall Weather Safety www.weather.gov/safety Wildfire ­ Drought ­ Hurricanes ­ Wind ­ Early Season Winter ­ Flood #12;Building a Weather-Ready Nation Wildfire Safety smoking materials. weather.gov/wildfire www.weather.gov/safety #12;Building a Weather-Ready Nation

  10. Computational Models for Understanding Weather

    E-Print Network [OSTI]

    Muraki, David J.

    Computational Models for Understanding Weather Mathematics for Atmospheric Science http://weather-S migration Dutton Conway zonal jetstream in unstable weather 6 #12;Baroclinic Instability Vortices

  11. Social Media: Space Weather #SpaceWeather

    E-Print Network [OSTI]

    causing blackouts in rare cases. To learn about space weather and impacts to the electric grid visit on the Power Grid Space Weather and the Aurora Borealis What are Solar Flares? What are Coronal Mass we do. Satellite communications, GPS applications, and the electric power grid provide the backbone

  12. Development of analytical and numerical models predicting the deposition rate of electrically charged particles in turbulent channel flows 

    E-Print Network [OSTI]

    Ko, Hanseo

    1994-01-01

    An analytical model is established to predict an electrostatically charged particle deposition as a function of particle size in fully-developed turbulent pipe flow. The convectivediffusion flux equation is solved for the particle concentration as a...

  13. Weatherization Assistance Program

    Broader source: Energy.gov [DOE]

    This fact sheet provides an overview of the U.S. Department of Energys Weatherization Assistance Program.

  14. Data Assimilation in Weather Forecasting: A Case Study in PDE-Constrained Optimization

    E-Print Network [OSTI]

    Nocedal, Jorge

    Data Assimilation in Weather Forecasting: A Case Study in PDE-Constrained Optimization M. Fisher J weather prediction centers to produce the initial conditions for 7- to 10-day weather fore- casts, with particular reference to the system in operation at the European Centre for Medium-Range Weather Forecasts. 1

  15. Paintball Summer Weather

    E-Print Network [OSTI]

    Sin, Peter

    Highlights · Paintball · Summer Weather · Birthdays · Manners TheELIWeekly Paintball! Come out Turkey United States Venezuela Summer Weather Safety We've come to realize in the past that not all of our students are aware of our unique weather problems in Central Florida. One hazard that you should

  16. METEOROLOGICAL Weather and Forecasting

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    AMERICAN METEOROLOGICAL SOCIETY Weather and Forecasting EARLY ONLINE RELEASE This is a preliminary and interpretation of information from National Weather Service watches and warnings by10 decision makers such an outlier to the regional severe weather climatology. An analysis of the synoptic and13 mesoscale

  17. WEATHER HAZARDS Basic Climatology

    E-Print Network [OSTI]

    WEATHER HAZARDS Basic Climatology Colorado Climate Center Funding provided by NOAA Sectoral) Wildfires (Jun 02) Recent Declared Disasters in Colorado No Map from FEMA provided #12;National Weather and Warnings Outlook Indicates that hazardous weather may develop ­ useful to those who need considerable

  18. Design And Verification of Controllers for Coupled Bunch Instabilities Using Optimal Control Theory And Numerical Simulation: Predictions for PEP II

    SciTech Connect (OSTI)

    Hindi, Haitham; Prabhakar, Shyam; Fox, John D.; Linscott, Ivan; Teytelman, Dmitri; /SLAC

    2011-08-31

    We present a technique for the design and verification of efficient bunch-by-bunch controllers for damping longitudinal multibunch instabilities. The controllers attempt to optimize the use of available feedback amplifier power - one of the most expensive components of a feedback system - and define the limits of the closed loop system performance. Our design technique alternates between analytic computation of single bunch optimal controllers and verification on a multibunch numerical simulator. The simulator uses PEP-II parameters and identifies unstable coupled bunch modes, their growth rates and their damping rates with feedback. The results from the simulator are shown to be in reasonable agreement with analytical calculations based on the single bunch model. The technique is then used to evaluate the performance of a variety of controllers proposed for PEP-II.

  19. Weather-Corrected Performance Ratio

    SciTech Connect (OSTI)

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

    2013-04-01

    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.

  20. Is Weather Chaotic?

    E-Print Network [OSTI]

    Ales Raidl

    1998-10-13

    The correlation dimension and K2-entropy are estimated from meteorological time- series. The results lead us to claim that seasonal variability of weather is under influence of low dimensional dynamics, whereas changes of weather from day to day are governed by high dimensional system(s). Error-doubling time of this system is less than 3 days. We suggest that the outstanding feature of the weather dynamics is deterministic chaos.

  1. Weather Charts - Hanford Site

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

    Meteorological Station > Met and Climate Data Summary Products > Historical Weather Charts Hanford Meteorological Station Real Time Met Data from Around the Site Current HMS...

  2. Management of Weather and Climate Disputes

    E-Print Network [OSTI]

    Weiss, Edith Brown

    1983-01-01

    who may suffer harm from weather modification, efforts mustmitigating disputes over weather and cli- mate changes.Legal Implications of Weather Modification, in WEATHER

  3. Home Weatherization Visit

    ScienceCinema (OSTI)

    Chu, Steven

    2013-05-29

    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.

  4. Today's Space Weather Space Weather Case Studies

    E-Print Network [OSTI]

    ], and grounding is difficult Hydro-Quebec's power grid is, within 90-sec of storm onset interference was thought to be due to Russian radio jamming ! GOES weather satellites, knocked out Power outage lasted 9-hours #12;What We Focus on Regarding This Storm: Power Grids

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

    SciTech Connect (OSTI)

    Michalakes, J.

    1999-01-13

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

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

    E-Print Network [OSTI]

    Schrijver, Karel

    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

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n eDPFJ.D.

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the WeldonB10081278 United Statestnv~ronmenrar~

  9. NOAA's National Weather Service Building a Weather-Ready Nation

    E-Print Network [OSTI]

    NOAA's National Weather Service Building a Weather-Ready Nation For more information, please visit: www.noaa.gov and www.nws.noaa.gov NOAA's National Weather Service (NWS) is the Nation's official source for weather and water data, forecasts, and warnings. From information accessed on your smartphone

  10. 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.

  11. Neighborhood Weatherization, Houston 

    E-Print Network [OSTI]

    Fowler, M.

    2011-01-01

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

  12. Home Weatherization Visit

    Broader source: Energy.gov [DOE]

    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...

  13. Weatherizing Wilkes-Barre

    ScienceCinema (OSTI)

    Calore, Joe

    2013-05-29

    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.

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

    SciTech Connect (OSTI)

    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

    2012-01-01

    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.

  15. Setups for Weathering Tests 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    cotton. This Web-based decision support system, the Crop Weather Program for South Texas (CWP), is stationed out of the Texas AgriLife Research and Extension Center at Corpus Christi. The program provides easy access to his- torical and current... weather data as well as cal- culators and other tools that generate useful field-specific information about the crop and its environment, said Dr. Carlos J. Fern?ndez, associate professor and the Plant Physiology and Cropping Systems Program?s leader...

  16. Intelligent weather agent for aircraft severe weather avoidance 

    E-Print Network [OSTI]

    Bokadia, Sangeeta

    2002-01-01

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

  17. Infiltration as Ventilation: Weather-Induced Dilution

    E-Print Network [OSTI]

    Sherman, Max H.

    2014-01-01

    LOGICS. 1999. Canadian Weather for Energy Calculations, In:natural ventilation rate with weather conditions, Renewablefor ASHRAE 136 [1/h] WSF Weather and Shielding Factor [1/h

  18. METEOROLOGICAL Weather and Forecasting

    E-Print Network [OSTI]

    Rutledge, Steven

    AMERICAN METEOROLOGICAL SOCIETY Weather and Forecasting EARLY ONLINE RELEASE This is a preliminary microbursts than in many previously documented microbursts. Alignment of Doppler radar data to reports of wind-related damage to electrical power infrastructure in Phoenix allowed a comparison of microburst wind damage

  19. Towards a Self-Configurable Weather Research and Forecasting System Khalid Saleem, S. Masoud Sadjadi, Shu-Ching Chen

    E-Print Network [OSTI]

    Chen, Shu-Ching

    Towards a Self-Configurable Weather Research and Forecasting System Khalid Saleem, S. Masoud, Miami FL {ksale002, sadjadi,chens}@cs.fiu.edu ABSTRACT Current weather forecast and visualization systems lack the scalability to support numerous customized requests for weather research and forecasting

  20. THE WEATHER VISUALIZER, JAVATM , HABANEROTM

    E-Print Network [OSTI]

    Wilhelmson, Robert

    13.19 THE WEATHER VISUALIZER, JAVATM , HABANEROTM , AND THE FUTURE Joel Plutchak* , Robert B Urbana-Champaign has developed a web-based visualization tool known as The Weather Visualizer (DAS, 1997 and images.__ Since its debut in 1995, the goals of the various versions of the Weather Visualizer have

  1. Summer Weather TheELIWeekly

    E-Print Network [OSTI]

    Sin, Peter

    Highlights · Midterms · Summer Weather · Manners · Grammar TheELIWeekly Midterms Good luck on your will be closed for the Independence Day Holiday. th th Summer Weather Safety We've come to realize in the past that not all of our students are aware of our unique weather problems in Central Florida. One hazard that you

  2. Useful Weather Links Nolan Doesken

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Useful Weather Links Nolan Doesken Odie Bliss Colorado Climate Center Presented at ProfessionalAgMet (Colorado Agricultural Meteorological Network) · http://www.coagmet.com Weather data for agriculture #12://www.hprcc.unl.edu/index.php #12;BLM / Forest Service Remote Automated Weather Stations ­ RAWS · http://www.fs.fed.us/raws/ #12

  3. Weather Ready Nation: A Vital Conversation on

    E-Print Network [OSTI]

    Weather Ready Nation: A Vital Conversation on Tornadoes and Severe Weather A Community Report March;WeatherReady Nation: A Vital Conversation on Tornadoes and Severe Weather Report from the December 2011

  4. Weather Forecast Data an Important Input into Building Management Systems 

    E-Print Network [OSTI]

    Poulin, L.

    2013-01-01

    Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important Input into Building..., Martin Fradette Environment Canada RPN ? Recherche en Pr?vision num?rique Dr. Wei Yu, Dr. Paul Vaillancourt, Dr. Sylvie Leroyer Natural Resources Canada ? Canmet Energy Dr. Jos? A. Candanedo Overview ? Building management and weather information...

  5. 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...

  6. Weatherize | 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: Alternative Fuels Data CenterFinancialInvestingRenewableTeachDevelopmentWaterAt-A-GlanceWeatherize

  7. Green Bank Weather Dana S. Balser

    E-Print Network [OSTI]

    Balser, Dana S.

    Green Bank Weather Dana S. Balser #12;Weather Resources 1. Weather Stations 2. Weather Forecasts (NOAA/Maddalena) 3. Pyrgeometer 4. 86 GHz Tipping Radiometer 5. 12 GHz Interferometer #12;Weather Parameters 1 May 2004 to 1 March 2007 speedwindousInstantaneV :Hz)(12StationWeather e

  8. Development of an Immersed Boundary Method to Resolve Complex Terrain in the Weather Research and Forecasting Model

    SciTech Connect (OSTI)

    Lunquist, K A; Chow, F K; Lundquist, J K; Mirocha, J D

    2007-09-04

    Flow and dispersion processes in urban areas are profoundly influenced by the presence of buildings which divert mean flow, affect surface heating and cooling, and alter the structure of turbulence in the lower atmosphere. Accurate prediction of velocity, temperature, and turbulent kinetic energy fields are necessary for determining the transport and dispersion of scalars. Correct predictions of scalar concentrations are vital in densely populated urban areas where they are used to aid in emergency response planning for accidental or intentional releases of hazardous substances. Traditionally, urban flow simulations have been performed by computational fluid dynamics (CFD) codes which can accommodate the geometric complexity inherent to urban landscapes. In these types of models the grid is aligned with the solid boundaries, and the boundary conditions are applied to the computational nodes coincident with the surface. If the CFD code uses a structured curvilinear mesh, then time-consuming manual manipulation is needed to ensure that the mesh conforms to the solid boundaries while minimizing skewness. If the CFD code uses an unstructured grid, then the solver cannot be optimized for the underlying data structure which takes an irregular form. Unstructured solvers are therefore often slower and more memory intensive than their structured counterparts. Additionally, urban-scale CFD models are often forced at lateral boundaries with idealized flow, neglecting dynamic forcing due to synoptic scale weather patterns. These CFD codes solve the incompressible Navier-Stokes equations and include limited options for representing atmospheric processes such as surface fluxes and moisture. Traditional CFD codes therefore posses several drawbacks, due to the expense of either creating the grid or solving the resulting algebraic system of equations, and due to the idealized boundary conditions and the lack of full atmospheric physics. Meso-scale atmospheric boundary layer simulations, on the other hand, are performed by numerical weather prediction (NWP) codes, which cannot handle the geometry of the urban landscape, but do provide a more complete representation of atmospheric physics. NWP codes typically use structured grids with terrain-following vertical coordinates, include a full suite of atmospheric physics parameterizations, and allow for dynamic synoptic scale lateral forcing through grid nesting. Terrain following grids are unsuitable for urban terrain, as steep terrain gradients cause extreme distortion of the computational cells. In this work, we introduce and develop an immersed boundary method (IBM) to allow the favorable properties of a numerical weather prediction code to be combined with the ability to handle complex terrain. IBM uses a non-conforming structured grid, and allows solid boundaries to pass through the computational cells. As the terrain passes through the mesh in an arbitrary manner, the main goal of the IBM is to apply the boundary condition on the interior of the domain as accurately as possible. With the implementation of the IBM, numerical weather prediction codes can be used to explicitly resolve urban terrain. Heterogeneous urban domains using the IBM can be nested into larger mesoscale domains using a terrain-following coordinate. The larger mesoscale domain provides lateral boundary conditions to the urban domain with the correct forcing, allowing seamless integration between mesoscale and urban scale models. Further discussion of the scope of this project is given by Lundquist et al. [2007]. The current paper describes the implementation of an IBM into the Weather Research and Forecasting (WRF) model, which is an open source numerical weather prediction code. The WRF model solves the non-hydrostatic compressible Navier-Stokes equations, and employs an isobaric terrain-following vertical coordinate. Many types of IB methods have been developed by researchers; a comprehensive review can be found in Mittal and Iaccarino [2005]. To the authors knowledge, this is the first IBM approach that is able to

  9. THE NOAA HAZARDOUS WEATHER TESTBED: COLLABORATIVE TESTING OF ENSEMBLE AND CONVECTION-ALLOWING WRF MODELS AND SUBSEQUENT

    E-Print Network [OSTI]

    Xue, Ming

    THE NOAA HAZARDOUS WEATHER TESTBED: COLLABORATIVE TESTING OF ENSEMBLE AND CONVECTION-ALLOWING WRF NOAA's Hazardous Weather Testbed (HWT) is a joint facility managed by the National Severe Storms Laboratory (NSSL), the Storm Prediction Center (SPC), and the NWS Oklahoma City/Norman Weather Forecast

  10. Understanding space weather to shield society: A global road map for 2015-2025 commissioned by COSPAR and ILWS

    E-Print Network [OSTI]

    Schrijver, Karel

    Understanding space weather to shield society: A global road map for 2015-2025 commissionedSpace Weather and Environment Informatics Lab., National Inst. of Information and Communications Techn., Tokyo Corporation, Chantilly, VA 20151, USA vNOAA Space Weather Prediction Center, USA wSwedish Institute of Space

  11. Winter Weather Outlook

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThe U.S. Department ofWinners0 Winter Weather

  12. Winter Weather Outlook

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThe U.S. Department ofWinners0 Winter Weather1

  13. Bishop Paiute Weatherization Training Program

    SciTech Connect (OSTI)

    Carlos Hernandez

    2010-01-28

    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.

  14. Weatherization Apprenticeship Program

    SciTech Connect (OSTI)

    Watson, Eric J

    2012-12-18

    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.

  15. Experimental Measurements and Numerical Prediction of the Effect of Waves on Mooring Line Forces for a Container Ship Moored to Pile Supported and Solid Wall Docks 

    E-Print Network [OSTI]

    Luai, Andres B

    2013-05-03

    The conditions of a moored container ship are examined by a physical model in a wave basin and by a numerical simulation. Each condition, wave period, significant wave height and wave direction, was isolated and tested for a 50:1 scale model of a...

  16. Reducing Extreme Weather Impacts: Building a Weather-Ready Nation For more than 140 years, the National Weather Service (NWS) has provided weather, water, and climate

    E-Print Network [OSTI]

    Reducing Extreme Weather Impacts: Building a Weather-Ready Nation For more than 140 years, the National Weather Service (NWS) has provided weather, water, and climate information to protect lives also been a year of extreme weather events. The impact of these events, both on lives and the economy

  17. QUANTIFICATION OF WEATHERING Robert Hack

    E-Print Network [OSTI]

    Hack, Robert

    : Weathering and especially future weathering after construction of a slope is a main cause for failure Proc. Engineering geology and the environment. Athens. Eds. Marinos et al.. 1997. Publ. Balkema 40 60 80 H slate medium H slate v.thin H slate tick lam. Tg21 thick Tg21 medium Tg21 thin Tg21 v

  18. Earthquake prediction

    SciTech Connect (OSTI)

    Mogi, K.

    1985-01-01

    Is it possible to predict earthquakes. Based on the results of various field observations and laboratory experiments, Earthquake Prediction discusses what features should be focused on when carrying out earthquake prediction. The author explains, from the viewpoint of physics, how the ease or difficulty of earthquake prediction depends on the extent to which precursory phenomena appear, and how these phenomena depend on such factors as the heterogeneity of the earth's crust. This book includes an explanation of the current state of earthquake prediction methods, and covers the establishment of a practical system for predicting earthquakes through a 24-hour-a-day system of constant monitoring. Numerous examples are cited from Japan, where geophysical data have been kept longer than anywhere in the world.

  19. TMY2 Weather Data | Department of Energy

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

    TMY2 Weather Data TMY2 Weather Data TMY2 weather data that were used to generate the reference buildings refbldgs-v1.35.0-weatherfilestmy2.zip More Documents & Publications TMY2...

  20. Weatherization Formula Grants - American Recovery and Reinvestment...

    Energy Savers [EERE]

    Weatherization Formula Grants - American Recovery and Reinvestment Act (ARRA) Weatherization Formula Grants - American Recovery and Reinvestment Act (ARRA) U.S. Department of...

  1. Incorporating Weather Data into Energy Savings Calculations ...

    Energy Savers [EERE]

    Incorporating Weather Data into Energy Savings Calculations Incorporating Weather Data into Energy Savings Calculations Better Buildings Residential Network Peer Exchange Call...

  2. WEATHER MODIFICATION BY AIRCRAFT CLOUD SEEDING

    E-Print Network [OSTI]

    Vali, Gabor

    WEATHER MODIFICATION BY AIRCRAFT CLOUD SEEDING BERYULEV G.P. Head, Department of Cloud Physics and Weather Modification Central Aerological Observatory Rosgidromet, Russian Federation #12

  3. New York: Weatherizing Westbeth Reduces Energy Consumption |...

    Office of Environmental Management (EM)

    York: Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and...

  4. Los Alamos Space Weather Summer School

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

    Non-U.S Citizens Mentors, Projects Papers, Reports Photos NSEC IGPPS Space Weather Summer School Los Alamos Space Weather Summer School June 1 - July 24, 2015 Contacts...

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

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

    Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts June 18, 2014 - 10:49am...

  6. WEATHER MODIFICATION BY CARBON DUST ABSORPTION OF SOLAR ENERGY

    E-Print Network [OSTI]

    Gray, William

    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

  7. WeatherMaker: Weather file conversion and evaluation

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1999-07-01

    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.

  8. 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)

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

    2013-01-01

    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.

  9. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

    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.

  10. Attic or Roof? An Evaluation of Two Advanced Weatherization Packages

    SciTech Connect (OSTI)

    Neuhauser, K.

    2012-06-01

    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.

  11. Weather vs. Climate What is the difference between

    E-Print Network [OSTI]

    Johnson, Cari

    Consul7ng #12;Weather Consul6ng Using Climate Data · A weather consultant helps people or businesses make decisions based on knowledge of weather or climateWeather vs. Climate #12;What is the difference between weather and climate

  12. 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.

  13. Social Science in NOAA Weather John Gaynor

    E-Print Network [OSTI]

    Social Science in NOAA Weather Research John Gaynor Director Office of Weather and Air Quality NOAA Impacts Program #12;Vision a society that maximizes the net social benefit of weather information Mission improve the societal benefits of weather forecasting Goal national and international focal point of social

  14. Arizona Foundation Expands Weatherization Training Center

    Broader source: Energy.gov [DOE]

    Read about one weatherization training center that's looking forward to an onslaught of new trainees.

  15. Weather and Forecasting EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Johnson, Richard H.

    Weather and Forecasting EARLY ONLINE RELEASE This is a preliminary PDF of the author Fort Collins, Colorado7 October 20128 (submitted to Weather and Forecasting)9 1 Corresponding author address: Rebecca D. Adams-Selin, HQ Air Force Weather Agency 16th Weather Squadron, 101 Nelson Dr., Offutt

  16. Monthly Weather Review EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Johnson, Richard H.

    Monthly Weather Review EARLY ONLINE RELEASE This is a preliminary PDF of the author, Colorado5 December 20126 (submitted to Monthly Weather Review)7 1 Corresponding author address: Rebecca D. Adams-Selin, HQ Air Force Weather Agency 16th Weather Squadron, 101 Nelson Dr., Offutt AFB, NE, 68113

  17. Weather In History Professor : Dr. Chris Hennon

    E-Print Network [OSTI]

    Hennon, Christopher C.

    ATMS 179 Weather In History Fall 2012 Professor : Dr. Chris Hennon Office : RBH 236C Phone : 232 Description Weather in History is not an examination of significant weather events per se, but an analysis of how world historical events and trajectories were altered by weather and climate. We will weave

  18. The Voice of NOAA's National Weather Service

    E-Print Network [OSTI]

    The Voice of NOAA's National Weather Service Broadcasting Continuous Weather Information on the Following Frequencies: 162.400 MHz 162.425 MHz 162.450 MHz 162.475 MHz 162 Administration National Weather Service http://www.weather.gov/nwr/ NOAA/PA 94062 Rev January 2015 #12;NOAA

  19. Weatherization and Intergovernmental Program Success Stories

    Broader source: Energy.gov [DOE]

    Weatherization and Intergovernmental Programs Office (WIPO) success stories, news clips, and press releases.

  20. -A Science Service Feature ? WHY THE WEATHER ?

    E-Print Network [OSTI]

    No. 772 Oct. 31 -A Science Service Feature ? WHY THE WEATHER ? By Dr. Charles B. Brooks of Clark University. FORECASTING WEATHER FOR BEES Many people consult the Weather Bureau before planning a picnic o r the service. In the f a l l of 1923 the Weather Bureau started a Special service In theregion north

  1. A, Science Service Feature ? WHY TRE WEATHER ?

    E-Print Network [OSTI]

    No. 228 May 80 A, Science Service Feature ? WHY TRE WEATHER ? Dr, Charles E', Brooks of C 1ark% carefully follow the Weather Bureau's forecast. Tho khserver at the central office c)f ,the Weather Bureau unnecessarily, neither does he get wet. Though the weather rilanls wife scoffs at his forecasts, she always asks

  2. Proceedings of Student/Faculty Research Day, CSIS, Pace University, May 5th Weather Station Website for Pace University Environmental Center

    E-Print Network [OSTI]

    Tappert, Charles

    weather table currently on the web server using a Data Transformation Service (DTS) job. A SQL Agent job by students in the Spring of 2005. The website gathered data using a comma-delimited file produced by Weather and sunset [2] while predictions of weather were completely based on observation. It was not until

  3. 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 IN NATIONAL FIRE WEATHER OUTLOOKS Sarah J. Taylor*, David R. Bright, Greg Carbin and Phillip Bothwell NOAA. INTRODUCTION The Storm Prediction Center (SPC) in Norman, OK prepares national Fire Weather Outlooks valid

  4. Neural network based short-term load forecasting using weather compensation

    SciTech Connect (OSTI)

    Chow, T.W.S.; Leung, C.T. [City Univ. of Hong Kong, Kowloon (Hong Kong). Dept. of Electronic Engineering] [City Univ. of Hong Kong, Kowloon (Hong Kong). Dept. of Electronic Engineering

    1996-11-01

    This paper presents a novel technique for electric load forecasting based on neural weather compensation. The proposed method is a nonlinear generalization of Box and Jenkins approach for nonstationary time-series prediction. A weather compensation neural network is implemented for one-day ahead electric load forecasting. The weather compensation neural network can accurately predict the change of actual electric load consumption from the previous day. The results, based on Hong Kong Island historical load demand, indicate that this methodology is capable of providing a more accurate load forecast with a 0.9% reduction in forecast error.

  5. An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis

    E-Print Network [OSTI]

    Doswell III, Charles A.

    An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis 2011, in final form 9 March 2012) ABSTRACT The areal extent of severe weather parameters favorable for significant severe weather is evaluated as a means of identifying major severe weather outbreaks. The first

  6. Weatherize Your Home--Caulk and Weather Strip: Energy Efficiency and Renewable Energy Clearinghouse (EREC) Brochure

    SciTech Connect (OSTI)

    Phillips, S.

    2001-04-17

    This fact sheet explains the basics of caulking and weather stripping, and provides a comparison of the types of products available for these two weatherization techniques.

  7. Building a Weather-Ready Nation Winter Weather Safety

    E-Print Network [OSTI]

    or ice can shut down a city and leave you trapped at home for days. · Driving on ice and snow. · Have emergency supplies in case you can't leave home for several days. weather.gov/winter www sure your trees are trimmed and away from power lines. · Have an emergency kit in case the power goes

  8. Evaluating climate models: Should we use weather or climate observations?

    SciTech Connect (OSTI)

    Oglesby, Robert J [ORNL; Erickson III, David J [ORNL

    2009-12-01

    Calling the numerical models that we use for simulations of climate change 'climate models' is a bit of a misnomer. These 'general circulation models' (GCMs, AKA global climate models) and their cousins the 'regional climate models' (RCMs) are actually physically-based weather simulators. That is, these models simulate, either globally or locally, daily weather patterns in response to some change in forcing or boundary condition. These simulated weather patterns are then aggregated into climate statistics, very much as we aggregate observations into 'real climate statistics'. Traditionally, the output of GCMs has been evaluated using climate statistics, as opposed to their ability to simulate realistic daily weather observations. At the coarse global scale this may be a reasonable approach, however, as RCM's downscale to increasingly higher resolutions, the conjunction between weather and climate becomes more problematic. We present results from a series of present-day climate simulations using the WRF ARW for domains that cover North America, much of Latin America, and South Asia. The basic domains are at a 12 km resolution, but several inner domains at 4 km have also been simulated. These include regions of complex topography in Mexico, Colombia, Peru, and Sri Lanka, as well as a region of low topography and fairly homogeneous land surface type (the U.S. Great Plains). Model evaluations are performed using standard climate analyses (e.g., reanalyses; NCDC data) but also using time series of daily station observations. Preliminary results suggest little difference in the assessment of long-term mean quantities, but the variability on seasonal and interannual timescales is better described. Furthermore, the value-added by using daily weather observations as an evaluation tool increases with the model resolution.

  9. Daymet: Gridded subdaily weather data for North America

    SciTech Connect (OSTI)

    Thornton, Michele M [ORNL] [ORNL; Thornton, Peter E [ORNL] [ORNL; Cook, Robert B [ORNL] [ORNL; Wei, Yaxing [ORNL] [ORNL; Eby, Pete I [ORNL] [ORNL; Devarakonda, Ranjeet [ORNL] [ORNL

    2011-01-01

    A core requirement for many ecosystem modeling approaches is surface weather fields, including temperature, precipitation, humidity, and incident solar radiation. Carbon dynamics and flux estimates from process models depend strongly on daily and subdaily weather conditions. One common obstacle to model implementation over continental scale regions is the difficulty of obtaining the relevant surface weather observations from in situ networks, and producing spatially interpolated (gridded) surfaces of the necessary weather fields at the appropriate spatial and temporal resolution. One approach that has been developed to overcome this obstacle is Daymet, a numerical method for producing gridded surfaces of subdaily temperature (daily maximum and minimum temperature), and daily precipitation, humidity, and radiation over large regions of complex terrain, using daily surface weather observations and an accurate elevation grid as input. We are providing a high-quality gridded surface weather product over North America for input to NACP process modeling studies by expanding on the conterminous U.S. Daymet domain to include Canada (south of 52N) and Mexico. Download Daymet Data: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1219. Input data requirements for the conterminous US, Mexico, and Canada for 1980 - 2008 have been used to produce the Daymet product for these areas; the data will be released in Fall 2010. MAST-DC is developing several ways to select and distribute the Daymet data: ftp download, single-pixel extraction, and access through THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Periodic updates to the continental data set will be implemented as new years of surface observations become available.

  10. A multi-period equilibrium pricing model of weather derivatives

    E-Print Network [OSTI]

    Lee, Yongheon; Oren, Shmuel S.

    2010-01-01

    Y. : Valuation and hedging of weather derivatives on monthlyJ. Risk 31. Yoo, S. : Weather derivatives and seasonaleffects and valuation of weather derivatives. Financ. Rev.

  11. A Multi-period Equilibrium Pricing Model of Weather Derivatives

    E-Print Network [OSTI]

    Lee, Yongheon; Oren, Shmuel S.

    2008-01-01

    2002). On modelling and pricing weather derivatives. Applied2003). Arbitrage-fee pricing of weather derivatives based onfects and valuation of weather derivatives. The Financial

  12. Weather and the Transport of Hazardous Materials | Department...

    Office of Environmental Management (EM)

    Weather and the Transport of Hazardous Materials Weather and the Transport of Hazardous Materials Weather and the Transport of Hazardous Materials More Documents & Publications The...

  13. Weather and the Transport of Hazardous Materials | Department...

    Office of Environmental Management (EM)

    Weather and the Transport of Hazardous Materials Weather and the Transport of Hazardous Materials Weather and the Transport of Hazardous Materials More Documents & Publications...

  14. Weather-based yield forecasts developed for 12 California crops

    E-Print Network [OSTI]

    Lobell, David; Cahill, Kimberly Nicholas; Field, Christopher

    2006-01-01

    RESEARCH ARTICLE Weather-based yield forecasts developed fordepend largely on the weather, measurements from existingpredictions. We developed weather-based models of statewide

  15. Identification of High Collision Concentration Locations Under Wet Weather Conditions

    E-Print Network [OSTI]

    Hwang, Taesung; Chung, Koohong; Ragland, David; Chan, Chin-Yao

    2008-01-01

    conducted under wet weather conditions. Observations fromLeahy, M. , and Suggett, J. Weather as a Chronic Hazard forLocations Under Wet Weather Conditions Taesung Hwang,

  16. Essays on Weather Indexed Insurance and Energy Use in Mexico

    E-Print Network [OSTI]

    Fuchs, Alan

    2011-01-01

    and O. Mahul, 2007. “Weather Index Insurance for Agricultureand J. Vickery, 2005. “Weather Insurance in Semi-AridBinswanger, 1993. “Wealth, Weather Risk and the Composition

  17. OpenWeather: a peer-to-peer weather data transmission protocol

    E-Print Network [OSTI]

    Yanes, Adrian

    2011-01-01

    The study of the weather is performed using instruments termed weather stations. These weather stations are distributed around the world, collecting the data from the different phenomena. Several weather organizations have been deploying thousands of these instruments, creating big networks to collect weather data. These instruments are collecting the weather data and delivering it for later processing in the collections points. Nevertheless, all the methodologies used to transmit the weather data are based in protocols non adapted for this purpose. Thus, the weather stations are limited by the data formats and protocols used in them, not taking advantage of the real-time data available on them. We research the weather instruments, their technology and their network capabilities, in order to provide a solution for the mentioned problem. OpenWeather is the protocol proposed to provide a more optimum and reliable way to transmit the weather data. We evaluate the environmental factors, such as location or bandwi...

  18. Funding Opportunity Announcement: Weatherization Innovation Pilot Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization Assistance Program Funding Opportunity Announcement DE-FOA-00000309 dealing with the Weatherization Innovation Pilot Program.

  19. More Weatherized Homes for Minnesota Tribe

    Broader source: Energy.gov [DOE]

    Weatherization crews across Minnesota are busy replacing old furnaces, sealing air leaks, and weathering stripped doors for people who are at or below 200 percent of the federal poverty line, with priority given to households with elderly or disabled people.

  20. & Scierce Service Feat-? \\WY THE WEATHER ?

    E-Print Network [OSTI]

    No. 39 June 26 & Scierce Service Feat- ? \\WY THE WEATHER ? Dr. Charles F.Brooks, Secretary, American Meteorological Society quotes: TRUTHFUL VEATHEFZ DOGGzEREL Of the hundreds of weather proverbs

  1. Science Service Featura ? WRY THE WEATHER 1

    E-Print Network [OSTI]

    No. 426 Sept, 22 Science Service Featura ? WRY THE WEATHER 1 By Dr, Charles F. Brooks of Clzrk of weather data, that there is any particular virtue i n the date of the equinox. does occur at that time

  2. Monthly Weather Review EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Majda, Andrew J.

    Monthly Weather Review EARLY ONLINE RELEASE This is a preliminary PDF of the author Institute of Mathematical Sciences5 New York University6 New York, NY7 Submitted to Monthly Weather Review8

  3. A Science Service Featturq ? .> WHY ?HE WEATHER ?

    E-Print Network [OSTI]

    No* 15 29 A Science Service Featturq ? .> WHY ?HE WEATHER ? Dr. Charles F. Brooks, Secretary in the weather, It may bo defined the line of contact where cold wind strikes R warm wind, the line usually ad

  4. A Science Service Feature WHY THE WEATHER

    E-Print Network [OSTI]

    A Science Service Feature WHY THE WEATHER -__c T -- By Dr. Charles F. Brooks of Clark University States, .during which spell of dry weather teqeratures f e l l at no tiire more than a few degrees below

  5. Monthly Weather Review EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Monthly Weather Review EARLY ONLINE RELEASE This is a preliminary PDF of the author to Monthly Weather Review25 Revised 16 May 201426 Manuscript (non-LaTeX) Click here to download Manuscript

  6. -A Scienqe Service Feature ? WHY THE WEATHER ?

    E-Print Network [OSTI]

    No- 362 July 9 -A Scienqe Service Feature ? WHY THE WEATHER ? Dr, Charles F, Brooks of Cl? Sir Frederic Stupart of Canada has made a study of pressure and weather conditions on days on which

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

    SciTech Connect (OSTI)

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

    2007-06-01

    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.

  8. New Hampshire Weatherization Gets a Funding Boost

    Broader source: Energy.gov [DOE]

    Nonprofit weatherization program makes rapid changes to utilize Recovery Act funds and help residents lower energy costs.

  9. Leveraging Resources for the Weatherization Innovation Pilot...

    Energy Savers [EERE]

    Pilot Projects (WIPP) Presentation Leveraging Resources for Weatherization Innovation Pilot Projects (WIPP) SERC Photovoltaics for Residential Buildings Webinar Transcript...

  10. ENERGY, WEATHER AND Walker Institute Research

    E-Print Network [OSTI]

    Hodges, Kevin

    ENERGY, WEATHER AND CLIMATE Walker Institute Research Climate scientists and engineers are working together to understand the impacts of weather and climate on energy systems. WEATHER, CLIMATE AND ENERGY new risks to the energy sector. With the increasing deployment of variable, renewable energy

  11. INTELLIGENT HANDLING OF WEATHER FORECASTS Stephan Kerpedjiev

    E-Print Network [OSTI]

    , discourse and semantic. They are based on a conceptual model underlying weather forecasts as well situations represented in the form of texts in NL, weather maps, data tables or combined information objectsINTELLIGENT HANDLING OF WEATHER FORECASTS Stephan Kerpedjiev I n s t i t u t e of Mathematics Acad

  12. Stochastic Weather Generator Based Ensemble Streamflow Forecasting

    E-Print Network [OSTI]

    Stochastic Weather Generator Based Ensemble Streamflow Forecasting by Nina Marie Caraway B of Civil Engineering 2012 #12;This thesis entitled: Stochastic Weather Generator Based Ensemble Streamflow mentioned discipline. #12;iii Caraway, Nina Marie (M.S., Civil Engineering) Stochastic Weather Generator

  13. Weather and Forecasting EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Weather and Forecasting EARLY ONLINE RELEASE This is a preliminary PDF of the author, Guangzhou 510301, China9 2. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological10, China20 21 22 23 24 Submitted to Weather and Forecasting25 2014. 12. 2826 27 Corresponding author: Dr

  14. -A Scienq Service Feature \\VHY THE WEATHER ?

    E-Print Network [OSTI]

    No. 408 Sept, 1 -A Scienq Service Feature \\VHY THE WEATHER ? By Dr, Charles E'. Brooks of Clark University. HOT RAILRDAD TRAINS Especially i n warm weather the railroad train i s likely to lose passengers Weather) I All rights reserved by Science Service Science Service, B and 21st Sts,, Washington, D .C #12;

  15. Weather Report Translation using a Translation Memory

    E-Print Network [OSTI]

    Langlais, Philippe

    Weather Report Translation using a Translation Memory Thomas Leplus, Philippe Langlais and Guy to French weather report translation system. This system, which has been in operation for more than 20 years approach based on the analysis of hundreds of thousands of weather reports. We show that it is possible

  16. BRIDGING WEATHER AND CLIMATE IN RESEARCH AND

    E-Print Network [OSTI]

    Johnson, Richard H.

    BRIDGING WEATHER AND CLIMATE IN RESEARCH AND FORECASTS OF THE GLOBAL MONSOON SYSTEM by Chih and forecast issues ranging from mesoscale weather to climate change in various monsoon regions of the globe organized under the new World Weather Research Programme (WWRP). The previous emphasis of this workshop

  17. Monthly Weather Review EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Johnson, Richard H.

    Monthly Weather Review EARLY ONLINE RELEASE This is a preliminary PDF of the author and have been linked to severe weather and flooding in northern Mexico and the southwest United States 2001; Douglas and Leal 2003; Gochis et al. 2004; Higgins et al. 2004) and severe weather outbreaks

  18. Science Service Feature' ? WHy THE WEATHER P

    E-Print Network [OSTI]

    Science Service Feature' ? WHy THE WEATHER P By nr, 'Charles F, Brooks of Clark University or 300 miles i n width. The speed with which the Weather Clears, A fI10w" or storm area malY Vary Since s as ---------- (Tomorrow: Honey ':Weather A l l rights reserved by Science Service SCIENCE SERVICE , B and 21st Sts

  19. Daily Weather Laboratory II Spring Semester 2010

    E-Print Network [OSTI]

    van den Heever, Susan C.

    AT541 Daily Weather Laboratory II Spring Semester 2010 Meeting Times: Tuesday and Thursday: 1, dynamic and thermodynamic characteristics of mesoscale weather phenomena. Aspects of synoptic- scale contest will also be held, separated by the mid-term exam. In-class weather briefings will be given

  20. A Sciexice Service Feature ? \\THY "HE WEATHER ?

    E-Print Network [OSTI]

    No. $84 Jan. 26 A Sciexice Service Feature ? \\THY "HE WEATHER ? By Dr. Charles F, Brooks of Clark walk more briskly; every preparation i s made for a spell Of hard cold weather .I' If i t is raining are turned up; hands are put into When a cold wave is expected, some Weather Bureau stations display a square

  1. Monthly Weather Review EARLY ONLINE RELEASE

    E-Print Network [OSTI]

    Heinselman, Pamela L.

    Monthly Weather Review EARLY ONLINE RELEASE This is a preliminary PDF of the author its first bow echo was captured by9 the National Weather Radar Testbed Phased Array Radar (NWRT PAR weather events, such as quasi-linear convective systems (QLCSs). Trapp et al.29 (2005) found that 18

  2. -A Science Service Feature 7 BHYTRZ WEATHER ?

    E-Print Network [OSTI]

    -A Science Service Feature 7 BHYTRZ WEATHER ? Dr. Charles F. Brooks, of Clark University, t e l l s of SEVERE EARLY WINTER WEATHER In marked contrast t o the mildness of November and December i n eastern, western and southern Europe were experiencing even stormier weather than our Southwest. lanches

  3. WEATHER, p. 2 MIT's Oldest and

    E-Print Network [OSTI]

    WEATHER, p. 2 SECTIONS MIT's Oldest and Largest Newspaper tech.mit.edu Established 1881 Volume 135, Number 2 Friday, February 6, 2015 Opinion . . . . . . . . .4 Fun Pages . . . . . . .5 Weather, until it isn't. FUN, p. 5 IT'S NOT QUITE OVER YET I'm dreaming of a white Valentine's. WEATHER, p. 8

  4. service Feature 7 VHY THE WEATHER 7

    E-Print Network [OSTI]

    No, 445 Oct. 14 service Feature 7 VHY THE WEATHER 7 By Dr, Charles F. Brooks of C l a r k, without reaching the ground, Therefore, the sur- face weather is calm and quiet, though clouds may, usually c d l e d Indian Surmer ;vhen it lasts for a few days togethar. The q u i e t weather of October

  5. -A Science &Feature ? TRY THE WEATHER ?

    E-Print Network [OSTI]

    -A Science &Feature ? TRY THE WEATHER ? By Dr. Charles F. Brook8 of Clark University. Dl mountains both i n quiet weather and i n windy is coolad t o temperatures lower than those elsewhere, density and movoments of such clouds t e l l much as t o the trend of the weather, mountains where

  6. Service Assessment Intense Space Weather Storms

    E-Print Network [OSTI]

    Schrijver, Karel

    Service Assessment Intense Space Weather Storms October 19 ­ November 07, 2003 U.S. DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration National Weather Service Silver Spring, Maryland image. #12;Service Assessment Intense Space Weather Storms October 19 ­ November 07, 2003 April 2004 U

  7. Understanding space weather to shield society

    E-Print Network [OSTI]

    Schrijver, Karel

    Understanding space weather to shield society Improving understanding and forecasts of space weather requires addressing scientific challenges within the network of physical processes that connect the Sun to society. The roadmap team identified the highest-priority areas within the Sun-Earth space-weather

  8. -A --Science --Service Feature ? WHY THE WEATHER ?

    E-Print Network [OSTI]

    I\\?O.564 March 2 -A --Science --Service Feature ? WHY THE WEATHER ? By Dr. Charles F. Brooks address over the radio, the weather of Inauguration my becores less a matter of concern, But those who intend t o be i n Washington for the ceremonies may le interested i n some weather Probabilities

  9. Summer Weather Safety Midterm Student Reports

    E-Print Network [OSTI]

    Sin, Peter

    Highlights Summer Weather Safety Midterm Student Reports Midterm Course Evaluations Notes from the Office Notes from the Office Manners, Culture & Grammar TheELIWeekly Summer Weather Safety Be safe. If you take a study break, go out and enjoy the weather. But be careful since North Central Florida has

  10. Understanding space weather to shield society

    E-Print Network [OSTI]

    Schrijver, Karel

    Understanding space weather to shield society An international, interdisciplinary roadmap to advance the scientific understanding of the Sun-Earth connections leading to space weather, on behalf observatory along with models and innovative approaches to data incorporation;! b) Understand space weather

  11. University of Arkansas Libraries Inclement Weather Policy

    E-Print Network [OSTI]

    Capogna, Luca

    University of Arkansas Libraries Inclement Weather Policy Decision Process for Closing the Libraries The general University policy regarding inclement weather is that the University must continue certain operations despite bad weather, but that the obligation to provide services to students must

  12. SPACE WEATHER RISKS FROM AN INSURANCE PERSPECTIVE

    E-Print Network [OSTI]

    Schrijver, Karel

    SPACE WEATHER RISKS FROM AN INSURANCE PERSPECTIVE 26.04.2011 Jan Eichner ­ Geo Risks Research #12, including geophysical hazards, weather-related hazards and potential consequences of climate change weather). · Linking geo-scientific research with business expertise in risk assessment, risk modeling

  13. Causal Electron Precipitation in Geospace Weather

    E-Print Network [OSTI]

    Lotko, William

    607080 18 Causal Electron Precipitation in Geospace Weather A Proposal submitted by Dartmouth;NSF: National Space Causal Electron Precipitation in Geospace Weather: W. Lotko, PI Weather Program and global characteristics of electron precipitation influence the magnetosphere-iono- sphere (MI

  14. Building a Weather-Ready Nation noaa.gov/wrn Weather-Ready Nation &

    E-Print Network [OSTI]

    Building a Weather-Ready Nation noaa.gov/wrn Welcome Weather-Ready Nation & America's PrepareAthon! Webinar April 1, 2015 "Whole Community Approach to Building National Resilience " #12;Building a Weather-Ready Nation A word from... noaa.gov/wrn Dr. Kathryn Sullivan NOAA Administrator #12;Building a Weather

  15. 480 MONTHLY WEATHER .REVIEW. WEATHER IN CINCINNATI, OHIO, FOR 130 YEARS.

    E-Print Network [OSTI]

    Maynard, J. Barry

    480 MONTHLY WEATHER .REVIEW. WEATHER IN CINCINNATI, OHIO, FOR 130 YEARS. By W.C. DEVEREAUX,Meteorologiat. [Dated Weather Biaeau, Cincinnati, Ohio.] JDLT. 1919 The h t permanent settlement in the State of Ohio- vations on the weather, the earthquakes, the aurora borealis and the southwest wind." The daily

  16. DEGREE DAYS AND WEATHER NOTES Weather Forecast: Chance of showers and storms through

    E-Print Network [OSTI]

    Isaacs, Rufus

    1 DEGREE DAYS AND WEATHER NOTES Weather Forecast: Chance of showers and storms through Thursday by ~225. Complete weather summaries and forecasts are at available enviroweather.msu.edu GDD (from March 1.isaacslab.ent.msu.edu/blueberryscout/blueberryscout.htm Contents · Crop Stages · Weather Notes · Disease Update · Scouting the Major Diseases of Highbush

  17. Space weather impacts Thank you for taking this anonymous survey on the impacts of space weather.

    E-Print Network [OSTI]

    Schrijver, Karel

    Space weather impacts Thank you for taking this anonymous survey on the impacts of space weather) that apply to the general information regarding your institution and your interest in space weather. Please that focus on three different aspects of space weather. The questions that you will see in this part

  18. Figure 1. Example Current Weather Product INTEGRATING REAL-TIME WEATHER INTO AN INTERNET LEARNING ENVIRONMENT

    E-Print Network [OSTI]

    Wilhelmson, Robert

    Figure 1. Example Current Weather Product INTEGRATING REAL-TIME WEATHER INTO AN INTERNET LEARNING ENVIRONMENT: WW2010 CURRENT WEATHER PRODUCTS Daniel J. Bramer, David P. Wojtowicz, Joel Plutchak, Robert B ­ is that accurate, useful, and if possible, real-life examples of weather phenomena are necessary to best enhance

  19. Weather-based forecasts of California crop yields

    SciTech Connect (OSTI)

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

    2005-09-26

    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.

  20. MINOR IN WEATHER AND CLIMATE (1913F) NAME___________________________________ ID# _______________________________

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    MINOR IN WEATHER AND CLIMATE (1913F) NAME___________________________________ ID _______________ DATE_____________________________ A MINOR IN WEATHER AND CLIMATE REQUIRES A MINIMUM OF 15 HOURS IS REQUIRED. A MINOR IN WEATHER AND CLIMATE REQUIRES: A MINIMUM OF SIX HOURS FROM: METR 1014 WEATHER

  1. Modeling Field-level Irrigation Demands with Changing Weather and Crop Choices

    E-Print Network [OSTI]

    MardanDoost, Babak

    2015-05-31

    . The presented water budget model is capable of estimate daily water demand over space and time under predicted climate and land-use change. The model-predicted irrigation demand was developed based on crop-specific evapotranspiration, weather data, and with 2007...

  2. 1944 IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 28, NO. 6, DECEMBER 2000 System Identification, Modeling, and Prediction for

    E-Print Network [OSTI]

    Vassiliadis, Dimitrios

    , Modeling, and Prediction for Space Weather Environments Dimitris Vassiliadis Abstract--By now nonlinear dynamical models and neural net- works have been used to predict and model a wide variety of space weather. These developments have prompted the establishment of national space weather programs in the U.S. [21], [22

  3. WIPP Weatherization: Common Errors and Innovative Solutions Presentati...

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

    WIPP Weatherization: Common Errors and Innovative Solutions Presentation WIPP Weatherization: Common Errors and Innovative Solutions Presentation This presentation contains...

  4. 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.

  5. Space based observations for monitoring extreme weather and climate events

    SciTech Connect (OSTI)

    Rao, P.K.

    1996-12-31

    Observations are essential for monitoring, understanding, and predicting the potential for extreme weather and climate events. These events occur on all time and spatial scales. Current NOAA operational satellites have a unique capability of providing many of the observations that are critical for monitoring these events. These observations and derived geophysical quantities can also be used for diagnostics and prediction purposes. Extreme weather conditions such as severe thunderstorms and flash floods, occur very quickly, may last for a short time, and create a considerable amount of damage. Advance warnings of the order of a few minutes are needed to alert the public so they may take adequate precautions. Some extreme weather conditions such as tropical storms (hurricanes) may last for days, and in order to predict the exact track, intensity of the storm and forecast the land fall, frequent observations are critical. Examples of satellite data that are obtained from the NOAA satellites are presented to demonstrate their ability to monitor the extreme weather phenomena. Examples of extreme climate conditions are droughts over continents and the annual depletion of ozone over the Antarctic. Data derived from NOAA satellites were used to monitor the severe drought over Texas and Southwestern U.S.A. in early 1996. Similar data are being used by other countries to monitor the drought in their regions. The development of the ozone hole over the Antarctic during the last fifteen years has been a major scientific and environmental concern. Data from NOAA operational satellites have been extensively used to show the yearly development and dissipation of the ozone hole during the Southern Hemisphere springtime.

  6. Predicting Solar Generation from Weather Forecasts Using Machine Learning

    E-Print Network [OSTI]

    Shenoy, Prashant

    of smart grid initiatives is significantly increasing the fraction of grid energy contributed by renewables increase the penetration of environmentally-friendly renewable energy sources, such as solar and wind. For example, the Renewables Portfolio Standard targets up to 25% of energy generation from intermittent

  7. Model predicts space weather and protects satellite hardware

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete7 AssessmentBusinessAlternativeModel Verification

  8. Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems

    E-Print Network [OSTI]

    Nottrott, A.; Kleissl, J.; Washom, B.

    2013-01-01

    numerical weather prediction for intra-day solar forecastingSolar and Load Forecasts Real forecasts (e.g. from numerical weather prediction)

  9. Walker Branch Throughfall Displacement Experiment Data Report: Site Characterization, System Performance, Weather, Species Composition, and Growth

    SciTech Connect (OSTI)

    Hanson, P.J.

    2001-09-04

    This numeric data package provides data sets, and accompanying documentation, on site characterization, system performance, weather, species composition, and growth for the Throughfall Displacement Experiment, which was established in the Walker Branch Watershed of East Tennessee to provide data on the responses of forests to altered precipitation regimes. The specific data sets include soil water content and potential, coarse fraction of the soil profile, litter layer temperature, soil temperature, monthly weather, daily weather, hourly weather, species composition of trees and saplings, mature tree and sapling annual growth, and relative leaf area index. Fortran and SAS{trademark} access codes are provided to read the ASCII data files. The data files and this documentation are available without charge on a variety of media and via the Internet from the Carbon Dioxide Information Analysis Center (CDIAC).

  10. Characterization of the Weatherization Assistance Program network. Weatherization Assistance Program

    SciTech Connect (OSTI)

    Mihlmester, P.E.; Koehler, W.C. Jr.; Beyer, M.A.; Brown, M.A.; Beschen, D.A. Jr.

    1992-02-01

    The Characterization of the Weatherization Assistance Program (WAP) Network was designed to describe the national network of State and local agencies that provide WAP services to qualifying low-income households. The objective of this study was to profile the current WAP network. To achieve the objective, two national surveys were conducted: one survey collected data from 49 State WAP agencies (including the coterminous 48 States and the District of Columbia), and the second survey collected data from 920 (or 81 percent) of the local WAP agencies.

  11. Stormy Weather and Cluster Radio Galaxies

    E-Print Network [OSTI]

    J. O. Burns; C. Loken; K. Roettiger; E. Rizza; G. Bryan; M. L. Norman; P. Gomez; F. N. Owen

    1999-08-31

    New adaptive mesh refinement N-body + hydrodynamics numerical simulations are used to illustrate the complex and changing cluster environments in which many radio galaxies live and evolve. Groups and clusters of galaxies form at the intersections of filaments where they continue to accrete gas and dark matter to the present day. The accretion process produces shocks, turbulence, and transonic bulk flows forming a kind of stormy weather within the intracluster medium (ICM). Radio sources embedded within the stormy ICM form distorted, complex morphologies as observed in recent VLA cluster surveys. We show that the bending of wide-angle tailed radio sources can be understood as the result of recent cluster-subcluster mergers. We use new MHD simulations to illustrate how cluster radio halos can be formed by the shocks and turbulence produced during cluster mergers. Finally, we discuss new observations of distant Abell clusters that reveal a class of weak radio sources, probably starbursts, likely produced during the formation of the clusters as they accrete material from the supercluster environment.

  12. Weather | Princeton Plasma Physics Lab

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos and Videos/01/2012 Page| NationalWeather

  13. Five case studies of multifamily weatherization programs

    SciTech Connect (OSTI)

    Kinney, L; Wilson, T.; Lewis, G.; MacDonald, M.

    1997-12-31

    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.

  14. Building a new space weather facility at the National Observatory Ioannis Kontogiannis

    E-Print Network [OSTI]

    Anastasiadis, Anastasios

    Building a new space weather facility at the National Observatory of Athens Ioannis Kontogiannis) the operation of a small full-disk solar telescope to conduct regular observations of the Sun in the H of solar wind, and affecting the near- Earth space environment in numerous ways. Both flares and CMEs

  15. Extreme Weather Events and Climate Change

    Broader source: Energy.gov [DOE]

    The presentation will review known variability in extreme weather such as excessive heat, cold waves, floods, droughts, hurricanes, severe thunderstorms and tornadoes. Projections and uncertainties...

  16. Working With Weatherization Assistance Programs | Department...

    Energy Savers [EERE]

    Assistance Programs Working With Weatherization Assistance Programs Better Buildings Low Income Peer Exchange Call Featuring: Case study on integration of income-qualified...

  17. Maine Company Growing with Weatherization Work

    Broader source: Energy.gov [DOE]

    Maine's BIOSAFE Environmental Services expands into weatherization, assisting low-income families with their services and creating jobs as business grows.

  18. 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.

  19. Weatherization Assistance Available at Florida Pie Shop

    Office of Energy Efficiency and Renewable Energy (EERE)

    Pie in the Sky, a seemingly simple store that offers customers fresh-baked desserts, is providing a second treat: weatherization.

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

    SciTech Connect (OSTI)

    D&R International

    2001-10-10

    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.

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

    SciTech Connect (OSTI)

    D& R International

    2001-10-10

    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.

  2. Ocean-ice/oil-weathering computer program user's manual. Final report

    SciTech Connect (OSTI)

    Kirstein, B.E.; Redding, R.T.

    1987-10-01

    The ocean-ice/oil-weathering code is written in FORTRAN as a series of stand-alone subroutines that can easily be installed on most any computer. All of the trial-and-error routines, integration routines, and other special routines are written in the code so that nothing more than the normal system functions such as EXP are required. The code is user-interactive and requests input by prompting questions with suggested input. Therefore, the user can actually learn about the nature of crude oil and oil weathering by using this code. The ocean-ice oil-weathering model considers the following weathering processes: evaporation; dispersion (oil into water); moussee (water into oil); and spreading; These processes are used to predict the mass balance and composition of oil remaining in the slick as a function of time and environmental parameters.

  3. Namur, Belgium -weathering deteriorating slope stability future -Robert Hack 1 WEATHERING DETERIORATING

    E-Print Network [OSTI]

    Hack, Robert

    Namur, Belgium - weathering deteriorating slope stability future - Robert Hack 1 WEATHERING DETERIORATING AND SLOPE STABILITY CLASSIFICATION FOR THE FUTURE Namur, Belgium, 12 June 2008 Robert Hack Geo #12;Namur, Belgium - weathering deteriorating slope stability future - Robert Hack 2 Jan van Goyen

  4. Early View (EV): 1-EV Nice weather for bettongs: using weather events, not climate

    E-Print Network [OSTI]

    Turner, Monica G.

    distribution using temporally matched observations of the species with weather data (includ- ing extremeEarly View (EV): 1-EV Nice weather for bettongs: using weather events, not climate means applications of species distribution models (SDM) are typically static, in that they are based on correlations

  5. nown as the "Voice of NOAA's National Weather Service," NOAA Weather Radio (NWR) is

    E-Print Network [OSTI]

    and emergency information. Saving lives is the focus of NOAA Weather Radio All Hazards by providing round that could save your life and those in your family. Make NOAA Weather Radio an essential item for every home and businesses to help protect lives and property from natural and technological hazards. NOAA Weather Radio

  6. HMS Inclement Weather Policy FACULTY, STAFF AND STUDENTS

    E-Print Network [OSTI]

    Mootha, Vamsi K.

    HMS Inclement Weather Policy FACULTY, STAFF AND STUDENTS During a weather emergency or other inclement weather is that, short of a declared state of emergency, the School remains open. The teaching and research activities of HMS continue despite inclement weather. In such weather emergencies, however

  7. Asymptotically Optimal Prediction Regions David Olive

    E-Print Network [OSTI]

    Olive, David

    Prediction is done all of the time. Want to predict the weather, what investments will make money (for stocks the national debt will be next year (if every home owner sold their house and gave the money to the government is probably effective, but if you are told that you have 6 to 18 months to live, the standard treatment

  8. ADAPTIVE GRIDS IN WEATHER AND CLIMATE MODELING

    E-Print Network [OSTI]

    Jablonowski, Christiane

    ADAPTIVE GRIDS IN WEATHER AND CLIMATE MODELING by Christiane Jablonowski A dissertation submitted adaptive grid library that he wrote for his Ph.D. thesis in the Electrical Engineering and Computer Science as a postdoctoral researcher. In addition, thanks to Detlev Majewski from the German Weather Service DWD

  9. Integrating weather derivatives for managing risks

    SciTech Connect (OSTI)

    Bilski, B. [WeatherWise USA LLC, Pittsburgh, PA (United States)

    1999-11-01

    As deregulation and customer choice loom on the horizon, many energy utilities and other energy suppliers are scrambling to find new services that add value for consumers. Many are also seeking opportunities for increasing efficiency to ensure that costs remain competitive. Integrating weather derivatives with marketing programs and financial management can produce attractive new services and increase efficiency. Weather derivatives can be used to create innovative consumer services, such as a guaranteed annual energy bill which is unaffected by weather and energy price changes. They can also be used to protect the earnings of energy suppliers from one of their most significant financial risks, unpredictable weather. There are three basic types of weather derivatives available today. Option or insurance based derivatives (options), swaps or hedge based derivatives (swaps) and packages where other services are combined with one or both of the above.

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

    SciTech Connect (OSTI)

    Wiita, Joanne

    2013-07-30

    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.

  11. NREL RSF Weather Data 2011 - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. Data and Resources NREL RSF Weather Data 2011CSV Preview Download...

  12. Physiological responses of a black spruce forest to weather

    E-Print Network [OSTI]

    1997-01-01

    a black spruce forest to weather Michael L. Goulden, • Bruceresponses of the forest to weather. The annual rates ofgross forest CO 2 exchange to weather is required before the

  13. STDS08.COD: Climate Data from Weather Stations

    E-Print Network [OSTI]

    Whiting, John W. M.

    1986-01-01

    STDS08.COD: CLIMATE DATA FROM WEATHER STATIONS John W. M.84:279-298 (1982). The weather data are cited as coming fromFischer. Keywords: Climate. Weather. SCCS Codes. STDS08.CSV

  14. Combining Spatial Statistical and Ensemble Information in Probabilistic Weather Forecasts

    E-Print Network [OSTI]

    Raftery, Adrian

    Combining Spatial Statistical and Ensemble Information in Probabilistic Weather Forecasts VERONICA ensembles that generates calibrated probabilistic forecast products for weather quantities at indi- vidual perturbation (GOP) method, and extends BMA to generate calibrated probabilistic forecasts of whole weather

  15. GIS-BASED PREDICTION OF HURRICANE FLOOD INUNDATION

    SciTech Connect (OSTI)

    JUDI, DAVID; KALYANAPU, ALFRED; MCPHERSON, TIMOTHY; BERSCHEID, ALAN

    2007-01-17

    A simulation environment is being developed for the prediction and analysis of the inundation consequences for infrastructure systems from extreme flood events. This decision support architecture includes a GIS-based environment for model input development, simulation integration tools for meteorological, hydrologic, and infrastructure system models and damage assessment tools for infrastructure systems. The GIS-based environment processes digital elevation models (30-m from the USGS), land use/cover (30-m NLCD), stream networks from the National Hydrography Dataset (NHD) and soils data from the NRCS (STATSGO) to create stream network, subbasins, and cross-section shapefiles for drainage basins selected for analysis. Rainfall predictions are made by a numerical weather model and ingested in gridded format into the simulation environment. Runoff hydrographs are estimated using Green-Ampt infiltration excess runoff prediction and a 1D diffusive wave overland flow routing approach. The hydrographs are fed into the stream network and integrated in a dynamic wave routing module using the EPA's Storm Water Management Model (SWMM) to predict flood depth. The flood depths are then transformed into inundation maps and exported for damage assessment. Hydrologic/hydraulic results are presented for Tropical Storm Allison.

  16. Weatherization works: Final report of the National Weatherization Evaluation

    SciTech Connect (OSTI)

    Brown, M.A.; Berry, L.G.; Kinney, L.F.

    1994-09-01

    In 1990, the U.S. Department of Energy (DOE) sponsored a comprehensive evaluation of its Weatherization Assistance Program, the nation`s largest residential energy conservation program. Oak Ridge National Laboratory (ORNL) managed the five-part study. This document summarizes the findings of the evaluation. Its conclusions are based mainly on data from the 1989 program year (supplemented by data from 1991-92). The evaluation concludes that the Program meets the objectives of its enabling legislation and fulfills its mission statement. Specifically, it (1) saves energy, (2) lowers fuel bills, and (3) improves the health and safety of dwellings occupied by low-income people. In addition, the Program achieves its mission in a cost-effective manner based on each of three perspectives employed by the evaluators. Finally, the evaluation estimates that the investments made in 1989 will, over a 20-year lifetime, save the equivalent of 12 million barrels of oil, roughly the amount of oil added to the Strategic Petroleum Reserve in each of the past several years.

  17. Presentation at the Weatherization Program Deep Dive Briefing...

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

    Presentation at the Weatherization Program Deep Dive Briefing, November 4, 2009 Presentation at the Weatherization Program Deep Dive Briefing, November 4, 2009 U.S. Department of...

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

    Office of Environmental Management (EM)

    On Weather-Dependent and Oceanic Renewable Energy Resources Memorandum of Understanding On Weather-Dependent and Oceanic Renewable Energy Resources Memorandum of Understanding On...

  19. Protecting the Electric Grid from Increasingly Severe Weather...

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

    Protecting the Electric Grid from Increasingly Severe Weather Due to Climate Change Protecting the Electric Grid from Increasingly Severe Weather Due to Climate Change August 12,...

  20. How the Weatherization Assistance Program Changed Jasmine's Life...

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

    How the Weatherization Assistance Program Changed Jasmine's Life How the Weatherization Assistance Program Changed Jasmine's Life February 19, 2015 - 4:45pm Addthis The Rocky...

  1. Getting It Right: Weatherization and Energy Efficiency Are Good...

    Office of Environmental Management (EM)

    Getting It Right: Weatherization and Energy Efficiency Are Good Investments Getting It Right: Weatherization and Energy Efficiency Are Good Investments August 10, 2015 - 4:30pm...

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

    Energy Savers [EERE]

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

  3. Improving Energy Efficiency and Creating Jobs Through Weatherization...

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

    Improving Energy Efficiency and Creating Jobs Through Weatherization Improving Energy Efficiency and Creating Jobs Through Weatherization December 9, 2013 - 12:00am Addthis Since...

  4. NUMERICAL SIMULATION OF AIR POLLUTION DYNAMICS DUE TO

    E-Print Network [OSTI]

    Olszewski Jr., Edward A.

    spots. ­ Global weather patterns effected. ­ CO2 and other pollutant emissions contributing to globalNUMERICAL SIMULATION OF AIR POLLUTION DYNAMICS DUE TO POINT SOURCE EMISSIONS FROM AN INDUSTRIAL, and ultimately effects the global climate balance. · About 60% of emissions from point sources · Major pollutants

  5. Numerical Modeling of Eastern Connecticut's Visual Resources1

    E-Print Network [OSTI]

    Numerical Modeling of Eastern Connecticut's Visual Resources1 Daniel L. Civco 2/ l Submitted Conservation, The University of Connecticut, Storrs, Connecticut. / Abstract: A numerical model capable of accurately predicting the preference for landscape photographs of selected points in eastern Connecticut

  6. Regional weather modeling on parallel computers.

    SciTech Connect (OSTI)

    Baillie, C.; Michalakes, J.; Skalin, R.; Mathematics and Computer Science; NOAA Forecast Systems Lab.; Norwegian Meteorological Inst.

    1997-01-01

    This special issue on 'regional weather models' complements the October 1995 special issue on 'climate and weather modeling', which focused on global models. In this introduction we review the similarities and differences between regional and global atmospheric models. Next, the structure of regional models is described and we consider how the basic algorithms applied in these models influence the parallelization strategy. Finally, we give a brief overview of the eight articles in this issue and discuss some remaining challenges in the area of adapting regional weather models to parallel computers.

  7. Abiotic: water !, Soil, Sunlight, wind, air, weather,

    E-Print Network [OSTI]

    Lawrence, Deborah

    Generate power: Hydro-electric power Biodiversity change or loss Invasive species Organism interactions, food webs Power, recreation, drinking, agriculture, irrigation, aesthetics, housing, industry, food, Habitat? Climate/Weather Flood control Water diversion- dam Geologic Processes Create power

  8. Idaho Falls Power- Residential Weatherization Loan Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    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 energy...

  9. The Weatherization Training program at Pennsylvania College

    ScienceCinema (OSTI)

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

    2013-05-29

    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.

  10. The Weatherization Training program at Pennsylvania College

    SciTech Connect (OSTI)

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

    2010-01-01

    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.

  11. The Weatherization Training program at Pennsylvania College

    Broader source: Energy.gov [DOE]

    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...

  12. Illinois and Texas Towns See Weatherization Boost

    Broader source: Energy.gov [DOE]

    “It cropped about a hundred bucks off my bill in the cold, cold winter,” says Springfield resident Donald Dagget, a 78-year-old retired beauty salon owner who had his 1937, two-bedroom bungalow weatherized in October.

  13. Data Network Weather Service Reporting - Final Report

    SciTech Connect (OSTI)

    Michael Frey

    2012-08-30

    A final report is made of a three-year effort to develop a new forecasting paradigm for computer network performance. This effort was made in co-ordination with Fermi Lab's construction of e-Weather Center.

  14. National Ignition Facility wet weather construction plan

    SciTech Connect (OSTI)

    Kugler, A N

    1998-01-01

    This report presents a wet weather construction plan for the National Ignition Facility (NIF) construction project. Construction of the NIF commenced in mid- 1997, and excavation of the site was completed in the fall. Preparations for placing concrete foundations began in the fall, and above normal rainfall is expected over the tinter. Heavy rainfall in late November impacted foundation construction, and a wet weather construction plan was determined to be needed. This wet weather constiction plan recommends a strategy, techniques and management practices to prepare and protect the site corn wet weather effects and allow construction work to proceed. It is intended that information in this plan be incorporated in the Stormwater Pollution Prevention Plan (SWPPP) as warranted.

  15. 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...

  16. Ohio Celebrates Recovery Act Weatherization Program Performance...

    Energy Savers [EERE]

    to work, but ... here in Ohio, we are positioning ourselves to be at the front of this wave of the new energy economy." The Carrs' home was weatherized by LEADS Community Action...

  17. Prediction and Management in Energy Harvested Wireless Sensor Nodes

    E-Print Network [OSTI]

    Simunic, Tajana

    present a fast, efficient and reliable solar prediction algorithm, namely, Weather-Conditioned Moving-Conditioned Moving Average (WCMA), a novel accurate yet very low overhead, solar energy prediction algorithm basedPrediction and Management in Energy Harvested Wireless Sensor Nodes Joaqu´in Recas Piorno, Carlo

  18. Human-Centered Systems Analysis of Aircraft Separation from Adverse Weather

    E-Print Network [OSTI]

    Vigeant-Langlois, Laurence

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

  19. HELIOPHYSICS V. SPACE WEATHER AND SOCIETY

    E-Print Network [OSTI]

    Schrijver, Karel

    on the electric power grid 74 David Boteler 4.1 Introduction 74 4.2 Cause of power system problems 75 4.3 Magnetic on transformers 87 4.7 System impacts 88 4.8 Hazard assessment 91 4.9 Space weather forecasting for power grids 93HELIOPHYSICS V. SPACE WEATHER AND SOCIETY Early chapter collection v. January 5, 2015 http

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

    E-Print Network [OSTI]

    Bronson, John Douglas

    1992-01-01

    CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1992 Major Subject: Mechanical Engineering CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Approved as to style and content by: M D~c Dennis...

  1. The scope of the Weatherization Assistance Program: The weatherized population and the resource base

    SciTech Connect (OSTI)

    Power, M.; Eisenberg, J.F.; Michels, E. (Economic Opportunity Research Inst., Washington, DC (United States)); Witherspoon, M.J. (National Association for State Community Service Programs, Washington, DC (United States)); Brown, M.A. (Oak Ridge National Lab., TN (United States))

    1992-05-01

    This study is one of five parts of the US Department of Energy's national evaluation of its Weatherization Assistance Program (WAP). It has three major goals: (1) to enumerate the size and sources of investment in low-income weatherization; (2) to provide a count of the number of low-income units weatherized by all weatherization programs and characterized the type and tenure of those homes; and (3) to document the extent to which the DOE/WAP funding has been expanded though use of external resources.

  2. The scope of the Weatherization Assistance Program: The weatherized population and the resource base

    SciTech Connect (OSTI)

    Power, M.; Eisenberg, J.F.; Michels, E. [Economic Opportunity Research Inst., Washington, DC (United States); Witherspoon, M.J. [National Association for State Community Service Programs, Washington, DC (United States); Brown, M.A. [Oak Ridge National Lab., TN (United States)

    1992-05-01

    This study is one of five parts of the US Department of Energy`s national evaluation of its Weatherization Assistance Program (WAP). It has three major goals: (1) to enumerate the size and sources of investment in low-income weatherization; (2) to provide a count of the number of low-income units weatherized by all weatherization programs and characterized the type and tenure of those homes; and (3) to document the extent to which the DOE/WAP funding has been expanded though use of external resources.

  3. A resampling procedure for generating conditioned daily weather Martyn P. Clark,1

    E-Print Network [OSTI]

    Balaji, Rajagopalan

    A resampling procedure for generating conditioned daily weather sequences Martyn P. Clark,1 the observed spatial (intersite) and temporal correlation statistics. The weather generator model is applied weather sequence. The weather generator model is extended to produce sequences of weather

  4. Faces of the Recovery Act: National Weatherization Conference

    ScienceCinema (OSTI)

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

    2013-05-29

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

  5. Weatherization Plus — Opportunities for the 21st Century

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  6. Faces of the Recovery Act: National Weatherization Conference

    ScienceCinema (OSTI)

    None

    2010-09-01

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

  7. -A Science Service Feature WHY THE WEATHER 7

    E-Print Network [OSTI]

    NO. 382 Aug. 1 -A Science Service Feature WHY THE WEATHER 7 By Dr. Charles F, Brooks of Clark University AVERAGE AUGUST WEATDR A Weather Bureau summary says of August weather: "The average *'` is `lieht of the ROCW Mountains the weather usually occurs i n the upper Lake region and the Northeastern States where

  8. UNDERSTANDING SEVERE WEATHER PROCESSES THROUGH SPATIOTEMPORAL RELATIONAL RANDOM FORESTS

    E-Print Network [OSTI]

    McGovern, Amy

    UNDERSTANDING SEVERE WEATHER PROCESSES THROUGH SPATIOTEMPORAL RELATIONAL RANDOM FORESTS AMY, JEFFREY BASARA5, AND JOHN K. WILLIAMS6 Abstract. Major severe weather events can cause a significant loss through the mining of severe weather data. Because weather is inherently a spatiotemporal phenomenon

  9. Office of Evaluation and Testing If the weather is bad...

    E-Print Network [OSTI]

    Sun, Yi

    Office of Evaluation and Testing If the weather is bad... Don't risk it If the weather conditions or to make other arrangements For steps to schedule or reschedule your test click here>>. Check for weather related closings If inclement weather makes it necessary to close the College, announcements will be made

  10. 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.

  11. 1 | P a g e Calendar Weather Options

    E-Print Network [OSTI]

    Calgary, University of

    1 | P a g e July 2013 Calendar Weather Options Outlook 2013 Outlook 2013 uses a plug-in which provides weather data in the Calendar. The following instructions enable you to modify the weather settings for your calendar. Turn Weather On/Off 1. Click or touch File 2. Click or touch Options 3. Select Calendar

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

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    DB. Weather data for building performance simulation.forecast models, weather data, and building prototypes havethe TMY3 weather data in building simulations to evaluate

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

    SciTech Connect (OSTI)

    Morrison, PI Hugh

    2012-09-21

    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).

  14. THE WEATHER An unusually persistent and moist weather pattern led to rainfall totals from September 9th -15th

    E-Print Network [OSTI]

    THE WEATHER An unusually persistent and moist weather pattern led to rainfall totals from September of an unusually deep, moist flow and a stationary weather pattern that consistently focused that moisture towards weather station (since 1893) set new records for 1-day (9.08"), 2-day (11.52") and 7-day (16.9") totals

  15. Implementation of the Immersed Boundary Method in the Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, K A

    2006-12-07

    Accurate simulations of atmospheric boundary layer flow are vital for predicting dispersion of contaminant releases, particularly in densely populated urban regions where first responders must react within minutes and the consequences of forecast errors are potentially disastrous. Current mesoscale models do not account for urban effects, and conversely urban scale models do not account for mesoscale weather features or atmospheric physics. The ultimate goal of this research is to develop and implement an immersed boundary method (IBM) along with a surface roughness parameterization into the mesoscale Weather Research and Forecasting (WRF) model. IBM will be used in WRF to represent the complex boundary conditions imposed by urban landscapes, while still including forcing from regional weather patterns and atmospheric physics. This document details preliminary results of this research, including the details of three distinct implementations of the immersed boundary method. Results for the three methods are presented for the case of a rotation influenced neutral atmospheric boundary layer over flat terrain.

  16. Weatherization and Intergovernmental Program - Portal to New Jobs in Home Weatherization (Green Jobs)

    SciTech Connect (OSTI)

    2010-04-01

    Expanding training opportunities in the weatherization of buildings will accelerate learning and provide a direct path for many Americans to find jobs in the clean energy field. The National Weatherization Training Portal (NWTP), which is now in the final stages of testing, features multi-media, interactive, self-paced training modules.

  17. Weatherization and Indoor Air Quality: Measured Impacts in Single Family Homes Under the Weatherization Assistance Program

    SciTech Connect (OSTI)

    Pigg, Scott; Cautley, Dan; Francisco, Paul; Hawkins, Beth A; Brennan, Terry M

    2014-09-01

    This report summarizes findings from a national field study of indoor air quality parameters in homes treated under the Weatherization Assistance Program (WAP). The study involved testing and monitoring in 514 single-family homes (including mobile homes) located in 35 states and served by 88 local weatherization agencies.

  18. Evaluation plan for the Weatherization Assistance Program

    SciTech Connect (OSTI)

    Beschen, D.A. (USDOE, Washington, DC (United States)); Brown, M.A. (Oak Ridge National Lab., TN (United States))

    1991-08-01

    The most recent national evaluation of the impacts of the US Department of Energy (DOE)'s Weatherization Assistance Program (WAP) was completed in 1984 based on consumption data for households weatherized in 1981. WAP regulations and operations have changed substantially over the last decade, and new opportunities are on the horizon. DOE recognizes the need for a more current national level evaluation of the program and has developed a plan for conducting the evaluation with the support of the Oak Ridge National Laboratory (ORNL). The national WAP evaluation as currently proposed has seven major goals: (1) estimate the energy saved by the program -- one, two, and three years after participation; (2) assess nonenergy impacts, such as comfort, safety, and housing affordability; (3) assess program cost effectiveness; (4) analyze factors which influence energy savings, nonenergy impacts, and cost effectiveness; (5) describe the WAP network's capabilities and the innovative weatherization technologies and procedures it has employed; (6) characterize the WAP-eligible population and the federal and non-federal funds that haven been used to meet its weatherization needs; and, (7) identify promising WAP opportunities for the future. The data collection, analyses, and reports are to be completed in phases between 1991 and 1993. The evaluation methodologies vary by fuel type, housing type, and climate zone. The analysis of energy savings and cost effectiveness will be based primarily on weather-normalized, retrospective utility billing records (collected for pre- and postretrofit years). 12 refs., 8 figs.

  19. Control of Regional and Global Weather

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-09

    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.

  20. Vulnerability and adaptation to severe weather events in the American southwest

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

    Boero, Riccardo; Bianchini, Laura; Pasqualini, Donatella

    2015-05-04

    Climate change can induce changes in the frequency of severe weather events representing a threat to socio-economic development. It is thus of uttermost importance to understand how the vulnerability to the weather of local communities is determined and how adaptation public policies can be effectively put in place. We focused our empirical analysis on the American Southwest. Results show that, consistently with the predictions of an investment model, economic characteristics signaling local economic growth in the near future decrease the level of vulnerability. We also show that federal governments transfers and grants neither work to support recovery from and adaptationmore »to weather events nor to distribute their costs over a broader tax base. Finally, we show that communities relying on municipal bonds to finance adaptation and recovery policies can benefit from local acknowledgment of the need for such policies and that they do not have to pay lenders a premium for the risk induced by weather events. In conclusion, our findings suggest that determinants of economic growth support lower vulnerability to the weather and increase options for financing adaptation and recovery policies, but also that only some communities are likely to benefit from those processes.« less

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

    SciTech Connect (OSTI)

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

    2012-10-01

    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.

  2. Healthy Housing Opportunities During Weatherization Work

    SciTech Connect (OSTI)

    Wilson, J.; Tohn, E.

    2011-03-01

    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.

  3. 1990 Weatherization Assistance Program monitoring. Final report

    SciTech Connect (OSTI)

    Samuels, L.S.

    1992-06-19

    The fiscal year 1990 DOE weatherization programs were monitored in Indiana, Ohio, and Wisconsin. The focus of the monitoring was on a total of 18 subgrantees. Separate reports on the monitoring completed on each site was submitted as well as the final summary report for each state. The scope of monitoring consisted of a review of current contracts, budgets, program operating procedures, staffing, inventory control, financial and procurement procedures, review of client files and audit reports, inspection of completed dwelling units and assessment of monitoring, training, and technical assistance provided by the grantees. A random sampling of completed units were selected and visits were made to inspect these weatherized dwellings.

  4. Design and Development of Dual Polarized, Stacked Patch Antenna Element for S-Band Dual-Pol Weather Radar Array

    E-Print Network [OSTI]

    Bhardwaj, Shubhendu

    2012-01-01

    in Weather Detection . . . . . . . . . . . . . . . . . .for S-Band Weather Radar . . . . . . . . . . . . . Dual-polpatterns of polarimetric weather radars,” Journal of

  5. The Economic Impacts of Climate Change: Evidence from Agricultural Profits and Random Fluctuations in Weather

    E-Print Network [OSTI]

    Deschenes, Olivier; Greenstone, Michael

    2004-01-01

    Random Fluctuations in Weather* Olivier Deschenes Universityfor generously generating the weather data. GreenstoneRandom Fluctuations in Weather ABSTRACT This paper measures

  6. Demand relief and weather sensitivity in large California commercial office buildings

    E-Print Network [OSTI]

    Kinney, Satkartar; Piette, Mary Ann; Gu, Lixing; Haves, Philip

    2001-01-01

    TX Demand Relief and Weather Sensitivity in Large California76SF00098. Demand Relief and Weather Sensitivity in Largeof research has examined the weather sensitivity of energy

  7. Three Essays on the Impact of Climate Change and Weather Extremes on the United States' Agriculture

    E-Print Network [OSTI]

    Le, Phu Viet

    2013-01-01

    and Cumulative Damages of Weather Disasters in 1980-2003 •and Cumulative Damages of Weather Disasters in 1980-2003.Random Fluctuations in Weather”, American Economic Review,

  8. Generating day-of-operation probabilistic capacity scenarios from weather forecasts

    E-Print Network [OSTI]

    Buxi, Gurkaran

    2012-01-01

    user needs for convective weather forecasts," in AmericanJ. Andrews M. Weber, "Weather Information Requirements forInt. Conf. on Aviation Weather, Paris, France. [5] NASDAC. (

  9. The Economic Impacts of Climate Change: Evidence from Agricultural Profits and Random Fluctuations in Weather

    E-Print Network [OSTI]

    Deschenes, Olivier; Greenstone, Michael

    2007-01-01

    Coefficient,” Monthly Weather Review, 94(7), 461-465. UnitedRandom Fluctuations in Weather Olivier Deschênes and MichaelRandom Fluctuations in Weather* Olivier Deschênes University

  10. Analysis of Wet Weather Related Collision Concentration Locations: Empirical Assessment of Continuous Risk Profile

    E-Print Network [OSTI]

    Oh, Soonmi; Chung, Koohong; Ragland, David R; Chan, Ching-Yao

    2009-01-01

    Analysis of Wet Weather Related Collision ConcentrationThe CRP plot displays wet weather related collision profilefactors responsible for wet weather related collisions is

  11. Effects of Weather Variables on Pedestrian Volumes in Alameda County, California

    E-Print Network [OSTI]

    Attaset, Vanvisa; Schneider, Robert J.; Arnold, Lindsay S.; Ragland, David R

    2010-01-01

    Telegraph Avenue  Weather Station  Oakland Foothills Oakland Foothills  Several weather variables were derivedCombined Pedestrian Count and Weather Condition Database The

  12. Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US

    E-Print Network [OSTI]

    Deschênes, Olivier; Greenstone, Michael

    2007-01-01

    Random Fluctuations in Weather. ” American Economic Review,Enrico Moretti. 2007. “Extreme Weather Events, Mortality andof the Relation between Weather and Electricity Sales.

  13. Southern Mildew Problems: Weather and Psychrometrics 

    E-Print Network [OSTI]

    Peart, V.

    1989-01-01

    in their homes and the amount of dehumidification they are getting with their air conditioning . Recognizing the contribution of misture from outside the home led to the incorporation of psychrometrics and weather data into tables and graphs to assess the latent...

  14. Portland Bike History Weather Prophet Pague,

    E-Print Network [OSTI]

    Bertini, Robert L.

    Portland Bike History Weather Prophet Pague, Governor Geer, & Portland's First Bicycle Paths Eric, as a trooper is bred to his horse. From dawn till dark she lives in the saddle. Whatever be her errand, she, and bowls home again, serene tranquil, content. Since bicycles came to Portland, not to play with

  15. Friday December 28, 2012 | Houston Weather

    E-Print Network [OSTI]

    Toback, David

    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

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

    E-Print Network [OSTI]

    David, Mathieu; Garde, Francois; Boyer, Harry

    2014-01-01

    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...

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

    E-Print Network [OSTI]

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

    1994-01-01

    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...

  18. Weather and emotional state: a search for associations between weather and calls to telephone counseling services 

    E-Print Network [OSTI]

    Stillman, Daniel Noah

    2000-01-01

    Calls to four telephone counseling services, or "hotlines", each serving communities in a major metropolitan area of the United States (Detroit, Washington DC, Dallas and Seattle), were analyzed for influence from daily weather. Associations...

  19. The Space-Weather Awareness Dialogue: Findings and Outlook

    E-Print Network [OSTI]

    Schrijver, Karel

    The Space-Weather Awareness Dialogue: Findings and Outlook An event hosted by the European-WEATHER AWARENESS DIALOGUE: FINDINGS AND OUTLOOK An event hosted by the European Commission's Joint Research Centre

  20. Weather Effects on European Agricultural Output 1850-1913

    E-Print Network [OSTI]

    Solomou, Solomos; Wu, Weike

    2004-06-16

    This paper compares the effects of weather shocks on agricultural production in Britain, France and Germany during the late nineteenth century. Using semi- parametric models to estimate the non-linear agro-weather relationship, we find...

  1. EAC Meeting Cancelled Due to Weather | Department of Energy

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

    EAC Meeting Cancelled Due to Weather EAC Meeting Cancelled Due to Weather March 5, 2013 - 3:06pm Addthis This week's Electricity Advisory Committee (EAC) meeting has been cancelled...

  2. Weather conditions affecting VTOL airbus operations in the Northeast Corridor

    E-Print Network [OSTI]

    Simpson, R. W.

    1966-01-01

    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 ...

  3. Modeling Weather Impact on a Secondary Electrical Grid

    E-Print Network [OSTI]

    Wang, Dingquan

    Weather can cause problems for underground electrical grids by increasing the probability of serious “manhole events” such as fires and explosions. In this work, we compare a model that incorporates weather features ...

  4. EERE Celebrates Completion of 1 Million Weatherized American...

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

    more than 7 million homes since the start of the Weatherization Assistance Program in 1976. Every home weatherized saves a family up to 400 a year on heating and cooling costs....

  5. 9 science Service Feature 1 WHY THE WEATHER ?

    E-Print Network [OSTI]

    9 science Service Feature 1 WHY THE WEATHER ? Dr, Charles I?, Brooks, of Clark TJniversity, -&A of being the ''hailiest" Weather Bureau station i n the United States. storms, but only 10 per cent

  6. A, Science Service Feature ? V.%Y THE WEATHER ?

    E-Print Network [OSTI]

    A, Science Service Feature ? V.%Y THE WEATHER ? Dr. Charles F. BrQoks, discusses: Secretary, American Meteorological Society HJW HOT IS IT? In extreme hot weather we find some solace in comparing t h

  7. -A Science Service Foature 7 WHY THT WEATHER 7

    E-Print Network [OSTI]

    No. 299 April 26 -A Science Service Foature 7 WHY THT WEATHER 7 D r . Charlcs E'. Brooks, ._discusses: of Clark Univorsity, -AF'RIL SHOVES The reputation of April. for changeable ,and showery weather

  8. A Science Service Feature 'I ,\\WY THE WEATHER ?

    E-Print Network [OSTI]

    mo. .L73 Dec. 1 A Science Service Feature 'I ,\\WY THE WEATHER ? Dr. Charles F. Bbooks, Secretary temperatures occasionally Occur. me weather Bureau's low record for the month is 50 below zero i n north

  9. -A Science Service Feature 7 WHY TIIE WEATHER 7

    E-Print Network [OSTI]

    No. 338 June 11 -A Science Service Feature 7 WHY TIIE WEATHER 7 Dr. Charles F. Brooks, of Clark ocean temperatures, and dry, cold weather - i n short they fee* that 1924 may be like the famous 1816, I

  10. c -A Science Service Feature 7 WHY THE WEATHER p

    E-Print Network [OSTI]

    NO, 381 July 31 c -A Science Service Feature 7 WHY THE WEATHER p By Dr. Charles F. Brooks of Clark August Weather) , A l l rights reserved by Science Service 9cience Service, B and 21st Sts., Washington

  11. Cointegration of the Daily Electric Power System Load and the Weather

    E-Print Network [OSTI]

    Stefanov, Stefan Z

    2007-01-01

    The paper examines the cointegration of the daily electric power system load and the weather by a field intelligent system. The daily load has been modelled by dynamic regressions. A "Daily Artificial Dispather" thermal intelligent system has been costructed. Time and energy tests have been obtained for this intelligent system. The improvement in the daily load forecast, achieved by this intelligent system, has been obtained. The predicted daily electricity price has been found.

  12. WPN 16-1: Program Year 2016 Weatherization Grant Guidance

    Broader source: Energy.gov [DOE]

    To issue grant guidance and management information for the Weatherization Assistance Program (WAP) for Program Year (PY) 2016.

  13. WPN 14-1: Program Year 2014 Weatherization Grant Guidance

    Office of Energy Efficiency and Renewable Energy (EERE)

    To issue grant guidance and management information for the Weatherization Assistance Program (WAP) for Program Year (PY) 2014.

  14. WPN 13-1: Program Year 2013 Weatherization Grant Guidance

    Office of Energy Efficiency and Renewable Energy (EERE)

    To issue grant guidance and management information for the Weatherization Assistance Program (WAP) for Program Year (PY) 2013.

  15. Solar Ramping Distributions over Multiple Timescales and Weather Patterns (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Hummon, M.; Orwig, K.

    2011-10-01

    This presentation offers new data and statistical analysis of ramping, solar power, and weather patterns in operational systems.

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

    Broader source: Energy.gov [DOE]

    Weatherization services are cost-effective, energy efficiency emasures for existing residential and multifamily housing with income-eligible residents.

  17. Utility-Based Pricing of the Weather Derivatives Hlne Hamisultane *

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ;1. Introduction Weather impacts many sectors of the economy such as agriculture, construction, tourism and energy), in 1999. Weather derivatives are financial instruments based on a weather index. They give a payment 0 equal to the cost of the hedging portfolio at time 0. Mathematically, this price corresponds

  18. Impacts of Severe Space Weather on the Electric Grid

    E-Print Network [OSTI]

    Schrijver, Karel

    Impacts of Severe Space Weather on the Electric Grid JASON The MITRE Corporation 7515 Colshire. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Impacts of Severe Space Weather on the Electric Grid 5b. GRANT on the impact of space weather on the electric grid, seeking to understand 1) the current status of solar

  19. Adaptive Grids for Weather and Climate Models C. Jablonowski

    E-Print Network [OSTI]

    Stout, Quentin F.

    Adaptive Grids for Weather and Climate Models C. Jablonowski National Center for Atmospheric have been discussed in the literature. Nested-grid approaches are widely used at National Weather.: ADAPTIVE GRIDS FOR WEATHER AND CLIMATE MODELS two grids coincide. Other variable-resolution models

  20. Heuristics for Robust Resource Allocation of Satellite Weather Data Processing

    E-Print Network [OSTI]

    Maciejewski, Anthony A. "Tony"

    --This work considers the satellite data processing portion of a space-based weather monitoring systemHeuristics for Robust Resource Allocation of Satellite Weather Data Processing on a Heterogeneous INTRODUCTION THE space-based weather monitoring system considered in this work consists of two major components

  1. Reconfigurable Data Acquisition System for Weather Radar Applications

    E-Print Network [OSTI]

    Tessier, Russell

    Reconfigurable Data Acquisition System for Weather Radar Applications Rishi Khasgiwale, Luko Krnan-speed data acquisition and processing. Weather-processing systems need to be capable of im- plementing and distribution system for weather radar applications that meets these needs is described in this paper. This FPGA-based

  2. Ornithology Based on Linking Bird Observations with Weather Data

    E-Print Network [OSTI]

    Hyvönen, Eero

    Ornithology Based on Linking Bird Observations with Weather Data Mikko Koho1,2 , Eero Hyv¨onen2 [12]. By combining observa- tional data with related datasets, such as weather or pollution data a use case of adding value to a bird observation dataset by related weather data and a species ontology

  3. A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events

    E-Print Network [OSTI]

    Ding, Wei

    . Frequent pattern-based data representations have been used in various studies for abstracting climaticA Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events Dawei Wang, Wei@cs.umb.edu Abstract--Extreme weather events, like extreme rainfalls, are severe weather hazards and also the triggers

  4. The Role of "Citizen Science" in Weather and Climate Research

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    stations to help document Climate resources of the country And provide science-based weather forecasts by volunteers to see their data put to use. #12;Weather reports began on Pikes Peak in 1873 Credit: NOAA Photo weather and climate data were simple ­ Determining the "climate resource" of our country -- specifically

  5. AIAA-2001-4232 Severe Weather Avoidance Using Informed

    E-Print Network [OSTI]

    Valasek, John

    AIAA-2001-4232 Severe Weather Avoidance Using Informed Heuristic Search S. Bokadia and J. Valasek, Suite 500, Reston, VA, 20191-4344. #12;AIAA 2001-4232 SEVERE WEATHER AVOIDANCE USING INFORMED HEURISTIC airport's terminal space3 . But an important issue in free flight is the safety of an airplane. Weather

  6. FAYETTEVILLE POLICIES AND PROCEDURES 211.0 Weather Emergency Procedure

    E-Print Network [OSTI]

    Capogna, Luca

    1 FAYETTEVILLE POLICIES AND PROCEDURES 211.0 Weather Emergency Procedure General Procedures of the campus community. The university's procedures for responding to inclement weather events necessarily apply whatever time of day or night these events occur. The university may respond to inclement weather

  7. Environmental Physics Group Newsletter September 2013 Weather and Climate Modelling

    E-Print Network [OSTI]

    Williams, Paul

    Environmental Physics Group Newsletter September 2013 9 Weather and Climate Modelling Imperial and the Grantham Institute for Climate Change A half-day meeting on the topic of 'Should weather and climate increasingly common to represent subgrid-scale features in weather and climate models by including random noise

  8. Fort Collins CSU Campus Weather Station Commemoration and Open House

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Fort Collins CSU Campus Weather Station Commemoration and Open House Please join us in celebrating the fascinating history and important scientific contributions of the Campus Weather Station to Colorado State, July 28, 2014 from 3 - 6 p.m. with remarks at 3:30 p.m. At the Campus Weather Station*** Community Open

  9. ForPeerReview Verification of Mountain Weather Information Service

    E-Print Network [OSTI]

    Birch, Cathryn

    ForPeerReview Verification of Mountain Weather Information Service forecasts for three upland areas in the UK Journal: Weather Manuscript ID: WEA-13-0098.R1 Wiley - Manuscript type: Research Article Date and Environment Birch, Cathryn; University of Leeds, School of Earth and Environment Monk, Geoffrey; The Weather

  10. ECE/METR6613 Title: Weather Radar Polarimetry

    E-Print Network [OSTI]

    Zhang, Guifu

    ECE/METR6613 Title: Weather Radar Polarimetry (Wave Interactions with Geophysical Media) Class: 2 and Weather Observations, 2006, 1993, 1984 · Reference books 1. Akira Ishimaru: Wave Propagation and Scattering in Random Media, 1997, 1978 2. V. N. Bringi and V. Chandrasekar: Polarimetric Doppler Weather

  11. 200,000 homes weatherized under the Recovery Act

    ScienceCinema (OSTI)

    Zoi, Cathy

    2013-05-29

    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

  12. A Scieacc Service Feature p WHY THE WEATHER ?

    E-Print Network [OSTI]

    NO, 546 Feb. 9 A Scieacc Service Feature p WHY THE WEATHER ? - -- By Cr. Charles F , Brooks of Clark Univarsity,,, DOUCET DoucBt, Quebec, El weather s t a t i o n t h a t only recently began reporting t o the U. S, Weather Bureau, is EL new cold wave guardian f o r the northeastern United States

  13. -A Science Service Feature ? M Y THE WEATHER ?

    E-Print Network [OSTI]

    No. 507 Dec. 25 -A Science Service Feature ? M Y THE WEATHER ? By D r , Charles F. Brooks of Clark as weather vanes, Fhat do the different mind directions c o l ~ o n l y indicate? Throughout most of the United States our general f a i r weather Finds are ivesterly, i n sumaer sovhhmssterly, except

  14. -A Science Service Feature WHY THE WEATHER 1

    E-Print Network [OSTI]

    No. 377 July 26 -A Science Service Feature WHY THE WEATHER 1 Dr. Charles F. Brooks, of Clark University, describe$1 TH?l RAIN TREE Prof. C. F. Talman, of the U. S, Weather Bureau, t e l l s the story considerable quantities, This process, "guttation", Occurs chiefly at night, or i n cloudy fir foggy weather, i

  15. U .S Weather Bureau. preliminary reports with advisories and

    E-Print Network [OSTI]

    U .S Weather Bureau. preliminary reports with advisories and bulletins issued. Hurricane Isbell, October 12-16, 1961,j #12;; '-. U.S. DEPARTMENT OF COMMERCE (LI,8.WEATHER BUREAU r* :.*I ~ H U R R I C A N;National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series ERRATA NOTICE One or more

  16. A Science Service Feature...------* ? "Y THE WEATHER 7

    E-Print Network [OSTI]

    A Science Service Feature...------* ? "Y THE WEATHER 7 By Dr. Charles F. Brooks of Clark University. "FULL MOON EATS CLOUDS" Although the moon has no established direct effect on the weather, several old regarding the moon and the weather have meteorological significance. One 0.' them, "the full moon eats

  17. -A Science. Service Feature 1 WHY THE WEATHER 1

    E-Print Network [OSTI]

    No. 340 June 13 -A Science. Service Feature 1 WHY THE WEATHER 1 Dr, Charles F. Brooks, of Clark University, says: In summer, the cloudy, rainy weather i s typically cooler than the clear, sunny spells. the coldest weather, mhile "lows11 are relatively warm, of W Particular day can be thmght of as dependent

  18. S. Lovejoy McGill, Montreal The weather and

    E-Print Network [OSTI]

    Lovejoy, Shaun

    S. Lovejoy McGill, Montreal The weather and climate as problems in physics: scale invariance and multifractals McGill April 13, 2012 #12;The Weather and Climate Emergent Laws and Multifractal Cascades SHAUN LOVEJOY and DANIEL SCHERTZER (in press, Oct. 2012) Required reading for this course #12;The Weather 3 #12

  19. Page 1 of 3 Policy: Cold Weather Policy

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Page 1 of 3 Policy: Cold Weather Policy Responsible Party: Director, Safety and Risk Management The Office of Safety and Risk Management (SRM) at Montana State University (MSU) has developed a cold weather and infrastructure resulting from periods of cold and snowy weather. 200.00 TRIGGER POINTS Trigger points have been

  20. FAYETTEVILLE POLICIES AND PROCEDURES 210.0 Inclement Weather Policy

    E-Print Network [OSTI]

    Capogna, Luca

    1 FAYETTEVILLE POLICIES AND PROCEDURES 210.0 Inclement Weather Policy General Considerations: In the event of inclement weather, the University recognizes the need to address how such conditions may affect weather conditions. In general, the University must continue certain operations during periods

  1. Policy on adverse weather conditions affecting Higher Education Review visits

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    Policy on adverse weather conditions affecting Higher Education Review visits This policy entered into owing to adverse weather conditions will be by mutual agreement of QAA and the provider. Attendance at the review visit by the QAA officer If adverse weather conditions prevent, or appear likely

  2. Version Date: December 22, 2014 National Weather Service

    E-Print Network [OSTI]

    Version Date: December 22, 2014 National Weather Service NWS Partners' and Family of Services, National Weather Service 9:00 ­ 9:15 Observation Systems John Murphy, Director, Office of Science Services Updates Andy Stern, Acting Director, Office of Climate, Water and Weather Services 9:45 ­ 10

  3. Preprints, 15th AMS Conference on Weather Analysis and Forecasting

    E-Print Network [OSTI]

    Doswell III, Charles A.

    ) models have substantially improved forecast skill. Recent and planned changes along these lines (e to delivering two kinds of weather products. The first is a day-to-day forecast of weather elements, e by the private sector. Improvements in automated techniques for the forecasting of basic weather elements

  4. 1956 IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 28, NO. 6, DECEMBER 2000 An Adaptive MHD Method for Global Space Weather

    E-Print Network [OSTI]

    Stout, Quentin F.

    to conditions at a particular place and time on the Sun and in the solar wind, magnetosphere, iono- sphere for space weather prediction. Manuscript received January 15, 2000; revised April 20, 2000. This research the large-scale solar corona, the solar wind, the solar wind interaction with plane- tary magnetospheres

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

    SciTech Connect (OSTI)

    Chiswell, S

    2009-01-11

    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.

  6. Disruptive Innovation in Numerical Hydrodynamics

    SciTech Connect (OSTI)

    Waltz, Jacob I.

    2012-09-06

    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.

  7. Coupled Weather and Wildfire Behavior Modeling at Los Alamos: An Overview

    SciTech Connect (OSTI)

    Bossert, James E.; Harlow, Francis H.; Linn, Rodman R.; Reisner, Jon M.; White, Andrew B.; Winterkamp, Judith L.

    1997-12-31

    Over the past two years, researchers at Los Alamos National Laboratory (LANL) have been engaged in coupled weather/wildfire modeling as part of a broader initiative to predict the unfolding of crisis events. Wildfire prediction was chosen for the following reasons: (1) few physics-based wild-fire prediction models presently exist; (2) LANL has expertise in the fields required to develop such a capability; and (3) the development of this predictive capability would be enhanced by LANL`s strength in high performance computing. Wildfire behavior models have historically been used to predict fire spread and heat release for a prescribed set of fuel, slope, and wind conditions (Andrews 1986). In the vicinity of a fire, however, atmospheric conditions are constantly changing due to non-local weather influences and the intense heat of the fire itself. This non- linear process underscores the need for physics-based models that treat the atmosphere-fire feedback. Actual wildfire prediction with full-physics models is both time-critical and computationally demanding, since it must include regional- to local-scale weather forecasting together with the capability to accurately simulate both intense gradients across a fireline, and atmosphere/fire/fuel interactions. Los Alamos has recently (January 1997) acquired a number of SGI/Cray Origin 2000 machines, each presently having 32 to 64 processors. These high performance computing systems are part of the Department of Energy`s Accelerated Strategic Computing Initiative (ASCI). While offering impressive performance now, upgrades to the system promise to deliver over 1 Teraflop (10(12) floating point operations per second) at peak performance before the turn of the century.

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

    E-Print Network [OSTI]

    Evans, Jason

    Fire weather simulation skill by the Weather Research and Forecasting (WRF) model over south, Australia. D Corresponding author. Email: h.clarke@student.unsw.edu.au Abstract. The fire weather of south of the McArthur Forest Fire Danger Index (FFDI) using probability density function skill scores, annual

  9. SPACE WEATHER, VOL. ???, XXXX, DOI:10.1002/, Socio-economic hazards and impacts of space weather: the

    E-Print Network [OSTI]

    Schrijver, Karel

    for the worst possible storms. 1. Societal concern about space weather Interconnected electronic and electrical global society. Among the backbones of this ensemble are the electric power grid and the armada of EarthSPACE WEATHER, VOL. ???, XXXX, DOI:10.1002/, Socio-economic hazards and impacts of space weather

  10. Real-Time Weather Data Access Guide: Updated February 2006

    SciTech Connect (OSTI)

    Long, N.

    2006-03-01

    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.

  11. Finite-time Lyapunov stability analysis and its application to atmospheric predictability

    SciTech Connect (OSTI)

    Yoden, Shigeo; Nomura, Masako (Kyoto Univ. (Japan))

    1993-06-01

    Finite-time Lyapunov stability, analysis is reviewed and applied to a low-order spectral model of barotropic flow in a midlatitude [beta] channel. The tangent linear equations of the model are used to investigate the growth of small perturbations superposed on a reference solution for a prescribed time interval. Three types of reference solutions of the model, stationary, periodic, and chaotic, are investigated to demonstrate usefulness of the analysis in the study of the atmospheric predictability problem. The finite-time Lyapunov exponents, which give the growth rate of small perturbations, depend upon the reference solution as well as the preturbation for time interval. The finite-time Lyapunov vector corresponding to the largest Lyapunov exponent gives the streamfunction field of the fastest growing perturbation for the time interval. In the case of the chaotic reference solution, the streamfunction field has large amplitudes in limited areas for a small time interval. The areas of the large perturbation growth have some relation to the reference streamfunction field. A possible application of the finite-time Lyapunov exponents and vectors to the atmospheric predictability problem is discussed. These quantities might be used as several forecast measures of the time-dependent predictability in numerical weather predictions. 29 refs., 14 figs.

  12. Dynamic Algorithm for Space Weather Forecasting System 

    E-Print Network [OSTI]

    Fischer, Luke D.

    2011-08-08

    .............................................................................................9 Task 1: Developing a database of solar weather data ...............................9 Task 2: Developing the ?dynamic analysis? process .............................. 10 Task 3: Developing a Java applet that presents real-time solar...-computing resources have been recently discovered. Software materials include the programming language ?Java?, the Graphical-User-Interface ?JCreator?, and Rapid Miner. We also make use of publicly available scientific databases that contain a vast plethora...

  13. Large Scale Weather Control Using Nuclear Reactors

    E-Print Network [OSTI]

    Moninder Singh Modgil

    2002-10-02

    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.

  14. Large Scale Weather Control Using Nuclear Reactors

    E-Print Network [OSTI]

    Singh-Modgil, M

    2002-01-01

    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.

  15. Portland Diversifying Weatherization Workforce | 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 RankADVANCED MANUFACTURINGEnergy Bills andOrder 422.1,anEnergy Company Weatherizes, Preserves

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

    SciTech Connect (OSTI)

    Chorover, Jon; Perdrial, Nico; Mueller, Karl; Strepka, Caleb; O���¢��������Day, Peggy; Rivera, Nelson; Um, Wooyong; Chang, Hyun-Shik; Steefel, Carl; Thompson, Aaron

    2012-11-05

    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.

  17. Weatherization assistance program. Annual report for 1980

    SciTech Connect (OSTI)

    None

    1980-11-01

    This addresses three major areas of concern relating to weatherization activities: (1) extent of progress being made toward achievement of national energy-conservation goals; (2) adequacy and costs of materials; and (3) need for and desirability of modifying weatherization activities and of extending such activities to a broader range of income groups, including changes to the legislation necessary to accomplish these modifications. The report concentrates on the efforts of the Department of Energy's (DOE) program for Weatherization Assistance for Low-Income Persons. Among the most-significant innovations introduced to the program in 1980 are: performance funding (granting funds on the basis of proven production capability), payment for labor and contractors, inexpensive interim measures, and more flexibility in determining eligibility for multi-family buildings. In addition, the program improved communications with the Department of Labor (DOL) and the Community Services Administration (CSA) as well as with representatives of the local program operators. Headquarters staffing was strengthened in 1980, and a management agreement was signed.

  18. Climatological assessment of recent severe weather events

    SciTech Connect (OSTI)

    Changnon, D. [Northern Illinois Univ., DeKalb, IL (United States); Changnon, S.A.

    1997-11-01

    A climatological assessment of a series of exceptionally severe and damaging storms during 1991-1994 was pursued to put these events and their frequency and intensity/severity into a temporal perspective. The severe weather events were assessed according to the damage they caused. Insurance-derived measures of property and crop losses due to weather were used in this study; these measures adjust individual storm losses to changing socioeconomic conditions. Two methods were used to assess the events: (1) a comparative analysis of event frequency, losses and intensity with those in the preceding 40 years, and (2) a comparison of temporal variations of the 1949-1994 events with fluctuations in population, cyclonic activity, and temperatures. The results showed that the 1991-1994 property losses ranked high in number and amount of loss. However, storm intensity was found to be higher in the 1950s. The temporal distributions of the catastrophes and crop losses were well related to North American cyclonic activity, and when cyclonic activity, U.S. mean temperatures, and population were combined, they explained 865 of the variability found in the frequency of catastrophes during 1949-1994. The results suggest that, although the severe weather events in 1991-1994 were exceptionally high in frequency and losses, much of the loss was a result of the ever increasing target at risk. 9 refs., 7 figs., 1 tab.

  19. Nonlinear dynamics of the magnetosphere and space weather

    SciTech Connect (OSTI)

    Sharma, A.S. [Univ. of Maryland, College Park, MD (United States). Dept. of Astronomy

    1996-12-31

    The solar wind-magnetosphere-ionosphere system exhibits coherence on the global scale and such behavior can arise from nonlinearity in the dynamics. The observational time series data have been used extensively to analyze the magnetospheric dynamics by using the techniques of phase space reconstruction. Analyses of the solar wind and auroral electrojet and Dst indices have shown low dimensionality of the dynamics and accurate prediction can be made with an input-output model. The predictability of the magnetosphere in spite of the apparent complexity arises form its being synchronized, in the dynamical sense, to the solar wind. The AE and Dst data are used to analyze the storm-substorm relationship based on the input-output model. This shows differences between the storm-time and non-storm substorms, and is interpreted in terms of loading-unloading and directly driven processes. The strong electrodynamic coupling between the different regions of the magnetosphere yields its coherent and thus low dimensional behavior. The data from multiple satellites and ground stations are used to develop a spatio-temporal model that identifies the coupling between the different regions. These nonlinear dynamical models provide forecasting tools for space weather.

  20. Summary of accelerated weathering and other durability studies and the correlation to real weather

    SciTech Connect (OSTI)

    Klosowski, J.M. [Dow Corning Corp., Auburn, MI (United States)

    1998-12-31

    There are several completed studies of sealants weathering outdoors and in accelerated weathering machines. There is no perfect correlation but there are remarkable similarities in the results and a general correlation is possible. The general conclusion is that it takes no less than 1000 hours in the machine to equal one year in South Florida in the full sun. These are with static samples. It is certain that the user of lab tests and the user of sealant specifications wanting an indicator of long term performance should look with a skeptical eye at durability claims that suggest short times (less than several thousand hours) in weathering machines as adequate. Such short term tests should be regarded with great skepticism and mistrust. The reasonable conclusion is that a 5000 hour or 10,000 hour of artificial weathering exposure followed by many cycles of movement are needed to have a realistic weathering test. The other major conclusion is that durability is sealant specific and broad general claims over entirely generic classes might point to a trend but won`t define specific behavior. For specific information the specific sealant of interest, in the color of interest must be studied.

  1. A multi-sensor physically based weather/non-weather radar echo classifier using polarimetric and environmental data in a real-time

    E-Print Network [OSTI]

    Lakshmanan, Valliappa

    A multi-sensor physically based weather/non-weather radar echo classifier using polarimetric-hydrometeors. In this work, a multi-sensor physically based algorithm is designed to classify weather/non-weather radar, 2004). Manual quality control (QC) of radar reflectivity data has been practiced at commercial weather

  2. Weatherization Assistance Program - Background Data and Statistics

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2010-03-01

    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.

  3. Weatherization Assistance Program Technical Assistance Center

    SciTech Connect (OSTI)

    Robert Adams

    2009-01-07

    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.

  4. How GIS and fire indices can be used in developing a fire prediction model for Scotland 

    E-Print Network [OSTI]

    MacKinnon, Frances

    2008-12-05

    This project looks at how GIS and the six fire indices from the Canadian Forest Fire Weather Index System (FWI) could be used to aid in developing a fire prediction model for Scotland. Information on land cover type, ...

  5. The Automatic Predictability of Super Geomagnetic Storm from Halo CMEs Associated with Large Solar Flares

    E-Print Network [OSTI]

    control systems, damage of electric power grids, etc. A geomagnetic storm is initiated when the energy of the main objectives in space weather research is to predict the occurrence of geomagnetic storms based

  6. An evolutionary mixture-of-experts approach to data cleansing and load prediction

    E-Print Network [OSTI]

    Langseth, Helge

    of power grids. As the electrical grid is transformed into a Smart Grid, the complexity and necessity prediction is to include other factor that influence load consumption locally, e.g. weather and temperature

  7. Numerical simulations of strong incompressible magnetohydrodynamic turbulence

    SciTech Connect (OSTI)

    Mason, J.; Cattaneo, F.; Perez, J. C.; Boldyrev, S.

    2012-05-15

    Magnetised plasma turbulence pervades the universe and is likely to play an important role in a variety of astrophysical settings. Magnetohydrodynamics (MHD) provides the simplest theoretical framework in which phenomenological models for the turbulent dynamics can be built. Numerical simulations of MHD turbulence are widely used to guide and test the theoretical predictions; however, simulating MHD turbulence and accurately measuring its scaling properties is far from straightforward. Computational power limits the calculations to moderate Reynolds numbers and often simplifying assumptions are made in order that a wider range of scales can be accessed. After describing the theoretical predictions and the numerical approaches that are often employed in studying strong incompressible MHD turbulence, we present the findings of a series of high-resolution direct numerical simulations. We discuss the effects that insufficiencies in the computational approach can have on the solution and its physical interpretation.

  8. Mesoscale Simulations of a Wind Ramping Event for Wind Energy Prediction

    SciTech Connect (OSTI)

    Rhodes, M; Lundquist, J K

    2011-09-21

    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.

  9. Global Predictions 

    E-Print Network [OSTI]

    Swyden, Courtney

    2006-01-01

    stream_source_info Global Predictions.pdf.txt stream_content_type text/plain stream_size 7503 Content-Encoding ISO-8859-1 stream_name Global Predictions.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Every morning... drought index is based on a daily water balance, where a drought factor is calculated with precipitation and soil moisture,? Srinivasan said. Global Predictions Story by Courtney Swyden Global Predictions Lab uses advanced technologies to forecast...

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

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    vs. synthesized energy modeling weather files. Journal ofHong TZ, Jiang Y. Stochastic weather model for building HVAC1. [9] Crawley DB. Which weather data should you use for

  11. SOLAR ACTIVITY DETECTION AND PREDICTION USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES

    E-Print Network [OSTI]

    ABSTRACT SOLAR ACTIVITY DETECTION AND PREDICTION USING IMAGE PROCESSING AND MACHINE LEARNING for automatic detection and prediction of solar activities, including prominence eruptions, emerging flux. These methods can be used for automatic observation of solar activities and prediction of space weather that may

  12. Statistical Assessment of Photospheric Magnetic Features in Imminent Solar Flares Predictions

    E-Print Network [OSTI]

    Statistical Assessment of Photospheric Magnetic Features in Imminent Solar Flares Predictions Hui in solar physics to predict solar flares. 1. Introduction Over the past decades, mankind has become more of the primary objectives in space weather research is to predict the occurrence of solar flares and Coronal Mass

  13. Characterization of the Weatherization Assistance Program network

    SciTech Connect (OSTI)

    Mihlmester, P.E.; Koehler, W.C. Jr.; Beyer, M.A. . Applied Management Sciences Div.); Brown, M.A. ); Beschen, D.A. Jr. . Office of Weatherization Assistance Programs)

    1992-02-01

    The Characterization of the Weatherization Assistance Program (WAP) Network was designed to describe the national network of State and local agencies that provide WAP services to qualifying low-income households. The objective of this study was to profile the current WAP network. To achieve the objective, two national surveys were conducted: one survey collected data from 49 State WAP agencies (including the coterminous 48 States and the District of Columbia), and the second survey collected data from 920 (or 81 percent) of the local WAP agencies.

  14. ARM - Lesson Plans: Weather and Climate Statistics

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments?govInstrumentsnoaacrnBarrow, Alaska Outreach Home Room News PublicationsClimatePastThe PacificWeather and

  15. WEATHERIZATION PROGRAM NOTICE 09-1

    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 QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryinEnableVisualizationcoloringWEATHERIZATION ANNUAL (8-89)

  16. WEATHERIZATION ANNUAL FILE WORKSHEET | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowingFuel Efficiency &Report- AprilEnergyWEATHERIZATION

  17. HELIOSPHERIC PROPAGATION OF CORONAL MASS EJECTIONS: COMPARISON OF NUMERICAL WSA-ENLIL+CONE MODEL AND ANALYTICAL DRAG-BASED MODEL

    SciTech Connect (OSTI)

    Vršnak, B.; Žic, T.; Dumbovi?, M.; Temmer, M.; Möstl, C.; Veronig, A. M.; Taktakishvili, A.; Mays, M. L.; Odstr?il, D. E-mail: tzic@geof.hr E-mail: manuela.temmer@uni-graz.at E-mail: astrid.veronig@uni-graz.at E-mail: m.leila.mays@nasa.gov

    2014-08-01

    Real-time forecasting of the arrival of coronal mass ejections (CMEs) at Earth, based on remote solar observations, is one of the central issues of space-weather research. In this paper, we compare arrival-time predictions calculated applying the numerical ''WSA-ENLIL+Cone model'' and the analytical ''drag-based model'' (DBM). Both models use coronagraphic observations of CMEs as input data, thus providing an early space-weather forecast two to four days before the arrival of the disturbance at the Earth, depending on the CME speed. It is shown that both methods give very similar results if the drag parameter ? = 0.1 is used in DBM in combination with a background solar-wind speed of w = 400 km s{sup –1}. For this combination, the mean value of the difference between arrival times calculated by ENLIL and DBM is ?-bar =0.09±9.0 hr with an average of the absolute-value differences of |?|-bar =7.1 hr. Comparing the observed arrivals (O) with the calculated ones (C) for ENLIL gives O – C = –0.3 ± 16.9 hr and, analogously, O – C = +1.1 ± 19.1 hr for DBM. Applying ? = 0.2 with w = 450 km s{sup –1} in DBM, one finds O – C = –1.7 ± 18.3 hr, with an average of the absolute-value differences of 14.8 hr, which is similar to that for ENLIL, 14.1 hr. Finally, we demonstrate that the prediction accuracy significantly degrades with increasing solar activity.

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

    SciTech Connect (OSTI)

    Michalakes, J.; Chen, S.; Dudhia, J.; Hart, L.; Klemp, J.; Middlecoff, J.; Skamarock, W.

    2001-02-05

    The Weather Research and Forecast (WRF) project is a multi-institutional effort to develop an advanced mesoscale forecast and data assimilation system that is accurate, efficient, and scalable across a range of scales and over a host of computer platforms. The first release, WRF 1.0, was November 30, 2000, with operational deployment targeted for the 2004-05 time frame. This paper provides an overview of the project and current status of the WRF development effort in the areas of numerics and physics, software and data architecture, and single-source parallelism and performance portability.

  19. Weatherization Innovation Pilot Program (WIPP): Technical Assistance Summary

    SciTech Connect (OSTI)

    Hollander, A.

    2014-09-01

    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.

  20. Experimental and numerical study of primary consolidation of soft clay

    E-Print Network [OSTI]

    Korchaiyapruk, Attasit, 1977-

    2007-01-01

    This research investigates, experimentally and numerically, the three main factors that differentiate predictions based on Terzaghi's one-dimensional consolidation theory from those observed in the laboratory and field. ...

  1. o help guard against the ravages of severe weather, NOAA's National Weather Service designed

    E-Print Network [OSTI]

    redundant methods to receive severe weather forecasts/warnings and alert the public, · Create a system and flood operations. Tsunami tragedies over the past decade have reminded the world of the socioeconomic impacts this hazard can inflict. Major tsunami events include: the Indian Ocean in December 2004, Samoa

  2. "The Voice of NOAA's National Weather Service" Supporting NOAA's Weather Ready Nation Initiative

    E-Print Network [OSTI]

    . Warnings are broadcast for both natural (such as tsunamis and volcanoes) and man-made (such as Amber Alerts federally operated system broadcasting weather and emergency warnings to the public. Reception of NWR) warnings, watches, forecasts and other emergency information from nearby NWS offices 24 hours a day. Known

  3. #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.

  4. DOE Announces Nearly $120 Million to Advance Innovative Weatherization...

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

    back to work installing insulation, upgrading appliances, and improving heating and cooling systems. According to state reports, the Recovery Act Weatherization Program...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    Proposed five-year plan for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy's Weatherization and Intergovernmental Program.

  6. Effective Energy Behavior Change for Low-Income Weatherization Clients

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  7. Weatherization Innovation Pilot Program Fact Sheet - Ohio Success...

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

    documenting the success of the People Working CooperativelyWIPP partnership. ohiosuccessstory.pdf More Documents & Publications Weatherization Innovation Pilot Program Fact...

  8. Weatherization Saves Families Energy and Money | Department of...

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

    of low-income families. Since the Weatherization Assistance Program's inception in 1976, more than 7 million homes have received energy efficiency improvements, such as...

  9. Weatherization Brings New Job Opportunity in Arizona | Department...

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

    homeowners' annual income must equal or be less than 200 percent of the federal poverty level. Personal gratitude According to Soper, recipients of NACOG's weatherization...

  10. EXTENSIONS OF GENERALIZED LINEAR MODELING APPROACH TO STOCHASTIC WEATHER GENERATORS

    E-Print Network [OSTI]

    Katz, Richard

    weather) -- Software R open source statistical programming language: Function glm "Family;(2) Generalized Linear Models Statistical Framework -- Multiple Regression Analysis (Linear model or LM) Response

  11. Subscribe to Weatherization and Intergovernmental Program Office Newsletters

    Broader source: Energy.gov [DOE]

    Get email subscriptions to the Weatherization and Intergovernmental Program Office Newsletters, Guidelines for Home Energy Professionals Project Updates and State and Local Technical Assistance Program Alerts.

  12. Comparison of the prediction accuracy of daily and monthly regression models for energy consumption in commercial buildings 

    E-Print Network [OSTI]

    Wang, Jinrong

    1996-01-01

    -retrofit weather is generally different from the weather used for model development, the prediction error of the baseline model may be different from the fitting error. Daily and monthly baseline models were developed for a midsize commercial building with (i) dual...

  13. 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.

  14. A Numeric Predictive Failure Model for Percussive Excavation

    E-Print Network [OSTI]

    Green, Alex Nicholas

    2011-01-01

    Journal of the Soil mechanics and Foundations Division, ASCEConference on Soil Mechanics and Foundation Engineering,Journal of the Soil Mechanics and Foundations Division,

  15. Iterative Compilation and Performance Prediction for Numerical Applications 

    E-Print Network [OSTI]

    Fursin, Grigori G

    As the current rate of improvement in processor performance far exceeds the rate of memory performance, memory latency is the dominant overhead in many performance critical applications. In many cases, automatic ...

  16. Numerical prediction of mobile offshore drilling unit drift during hurricanes 

    E-Print Network [OSTI]

    Tahchiev, Galin Valentinov

    2009-05-15

    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...

  17. AIAA 2003-3549 Numerical Prediction of Non-equilibrium

    E-Print Network [OSTI]

    D'Ambrosio, Domenic

    models with respect to the macroscopic thermochemical non-equilibrium models that are usually used i (per unit mass) ev,eq i specific equilibrium vibrational energy of species i h mixture enthalpy hf i formation enthalpy of species i hi species enthalpy (per unit mass) ho stagnation enthalpy K time

  18. Methodology for updating numerical predictions of excavation performance

    E-Print Network [OSTI]

    Corral Jofré, Gonzalo Andrés

    2013-01-01

    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, ...

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDiesel prices continueDileep SinghLeadership

  20. Weathering of Roofing Materials-An Overview

    SciTech Connect (OSTI)

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

    2006-03-30

    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.

  1. Working Together to Save Lives National Weather Service Strategic Plan

    E-Print Network [OSTI]

    Working Together to Save Lives National Weather Service Strategic Plan for 2005-2010 #12;i Preface The National Oceanic and Atmospheric Administration (NOAA) Strategic Plan (http for a broader range of environmental information services. NOAA's National Weather Service (NWS) Strategic Plan

  2. A Chapter In Space Weather: Physics and Effects

    E-Print Network [OSTI]

    Vassiliadis, Dimitrios

    costs. A smaller number of assets is on Earth's surface (electric power grids, pipeline systems- 1 - A Chapter In Space Weather: Physics and Effects by V. Bothmer and I.A. Daglis (editors) Springer Praxis September 2005 Draft date: March 9, 2007 Forecasting Space Weather Dimitris Vassiliadis ST

  3. DEEP COMPREHENSION, GENERATION AND TRANSLATION OF WEATHER FORECASTS (WEATHRA)

    E-Print Network [OSTI]

    in a data base and graphic representation with tile standard meteorological icons on a map, e.g. iconsDEEP COMPREHENSION, GENERATION AND TRANSLATION OF WEATHER FORECASTS (WEATHRA) by BENGT SIGURD, Sweden E-mail: linglund@gemini.ldc.lu.se FAX:46-(0)46 104210 Introduction and abstract Weather forecasts

  4. Procedure for Packing Weather Files for DOE-2e 

    E-Print Network [OSTI]

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

    2010-01-01

    -09-03 Procedure for Packing Weather Files for DOE-2e Kee Han Kim Juan-Carlos Baltazar-Cervantes, Ph.D. September 2010 ESL-TR-10-09-03 TABLE OF CONTENTS CHAPTER 1... ................................................................................................................................................. 7 1. OVERVIEW ..................................................................................................................................... 7 2. PROCESS OF PACKING WEATHER DATA FOR DOE-2e SIMULATION ............................... 8 2...

  5. 1. Introduction Users of weather forecasts, particularly paying cus-

    E-Print Network [OSTI]

    1. Introduction Users of weather forecasts, particularly paying cus- tomers, are operating within Kingdom out of a total budget of approximately £140 million for winter road maintenance. It is difficult rely on a simple set of statistics provided by the weather service providers. The current guidance

  6. Climate in China ! Climate is weather over time.

    E-Print Network [OSTI]

    Pan, Feifei

    Climate in China #12;! Climate is weather over time. ! Climatology is the study of climate. ! Climatic regions are areas with similar weather statistics. ! Climate influences ecosystems. ! On land, the location of climatic regions determines the location of ecosystems (e.g., forest, grassland, savanna

  7. Lithium Isotope History of Cenozoic Seawater: Changes in Silicate Weathering

    E-Print Network [OSTI]

    Paytan, Adina

    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

  8. A Science Service Feature 1 VWY THE WEATHER ?

    E-Print Network [OSTI]

    A Science Service Feature 1 VWY THE WEATHER ? Dr. Charles F, Brooke, Secretary, American N~tsorologicalSociety, describes : Plant l i f e playa an important part i n weather by assisting i n the eVaporatia Of moisture i

  9. A Science Service Feature--7 WHY THE WEATHER ?

    E-Print Network [OSTI]

    No. 1m Nov. 2 A Science Service Feature-- 7 WHY THE WEATHER ? Dr. Charles F. Brooks, Secretary on the eastern shores often occur several days i n S U C C ~ S S ~ O ~ ,while the weather on the westerly shores

  10. -A Science Service Fca*ture WHY THE WEATHER 7

    E-Print Network [OSTI]

    -A Science Service Fca*ture WHY THE WEATHER 7 By D r . Charlee F, B ~ o o k s of Clark University n 1916- 'rith the duration of periodic weather relationships, this mas haxllg discovered it s t o p

  11. -A Science Service Feature 7 ViHY THE WEATHER

    E-Print Network [OSTI]

    No. 370 July 18 -A Science Service Feature 7 ViHY THE WEATHER Dr. Charles F. Brooks, of Cla , 1923. having a normal clear weather v i s i b i l i t y not exceeding 22 miles, were distinctly Bee

  12. GENERALIZED LINEAR MODELING APPROACH TO STOCHASTIC WEATHER GENERATORS

    E-Print Network [OSTI]

    Katz, Richard

    ) Multisites (Spatial dependence of daily weather) -- Software R open source statistical programming language (Capable of "reproducing" any desired statistic) -- Disadvantages Synthetic weather looks too much like") Not amenable to uncertainty analysis #12;#12;#12;(2) Generalized Linear Models · Statistical Framework

  13. 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.

  14. National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series

    E-Print Network [OSTI]

    #12;#12;National Oceanic and Atmospheric Administration Weather Bureau Hurricane Series ERRATA Beltsville, MD 20704-1387 November 6,2007 #12;FRELLMINARY REPORT ON HURRICANE HANNAH SEPJCEMBEIi 28-OCTOBER 6, 1959 !Phe Weather Bureau Hurricane Warning Center at M i d issued the f i r a t advisory on Hurricane

  15. Small drains, big problems: The impact of dry weather runoff on shoreline water quality at enclosed beaches

    E-Print Network [OSTI]

    2014-01-01

    fecal pollution during dry weather Research and Education (R. Characterizing Dry Weather Runo?, Sediment Resuspension,Problems: The Impact of Dry Weather Runo? on Shoreline Water

  16. Uncertainties in Energy Consumption Introduced by Building Operations and Weather for a Medium-Size Office Building

    E-Print Network [OSTI]

    Wang, Liping

    2014-01-01

    by Building Operations and Weather for a Medium-Size OfficeHVAC systems, (3) actual weather, (4) variations in buildingconsumption due to actual weather and building operational

  17. Contributions of weather and fuel mix to recent declines in U.S. energy and carbon intensity

    E-Print Network [OSTI]

    Davis, W. Bart; Sanstad, Alan H.; Koomey, Jonathan G.

    2002-01-01

    Contributions of Weather and Fuel Mix to Recent Declines inexplanations - fuel mix and weather. The Divisia methodby early 2000. Table 4.4. Weather Adjustment Indices C / GDP

  18. Components of Congestion: Delay from Incidents, Special Events, Lane Closures, Weather, Potential Ramp Metering Gain, and Excess Demand

    E-Print Network [OSTI]

    Kwon, Jaimyoung; Mauch, Michael; Varaiya, Pravin

    2006-01-01

    Events, Lane Closures, Weather, Potential Ramp Meteringlane closures, and adverse weather; the potential reductionclosures; and adverse weather. Applied to a 45-mi section of

  19. Numerical Study of Noise Shielding by Airframe Structures Changzheng Huang*

    E-Print Network [OSTI]

    Papamoschou, Dimitri

    Numerical Study of Noise Shielding by Airframe Structures Changzheng Huang* and Dimitri Papamoschou-quiet advent aircraft that use jet noise shielding by the airframe. Current methods to predict shielding from predictive tools for jet noise shielding therefore requires a different approach. In this study we use

  20. WHAT TO DO DURING SEVERE WEATHER WHILE ON CAMPUS If you observe a tornado/severe weather, you hear tornado sirens sound or receive a

    E-Print Network [OSTI]

    Oklahoma, University of

    WHAT TO DO DURING SEVERE WEATHER WHILE ON CAMPUS If you observe a tornado/severe weather, you hear Clear Emergency Notification Text: OU Alert: The weather danger has passed. You may resume normal activity. New this season is our 2014 Severe Weather Procedure for Particularly Dangerous Storm (PDS