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We encourage you to perform a real-time search of NLEBeta
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1

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

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

Howat, Ian M.

2

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

For over 30 years, weather forecasting for the Antarctic continent and adjacent Southern Ocean has relied on weather satellites. Significant advancements in forecasting skill have come via the weather satellite. The advent of the high-resolution ...

Matthew A. Lazzara; Linda M. Keller; Charles R. Stearns; Jonathan E. Thom; George A. Weidner

2003-02-01T23:59:59.000Z

3

The Impact of Satellite Data on Global Numerical Weather Prediction  

Science Journals Connector (OSTI)

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

J. Pailleux

1987-01-01T23:59:59.000Z

4

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

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

Stoffelen, Ad

5

NOAA National Weather Service I'm a weather forecaster.  

E-Print Network [OSTI]

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

Waliser, Duane E.

6

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network [OSTI]

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

Poulin, L.

2013-01-01T23:59:59.000Z

7

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

...Forrest Forecasting phenology under global warming Ines Ibanez 1 * Richard B. Primack...and site-specific responses to global warming. We found that for most species...climate change|East Asia, global warming|growing season, hierarchical...

2010-01-01T23:59:59.000Z

8

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

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

Eric Hand

2012-04-27T23:59:59.000Z

9

Weather Forecasting for Radio Astronomy  

E-Print Network [OSTI]

as complex refractivity..." (Liebe, 1985) For each layer of the atmosphere, calculate: Density of water of Maciolek' profiles Weather conditions for past observations Makes possible the generation of detailed Atmospheric pressure, temperature, and humidity as a function of height above a site (and much more). Derived

Groppi, Christopher

10

Weather Forecasts Slowly Clearing Up  

Science Journals Connector (OSTI)

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

Richard A. Kerr

2012-11-09T23:59:59.000Z

11

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

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

Stevenson, Paul

12

Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting  

E-Print Network [OSTI]

This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

Goto, Susumu

2007-01-01T23:59:59.000Z

13

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

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

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

14

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

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

15

Global Warming and Extreme Weather  

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

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

16

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect (OSTI)

We validated one year of Global Forecast System (GFS) predictions of surface meteorological variables (wind speed, air temperature, dewpoint temperature, air pressure) over the entire planet for forecasts extending from zero hours into the future (an analysis) to 36 hours. Approximately 12,000 surface stations world-wide were included in this analysis. Root-Mean-Square- Errors (RMSE) increased as the forecast period increased from zero to 36 hours, but the initial RMSE were almost as large as the 36 hour forecast RMSE for all variables. Typical RMSE were 3 C for air temperature, 2-3mb for sea-level pressure, 3.5 C for dewpoint temperature and 2.5 m/s for wind speed. Approximately 20-40% of the GFS errors can be attributed to a lack of resolution of local features. We attribute the large initial RMSE for the zero hour forecasts to the inability of the GFS to resolve local terrain features that often dominate local weather conditions, e.g., mountain- valley circulations and sea and land breezes. Since the horizontal resolution of the GFS (about 1{sup o} of latitude and longitude) prevents it from simulating these locally-driven circulations, its performance will not improve until model resolution increases by a factor of 10 or more (from about 100 km to less than 10 km). Since this will not happen in the near future, an alternative for the near term to improve surface weather analyses and predictions for specific points in space and time would be implementation of a high-resolution, limited-area mesoscale atmospheric prediction model in regions of interest.

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

17

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network [OSTI]

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

Sadjadi, S. Masoud

18

Introduction An important goal in operational weather forecasting  

E-Print Network [OSTI]

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

Haak, Hein

19

Dynamic Algorithm for Space Weather Forecasting System  

E-Print Network [OSTI]

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

Fischer, Luke D.

2011-08-08T23:59:59.000Z

20

Weather-based forecasts of California crop yields  

SciTech Connect (OSTI)

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

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

2005-09-26T23:59:59.000Z

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


21

Predicting Solar Generation from Weather Forecasts Using Machine Learning  

E-Print Network [OSTI]

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

Shenoy, Prashant

22

Leveraging Weather Forecasts in Renewable Energy Navin Sharmaa,  

E-Print Network [OSTI]

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

Shenoy, Prashant

23

Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems  

E-Print Network [OSTI]

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

Shenoy, Prashant

24

Products and Service of Center for Weather Forecast and Climate Studies  

E-Print Network [OSTI]

) Seasonal Climate Forecast (1-6 months) #12;Weather Forecast Weather Bulletin PCD SCD1 SCD2 SX6 SatelliteLOG O Products and Service of Center for Weather Forecast and Climate Studies Simone Sievert da AND DEVELOP. DIVISION SATELLITE DIVISION ENVIROM. SYSTEM OPERATIONAL DIVISION CPTEC/INPE Msc / PHD &TRAINING

25

Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation  

E-Print Network [OSTI]

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

Sripada, Yaji

26

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

E-Print Network [OSTI]

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

Evans, Jason

27

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect (OSTI)

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

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

2009-03-01T23:59:59.000Z

28

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

...of each variable on GDP (13, 17), combined with global GDP projections (14...population, and per capita GDP, combined with projected...measure of agricultural demand for water, is forecast...Just as demand for energy is the major cause...

David Tilman; Joseph Fargione; Brian Wolff; Carla D'Antonio; Andrew Dobson; Robert Howarth; David Schindler; William H. Schlesinger; Daniel Simberloff; Deborah Swackhamer

2001-04-13T23:59:59.000Z

29

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

E-Print Network [OSTI]

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

Dacre, Helen

30

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

E-Print Network [OSTI]

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

Jamieson, Bruce

31

Analysis of moisture variability in the European Centre for Medium-Range Weather Forecasts 15-year  

E-Print Network [OSTI]

Analysis of moisture variability in the European Centre for Medium-Range Weather Forecasts 15-year Centre for Medium-Range Weather Forecasts 15-year reanalysis (ERA-15) moisture over the tropical oceans. Introduction [2] Because water vapor is the most significant green- house gas and it exhibits a strong

Allan, Richard P.

32

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network [OSTI]

competing numerical weather prediction centers such as the European Center for MediumRange Weather Forecasts (ECMWF). For most sensibleweather metrics, we lag 1 to 1.5 days (i.e., they make a 3.5day of NOAA's current investment in weather satellites. Without a modern data assimilation system

Hamill, Tom

33

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

E-Print Network [OSTI]

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

Reiter, Ehud

34

Weather Forecasting by Interactive Analysis of Radar and Satellite Imagery [and Discussion  

Science Journals Connector (OSTI)

...1988 research-article Weather Forecasting by Interactive Analysis of Radar and Satellite Imagery [and Discussion...presenting the current weather situation quickly enough...processing of the radar and satellite data is highly automated...very busy in active weather situations, can keep...

1988-01-01T23:59:59.000Z

35

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

36

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

Science Journals Connector (OSTI)

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

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

2004-01-01T23:59:59.000Z

37

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

Open Energy Info (EERE)

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

38

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

Science Journals Connector (OSTI)

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

Jessica Keune; Christian Ohlwein; Andreas Hense

2014-11-01T23:59:59.000Z

39

Exploring Variations in People’s Sources, Uses, and Perceptions of Weather Forecasts  

Science Journals Connector (OSTI)

Past research has shown that individuals vary in their attitudes and behaviors regarding weather forecast information. To deepen knowledge about these variations, this article explores 1) patterns in people’s sources, uses, and perceptions of ...

Julie L. Demuth; Jeffrey K. Lazo; Rebecca E. Morss

2011-07-01T23:59:59.000Z

40

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

Science Journals Connector (OSTI)

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

Budiman Putra; Bagus Tris Atmaja; Syahroni Hidayat

2012-01-01T23:59:59.000Z

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


41

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

in the realm of solar radiation forecasting. In this work, two forecasting models: Autoregressive Moving1 A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION. The very first results show an improvement brought by this approach. 1. INTRODUCTION Solar radiation

Boyer, Edmond

42

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

E-Print Network [OSTI]

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

Kuang, Yang

43

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

E-Print Network [OSTI]

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

Marseille, Gert-Jan

44

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

E-Print Network [OSTI]

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

Allan, Richard P.

45

Application of a medium-range global hydrologic probabilistic forecast scheme to the Ohio River Basin  

SciTech Connect (OSTI)

A 10-day globally applicable flood prediction scheme was evaluated using the Ohio River basin as a test site for the period 2003-2007. The Variable Infiltration Capacity (VIC) hydrology model was initialized with the European Centre for Medium Range Weather Forecasts (ECMWF) analysis temperatures and wind, and Tropical Rainfall Monitoring Mission Multi Satellite Precipitation Analysis (TMPA) precipitation up to the day of forecast. In forecast mode, the VIC model was then forced with a calibrated and statistically downscaled ECMWF ensemble prediction system (EPS) 10-day ensemble forecast. A parallel set up was used where ECMWF EPS forecasts were interpolated to the spatial scale of the hydrology model. Each set of forecasts was extended by 5 days using monthly mean climatological variables and zero precipitation in order to account for the effect of initial conditions. The 15-day spatially distributed ensemble runoff forecasts were then routed to four locations in the basin, each with different drainage areas. Surrogates for observed daily runoff and flow were provided by the reference run, specifically VIC simulation forced with ECMWF analysis fields and TMPA precipitation fields. The flood prediction scheme using the calibrated and downscaled ECMWF EPS forecasts was shown to be more accurate and reliable than interpolated forecasts for both daily distributed runoff forecasts and daily flow forecasts. Initial and antecedent conditions dominated the flow forecasts for lead times shorter than the time of concentration depending on the flow forecast amounts and the drainage area sizes. The flood prediction scheme had useful skill for the 10 following days at all sites.

Voisin, Nathalie; Pappenberger, Florian; Lettenmaier, D. P.; Buizza, Roberto; Schaake, John

2011-08-15T23:59:59.000Z

46

Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis  

Science Journals Connector (OSTI)

Probabilistic forecasts of tropical cyclogenesis have been evaluated for two samples: a near-homogeneous sample of ECMWF and Weather Research and Forecasting (WRF) Model–ensemble Kalman filter (EnKF) ensemble forecasts during the National Science ...

Sharanya J. Majumdar; Ryan D. Torn

2014-10-01T23:59:59.000Z

47

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

E-Print Network [OSTI]

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

48

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

SciTech Connect (OSTI)

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

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

2005-03-18T23:59:59.000Z

49

Benchmark Tests for Numerical Weather Forecasts on Inexact Hardware  

Science Journals Connector (OSTI)

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

Peter D. Düben; T. N. Palmer

2014-10-01T23:59:59.000Z

50

Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD  

E-Print Network [OSTI]

weather phenomena such as tor- nadoes, severe storms and flash floods. The June 1990 outbreak that spawned: ATM-0331594 (Oklahoma), ATM-0331591 (Colorado State), ATM-0331574 (Millersville), ATM-0331480 (Indiana

Plale, Beth

51

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

52

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

53

Impact of vegetation fraction from Indian geostationary satellite on short-range weather forecast  

Science Journals Connector (OSTI)

Indian economy is largely depending upon the agricultural productivity and thus influences the trade among the SAARC countries. High-resolution and good-quality regional weather forecasts are necessary for planners, resource managers, insurers and national agro-advisory services. In this study, high resolution updated land-surface state in terms of vegetation fraction (VF) from operational vegetation index products of Indian geostationary satellite (INSAT 3A) sensor (CCD) was utilized in numerical weather prediction (NWP) model (e.g. WRF) to investigate its impact on short-range weather forecast over the control run. Results showed that the updated vegetation fraction from INSAT 3A CCD improved the low-level 24 h temperature (?18%) and moisture (?10%) forecast in comparison to control run. The 24 h rainfall forecast was also improved (more than 5%) over central and southern India with the use of updated vegetation fraction compared to control experiment. INSAT 3A VF based experiment also showed a net improvement of 27% in surface sensible heat fluxes from WRF in comparison to control experiment when both were compared with area-averaged measurements from Large Aperture Scintillometer (LAS). This triggers the need of more and more use of realistic and updated land surface states through satellite remote sensing data as well as in situ micrometeorological measurements to improve the forecast quality, skill and consistency.

Prashant Kumar; Bimal K. Bhattacharya; P.K. Pal

2013-01-01T23:59:59.000Z

54

RACORO Forecasting  

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

Daniel Hartsock CIMMS, University of Oklahoma ARM AAF Wiki page Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance...

55

Chapter 4 The use of satellite surface wind data to improve weather analysis and forecasting at the NASA Data Assimilation Office  

Science Journals Connector (OSTI)

One important application of satellite surface wind observations is to improve the accuracy of weather analyses and forecasts. The first satellite to measure surface wind over the ocean was SeaSat in 1978. The initial impact of satellite surface wind data on weather analysis and forecasting was very small, but extensive research has been conducted since SeaSat to improve data accuracy and utilization of these data in atmospheric models. Satellite surface wind data are now used to detect intense storms over the ocean as well as to improve the overall representation of the wind field in numerical weather prediction models. Satellite wind data contribute to improved warnings for ships at sea and to more accurate global weather forecasts. Experiments with the Goddard Earth Observing System atmospheric general circulation model and data assimilation system indicate that the impact of satellite wind data measured by the National Aeronautics and Space Administration Scatterometer was approximately twice as large as the impact of Special Sensor Microwave Imager or European Remote-sensing Satellite wind data. Locations of cyclones over the ocean were up to 500 km more accurate, and the useful forecast skill in the Southern Hemisphere extratropics was extended by 24 hours.

R. Atlas; R.N. Hoffman

2000-01-01T23:59:59.000Z

56

Theoretical Impact Assessment of Satellite Data on Weather Forecasts  

Science Journals Connector (OSTI)

The global meteorological observing system is extremely expensive and in the present economical situation some conventional observations such as radiosondes begin to be severely reduced. At the same time improved...

O. M. Pokrovsky

2003-01-01T23:59:59.000Z

57

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

Science Journals Connector (OSTI)

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

Jeff Mirocha; Branko Kosovi?; Gokhan Kirkil

2014-02-01T23:59:59.000Z

58

20th Century Global Weather Reanalysis Project at NERSC  

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

20th Century 20th Century Reanalysis Project 20th Century Reanalysis Project Key Challenges: Assimilate historical weather observations from sources as diverse as 19th century sea captains and turn of the century explorers and medical doctors, to reconstruct a comprehensive global atmospheric circulation dataset in six-hour intervals from 1871 to the present. Use this dataset to analyze (and reanalyze) global weather conditions over that period of time. Why it Matters: Using historical climate data will help us understand current weather patterns, especially for extreme weather events. It will help explain climate variations that may have misinformed early-century policy decisions and will provide an important validation check on climate models being used to make 21st-century climate projections. Results from

59

A multi-spectral spatial convolution approach of rainfall forecasting using weather satellite imagery  

Science Journals Connector (OSTI)

Flood forecasting has long been a major topic of hydrologic research. Recent events and studies indicate that the success of flood forecasting in Taiwan depends heavily on the accuracy of real-time rainfall forecasting. In this study, we demonstrate a multi-spectral spatial convolution approach for real-time rainfall forecasting using geostationary weather satellite images. The approach incorporates cloud-top temperatures of three infrared channels in a spatial convolution context. It not only characterizes the input–output relationship between cloud-top temperature and rainfall at the ground level, but also is more consistent with physical and remote sensing principles than single-pixel matches. Point rainfall measurements at raingauge sites are up-scaled to pixel-average-rainfall by block kriging, then related to multi-spectral cloud-top temperatures derived from Geostationary Meteorological Satellite images by spatial convolution. The kernel function of the multispectral spatial convolution equation is solved by the least squares method. Through a cross-validation procedure, we demonstrate that the proposed approach is capable of achieving high accuracy for 1- to 3-h-lead pixel-average-rainfall forecasting.

Chiang Wei; Wei-Chun Hung; Ke-Sheng Cheng

2006-01-01T23:59:59.000Z

60

Claudio Schepke: Online Parallel Mesh Refinement for Climatological Applications Weather forecasts for long periods of time have emerged as increasingly important.  

E-Print Network [OSTI]

Claudio Schepke: Online Parallel Mesh Refinement for Climatological Applications Weather forecasts, this presentation discusses how to explore parallelism at different levels for climatological models, like OLAM

Wichmann, Felix

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


61

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

SciTech Connect (OSTI)

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

Michalakes, J.

1999-01-13T23:59:59.000Z

62

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

E-Print Network [OSTI]

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

John Michael Williams

2000-08-28T23:59:59.000Z

63

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

E-Print Network [OSTI]

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

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

2012-01-01T23:59:59.000Z

64

Influence of weather and global warming in chloride ingress into concrete: a stochastic approach  

E-Print Network [OSTI]

Influence of weather and global warming in chloride ingress into concrete: a stochastic approach E the influence of weather conditions and global warming on chloride ingress into concrete. The assessment including seasonal variations and global warming is also proposed in this work. Three scenarios of global

Paris-Sud XI, Université de

65

VISUAL QUERY OF TIME-DEPENDENT 3D WEATHER IN A GLOBAL GEOSPATIAL  

E-Print Network [OSTI]

, and investigation as much as other data (e.g., satellite imagery). Indeed, even the National Weather Service is only1 VISUAL QUERY OF TIME-DEPENDENT 3D WEATHER IN A GLOBAL GEOSPATIAL ENVIRONMENT William Ribarsky WEATHER IN A GLOBAL GEOSPATIAL ENVIRONMENT William Ribarsky, Nickolas Faust, Zachary Wartell, Christopher

Shaw, Chris

66

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

E-Print Network [OSTI]

for numerical weather prediction and climate models.   Abstract:  Numerical weather prediction (NWP) models are Model output statistics (MOS), Numerical Weather Prediction (

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

67

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

E-Print Network [OSTI]

Multiscale Numerical Weather Prediction Model.   Progress assimilating numerical weather prediction model for solar customizable  numerical weather prediction model that is 

Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

2013-01-01T23:59:59.000Z

68

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

E-Print Network [OSTI]

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

Smith, Leonard A

69

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

Science Journals Connector (OSTI)

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

Haralambos Feidas; Themistoklis Kontos; Nikolaos Soulakellis; Konstantinos Lagouvardos

2007-01-01T23:59:59.000Z

70

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...

71

An Evaluation of Tropical Cyclone Genesis Forecasts from Global Numerical Models  

Science Journals Connector (OSTI)

Tropical cyclone (TC) forecasts rely heavily on output from global numerical models. While considerable research has investigated the skill of various models with respect to track and intensity, few studies have considered how well global models ...

Daniel J. Halperin; Henry E. Fuelberg; Robert E. Hart; Joshua H. Cossuth; Philip Sura; Richard J. Pasch

2013-12-01T23:59:59.000Z

72

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

Science Journals Connector (OSTI)

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

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

2014-09-01T23:59:59.000Z

73

VALIDATION OF SHORT AND MEDIUM TERM OPERATIONAL SOLAR RADIATION FORECASTS IN THE US  

E-Print Network [OSTI]

, and medium term forecasts (up to seven days ahead) from numerical weather prediction models [1]. Forecasts radiation forecasting. One approach relies on numerical weather prediction (NWP) models which can be global modeling of the atmosphere. NWP models cannot, at this stage of their development, predict the exact

Perez, Richard R.

74

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

E-Print Network [OSTI]

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

Kurapov, Alexander

75

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

E-Print Network [OSTI]

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

Ganguly, Auroop Ratan

2002-01-01T23:59:59.000Z

76

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

E-Print Network [OSTI]

and validation.   Solar Energy.   73:5, 307? Perez, R. , irradiance forecasts for solar energy applications based on forecast database.   Solar Energy.   81:6, 809?812.  

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

77

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

78

Impact of Atmosphere and Land Surface Initial Conditions on Seasonal Forecasts of Global Surface Temperature  

Science Journals Connector (OSTI)

The impact of land surface and atmosphere initialization on the forecast skill of a seasonal prediction system is investigated, and an effort to disentangle the role played by the individual components to the global predictability is done, via a ...

Stefano Materia; Andrea Borrelli; Alessio Bellucci; Andrea Alessandri; Pierluigi Di Pietro; Panagiotis Athanasiadis; Antonio Navarra; Silvio Gualdi

2014-12-01T23:59:59.000Z

79

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

E-Print Network [OSTI]

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

Steenburgh, Jim

80

Eye Tracking: Evaluating the impact of gesturing during televised weather forecasts.  

Science Journals Connector (OSTI)

Televised media is one of the most frequently accessed sources of weather information. The local weathercaster is the link between weather information and the public, and as such weathercaster characteristics, from vocal cadence to physical ...

Robert Drost; Jay Trobec; Christy Steffke; Julie Libarkin

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


81

Study and implementation of mesoscale weather forecasting models in the wind industry.  

E-Print Network [OSTI]

?? As the wind industry is developing, it is asking for more reliable short-term wind forecasts to better manage the wind farms’ operations and electricity… (more)

Jourdier, Bénédicte

2012-01-01T23:59:59.000Z

82

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

E-Print Network [OSTI]

is critical for coastal California solar forecasting.   affecting solar irradiance in southern California.   solar  photovoltaic generation (the southern California 

Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

2013-01-01T23:59:59.000Z

83

Global Weather States and Their Properties from Passive and Active Satellite Cloud Retrievals  

Science Journals Connector (OSTI)

In this study, the authors apply a clustering algorithm to International Satellite Cloud Climatology Project (ISCCP) cloud optical thickness–cloud top pressure histograms in order to derive weather states (WSs) for the global domain. The cloud ...

George Tselioudis; William Rossow; Yuanchong Zhang; Dimitra Konsta

2013-10-01T23:59:59.000Z

84

An overview of global gold market and gold price forecasting Shahriar Shafiee a,n  

E-Print Network [OSTI]

into the relationship between gold price and other key influencing variables, such as oil price and global inflationAn overview of global gold market and gold price forecasting Shahriar Shafiee a,n , Erkan Topal b history: Received 6 February 2009 Received in revised form 20 April 2010 Accepted 17 May 2010 Jel

Boisvert, Jeff

85

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

Science Journals Connector (OSTI)

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

Robert L. Vislocky; J. Michael Fritsch

1995-12-01T23:59:59.000Z

86

Weather Forecasting System Based on Satellite Imageries Using Neuro-fuzzy Techniques  

Science Journals Connector (OSTI)

We have built an automated Satellite Images Forecasting System with Neuro-Fuzzy techniques. Firstly, Subtractive Clustering is applied on to a satellite image to extract the locations of the clouds. This is follo...

Chien-Wan Tham; Sion-Hui Tian; Liya Ding

2002-01-01T23:59:59.000Z

87

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

Science Journals Connector (OSTI)

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

John M. Lanicci

2012-05-01T23:59:59.000Z

88

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

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

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

89

Solar shield: forecasting and mitigating space weather effects on high-voltage power transmission systems  

Science Journals Connector (OSTI)

In this paper, central elements of the Solar Shield project, launched to design and establish ... about space weather conditions to the member power utilities. EPRI also evaluates the economic impacts of ... tran...

Antti Pulkkinen; Michael Hesse; Shahid Habib; Luke Van der Zel…

2010-05-01T23:59:59.000Z

90

Very short range local area weather forecasting using measurements from geosynchronous meteorological satellites  

Science Journals Connector (OSTI)

Quantitative radiance measurements from NASA's ATS-3 geosynchronous satellite have been used to develop and test ... a statistical forecst method to predict air terminal weather over the very short range (0–6 ......

Gerald J. Sikula; Dr. Thomas H. Vonder Haar

1973-01-01T23:59:59.000Z

91

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

SciTech Connect (OSTI)

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

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

2010-03-15T23:59:59.000Z

92

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

Science Journals Connector (OSTI)

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

Jing Zhang; Xiangdong Zhang

2010-01-01T23:59:59.000Z

93

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

SciTech Connect (OSTI)

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

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

2010-06-27T23:59:59.000Z

94

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

E-Print Network [OSTI]

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

Liu, Paul

95

Global and multi-scale features of solar wind-magnetosphere coupling: From modeling to forecasting  

E-Print Network [OSTI]

and substorms; 2784 Magnetospheric Physics: Solar wind/magnetosphere interactions; 3210 Mathematical Geophysics in the solar wind-magnetosphere interaction, de- veloping first principles models that encompass allGlobal and multi-scale features of solar wind-magnetosphere coupling: From modeling to forecasting

Sitnov, Mikhail I.

96

Use of Weather and Occupancy Forecasts for Optimal Building Climate Control Part II  

E-Print Network [OSTI]

that predictive control presents a promising option to enhance the energy efficiency and comfort of buildings office building. The proposed project presents a follow-up to the forerunner project "Use of Weather-site event targeted at professionals from the building, energy and educational sectors. Project risks relate

Fischlin, Andreas

97

Streamflow Forecasting Based on Statistical Applications and Measurements Made with Rain Gage and Weather Radar  

E-Print Network [OSTI]

measurements taken with weather radar. In addition, accurate estimates of lag time can be made from radar observations. For a storm which is unevenly distributed over the watershed, it is demonstrated that a better estimation of lag time may be made from radar...

Hudlow, M.D.

98

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

E-Print Network [OSTI]

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

Mass, Clifford F.

99

Bandwidth allocation in a multiservice satellite network based on long-term weather forecast scenarios  

Science Journals Connector (OSTI)

The paper compares two alternative hierarchical bandwidth allocation and admission control schemes suited for the multiservice Ka-band satellite environment, where the attenuation of the transmitted signals due to bad weather conditions has a heavy impact on the system's performance. The two schemes are compared by using data derived from a real case study. The aim is to demonstrate that a high level control mechanism for the assignment of the satellite bandwidth to earth stations, which takes into consideration the rain attenuation probabilities of a certain geographical area, improves the system's performance, with respect to an assignment mechanism insensitive to the geographical fade probabilities.

Raffaele Bolla; Nedo Celandroni; Franco Davoli; Erina Ferro; Mario Marchese

2002-01-01T23:59:59.000Z

100

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

SciTech Connect (OSTI)

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

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

2008-01-01T23:59:59.000Z

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


101

Scientist warns against overselling climate change Climate change forecasters should admit that they cannot predict how global warming will affect  

E-Print Network [OSTI]

forward on climate change, he said the data produced by models used to project weather changes risks beingScientist warns against overselling climate change Climate change forecasters should admit climate ­ with dangerous results. Related Articles Second biggest wind farm to be built off UK (/earth

Stevenson, Paul

102

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

103

Winter Weather Outlook  

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

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

104

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

Science Journals Connector (OSTI)

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

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

2003-12-01T23:59:59.000Z

105

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

SciTech Connect (OSTI)

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

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

2001-11-13T23:59:59.000Z

106

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

DOE R&D Accomplishments [OSTI]

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

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

2001-11-13T23:59:59.000Z

107

Global Observation of Forest and Land Cover Dynamics Michael Brady  

E-Print Network [OSTI]

in a weather forecasting sense ­ Costs ­ Satellite acquisition strategies · Different definitions and protocols satellite observing systems to support fire management, policy decision- making, and global change research

108

DREAM tool increases space weather predictions  

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

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

109

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

SciTech Connect (OSTI)

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

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

2007-06-01T23:59:59.000Z

110

Measuring forecast skill: is it real skill or  

E-Print Network [OSTI]

samples, then many verification metrics will credit a forecast with extra skill it doesn't deserve islands, zero meteorologists Imagine a planet with a global ocean and two isolated islands. Weather three metrics... (1) Brier Skill Score (2) Relative Operating Characteristic (3) Equitable Threat Score

Hamill, Tom

111

Calibrated Precipitation Forecasts for a Limited-Area Ensemble Forecast System Using Reforecasts  

Science Journals Connector (OSTI)

The calibration of numerical weather forecasts using reforecasts has been shown to increase the skill of weather predictions. Here, the precipitation forecasts from the Consortium for Small Scale Modeling Limited Area Ensemble Prediction System (...

Felix Fundel; Andre Walser; Mark A. Liniger; Christoph Frei; Christof Appenzeller

2010-01-01T23:59:59.000Z

112

Ensemble Forecasts and their Verification  

E-Print Network [OSTI]

· Ensemble forecast verification ­ Performance metrics: Brier Score, CRPSS · New concepts and developments of weather Sources: Insufficient spatial resolution, truncation errors in the dynamical equations

Maryland at College Park, University of

113

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

114

ANL Software Improves Wind Power Forecasting | Department of...  

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

principal investigator for the project. For wind power point forecasting, ARGUS PRIMA trains a neural network using data from weather forecasts, observations, and actual wind...

115

CONUS-Wide Evaluation of National Weather Service Flash Flood Guidance Products  

Science Journals Connector (OSTI)

This study quantifies the skill of the National Weather Service’s (NWS) flash flood guidance (FFG) product. Generated by River Forecast Centers (RFCs) across the United States, local NWS Weather Forecast Offices compare estimated and forecast ...

Robert A. Clark; Jonathan J. Gourley; Zachary L. Flamig; Yang Hong; Edward Clark

2014-04-01T23:59:59.000Z

116

Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part II: One-Month Experiments with Real Observations  

Science Journals Connector (OSTI)

An intercomparison of the Environment Canada variational and ensemble Kalman filter (EnKF) data assimilation systems is presented in the context of producing global deterministic numerical weather forecasts. Five different variational data ...

Mark Buehner; P. L. Houtekamer; Cecilien Charette; Herschel L. Mitchell; Bin He

2010-05-01T23:59:59.000Z

117

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

E-Print Network [OSTI]

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

McCalley, James D.

118

Impact of large scale circulation on European summer surface ozone and consequences for modelling forecast  

E-Print Network [OSTI]

of using day-to-day varying chemical boundary conditions produced by a global chemical weather forecast platform instead of climatological monthly means at the frontiers of a regional model. We performed two- transport models (CTMs) that represent physical and chemical processes controlling ozone concentrations

Menut, Laurent

119

HEAT EXCHANGE AND WEATHER FORECASTING  

Science Journals Connector (OSTI)

...energy into kinetic energy. In the scheme of...that the potential energy has to be re- stored...time, search for energy sources and sinks...earth's surfaces as a converter of radiation into...where K is the thermal diffusivity; in...the mobility of the ocean waters, we see that...

Sverre Petterssen

1959-01-01T23:59:59.000Z

120

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

E-Print Network [OSTI]

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

Surussavadee, Chinnawat

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


121

DREAM tool increases space weather predictions  

E-Print Network [OSTI]

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

122

Short-Range Direct and Diffuse Irradiance Forecasts for Solar Energy Applications Based on Aerosol Chemical Transport and Numerical Weather Modeling  

Science Journals Connector (OSTI)

This study examines 2–3-day solar irradiance forecasts with respect to their application in solar energy industries, such as yield prediction for the integration of the strongly fluctuating solar energy into the electricity grid. During cloud-...

Hanne Breitkreuz; Marion Schroedter-Homscheidt; Thomas Holzer-Popp; Stefan Dech

2009-09-01T23:59:59.000Z

123

Characteristics of Target Areas Selected by the Ensemble Transform Kalman Filter for Medium-Range Forecasts of High-Impact Winter Weather  

Science Journals Connector (OSTI)

The characteristics of “target” locations of tropospheric wind and temperature identified by a modified version of the ensemble transform Kalman filter (ETKF), in order to reduce 0–7-day forecast errors over North America, are explored from the ...

Sharanya J. Majumdar; Kathryn J. Sellwood; Daniel Hodyss; Zoltan Toth; Yucheng Song

2010-07-01T23:59:59.000Z

124

Advanced chemistry-transport modeling and observing systems allow daily air quality observations, short-term forecasts, and real-time analyses of air quality at the global and  

E-Print Network [OSTI]

Advanced chemistry-transport modeling and observing systems allow daily air quality observations, short-term forecasts, and real-time analyses of air quality at the global and European scales control measures that could be taken for managing such episodes, European-scale air quality forecasting

Paris-Sud XI, Université de

125

Satellites Monitor the Weather from 22,300 Miles in Space  

Science Journals Connector (OSTI)

We rely on weather forecasts for everything from planting crops to deciding how to dress. With the help of weather satellites, such as GOES, meteorologists have improved their...

Viets, Patricia W

1997-01-01T23:59:59.000Z

126

The temporal cascade structure of reanalyses and Global Circulation models  

E-Print Network [OSTI]

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

Lovejoy, Shaun

127

A global coal production forecast with multi-Hubbert cycle analysis  

Science Journals Connector (OSTI)

Based on economic and policy considerations that appear to be unconstrained by geophysics, the Intergovernmental Panel on Climate Change (IPCC) generated forty carbon production and emissions scenarios. In this paper, we develop a base-case scenario for global coal production based on the physical multi-cycle Hubbert analysis of historical production data. Areas with large resources but little production history, such as Alaska and the Russian Far East, are treated as sensitivities on top of this base-case, producing an additional 125 Gt of coal. The value of this approach is that it provides a reality check on the magnitude of carbon emissions in a business-as-usual (BAU) scenario. The resulting base-case is significantly below 36 of the 40 carbon emission scenarios from the IPCC. The global peak of coal production from existing coalfields is predicted to occur close to the year 2011. The peak coal production rate is 160 EJ/y, and the peak carbon emissions from coal burning are 4.0 Gt C (15 Gt CO2) per year. After 2011, the production rates of coal and CO2 decline, reaching 1990 levels by the year 2037, and reaching 50% of the peak value in the year 2047. It is unlikely that future mines will reverse the trend predicted in this BAU scenario.

Tadeusz W. Patzek; Gregory D. Croft

2010-01-01T23:59:59.000Z

128

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

129

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

Science Journals Connector (OSTI)

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

C. Giordano; J. Vernin; H. Trinquet; C. Muñoz-Tuñón

2014-01-01T23:59:59.000Z

130

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

131

18 Bureau of Meteorology Annual Report 201314 Hazards, warnings and forecasts  

E-Print Network [OSTI]

and numerical prediction models. #12;19Bureau of Meteorology Annual Report 2013­14 2 Performance Performance programs: · Weather forecasting services; · Flood forecasting and warning services; · Hazard prediction, Warnings and Forecasts portfolio provides a range of forecast and warning services covering weather, ocean

Greenslade, Diana

132

Analysis and forecast improvements from simulated satellite water vapor profiles and rainfall using a global data assimilation system  

SciTech Connect (OSTI)

The potential improvements of analyses and forecasts from the use of satellite-observed rainfall and water vapor measurements from the Defense Meteorological Satellite Program Sensor Microwave (SSM) T-1 and T-2 instruments are investigated in a series of observing system simulation experiments using the Air Force Phillips Laboratory (formerly Air Force Geophysics Laboratory) data assimilation system. Simulated SSM radiances are used directly in a radiance retrieval step following the conventional optimum interpolation analysis. Simulated rainfall rates in the tropics are used in a moist initialization procedure to improve the initial specification of divergence, moisture, and temperature. Results show improved analyses and forecasts of relative humidity and winds compared to the control experiment in the tropics and the Southern Hemisphere. Forecast improvements are generally restricted to the first 1-3 days of the forecast. 27 refs., 11 figs.

Nehrkorn, T.; Hoffman, R.N.; Louis, J.F.; Isaacs, R.G.; Moncet, J.L. (Atmospheric and Environmental Research, Inc., Cambridge, MA (United States))

1993-10-01T23:59:59.000Z

133

ORIGINAL PAPER Coupled weather research and forecastingstochastic  

E-Print Network [OSTI]

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

Lin, John Chun-Han

134

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

E-Print Network [OSTI]

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

Ebert, Beth

135

Interactive Weather Simulation and Visualization on a Display Wall  

E-Print Network [OSTI]

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

Ha, Phuong H.

136

Building Energy Software Tools Directory: Degree Day Forecasts  

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

Forecasts Forecasts Degree Day Forecasts example chart Quick and easy web-based tool that provides free 14-day ahead degree day forecasts for 1,200 stations in the U.S. and Canada. Degree Day Forecasts charts show this year, last year and three-year average. Historical degree day charts and energy usage forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700. Expertise Required No special expertise required. Simple to use. Users Over 1,000 weekly users. Audience Anyone who needs degree day forecasts (next 14 days) for the U.S. and Canada. Input Select a weather station (1,200 available) and balance point temperature. Output Charts show (1) degree day (heating and cooling) forecasts for the next 14

137

Accuracy of near real time updates in wind power forecasting  

E-Print Network [OSTI]

· advantage: no NWP data necessary ­ very actual shortest term forecasts possible · wind power inputAccuracy of near real time updates in wind power forecasting with regard to different weather October 2007 #12;EMS/ECAM 2007 ­ Nadja Saleck Outline · Study site · Wind power forecasting - method

Heinemann, Detlev

138

Comparing NWS PoP Forecasts to Third-Party Providers  

Science Journals Connector (OSTI)

In this paper, the authors verify probability of precipitation (PoP) forecasts provided by the National Weather Service (NWS), The Weather Channel (TWC), and CustomWeather (CW). The n-day-ahead forecasts, where n ranges from 1 to 3 for the NWS, ...

J. Eric Bickel; Eric Floehr; Seong Dae Kim

2011-10-01T23:59:59.000Z

139

The global geochemical cycles of iron and calcium: using novel isotope systems to understand weathering, global mass budgets, natural reaction rates, and paleoclimate  

E-Print Network [OSTI]

. Traditional geochemical proxies utilize variations in the oxygen, carbon, and boron isotopic compositionThe global geochemical cycles of iron and calcium: using novel isotope systems to understand of California, Berkeley Spring 2005 #12;The global geochemical cycles of iron and calcium: using novel isotope

Fantle, Matthew

140

Applications of satellite remote sensing in numerical weather and climate prediction  

Science Journals Connector (OSTI)

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

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

2002-01-01T23:59:59.000Z

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


141

Weatherization and Intergovernmental Program: Weatherization Assistance  

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

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

142

Residential Weatherization  

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

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

143

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Journals Connector (OSTI)

The Weather Research and Forecasting Model (WRF) with 10-km horizontal grid spacing was used to explore improvements in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model simulations with ...

Adam J. Deppe; William A. Gallus Jr.; Eugene S. Takle

2013-02-01T23:59:59.000Z

144

The Value of a Variable Resolution Approach to Numerical Weather Prediction  

Science Journals Connector (OSTI)

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

Roberto Buizza

2010-04-01T23:59:59.000Z

145

Weatherization and Intergovernmental Program: Apply for Weatherization  

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

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

146

Weatherization and Intergovernmental Program: Weatherization Services  

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

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

147

A Comparison of Precipitation Forecast Skill between Small Convection-Allowing and Large Convection-Parameterizing Ensembles  

E-Print Network [OSTI]

-km grid-spacing (ENS4) and a 15-member, 20-km grid-spacing (ENS20) Weather Research and Forecasting of various precipitation skill metrics for probabilistic and deterministic forecasts reveals that ENS4 Centre for Medium-Range Weather Forecasts (ECMWF; Molteni et al. 1996) Ensemble Prediction System

Xue, Ming

148

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

Science Journals Connector (OSTI)

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

Mrinmoy Majumder; Tilottama Chackraborty

2013-01-01T23:59:59.000Z

149

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology  

E-Print Network [OSTI]

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau-Russian blocking 2010, predicted out to 10d) 1st-10th Aug 2010 #12;Extreme heat definition Lack of common metrics forecasts SEDI for DJF, all forecasts SEDI for JJA, all forecasts #12;The Centre for Australian Weather

Marshall, Andrew

150

Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA  

SciTech Connect (OSTI)

In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of forecasts. We use automatically coupled wavelet transform and autoregressive integrated moving-average (ARIMA) forecasting to reflect multi-scale variability of forecast errors. The proposed analysis reveals slow-changing “quasi-deterministic” components of forecast errors. This helps improve forecasts produced by other means, e.g., using weather-based models, and reduce forecast errors prediction intervals.

Hou, Zhangshuan; Etingov, Pavel V.; Makarov, Yuri V.; Samaan, Nader A.

2014-10-27T23:59:59.000Z

151

BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting  

Science Journals Connector (OSTI)

Abstract Rising carbon emission or carbon footprint imposes grave concern over the earth?s climatic condition, as it results in increasing average global temperature. Renewable energy sources seem to be the favorable solution in this regard. It can reduce the overall energy consumption rate globally. However, the renewable sources are intermittent in nature with very high initial installation price. Off-grid Small Autonomous Hybrid Power Systems (SAHPS) are good alternative for generating electricity locally in remote areas, where the transmission and distribution of electrical energy generated from conventional sources are otherwise complex, difficult and costly. In optimizing SAHPS, weather data over past several years are generally the main input, which include wind speed and solar radiation. The weather resources used in this optimization process have unsystematic variations based on the atmospheric and seasonal phenomenon and it also varies from year to year. While using past data in the analysis of SAHPS performance, it was assumed that the same pattern will be followed in the next year, which in reality is very unlikely to happen. In this paper, we use BBO optimization algorithm for SAHPS optimal component sizing by minimizing the cost of energy. We have also analysed the effect of using forecast weather data instead of past data on the SAHPS performance. ANNs, which are trained with back-propagation training algorithm, are used for wind speed and solar radiation forecasting. A case study was used for demonstrating the performance of BBO optimization algorithm along with forecasting effects. The simulation results clearly showed the advantages of utilizing wind speed and solar radiation forecasting in a SAHPS optimization problem.

R.A. Gupta; Rajesh Kumar; Ajay Kumar Bansal

2015-01-01T23:59:59.000Z

152

Weatherization and Intergovernmental Program: Weatherization Innovation  

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

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

153

Weatherization and Intergovernmental Program: Weatherization Assistance  

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

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

154

Weatherization and Intergovernmental Program: National Weatherization  

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

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

155

Which Way Will The Wind Blow? Networked Computer Tools For Studying The Weather  

E-Print Network [OSTI]

school level. These tools give students access to live satellite images, weather maps, and otherWhich Way Will The Wind Blow? Networked Computer Tools For Studying The Weather Barry J. Fishman scientific data dealing with the weather, and make it easy for students to make their own weather forecasts

Fishman, Barry

156

Testing Linear Diagnostics of Ensemble Performance on a Simplified Global Circulation Model  

E-Print Network [OSTI]

Ensemble weather forecast systems are used to account for the uncertainty in the initial conditions of the atmosphere and the chaotic dynamics of the models. It has been previously found that forecast performance of an ensemble forecast system...

Nelson, Ethan

2011-04-21T23:59:59.000Z

157

Representing Forecast Error in a Convection-Permitting Ensemble System  

Science Journals Connector (OSTI)

Ensembles provide an opportunity to greatly improve short-term prediction of local weather hazards, yet generating reliable predictions remain a significant challenge. In particular, convection-permitting ensemble forecast systems (CPEFSs) have ...

Glen S. Romine; Craig S. Schwartz; Judith Berner; Kathryn R. Fossell; Chris Snyder; Jeff L. Anderson; Morris L. Weisman

2014-12-01T23:59:59.000Z

158

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...

159

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

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

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

160

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

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

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

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


161

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

E-Print Network [OSTI]

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

Washington at Seattle, University of

162

The Impact of Assimilating Surface Pressure Observations on Severe Weather Events in a WRF Mesoscale Ensemble System  

Science Journals Connector (OSTI)

Surface pressure observations are assimilated into a Weather Research and Forecast ensemble using an ensemble Kalman filter (EnKF) approach and the results are compared with observations for two severe weather events. Several EnKF experiments are ...

Dustan M. Wheatley; David J. Stensrud

2010-05-01T23:59:59.000Z

163

Numerical Simulation of 2010 Pakistan Flood in the Kabul River Basin by Using Lagged Ensemble Rainfall Forecasting  

Science Journals Connector (OSTI)

Lagged ensemble forecasting of rainfall and rainfall–runoff–inundation (RRI) forecasting were applied to the devastating flood in the Kabul River basin, the first strike of the 2010 Pakistan flood. The forecasts were performed using the Global ...

Tomoki Ushiyama; Takahiro Sayama; Yuya Tatebe; Susumu Fujioka; Kazuhiko Fukami

2014-02-01T23:59:59.000Z

164

Probabilistic Forecasts of Wind Speed: Ensemble Model Output Statistics  

E-Print Network [OSTI]

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

Washington at Seattle, University of

165

Understanding space weather to shield society  

E-Print Network [OSTI]

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

Schrijver, Karel

166

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

167

Solar forecasting review  

E-Print Network [OSTI]

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

168

Weatherized in May 2010  

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

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

169

Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System  

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

3 3 Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System S. I. Gutman, (a) R. B. Chadwick, (b) and D. W. Wolf (c) National Oceanic and Atmospheric Administration Boulder, Colorado A. Simon Cooperative Institute for Research in Environmental Science Boulder, Colorado T. Van Hove and C. Rocken University Navstar Consortium Boulder, Colorado Background Water vapor is one of the most important constituents of the free atmosphere since it is the principal mechanism by which moisture and latent heat are transported and cause "weather." The measurement of atmospheric water vapor is essential for weather and climate research as well as for operational weather forecasting. An important goal in modern weather prediction is to improve the accuracy of short-term

170

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

E-Print Network [OSTI]

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

Knievel, Jason Clark

171

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

E-Print Network [OSTI]

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

Johnson, Peter D.

172

Weather Extremes  

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

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

173

A Comparison of Precipitation Forecast Skill between Small Convection-Allowing and Large Convection-Parameterizing Ensembles  

E-Print Network [OSTI]

Submitted to Weather and Forecasting in October 2008, Accepted in January 2009 * Corresponding author) Weather Research and Forecasting (WRF) model ensemble, which cover a similar domain over the central-convection resolution (PCR) ensembles. Computation of various precipitation skill metrics for probabilistic

Droegemeier, Kelvin K.

174

Discussion of long-range weather prediction  

SciTech Connect (OSTI)

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

Canavan, G.H.

1998-09-10T23:59:59.000Z

175

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect (OSTI)

Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

176

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

Science Journals Connector (OSTI)

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

L. Cucurull; R. A. Anthes

2014-11-01T23:59:59.000Z

177

Machine Learning Enhancement of Storm-Scale Ensemble Probabilistic Quantitative Precipitation Forecasts  

E-Print Network [OSTI]

Machine Learning Enhancement of Storm-Scale Ensemble Probabilistic Quantitative Precipitation uncertainty. Machine learning methods can produce calibrated probabilistic forecasts from the raw ensemble and machine learning are working to address these challenges. Numerical weather prediction (NWP) models

Xue, Ming

178

Wintertime sub-kilometer numerical forecasts of near-surface variables in the Canadian Rocky Mountains  

Science Journals Connector (OSTI)

Numerical Weather Prediction (NWP) systems operational at many national centers are nowadays used at kilometer scale. The next generation of NWP models will provide forecasts at sub-kilometrer scale. Large impacts are expected in mountainous ...

Vincent Vionnet; Stéphane Bélair; Claude Girard; André Plante

179

Spatial postprocessing of ensemble forecasts for temperature using nonhomogeneous Gaussian regression  

Science Journals Connector (OSTI)

Statistical postprocessing techniques are commonly used to improve the skill of ensembles of numerical weather forecasts. This paper considers spatial extensions of the well-established nonhomogeneous Gaussian regression (NGR) postprocessing ...

Kira Feldmann; Michael Scheuerer; Thordis L. Thorarinsdottir

180

Upscale error growth in a high-resolution simulation of a summertime weather event over Europe  

Science Journals Connector (OSTI)

The growth of small amplitude, spatially uncorrelated perturbations has been studied in a weather forecast of a four day period in Summer 2007, using a large domain covering Europe and eastern Atlantic and with explicitly resolved deep convection. ...

Tobias Selz; George C. Craig

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


181

International Polar Year (IPY) Student Traineeships: Investigation of the impact of western arctic volcanic eruption on weather and climate  

E-Print Network [OSTI]

if the eruptions are not very large. Four aspects of volcanic eruptions on local weather were explored: 1) heat of the four aspects has the greatest impact on local weather during an eruption. Evaluation with observational data was performed to assess whether routine Weather Research and Forecasting (WRF) model data can

Moelders, Nicole

182

Cathy Zoi on Weatherization  

SciTech Connect (OSTI)

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

Zoi, Cath

2010-01-01T23:59:59.000Z

183

Weatherization Pilot Projects  

Broader source: Energy.gov [DOE]

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

184

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

E-Print Network [OSTI]

Severe Weather on the Web: Computer Lab for WEST Severe Weather Module Summary: Students and satellite images as well asexamine currentstorm watches and warnings. Materials Computers with internet tropical cyclone database webpage.It provides TRMM satellite observations of global tropical cyclones

Jiang, Haiyan

185

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

E-Print Network [OSTI]

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

Gottwald, Georg A.

186

Ocean Data Impacts in Global HYCOM  

Science Journals Connector (OSTI)

The impact of the assimilation of ocean observations on reducing global Hybrid Coordinate Ocean Model (HYCOM) 48-h forecast errors is presented. The assessment uses an adjoint-based data impact procedure that characterizes the forecast impact of ...

James A. Cummings; Ole Martin Smedstad

2014-08-01T23:59:59.000Z

187

A Displacement-Based Error Measure Applied in a Regional Ensemble Forecasting System  

Science Journals Connector (OSTI)

Errors in regional forecasts often take the form of phase errors, where a forecasted weather system is displaced in space or time. For such errors, a direct measure of the displacement is likely to be more valuable than traditional measures. A ...

Christian Keil; George C. Craig

2007-09-01T23:59:59.000Z

188

Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis  

E-Print Network [OSTI]

analyses of regional mod- eling with Polar WRF have been performed with results compared to selected localEvaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air.1.1 of the Weather Research and Forecasting model (WRF), a highresolution regional scale model, is used to simulate

Howat, Ian M.

189

Dynamics and Structure of Forecast Error Covariance in the Core of a Developing Hurricane  

E-Print Network [OSTI]

of cloud-resolving forecasts from the Weather Research and Forecasting model (WRF) was used to study error gradients of wind, temperature, and pressure to be concentrated farther from the mean vortex center share a similar axisymmetric transition about the origin, while maintaining a large degree of local

190

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

E-Print Network [OSTI]

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

Perez, Richard R.

191

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

E-Print Network [OSTI]

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

Mass, Clifford F.

192

Weatherization and Intergovernmental Activities  

Office of Energy Efficiency and Renewable Energy (EERE)

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

193

March 14, 2011 NIST Aerosol Metrology Workshop Optical Properties: The Global  

E-Print Network [OSTI]

are difficult without involving satellite measurements Correspondence with satellite measurements require. Improved regional forecasts of both weather and air quality #12;GAW Aerosol Lidar Observation Network

194

Weatherization and Intergovernmental Program: History of the Weatherization  

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

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

195

Azores Global Atmosphere Monitoring Complex 1. INTRODUCTION  

E-Print Network [OSTI]

to the accuracy of European weather forecasts. Today, they provide a unique base for studies of atmospheric levels. Measurements in the free troposphere (FT) are particularly useful, because trace gas and particle

Honrath, Richard E.

196

Multi-objective calibration of forecast ensembles using Bayesian model averaging  

E-Print Network [OSTI]

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

Vrugt, Jasper A.

197

A suite of metrics for assessing the performance of solar power forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting solar energy generation is a challenging task because of the variety of solar power systems and weather regimes encountered. Inaccurate forecasts can result in substantial economic losses and power system reliability issues. One of the key challenges is the unavailability of a consistent and robust set of metrics to measure the accuracy of a solar forecast. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, and applications) that were developed as part of the U.S. Department of Energy SunShot Initiative’s efforts to improve the accuracy of solar forecasting. In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design-of-experiments methodology in conjunction with response surface, sensitivity analysis, and nonparametric statistical testing methods. The three types of forecasting improvements are (i) uniform forecasting improvements when there is not a ramp, (ii) ramp forecasting magnitude improvements, and (iii) ramp forecasting threshold changes. Day-ahead and 1-hour-ahead forecasts for both simulated and actual solar power plants are analyzed. The results show that the proposed metrics can efficiently evaluate the quality of solar forecasts and assess the economic and reliability impacts of improved solar forecasting. Sensitivity analysis results show that (i) all proposed metrics are suitable to show the changes in the accuracy of solar forecasts with uniform forecasting improvements, and (ii) the metrics of skewness, kurtosis, and Rényi entropy are specifically suitable to show the changes in the accuracy of solar forecasts with ramp forecasting improvements and a ramp forecasting threshold.

Jie Zhang; Anthony Florita; Bri-Mathias Hodge; Siyuan Lu; Hendrik F. Hamann; Venkat Banunarayanan; Anna M. Brockway

2015-01-01T23:59:59.000Z

198

TRACKING TROPICAL CLOUD SYSTEMS FOR THE DIAGNOSIS OF SIMULATIONS BY THE WEATHER RESEARCH AND  

E-Print Network [OSTI]

TRACKING TROPICAL CLOUD SYSTEMS FOR THE DIAGNOSIS OF SIMULATIONS BY THE WEATHER RESEARCH using a satellite cloud tracking algorithm (Boer and Ramanathan, J. Geophys. Res., 1997), and the statistics are compared to those of simulations using the Weather Research and Forecasting (WRF) Model. Using

199

Operational Forecasts of Cloud Cover and Water Vapour  

E-Print Network [OSTI]

of the forecast programme, which involved the additional use of 10.7 µm GOES-8 satellite data and surface weather cirrus cloud cover 15 5. A satellite-derived extinction parameter 17 5.1 Background 17 5.2 Previous work 20 5.3 Continued development of a satellite-derived 22 extinction parameter 6. Suggestions

200

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 3 AUGUST 16, 2012  

E-Print Network [OSTI]

there is significant uncertainty in its future intensity, the current forecast is for a slowly strengthening TC which, 3) forecast output from global models, 4) the current and projected state of the Madden with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all

Gray, William

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


201

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2004 with Projections to 2025 Forecast Comparisons Index (click to jump links) Economic Growth World Oil Prices Total Energy Consumption Electricity Natural Gas Petroleum Coal The AEO2004 forecast period extends through 2025. One other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a similar time horizon. Several others provide forecasts that address one or more aspects of energy markets over different time horizons. Recent projections from GII and others are compared here with the AEO2004 projections. Economic Growth Printer Friendly Version Average annual percentage growth Forecast 2002-2008 2002-2013 2002-2025 AEO2003 3.2 3.3 3.1 AEO2004 Reference 3.3 3.2 3.0

202

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network [OSTI]

Spending 4 Figure 1.4: United States Total Employment 4 Figure 1.5: United States Unemployment Statistics 5 Virginia's Counties 35 West Virginia's Metropolitan Statistical Areas 38 CHAPTER 5: SPECiAL TOPiCS, HEALTHRGiNiA ECONOMY Figure 2.1: Total Employment 9 Figure 2.2: West Virginia Employment Distribution by Sector (2012

Mohaghegh, Shahab

203

Solar forecasting review  

E-Print Network [OSTI]

numerical weather predictions as well as satellite xv andweather analyses. Accordingly interest shifted from PLEO to GSO satellites.

Inman, Richard Headen

2012-01-01T23:59:59.000Z

204

Connecticut: Bridgeport Multifamily Weatherization  

Office of Energy Efficiency and Renewable Energy (EERE)

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

205

6961 weather resistance [n  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

206

WEATHER HAZARDS Basic Climatology  

E-Print Network [OSTI]

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

207

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

The purpose of the paper is to present a formal comparison of a variety of multiple regression models in technology forecasting for wireless communication. We compare results obtained from multiple regression models to determine whether they provide a superior fitting and forecasting performance. Both techniques predict the year of wireless communication technology introduction from the first (1G) to fourth (4G) generations. This paper intends to identify the key parameters impacting the growth of wireless communications. The comparison of technology forecasting approaches benefits future researchers and practitioners when developing a prediction of future wireless communication technologies. The items of focus will be to understand the relationship between variable selection and model fit. Because the forecasting error was successfully reduced from previous approaches, the quadratic regression methodology is applied to the forecasting of future technology commercialisation. In this study, the data will show that the quadratic regression forecasting technique provides a better fit to the curve.

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

208

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.

209

Weather Data Gamification  

E-Print Network [OSTI]

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

Gargate, Rohit

2013-07-25T23:59:59.000Z

210

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

211

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

Science Journals Connector (OSTI)

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

Marla R. Knebl Lowrey; Zong-Liang Yang

2008-12-01T23:59:59.000Z

212

Wind Power Forecasting  

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

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

213

Solar forecasting review  

E-Print Network [OSTI]

2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

Inman, Richard Headen

2012-01-01T23:59:59.000Z

214

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

215

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

216

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

E-Print Network [OSTI]

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

Howat, Ian M.

217

Online short-term solar power forecasting  

SciTech Connect (OSTI)

This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model. (author)

Bacher, Peder; Madsen, Henrik [Informatics and Mathematical Modelling, Richard Pedersens Plads, Technical University of Denmark, Building 321, DK-2800 Lyngby (Denmark); Nielsen, Henrik Aalborg [ENFOR A/S, Lyngsoe Alle 3, DK-2970 Hoersholm (Denmark)

2009-10-15T23:59:59.000Z

218

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

This project studied and analyzed Electronic Controls, Inc.’s forecasting process for three high-demand products. In addition, alternative forecasting methods were developed to compare to the current forecast method. The ...

Balandran, Juan

2005-12-16T23:59:59.000Z

219

Q. J. R. Meteorol. Soc. (2006), 132, pp. 29052923 doi: 10.1256/qj.06.25 Measuring forecast skill: is it real skill or is it the varying climatology?  

E-Print Network [OSTI]

that many commonly used systems of measurement (`metrics') in weather forecast verification are capable of weather forecasts from an accumulation of samples spanning many locations and dates. In calculating many is approximately invariant over all samples. If the event frequency actually varies among the samples, the metrics

Hamill, Tom

220

Analysis of Precipitation Using Satellite Observations and Comparisons with Global Climate Models  

E-Print Network [OSTI]

is investigated by comparisons with satellite observa- iv tions. Speci cally, six-year long (2000-2005) simulations are performed using a high- resolution (36-km) Weather Research Forecast (WRF) model and the Community Atmosphere Model (CAM) at T85 spatial... . . . . . . . . . . . . . . . . 31 B. Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 1. Satellite data . . . . . . . . . . . . . . . . . . . . . . . 33 2. Weather research and forecast model simulations . . . 34 3. Community atmosphere model simulations...

Murthi, Aditya

2011-08-08T23:59:59.000Z

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


221

Technology Forecasting Scenario Development  

E-Print Network [OSTI]

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

222

CAPP 2010 Forecast.indd  

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

Forecast, Markets & Pipelines 1 Crude Oil Forecast, Markets & Pipelines June 2010 2 CANADIAN ASSOCIATION OF PETROLEUM PRODUCERS Disclaimer: This publication was prepared by the...

223

Weather-based yield forecasts developed for 12 California crops  

E-Print Network [OSTI]

Climate Change Center at the Scripps Institution of Oceanography (M. Tyree, staff scientist, personal communication).

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

2006-01-01T23:59:59.000Z

224

Weather Forecasting using GPU-based Large-Eddy Simulations  

Science Journals Connector (OSTI)

Since the advent of computers midway through the 20th century, computational resources have increased exponentially. It is likely they will continue to do so, especially when accounting for recent trends in multi-core processors. History has shown that ...

Jerôme Schalkwijk; Harmen J.J. Jonker; A. Pier Siebesma; Erik van Meijgaard

225

TESLA: Taylor Expanded Solar Analog Forecasting Bengu Ozge Akyurek, Alper Sinan Akyurek, Jan Kleissl and Tajana Simunic Rosing  

E-Print Network [OSTI]

TESLA: Taylor Expanded Solar Analog Forecasting Bengu Ozge Akyurek, Alper Sinan Akyurek, Jan- ergy resources within the Smart Grid, solar forecasting has become an important problem for hour]. It is difficult to obtain an accurate result from the weather and solar predictions. Accurate fore- casting

Simunic, Tajana

226

Ensemble Kalman Filter Analyses and Forecasts of a Severe Mesoscale Convective System Using Different Choices of Microphysics Schemes  

Science Journals Connector (OSTI)

A Weather Research and Forecasting Model (WRF)-based ensemble data assimilation system is used to produce storm-scale analyses and forecasts of the 4–5 July 2003 severe mesoscale convective system (MCS) over Indiana and Ohio, which produced ...

Dustan M. Wheatley; Nusrat Yussouf; David J. Stensrud

2014-09-01T23:59:59.000Z

227

Characterizing and Optimizing Precipitation Forecasts from a Convection-Permitting Ensemble Initialized by a Mesoscale Ensemble Kalman Filter  

Science Journals Connector (OSTI)

Convection-permitting Weather Research and Forecasting (WRF) Model forecasts with 3-km horizontal grid spacing were produced for a 50-member ensemble over a domain spanning three-quarters of the contiguous United States between 25 May and 25 June ...

Craig S. Schwartz; Glen S. Romine; Kathryn R. Smith; Morris L. Weisman

2014-12-01T23:59:59.000Z

228

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations – the Northern Study Area.  

SciTech Connect (OSTI)

This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

Finley, Cathy [WindLogics

2014-04-30T23:59:59.000Z

229

Log-normal distribution based EMOS models for probabilistic wind speed forecasting  

E-Print Network [OSTI]

Ensembles of forecasts are obtained from multiple runs of numerical weather forecasting models with different initial conditions and typically employed to account for forecast uncertainties. However, biases and dispersion errors often occur in forecast ensembles, they are usually under-dispersive and uncalibrated and require statistical post-processing. We present an Ensemble Model Output Statistics (EMOS) method for calibration of wind speed forecasts based on the log-normal (LN) distribution, and we also show a regime-switching extension of the model which combines the previously studied truncated normal (TN) distribution with the LN. Both presented models are applied to wind speed forecasts of the eight-member University of Washington mesoscale ensemble, of the fifty-member ECMWF ensemble and of the eleven-member ALADIN-HUNEPS ensemble of the Hungarian Meteorological Service, and their predictive performances are compared to those of the TN and general extreme value (GEV) distribution based EMOS methods an...

Baran, Sándor

2014-01-01T23:59:59.000Z

230

CCPP-ARM Parameterization Testbed Model Forecast Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

Klein, Stephen

231

Weather Charts - Hanford Site  

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

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

232

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology  

E-Print Network [OSTI]

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau Ensemble Initialisation Scheme (breeding) Lack of common metrics We use weekly-mean rainfall* / max experimental forecasts (poama.bom.gov.au) #12;The Centre for Australian Weather and Climate Research

Marshall, Andrew

233

Weatherization and Intergovernmental Program: About  

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

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

234

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

The article describes research opportunities associated with evaluating the characteristics of climate forecasts in settings where sequential decisions are made. Illustrative results are provided for corn production in east central Illinois. ...

Steven T. Sonka; James W. Mjelde; Peter J. Lamb; Steven E. Hollinger; Bruce L. Dixon

1987-09-01T23:59:59.000Z

235

Comparing Forecast Skill  

Science Journals Connector (OSTI)

A basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common ...

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

236

Hydrologic sensitivities of the Sacramento-San Joaquin River basin, California, to global warming  

SciTech Connect (OSTI)

The hydrologic sensitivities of four medium-sized mountainous catchments in the Sacramento and San Joaquin River basins to long-term global warming were analyzed. The hydrologic response of these catchments, all of which are dominated by spring snowmelt runoff, were simulated by the coupling of the snowmelt and the soil moisture accounting models of the U.S. National Weather Service River Forecast System. In all four catchments the global warming pattern, which was indexed to CO{sub 2} doubling scenarios simulated by three (global) general circulation models, produced a major seasonal shift in the snow accumulation pattern. Under the alternative climate scenarios more winter precipitation fell as rain instead of snow, and winter runoff increased while spring snowmelt runoff decreased. In addition, large increases in the annual flood maxima were simulated, primarily due to an increase in rain-on-snow events, with the time of occurrence of many large floods shifting from spring to winter.

Lettenmaier, D.P. (Univ. of Washington, Seattle (USA)); Gan, Thian Yew (Asian Institute of Technology, Bangkok (Thailand))

1990-01-01T23:59:59.000Z

237

Adjoint Sensitivity Analysis for Numerical Weather Prediction  

E-Print Network [OSTI]

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

Alexandru Cioaca

2011-09-02T23:59:59.000Z

238

Forecasting Global Generation of Obsolete Personal Computers  

Science Journals Connector (OSTI)

The parameter studied is the number of obsolete computer systems with the intent to characterize the “need” for proper recycling. ... In SI Section S6 we undertake sensitivity analysis of results to increased used computer trade and find that it causes a slight increase in generation of obsolete computers in the developing world. ... Questionnaire survey for risk factors was also performed and data were analyzed using spearman correlation analyses and logistic regression analyses. ...

Jinglei Yu; Eric Williams; Meiting Ju; Yan Yang

2010-03-22T23:59:59.000Z

239

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

...Mean projections are means of the three univariate and the one...Common Journey: A Transition Toward Sustainability (National Academy Press, Washington...processes combined. 21. S. L.-Postel, Pillar of Sand: Can the Irrigation Miracle...

David Tilman; Joseph Fargione; Brian Wolff; Carla D'Antonio; Andrew Dobson; Robert Howarth; David Schindler; William H. Schlesinger; Daniel Simberloff; Deborah Swackhamer

2001-04-13T23:59:59.000Z

240

Paintball Summer Weather  

E-Print Network [OSTI]

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

Pilyugin, Sergei S.

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


241

weather | OpenEI  

Open Energy Info (EERE)

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

242

Weatherized in January  

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

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

243

NEWTON's Weather Archive  

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

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

244

What is Weatherization | Department of Energy  

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

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

245

Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market  

SciTech Connect (OSTI)

For the economic and secure operation of power systems, a precise short-term load forecasting technique is essential. Modern load forecasting techniques - especially artificial neural network methods - are particularly attractive, as they have the ability to handle the non-linear relationships between load, weather temperature, and the factors affecting them directly. A test of two different ANN models on data from Australia's Victoria market is promising. (author)

Tripathi, M.M.; Upadhyay, K.G.; Singh, S.N.

2008-11-15T23:59:59.000Z

246

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

247

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

248

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

249

BUILDING A STOCHASTIC TERMINAL AIRSPACE CAPACITY FORECAST FROM CONVECTIVE WEATHER FORECASTS  

E-Print Network [OSTI]

open from the east into Boston Logan Airport at 5PM, or if flights should incur delay on the ground International Airport (ATL) termi- nal a that there is a 30% chance of rain in Boston today, for instance, does not help to determine if there will be a route

Gummadi, Ramakrishna

250

Terrestrial-marine teleconnections in the Devonian: links between the evolution of land plants, weathering processes, and marine anoxic events  

Science Journals Connector (OSTI)

...Vir- ginia Center for Coal and Energy Research...weathering processes and global geochemical uxes during...of atmospheric CO2 and global greenhouse warming? Geology 21, 1059...Walliser, O. H. 1996 Global events in the Devonian...

1998-01-01T23:59:59.000Z

251

Intercomparison and Coupling of Ensemble and Four-Dimensional Variational Data Assimilation Methods for the Analysis and Forecasting of Hurricane Karl (2010)  

Science Journals Connector (OSTI)

This study examines the performance of ensemble and variational data assimilation systems for the Weather Research and Forecasting (WRF) Model. These methods include an ensemble Kalman filter (EnKF), an incremental four-dimensional variational ...

Jonathan Poterjoy; Fuqing Zhang

2014-09-01T23:59:59.000Z

252

Relative Short-Range Forecast Impact from Aircraft, Profiler, Radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle  

Science Journals Connector (OSTI)

An assessment is presented on the relative forecast impact on the performance of a numerical weather prediction model from eight different observation data types: aircraft, profiler, radiosonde, velocity azimuth display (VAD), GPS-derived ...

Stanley G. Benjamin; Brian D. Jamison; William R. Moninger; Susan R. Sahm; Barry E. Schwartz; Thomas W. Schlatter

2010-04-01T23:59:59.000Z

253

Importance of Horizontally Inhomogeneous Environmental Initial Conditions to Ensemble Storm-Scale Radar Data Assimilation and Very Short-Range Forecasts  

Science Journals Connector (OSTI)

The assimilation of operational Doppler radar observations into convection-resolving numerical weather prediction models for very short-range forecasting represents a significant scientific and technological challenge. Numerical experiments over ...

David J. Stensrud; Jidong Gao

2010-04-01T23:59:59.000Z

254

Improving an Accuracy of ANN-Based Mesoscale-Microscale Coupling Model by Data Categorization: With Application to Wind Forecast for Offshore and Complex Terrain Onshore Wind Farms  

Science Journals Connector (OSTI)

The ANN-based mesoscale-microscale coupling model forecasts wind speed and wind direction with high accuracy for wind parks located in complex terrain onshore, yet some weather regimes remains unresolved and f...

Alla Sapronova; Catherine Meissner…

2014-01-01T23:59:59.000Z

255

Point-trained models in a grid environment: Transforming a potato late blight risk forecast for use with the National Digital Forecast Database  

E-Print Network [OSTI]

Point-trained models in a grid environment: Transforming a potato late blight risk forecast for use have come to expect. Potato late blight risk models were some of the earliest weather-based models. This analysis compares two types of potato late blight risk models that were originally trained on location

Douches, David S.

256

Weatherizing Wilkes-Barre  

ScienceCinema (OSTI)

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

Calore, Joe

2013-05-29T23:59:59.000Z

257

Neighborhood Weatherization, Houston  

E-Print Network [OSTI]

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

Fowler, M.

2011-01-01T23:59:59.000Z

258

Weatherization Assistance Program  

Broader source: Energy.gov [DOE]

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

259

Weather Regime Prediction Using Statistical Learning  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

260

Sandia National Laboratories: solar forecasting  

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

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

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


261

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

Rate Forecasts 19 5. EIA Forecast: Regional Coal Production 22 6. Wood Mackenzie Forecast: W.V. Steam to data currently published by the Energy Information Administration (EIA), coal production in the state in this report calls for state production to decline by 11.3 percent in 2009 to 140.2 million tons. During

Mohaghegh, Shahab

262

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

263

On Sequential Probability Forecasting  

E-Print Network [OSTI]

at the same time. [Probability, Statistics and Truth, MacMillan 1957. page 11] ... the collective "denotes a collective wherein the attribute of the single event is the number of points thrown. [Probability, StatisticsOn Sequential Probability Forecasting David A. Bessler 1 David A. Bessler Texas A&M University

McCarl, Bruce A.

264

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) | Open  

Open Energy Info (EERE)

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Agency/Company /Organization: Energy Sector Management Assistance Program of the World Bank Sector: Energy Focus Area: Non-renewable Energy Topics: Baseline projection, Co-benefits assessment, GHG inventory Resource Type: Software/modeling tools User Interface: Spreadsheet Complexity/Ease of Use: Simple Website: www.esmap.org/esmap/EFFECT Cost: Free Equivalent URI: www.esmap.org/esmap/EFFECT Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Screenshot

265

CSUF Economic Outlook and Forecasts MidYear Update -April 2013  

E-Print Network [OSTI]

CSUF Economic Outlook and Forecasts MidYear Update - April 2013 Anil Puri & Mira Farka Mihaylo College of Business and Economics California State University, Fullerton U.S. Economic Outlook to the forecast and a are-up in the region can easily derail the global economic recovery. Nonetheless

de Lijser, Peter

266

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

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

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

267

Research of least squares support vector regression based on differential evolution algorithm in short-term load forecasting model  

Science Journals Connector (OSTI)

To improve the accuracy of short-term load forecasting a differential evolution algorithm (DE) based least squares support vector regression (LSSVR) method is proposed in this paper. Through optimizing the regularization parameter and kernel parameter of the LSSVR by DE a short-term load forecasting model which can take load affected factors such as meteorology weather and date types into account is built. The proposed LSSVR method is proved by implementing short-term load forecasting on the real historical data of Yangquan power system in China. The average forecasting error is less than 1.6% which shows better accuracy and stability than the traditional LSSVR and Support vector regression. The result of implementation of short-term load forecasting demonstrates that the hybrid model can be used in the short-term forecasting of the power system more efficiently.

2014-01-01T23:59:59.000Z

268

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sánchez The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors,

269

GatorWeather: Student Production of Television/Online Video Eric Gose, San Francisco State University, San Francisco, CA; and E.  

E-Print Network [OSTI]

GatorWeather: Student Production of Television/Online Video Forecasts Eric Gose, San Francisco, students of the meteorology program who were interested in practicing on-air techniques created "Gator Weather". The term "Gator" comes from the fact that the San Francisco State mascot is an alligator (GATOR

270

Cold Weather Hazards  

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

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

271

The Role of Global Observations for Climate and Other Applications  

SciTech Connect (OSTI)

Most of the current earth-observing systems have been designed primarily for the needs of weather forecasting. Weather forecasting is an initial condition problem; the success of the forecast is heavily dependent on the quality of the specified initial state of the atmosphere. Thus, weather forecasting observing systems tend to focus on determining the 3D values of the state variables of the system namely temperature, humidity, and wind vector. While weather forecasting requires accurate observations, spatial patterns and relative accuracy across those patterns are the primary concern. Climate, on the other hand, is a boundary condition problem, i.e., climate simulation depends on knowing the energy fluxes into and out of the system, and quantities such as CO2 that affect the flow of those energy fluxes in the system. Consequently, climate-observing systems must extend beyond measurements of state variables to flux measurements of radiation energy and water. We focus on these two cycles because the dominant forms of energy transfer in the climate system (solar energy, thermal infrared energy, evaporation, and condensation) involve these two quantities. Further, because climate is a search for small system trends and imbalances in the midst of large weather variability, climate observations require a much higher degree of precision than do weather observations.

T.P. Ackerman

2005-05-01T23:59:59.000Z

272

The Role of Global Observations for Climate and Other Applications  

SciTech Connect (OSTI)

Most of the current earth-observing systems have been designed primarily for the needs of weather forecasting. Weather forecasting is an initial condition problem; the success of the forecast is heavily dependent on the quality of the specified initial state of the atmosphere. Thus, weather forecasting observing systems tend to focus on determining the 3D values of the state variables of the system – namely temperature, humidity, and wind vector. While weather forecasting requires accurate observations, spatial patterns and relative accuracy across those patterns are the primary concern. Climate, on the other hand, is a boundary condition problem, i.e., climate simulation depends on knowing the energy fluxes into and out of the system, and quantities such as CO2 that affect the flow of those energy fluxes in the system. Consequently, climate-observing systems must extend beyond measurements of state variables to flux measurements of radiation energy and water. We focus on these two cycles because the dominant forms of energy transfer in the climate system (solar energy, thermal infrared energy, evaporation, and condensation) involve these two quantities. Further, because climate is a search for small system trends and imbalances in the midst of large weather variability, climate observations require a much higher degree of precision than do weather observations.

Ackerman, TP

2005-05-01T23:59:59.000Z

273

Weatherization and Intergovernmental Program: News  

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

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

274

Wind Speeds at Heights Crucial for Wind Energy: Measurements and Verification of Forecasts  

Science Journals Connector (OSTI)

Wind speed measurements from one year from meteorological towers and wind turbines at heights between 20 and 250 m for various European sites are analyzed and are compared with operational short-term forecasts of the global ECMWF model. The ...

Susanne Drechsel; Georg J. Mayr; Jakob W. Messner; Reto Stauffer

2012-09-01T23:59:59.000Z

275

11971197AUGUST 2007AMERICAN METEOROLOGICAL SOCIETY | The Global Ocean Data Assimilation  

E-Print Network [OSTI]

and in situ observations, for NWP, ocean forecasting, ecosystem applications, and climate research. BY C forecasting, military and defence operations, validating or forcing ocean and atmospheric models, ecosystem11971197AUGUST 2007AMERICAN METEOROLOGICAL SOCIETY | The Global Ocean Data Assimilation Experiment

Merchant, Chris

276

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

277

Intelligent weather agent for aircraft severe weather avoidance  

E-Print Network [OSTI]

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

Bokadia, Sangeeta

2012-06-07T23:59:59.000Z

278

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS  

E-Print Network [OSTI]

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS Detlev Heinemann Oldenburg.girodo@uni-oldenburg.de ABSTRACT Solar energy is expected to contribute major shares of the future global energy supply. Due to its and solar energy conversion processes has to account for this behaviour in respective operating strategies

Heinemann, Detlev

279

Journey data based arrival forecasting for bicycle hire schemes  

E-Print Network [OSTI]

Journey data based arrival forecasting for bicycle hire schemes Marcel C. Guenther and Jeremy T. The global emergence of city bicycle hire schemes has re- cently received a lot of attention of future bicycle migration trends, as these assist service providers to ensure availability of bicycles

Imperial College, London

280

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sanchez by Esmeralda Sanchez Errata -(7/14/04) The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors, expressed as the percentage difference between the Reference Case projection and actual historic value, shown for every AEO and for each year in the forecast horizon (for a given variable). The historical data are typically taken from the Annual Energy Review (AER). The last column of Table 1 provides a summary of the most recent average absolute forecast errors. The calculation of the forecast error is shown in more detail in Tables 2 through 18. Because data for coal prices to electric generating plants were not available from the AER, data from the Monthly Energy Review (MER), July 2003 were used.

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


281

Weatherized in November  

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

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

282

Weather and Joints  

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

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

283

Weatherized in October  

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

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

284

Development of short-term forecast quality for new offshore wind farms  

Science Journals Connector (OSTI)

As the rapid wind power build-out continues, a large number of new wind farms will come online but forecasters and forecasting algorithms have little experience with them. This is a problem for statistical short term forecasts, which must be trained on a long record of historical power production – exactly what is missing for a new farm. Focus of the study was to analyse development of the offshore wind power forecast (WPF) quality from beginning of operation up to one year of operational experience. This paper represents a case study using data of the first German offshore wind farm "alpha ventus" and first German commercial offshore wind farm "Baltic1". The work was carried out with measured data from meteorological measurement mast FINO1, measured power from wind farms and numerical weather prediction (NWP) from the German Weather Service (DWD). This study facilitates to decide the length of needed time series and selection of forecast method to get a reliable WPF on a weekly time axis. Weekly development of WPF quality for day-ahead WPF via different models is presented. The models are physical model; physical model extended with a statistical correction (MOS) and artificial neural network (ANN) as a pure statistical model. Selforganizing map (SOM) is investigated for a better understanding of uncertainties of forecast error.

M Kurt; B Lange

2014-01-01T23:59:59.000Z

285

The origins of computer weather prediction and climate modeling  

SciTech Connect (OSTI)

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

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

2008-03-20T23:59:59.000Z

286

ASSIMILATION OF DOPPLER RADAR DATA INTO NUMERICAL WEATHER MODELS  

SciTech Connect (OSTI)

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

Chiswell, S.; Buckley, R.

2009-01-15T23:59:59.000Z

287

6962 weather-resistant [adj  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

288

Weatherization Assistance Program Allocation Formula  

Broader source: Energy.gov [DOE]

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

289

A Guide to Weather Satellites  

Science Journals Connector (OSTI)

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

Lawrence Harris

2010-01-01T23:59:59.000Z

290

The science of space weather  

Science Journals Connector (OSTI)

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

2008-01-01T23:59:59.000Z

291

The Dynamics of Deterministic Chaos in Numerical Weather Prediction Models  

E-Print Network [OSTI]

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

A. Mary Selvam

2003-10-07T23:59:59.000Z

292

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2005 Forecast Comparisons Table 32. Forecasts of annual average economic growth, 2003-2025 Printer Friendly Version Average annual percentage growth Forecast 2003-2009 2003-2014 2003-2025 AEO2004 3.5 3.2 3.0 AEO2005 Reference 3.4 3.3 3.1 Low growth 2.9 2.8 2.5 High growth 4.1 3.9 3.6 GII 3.4 3.2 3.1 OMB 3.6 NA NA CBO 3.5 3.1 NA OEF 3.5 3.5 NA Only one other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a time horizon similar to that of AEO2005. Other organizations address one or more aspects of the energy markets. The most recent projection from GII, as well as other forecasts that concentrate on economic growth, international oil prices, energy

293

Weatherization Assistance Program Success Stories  

Broader source: Energy.gov [DOE]

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

294

States Celebrate National Weatherization Day  

Broader source: Energy.gov [DOE]

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

295

A global blended tropopause based on ERA data, Part II: trends and tropical  

E-Print Network [OSTI]

vorticity has been developed and applied to the European Centre for Medium-Range Weather Forecasts (ECMWF hemisphere. Previous and new metrics for the rate of broadening of the tropics, based on both height and wind

Wirosoetisno, Djoko

296

Price forecasting for notebook computers.  

E-Print Network [OSTI]

??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a… (more)

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

297

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

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

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

298

ORNL Weatherization Program Evaluation | Open Energy Information  

Open Energy Info (EERE)

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

299

Probabilistic manpower forecasting  

E-Print Network [OSTI]

- ing E. Results- Probabilistic Forecasting . 26 27 Z8 29 31 35 36 38 39 IV. CONCLUSIONS. V. GLOSSARY 42 44 APPENDICES REFERENCES 50 70 LIST OF TABLES Table Page Outline of Job-Probability Matrix Job-Probability Matrix. Possible... Outcomes of Job A Possible Outcomes of Jobs A and B 10 Possible Outcomes of Jobs A, B and C II LIST GF FIGURES Figure Page Binary Representation of Numbers 0 Through 7 12 First Cumulative Probability Table 14 3. Graph of Cumulative Probability vs...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

300

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

This paper reports on the development of a diagnostic approach that can be used to examine the sources of numerical model forecast error that contribute to degraded tropical cyclone (TC) motion forecasts. Tropical cyclone motion forecasts depend ...

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

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


301

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

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

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

302

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

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

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

303

GEO Secretariat Global Earth Observing System of  

E-Print Network [OSTI]

and Epidemiology 3. Energy Management 4. Climate Variability & Change 5. Water Management 6. Weather Forecasting 7 Data Sets A Single Data Set Will Serve Many Communities #12;© GEO Secretariat Solar Energy #12;© GEO Secretariat Vegetation greenness profiles North America Vegetation Annual Greenness Profiles 100 120 140 160

304

Project Profile: Forecasting and Influencing Technological Progress...  

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

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

305

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various t...

John T. Mentzer Ph.D.

306

Electricity price forecasting in a grid environment.  

E-Print Network [OSTI]

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

307

Energy Department Forecasts Geothermal Achievements in 2015 ...  

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

Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in...

308

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

309

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Title of Paper Annual Energy Outlook Forecast Evaluation Title of Paper Annual Energy Outlook Forecast Evaluation by Susan H. Holte OIAF has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Natural gas has generally been the fuel with the least accurate forecasts of consumption, production, and prices. Natural gas was the last fossil fuel to be deregulated following the strong regulation of energy markets in the 1970s and early 1980s. Even after deregulation, the behavior

310

PATTERN: Advantages of High Resolution Weather Radar Networks [EVS Event]  

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

PATTERN: Advantages of High Resolution Weather Radar Networks PATTERN: Advantages of High Resolution Weather Radar Networks September 30, 2013 Speaker: Dr. Katharina Lengfeld Meteorological Institute, University of Hamburg, Germany Date: Monday, September 30, 2013 Time: 11 am - 12 noon Location: Argonne National Laboratory TCS Building 240 Room 4301 Precipitation observations with radars operating in the X-band frequency range are essential for meeting present and future requirements for flood forecasting, water management, and other hydro-meteorological applications. Besides having higher resolution, these systems are cost-effective compared to S- or C-band radars because of smaller antenna size. Disadvantages of single X-band radars are the large influence of attenuation by liquid water and a relatively short range.

311

ORNL Weatherization Program Evaluation | Open Energy Information  

Open Energy Info (EERE)

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

312

Weatherization Assistance Program: Spurring Innovation, Increasing Home  

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

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

313

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

SciTech Connect (OSTI)

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

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

2003-11-21T23:59:59.000Z

314

Fish, Weather and People  

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

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

315

Weatherization Roundup | Department of Energy  

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

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

316

WEATHER MODIFICATION BY CARBON DUST ABSORPTION OF SOLAR ENERGY  

E-Print Network [OSTI]

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

Gray, William

317

Weatherization Apprenticeship Program  

SciTech Connect (OSTI)

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

Watson, Eric J

2012-12-18T23:59:59.000Z

318

Space Weather Influence on Satellite-based Navigation and Precise Positioning  

Science Journals Connector (OSTI)

Global Navigation Satellite Systems (GNSS) are widely used to ... of GNSS applications. In particular, disturbed Space Weather conditions can be the origin of strong ... degrades the accuracy of GNSS applications...

R. Warnant; S. Lejeune; M. Bavier

2007-01-01T23:59:59.000Z

319

Bishop Paiute Weatherization Training Program  

SciTech Connect (OSTI)

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

Carlos Hernandez

2010-01-28T23:59:59.000Z

320

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

Paulo Renato A. Firmino; Paulo S. G. De Mattos Neto; Tiago A. E. Ferreira

2014-02-01T23:59:59.000Z

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


321

NOAA Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps  

E-Print Network [OSTI]

Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12 N Collier N Charlotte S Charlotte NOAA Harmful Algal Bloom Operational Forecast System Southwest

322

Waves Forecasters in World War II (with a Brief Survey of Other Women Meteorologists in World War II)  

Science Journals Connector (OSTI)

Out of the nearly 6000 U.S. military officers who were trained to be weather forecasters during World War II, there wore approximately 100 women. They were recruited into the Women Accepted for Volunteer Emergency Service (WAVES) by the U.S. Navy ...

J. M. Lewis

1995-11-01T23:59:59.000Z

323

EERE: Weatherization and Intergovernmental Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Site Map to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Site Map on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Site Map on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Google Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Delicious Rank EERE: Weatherization and Intergovernmental Program - Site Map on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Site Map on AddThis.com... Site Map About Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

324

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

Forecast Energy Forecast Energy Jump to: navigation, search Name Forecast Energy Address 2320 Marinship Way, Suite 300 Place Sausalito, California Zip 94965 Sector Services Product Intelligent Monitoring and Forecasting Services Year founded 2010 Number of employees 11-50 Company Type For profit Website http://www.forecastenergy.net Coordinates 37.865647°, -122.496315° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.865647,"lon":-122.496315,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

325

Price forecasting for notebook computers  

E-Print Network [OSTI]

This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

326

Demand Forecasting of New Products  

E-Print Network [OSTI]

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

327

Global Insight Energy Group  

U.S. Energy Information Administration (EIA) Indexed Site

Outlook Outlook Mary Novak Managing Director IHS Global Insight Copyright © 2010 IHS Global Insight, Inc. Overview: Energy Sector Transformation Underway * The recession has hit energy demand hard, and aggregate energy demand is not expected to return to 2007 levels until 2018. * Oil and natural gas prices will both rise over the long-term, but the price trends will diverge with natural gas prices rising slowly due to the development of shale gas. * This forecast does not include a GHG cap-and-trade program. However, it is assumed that there will be continued improvement in equipment, appliance and building efficiencies that will reduce carbon emissions relative to past projections. * The forecast also includes the more than 30 state- level programs to increase efficiency and reduce

328

Home Weatherization | Department of Energy  

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

Weatherization Weatherization Home Weatherization A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. From air sealing to improving ventilation to adding insulation, home weatherization helps consumers save money by saving energy. Weatherization

329

Wind Forecast Improvement Project Southern Study Area Final Report...  

Office of Environmental Management (EM)

Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern...

330

Applying Bayesian Forecasting to Predict New Customers' Heating Oil Demand.  

E-Print Network [OSTI]

??This thesis presents a new forecasting technique that estimates energy demand by applying a Bayesian approach to forecasting. We introduce our Bayesian Heating Oil Forecaster… (more)

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

331

TMY2 Weather Data | Department of Energy  

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

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...

332

Weatherization and Intergovernmental Program: Department of Labor  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 to someone by E-mail Share Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 on Facebook Tweet about Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 on Twitter Bookmark Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program

333

Weatherization and Intergovernmental Program: Information Resources  

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

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

334

Weatherization and Intergovernmental Program: Tribal Energy Program  

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

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

335

Weatherization and Intergovernmental Program: Technical Assistance  

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

Technical Assistance Technical Assistance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Technical Assistance to someone by E-mail Share Weatherization and Intergovernmental Program: Technical Assistance on Facebook Tweet about Weatherization and Intergovernmental Program: Technical Assistance on Twitter Bookmark Weatherization and Intergovernmental Program: Technical Assistance on Google Bookmark Weatherization and Intergovernmental Program: Technical Assistance on Delicious Rank Weatherization and Intergovernmental Program: Technical Assistance on Digg Find More places to share Weatherization and Intergovernmental Program: Technical Assistance on AddThis.com... Quick Links Solution Center Weatherization Assistance Program Technical Assistance Center

336

Weatherization and Intergovernmental Program: Recovery Act  

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

Recovery Act to someone by E-mail Share Weatherization and Intergovernmental Program: Recovery Act on Facebook Tweet about Weatherization and Intergovernmental Program: Recovery Act on Twitter Bookmark Weatherization and Intergovernmental Program: Recovery Act on Google Bookmark Weatherization and Intergovernmental Program: Recovery Act on Delicious Rank Weatherization and Intergovernmental Program: Recovery Act on Digg Find More places to share Weatherization and Intergovernmental Program: Recovery Act on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program WAP - Sustainable Energy Resources for Consumers Grants WAP - Weatherization Innovation Pilot Program State Energy Program Energy Efficiency & Conservation Block Grant Program

337

Monitoring Plan for Weatherization Assistance Program, State...  

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

Monitoring Plan for Weatherization Assistance Program, State Energy Program and Energy Efficiency and Conservation Block Grants Monitoring Plan for Weatherization Assistance...

338

Management of Weather and Climate Disputes  

E-Print Network [OSTI]

than intentional climate modification may as a by- productuse weather and climate modification techniques for hostilekinds of weather and climate modification, a sophisticated

Weiss, Edith Brown

1983-01-01T23:59:59.000Z

339

Administration Announces Nearly $8 Billion in Weatherization...  

Office of Environmental Management (EM)

Administration Announces Nearly 8 Billion in Weatherization Funding and Energy Efficiency Grants Administration Announces Nearly 8 Billion in Weatherization Funding and Energy...

340

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

Energy Savers [EERE]

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

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


341

WEATHERIZATION ANNUAL FILE WORKSHEET | Department of Energy  

Energy Savers [EERE]

is designed to gather specific detail related to the expenditures of the Weatherization grant. WEATHERIZATION ANNUAL FILE WORKSHEET More Documents & Publications DOE F 540.3 DOE F...

342

Weatherization Assistance Program | Department of Energy  

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

About the Office Weatherization Assistance Program Where to Apply for Assistance What is Weatherization Goals & Metrics Pilot Projects Success Stories Guidelines for Home Energy...

343

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

344

Commercial Weatherization | Department of Energy  

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

Commercial Weatherization Commercial Weatherization Commercial Weatherization When high energy bills and a dwindling customer base threatened the Athenian Corner's well-being, the restaurant turned to energy efficiency upgrades to help operating costs and improve its bottom line. Learn how energy efficiency upgrades are helping the Athenian Corner be a viable business. When high energy bills and a dwindling customer base threatened the Athenian Corner's well-being, the restaurant turned to energy efficiency upgrades to help operating costs and improve its bottom line. Learn how energy efficiency upgrades are helping the Athenian Corner be a viable business. Commercial buildings consume 19 percent of the energy used in the U.S.

345

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

Ensemble prediction systems produce forecasts that represent the probability distribution of a continuous forecast variable. Most often, the verification problem is simplified by transforming the ensemble forecast into probability forecasts for ...

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

346

Oldest and Largest The Weather  

E-Print Network [OSTI]

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

347

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: * Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the

348

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

349

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

We used experimental economics to test whether undergraduate students presented with a temperature forecast with uncertainty information in a table and bar graph format were able to use the extra information to interpret a given forecast. ...

Pricilla Marimo; Todd R. Kaplan; Ken Mylne; Martin Sharpe

350

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network [OSTI]

FORECASTING THE ROLE OF RENEWABLES IN HAWAII Jayant SathayeFORECASTING THE ROLF OF RENEWABLES IN HAWAII J Sa and Henrythe Conservation Role of Renewables November 18, 1980 Page 2

Sathaye, Jayant

2013-01-01T23:59:59.000Z

351

Massachusetts state airport system plan forecasts.  

E-Print Network [OSTI]

This report is a first step toward updating the forecasts contained in the 1973 Massachusetts State System Plan. It begins with a presentation of the forecasting techniques currently available; it surveys and appraises the ...

Mathaisel, Dennis F. X.

352

Forecasting Water Use in Texas Cities  

E-Print Network [OSTI]

In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously...

Shaw, Douglas T.; Maidment, David R.

353

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect (OSTI)

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

354

Weatherization and Intergovernmental Program: Recovery Act and the  

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

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

355

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.

356

Weatherization and Intergovernmental Program Success Stories  

Broader source: Energy.gov [DOE]

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

357

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

358

Consensus Coal Production And Price Forecast For  

E-Print Network [OSTI]

Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

Mohaghegh, Shahab

359

EERE: Weatherization and Intergovernmental Program - Contacts  

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

Contacts Contacts Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Contacts to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Contacts on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Contacts on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Contacts on Google Bookmark EERE: Weatherization and Intergovernmental Program - Contacts on Delicious Rank EERE: Weatherization and Intergovernmental Program - Contacts on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Contacts on AddThis.com... Contacts Web site and program contacts are provided below. Web Site Contact Send us your comments, report problems, and/or ask questions about

360

Weatherization and Intergovernmental Program: Historic Preservation  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Historic Preservation to someone by E-mail Share Weatherization and Intergovernmental Program: Historic Preservation on Facebook Tweet about Weatherization and Intergovernmental Program: Historic Preservation on Twitter Bookmark Weatherization and Intergovernmental Program: Historic Preservation on Google Bookmark Weatherization and Intergovernmental Program: Historic Preservation on Delicious Rank Weatherization and Intergovernmental Program: Historic Preservation on Digg Find More places to share Weatherization and Intergovernmental Program: Historic Preservation on AddThis.com... Closeout Guidance Recovery Act Monitoring & Reporting

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


361

Weatherization and Intergovernmental Program: Closeout Guidance  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Closeout Guidance to someone by E-mail Share Weatherization and Intergovernmental Program: Closeout Guidance on Facebook Tweet about Weatherization and Intergovernmental Program: Closeout Guidance on Twitter Bookmark Weatherization and Intergovernmental Program: Closeout Guidance on Google Bookmark Weatherization and Intergovernmental Program: Closeout Guidance on Delicious Rank Weatherization and Intergovernmental Program: Closeout Guidance on Digg Find More places to share Weatherization and Intergovernmental Program: Closeout Guidance on AddThis.com... Closeout Guidance Recovery Act Monitoring & Reporting National Environmental Policy Act

362

Weatherization and Intergovernmental Program: Program Guidance  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Program Guidance to someone by E-mail Share Weatherization and Intergovernmental Program: Program Guidance on Facebook Tweet about Weatherization and Intergovernmental Program: Program Guidance on Twitter Bookmark Weatherization and Intergovernmental Program: Program Guidance on Google Bookmark Weatherization and Intergovernmental Program: Program Guidance on Delicious Rank Weatherization and Intergovernmental Program: Program Guidance on Digg Find More places to share Weatherization and Intergovernmental Program: Program Guidance on AddThis.com... Closeout Guidance Recovery Act Monitoring & Reporting National Environmental Policy Act

363

Weatherization Assistance Program | Open Energy Information  

Open Energy Info (EERE)

Weatherization Assistance Program Weatherization Assistance Program Jump to: navigation, search Name Weatherization Assistance Program Place Washington, DC Website http://http://www1.eere.energy References Weatherization Assistance Program[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Weatherization Assistance Program is a company located in Washington, DC. References ↑ "Weatherization Assistance Program" Retrieved from "http://en.openei.org/w/index.php?title=Weatherization_Assistance_Program&oldid=381735" Categories: Clean Energy Organizations

364

Weatherization and Intergovernmental Program: Financial Opportunities  

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

Financial Financial Opportunities Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Financial Opportunities to someone by E-mail Share Weatherization and Intergovernmental Program: Financial Opportunities on Facebook Tweet about Weatherization and Intergovernmental Program: Financial Opportunities on Twitter Bookmark Weatherization and Intergovernmental Program: Financial Opportunities on Google Bookmark Weatherization and Intergovernmental Program: Financial Opportunities on Delicious Rank Weatherization and Intergovernmental Program: Financial Opportunities on Digg Find More places to share Weatherization and Intergovernmental Program: Financial Opportunities on AddThis.com... Financial Opportunities On this page, you can read about how the U.S. Department of Energy (DOE)

365

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

Office of Science (SC) Website

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

366

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

E-Print Network [OSTI]

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

Moelders, Nicole

367

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation Evaluation Annual Energy Outlook Forecast Evaluation by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the impacts were not incorporated in the AEO projections until their enactment or effective dates in accordance with EIA's requirement to remain policy neutral and include only current laws and regulations in the AEO reference case projections.

368

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

369

Load Forecasting of Supermarket Refrigeration  

E-Print Network [OSTI]

energy system. Observed refrigeration load and local ambient temperature from a Danish su- permarket renewable energy, is increasing, therefore a flexible energy system is needed. In the present ThesisLoad Forecasting of Supermarket Refrigeration Lisa Buth Rasmussen Kongens Lyngby 2013 M.Sc.-2013

370

Essays on macroeconomics and forecasting  

E-Print Network [OSTI]

explanatory variables. Compared to Stock and Watson (2002)�s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Liu, Dandan

2006-10-30T23:59:59.000Z

371

Possible global warming futures Minh Ha-Duong  

E-Print Network [OSTI]

Possible global warming futures Minh Ha-Duong Minh.Ha.Duong@cmu.edu CNRS, France HDGC, Carnegie Mellon Possible global warming futures ­ p.1/36 #12;SRES: Forecasts or scenarios? +5.5 C in 2100 the controversy using imprecise probabilities, a more general information theory. . . Possible global warming

372

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (Syntetos–Boylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very ‘robust’ behaviour. In a 2005 article, entitled ‘On the categorisation of demand patterns’ published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

G. Heinecke; A.A. Syntetos; W. Wang

2013-01-01T23:59:59.000Z

373

Use of wind power forecasting in operational decisions.  

SciTech Connect (OSTI)

The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V. (Decision and Information Sciences); (INESC Porto)

2011-11-29T23:59:59.000Z

374

Cathy Zoi on Weatherization | Department of Energy  

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

Weatherization Weatherization Cathy Zoi on Weatherization Addthis Description The Weatherization Assistance Program is now weatherizing 25,000 homes each month. So far 10,000 jobs have been created under the Recovery Act. Speakers Cathy Zoi Duration 1:41 Topic Home Weatherization Energy Economy Credit Energy Department Video CATHY ZOI: Hi, there. I'm Cathy Zoi, assistant secretary of energy at the Department of Energy, and I'm here to talk a little bit about the Weatherization Assistance Program. As you all know, the weatherization program was funded to the tune of $5 billion under the recovery act, and that was a huge ramp-up from what we had in the past. What I'm here to say to you is, congratulations, because we've actually reached our run rate. We are now weatherizing

375

Load Pocket Forecasting Software E. A. Feinberg, D. Genethliou, J.T. Hajagos, B.G. Irrgang, and R. J. Rossin  

E-Print Network [OSTI]

pockets and to modify the existing ones. Index Terms--Load forecasting, power system planning I and load data, estimates weather-normalized electric loads, computes design- day parameters, computes data, extrapolating past load growth patterns into the future. The most common trending method

Feinberg, Eugene A.

376

Predicting the microbial "weather" | Argonne National Laboratory  

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

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

377

2008 Weatherization and Intergovernmental Program (WIP) Market Report  

SciTech Connect (OSTI)

The Weatherization and Intergovernmental Program (WIP) integrates local needs and interests in order to promote markets for energy efficiency (EE) and renewable energy (RE). Its activities are integrative across disparate technologies and market boundaries. In order to analyze the historical performance and forward-looking potential of this broad program, this report assesses market developments and outlooks at the following aggregated levels: states, cities and communities, Indian tribes, and low-income residential efficiency. The analytical goals of the report are to: identify market drivers for EE and RE, paying attention to subsidies, taxes, targets and mandates, environmental policy, energy security, and economic development; assess efficacy of existing policies; discuss challenges and barriers; evaluate high-impact measures for overcoming challenges and barriers; and forecast future market trends.

Doris, E.; Taylor, R.

2009-07-01T23:59:59.000Z

378

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

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

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

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

2009-10-27T23:59:59.000Z

379

Weatherization and Intergovernmental Program: Sustainable Energy Resources  

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

Sustainable Energy Resources for Consumers (SERC) Grants to someone by E-mail Share Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Facebook Tweet about Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Twitter Bookmark Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Google Bookmark Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Delicious Rank Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Digg Find More places to share Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on

380

Weatherization and Intergovernmental Program: Energy Efficiency and  

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

About About Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program to someone by E-mail Share Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Facebook Tweet about Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Twitter Bookmark Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Google Bookmark Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Delicious Rank Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Digg

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


381

Forecasting wind speed financial return  

E-Print Network [OSTI]

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

382

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

SciTech Connect (OSTI)

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

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

2014-06-01T23:59:59.000Z

383

On Bayesian forecasting of procurement delays: a case study: Research Articles  

Science Journals Connector (OSTI)

In the engineering and contracting sector, the on-time availability of materials is a crucial element of any project. In recent years, there has been increasing competition in the supply of such components, as a result of market globalization. This has ... Keywords: bidding process, delivery times' forecasts, dynamic linear models, procurement process, project management

Jesus Palomo; Fabrizio Ruggeri; David Rios Insua; Enrico Cagno; Franco Caron; Mauro Mancini

2006-03-01T23:59:59.000Z

384

Aviation Weather Information Requirements Study  

Science Journals Connector (OSTI)

The Aviation Safety Program (AvSP) has as its goal an improvement in aviation safety by a factor of 5 over the next 10 years and a factor of 10 over the next 20 years. Since weather has a big impact on aviation safety and is associated with 30 percent ...

Keel Byron M.; Stancil Charles E.; Eckert Clifford A.; Brown Susan M.; Gimmestad Gary G.; Richards Mark A.

2000-06-01T23:59:59.000Z

385

Weatherization and Intergovernmental Programs Office  

Broader source: Energy.gov [DOE]

The Weatherization and Intergovernmental Programs Office strategically coordinates with state, local, tribal, and K-12 school district leaders to accelerate the adoption of energy efficiency and renewable energy technologies and best practices. These partnerships help American communities, businesses, and industries overcome barriers to a viable clean energy economy.

386

Weatherization Program Notice 10-13A | Department of Energy  

Office of Environmental Management (EM)

Weatherization Program Notice 10-13A Weatherization Program Notice 10-13A waparrareportingrequirements.pdf More Documents & Publications Monitoring Plan for Weatherization...

387

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

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

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

388

Homes Weatherized by State March 2010 | Department of Energy  

Energy Savers [EERE]

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

389

Weather-Corrected Performance Ratio  

SciTech Connect (OSTI)

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

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

2013-04-01T23:59:59.000Z

390

Response to Weatherization Questions | Department of Energy  

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

Response to Weatherization Questions Response to Weatherization Questions Response to Weatherization Questions August 30, 2010 - 4:53pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs Last week as part of Vice President Biden's announcement of 200,000 homes weatherized under the Recovery act, we asked you to send us your questions and comments about the weatherization process. Today, we're following up with answers experts from the Department's Weatherization and Intergovernmental Program: 1) From edmooney via Twitter: @Energy Besides caulking, what are the best values in weatherization for the Northeast region. #weatherization Nationwide, the energy-efficient retrofits that consistently provide the best return on investment involve sealing gaps in the building envelope

391

Space Weather and Hazards to Application Satellites  

Science Journals Connector (OSTI)

“Space weather” is defined by the US National Space Weather Program as referring to “conditions on the ... health.” From the viewpoint of an application satellite, the space environment is a hostile, ... is thus ...

Dr. Michael J. Rycroft

2013-01-01T23:59:59.000Z

392

Bridge Spans from a Weathering Steel  

Science Journals Connector (OSTI)

Weathering steels, including those unpainted, have come to ... structures. In Russia, such an application of weathering steels began by the end of 1980s. The ... atmospheric and climatic zones, are reported. The

A. D. Konyukhov; E. M. Ruvinskaya

2002-01-01T23:59:59.000Z

393

Funding Opportunity Announcement: Weatherization Innovation Pilot Program  

Broader source: Energy.gov [DOE]

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.

394

Aging and weathering of cool roofing membranes  

E-Print Network [OSTI]

Canada ABSTRACT Aging and weathering can reduce the solarsolar reflectance of 25 weathered roofing membranes from 25 cities across the United States and Canada.Canada. The LBNL study included measuring the spectral solar

2005-01-01T23:59:59.000Z

395

Response to Weatherization Questions | Department of Energy  

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

Response to Weatherization Questions Response to Weatherization Questions Response to Weatherization Questions August 30, 2010 - 4:53pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs Last week as part of Vice President Biden's announcement of 200,000 homes weatherized under the Recovery act, we asked you to send us your questions and comments about the weatherization process. Today, we're following up with answers experts from the Department's Weatherization and Intergovernmental Program: 1) From edmooney via Twitter: @Energy Besides caulking, what are the best values in weatherization for the Northeast region. #weatherization Nationwide, the energy-efficient retrofits that consistently provide the best return on investment involve sealing gaps in the building envelope

396

The Operational Weather Radar Network in Europe  

Science Journals Connector (OSTI)

The operational weather radar network in Europe covers more than 30 countries and contains more than 200 weather radars. The radar network is heterogeneous in hardware, signal processing, transmit/receive frequency, and scanning strategy, thus making it ...

Asko Huuskonen; Elena Saltikoff; Iwan Holleman

2014-06-01T23:59:59.000Z

397

Surface Water Geochemistry and Chemical Weathering Across Panama  

Science Journals Connector (OSTI)

A geochemical study of rivers and streams was undertaken across Panama during 2005-09, from the Lago Bayano area in the east to the Costa Rican border in the west. Low overall dissolved solute contents (TDS = 145±160 mg/L) suggest a short residence time for infiltrating precipitation in the weathering zone. Watershed lithology exerts the main control on riverine chemistry, with streams on marine sedimentary rocks having higher dissolved solids loads than those on igneous rocks, with the latter exhibiting the highest silica contents and increasing trends of total cations with increasing dissolved silica. This feature and the large degree of compositional overlap between large rivers and small tributary streams implies that chemical weathering of silicate materials in the soil zone is the predominant process determining the geochemistry of streams and rivers in this tropical environment. Silicate weathering rates (Casil+Mgsil+Na+K) range over more than an order in magnitude from 2.5 to 28.4 tons/km2/y, whilst \\{H4SiO4\\} yields range from 7.1 to 65 tons/km2/y. Basin-wide CO2 consumption yields by silicate weathering, calculated from total cation content (corrected for sea salt contribution), basin area and discharge, are high on a global basis.

Russell S. Harmon; W. Berry Lyons; Christopher B. Gardner; Steven T. Goldsmith; David T. Long; Helena Mitasova; Susan Welch; Kathy Welch

2013-01-01T23:59:59.000Z

398

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multimodel Ensemble Forecasts  

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 1–7-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

399

Satellite Application Facility for Numerical Weather Prediction  

E-Print Network [OSTI]

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

Stoffelen, Ad

400

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

E-Print Network [OSTI]

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

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


401

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

H Tables H Tables Appendix H Comparisons With Other Forecasts, and Performance of Past IEO Forecasts for 1990, 1995, and 2000 Forecast Comparisons Three organizations provide forecasts comparable with those in the International Energy Outlook 2005 (IEO2005). The International Energy Agency (IEA) provides “business as usual” projections to the year 2030 in its World Energy Outlook 2004; Petroleum Economics, Ltd. (PEL) publishes world energy forecasts to 2025; and Petroleum Industry Research Associates (PIRA) provides projections to 2015. For this comparison, 2002 is used as the base year for all the forecasts, and the comparisons extend to 2025. Although IEA’s forecast extends to 2030, it does not publish a projection for 2025. In addition to forecasts from other organizations, the IEO2005 projections are also compared with those in last year’s report (IEO2004). Because 2002 data were not available when IEO2004 forecasts were prepared, the growth rates from IEO2004 are computed from 2001.

402

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

403

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

404

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

Huge market forecast for linear LDPE ... It now appears that the success of the new technology, which rests largely on energy and equipment cost savings, could be overwhelming. ...

1980-08-25T23:59:59.000Z

405

Regional forecasting with global atmospheric models; Final report  

SciTech Connect (OSTI)

The purpose of the project was to conduct model simulations for past and future climate change with respect to the proposed Yucca Mtn. repository. The authors report on three main topics, one of which is boundary conditions for paleo-hindcast studies. These conditions are necessary for the conduction of three to four model simulations. The boundary conditions have been prepared for future runs. The second topic is (a) comparing the atmospheric general circulation model (GCM) with observations and other GCMs; and (b) development of a better precipitation data base for the Yucca Mtn. region for comparisons with models. These tasks have been completed. The third topic is preliminary assessments of future climate change. Energy balance model (EBM) simulations suggest that the greenhouse effect will likely dominate climate change at Yucca Mtn. for the next 10,000 years. The EBM study should improve rational choice of GCM CO{sub 2} scenarios for future climate change.

Crowley, T.J.; Smith, N.R. [Applied Research Corp., College Station, TX (United States)

1994-05-01T23:59:59.000Z

406

NOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future)  

E-Print Network [OSTI]

conditions for up to 5 days in the future. These forecasts are run twice daily, and you can step through are generated every 6 hours and you can step backward in hourly increments to view conditions over the previousNOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future) and Nowcasts

407

IWAL – an Interactive Weather Analysis Laboratory  

Science Journals Connector (OSTI)

CAPSULE: IWAL is a web-based educational software tool that enables curiosity driven learning by very flexibly visualizing meteorological data from forecasts, analyses and satellite.

Sebastian Limbach; Michael Sprenger; Elmar Schömer; Heini Wernli

408

Tropical cyclones in the UPSCALE ensemble of high resolution global climate models  

Science Journals Connector (OSTI)

The UPSCALE (UK on PRACE: weather-resolving Simulations of Climate for globAL Environmental risk) project, using PRACE (Partnership for Advanced Computing in Europe) resources, constructed and ran an ensemble of atmosphere-only global climate ...

Malcolm J. Roberts; Pier Luigi Vidale; Matthew S. Mizielinski; Marie-Estelle Demory; Reinhard Schiemann; Jane Strachan; Kevin Hodges; Ray Bell; Joanne Camp

409

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

410

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network [OSTI]

Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

411

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

In this study, an ensemble typhoon quantitative precipitation forecast (ETQPF) model was developed to provide typhoon rainfall forecasts for Taiwan. The ETQPF rainfall forecast is obtained by averaging the pick-out cases, which are screened at a ...

Jing-Shan Hong; Chin-Tzu Fong; Ling-Feng Hsiao; Yi-Chiang Yu; Chian-You Tzeng

412

Unit commitment with wind power generation: integrating wind forecast uncertainty and stochastic programming.  

SciTech Connect (OSTI)

We present a computational framework for integrating the state-of-the-art Weather Research and Forecasting (WRF) model in stochastic unit commitment/energy dispatch formulations that account for wind power uncertainty. We first enhance the WRF model with adjoint sensitivity analysis capabilities and a sampling technique implemented in a distributed-memory parallel computing architecture. We use these capabilities through an ensemble approach to model the uncertainty of the forecast errors. The wind power realizations are exploited through a closed-loop stochastic unit commitment/energy dispatch formulation. We discuss computational issues arising in the implementation of the framework. In addition, we validate the framework using real wind speed data obtained from a set of meteorological stations. We also build a simulated power system to demonstrate the developments.

Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; Anitescu, M. (Mathematics and Computer Science); (Univ. of Chicago); (New York Univ.)

2009-10-09T23:59:59.000Z

413

Home Weatherization Visit | Department of Energy  

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

Weatherization Visit Weatherization Visit Home Weatherization Visit Addthis Description 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. Speakers Secretary Steven Chu Duration 2:45 Topic Tax Credits, Rebates, Savings Home Weatherization Home Energy Audits Energy Sector Jobs Credit Energy Department Video SECRETARY OF ENERGY STEVEN CHU: In this weatherization program, we are - we're investing money that - so we can hire local people to do the work. You save the money. That money then goes back into the economy locally. And oh, by the way, you're not - using less energy, so that

414

Ohio Celebrates Recovery Act Weatherization Program Performance |  

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

Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance June 10, 2010 - 12:41pm Addthis Ohio Celebrates Recovery Act Weatherization Program Performance Joshua DeLung What are the key facts? More than 10,000 Ohio homes have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio has reached a milestone in the clean energy economy - more than 10,000 homes in the state have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio officials celebrated the success of weatherization work funded by the American Recovery and Reinvestment Act with about 100 attendees at a

415

Ohio Celebrates Recovery Act Weatherization Program Performance |  

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

Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance June 10, 2010 - 12:41pm Addthis Ohio Celebrates Recovery Act Weatherization Program Performance Joshua DeLung What are the key facts? More than 10,000 Ohio homes have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio has reached a milestone in the clean energy economy - more than 10,000 homes in the state have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio officials celebrated the success of weatherization work funded by the American Recovery and Reinvestment Act with about 100 attendees at a

416

Weather and the Transport of Hazardous Materials  

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

FHWA FHWA R d W h M P FHWA R d W h M P FHWA Road Weather Management Program FHWA Road Weather Management Program " "Weather and the transport of Hazardous Materials" Ray Murphy Office of Technical Services Ray Murphy, Office of Technical Services U.S. DOT - Federal Highway Administration Breako t Session Using Technolog to Dispatch U.S. DOE National Transportation Stakeholder Forum Breakout Session: Using Technology to Dispatch and Monitor Shipments During Adverse Conditions Presentation Contents Presentation Contents * * Context Context Cl Cl I iti ti I iti ti * * Clarus Clarus Initiative Initiative * * Connected Vehicles & Weather Connected Vehicles & Weather Connected Vehicles & Weather Connected Vehicles & Weather U.S. DOE National Transportation Stakeholder Forum

417

Weatherizing Wilkes-Barre | Department of Energy  

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

Weatherizing Wilkes-Barre Weatherizing Wilkes-Barre Weatherizing Wilkes-Barre Addthis Description 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. Speakers Joe Calore, Paul Dunn, Glenn Curtis Duration 2:29 Topic Heating & Cooling Home Weatherization Consumption Recovery Act Energy Sector Jobs Credit Energy Department Video JOE CALORE: My name's Joe Calore. I'm the deputy weatherization director for Commission on Economic Opportunity in Wilkes-Barre, Pennsylvania. Weatherization is a program funded by the U.S. Department of Energy, and the concept is to perform work on homes to make homes more energy-efficient. Of the Recovery Act money, $5 billion was allocated towards the

418

Forecast of geothermal drilling activity  

SciTech Connect (OSTI)

The numbers of each type of geothermal well expected to be drilled in the United States for each 5-year period to 2000 AD are specified. Forecasts of the growth of geothermally supplied electric power and direct heat uses are presented. The different types of geothermal wells needed to support the forecasted capacity are quantified, including differentiation of the number of wells to be drilled at each major geothermal resource for electric power production. The rate of growth of electric capacity at geothermal resource areas is expected to be 15 to 25% per year (after an initial critical size is reached) until natural or economic limits are approached. Five resource areas in the United States should grow to significant capacity by the end of the century (The Geysers; Imperial Valley; Valles Caldera, NM; Roosevelt Hot Springs, UT; and northern Nevada). About 3800 geothermal wells are expected to be drilled in support of all electric power projects in the United States between 1981 and 2000 AD. Half of the wells are expected to be drilled in the Imperial Valley. The Geysers area is expected to retain most of the drilling activity for the next 5 years. By the 1990's, the Imperial Valley is expected to contain most of the drilling activity.

Brown, G.L.; Mansure, A.J.

1981-10-01T23:59:59.000Z

419

New Concepts in Wind Power Forecasting Models  

E-Print Network [OSTI]

New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind for more accurate short term wind power forecasting models has led to solid and impressive development

Kemner, Ken

420

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near-surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

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


421

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near­surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

422

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network [OSTI]

: Technology Forecast, Laws of Technical systems evolution, Analysis of Contradictions. 1. Introduction Let us: If technology forecasting practice remains at the present level, it is necessary to significantly improve to new demands (like Green House Gases - GHG Effect reduction or covering exploded nuclear reactor

Paris-Sud XI, Université de

423

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network [OSTI]

deficits. After solid 3% growth this year, real GDP growth will recede a bit for the next two years. New household spending. Real GDP will firm above 3% in 2015. · The pace of growth in China has continuedUHERO FORECAST PROJECT DECEMBER 5, 2014 Asia-Pacific Forecast: Press Version: Embargoed Until 2

424

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

This chapter presents a forecasting support system based on the exponential smoothing scheme to forecast time-series data. Exponential smoothing methods are simple to apply, which facilitates...

Ana Corberán-Vallet; José D. Bermúdez; José V. Segura…

2010-01-01T23:59:59.000Z

425

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network [OSTI]

??The research deals with improved prediction of runway usage for noise forecast. Since the accuracy of the noise forecast depends on the robustness of runway… (more)

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

426

The Wind Forecast Improvement Project (WFIP): A Public/Private...  

Energy Savers [EERE]

Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast...

427

PBL FY 2002 Third Quarter Review Forecast of Generation Accumulated...  

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

Power Business Line Generation Accumulated Net Revenues Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) FY 2002 Third Quarter Review Forecast in Millions...

428

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

E-Print Network [OSTI]

, shows that LDAR II lightning source heights (quartile, median, and 95th percentile heights) increased as the storms intensified. Most of the total lightning occurred where reflectivity cores extended upwards and within regions of reflectivity gradient...

Steiger, Scott Michael

2007-04-25T23:59:59.000Z

429

Day-Ahead Solar Resource Prediction Method Using Weather Forecasts for Peak Shaving.  

E-Print Network [OSTI]

??Due to recent concerns about energy sustainability, solar power is becoming more prevalent in distributed power generation. There are still obstacles which need to be… (more)

Greenwood, Wesley

2014-01-01T23:59:59.000Z

430

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

E-Print Network [OSTI]

and validation.   Solar Energy.   73:5, 307? Perez, R. , using satellite data.   Solar Energy 67:1?3, 139?150.  solar radiation.   Solar Energy  Management for Electricity 

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

431

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

Science Journals Connector (OSTI)

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

Juan Pablo Silva, José Hagopian, Marcel Burdiat, Ernesto Dufrechou, Martín Pedemonte, Alejandro Gutiérrez, Gabriel Cazes, Pablo Ezzatti

2014-11-01T23:59:59.000Z

432

Use of Weather and Occupancy Forecasts for Optimal Building Climate Control  

E-Print Network [OSTI]

·Electric lighting ·Heating: radiators ·Cooling: slow ceiling ­ mechanical chiller ­ free cooling with wet of buildings; reducing peak electricity demand. Expected Results: ·Methods ·Software/tools ·Benefit Version 15. Jan. 2009 4 OptiControl ­ Research Partners · ETH Systems Ecology Group Modeling

Fischlin, Andreas

433

NCEP Contributions to the WMO Severe Weather Forecasting Demonstration Project (SWFDP) and to the African Monsoon  

E-Print Network [OSTI]

wind convergences over Ethiopia, DCR, Gabon, Cameroon, CAR, and Congo-Brazzaville and the neighboring of Nigeria, Southern Chad, Cameroon, portion of Gabon, northern Congo-Brazzaville and DRC, Southern Sudan Gabon, Camer

434

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

E-Print Network [OSTI]

Airport, Boston Logan International Airport, Chicago O’Hareairports: Boston Logan International Airport (BOS), ChicagoAirport (LAX), Boston Logan International Airport (BOS) and

Buxi, Gurkaran

2012-01-01T23:59:59.000Z

435

SPC Fire Weather Forecast Criteria Critical for temperature, wind, and relative humidity  

E-Print Network [OSTI]

the Energy Release Component (ERC) for fuel model G and 100 hr fuel moistures, which are available from: - Sustained winds 20 mph or greater (15 mph Florida) - Minimum relative humidity at or below regional thresholds (Fig. 1) - Temperatures above 50-60° F, depending on the season - Dry fuels (as defined below

436

An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment  

E-Print Network [OSTI]

Adam J. Clark2 , Steven J. Weiss1 , John S. Kain2 , Israel L. Jirak1 , Michael Coniglio2 , Christopher J. Melick1,9 , Christopher Siewert1,9 , Ryan A. Sobash3 , Patrick T. Marsh2,3 , Andrew R. Dean1 , Ming Xue3,4 , Fanyou Kong4 , Kevin W. Thomas4 , Yunheng Wang4 , Keith Brewster4 , Jidong Gao2 , Xuguang

Xue, Ming

437

TechNoteswww.ll.mit.edu July 2014 Weather forecasts are critical to effectively  

E-Print Network [OSTI]

contains the radiometer installed at the top and the CubeSat bus whose solar panels open out once in orbit a host satellite, it will fly with its solar panels opened out like petals of a flower. These panels Administration under U.S. Air Force Contract FA8721-05-C-0002. Opinions, interpretations, conclusions

Reif, Rafael

438

Probabilistic Forecasts of (Severe) Thunderstorms for the Purpose of Issuing a Weather Alarm in the Netherlands  

E-Print Network [OSTI]

in the Netherlands MAURICE J. SCHMEITS, KEES J. KOK, DAAN H. P. VOGELEZANG, AND RUDOLF M. VAN WESTRHENEN Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands (Manuscript received 12 December 2007 for severe thunderstorms, based on high total lightning intensity, should be issued in the Netherlands

Schmeits, Maurice

439

Characterization of the Weatherization Assistance Program network. Weatherization Assistance Program  

SciTech Connect (OSTI)

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.

Mihlmester, P.E.; Koehler, W.C. Jr.; Beyer, M.A. [Aspen Systems Corp., Oak Ridge, TN (United States). Applied Management Sciences Div.; Brown, M.A. [Oak Ridge National Lab., TN (United States); Beschen, D.A. Jr. [Department of Energy, Washington, DC (United States). Office of Weatherization Assistance Programs

1992-02-01T23:59:59.000Z

440

1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.  

SciTech Connect (OSTI)

This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

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


441

Maine's Weatherization Milestones | Department of Energy  

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

Maine's Weatherization Milestones Maine's Weatherization Milestones Maine's Weatherization Milestones August 24, 2010 - 5:44pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? Thanks to $41.9 million in funding from the Recovery Act, the state of Maine expects to weatherize more than 4,400 homes Maine's state motto - "dirigo," Latin for "I lead," - is very fitting, especially when it comes to weatherization. With the help of nearly $41.9 million in funding from the Recovery Act, the state expects to weatherize more than 4,400 homes - creating jobs, reducing carbon emissions, and saving money for Maine's low-income families. Cathy Zoi, DOE's Assistant Secretary for Energy Efficiency and Renewable Energy and Maine's Governor John Baldacci spoke on a conference call last

442

The Impact of Weatherization | Department of Energy  

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

The Impact of Weatherization The Impact of Weatherization The Impact of Weatherization July 26, 2010 - 4:09pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? 25,000 homes weatherized a month. 82,000 homes this summer versus 3,000 last summer. As I mentioned last week, it's brutally hot outside right now. Temperature records are being shattered all across the country - and while we're always looking for ways to keep cool, weatherization is one process that guards a home against extreme temperatures on both ends of the thermometer. Whether it's installing cooling systems in areas of the country that can't catch a break from the heat, or caulking and insulating cracks in states where harsh winters seem almost endless, weatherizing your home can save more than $400 in the first year on heating

443

Celebrating National Weatherization Day | Department of Energy  

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

Weatherization Day Weatherization Day Celebrating National Weatherization Day November 1, 2010 - 1:55pm Addthis Watch the video above to get a firsthand look at the work happening in Wilkes-Barre, Pennsylvania under the weatherization program. Secretary Chu Secretary Chu Former Secretary of Energy This weekend, communities across the country celebrated National Weatherization Day, highlighting the important work happening nationwide to save money for America's homeowners by investing in energy efficiency. As a result of the Recovery Act weatherization program, more than 245,000 low-income families have had their homes upgraded, which means these families are paying lower energy bills every month. The program has also helped to put thousands of workers on the job every day, helping to grow

444

Clark Public Utilities - Residential Weatherization Loan Program |  

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

Weatherization Loan Program Weatherization Loan Program Clark Public Utilities - Residential Weatherization Loan Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Windows, Doors, & Skylights Maximum Rebate $15,000 Program Info State District of Columbia Program Type Utility Loan Program Rebate Amount up to $15,000 Provider Clark Public Utilities Loans of up to $15,000 at a 5.25% interest are available through Clark Public Utilities' Weatherization Loan Program. The loans can pay for the average local cost of eligible measures, based on recently completed projects. Customers have up to seven years to repay the loans, but monthly payments will be at least $25. The utility charges a $225 or $350 loan set-up fee, depending on the loan amount, which can be paid up front or

445

Little Climates -- Weather Just Above The Ground  

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

Weather Just Above The Ground Weather Just Above The Ground Nature Bulletin No. 481-A February 17, 1973 Forest Preserve District of Cook County George W, Dunne, President Roland F. Eisenbeis, Supt. of Conservation LITTLE CLIMATES -- Weather Just Above the Ground In a previous bulletin we talked about little climates, underground, resulting from weather conditions in the soil. Just above the ground there is another "little climate" equally important. We frequently see evidences of it without realizing how and why they were produced. Just above the earth, there lies a narrow layer of changeable weather that is affected at both surfaces by its mighty neighbors: the land below and the restless air in the atmosphere above it. Under the spell of gravity, it clings to the ground in spite of all but the swiftest winds. In this layer there are special weather conditions overlooked by nearly everyone.

446

Maine's Weatherization Milestones | Department of Energy  

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

Maine's Weatherization Milestones Maine's Weatherization Milestones Maine's Weatherization Milestones August 24, 2010 - 5:44pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? Thanks to $41.9 million in funding from the Recovery Act, the state of Maine expects to weatherize more than 4,400 homes Maine's state motto - "dirigo," Latin for "I lead," - is very fitting, especially when it comes to weatherization. With the help of nearly $41.9 million in funding from the Recovery Act, the state expects to weatherize more than 4,400 homes - creating jobs, reducing carbon emissions, and saving money for Maine's low-income families. Cathy Zoi, DOE's Assistant Secretary for Energy Efficiency and Renewable Energy and Maine's Governor John Baldacci spoke on a conference call last

447

Five case studies of multifamily weatherization programs  

SciTech Connect (OSTI)

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

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

1997-12-31T23:59:59.000Z

448

The Impact of Weatherization | Department of Energy  

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

The Impact of Weatherization The Impact of Weatherization The Impact of Weatherization July 26, 2010 - 4:09pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? 25,000 homes weatherized a month. 82,000 homes this summer versus 3,000 last summer. As I mentioned last week, it's brutally hot outside right now. Temperature records are being shattered all across the country - and while we're always looking for ways to keep cool, weatherization is one process that guards a home against extreme temperatures on both ends of the thermometer. Whether it's installing cooling systems in areas of the country that can't catch a break from the heat, or caulking and insulating cracks in states where harsh winters seem almost endless, weatherizing your home can save more than $400 in the first year on heating

449

Ultrasonic thickness measurement of weathering steel  

SciTech Connect (OSTI)

The popular and traditional method of measuring thickness over a single time of flight path using the first echo received as the timing mark can make reliable measurements on weathering steel difficult. Multiple-echo measurement is capable of obtaining good, repeatable, and accurate measurements on not only weathering steels but on all metals used extensively today. Corrosion monitoring of weathering steel can be properly carried out provided the measurements taken are reliable.

Cartwright, D.L. [Cygnus Instruments Ltd., Dorchester (United Kingdom)

1995-04-01T23:59:59.000Z

450

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

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

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

451

What is Weatherization | Department of Energy  

Energy Savers [EERE]

measures that encompass the building envelope, its heating and cooling systems, its electrical system, and electricity consuming appliances. The benefits of weatherization begin...

452

Explore Careers in Weatherization | Department of Energy  

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

technical training resources and set the bar for new training resource development, DOE developed the WAP Standardized Training Curricula on the Weatherization Assistance...

453

Where to Apply for Weatherization Assistance  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy (DOE) does not provide weatherization services or services of any kind to individuals. The application process is handled by each state.

454

Chelan County PUD- Residential Weatherization Rebate Program  

Broader source: Energy.gov [DOE]

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

455

Climate and weather satellites going blind  

Science Journals Connector (OSTI)

By 2020, three-quarters of the US satellites used to monitor Earth's weather and climate could be out of action

2012-01-01T23:59:59.000Z

456

Idaho Falls Power- Residential Weatherization Loan Program  

Broader source: Energy.gov [DOE]

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

457

Weatherization Assistance Program Goals and Metrics  

Broader source: Energy.gov [DOE]

The Weatherization Assistance Program (WAP) regularly reviews the work of state and grant recipients for effectiveness and for meeting program goals.

458

Weatherization Formula Grants - American Recovery and Reinvestment...  

Energy Savers [EERE]

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

459

1993 Solid Waste Reference Forecast Summary  

SciTech Connect (OSTI)

This report, which updates WHC-EP-0567, 1992 Solid Waste Reference Forecast Summary, (WHC 1992) forecasts the volumes of solid wastes to be generated or received at the US Department of Energy Hanford Site during the 30-year period from FY 1993 through FY 2022. The data used in this document were collected from Westinghouse Hanford Company forecasts as well as from surveys of waste generators at other US Department of Energy sites who are now shipping or plan to ship solid wastes to the Hanford Site for disposal. These wastes include low-level and low-level mixed waste, transuranic and transuranic mixed waste, and nonradioactive hazardous waste.

Valero, O.J.; Blackburn, C.L. [Westinghouse Hanford Co., Richland, WA (United States); Kaae, P.S.; Armacost, L.L.; Garrett, S.M.K. [Pacific Northwest Lab., Richland, WA (United States)

1993-08-01T23:59:59.000Z

460

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

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


461

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

462

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

463

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

464

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

465

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

466

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

467

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

468

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

469

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

470

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

471

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

472

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

473

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

474

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

475

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

476

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

477

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

478

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

479

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

480

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

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


481

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

482

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

483

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

484

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

485

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

486

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

487

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

488

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

489

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

490

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

491

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

SciTech Connect (OSTI)

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

D& R International

2001-10-10T23:59:59.000Z

492

Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)  

SciTech Connect (OSTI)

This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

493

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

PSO (FU 2101) Ensemble-forecasts for wind power Analysis of the Results of an On-line Wind Power Ensemble- forecasts for wind power (FU2101) a demo-application producing quantile forecasts of wind power correct) quantile forecasts of the wind power production are generated by the application. However

494

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network [OSTI]

Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power study. Key words : wind power forecast, ramps, phase er- rors, forecasts ensemble. 1 Introduction Most

Boyer, Edmond

495

The effect of multinationality on management earnings forecasts  

E-Print Network [OSTI]

and number of countries withforeign subsidiaries) are significantly positively related to more optimistic management earnings forecasts....

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

496

Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)  

SciTech Connect (OSTI)

This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

Hodge, B. M.; Ela, E.; Milligan, M.

2011-10-01T23:59:59.000Z

497

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

E-Print Network [OSTI]

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

Hack, Robert

498

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

E-Print Network [OSTI]

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

499

Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data  

Science Journals Connector (OSTI)

Soil moisture memory is a key aspect of land–atmosphere interaction and has major implications for seasonal forecasting. Because of a severe lack of soil moisture observations on most continents, existing analyses of global-scale soil moisture ...

Sonia I. Seneviratne; Randal D. Koster; Zhichang Guo; Paul A. Dirmeyer; Eva Kowalczyk; David Lawrence; Ping Liu; David Mocko; Cheng-Hsuan Lu; Keith W. Oleson; Diana Verseghy

2006-10-01T23:59:59.000Z

500

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices