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Note: This page contains sample records for the topic "weather forecast model" from the National Library of EnergyBeta (NLEBeta).
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1

Validation of Global Weather Forecast and Climate Models Over...  

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

Validation of Global Weather Forecast and Climate Models Over the North Slope of Alaska Xie, Shaocheng Lawrence Livermore National Laboratory Klein, Stephen Lawrence Livermore...

2

Regional Climate–Weather Research and Forecasting Model  

Science Conference Proceedings (OSTI)

The CWRF is developed as a climate extension of the Weather Research and Forecasting model (WRF) by incorporating numerous improvements in the representation of physical processes and integration of external (top, surface, lateral) forcings that are ...

Xin-Zhong Liang; Min Xu; Xing Yuan; Tiejun Ling; Hyun I. Choi; Feng Zhang; Ligang Chen; Shuyan Liu; Shenjian Su; Fengxue Qiao; Yuxiang He; Julian X. L. Wang; Kenneth E. Kunkel; Wei Gao; Everette Joseph; Vernon Morris; Tsann-Wang Yu; Jimy Dudhia; John Michalakes

2012-09-01T23:59:59.000Z

3

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

E-Print Network (OSTI)

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

Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

2013-01-01T23:59:59.000Z

4

WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model  

Science Conference Proceedings (OSTI)

A wildland fire-behavior module, named WRF-Fire, was integrated into the Weather Research and Forecasting (WRF) public domain numerical weather prediction model. The fire module is a surface fire-behavior model that is two-way coupled with the ...

Janice L. Coen; Marques Cameron; John Michalakes; Edward G. Patton; Philip J. Riggan; Kara M. Yedinak

2013-01-01T23:59:59.000Z

5

Modelling and forecasting wind speed intensity for weather risk management  

Science Conference Proceedings (OSTI)

The main interest of the wind speed modelling is on the short-term forecast of wind speed intensity and direction. Recently, its relationship with electricity production by wind farms has been studied. In fact, electricity producers are interested in ... Keywords: ARFIMA-FIGARCH, Auto Regressive Gamma, Gamma Auto Regressive, Weather risk management, Wind speed modelling, Wind speed simulation

Massimiliano Caporin; Juliusz Pre

2012-11-01T23:59:59.000Z

6

Mesoscale Forecasts Generated from Operational Numerical Weather-Prediction Model Output  

Science Conference Proceedings (OSTI)

A technique called Model Output Enhancement (MOE) has been developed for the generation and display of mesoscale weather forecasts. The MOE technique derives mesoscale or high-resolution (order of 1 km) weather forecasts from synoptic-scale ...

John G. W. Kelley; Joseph M. Russo; Toby N. Carlson; J. Ronald Eyton

1988-01-01T23:59:59.000Z

7

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

Science Conference Proceedings (OSTI)

Standard indices used in the National Fire Danger Rating System (NFDRS) and Fosberg fire-weather indices are calculated from Weather Research and Forecasting (WRF) model simulations and observations in interior Alaska for June 2005. Evaluation ...

Nicole Mölders

2008-10-01T23:59:59.000Z

8

Evaluation of the Weather Research and Forecasting model for two frost events  

Science Conference Proceedings (OSTI)

Meso-local-scale weather information could be used as a guideline for crop protection to effectively manage and mitigate the effects of frost damage. The main goal of this study was to evaluate the meso-local-scale weather forecasts from the state-of-the-art ... Keywords: Frost protection, Georgia Automated Environmental Monitoring Network, Temperature prediction, Weather Research and Forecasting model

Thara Prabha; Gerrit Hoogenboom

2008-12-01T23:59:59.000Z

9

Operational forecasting based on a modified Weather Research and Forecasting model  

DOE Green Energy (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

10

Learning uncertainty models from weather forecast performance databases using quantile regression  

Science Conference Proceedings (OSTI)

Forecast uncertainty information is not available in the immediate output of Numerical weather prediction (NWP) models. Such important information is required for optimal decision making processes in many domains. Prediction intervals are a prominent ... Keywords: numerical weather forecast, prediction interval, quantile regression, uncertainty modeling

Ashkan Zarnani; Petr Musilek

2013-07-01T23:59:59.000Z

11

Mesoscale Modeling for Mountain Weather Forecasting Over the Himalayas  

Science Conference Proceedings (OSTI)

Severe weather has a more calamitous effect in the mountainous region-because the terrain is complex and the economy is poorly developed and fragile. Such weather systems occurring on a small spatiotemporal scale invite application of models with ...

Someshwar Das; S. V. Singh; E. N. Rajagopal; Robert Gall

2003-09-01T23:59:59.000Z

12

Evaluation of WRF Model Output for Severe Weather Forecasting from the 2008 NOAA Hazardous Weather Testbed Spring Experiment  

Science Conference Proceedings (OSTI)

This study assesses forecasts of the preconvective and near-storm environments from the convection-allowing models run for the 2008 National Oceanic and Atmospheric Administration (NOAA) Hazardous Weather Testbed (HWT) spring experiment. ...

Michael C. Coniglio; Kimberly L. Elmore; John S. Kain; Steven J. Weiss; Ming Xue; Morris L. Weisman

2010-04-01T23:59:59.000Z

13

An Immersed Boundary Method for the Weather Research and Forecasting Model  

Science Conference Proceedings (OSTI)

This paper describes an immersed boundary method that facilitates the explicit resolution of complex terrain within the Weather Research and Forecasting (WRF) model. Mesoscale models, such as WRF, are increasingly used for high-resolution ...

Katherine A. Lundquist; Fotini Katopodes Chow; Julie K. Lundquist

2010-03-01T23:59:59.000Z

14

Forecasting the Skill of a Regional Numerical Weather Prediction Model  

Science Conference Proceedings (OSTI)

It is demonstrated that the skill of short-term regional numerical forecasts can be predicted on a day-to-day basis. This was achieved by using a statistical regression scheme with the model forecast errors (MFE) as the predictands and the ...

L. M. Leslie; K. Fraedrich; T. J. Glowacki

1989-03-01T23:59:59.000Z

15

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,

16

Development of the Upgraded Tangent Linear and Adjoint of the Weather Research and Forecasting (WRF) Model  

Science Conference Proceedings (OSTI)

The authors propose a new technique for parallelizations of tangent linear and adjoint codes, which were applied in the redevelopment for the Weather Research and Forecasting (WRF) model with its Advanced Research WRF dynamic core using the ...

Xin Zhang; Xiang-Yu Huang; Ning Pan

2013-06-01T23:59:59.000Z

17

Impacts of Soil Heating Condition on Precipitation Simulations in the Weather Research and Forecasting Model  

Science Conference Proceedings (OSTI)

Soil temperature is a major variable in land surface models, representing soil energy status, storage, and transfer. It serves as an important factor indicating the underlying surface heating condition for weather and climate forecasts. This ...

Xingang Fan

2009-07-01T23:59:59.000Z

18

Use of Medium-Range Numerical Weather Prediction Model Output to Produce Forecasts of Streamflow  

Science Conference Proceedings (OSTI)

This paper examines an archive containing over 40 years of 8-day atmospheric forecasts over the contiguous United States from the NCEP reanalysis project to assess the possibilities for using medium-range numerical weather prediction model output ...

Martyn P. Clark; Lauren E. Hay

2004-02-01T23:59:59.000Z

19

Predicting Cloud-to-Ground and Intracloud Lightning in Weather Forecast Models  

Science Conference Proceedings (OSTI)

A new prognostic, spatially and temporally dependent variable is introduced to the Weather Research and Forecasting Model (WRF). This variable is called the potential electrical energy (Ep). It was used to predict the dynamic contribution of the ...

Barry H. Lynn; Yoav Yair; Colin Price; Guy Kelman; Adam J. Clark

2012-12-01T23:59:59.000Z

20

Numerical Prediction of an Antarctic Severe Wind Event with the Weather Research and Forecasting (WRF) Model  

Science Conference Proceedings (OSTI)

This study initiates the application of the maturing Weather Research and Forecasting (WRF) model to the polar regions in the context of the real-time Antarctic Mesoscale Prediction System (AMPS). The behavior of the Advanced Research WRF (ARW) ...

Jordan G. Powers

2007-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

How Do You Like Your Weather?: Using Weather Forecast Data to Improve Short-Term Load Forecasts  

Science Conference Proceedings (OSTI)

This document provides a quick overview of weather forecasts as a data issue in the development of electricity demand forecasts. These are three sections in this Brief: o reasons behind the rise in interest in using weather forecasts in electricity forecasting models, o an overview of what some utilities are doing to evaluate weather forecasts, and o a resource list of weather forecast providers.

2001-09-28T23:59:59.000Z

22

Short-Term Ice Accretion Forecasts for Electric Utilities Using the Weather Research and Forecasting Model and a Modified Precipitation-Type Algorithm  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting model (WRF) is used to provide 6–12-h forecasts of the necessary input parameters to a separate algorithm that determines the most likely precipitation type at each model grid point. In instances where ...

Arthur T. DeGaetano; Brian N. Belcher; Pamela L. Spier

2008-10-01T23:59:59.000Z

23

Application of the Weather Research and Forecasting Model for Air Quality Modeling in the San Francisco Bay Area  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) model is evaluated by conducting various sensitivity experiments over central California including the San Francisco Bay Area (SFBA), with the goal of establishing a WRF model configuration to be used by ...

Raphael E. Rogers; Aijun Deng; David R. Stauffer; Brian J. Gaudet; Yiqin Jia; Su-Tzai Soong; Saffet Tanrikulu

2013-09-01T23:59:59.000Z

24

Application of the Weather Research and Forecasting Model for Air Quality Modeling in the San Francisco Bay Area  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) model is evaluated by conducting various sensitivity experiments over central California (CA) including the San Francisco Bay Area (SFBA), with the goal of establishing a WRF model configuration to be ...

Raphael E. Rogers; Aijun Deng; David R. Stauffer; Brian J. Gaudet; Yiqin Jia; Su-Tzai Soong; Saffet Tanrikulu

25

Performance of the Weather Research and Forecasting Model for Month-Long Pan-Arctic Simulations  

Science Conference Proceedings (OSTI)

The performance of the Weather Research and Forecasting (WRF) model was evaluated for month-long simulations over a large pan-Arctic model domain. The evaluation of seven different WRF (version 3.1) configurations for four months (January, April, ...

John J. Cassano; Matthew E. Higgins; Mark W. Seefeldt

2011-11-01T23:59:59.000Z

26

Downscaling Extended Weather Forecasts for Hydrologic Prediction  

SciTech Connect

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

Leung, Lai-Yung R.; Qian, Yun

2005-03-01T23:59:59.000Z

27

The Effectiveness of Weather Forecasts in Decision Making: An Example  

Science Conference Proceedings (OSTI)

Decision models involving prescribed fire (the use of fire as a silvicultural tool) were used to analyze the utility of four types of weather information as forecasts: climatology, current weather observations (used as a persistence forecast), ...

R. William Furman

1982-04-01T23:59:59.000Z

28

Potential Economic Value of Ensemble-Based Surface Weather Forecasts  

Science Conference Proceedings (OSTI)

The possible economic value of the quantification of uncertainty in future ensemble-based surface weather forecasts is investigated using a formal, idealized decision model. Current, or baseline, weather forecasts are represented by probabilistic ...

Daniel S. Wilks; Thomas M. Hamill

1995-12-01T23:59:59.000Z

29

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

Science Conference Proceedings (OSTI)

Current land surface schemes used for mesoscale weather forecast models use the Jarvis-type stomatal resistance formulations for representing the vegetation transpiration processes. The Jarvis scheme, however, despite its robustness, needs ...

Dev Niyogi; Kiran Alapaty; Sethu Raman; Fei Chen

2009-02-01T23:59:59.000Z

30

Resolved turbulence characteristics in large-eddy simulations nested within mesoscale simulations using the Weather Research and Forecasting model  

Science Conference Proceedings (OSTI)

One-way concurrent nesting within the Weather Research and Forecasting (WRF) model 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

31

Evaluating Weather Research and Forecasting (WRF) Model Predictions of Turbulent Flow Parameters in a Dry Convective Boundary Layer  

Science Conference Proceedings (OSTI)

Weather Research and Forecasting (WRF) model predictions using different boundary layer schemes and horizontal grid spacings were compared with observational and numerical large-eddy simulation data for conditions corresponding to a dry ...

Jeremy A. Gibbs; Evgeni Fedorovich; Alexander M. J. van Eijk

2011-12-01T23:59:59.000Z

32

Analysis of Idealized Tropical Cyclone Simulations Using the Weather Research and Forecasting Model: Sensitivity to Turbulence Parameterization and Grid Spacing  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting Advanced Research Model (WRF-ARW) was used to perform idealized tropical cyclone (TC) simulations, with domains of 36-, 12-, and 4-km horizontal grid spacing. Tests were conducted to determine the sensitivity ...

Kevin A. Hill; Gary M. Lackmann

2009-02-01T23:59:59.000Z

33

Operational Implementation of the ISBA Land Surface Scheme in the Canadian Regional Weather Forecast Model. Part I: Warm Season Results  

Science Conference Proceedings (OSTI)

The summertime improvement resulting from the operational implementation of a new surface modeling and assimilation strategy into the Canadian regional weather forecasting system is described in this study. The surface processes over land are ...

Stéphane Bélair; Louis-Philippe Crevier; Jocelyn Mailhot; Bernard Bilodeau; Yves Delage

2003-04-01T23:59:59.000Z

34

Cloud Predictions Diagnosed from Global Weather Model Forecasts  

Science Conference Proceedings (OSTI)

The U.S. Air Force has a long history of investment in cloud analysis and prediction operations. Their need for accurate cloud cover information has resulted in routine production of global cloud analyses (from their RTNEPH analysis model) and ...

Donald C. Norquist

2000-10-01T23:59:59.000Z

35

Realizations of Daily Weather in Forecast Seasonal Climate  

Science Conference Proceedings (OSTI)

Stochastic daily weather time series models (?“weather generators”?) are parameterized consistent with both local climate and probabilistic seasonal forecasts. Both single-station weather generators, and spatial networks of coherently operating ...

D. S. Wilks

2002-04-01T23:59:59.000Z

36

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Conference Proceedings (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

37

Segmenting Time Series for Weather Forecasting  

E-Print Network (OSTI)

turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been

Reiter, Ehud

38

Weather Forecasts by the WRF-ARW Model with the GSI Data Assimilation System in the Complex Terrain Areas of Southwest Asia  

Science Conference Proceedings (OSTI)

This paper will first describe the forecasting errors encountered from running the National Center for Atmospheric Research (NCAR) mesoscale model (the Advanced Research Weather Research and Forecasting model; ARW) in the complex terrain of ...

J. Xu; S. Rugg; L. Byerle; Z. Liu

2009-08-01T23:59:59.000Z

39

Modeling and Forecasting Aurora  

Science Conference Proceedings (OSTI)

Modeling the physical processes needed for forecasting space-weather events requires multiscale modeling. This article discusses several modelsresearchers use to treat the various auroral processes that influence space weather.

Dirk Lummerzheim

2007-01-01T23:59:59.000Z

40

System Demonstration Multilingual Weather Forecast Generation System  

E-Print Network (OSTI)

System Demonstration Multilingual Weather Forecast Generation System Tianfang Yao DongmoZhang Qian (Multilingual Weather Forecasts Assistant) system will be demonstrated. It is developed to generate the multilingual text of the weather forecasts automatically. The raw data from the weather observation can be used

Note: This page contains sample records for the topic "weather forecast model" 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

Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA  

Science Conference Proceedings (OSTI)

Data assimilation is the process by which observations are combined with short-range NWP model output to produce an analysis of the state of the atmosphere at a specified time. Since its inception in the late 1990s, the multiagency Weather Research and Forecasting (WRF) model effort has had a strong data assimilation component, dedicating two working groups to the subject. This article documents the history of the WRF data assimilation effort, and discusses the challenges associated with balancing academic, research, and operational data assimilation requirements in the context of the WRF effort to date. The WRF Model's Community Variational/Ensemble Data Assimilation System (WRFDA) has evolved over the past 10 years, and has resulted in over 30 refereed publications to date, as well as implementation in a wide range of real-time and operational NWP systems.

Barker, D.; Huang, X. Y.; Liu, Z. Q.; Auligne, T.; Zhang, X.; Rugg, S.; Ajjaji, R.; Bourgeois, A.; Bray, J.; Chen, Y. S.; Demirtas, M.; Guo, Y. R.; Henderson, T.; Huang, W.; Lin, H. C.; Michalakes, J.; Rizvi, S.; Zhang, X. Y.

2012-06-01T23:59:59.000Z

42

A Comparative Verification of Localized Aviation Model Output Statistics Program (LAMP) and Numerical Weather Prediction (NWP) Model Forecasts of Ceiling Height and Visibility  

Science Conference Proceedings (OSTI)

In an effort to support aviation forecasting, the National Weather Service’s Meteorological Development Laboratory (MDL) has recently redeveloped the Localized Aviation Model Output Statistics (MOS) Program (LAMP) system. LAMP is designed to run ...

David E. Rudack; Judy E. Ghirardelli

2010-08-01T23:59:59.000Z

43

Development of a Limited-Area Model for Operational Weather Forecasting around a Power Plant: The Need for Specialized Forecasts  

Science Conference Proceedings (OSTI)

A hydrostatic meteorological model, “PMETEO,” was developed for short-range forecasts for a high-resolution limited area located in the northwest region of Spain. Initial and lateral boundary conditions are externally provided by a coarse-mesh ...

C. F. Balseiro; M. J. Souto; E. Penabad; J. A. Souto; V. Pérez-Muñuzuri

2002-09-01T23:59:59.000Z

44

Evaluation of a Simple Numerical Model as a Mesoscale Weather Forecasting Tool  

Science Conference Proceedings (OSTI)

During the America's Cup race series of 1986–1987, a numerical sea breeze model was used to assist offshore forecasts. The exercise has provided a detailed insight into the extent to which such a model may assist the forecasting process the ...

P. J. Rye

1989-12-01T23:59:59.000Z

45

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

Science Conference Proceedings (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

46

Transition and Equilibration of Neutral Atmospheric Boundary Layer Flow in One-Way Nested Large-Eddy Simulations Using the Weather Research and Forecasting Model  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting Model permits finescale large-eddy simulations (LES) to be nested within coarser simulations, an approach that can generate more accurate turbulence statistics and improve other aspects of simulated flows. ...

Jeff Mirocha; Gokhan Kirkil; Elie Bou-Zeid; Fotini Katopodes Chow; Branko Kosovi?

2013-03-01T23:59:59.000Z

47

Localized Precipitation Forecasts from a Numerical Weather Prediction Model Using Artificial Neural Networks  

Science Conference Proceedings (OSTI)

Although the resolution of numerical weather prediction models continues to improve, many of the processes that influence precipitation are still not captured adequately by the scales of present operational models, and consequently precipitation ...

Robert J. Kuligowski; Ana P. Barros

1998-12-01T23:59:59.000Z

48

The Importance of Understanding Mesoscale Model Parameterization Schemes for Weather Forecasting  

Science Conference Proceedings (OSTI)

A severe weather outbreak that occurred on 21–23 November 1992 in the southern United States is used to illustrate how an understanding of model parameterization schemes can help in the evaluation and utilization of mesoscale model output. ...

John V. Cortinas Jr.; David J. Stensrud

1995-12-01T23:59:59.000Z

49

Making Forecasts and Weather Normalization Work Together  

Science Conference Proceedings (OSTI)

Electric utility industry restructuring has changed the consistency between weather-normalized sales and energy forecasts. This Technology Review discusses the feasibility of integrating weather normalization and forecasting processes, and addresses whether the conflicting goal of obtaining greater consistency and accuracy with fewer staff resources can be met with more integrated approaches.

2000-09-11T23:59:59.000Z

50

Statistical Forecasts Based on the National Meteorological Center's Numerical Weather Prediction System  

Science Conference Proceedings (OSTI)

The production of interpretive weather element forecasts from dynamical model output variables is now an integral part of the centralized guidance systems of weather services throughout the world. The statistical forecasting system in the United ...

Gary M. Carter; J. Paul Dallavalle; Harry R. Glahn

1989-09-01T23:59:59.000Z

51

Long-Range Weather Forecasting Using an Analog Approach  

Science Conference Proceedings (OSTI)

An analog selection method relying an the coincidence of main features (large ridge lines) in the Northern Hemisphere is presented and used for making 30-day weather forecasts for Hungary. Numerous analog model trials were tested, with the aid of ...

Zoltan Toth

1989-06-01T23:59:59.000Z

52

How can Weather-Forecasting Facilitate the Improvement of Moist...  

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

Weather-Forecasting Facilitate the Improvement of Moist Processes in Climate Models? Speaker(s): Stephen A. Klein Date: May 22, 2008 - 12:00pm Location: 90-3122 Seminar HostPoint...

53

Performance of National Weather Service Forecasts Compared to Operational, Consensus, and Weighted Model Output Statistics  

Science Conference Proceedings (OSTI)

Model output statistics (MOS) guidance has been the central model postprocessing approach used by the National Weather Service since the 1970s. A recent advancement in the use of MOS is the application of “consensus” MOS (CMOS), an average of MOS ...

Jeffrey A. Baars; Clifford F. Mass

2005-12-01T23:59:59.000Z

54

Whither the Weather Analysis and Forecasting Process?  

Science Conference Proceedings (OSTI)

An argument is made that if human forecasters are to continue to maintain a skill advantage over steadily improving model and guidance forecasts, then ways have to be found to prevent the deterioration of forecaster skills through disuse. The ...

Lance F. Bosart

2003-06-01T23:59:59.000Z

55

The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA  

Science Conference Proceedings (OSTI)

Data assimilation is the process by which observations are combined with short-range NWP model output to produce an analysis of the state of the atmosphere at a specified time. Since its inception in the late 1990s, the multiagency Weather Research and ...

Dale Barker; Xiang-Yu Huang; Zhiquan Liu; Tom Auligné; Xin Zhang; Steven Rugg; Raji Ajjaji; Al Bourgeois; John Bray; Yongsheng Chen; Meral Demirtas; Yong-Run Guo; Tom Henderson; Wei Huang; Hui-Chuan Lin; John Michalakes; Syed Rizvi; Xiaoyan Zhang

2012-06-01T23:59:59.000Z

56

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical postprocessing technique that has been used in probabilistic weather forecasting to calibrate forecast ensembles and generate predictive probability density functions (PDFs) for weather quantities. ...

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

57

Building simulation weather forecast files for predictive control strategies  

Science Conference Proceedings (OSTI)

Model-Based Predictive Control (MPC) has received significant attention in recent years as a tool for load management in buildings. MPC is based on predicting the response of a system based on knowledge of future inputs, such as weather and occupancy. ... Keywords: EPW files, building simulation, predictive control, weather forecast

José. A. Candanedo; Éric Paradis; Meli Stylianou

2013-04-01T23:59:59.000Z

58

Ability to Forecast Regional Soil Moisture with a Distributed Hydrological Model Using ECMWF Rainfall Forecasts  

Science Conference Proceedings (OSTI)

This study mimics an online forecast system to provide nine day-ahead forecasts of regional soil moisture. It uses modified ensemble rainfall forecasts from the numerical weather prediction model of the European Centre for Medium-Range Weather ...

J. M. Schuurmans; M. F. P. Bierkens

2009-04-01T23:59:59.000Z

59

Post-processing of ensemble weather forecasts using a stochastic weather generator  

Science Conference Proceedings (OSTI)

This study proposes a new statistical method for post-processing ensemble weather forecasts using a stochastic weather generator. Key parameters of the weather generator were linked to the ensemble forecast means for both precipitation and ...

Jie Chen; François P. Brissette; Zhi Li

60

An All-Weather Observational Operator for Radiance Data Assimilation with Mesoscale Forecast Models  

Science Conference Proceedings (OSTI)

Assimilating satellite radiance data under all weather conditions remains an outstanding problem in numerical weather prediction. This study develops an observational operator for use in radiance assimilation under both clear and cloudy ...

Thomas J. Greenwald; Rolf Hertenstein; Tomislava Vuki?evi?

2002-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Quantification of Uncertainity in Fire-Weather Forecasts: Some Results of Operational and Experimental Forecasting Programs  

Science Conference Proceedings (OSTI)

Fire-weather forecasts (FWFs) prepared by National Weather Service (NWS) forecasters on an operational basis are traditionally expressed in categorical terms. However, to make rational and optimal use of such forecasts, fire managers need ...

Barbara G. Brown; Allan H. Murphy

1987-09-01T23:59:59.000Z

62

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 wealth of data derived from scientific research and provides increasingly accurate solar forecasts. As the database of information grows over time, this algorithm perfects itself and reduces forecast uncertainties. This will provide a vastly more effective way of processing existing data for practical use in the public and private sectors. Specifically, we created an algorithm that stores data from several sources in a way that is useable, we created the ?dynamic algorithm? used for creating accurate/effective forecasts, and we have performed preliminary benchmarks on this algorithm. The preliminary benchmarks yield surprisingly effective results thus far?forecasts have been made 8-16 hours into the future with significant magnitude and trend accuracy, which is a vast improvement over current methods employed.

Fischer, Luke D.

2010-05-01T23:59:59.000Z

63

Evaluation of the Sensitivity of the Weather Research and Forecasting Model to Parameterization Schemes for Regional Climates of Europe over the Period 1990–95  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting model (WRF) is used to downscale interim ECMWF Re-Analysis (ERA-Interim) data for the climate over Europe for the period 1990–95 with grid spacing of 0.44° for 12 combinations of physical parameterizations. Two ...

P. A. Mooney; F. J. Mulligan; R. Fealy

2013-02-01T23:59:59.000Z

64

Early Warnings of Severe Weather from Ensemble Forecast Information  

Science Conference Proceedings (OSTI)

A system has been developed to give probabilistic warnings of severe-weather events for the United Kingdom (UK) on a regional and national basis, based on forecast output from the European Centre for Medium-Range Weather Forecasts (ECMWF) ...

T. P. Legg; K. R. Mylne

2004-10-01T23:59:59.000Z

65

Products and Service of Center for Weather Forecast and Climate Studies  

E-Print Network (OSTI)

LOG O Products and Service of Center for Weather Forecast and Climate Studies Simone Sievert da (INPE) #12;Talk Outline CPTEC/INPE Operational Forecast Systems (time scales) Modeling Forecast-Brazil Space Sector Workshop, São José dos Campos 26 - 27 August. 2010 CPTEC: Forecasting Modeling Scales Time

66

Distributed Quantitative Precipitation Forecasting Using Information from Radar and Numerical Weather Prediction Models  

Science Conference Proceedings (OSTI)

The benefits of short-term (1–6 h), distributed quantitative precipitation forecasts (DQPFs) are well known. However, this area is acknowledged to be one of the most challenging in hydrometeorology. Previous studies suggest that the “state of the ...

Auroop R. Ganguly; Rafael L. Bras

2003-12-01T23:59:59.000Z

67

MOUNTAIN WEATHER PREDICTION: PHENOMENOLOGICAL CHALLENGES AND FORECAST METHODOLOGY  

E-Print Network (OSTI)

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

Steenburgh, Jim

68

State of the Science FACT SHEET Weather Forecast Uncertainty  

E-Print Network (OSTI)

State of the Science FACT SHEET Weather Forecast Uncertainty December, 2009 This document represents the state of the science of quantifying and communicating weather forecast uncertainty. Decisions can be improved by better understanding the uncertainties in the weather forecasts. NOAA seeks to help

69

Precipitation and Temperature Forecast Performance at the Weather Prediction Center  

Science Conference Proceedings (OSTI)

The role of the human forecaster in improving upon the accuracy of numerical weather prediction is explored using multi-year verification of human-generated short-range precipitation forecasts and medium-range maximum temperature forecasts from ...

David R. Novak; Christopher Bailey; Keith Brill; Patrick Burke; Wallace Hogsett; Robert Rausch; Michael Schichtel

70

An Experiment in Mesoscale Weather Forecasting in the Michigan Area  

Science Conference Proceedings (OSTI)

During an experiment in mesoscale weather forecasting in the Michigan area, consensus improved over NWS guidance in maximum/minimum temperature and probability of precipitation forecasts out to 24 hours. Forecasts were generally best in the ...

Dennis G. Baker

1986-12-01T23:59:59.000Z

71

Diversity in Interpretations of Probability: Implications for Weather Forecasting  

Science Conference Proceedings (OSTI)

Over the last years, probability weather forecasts have become increasingly popular due in part to the development of ensemble forecast systems. Despite its widespread use in atmospheric sciences, probability forecasting remains a subtle and ...

Ramón de Elía; René Laprise

2005-05-01T23:59:59.000Z

72

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

SciTech Connect

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

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

2008-01-01T23:59:59.000Z

73

Weather-based forecasts of California crop yields  

SciTech Connect

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

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

2005-09-26T23:59:59.000Z

74

Severe and Convective Weather: A Central Region Forecasting Challenge  

Science Conference Proceedings (OSTI)

This paper is one of a series of papers dealing with operational weather forecasting within the Central Region of the National Weather Service. It focuses on the primary Central Region warm season weather producer, the thunderstorm. Some of the ...

Richard P. McNulty

1995-06-01T23:59:59.000Z

75

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

76

What Is a Good Forecast? An Essay on the Nature of Goodness in Weather Forecasting  

Science Conference Proceedings (OSTI)

Differences of opinion exist among forecasters—and between forecasters and users—regarding the meaning of the phrase “good (bad) weather forecasts.” These differences of opinion are fueled by a lack of clarity and/or understanding concerning the ...

Allan H. Murphy

1993-06-01T23:59:59.000Z

77

An Objective Comparison of Model Output Statistics and “Perfect Prog” Systems in Producing Numerical Weather Element Forecasts  

Science Conference Proceedings (OSTI)

The “perfect prog” (PP) and model output statistics (MOS) approaches were used to develop multiple linear regression equations to forecast probabilities of more than a trace of precipitation over 6-h periods, probabilities of precipitation ...

N. Brunet; R. Verret; N. Yacowar

1988-12-01T23:59:59.000Z

78

THE GALACTIC CENTER WEATHER FORECAST  

SciTech Connect

In accretion-based models for Sgr A*, the X-ray, infrared, and millimeter emission arise in a hot, geometrically thick accretion flow close to the black hole. The spectrum and size of the source depend on the black hole mass accretion rate M-dot . Since Gillessen et al. have recently discovered a cloud moving toward Sgr A* that will arrive in summer 2013, M-dot may increase from its present value M-dot{sub 0}. We therefore reconsider the 'best-bet' accretion model of Moscibrodzka et al., which is based on a general relativistic MHD flow model and fully relativistic radiative transfer, for a range of M-dot . We find that for modest increases in M-dot the characteristic ring of emission due to the photon orbit becomes brighter, more extended, and easier to detect by the planned Event Horizon Telescope submillimeter Very Long Baseline Interferometry experiment. If M-dot {approx}>8 M-dot{sub 0}, this 'silhouette' of the black hole will be hidden beneath the synchrotron photosphere at 230 GHz, and for M-dot {approx}>16 M-dot{sub 0} the silhouette is hidden at 345 GHz. We also find that for M-dot > 2 M-dot{sub 0} the near-horizon accretion flow becomes a persistent X-ray and mid-infrared source, and in the near-infrared Sgr A* will acquire a persistent component that is brighter than currently observed flares.

Moscibrodzka, M. [Department of Physics and Astronomy, University of Nevada, 4505 South Maryland Parkway, Las Vegas, NV 89154 (United States); Shiokawa, H.; Gammie, C. F. [Astronomy Department, University of Illinois, 1002 West Green Street, Urbana, IL 61801 (United States); Dolence, J. C., E-mail: monikam@physics.unlv.edu [Department of Astrophysical Sciences, Princeton University, Peyton Hall, 4 Ivy Lane, Princeton, NJ 08544 (United States)

2012-06-10T23:59:59.000Z

79

Skill in Precipitation Forecasting in the National Weather Service  

Science Conference Proceedings (OSTI)

All known long-term records of forecasting performance for different types of precipitation forecasts in the National Weather Service were examined for relative skill and secular trends in skill. The largest upward trends were achieved by local ...

Jerome P. Charba; William H. Klein

1980-12-01T23:59:59.000Z

80

Downscaling Ensemble Weather Predictions for Improved Week-2 Hydrologic Forecasting  

Science Conference Proceedings (OSTI)

This study investigates the use of large-scale ensemble weather predictions provided by the National Centers for Environmental Prediction (NCEP) Global Forecast System [GFS; formerly known as Medium-Range Forecast (MRF)] for improving week-2 ...

Xiaoli Liu; Paulin Coulibaly

2011-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

The Application of Signal Detection Theory to Weather Forecasting Behavior  

Science Conference Proceedings (OSTI)

A variety of measures are used to judge the skill and accuracy with which forecasters predict the weather and to verify forecasts: Such measures can confound accuracy with decision strategy and sometimes give conflicting indications of ...

Lewis O. Harvey Jr.; Kenneth R. Hammond; Cynthia M. Lusk; Ernest F. Mross

1992-05-01T23:59:59.000Z

82

Bayesian Approach to Decision Making Using Ensemble Weather Forecasts  

Science Conference Proceedings (OSTI)

The economic value of ensemble-based weather or climate forecasts is generally assessed by taking the ensembles at “face value.” That is, the forecast probability is estimated as the relative frequency of occurrence of an event among a limited ...

Richard W. Katz; Martin Ehrendorfer

2006-04-01T23:59:59.000Z

83

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect

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

84

RACORO Forecasting  

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

Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance from Norman NWS enhanced pages and discussions NAM-WRF updated...

85

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

Science Conference Proceedings (OSTI)

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

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

2009-01-01T23:59:59.000Z

86

NOS Point Forecast Guidance to Weather and Ocean Conditions ...  

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

NOS Point Forecast Guidance to Weather and Ocean Conditions Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities ...

87

NOS Point Forecast Guidance to Weather and Ocean Conditions ...  

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

Point Forecast Guidance to Weather and Ocean Conditions Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean...

88

Exploiting Weather Forecast Information in the Operation of ...  

E-Print Network (OSTI)

Mar 4, 2009 ... On-Line Economic Optimization of Energy Systems Using Weather Forecast Information. Victor M Zavala (vzavala ***at*** mcs.anl.gov)

89

Optimization Online - Data Assimilation in Weather Forecasting: A ...  

E-Print Network (OSTI)

Feb 14, 2007 ... Data Assimilation in Weather Forecasting: A Case Study in PDE-Constrained Optimization. M. Fisher(Mike.Fisher ***at*** ecmwf.int)

90

Economic Impacts of Advanced Weather Forecasting on Energy ...  

E-Print Network (OSTI)

Mar 5, 2010 ... Abstract: We analyze the impacts of adopting advanced weather forecasting systems at different levels of the decision-making hierarchy of the ...

91

The New Digital Forecast Database of the National Weather Service  

Science Conference Proceedings (OSTI)

The National Weather Service (NWS) has entered a new era in the production and dissemination of weather information and service to the nation. No longer are textual forecasts the primary medium of dissemination, but a digital database of official ...

Harry R. Glahn; David P. Ruth

2003-02-01T23:59:59.000Z

92

TEACHMET: An Expert System for Teaching Weather Forecasting  

Science Conference Proceedings (OSTI)

Students or weather forecasting need to learn to identify efficiently the information relevant to the elements they predict. One way students learn these skills is by engaging in discussions of interesting weather situations as they occur. In ...

Nathan M. Reiss; James C. Hofmann

1988-04-01T23:59:59.000Z

93

Bayesian Estimation of Stochastic Parameterizations in a Numerical Weather Forecasting Model  

Science Conference Proceedings (OSTI)

Parameterizations in numerical models account for unresolved processes. These parameterizations are inherently difficult to construct and as such typically have notable imperfections. One approach to account for this uncertainty is through ...

Yong Song; Christopher K. Wikle; Christopher J. Anderson; Steven A. Lack

2007-12-01T23:59:59.000Z

94

Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models  

Science Conference Proceedings (OSTI)

Two important recent trends in natural language generation are (i) probabilistic techniques and (ii) comprehensive approaches that move away from traditional strictly modular and sequential models. This paper reports experiments in which pCRU ...

Anja Belz

2008-10-01T23:59:59.000Z

95

A Statistical Forecast Model of Weather-Related Damage to a Major Electric Utility  

Science Conference Proceedings (OSTI)

A generalized linear model (GLM) has been developed to relate meteorological conditions to damages incurred by the outdoor electrical equipment of Public Service Electric and Gas, the largest public utility in New Jersey. Utilizing a perfect-...

Brian J. Cerruti; Steven G. Decker

2012-02-01T23:59:59.000Z

96

A Survey of the Use of National Weather Service Forecasts by Television Weather Forecasters in the United States  

Science Conference Proceedings (OSTI)

This investigation was undertaken to determine how different the weather forecasts of telecasters are from those of the National Weather Service for the same areas and times, and the sources of information telecasters use when they modify the NWS ...

Dennis M. Driscoll

1986-12-01T23:59:59.000Z

97

Communicating Uncertainty in Weather Forecasts: A Survey of the U.S. Public  

Science Conference Proceedings (OSTI)

Weather forecasts are inherently uncertain, and meteorologists have information about weather forecast uncertainty that is not readily available to most forecast users. Yet effectively communicating forecast uncertainty to nonmeteorologists ...

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

2008-10-01T23:59:59.000Z

98

Seasonal Winter Weather Forecast for UK December 2000 -February 2001  

E-Print Network (OSTI)

Seasonal Winter Weather Forecast for UK December 2000 - February 2001 Summary and Verification of Authors' Seasonal Forecasts Issued: 23rd March, 2001 by Mark Saunders, Tony Hamilton, and Steve George and less windy winter than average. Forecasts proved successful for temperature and rainfall but windiness

Saunders, Mark

99

Precipitation Forecasting Using Doppler Radar Data, a Cloud Model with Adjoint, and the Weather Research and Forecasting Model: Real Case Studies during SoWMEX in Taiwan  

Science Conference Proceedings (OSTI)

The quantitative precipitation forecast (QPF) capability of the Variational Doppler Radar Analysis System (VDRAS) is investigated in the Taiwan area, where the complex topography and surrounding oceans pose great challenges to accurate rainfall ...

Sheng-Lun Tai; Yu-Chieng Liou; Juanzhen Sun; Shao-Fan Chang; Min-Chao Kuo

2011-12-01T23:59:59.000Z

100

Hydrometeorological Accuracy Enhancement via Postprocessing of Numerical Weather Forecasts in Complex Terrain  

Science Conference Proceedings (OSTI)

Statistical postprocessing techniques such as model output statistics are used by national weather centers to improve the skill of numerical forecasts. However, many of these techniques require an extensive database to develop, maintain, and ...

Doug McCollor; Roland Stull

2008-02-01T23:59:59.000Z

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


101

The Value of Wind Profiler Data in U.S. Weather Forecasting  

Science Conference Proceedings (OSTI)

An assessment of the value of data from the NOAA Profiler Network (NPN) on weather forecasting is presented. A series of experiments was conducted using the Rapid Update Cycle (RUC) model/assimilation system in which various data sources were ...

Stanley G. Benjamin; Barry E. Schwartz; Steven E. Koch; Edward J. Szoke

2004-12-01T23:59:59.000Z

102

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

Science Conference Proceedings (OSTI)

The development and verification of a new model output statistics (MOS) system is described; this system is intended to help forecasters decide whether a weather alarm for severe thunderstorms, based on high total lightning intensity, should be ...

Maurice J. Schmeits; Kees J. Kok; Daan H. P. Vogelezang; Rudolf M. van Westrhenen

2008-12-01T23:59:59.000Z

103

Consensus Forecasts of Modeled Wave Parameters  

Science Conference Proceedings (OSTI)

The use of numerical guidance has become integral to the process of modern weather forecasting. Using various techniques, postprocessing of numerical model output has been shown to mitigate some of the deficiencies of these models, producing more ...

Tom H. Durrant; Frank Woodcock; Diana J. M. Greenslade

2009-04-01T23:59:59.000Z

104

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

E-Print Network (OSTI)

MOS), Numerical Weather Prediction (NWP), Solar Forecasting of numerical weather prediction for intra?day solar solar energy applications based on aerosol chemical transport and  numerical weather 

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

105

Implementation and assessment of turbine wake models in the Weather Research and Forecasting model for both mesoscale and large-eddy simulation  

SciTech Connect

Flow dynamics in large wind projects are influenced by the turbines located within. The turbine wakes, regions characterized by lower wind speeds and higher levels of turbulence than the surrounding free stream flow, can extend several rotor diameters downstream, and may meander and widen with increasing distance from the turbine. Turbine wakes can also reduce the power generated by downstream turbines and accelerate fatigue and damage to turbine components. An improved understanding of wake formation and transport within wind parks is essential for maximizing power output and increasing turbine lifespan. Moreover, the influence of wakes from large wind projects on neighboring wind farms, agricultural activities, and local climate are all areas of concern that can likewise be addressed by wake modeling. This work describes the formulation and application of an actuator disk model for studying flow dynamics of both individual turbines and arrays of turbines within wind projects. The actuator disk model is implemented in the Weather Research and Forecasting (WRF) model, which is an open-source atmospheric simulation code applicable to a wide range of scales, from mesoscale to large-eddy simulation. Preliminary results demonstrate the applicability of the actuator disk model within WRF to a moderately high-resolution large-eddy simulation study of a small array of turbines.

Singer, M; Mirocha, J; Lundquist, J; Cleve, J

2010-03-03T23:59:59.000Z

106

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

E-Print Network (OSTI)

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

Wu, Dekai

107

Weather Regimes and Forecast Errors in the Pacific Northwest  

Science Conference Proceedings (OSTI)

Despite overall improvements in numerical weather prediction and data assimilation, large short-term forecast errors of sea level pressure and 2-m temperature still occur. This is especially true for the west coast of North America where short-...

Lynn A. McMurdie; Joseph H. Casola

2009-06-01T23:59:59.000Z

108

Ultraviolet Index Forecasts Issued by the National Weather Service  

Science Conference Proceedings (OSTI)

The National Weather Service (NWS), in collaboration with the Environmental Protection Agency (EPA), now issues an Ultraviolet (UV) index forecast. The UV index (UVI) is a mechanism by which the American public is forewarned of the next day's ...

Craig S. Long; Alvin J. Miller; Hai-Tien Lee; Jeannette D. Wild; Richard C. Przywarty; Drusilia Hufford

1996-04-01T23:59:59.000Z

109

Weather Forecasting by Humans—Heuristics and Decision Making  

Science Conference Proceedings (OSTI)

The decision-making literature contains considerable information about how humans approach tasks involving uncertainty using heuristics. Although there is some reason to believe that weather forecasters are not identical in all respects to the ...

Charles A. Doswell III

2004-12-01T23:59:59.000Z

110

Integration of Climate and Weather Information for Improving 15-Day-Ahead Accumulated Precipitation Forecasts  

Science Conference Proceedings (OSTI)

Skillful medium-range weather forecasts are critical for water resources planning and management. This study aims to improve 15-day-ahead accumulated precipitation forecasts by combining biweekly weather and disaggregated climate forecasts. A ...

Hui Wang; A. Sankarasubramanian; Ranji S. Ranjithan

2013-02-01T23:59:59.000Z

111

Value of Probabilistic Weather Forecasts: Assessment by Real-Time Optimization of Irrigation Scheduling  

SciTech Connect

This paper presents a modeling framework for real-time decision support for irrigation scheduling using the National Oceanic and Atmospheric Administration's (NOAA's) probabilistic rainfall forecasts. The forecasts and their probability distributions are incorporated into a simulation-optimization modeling framework. In this study, modeling irrigation is determined by a stochastic optimization program based on the simulated soil moisture and crop water-stress status and the forecasted rainfall for the next 1-7 days. The modeling framework is applied to irrigated corn in Mason County, Illinois. It is found that there is ample potential to improve current farmers practices by simply using the proposed simulation-optimization framework, which uses the present soil moisture and crop evapotranspiration information even without any forecasts. It is found that the values of the forecasts vary across dry, normal, and wet years. More significant economic gains are found in normal and wet years than in dry years under the various forecast horizons. To mitigate drought effect on crop yield through irrigation, medium- or long-term climate predictions likely play a more important role than short-term forecasts. NOAA's imperfect 1-week forecast is still valuable in terms of both profit gain and water saving. Compared with the no-rain forecast case, the short-term imperfect forecasts could lead to additional 2.4-8.5% gain in profit and 11.0-26.9% water saving. However, the performance of the imperfect forecast is only slightly better than the ensemble weather forecast based on historical data and slightly inferior to the perfect forecast. It seems that the 1-week forecast horizon is too limited to evaluate the role of the various forecast scenarios for irrigation scheduling, which is actually a seasonal decision issue. For irrigation scheduling, both the forecast quality and the length of forecast time horizon matter. Thus, longer forecasts might be necessary to evaluate the role of forecasts for irrigation scheduling in a more effective way.

Cai, Ximing; Hejazi, Mohamad I.; Wang, Dingbao

2011-09-29T23:59:59.000Z

112

Verification of The Weather Channel Probability of Precipitation Forecasts  

Science Conference Proceedings (OSTI)

The Weather Channel (TWC) is a leading provider of weather information to the general public. In this paper the reliability of their probability of precipitation (PoP) forecasts over a 14-month period at 42 locations across the United States is ...

J. Eric Bickel; Seong Dae Kim

2008-12-01T23:59:59.000Z

113

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

SciTech Connect

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

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

2012-08-15T23:59:59.000Z

114

Southern Hemisphere Medium-Range Forecast Skill and Predictability: A Comparison of Two Operational Models  

Science Conference Proceedings (OSTI)

The skill of two global numerical weather prediction models, the National Centers for Environmental Prediction (NCEP) medium-range forecast model and the European Centre for Medium-Range Weather Forecasts (ECMWF) operational model, has been ...

James A. Renwick; Craig S. Thompson

2001-09-01T23:59:59.000Z

115

A Short-Range Objective Nocturnal Temperature Forecasting Model  

Science Conference Proceedings (OSTI)

A relatively simple, objective, nocturnal temperature forecasting model suitable for freezing and near-freezing conditions has been designed so that a user, presumably a weather forecaster, can put in standard meteorological data at a particular ...

Robert A. Sutherland

1980-03-01T23:59:59.000Z

116

Weather and Forecasting Challenges in the Pacific Region of the National Weather Service  

Science Conference Proceedings (OSTI)

The large area of responsibility covered by the Pacific Region of the National Weather Service provides a unique set of challenges to operational forecasters. Extratropical, subtropical, and tropical meteorological phenomena on a wide range of ...

Kevin R. Kodama; Steven Businger

1998-09-01T23:59:59.000Z

117

Monthly Weather Forecasts in a Pest Forecasting Context: Downscaling, Recalibration, and Skill Improvement  

Science Conference Proceedings (OSTI)

Monthly weather forecasts (MOFCs) were shown to have skill in extratropical continental regions for lead times up to 3 weeks, in particular for temperature and if weekly averaged. This skill could be exploited in practical applications for ...

Martin Hirschi; Christoph Spirig; Andreas P. Weigel; Pierluigi Calanca; Jörg Samietz; Mathias W. Rotach

2012-09-01T23:59:59.000Z

118

An Improved Modeling Scheme for Freezing Precipitation Forecasts  

Science Conference Proceedings (OSTI)

To improve forecasts of various weather elements (snow, rain, and freezing precipitation) in numerical weather prediction models, a new mixed-phase cloud scheme has been developed. The scheme is based on a single prognostic equation for total ...

André Tremblay; Anna Glazer

2000-05-01T23:59:59.000Z

119

Solar forecasting review  

E-Print Network (OSTI)

of Solar Forecasting . . . . . . . . . 2.4.1 Solarbudget at the foundation of satellite based forecastingWeather Research and Forecasting (WRF) Model 7.1 Global

Inman, Richard Headen

2012-01-01T23:59:59.000Z

120

Computer Generation of Marine Weather Forecast Text  

Science Conference Proceedings (OSTI)

MARWORDS is a natural language text generation system which has been developed to synthesize marine forecasts for the Davis Strait area in Northern Canada. It uses standard manually produced predictions of wind speed, air temperature, and other ...

E. Goldberg; R. Kittredge; A. Polguère

1988-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

The Stratospheric Extension of the Canadian Global Deterministic Medium-Range Weather Forecasting System and Its Impact on Tropospheric Forecasts  

Science Conference Proceedings (OSTI)

A new system that resolves the stratosphere was implemented for operational medium-range weather forecasts at the Canadian Meteorological Centre. The model lid was raised from 10 to 0.1 hPa, parameterization schemes for nonorographic gravity wave ...

Martin Charron; Saroja Polavarapu; Mark Buehner; P. A. Vaillancourt; Cécilien Charette; Michel Roch; Josée Morneau; Louis Garand; Josep M. Aparicio; Stephen MacPherson; Simon Pellerin; Judy St-James; Sylvain Heilliette

2012-06-01T23:59:59.000Z

122

Application of soft computing models to hourly weather analysis in southern Saskatchewan, Canada  

Science Conference Proceedings (OSTI)

Accurate weather forecasts are necessary for planning our day-to-day activities. However, dynamic behavior of weather makes the forecasting a formidable challenge. This study presents a soft computing model based on a radial basis function network (RBFN) ... Keywords: Artificial neural networks, Decision support, Forecasting, Modeling, Simulation, Soft computing, Weather

Imran Maqsood; Muhammad Riaz Khan; Guo H. Huang; Rifaat Abdalla

2005-02-01T23:59:59.000Z

123

The Limited-Area Forecast Systems at the Central Weather Bureau in Taiwan  

Science Conference Proceedings (OSTI)

The Central Weather Bureau (CWB) in Taipei, Republic of China has entered the era of operational numerical weather prediction with the complete online operations of a Global Forecast System (GFS) and the Limited-Area Forecast Systems (LAFS). A ...

Bao-Fong Jeng; Hway-Jen Chen; Shwu-Ching Lin; Tzay-Ming Leou; Melinda S. Peng; Simon W. Chang; Wu-Ron Hsu; C.-P. Chang

1991-03-01T23:59:59.000Z

124

Development of a Probabilistic Convective Weather Forecast Threshold Parameter for Flight-Routing Decisions  

Science Conference Proceedings (OSTI)

This paper presents a method for determining a threshold value of probabilistic convective weather forecast data. By synchronizing air traffic data and an experimental probabilistic convective weather forecast product, it was observed that ...

Kapil Sheth; Thomas Amis; Sebastian Gutierrez-Nolasco; Banavar Sridhar; Daniel Mulfinger

2013-10-01T23:59:59.000Z

125

A Systematic Economic Approach to Evaluating Public Investment in Observations for Weather Forecasting  

Science Conference Proceedings (OSTI)

Observations of the current state of the atmosphere are a major input to production of modern weather forecasts. As a result, investments in observations are a major component of public expenditures related to weather forecasting. Consequently, ...

Rebecca E. Morss; Kathleen A. Miller; Maxine S. Vasil

2005-02-01T23:59:59.000Z

126

Development of Probabilistic Convective Weather Forecast Threshold Parameter for Flight-Routing Decisions  

Science Conference Proceedings (OSTI)

This paper presents a method for determining a threshold value of probabilistic convective weather forecast data. By synchronizing air traffic data and an experimental probabilistic convective weather forecast product, it was observed that ...

Kapil Sheth; Thomas Amis; Sebastian Gutierrez-Nolasco; Banavar Sridhar; Daniel Mulfinger

127

CloudCast: Cloud Computing for Short-Term Weather Forecasts  

Science Conference Proceedings (OSTI)

CloudCast provides clients with personalized short-term weather forecasts based on their current location using cloud services

Dilip Kumar Krishnappa; David Irwin; Eric Lyons; Michael Zink

2013-01-01T23:59:59.000Z

128

Improved Model Output Statistics Forecasts through Model Consensus  

Science Conference Proceedings (OSTI)

Consensus forecasts are computed by averaging model output statistics (MOS) forecasts based on the limited-area fine-mesh (LFM) model and the nested grid model (NGM) for the three-year period 1990–92. The test consists of four weather elements (...

Robert L. Vislocky; J. Michael Fritsch

1995-07-01T23:59:59.000Z

129

Weather Forecasting as a Learning Tool in a Large Service Course: Does Practice Make Perfect?  

Science Conference Proceedings (OSTI)

Each spring roughly 200 students, mostly nonmajors, enroll in the Introduction to Meteorology course at Iowa State University and are required to make at least 25 forecasts throughout the semester. The Dynamic Weather Forecaster (DWF) forecasting ...

Elizabeth J. Suess; Cinzia Cervato; William A. Gallus Jr.; Jonathon M. Hobbs

2013-06-01T23:59:59.000Z

130

Study of Machine Round-Off response on Weather Forecasting Simulations Using High Performance Computing Systems  

Science Conference Proceedings (OSTI)

The weather forecasting model T80L18 is found to be sensitive to variations in the computing platform. The global spectral model simulation variation due to machine round off is examined using rounding mode analysis and the perturbation methods. The ...

S. Janakiraman; J. V. Ratnam; Akshara Kaginalkar

2000-05-01T23:59:59.000Z

131

Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation  

E-Print Network (OSTI)

Lessons 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 for producing 150 draft forecasts per day, which are then post-edited by forecasters before being released

Sripada, Yaji

132

Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer Using Sounding Observations  

Science Conference Proceedings (OSTI)

This study evaluates forecasts of thermodynamic variables from five convection-allowing configurations of the Weather Research and Forecasting Model (WRF) with the Advanced Research core (WRF-ARW). The forecasts vary only in their planetary ...

Michael C. Coniglio; James Correia Jr.; Patrick T. Marsh; Fanyou Kong

2013-06-01T23:59:59.000Z

133

Dynamical Downscaling of Austral Summer Climate Forecasts over Southern Africa Using a Regional Coupled Model  

Science Conference Proceedings (OSTI)

The prediction skill of dynamical downscaling is evaluated for climate forecasts over southern Africa using the Advanced Research Weather Research and Forecasting (WRF) model. As a case study, forecasts for the December–February (DJF) season of ...

J. V. Ratnam; S. K. Behera; S. B. Ratna; C. J. de W. Rautenbach; C. Lennard; J.-J. Luo; Y. Masumoto; K. Takahashi; T. Yamagata

2013-08-01T23:59:59.000Z

134

The power of weather  

Science Conference Proceedings (OSTI)

Weather information demonstrates predictive power in forecasting electricity prices in day-ahead markets in real time. In particular, next-day weather forecasts improve the forecast accuracy of Scandinavian day-ahead electricity prices in terms of point ... Keywords: Electricity prices, GARCH models, Point and density forecasts, Weather forecasts

Christian Huurman; Francesco Ravazzolo; Chen Zhou

2012-11-01T23:59:59.000Z

135

The Application of a Simple Method for the Verification of Weather Forecasts and Seasonal Variations in Forecast Accuracy  

Science Conference Proceedings (OSTI)

The evaluation of weather forecast accuracy has always been a difficult subject to address for many reasons. In this study, a simple semiobjective method is used to examine the accuracy of zone forecasts issued by the Weldon Spring (Saint Louis) ...

Anthony R. Lupo; Patrick S. Market

2002-08-01T23:59:59.000Z

136

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 model of some physical processes such as convection, solar radiation, and.

137

Comparison of Convective Boundary Layer Velocity Spectra Retrieved from Large Eddy Simulation and Weather Research and Forecasting Model Data  

Science Conference Proceedings (OSTI)

As computing capabilities expand, operational and research environments are moving toward the use of fine-scale atmospheric numerical models. These models are attractive for users who seek accurate description of small-scale turbulent motions. One ...

Jeremy A. Gibbs; Evgeni Fedorovich

138

Development and Testing of Polar Weather Research and Forecasting (WRF) Model. Part I: Greenland Ice Sheet Meteorology  

Science Conference Proceedings (OSTI)

A polar-optimized version of the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) was developed to fill climate and synoptic needs of the polar science community and to achieve an ...

Keith M. Hines; David H. Bromwich

2008-06-01T23:59:59.000Z

139

Application of Transilient Turbulence Theory to Mesoscale Numerical Weather Forecasting  

Science Conference Proceedings (OSTI)

In this study we show that a unified turbulence parameterization, when divorced from the smoothing procedures needed for numerical stability of the host model, can be implemented in a numerical weather prediction model. Our host model is the 15-...

William H. Raymond; Roland B. Stull

1990-12-01T23:59:59.000Z

140

Use of Multiple Verification Methods to Evaluate Forecasts of Convection from Hot- and Cold-Start Convection-Allowing Models  

Science Conference Proceedings (OSTI)

This study uses both traditional and newer verification methods to evaluate two 4-km grid-spacing Weather Research and Forecasting Model (WRF) forecasts: a “cold start” forecast that uses the 12-km North American Mesoscale Model (NAM) analysis and ...

Derek R. Stratman; Michael C. Coniglio; Steven E. Koch; Ming Xue

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Weather  

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

to the latest meteorological observations, climatological information, and weather forecast products for the Los Alamos area. December 14, 2011 Snow vortex A snow vortex in Los...

142

Winter Weather Forecasting throughout the Eastern United States. Part IV: Lake Effect Snow  

Science Conference Proceedings (OSTI)

This article is the final installment of a four-part series that examines the challenge of forecasting winter weather throughout the eastern United States. This paper examines the problems and challenges of forecasting lake effect snows. The ...

Thomas A. Niziol; Warren R. Snyder; Jeff S. Waldstreicher

1995-03-01T23:59:59.000Z

143

Development of Skill by Students Enrolled in a Weather Forecasting Laboratory  

Science Conference Proceedings (OSTI)

Daily values of forecast scores are evaluated for students in a weather analysis and forecasting class (ATMS 452) offered by the Department of Atmospheric Sciences of the University of Washington during the spring terms of 1997–2007. The ...

Nicholas A. Bond; Clifford F. Mass

2009-08-01T23:59:59.000Z

144

The Thunderstorm Interactive Forecast System: Turning Automated Thunderstorm Tracks into Severe Weather Warnings  

Science Conference Proceedings (OSTI)

The Australian Bureau of Meteorology has developed a new tool called the Thunderstorm Interactive Forecast System (TIFS; formerly known as ThunderBox) for interactively producing finished severe weather warnings and other forecasts from ...

John Bally

2004-02-01T23:59:59.000Z

145

Hydrologic scales, cloud variability, remote sensing, and models: Implications for forecasting snowmelt and streamflow  

E-Print Network (OSTI)

econ. WEATHER AND FORECASTING Environmental decisions (1993seasonal, and WEATHER AND FORECASTING V OLUME 19 spatialfor details. WEATHER AND FORECASTING V OLUME 19 T ABLE 2.

Simpson, James J; Dettinger, M D; Gehrke, F; McIntire, T J; Hufford, G L

2004-01-01T23:59:59.000Z

146

Regression modeling method of space weather prediction  

E-Print Network (OSTI)

A regression modeling method of space weather prediction is proposed. It allows forecasting Dst index up to 6 hours ahead with about 90% correlation. It can also be used for constructing phenomenological models of interaction between the solar wind and the magnetosphere. With its help two new geoeffective parameters were found: latitudinal and longitudinal flow angles of the solar wind. It was shown that Dst index remembers its previous values for 2000 hours.

Parnowski, Aleksei

2009-01-01T23:59:59.000Z

147

Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical way of postprocessing forecast ensembles to create predictive probability density functions (PDFs) for weather quantities. It represents the predictive PDF as a weighted average of PDFs centered on ...

J. Mc Lean Sloughter; Adrian E. Raftery; Tilmann Gneiting; Chris Fraley

2007-09-01T23:59:59.000Z

148

Using Bayesian Model Averaging to Calibrate Forecast Ensembles  

Science Conference Proceedings (OSTI)

Ensembles used for probabilistic weather forecasting often exhibit a spread-error correlation, but they tend to be underdispersive. This paper proposes a statistical method for postprocessing ensembles based on Bayesian model averaging (BMA), ...

Adrian E. Raftery; Tilmann Gneiting; Fadoua Balabdaoui; Michael Polakowski

2005-05-01T23:59:59.000Z

149

METRo: A New Model for Road-Condition Forecasting in Canada  

Science Conference Proceedings (OSTI)

A numerical model to forecast road conditions, Model of the Environment and Temperature of Roads (METRo), has been developed to run at Canadian weather centers. METRo uses roadside observations from road weather information systems stations as ...

Louis-Philippe Crevier; Yves Delage

2001-11-01T23:59:59.000Z

150

The Performance of a Medium-Range Forecast Model in Winter–Impact of Physical Parameterizations  

Science Conference Proceedings (OSTI)

We present the results of a series of forecasts on seven weather situations from February 1976 using two models which differ only in their physical parameterizations.

A. Hollingsworth; K. Arpe; M. Tiedtke; M. Capaldo; H. Savijärvi

1980-11-01T23:59:59.000Z

151

Eta Model Precipitation Forecasts for a Period Including Tropical Storm Allison  

Science Conference Proceedings (OSTI)

A step-mountain (eta) coordinate limited-area model is being developed at the National Meteorological Center (NMC) to improve forecasts of severe weather and other mesoscale phenomena. Precipitation forecasts are reviewed for the 20-day period 16 ...

Fedor Mesinger; Thomas L. Black; David W. Plummer; John H. Ward

1990-09-01T23:59:59.000Z

152

Using the WRF Model in an Operational Streamflow Forecast System for the Jordan River  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) model was employed to provide precipitation forecasts during the 2008/09 and 2009/10 winters (wet season) for Israel and the surrounding region where complex terrain dominates. The WRF precipitation ...

Amir Givati; Barry Lynn; Yubao Liu; Alon Rimmer

2012-02-01T23:59:59.000Z

153

On the Impact of WRF Model Vertical Grid Resolution on Midwest Summer Rainfall Forecasts  

Science Conference Proceedings (OSTI)

Weather Research and Forecast (WRF) model exploratory sensitivity simulations were performed to determine the impact of vertical grid resolution (VGR) on the forecast skill of Midwest summer rainfall. Varying the VGR indicated that a refined VGR, ...

Eric A. Aligo; William A. Gallus Jr.; Moti Segal

2009-04-01T23:59:59.000Z

154

Response of model simulated weather parameters to round-off-errors on different systems  

Science Conference Proceedings (OSTI)

In this study, the weather forecasting model of the National Centre for Medium Range Weather Forecasting (NCMRWF) is used for examining the characteristics of round-off-errors on three different computer architectures - PARAM 10K, SUNFIRE 6800 and Dec ... Keywords: Floating-point arithmetic, General Circulation Model (GCM), Iterative process, Model simulation, Round-off-errors, Spectral method

S. Goel; S. K. Dash

2007-08-01T23:59:59.000Z

155

Radiation fog forecasting using a 1-dimensional model  

E-Print Network (OSTI)

The importance of fog forecasting to the aviation community, to road transportation and to the public at large is irrefutable. The deadliest aviation accident in history was in fact partly a result of fog back on 27 March 1977. This has, along with numerous less dramatic examples, helped focus many meteorological efforts into trying to forecast this phenomenon as accurately as possible. Until recently, methods of fog forecasting have relied primarily on the forecaster's ability to recognize surface weather patterns known to be favorable for producing fog and once it has formed, to state that it will persist unless the pattern changes. Unfortunately, while such methods have shown some success, many times they have led weather forecasters astray with regards to the onset and dissipation of the phenomenon. Fortunately, now with computers becoming ever-increasingly powerful, numerical models have been utilized to attempt to more accurately deal with the fog forecasting problem. This study uses a 1 dimensional model called COBEL to simulate several past fog cases in the hopes of mimicking its actual occurrence and determining what weather parameters the fog is most sensitive to. The goal is to create a technique where the weather forecaster will be able to run several fog forecasts with the model each time with different initial conditions representing the uncertain weather conditions. In this way, the forecaster will be able to use his expertise to choose the most likely scenario. Results indicate that COBEL is able to simulate the fog cases quite well. Issues remain with the model's handling of the gravitational settling rate, the fact that it currently does not include any vegetation, and its coupling process with the soil model. Nevertheless, simulations and sensitivity tests indicate that soil temperature, soil moisture, low-level winds, initial relative humidity, dew deposition and surface emissivity are the weather parameters that affect fog the most. These parameters will be prime candidates for the 1 dimensional ensemble (ODEP) technique described above.

Peyraud, Lionel

2001-01-01T23:59:59.000Z

156

The Emergence of Weather-Related Testbeds Linking Research and Forecasting Operations  

Science Conference Proceedings (OSTI)

Testbeds have emerged as a critical mechanism linking weather research with forecasting operations. The U.S. Weather Research Program (USWRP) was formed in the 1990s to help identify key gaps in research related to major weather prediction problems and ...

F. Martin Ralph; Janet Intrieri; David Andra; Jr.; Robert Atlas; Sid Boukabara; David Bright; Paula Davidson; Bruce Entwistle; John Gaynor; Steve Goodman; Jiann-Gwo Jiing; Amy Harless; Jin Huang; Gary Jedlovec; John Kain; Steven Koch; Bill Kuo; Jason Levit; Shirley Murillo; Lars Peter Riishojgaard; Timothy Schneider; Russell Schneider; Travis Smith; Steven Weiss

157

The Emergence of Weather-Related Test Beds Linking Research and Forecasting Operations  

Science Conference Proceedings (OSTI)

Test beds have emerged as a critical mechanism linking weather research with forecasting operations. The U.S. Weather Research Program (USWRP) was formed in the 1990s to help identify key gaps in research related to major weather prediction problems and ...

F. Martin Ralph; Janet Intrieri; David Andra Jr.; Robert Atlas; Sid Boukabara; David Bright; Paula Davidson; Bruce Entwistle; John Gaynor; Steve Goodman; Jiann-Gwo Jiing; Amy Harless; Jin Huang; Gary Jedlovec; John Kain; Steven Koch; Bill Kuo; Jason Levit; Shirley Murillo; Lars Peter Riishojgaard; Timothy Schneider; Russell Schneider; Travis Smith; Steven Weiss

2013-08-01T23:59:59.000Z

158

Examination of Convection-Allowing Configurations of the WRF Model for the Prediction of Severe Convective Weather: The SPC/NSSL Spring Program 2004  

Science Conference Proceedings (OSTI)

Convection-allowing configurations of the Weather Research and Forecast (WRF) model were evaluated during the 2004 Storm Prediction Center–National Severe Storms Laboratory Spring Program in a simulated severe weather forecasting environment. The ...

John S. Kain; S. J. Weiss; J. J. Levit; M. E. Baldwin; D. R. Bright

2006-04-01T23:59:59.000Z

159

The Economic Value Of Ensemble-Based Weather Forecasts  

Science Conference Proceedings (OSTI)

The potential economic benefit associated with the use of an ensemble of forecasts versus anequivalent or higher-resolution control forecast is discussed. Neither forecast systems are post-processed,except a simple calibration that is applied to ...

Yuejian Zhu; Zoltan Toth; Richard Wobus; David Richardson; Kenneth Mylne

2002-01-01T23:59:59.000Z

160

Why are survey forecasts superior to model forecasts?  

E-Print Network (OSTI)

We investigate two characteristics of survey forecasts that are shown to contribute to their superiority over purely model-based forecasts. These are that the consensus forecasts incorporate the effects of perceived changes in the long-run outlook, as well as embodying departures from the path toward the long-run expectation. Both characteristics on average tend to enhance forecast accuracy. At the level of the individual forecasts, there is scant evidence that the second characteristic enhances forecast accuracy, and the average accuracy of the individual forecasts can be improved by applying a mechanical correction.

Michael P. Clements; Michael P. Clements

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

The Sydney 2000 World Weather Research Programme Forecast Demonstration Project: Overview and Current Status  

Science Conference Proceedings (OSTI)

The first World Weather Research Programme (WWRP) Forecast Demonstration Project (FDP), with a focus on nowcasting, was conducted in Sydney, Australia, from 4 September to 21 November 2000 during a period associated with the Sydney 2000 Olympic ...

T. Keenan; P. Joe; J. Wilson; C. Collier; B. Golding; D. Burgess; P. May; C. Pierce; J. Bally; A. Crook; A. Seed; D. Sills; L. Berry; R. Potts; I. Bell; N. Fox; E. Ebert; M. Eilts; K. O'Loughlin; R. Webb; R. Carbone; K. Browning; R. Roberts; C. Mueller

2003-08-01T23:59:59.000Z

162

Assessment of the Aviation Weather Center Global Forecasts of Mesoscale Convective Systems*  

Science Conference Proceedings (OSTI)

This paper examines the precision of location and top height of mesoscale convective systems, as forecast by the Aviation Weather Center (AWC). The examination was motivated by the Mediterranean Israeli Dust Experiment (MEIDEX) on the space ...

Baruch Ziv; Yoav Yair; Karin Presman; Martin Füllekrug

2004-05-01T23:59:59.000Z

163

Weather Swap Pricing and the Optimal Size for Medium-Range Forecast Ensembles  

Science Conference Proceedings (OSTI)

Weather swap pricing involves predicting the mean temperature for the current month with the highest possible accuracy. The more days of skillful forecasts that are available, the better the monthly mean can be predicted. The ensemble mean of a ...

Stephen Jewson; Christine Ziehmann

2003-08-01T23:59:59.000Z

164

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

Science Conference Proceedings (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

165

Winter Weather Forecasting throughout the Eastern United States. Part I: An Overview  

Science Conference Proceedings (OSTI)

The complex combination of synoptic- and mesoscale interactions topographic influences, and large population densities poses a multitude of challenging problems to winter weather forecasters throughout the eastern United States. Over the years, ...

George J. Maglaras; Jeff S. Waldstreicher; Paul J. Kocin; Anthony F. Gigi; Robert A. Marine

1995-03-01T23:59:59.000Z

166

High-Resolution Weather Forecasting over Complex Orography: Sensitivity to the Assimilation of Conventional Data  

Science Conference Proceedings (OSTI)

Weather forecasting for regions with complex orography, as the Alps, presents several challenges and the task becomes even more difficult when high resolution is required. Moreover, for the Alpine region, some of the problems are due to the lack ...

Claudia Faccani; Rossella Ferretti; Guido Visconti

2003-01-01T23:59:59.000Z

167

A Strategy for Verification of Weather Element Forecasts from an Ensemble Prediction System  

Science Conference Proceedings (OSTI)

Using a Bayesian context, new measures of accuracy and skill are proposed to verify weather element forecasts from ensemble prediction systems (EPSs) with respect to individual observations. The new scores are in the form of probabilities of ...

Laurence J. Wilson; William R. Burrows; Andreas Lanzinger

1999-06-01T23:59:59.000Z

168

A Weather and Climate Enterprise Strategic Implementation Plan for Generating and Communicating Forecast Uncertainty Information  

Science Conference Proceedings (OSTI)

The American Meteorological Society (AMS) Weather and Climate Enterprise Strategic Implementation Plan for Generating and Communicating Forecast Uncertainty (the Plan) is summarized. The Plan (available on the AMS website at www.ametsoc.org/boardpges/cwce/...

Paul A. Hirschberg; Elliot Abrams; Andrea Bleistein; William Bua; Luca Delle Monache; Thomas W. Dulong; John E. Gaynor; Bob Glahn; Thomas M. Hamill; James A. Hansen; Douglas C. Hilderbrand; Ross N. Hoffman; Betty Hearn Morrow; Brenda Philips; John Sokich; Neil Stuart

2011-12-01T23:59:59.000Z

169

Toward a Combined Seasonal Weather and Crop Productivity Forecasting System: Determination of the Working Spatial Scale  

Science Conference Proceedings (OSTI)

A methodology is presented for the development of a combined seasonal weather and crop productivity forecasting system. The first stage of the methodology is the determination of the spatial scale(s) on which the system could operate; this ...

A. J. Challinor; J. M. Slingo; T. R. Wheeler; P. Q. Craufurd; D. I. F. Grimes

2003-02-01T23:59:59.000Z

170

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

Science Conference Proceedings (OSTI)

The NOAA Hazardous Weather Testbed (HWT) conducts annual spring forecasting experiments organized by the Storm Prediction Center and National Severe Storms Laboratory to test and evaluate emerging scientific concepts and technologies for improved analysis ...

Adam J. Clark; Steven J. Weiss; John S. Kain; Israel L. Jirak; Michael Coniglio; Christopher J. Melick; Christopher Siewert; Ryan A. Sobash; Patrick T. Marsh; Andrew R. Dean; Ming Xue; Fanyou Kong; Kevin W. Thomas; Yunheng Wang; Keith Brewster; Jidong Gao; Xuguang Wang; Jun Du; David R. Novak; Faye E. Barthold; Michael J. Bodner; Jason J. Levit; C. Bruce Entwistle; Tara L. Jensen; James Correia Jr.

2012-01-01T23:59:59.000Z

171

Winter Weather Forecasting throughout the Eastern United States. Part II: An Operational Perspective of Cyclogenesis  

Science Conference Proceedings (OSTI)

The complex combination of synoptic and mesoscale interactions, topographic influences, and large population densities poses a multitude of challenging problems to winter weather forecasters throughout the eastern United States. Over the years, ...

James J. Gurka; Eugene P. Auciello; Anthony F. Gigi; Jeff S. Waldstreicher; Kermit K. Keeter; Steven Businger; Laurence G. Lee

1995-03-01T23:59:59.000Z

172

Comparative Evaluation of Weather Forecasting Systems: Sufficiency, Quality, and Accuracy  

Science Conference Proceedings (OSTI)

The concept of sufficiency, originally introduced in the context of the comparison of statistical experiments, has recently been shown to provide a coherent basis for comparative evaluation of forecasting systems. Specifically, forecasting system ...

Martin Ehrendorfer; Allan H. Murphy

1988-09-01T23:59:59.000Z

173

Comparison of Model Forecast Skill of Sea-Level Pressure Along the East and West Coasts of the United States  

E-Print Network (OSTI)

1 Comparison of Model Forecast Skill of Sea-Level Pressure Along the East and West Coasts, University of Washington, Seattle, Washington Submitted to: Weather and Forecasting May 2008 Revised recent advances in numerical weather prediction, major errors in short-range forecasts still occur

Mass, Clifford F.

174

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

Science Conference Proceedings (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

175

Virtual Floe Ice Drift Forecast Model Intercomparison  

Science Conference Proceedings (OSTI)

Both sea ice forecast models and methods to measure their skill are needed for operational sea ice forecasting. Two simple sea ice models are described and tested here. Four different measures of skill are also tested. The forecasts from the ...

Robert W. Grumbine

1998-09-01T23:59:59.000Z

176

Weather Impacts, Forecasts, and Policy: An Integrated Perspective  

Science Conference Proceedings (OSTI)

Society invests considerable resources into the science and technology of weather services. In order to effectively assess the market for weather services, and thus properly scale the level of resources that, for example, the U.S. Congress or a ...

Roger Pielke Jr.; R. E. Carbone

2002-03-01T23:59:59.000Z

177

Comparison of Model Forecast Skill of Sea Level Pressure along the East and West Coasts of the United States  

Science Conference Proceedings (OSTI)

Despite recent advances in numerical weather prediction, major errors in short-range forecasts still occur. To gain insight into the origin and nature of model forecast errors, error frequencies and magnitudes need to be documented for different ...

Garrett B. Wedam; Lynn A. McMurdie; Clifford F. Mass

2009-06-01T23:59:59.000Z

178

Value of Real-Time Vegetation Fraction to Forecasts of Severe Convection in High-Resolution Models  

Science Conference Proceedings (OSTI)

Near-real-time values of vegetation fraction are incorporated into a 2-km nested version of the Advanced Research Weather Research and Forecasting (ARW) model and compared to forecasts from a control run that uses climatological values of ...

Kenneth A. James; David J. Stensrud; Nusrat Yussouf

2009-02-01T23:59:59.000Z

179

An Evaluation of Precipitation Forecasts from Operational Models and Reanalyses Including Precipitation Variations Associated with MJO Activity  

Science Conference Proceedings (OSTI)

In this paper, the results of an examination of precipitation forecasts for 1–30-day leads from global models run at the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction (NCEP) ...

John E. Janowiak; Peter Bauer; Wanqiu Wang; Phillip A. Arkin; Jon Gottschalck

2010-12-01T23:59:59.000Z

180

California hydro forecast declines on dry weather - Today ...  

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium. ... Updated March 5, 2013, to reflect weather developments.

Note: This page contains sample records for the topic "weather forecast model" 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

Ensemble Cloud Model Applications to Forecasting Thunderstorms  

Science Conference Proceedings (OSTI)

A cloud model ensemble forecasting approach is developed to create forecasts that describe the range and distribution of thunderstorm lifetimes that may be expected to occur on a particular day. Such forecasts are crucial for anticipating severe ...

Kimberly L. Elmore; David J. Stensrud; Kenneth C. Crawford

2002-04-01T23:59:59.000Z

182

The Weather Information and Skill Experiment (WISE): The Effect of Varying Levels of Information on Forecast Skill  

Science Conference Proceedings (OSTI)

The relationship between the quality and quantity of information available to meteorologists and the skill of their forecasts was investigated. Twelve meteorologists were asked to make probabilistic forecasts of significant and severe weather ...

Kenneth F. Heideman; Thomas R. Stewart; William R. Moninger; Patricia Reagan-Cirincione

1993-03-01T23:59:59.000Z

183

The Impact of Advanced Nowcasting Systems on Severe Weather Warning during the Sydney 2000 Forecast Demonstration Project: 3 November 2000  

Science Conference Proceedings (OSTI)

One of the principal aims of the Sydney 2000 Forecast Demonstration Project was to assess the utility of advanced nowcasting systems to operational severe weather forecasters. This paper describes the application of the products of a variety of ...

Neil I. Fox; Rob Webb; John Bally; Michael W. Sleigh; Clive E. Pierce; David M. L. Sills; Paul I. Joe; James Wilson; Chris G. Collier

2004-02-01T23:59:59.000Z

184

Potential of 4d-VAR for exigent forecasting of severe weather  

E-Print Network (OSTI)

Severe storms, tropical cyclones, and associated tornadoes, floods, lightning, and microbursts threaten life and property. Reliable, precise, and accurate alerts of these phenomena can trigger defensive actions and preparations. However, these crucial weather phenomena are difficult to forecast. The objective of this paper is to demonstrate the potential of 4d-VAR (four dimensional variational data assimilation) for exigent forecasting (XF) of severe storm precursors and to thereby characterize the probability of a worst-case scenario. 4d-VAR is designed to adjust the initial conditions (IC) of a numerical weather prediction model consistent with the uncertainty of the prior estimate of the IC while at the same time minimizing the misfit to available observations. For XF the same approach is taken but instead of fitting observations, a measure of damage or loss or an equivalent proxy is maximized or minimized. To accomplish this will require development of a specialized cost function for 4d-VAR. When 4d-VAR s...

Hoffman, Ross N; Nehrkorn, Thomas

2011-01-01T23:59:59.000Z

185

Ensemble Data Assimilation to Characterize Surface-Layer Errors in Numerical Weather Prediction Models  

Science Conference Proceedings (OSTI)

Experiments with the single-column implementation of the Weather Research and Forecasting Model provide a basis for deducing land–atmosphere coupling errors in the model. Coupling occurs both through heat and moisture fluxes through the land–...

J. P. Hacker; W. M. Angevine

2013-06-01T23:59:59.000Z

186

California hydro forecast declines on dry weather - Today in ...  

U.S. Energy Information Administration (EIA)

California hydroelectric generators are found along different river basins, and the weather patterns can be significantly different between the two regions, ...

187

Odds Ratio Forecasts Increase Precautionary Action for Extreme Weather Events  

Science Conference Proceedings (OSTI)

What is the best way to communicate the risk of rare but extreme weather to the public? One suggestion is to communicate the relative risk of extreme weather in the form of odds ratios; but, to the authors’ knowledge, this suggestion has never ...

Jared LeClerc; Susan Joslyn

2012-10-01T23:59:59.000Z

188

A More Extensive Investigation of the Use of Ensemble Forecasts for Dispersion Model Evaluation  

Science Conference Proceedings (OSTI)

An ensemble forecast is used as input to a Lagrangian particle dispersion model to study the effect that analysis errors in the numerical weather prediction assimilation cycle have on dispersion modeling. The wind and temperature fields from a ...

Anne Grete Straume

2001-03-01T23:59:59.000Z

189

Forecasting the space weather impact: The COMESEP project  

Science Conference Proceedings (OSTI)

The FP7 COronal Mass Ejections and Solar Energetic Particles (COMESEP) project is developing tools for forecasting geomagnetic storms and solar energetic particle (SEP) radiation storms. By analysis of historical data

N. B. Crosby; A. Veronig; E. Robbrecht; B. Vrsnak; S. Vennerstrom; O. Malandraki; S. Dalla; L. Rodriguez; N. Srivastava; M. Hesse; D. Odstrcil; COMESEP Consortium

2012-01-01T23:59:59.000Z

190

A Quasi-Lagrangian Regional Model Designed for Operational Weather Prediction  

Science Conference Proceedings (OSTI)

A regional numerical weather prediction model is designed using the quasi-Lagrangian method for operational forecasting of synoptic and mesoscale disturbances. The nonlinear advective terms and the total forcing experienced by a fluid parcel are ...

Mukut B. Mathur

1983-10-01T23:59:59.000Z

191

An Operational Model for Forecasting Probability of Precipitation and Yes/No Forecast  

Science Conference Proceedings (OSTI)

An operational system for forecasting probability of precipitation (PoP) and yes/no forecast over 10 stations during monsoon season is developed. A perfect prog method (PPM) approach is followed for statistical interpretation of numerical weather ...

Ashok Kumar; Parvinder Maini; S. V. Singh

1999-02-01T23:59:59.000Z

192

From Predicting Solar Activity to Forecasting Space Weather: Practical Examples of Research-to-Operations and Operations-to-Research  

E-Print Network (OSTI)

The successful transition of research to operations (R2O) and operations to research (O2R) requires, above all, interaction between the two communities. We explore the role that close interaction and ongoing communication played in the successful fielding of three separate developments: an observation platform, a numerical model, and a visualization and specification tool. Additionally, we will examine how these three pieces came together to revolutionize interplanetary coronal mass ejection (ICME) arrival forecasts. A discussion of the importance of education and training in ensuring a positive outcome from R2O activity follows. We describe efforts by the meteorological community to make research results more accessible to forecasters and the applicability of these efforts to the transfer of space-weather research.We end with a forecaster "wish list" for R2O transitions. Ongoing, two-way communication between the research and operations communities is the thread connecting it all.

Steenburgh, R A; Millward, G H

2013-01-01T23:59:59.000Z

193

Energy estimator for weather forecasts dynamic power management of wireless sensor networks  

Science Conference Proceedings (OSTI)

Emerging Wireless Sensor Networks (WSN) consist of spatially distributed autonomous sensors. Although an embedded battery has limited autonomy, most WSNs outperform this drawback by harvesting ambient energy from the environment. Nevertheless, this external ... Keywords: design tools, dynamic power management, weather forecasts, wireless sensor networks

Nicolas Ferry; Sylvain Ducloyer; Nathalie Julien; Dominique Jutel

2011-09-01T23:59:59.000Z

194

Downscaling of ECMWF Ensemble Forecasts for Cases of Severe Weather: Ensemble Statistics and Cluster Analysis  

Science Conference Proceedings (OSTI)

Dynamical downscaling has been applied to global ensemble forecasts to assess its impact for four cases of severe weather (precipitation and wind) over various parts of Croatia. It was performed with the Croatian 12.2-km version of the Aire ...

?edo Brankovi?; Blaženka Matja?i?; Stjepan Ivatek-Šahdan; Roberto Buizza

2008-09-01T23:59:59.000Z

195

A Weather Forecasting System using concept of Soft Computing: a new approach  

Science Conference Proceedings (OSTI)

Weather forecasting and warnings are the major services provided by the meteorological profession. Many government and private agencies are working on its behavior but still it is challenging and incomplete. We propose a new technique to construct the learning set of images

A. Sharma; U. Datta

2007-01-01T23:59:59.000Z

196

Bayesian Model Verification of NWP Ensemble Forecasts  

Science Conference Proceedings (OSTI)

Forecasts of convective precipitation have large uncertainties. To consider the forecast uncertainties of convection-permitting models, a convection-permitting ensemble prediction system (EPS) based on the Consortium for Small-scale Modeling (...

Andreas Röpnack; Andreas Hense; Christoph Gebhardt; Detlev Majewski

2013-01-01T23:59:59.000Z

197

On the Use of Mesoscale and Cloud-Scale Models in Operational Forecasting  

Science Conference Proceedings (OSTI)

In the near future, the technological capability will be available to use mesoscale and cloud-scale numerical models for forecasting convective weather in operational meteorology. We address some of the issues concerning effective utilization of ...

Harold E. Brooks; Charles A. Doswell III; Robert A. Maddox

1992-03-01T23:59:59.000Z

198

Model Bias in a Continuously Cycled Assimilation System and Its Influence on Convection-Permitting Forecasts  

Science Conference Proceedings (OSTI)

During the spring 2011 season, a real-time continuously cycled ensemble data assimilation system using the Advanced Research version of the Weather Research and Forecasting Model (WRF) coupled with the Data Assimilation Research Testbed toolkit ...

Glen S. Romine; Craig S. Schwartz; Chris Snyder; Jeff L. Anderson; Morris L. Weisman

2013-04-01T23:59:59.000Z

199

Data Mining Numerical Model Output for Single-Station Cloud-Ceiling Forecast Algorithms  

Science Conference Proceedings (OSTI)

Accurate cloud-ceiling-height forecasts derived from numerical weather prediction (NWP) model data are useful for aviation and other interests where low cloud ceilings have an impact on operations. A demonstration of the usefulness of data-mining ...

Richard L. Bankert; Michael Hadjimichael

2007-10-01T23:59:59.000Z

200

Model Output Statistics Forecasts: Three Years of Operational Experience in the Netherlands  

Science Conference Proceedings (OSTI)

In the Netherlands, one to five day Model Output Statistics (MOS) forecasts have been used operationally since November 1983. The weather elements predicted are the probability of precipitation, the conditional probability of frozen precipitation,...

C. Lemcke; S. Kruizinga

1988-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

About the Reliability of Manual Model PV Corrections to Improve Forecasts  

Science Conference Proceedings (OSTI)

The National Weather Forecast Centre of Météo-France has developed a tool that corrects the state of the atmosphere within the Action de Recherche Petite Echelle Grande Echelle (ARPEGE) operational global model by adjusting the potential vorticity ...

Philippe Arbogast; Karine Maynard; Catherine Piriou

2012-12-01T23:59:59.000Z

202

ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL  

E-Print Network (OSTI)

5.5 ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL USING RETROSPECTIVE FORECASTS, Colorado 1. INTRODUCTION Improving weather forecasts is a primary goal of the U.S. National Oceanic predictions has been to improve the accuracy of the numerical forecast models. Much effort has been expended

Hamill, Tom

203

Using Bayesian Model Averaging to Calibrate Forecast Ensembles ADRIAN E. RAFTERY, TILMANN GNEITING, FADOUA BALABDAOUI, AND MICHAEL POLAKOWSKI  

E-Print Network (OSTI)

Using Bayesian Model Averaging to Calibrate Forecast Ensembles ADRIAN E. RAFTERY, TILMANN GNEITING for probabilistic weather forecasting often exhibit a spread-error correlation, but they tend to be underdispersive centered on the individual bias-corrected forecasts, where the weights are equal to posterior probabilities

Raftery, Adrian

204

Inclusion of biomass burning in WRF-Chem: Impact of wildfires on weather forecasts  

Science Conference Proceedings (OSTI)

A plume rise algorithm for wildfires was included in WRF-Chem, and applied to look at the impact of intense wildfires during the 2004 Alaska wildfire season on weather forecasts using model resolutions of 10km and 2km. Biomass burning emissions were estimated using a biomass burning emissions model. In addition, a 1-D, time-dependent cloud model was used online in WRF-Chem to estimate injection heights as well as the final emission rates. It was shown that with the inclusion of the intense wildfires of the 2004 fire season in the model simulations, the interaction of the aerosols with the atmospheric radiation led to significant modifications of vertical profiles of temperature and moisture in cloud-free areas. On the other hand, when clouds were present, the high concentrations of fine aerosol (PM2.5) and the resulting large numbers of Cloud Condensation Nuclei (CCN) had a strong impact on clouds and microphysics, with decreased precipitation coverage and precipitation amounts during the first 12 hours of the integration, but significantly stronger storms during the afternoon hours.

Grell, G. A.; Freitas, Saulo; Stuefer, Martin; Fast, Jerome D.

2011-06-06T23:59:59.000Z

205

Experiences with 0–36-h Explicit Convective Forecasts with the WRF-ARW Model  

Science Conference Proceedings (OSTI)

Herein, a summary of the authors’ experiences with 36-h real-time explicit (4 km) convective forecasts with the Advanced Research Weather Research and Forecasting Model (WRF-ARW) during the 2003–05 spring and summer seasons is presented. These ...

Morris L. Weisman; Christopher Davis; Wei Wang; Kevin W. Manning; Joseph B. Klemp

2008-06-01T23:59:59.000Z

206

What Is the True Value of Forecasts?  

Science Conference Proceedings (OSTI)

Understanding the economic value of weather and climate forecasts is of tremendous practical importance. Traditional models that have attempted to gauge forecast value have focused on a best-case scenario, in which forecast users are assumed to ...

Antony Millner

2009-10-01T23:59:59.000Z

207

Statistical Analysis of Forecasting Models across the North Slope of Alaska during the Mixed-Phase Arctic Clouds Experiment  

Science Conference Proceedings (OSTI)

The National Centers for Environmental Prediction’s (NCEP) Eta Model, the models of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Aeronautics and Space Administration’s (NASA) Global Modeling and Assimilation ...

Victor T. Yannuzzi; Eugene E. Clothiaux; Jerry Y. Harrington; Johannes Verlinde

2009-12-01T23:59:59.000Z

208

A statistical model for risk management of electric outage forecasts  

Science Conference Proceedings (OSTI)

Risk management of power outages caused by severe weather events, such as hurricanes, tornadoes, and thunderstorms, plays an important role in electric utility distribution operations. Damage prediction based on weather forecasts on an appropriate spatial ...

H. Li; L. A. Treinish; J. R. M. Hosking

2010-05-01T23:59:59.000Z

209

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

Science Conference Proceedings (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

210

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

Science Conference Proceedings (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

211

A spatially distributed flash flood forecasting model  

Science Conference Proceedings (OSTI)

This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model ... Keywords: Distributed modelling, Dominant processes concept, Floods, Forecasting, Kalman Filter, Model accuracy, Parameter identification, Stream routing

Günter Blöschl; Christian Reszler; Jürgen Komma

2008-04-01T23:59:59.000Z

212

Ensemble-Based Exigent Analysis. Part I: Estimating Worst-Case Weather-Related Forecast Damage Scenarios  

Science Conference Proceedings (OSTI)

Exigent analysis supplements an ensemble forecast of weather-related damage with a map of the worst-case scenario (WCS), a multivariate confidence bound of the damage. For multivariate Gaussian ensembles, ensemble-based exigent analysis uses a ...

Daniel Gombos; Ross N. Hoffman

2013-06-01T23:59:59.000Z

213

Weather Classification Using Passive Acoustic Drifters  

Science Conference Proceedings (OSTI)

Weather observations are needed in remote oceanic regions to support numerical weather forecast models, to provide surface truth for satellite sensors, and to help understand global weather patterns. An acoustic mini-drifting buoy using no moving ...

Jeffrey A. Nystuen; Harry D. Selsor

1997-06-01T23:59:59.000Z

214

Using Wind Anomalies to Forecast East Coast Winter Storms  

Science Conference Proceedings (OSTI)

Forecasting major winter storms is a critical function for all weather services. Conventional model-derived fields from numerical weather prediction models most frequently utilized by operational forecasters, such as pressure level geopotential ...

Neil A. Stuart; Richard H. Grumm

2006-12-01T23:59:59.000Z

215

Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model  

E-Print Network (OSTI)

1 1 Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model 2007 Federal prices are being inputted into the model 2 Sales forecast Select yearsSales forecast Select years --Draft 0.53% Irrigation 2.76% Annual Growth Rates Preliminary Electricity ForecastAnnual Growth Rates

216

Exploiting weather forecasts for sizing photovoltaic energy bids  

E-Print Network (OSTI)

a stochastic model for PV power generation and a model for the electricity market with financial penalties, we temperature, change remarkably over the year. As a consequence, PV power generation cannot be modelled, without having to resort to complex time-varying stochastic models of PV pow

Giannitrapani, Antonello

217

The role of ICTs in downscaling and up-scaling integrated weather forecasts for farmers in sub-Saharan Africa  

Science Conference Proceedings (OSTI)

Despite global advancements in technology and inter-trade volumes, Sub-Saharan Africa is the only Region where cases of hunger have increased since 1990. Rampant and frequent droughts are one of the major causes of this. Monumental and mostly donor-funded ... Keywords: Nganyi clan of western Kenya, indigenous knowledge weather forecasts, seasonal climate forecasts, sub-Saharan Africa, wireless sensor networks

Muthoni Masinde; Antoine Bagula; Nzioka J. Muthama

2012-03-01T23:59:59.000Z

218

ASSIMILATION OF DOPPLER RADAR DATA INTO NUMERICAL WEATHER MODELS  

Science Conference Proceedings (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

219

Characteristics of High-Resolution Versions of the Met Office Unified Model for Forecasting Convection over the United Kingdom  

Science Conference Proceedings (OSTI)

With many operational centers moving toward order 1-km-gridlength models for routine weather forecasting, this paper presents a systematic investigation of the properties of high-resolution versions of the Met Office Unified Model for short-range ...

Humphrey W. Lean; Peter A. Clark; Mark Dixon; Nigel M. Roberts; Anna Fitch; Richard Forbes; Carol Halliwell

2008-09-01T23:59:59.000Z

220

Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system  

Science Conference Proceedings (OSTI)

This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...

Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders

1989-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Roel Neggers European Centre for Medium-range Weather Forecasts  

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

* . . " 0 References A short model description Sensitivity tests Results Tropospheric humidity " humidity 1 % 2 % ' 3 " % + 1 % 2 % % 3 % Updraft entrainment ' + % " 3 % 4 " +...

222

Application of Forecast Verification Science to Operational River Forecasting in the U.S. National Weather Service  

Science Conference Proceedings (OSTI)

Forecast verification in operational hydrology has been very limited to date, mainly due to the complexity of verifying both forcing input forecasts and hydrologic forecasts on multiple space–time scales. However, forecast verification needs to ...

Julie Demargne; Mary Mullusky; Kevin Werner; Thomas Adams; Scott Lindsey; Noreen Schwein; William Marosi; Edwin Welles

2009-06-01T23:59:59.000Z

223

Objectively Determined Fair-Weather CBL Depths in the ARW-WRF Model and Their Comparison to CASES-97 Observations  

Science Conference Proceedings (OSTI)

High-resolution 24-h runs of the Advanced Research version of the Weather Research and Forecasting Model are used to test eight objective methods for estimating convective boundary layer (CBL) depth h, using four planetary boundary layer schemes: ...

Margaret A. LeMone; Mukul Tewari; Fei Chen; Jimy Dudhia

2013-01-01T23:59:59.000Z

224

Forecasting during the Lake-ICE/SNOWBANDS Field Experiments  

Science Conference Proceedings (OSTI)

Despite improvements in numerical weather prediction models, statistical models, forecast decision trees, and forecasting rules of thumb, human interpretation of meteorological information for a particular forecast situation can still yield a ...

Peter J. Sousounis; Greg E. Mann; George S. Young; Richard B. Wagenmaker; Bradley D. Hoggatt; William J. Badini

1999-12-01T23:59:59.000Z

225

Statistical Wind Power Forecasting Models: Results for U.S. Wind Farms; Preprint  

DOE Green Energy (OSTI)

Electricity markets in the United States are evolving. Accurate wind power forecasts are beneficial for wind plant operators, utility operators, and utility customers. An accurate forecast makes it possible for grid operators to schedule the economically efficient generation to meet the demand of electrical customers. In the evolving markets, some form of auction is held for various forward markets, such as hour ahead or day ahead. This paper develops several statistical forecasting models that can be useful in hour-ahead markets that have a similar tariff. Although longer-term forecasting relies on numerical weather models, the statistical models used here focus on the short-term forecasts that can be useful in the hour-ahead markets. We investigate the extent to which time-series analysis can improve on simplistic persistence forecasts. This project applied a class of models known as autoregressive moving average (ARMA) models to both wind speed and wind power output.

Milligan, M.; Schwartz, M.; Wan, Y.

2003-05-01T23:59:59.000Z

226

Great Historical Events That Were Significantly Affected by the Weather: Part 8, Germany's War on the Soviet Union, 1941-45. II. Some Important Weather Forecasts, 1942-45  

Science Conference Proceedings (OSTI)

Short- to medium-range weather forecasts were prepared by Soviet meteorologists for the Battle of Stalingrad. These included forecasts for days suitable for massing troops and equipment and for starting the Soviet offensive in November 1942 that ...

J. Neumann; H. Flohn

1988-07-01T23:59:59.000Z

227

Verification of Mesoscale Numerical Weather Forecasts in Mountainous Terrain for Application to Avalanche Prediction  

Science Conference Proceedings (OSTI)

Two high-resolution, real-time, numerical weather prediction (NWP) models are verified against case study observations to quantify their accuracy and skill in the mountainous terrain of western Canada. These models, run daily at the University of ...

Claudia Roeger; Roland Stull; David McClung; Joshua Hacker; Xingxiu Deng; Henryk Modzelewski

2003-12-01T23:59:59.000Z

228

Improving week two forecasts with multi-model re-forecast ensembles  

E-Print Network (OSTI)

Improving week two forecasts with multi-model re-forecast ensembles Jeffrey S. Whitaker and Xue Wei NOAA-CIRES Climate Diagnostics Center, Boulder, CO Fr´ed´eric Vitart Seasonal Forecasting Group, ECMWF dataset of ensemble 're-forecasts' from a single model can significantly improve the skill

Whitaker, Jeffrey S.

229

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network (OSTI)

1 Increasing NOAA's computational capacity to improve global forecast modeling A NOAA of the NWS's forecast products, even its regional forecast products, are constrained by the limitations of NOAA's global forecast model. Unfortunately, our global forecasts are less accurate than those from

Hamill, Tom

230

Dynamical Properties of Model Output Statistics Forecasts  

Science Conference Proceedings (OSTI)

The dynamical properties of forecasts corrected using model output statistics (MOS) schemes are explored, with emphasis on the respective role of model and initial condition uncertainties. Analytical and numerical investigations of low-order ...

S. Vannitsem; C. Nicolis

2008-02-01T23:59:59.000Z

231

Validation of the RRTM Shortwave Radiation Model and Comparison...  

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

use at European Center for Medium-Range Weather Forecasts (ECMWF) in their weather forecast model (Morcrette et al. 2001). The absorption coefficients required for RRTM are...

232

Modeling and Forecasting the Onset and Duration of Severe Radiation Fog under Frost Conditions  

Science Conference Proceedings (OSTI)

A case of a severe radiation fog during frost conditions is analyzed as a benchmark for the development of a very high-resolution NWP model. Results by the Weather Research and Forecasting model (WRF) and the High-Resolution Limited-Area Model (...

I. R. van der Velde; G. J. Steeneveld; B. G. J. Wichers Schreur; A. A. M. Holtslag

2010-11-01T23:59:59.000Z

233

Nambe Pueblo Water Budget and Forecasting model.  

SciTech Connect

This report documents The Nambe Pueblo Water Budget and Water Forecasting model. The model has been constructed using Powersim Studio (PS), a software package designed to investigate complex systems where flows and accumulations are central to the system. Here PS has been used as a platform for modeling various aspects of Nambe Pueblo's current and future water use. The model contains three major components, the Water Forecast Component, Irrigation Scheduling Component, and the Reservoir Model Component. In each of the components, the user can change variables to investigate the impacts of water management scenarios on future water use. The Water Forecast Component includes forecasting for industrial, commercial, and livestock use. Domestic demand is also forecasted based on user specified current population, population growth rates, and per capita water consumption. Irrigation efficiencies are quantified in the Irrigated Agriculture component using critical information concerning diversion rates, acreages, ditch dimensions and seepage rates. Results from this section are used in the Water Demand Forecast, Irrigation Scheduling, and the Reservoir Model components. The Reservoir Component contains two sections, (1) Storage and Inflow Accumulations by Categories and (2) Release, Diversion and Shortages. Results from both sections are derived from the calibrated Nambe Reservoir model where historic, pre-dam or above dam USGS stream flow data is fed into the model and releases are calculated.

Brainard, James Robert

2009-10-01T23:59:59.000Z

234

Similarity retrieval from time-series tropical cyclone observations using a neural weighting generator for forecasting modeling  

Science Conference Proceedings (OSTI)

Building a forecasting model for time-series data is a tough but very valuable research topic in recent years. High variation of time-series features must be considered appropriately for an accurate prediction. For weather forecasting, which is continuous, ...

Bo Feng; James N. K. Liu

2005-09-01T23:59:59.000Z

235

RESERVOIR INFLOW FORECASTING USING NEURAL NETWORKS CHANDRASHEKAR SUBRAMANIAN  

E-Print Network (OSTI)

or over predicting electricity demand due to poor weather forecasts is several hundred million dollars outages that many in the area experienced. Deep Thunder can also improve generation-side load forecasting by providing high-resolution weather forecast data for use in electricity demand forecast models. Integrating

Manry, Michael

236

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multi-model Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

Jianguo Liu; Zhenghui Xie

237

Evaluation of MJO Forecast Skill from Several Statistical and Dynamical Forecast Models  

Science Conference Proceedings (OSTI)

This work examines the performance of Madden–Julian oscillation (MJO) forecasts from NCEP’s coupled and uncoupled general circulation models (GCMs) and statistical models. The forecast skill from these methods is evaluated in near–real time. ...

Kyong-Hwan Seo; Wanqiu Wang; Jon Gottschalck; Qin Zhang; Jae-Kyung E. Schemm; Wayne R. Higgins; Arun Kumar

2009-05-01T23:59:59.000Z

238

Further Evaluation of the National Meterological Center's Medium-Range Forecast Model Precpitation Forecasts  

Science Conference Proceedings (OSTI)

Precipitation forecasts made by the National Meteorological Center's medium-range forecast (MRF) model are evaluated for the period, 1 March 1987 to 31 March 1989. As shown by Roads and Maisel, the MRF model wet bias was substantially alleviated ...

John O. Roads; T. Norman Maisal; Jordan Alpert

1991-12-01T23:59:59.000Z

239

The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. Part III: Forecasting with Secondary-Applications Models  

Science Conference Proceedings (OSTI)

Output from the Army Test and Evaluation Command’s Four-Dimensional Weather System’s mesoscale model is used to drive secondary-applications models to produce forecasts of quantities of importance for daily decision making at U.S. Army test ...

Robert D. Sharman; Yubao Liu; Rong-Shyang Sheu; Thomas T. Warner; Daran L. Rife; James F. Bowers; Charles A. Clough; Edward E. Ellison

2008-04-01T23:59:59.000Z

240

Application of a WRF Mesoscale Data Assimilation System to Springtime Severe Weather Events 2007–09  

Science Conference Proceedings (OSTI)

An ensemble-based data assimilation system using the Weather Research and Forecasting Model (WRF) has been used to initialize forecasts of prolific severe weather events from springs 2007 to 2009. These experiments build on previous work that has ...

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

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Summer Weather Simulation for the Semiarid Lower Colorado River Basin: Case Tests  

Science Conference Proceedings (OSTI)

Accurate summertime weather forecasts, particularly the quantitative precipitation forecast (QPF), over the semiarid southwest United States pose a difficult challenge for numerical models. Two case studies, one with typical weather on 6 July ...

J. Li; X. Gao; R. A. Maddox; S. Sorooshian; K. Hsu

2003-03-01T23:59:59.000Z

242

Does increasing model stratospheric resolution improve extended range forecast skill?  

E-Print Network (OSTI)

Does increasing model stratospheric resolution improve extended range forecast skill? Greg Roff,1 forecast skill at high Southern latitudes is explored. Ensemble forecasts are made for two model configurations that differ only in vertical resolution above 100 hPa. An ensemble of twelve 30day forecasts

243

A new class of hybrid models for time series forecasting  

Science Conference Proceedings (OSTI)

Applying quantitative models for forecasting and assisting investment decision making has become more indispensable in business practices than ever before. Improving forecasting especially time series forecasting accuracy is an important yet often difficult ... Keywords: Artificial neural networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Hybrid models, Probabilistic neural networks (PNNs), Time series forecasting

Mehdi Khashei; Mehdi Bijari

2012-03-01T23:59:59.000Z

244

Forecast Issues in the Urban Zone: Report of the 10th Prospectus Development Team of the U.S. Weather Research Program  

Science Conference Proceedings (OSTI)

The 10th Prospectus Development Team (PDT–10) of the U.S. Weather Research Program was charged with identifying research needs and opportunities related to the short–term prediction of weather and air quality in urban forecast zones. Weather has ...

Walter F. Dabberdt; Andrew Crook; Cynthia Mueller; Jeremy Hales; Steven Zubrick; Witold Krajewski; J. Christopher Doran; Clark King; Ronald N. Keener; Robert Bornstein; David Rodenhuis; Paul Kocin; Michael A. Rossetti; Fred Sharrocks; Ellis M. Stanley Sr.

2000-09-01T23:59:59.000Z

245

A Fingerprinting Technique for Major Weather Events  

Science Conference Proceedings (OSTI)

Advances in numerical weather prediction have occurred on numerous fronts, from sophisticated physics packages in the latest mesoscale models to multimodel ensembles of medium-range predictions. Thus, the skill of numerical weather forecasts ...

Benjamin Root; Paul Knight; George Young; Steven Greybush; Richard Grumm; Ron Holmes; Jeremy Ross

2007-07-01T23:59:59.000Z

246

Intercomparison of Spatial Forecast Verification Methods  

Science Conference Proceedings (OSTI)

Advancements in weather forecast models and their enhanced resolution have led to substantially improved and more realistic-appearing forecasts for some variables. However, traditional verification scores often indicate poor performance because ...

Eric Gilleland; David Ahijevych; Barbara G. Brown; Barbara Casati; Elizabeth E. Ebert

2009-10-01T23:59:59.000Z

247

A strategy for verifying near-convection-resolving model forecasts at observing sites  

Science Conference Proceedings (OSTI)

Routine verification of deterministic Numerical Weather Prediction (NWP) forecasts from the convection-permitting 4 km (UK4) and near-convection-resolving 1.5 km (UKV) configurations of the Met Office Unified Model (MetUM) has shown that it is ...

Marion P. Mittermaier

248

Time dependent Directional Profit Model for Financial Time Series Forecasting  

E-Print Network (OSTI)

Time dependent Directional Profit Model for Financial Time Series Forecasting Jingtao YAO Chew Lim@comp.nus.edu.sg Abstract Goodness­of­fit is the most popular criterion for neural network time series forecasting. In the context of financial time series forecasting, we are not only concerned at how good the forecasts fit

Yao, JingTao

249

Optimal statistical model for forecasting ozone  

Science Conference Proceedings (OSTI)

The objective of this paper is to apply time series analysis and multiple regression method to ozone data in order to obtain the optimal statistical model for forecasting next day ozone level. The best estimated model is then used to produce one-step ... Keywords: ARMA (p, q), Durbin-Watson Statistic, MAPE, R-square, multiple regression

M. Abdollahian; R. Foroughi; N. Debnath

2006-04-01T23:59:59.000Z

250

A Weather-Pattern-Based Approach to Evaluate the Antarctic Mesoscale Prediction System (AMPS) Forecasts: Comparison to Automatic Weather Station Observations  

Science Conference Proceedings (OSTI)

Typical model evaluation strategies evaluate models over large periods of time (months, seasons, years, etc.) or for single case studies such as severe storms or other events of interest. The weather-pattern-based model evaluation technique ...

Melissa A. Nigro; John J. Cassano; Mark W. Seefeldt

2011-04-01T23:59:59.000Z

251

The Role of Vortex and Environment Errors in Genesis Forecasts of Hurricanes Danielle and Karl (2010)  

Science Conference Proceedings (OSTI)

An ensemble of Weather Research and Forecasting Model (WRF) forecasts initialized from a cycling ensemble Kalman filter (EnKF) system is used to evaluate the sensitivity of Hurricanes Danielle and Karl’s (2010) genesis forecasts to vortex and ...

Ryan D. Torn; David Cook

2013-01-01T23:59:59.000Z

252

Evaluating Density Forecasts: Forecast Combinations, Model Mixtures, Calibration and Sharpness  

E-Print Network (OSTI)

In a recent article Gneiting, Balabdaoui and Raftery (JRSSB, 2007) propose the criterion of sharpness for the evaluation of predictive distributions or density forecasts. They motivate their proposal by an example in which standard evaluation procedures based on probability integral transforms cannot distinguish between the ideal forecast and several competing forecasts. In this paper we show that their example has some unrealistic features from the perspective of the time-series forecasting literature, hence it is an insecure foundation for their argument that existing calibration procedures are inadequate in practice. We present an alternative, more realistic example in which relevant statistical methods, including information-based methods, provide the required discrimination between competing forecasts. We conclude that there is no need for a subsidiary criterion of sharpness.

James Mitchell; Kenneth F. Wallis

2008-01-01T23:59:59.000Z

253

Forecasting Techniques The Use of Hourly Model-Generated Soundings to Forecast Mesoscale Phenomena. Part I: Initial Assessment in Forecasting Warm-Season Phenomena  

Science Conference Proceedings (OSTI)

Since late 1995, NCEP has made available to forecasters hourly model guidance at selected sites in the form of vertical profiles of various forecast fields. These profiles provide forecasters with increased temporal resolution and greater ...

Robert E. Hart; Gregory S. Forbes; Richard H. Grumm

1998-12-01T23:59:59.000Z

254

Short-Term Forecast Validation of Six Models  

Science Conference Proceedings (OSTI)

The short-term forecast accuracy of six different forecast models over the western United States is described for January, February, and March 1996. Four of the models are operational products from the National Centers for Environmental ...

Bryan G. White; Jan Paegle; W. James Steenburgh; John D. Horel; Robert T. Swanson; Louis K. Cook; Daryl J. Onton; John G. Miles

1999-02-01T23:59:59.000Z

255

Societal and Economic Research and Applications For Weather Forecasts: Priorities for the North American THORPEX Program  

Science Conference Proceedings (OSTI)

Despite the meteorological community's long-term interest in weather–society interactions, efforts to understand socioeconomic aspects of weather prediction and to incorporate this knowledge into the weather prediction system have yet to reach ...

Rebecca E. Morss; Jeffrey K. Lazo; Barbara G. Brown; Harold E. Brooks; Philip T. Ganderton; Brian N. Mills

2008-03-01T23:59:59.000Z

256

Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian framework  

E-Print Network (OSTI)

Calibrated probabilistic forecasting using ensemble modelSutcliffe (1970), River flow forecasting through conceptuala Distributed Flood Forecasting Model with Input Uncertainty

Li, M.

2013-01-01T23:59:59.000Z

257

New Concepts in Wind Power Forecasting Models  

E-Print Network (OSTI)

of the motivations behind the project led by ANL ­ Argonne National Laboratory, together with INESC Porto from a manageable procedure to compute the solution. IV. ENTROPY AND PARZEN WINDOW PDF ESTIMATION The most well into the substation connecting it to the electric power network. Other model's input variables include forecasts

Kemner, Ken

258

Forecasting Electricity Demand by Time Series Models  

Science Conference Proceedings (OSTI)

Electricity demand is one of the most important variables required for estimating the amount of additional capacity required to ensure a sufficient supply of energy. Demand and technological losses forecasts can be used to control the generation and distribution of electricity more efficiently. The aim of this paper is to utilize time series model

E. Stoimenova; K. Prodanova; R. Prodanova

2007-01-01T23:59:59.000Z

259

The Challenge of Forecasting Heavy Rain and Flooding throughout the Eastern Region of the National Weather Service. Part I: Characteristics and Events  

Science Conference Proceedings (OSTI)

Heavy rain and flooding are of particular concern to forecasters throughout the eastern and southeastern United States. In this paper, the unique combination of synoptic-scale and mesoscale weather conditions and topographic factors that ...

Kenneth D. Lapenta; Barbara J. McNaught; Steven J. Capriola; Louis A. Giordano; Charles D. Little; Stephen D. Hrebenach; Gary M. Carter; Mario D. Valverde; Derek S. Frey

1995-03-01T23:59:59.000Z

260

The Societal, Social, and Economic Impacts of the World Weather Research Programme Sydney 2000 Forecast Demonstration Project (WWRP S2000 FDP)  

Science Conference Proceedings (OSTI)

The Sydney 2000 (S2000) Forecast Demonstration Project (FDP) was initiated by the World Meteorological Organization (WMO) World Weather Research Programme (WWRP) to enable the world meteorological community to cooperatively demonstrate advanced ...

Linda Anderson-Berry; Tom Keenan; John Bally; Roger Pielke Jr.; Roy Leigh; David King

2004-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

An Evaluation and Intercomparison of Global Analyses from the National Meteorological Center and the European Centre for Medium Range Weather Forecasts  

Science Conference Proceedings (OSTI)

In order to help establish a global climate record data sets of global analyses from the U.S. National Meteorological Center (NMC) and the European Centre for Medium Range Weather Forecasts (ECMWF) have been comprehensively evaluated.

Kevin E. Trenberth; Jerry G. Olson

1988-09-01T23:59:59.000Z

262

A Comparison of Divergent Winds from the National Meteorological Center and the European Centre for Medium Range Weather Forecasts Global Analyses for 1980–1986  

Science Conference Proceedings (OSTI)

A comparison is made of the divergent wind analyses of the National Meteorological Center (NMC) and those of the ECMWF/WMO dataset produced by the European Centre for Medium Range Weather Forecasts (ECMWF). Using a reliability criterion based on ...

Steven J. Lambert

1989-05-01T23:59:59.000Z

263

Diagnosis and Correction of Systematic Humidity Error in a Global Numerical Weather Prediction Model  

Science Conference Proceedings (OSTI)

Accuracy of humidity forecasts has been considered relatively unimportant to much of the operational numerical weather prediction (NWP) community. However, the U.S. Air Force is interested in accurate water vapor and cloud forecasts as end ...

Donald C. Norquist; Sam S. Chang

1994-11-01T23:59:59.000Z

264

Comparing limited-area 3DVAR and hybrid variational-ensemble data assimilation methods for typhoon track forecasts: Sensitivity to outer loops and vortex relocation  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) model’s “hybrid” variational-ensemble data assimilation (DA) algorithm was used to initialize WRF model forecasts of three tropical cyclones (TCs). The hybrid-initialized forecasts were compared to ...

Craig S. Schwartz; Zhiquan Liu; Xiang-Yu Huang; Ying-Hwa Kuo; Chin-Tzu Fong

265

Great Historical Events That Were Significantly Affected by the Weather: Part 8, Germany's War on the Soviet Union, 1941–45. I. Long-range Weather Forecasts for 1941–42 and Climatological Studies  

Science Conference Proceedings (OSTI)

A brief account is given of Baur's long-range weather forecast prepared in the autumn of 1941 for the 1941–42 winter in Eastern Europe. Baur's forecast called for a ‘normal’ or mild winter but the winter turned out to be one of the most severe ...

J. Neumann; H. Flohn

1987-06-01T23:59:59.000Z

266

Possibility of Skill Forecast Based on the Finite-Time Dominant Linear Solutions for a Primitive Equation Regional Forecast Model  

Science Conference Proceedings (OSTI)

The possibility of using forecast errors originating from the finite-time dominant linear modes for the prediction of forecast skill for a primitive equation regional forecast model is studied. This is similar to the method for skill prediction ...

Tomislava Vuki?evi?

1993-06-01T23:59:59.000Z

267

Performance evaluation and optimization of nested high resolution weather simulations  

Science Conference Proceedings (OSTI)

Weather models with high spatial and temporal resolutions are required for accurate prediction of meso-micro scale weather phenomena. Using these models for operational purposes requires forecasts with sufficient lead time, which in turn calls for large ...

Preeti Malakar; Vaibhav Saxena; Thomas George; Rashmi Mittal; Sameer Kumar; Abdul Ghani Naim; Saiful Azmi Bin Hj Husain

2012-08-01T23:59:59.000Z

268

Shootout-89, A Comparative Evaluation of Knowledge-based Systems That Forecast Severe Weather  

Science Conference Proceedings (OSTI)

During the summer of 1989, the Forecast Systems Laboratory of the National Oceanic and Atmospheric Administration sponsored an evaluation of artificial-intelligence-based systems that forecast severe convective storms. The evaluation experiment, ...

W. R. Moninger; C. Lusk; W. F. Roberts; J. Bullas; Bde Lorenzis; J. C. McLeod; E. Ellison; J. Flueck; P. D. Lampru; K. C. Young; J. Weaver; R. S. Philips; R. Shaw; T. R. Stewart; S. M. Zubrick

1991-09-01T23:59:59.000Z

269

A Nested Spectral Model for Hurricane Track Forecasting  

Science Conference Proceedings (OSTI)

A numerical method for analysing and forecasting a wide range of horizontal scales of motion is tested in a barotropic hurricane track forecast model. The numerical method uses cubic B-spline representations of variables on nested domains. The ...

Mark Demaria; Sim D. Aberson; Katsuyuki V. Ooyama; Stephen J. Lord

1992-08-01T23:59:59.000Z

270

Extended-Range Probability Forecasts Based on Dynamical Model Output  

Science Conference Proceedings (OSTI)

A probability forecast has advantages over a deterministic forecast as the former offers information about the probabilities of various possible future states of the atmosphere. As physics-based numerical models find their success in modern ...

Jianfu Pan; Huug van den Dool

1998-12-01T23:59:59.000Z

271

The development of a statistical forecast model for Changma  

Science Conference Proceedings (OSTI)

Forecasting year-to-year variation in East Asian summer monsoon (EASM) precipitation is one of the most challenging tasks in climate prediction because predictors are not sufficiently well known and forecast skill by numerical models is poor. In ...

Seung-Eon Lee; Kyong-Hwan Seo

272

A Probability Model for Verifying Deterministic Forecasts of Extreme Events  

Science Conference Proceedings (OSTI)

This article proposes a method for verifying deterministic forecasts of rare, extreme events defined by exceedance above a high threshold. A probability model for the joint distribution of forecasts and observations, and based on extreme-value ...

Christopher A. T. Ferro

2007-10-01T23:59:59.000Z

273

How Essential is Hydrologic Model Calibration to Seasonal Streamflow Forecasting?  

Science Conference Proceedings (OSTI)

Hydrologic model calibration is usually a central element of streamflow forecasting based on the ensemble streamflow prediction (ESP) method. Evaluation measures of forecast errors such as root-mean-square error (RMSE) are heavily influenced by ...

Xiaogang Shi; Andrew W. Wood; Dennis P. Lettenmaier

2008-12-01T23:59:59.000Z

274

Forecast Combinations of Computational Intelligence and Linear Models for the  

E-Print Network (OSTI)

Forecast Combinations of Computational Intelligence and Linear Models for the NN5 Time Series Forecasting competition Robert R. Andrawis Dept Computer Engineering Cairo University, Giza, Egypt robertrezk@eg.ibm.com November 6, 2010 Abstract In this work we introduce a forecasting model with which we participated

Atiya, Amir

275

A novel knowledge discovery model for fishery forecasting  

Science Conference Proceedings (OSTI)

In the area of ocean fisheries research, a new research interest is to use marine environment factors for fishery forecasting. This paper proposes a novel knowledge discovery model for fishery forecasting that uses the Indian Ocean big-eye tuna fishery ... Keywords: extension data mining, fishery forecasting, fuzzy rules, support vector machines

Hongchun Yuan; Ying Li; Ying Chen

2009-08-01T23:59:59.000Z

276

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1  

E-Print Network (OSTI)

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1 Adrian E. Raftery, Fadoua forecasting often exhibit a spread-skill relationship, but they tend to be underdispersive. This paper of PDFs centered around the individual (possibly bias-corrected) forecasts, where the weights are equal

Washington at Seattle, University of

277

SolarAnywhere forecast (Perez & Hoff) This chapter describes, and presents an evaluation of, the forecast models imbedded in the  

E-Print Network (OSTI)

SolarAnywhere forecast (Perez & Hoff) ABSTRACT This chapter describes, and presents an evaluation of, the forecast models imbedded in the SolarAnywhere platform. The models include satellite derived cloud motion based forecasts for the short to medium horizon (1 5 hours) and forecasts derived from NOAA

Perez, Richard R.

278

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

279

An Improved Operational System for Forecasting Precipitation Type  

Science Conference Proceedings (OSTI)

A Model Output Statistics system for forecasting the conditional probability of precipitation type (PoPT) became operational within the National Weather Service in September 1978. Forecasts are provided for three precipitation type categories: ...

Joseph R. Bocchieri; George J. Maglaras

1983-03-01T23:59:59.000Z

280

Prediction Space Weather Using an Asymmetric Cone Model for Halo CMEs  

E-Print Network (OSTI)

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

G. Michalek; N. Gopalswamy; S. Yashiro

2007-10-24T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Prediction Space Weather Using an Asymmetric Cone Model for Halo CMEs  

E-Print Network (OSTI)

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

Michalek, G; Yashiro, S

2007-01-01T23:59:59.000Z

282

A Review of Quantitative Precipitation Forecasts and Their Use in Short- to Medium-Range Streamflow Forecasting  

Science Conference Proceedings (OSTI)

Unknown future precipitation is the dominant source of uncertainty for many streamflow forecasts. Numerical weather prediction (NWP) models can be used to generate quantitative precipitation forecasts (QPF) to reduce this uncertainty. The ...

Lan Cuo; Thomas C. Pagano; Q. J. Wang

2011-10-01T23:59:59.000Z

283

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

E-Print Network (OSTI)

Total lightning mapping, along with radar and NLDN cloud-to-ground lightning data, can be used to diagnose the severity of a storm. Analysis of the 13 October 2001 supercell event (Dallas-Fort Worth, Texas), some supercells of which were tornadic, 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 rather than in reflectivity cores. A total lightning hole was associated with an intense, nontornadic supercell on 6 April 2003. This feature was nonexistent from all supercells analyzed during the 13 October case. During tornadogenesis, the radar and LDAR II data indicated updraft weakening. The height of the 30 dBZ radar top began to descend approximately 10 minutes (2 volume scans) before tornado touchdown in one storm. Total lightning and CG flash rates decreased by up to a factor of 5 to a minimum during an F2 tornado touchdown associated with this storm. LDAR II source heights all showed descent by 2-4 km during a 25 minute period prior to and during this tornado touchdown. This drastic trend of decreasing source heights was observed in two tornadic storms prior to and during tornado touchdown, but did not occur in non-tornadic supercells, suggesting that these parameters can be useful to forecasters. These observations agree with tornadogenesis theory that an updraft weakens and the mesocyclone can become divided (composed of both updraft and downdraft) when a storm becomes tornadic. LDAR II source density contours were comma-shaped in association with severe wind events within mesoscale convective systems (MCSs) on 13 October 2001 and 27 May 2002. This signature is similar to the radar reflectivity bow echo. Consistent relationships between severe weather, radar and lightning storm characteristics (i.e., lightning heights) were not found for cells within MCSs as was the case for supercells. Cell interactions within MCSs are believed to weaken these relationships as reflectivity and lightning from nearby storms contaminate the cells of interest. It is also more difficult to clearly define a cell within an MCS.

Steiger, Scott Michael

2005-12-01T23:59:59.000Z

284

Getting the Most out of Ensemble Forecasts: A Valuation Model Based on User–Forecast Interactions  

Science Conference Proceedings (OSTI)

A flexible theoretical model of perceived forecast value is proposed that explicitly includes the effects of user and ensemble characteristics and their interactions. The model can be applied to arbitrary decision problems and is sensitive to a ...

Antony Millner

2008-10-01T23:59:59.000Z

285

Verification of National Weather Service Ensemble Streamflow Predictions for Water Supply Forecasting in the Colorado River Basin  

Science Conference Proceedings (OSTI)

The Ensemble Streamflow Prediction (ESP) system, developed by the National Weather Service (NWS), uses conceptual hydrologic models and historical data to generate a set, or ensemble, of possible streamflow scenarios conditioned on the initial ...

Kristie J. Franz; Holly C. Hartmann; Soroosh Sorooshian; Roger Bales

2003-12-01T23:59:59.000Z

286

Forecasting Natural Gas Prices Using Time Series Models .  

E-Print Network (OSTI)

??The objective of this thesis is to estimate the natural gas component of the All Urban Consumer Price Index (CP-U) using time series forecasting models.… (more)

Berg, Andrew

2006-01-01T23:59:59.000Z

287

Repetitive Decision Making and the Value of Forecasts in the Cost?Loss Ratio Situation: A Dynamic Model  

Science Conference Proceedings (OSTI)

The purposes of this paper are to describe a dynamic model for repetitive decision?making in the cost–loss ratio situation and to present some theoretical and numerical results related to the optimal use and economic value of weather forecasts ...

Allan H. Murphy; Richard W. Katz; Robert L. Winkler; Wu-Ron Hsu

1985-05-01T23:59:59.000Z

288

The Geometry of Model Error  

Science Conference Proceedings (OSTI)

This paper investigates the nature of model error in complex deterministic nonlinear systems such as weather forecasting models. Forecasting systems incorporate two components, a forecast model and a data assimilation method. The latter projects ...

Kevin Judd; Carolyn A. Reynolds; Thomas E. Rosmond; Leonard A. Smith

2008-06-01T23:59:59.000Z

289

Modeling and Forecasting Electric Daily Peak Loads  

E-Print Network (OSTI)

Forecast Update As part of the Mid Term Assessment, staff is preparing a long term wholesale electricity 29, 2012 Preliminary Results of the Electricity Price Forecast Update As part of the Mid Term Assessment, staff is preparing a long term wholesale electricity market price forecast. A summary of the work

Abdel-Aal, Radwan E.

290

The Impact of Analysis Error on Medium-Range Weather Forecasts  

Science Conference Proceedings (OSTI)

All meteorological analyzed fields contain errors, the magnitude of which ultimately determines the point at which a given forecast will fail. Here, the authors explore the extent to which analysis difference fields capture certain aspects of the ...

Kyle L. Swanson; Paul J. Roebber

2008-09-01T23:59:59.000Z

291

Boater Safety: Communicating Weather Forecast Information to High-Stakes End Users  

Science Conference Proceedings (OSTI)

Recreational boaters in the Pacific Northwest understand that there is uncertainty inherent in deterministic forecasts as well as some of the factors that increase uncertainty. This was determined in an online survey of 166 boaters in the Puget ...

Sonia Savelli; Susan Joslyn

2012-01-01T23:59:59.000Z

292

MAP D-PHASE: Real-Time Demonstration of Weather Forecast Quality in the Alpine Region  

Science Conference Proceedings (OSTI)

Demonstration of probabilistic hydrological and atmospheric simulation of flood events in the Alpine region (D-PHASE) is made by the Forecast Demonstration Project in connection with the Mesoscale Alpine Programme (MAP). Its focus lies in the end-...

Mathias W. Rotach; Paolo Ambrosetti; Christof Appenzeller; Marco Arpagaus; Lionel Fontannaz; Felix Fundel; Urs Germann; Alessandro Hering; Mark A. Liniger; Marco Stoll; Andre Walser; Felix Ament; Hans-Stefan Bauer; Andreas Behrendt; Volker Wulfmeyer; François Bouttier; Yann Seity; Andrea Buzzi; Silvio Davolio; Matteo Corazza; Michael Denhard; Manfred Dorninger; Theresa Gorgas; Jacqueline Frick; Christoph Hegg; Massimiliano Zappa; Christian Keil; Hans Volkert; Chiara Marsigli; Andrea Montaini; Ron McTaggart-Cowan; Ken Mylne; Roberto Ranzi; Evelyne Richard; Andrea Rossa; Daniel Santos-Muñoz; Christoph Schär; Michael Staudinger; Yong Wang; Johannes Werhahn

2009-09-01T23:59:59.000Z

293

Computing the Low-Elevation Variant of the Haines Index for Fire Weather Forecasts  

Science Conference Proceedings (OSTI)

The Haines index is used in wildfire forecasting and monitoring to evaluate the potential contributions of atmospheric stability and humidity to the behavior of plume-dominated wildfires. The index has three variants (“low,” “mid,” and “high”) ...

Brian E. Potter; Julie A. Winkler; Dwight F. Wilhelm; Ryan P. Shadbolt; Xindi Bian

2008-02-01T23:59:59.000Z

294

Short-Term Probabilistic Forecasts of Ceiling and Visibility Utilizing High-Density Surface Weather Observations  

Science Conference Proceedings (OSTI)

An automated statistical system that utilizes regional high-density surface observations to forecast low ceiling and visibility events in the upper Midwest is presented. The system is based solely upon surface observations as predictors, ...

Stephen M. Leyton; J. Michael Fritsch

2003-10-01T23:59:59.000Z

295

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

SciTech Connect

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

296

Weather: Project homepage  

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

data with weather measurement instruments, interpreting the data, and forecasting weather conditions. Students use the Internet as a tool to research information, share...

297

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Conference Proceedings (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

298

Merging Seasonal Rainfall Forecasts from Multiple Statistical Models through Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Merging forecasts from multiple models has the potential to combine the strengths of individual models and to better represent forecast uncertainty than the use of a single model. This study develops a Bayesian model averaging (BMA) method for ...

Q. J. Wang; Andrew Schepen; David E. Robertson

2012-08-01T23:59:59.000Z

299

Early Severe Thunderstorm Forecasting and Research by the United States weather Bureau  

Science Conference Proceedings (OSTI)

In the early nineteenth century, fragmentary weather observing networks were established in portions of the United States, primarily to constitute a climatological history. The invention of the telegraph in 1833 and its availability to the public ...

Joseph O. Galway

1992-12-01T23:59:59.000Z

300

The Weather Risk Management Industry's Climate Forecast and Data Needs: A Workshop Report  

Science Conference Proceedings (OSTI)

The National Oceanic and Atmospheric Administration (NOAA), the Risk Prediction Initiative, and the Weather Risk Management Association jointly sponsored a workshop that examined a variety of issues related to climate forecastand data products ...

Richard J. Murnane; Michael Crowe; Allan Eustis; Susan Howard; Judy Koepsell; Robert Leffler; Robert Livezey

2002-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Cold Fronts Aloft and the Forecasting of Precipitation and Severe Weather East of the Rocky Mountains  

Science Conference Proceedings (OSTI)

Brief descriptions are given of four cases that illustrate the important role that cold fronts aloft (CFA) can play in producing significant weather cast of the Rocky Mountains. In all four cases, the CFA, and its associated short wave, were ...

Peter V. Hobbs; John D. Locatelli; Jonathan E. Martin

1990-12-01T23:59:59.000Z

302

VISIT: Bringing Training to Weather Service Forecasters Using a New Distance-Learning Tool  

Science Conference Proceedings (OSTI)

What is the National Oceanic and Atmospheric Administration (NOAA) National Weather Service doing in these times of rapidly changing technology and falling budgets to maintain high training standards? One solution used by NOAA's Virtual Institute ...

Anthony Mostek; John Weaver; Dan Bikos; Dan Lindsey; Bard Zajac; Scott Bachmeier; Tom Whittaker; Brian Motta; Brad Grant; Jim LaDue; John Ferree

2004-06-01T23:59:59.000Z

303

Linear Regime Duration: Is 24 Hours a Long Time in Synoptic Weather Forecasting?  

Science Conference Proceedings (OSTI)

Day-to-day variations in the growth of uncertainty in the current state of the atmosphere have led to operational ensemble weather predictions in which an ensemble of different initial conditions, each perturbed from the best estimate of the ...

Isla Gilmour; Leonard A. Smith; Roberto Buizza

2001-11-01T23:59:59.000Z

304

Use of Information by National Weather Service Forecasters and Emergency Managers during CALJET and PACJET-2001  

Science Conference Proceedings (OSTI)

Winter storms making landfall in western North America can generate heavy precipitation and other significant weather, leading to floods, landslides, and other hazards that cause significant damage and loss of life. To help alleviate these ...

Rebecca E. Morss; F. Martin Ralph

2007-06-01T23:59:59.000Z

305

Implementation of a Corporate Energy Accounting and Forecasting Model  

E-Print Network (OSTI)

The development and implementation of a Frito-Lay computer based energy consumption reporting and modeling program is discussed. The system has been designed to relate actual plant energy consumption to a standard consumption which incorporates the effects of weather, product mix, specific equipment types, and other plant factors. The model also provides energy consumption forecasts based on projected production, equipment improvements, and fuels mix. Development of the model began in August 1979 and was preceded by two years of complete auditing of all areas in two manufacturing plants plus specific processing lines in other plants to determine typical energy usage. Extensive analyses of the data resulted in the formulation of standards for the various pieces of equipment which are used as energy performance 'yardsticks'. Monthly reports permit equitable comparisons of plant energy consumption and isolation of those plants with the lowest efficiencies. The financial impact of increasing energy consumption, of the projected energy use for new plants or plant expansions, and of the effect of process changes on overall energy consumption can be also evaluated.

Kympton, H. W.; Bowman, B. M.

1981-01-01T23:59:59.000Z

306

Gulf Stream and Ring Feature Analyses for Forecast Model Validation*  

Science Conference Proceedings (OSTI)

A series of Gulf Stream forecast model test cases were developed for the Data Assimilation and Model Evaluation Experiment (DAMEE). The model initialization and verification procedure relies heavily on a series of accurate synoptic snapshots of ...

Scott M. Glenn; Michael F. Crowley

1997-12-01T23:59:59.000Z

307

Spectral Budget Analysis of the Short-Range Forecast Error of the NMC Medium-Range Forecast Model  

Science Conference Proceedings (OSTI)

The budget of the systematic component of the short-range forecast error in the National Meteorological Center's Medium-Range Forecast Model (NMC MRF) is examined. The budget is computed for the spectral coefficients and the variances of ...

Masao Kanamitsu; Suranjana Saha

1995-06-01T23:59:59.000Z

308

Solar forecasting review  

E-Print Network (OSTI)

Online 24-h solar power forecasting based on weather typeweather observations at blue hill massachusetts,” Solarof weather patterns on the intensity of solar irradiance;

Inman, Richard Headen

2012-01-01T23:59:59.000Z

309

Utilization of Automatic Weather Station Data for Forecasting High Wind Speeds at Pegasus Runway, Antarctica  

Science Conference Proceedings (OSTI)

Reduced visibility due to blowing snow can severely hinder aircraft operations in the Antarctic. Wind speeds in excess of approximately 7–13 m s?1 can result in blowing snow. The ability to forecast high wind speed events can improve the safety ...

R. E. Holmes; C. R. Stearns; G. A. Weidner; L. M. Keller

2000-04-01T23:59:59.000Z

310

A Distributed Modeling System for Short-Term to Seasonal Ensemble Streamflow Forecasting in Snowmelt Dominated Basins  

SciTech Connect

This paper describes a distributed modeling system for short-term to seasonal water supply forecasts with the ability to utilize remotely-sensed snow cover products and real-time streamflow measurements. Spatial variability in basin characteristics and meteorology is represented using a raster-based computational grid. Canopy interception, snow accumulation and melt, and simplified soil water movement are simulated in each computational unit. The model is run at a daily time step with surface runoff and subsurface flow aggregated at the basin scale. This approach allows the model to be updated with spatial snow cover and measured streamflow using an Ensemble Kalman-based data assimilation strategy that accounts for uncertainty in weather forecasts, model parameters, and observations used for updating. Model inflow forecasts for the Dworshak Reservoir in northern Idaho are compared to observations and to April-July volumetric forecasts issued by the Natural Resource Conservation Service (NRCS) for Water Years 2000 – 2006. October 1 volumetric forecasts are superior to those issued by the NRCS, while March 1 forecasts are comparable. The ensemble spread brackets the observed April-July volumetric inflows in all years. Short-term (one and three day) forecasts also show excellent agreement with observations.

Wigmosta, Mark S.; Gill, Muhammad K.; Coleman, Andre M.; Prasad, Rajiv; Vail, Lance W.

2007-12-01T23:59:59.000Z

311

Chaotic time series forecasting using locally quadratic fuzzy neural models  

Science Conference Proceedings (OSTI)

Time series forecasting in highly nonlinear and chaotic systems is a challenging research area with a variety of applications in economics, environmental sciences and various fields of engineering. This paper presents a novel Locally Quadratic Fuzzy ... Keywords: chaotic time series, forecasting, locally quadratic neural fuzzy model

Mohammad J. Mahjoob; Majid Abdollahzade; Reza Zarringhalam; Ahmad Kalhor

2008-05-01T23:59:59.000Z

312

A Preliminary Investigation of Temperature Errors in Operational Forecasting Models  

Science Conference Proceedings (OSTI)

Temperatures taken from model output (FOUS reports) routinely transmitted by the National Centers for Environmental Prediction are tabulated to determine errors during three months in the summer of 1996. These short-term model forecasts are ...

Frank P. Colby Jr.

1998-03-01T23:59:59.000Z

313

Forecasting electricity demand by hybrid machine learning model  

Science Conference Proceedings (OSTI)

This paper proposes a hybrid machine learning model for electricity demand forecasting, based on Bayesian Clustering by Dynamics (BCD) and Support Vector Machine (SVM). In the proposed model, a BCD classifier is firstly applied to cluster the input data ...

Shu Fan; Chengxiong Mao; Jiadong Zhang; Luonan Chen

2006-10-01T23:59:59.000Z

314

A Bayesian Forecast Model of Australian Region Tropical Cyclone Formation  

Science Conference Proceedings (OSTI)

A new and potentially skillful seasonal forecast model of tropical cyclone formation [tropical cyclogenesis (TCG)] is developed for the Australian region. The model is based on Poisson regression using the Bayesian approach. Predictor combinations ...

Angelika Werner; Neil J. Holbrook

2011-12-01T23:59:59.000Z

315

The Influence of Hydrologic Modeling on the Predicted Local Weather: Two-Way Coupling of a Mesoscale Weather Prediction Model and a Land Surface Hydrologic Model  

Science Conference Proceedings (OSTI)

A two-way coupling of the operational mesoscale weather prediction model known as Lokal Modell (LM; German Weather Service) with the land surface hydrologic “TOPMODEL”-Based Land Surface–Atmosphere Transfer Scheme (TOPLATS; Princeton University) ...

G. Seuffert; P. Gross; C. Simmer; E. F. Wood

2002-10-01T23:59:59.000Z

316

Model-Driven, Assertion-Based Generation of Multimedia Weather Information  

Science Conference Proceedings (OSTI)

As gridded forecasts are becoming a common source of weather data, efforts are being made to automatically produce displays for various categories of decision makers such as emergency managers and road traffic officers. This paper proposes a new ...

Stephan Kerpedjiev

1995-10-01T23:59:59.000Z

317

BAD WEATHER? THEN SUE THE WEATHERMAN!  

Science Conference Proceedings (OSTI)

Weather forecasts have become demonstrably more accurate in recent decades due to increasingly sophisticated computer technology and models. Yet scientists cannot predict the future with 100% certainty. Relying on inaccurate or inadequate ...

Roberta Klein; Roger A. Pielke Jr.

2002-12-01T23:59:59.000Z

318

An Integrated Approach to Mid- and Upper-Level Turbulence Forecasting  

Science Conference Proceedings (OSTI)

An automated procedure for forecasting mid- and upper-level turbulence that affects aircraft is described. This procedure, termed the Graphical Turbulence Guidance system, uses output from numerical weather prediction model forecasts to derive ...

R. Sharman; C. Tebaldi; G. Wiener; J. Wolff

2006-06-01T23:59:59.000Z

319

A History of Western North Pacific Tropical Cyclone Track Forecast Skill  

Science Conference Proceedings (OSTI)

The tropical cyclone (TC) track forecasting skill of operational numerical weather prediction (NWP) models and their consensus is examined for the western North Pacific from 1992 to 2002. The TC track forecasting skill of the operational NWP ...

James S. Goerss; Charles R. Sampson; James M. Gross

2004-06-01T23:59:59.000Z

320

Nonlinear Characteristics of Ensemble Perturbation Evolution and their Application to Forecasting High-impact Events  

Science Conference Proceedings (OSTI)

Ensemble forecasting is becoming an increasingly important aspect of numerical weather prediction. As ensemble perturbation evolution becomes more nonlinear as a forecast evolves, the ensemble mean can diverge from the model attractor on which ...

Brian C. Ancell

Note: This page contains sample records for the topic "weather forecast model" 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

High-Resolution GFS-Based MOS Quantitative Precipitation Forecasts on a 4-km Grid  

Science Conference Proceedings (OSTI)

The Meteorological Development Laboratory (MDL) of the National Weather Service (NWS) has developed high-resolution Global Forecast System (GFS)-based model output statistics (MOS) 6- and 12-h quantitative precipitation forecast (QPF) guidance on ...

Jerome P. Charba; Frederick G. Samplatsky

2011-01-01T23:59:59.000Z

322

NEWTON's Weather Videos  

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

day. Learn about all sorts of weather phenomena or just get a video of your daily forecast. NOAA Weather Partner's Videos NOAA Weather Partner's Videos The National Oceanic and...

323

Snowfall Limit Forecasts and Hydrological Modeling  

Science Conference Proceedings (OSTI)

Hydrological flood forecasting in mountainous areas requires accurate partitioning between rain and snowfall to properly estimate the extent of runoff contributing areas. Here a method to make use of snowfall limit information—a standard output of ...

Cara Tobin; Andrea Rinaldo; Bettina Schaefli

2012-10-01T23:59:59.000Z

324

Forecasting in Meteorology  

Science Conference Proceedings (OSTI)

Public weather forecasting heralded the beginning of modern meteorology less than 150 years ago. Since then, meteorology has been largely a forecasting discipline. Thus, forecasting could have easily been used to test and develop hypotheses, ...

C. S. Ramage

1993-10-01T23:59:59.000Z

325

The Skill of Precipitation and Surface Temperature Forecasts by the NMC Global Model during DERF II  

Science Conference Proceedings (OSTI)

This study assesses the skill of forecasts of precipitation and surface temperature by the National Meteorological Center's (NMC) global model in the 108 consecutive 30-day forecasts [known as Dynamical Extended Range Forecast II (DERF II)] that ...

Glenn H. White; Eugenia Kalnay; Rodney Gardner; Masao Kanamitsu

1993-03-01T23:59:59.000Z

326

State-of-the art of freight forecast modeling: lessons learned and the road ahead  

E-Print Network (OSTI)

of-the art of freight forecast modeling: lessons learned andof goods as well as to forecast the expected future truckused for the short-term forecasts of freight volumes on

Chow, Joseph Y.; Yang, Choon Heon; Regan, Amelia C.

2010-01-01T23:59:59.000Z

327

Simulating the IHOP_2002 Fair-Weather CBL with the WRF-ARW–Noah Modeling System. Part I: Surface Fluxes and CBL Structure and Evolution along the Eastern Track  

Science Conference Proceedings (OSTI)

Fair-weather data from the May–June 2002 International H2O Project (IHOP_2002) 46-km eastern flight track in southeast Kansas are compared to simulations using the advanced research version of the Weather Research and Forecasting model coupled to ...

Margaret A. LeMone; Fei Chen; Mukul Tewari; Jimy Dudhia; Bart Geerts; Qun Miao; Richard L. Coulter; Robert L. Grossman

2010-03-01T23:59:59.000Z

328

A Lightning Data Assimilation Technique for Mesoscale Forecast Models  

Science Conference Proceedings (OSTI)

Lightning observations have been assimilated into a mesoscale model for improvement of forecast initial conditions. Data are used from the National Lightning Detection Network (cloud-to-ground lightning detection) and a Lightning Mapping Array (...

Edward R. Mansell; Conrad L. Ziegler; Donald R. MacGorman

2007-05-01T23:59:59.000Z

329

Assimilation of Satellite Precipitable Water in a Meteorological Forecast Model  

Science Conference Proceedings (OSTI)

The lack of local humidity observations over a large portion of the globe hinders any improvement of humidity forecasting in meteorological models. However, satellite microwave radiometers routinely provide fields of precipitable water content ...

M. A. Filiberti; L. Eymard; B. Urban

1994-03-01T23:59:59.000Z

330

Volcanic Ash Forecast Transport And Dispersion (VAFTAD) Model  

Science Conference Proceedings (OSTI)

The National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory (ARL) has developed a Volcanic Ash Forecast Transport And Dispersion (VAFTAD) model for emergency response use focusing on hazards to aircraft flight operations. ...

Jerome L. Heffter; Barbara J. B. Stunder

1993-12-01T23:59:59.000Z

331

ARM - PI Product - CCPP-ARM Parameterization Testbed Model Forecast...  

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

ProductsCCPP-ARM Parameterization Testbed Model Forecast Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product :...

332

A Multistep Automatic Calibration Scheme for River Forecasting Models  

Science Conference Proceedings (OSTI)

Operational flood forecasting models vary in complexity, but nearly all have parameters for which values must be estimated. The traditional and widespread manual calibration approach requires considerable training and experience and is typically ...

Terri S. Hogue; Soroosh Sorooshian; Hoshin Gupta; Andrea Holz; Dean Braatz

2000-12-01T23:59:59.000Z

333

The ENIAC Forecasts: A Re-creation  

Science Conference Proceedings (OSTI)

The numerical forecasts made in 1950 using the Electronic Numerical Integrator and Computer (ENIAC) paved the way for the remarkable advances that have been made over the past half-century in weather prediction and climate modeling. We review the ...

Peter Lynch

2008-01-01T23:59:59.000Z

334

Assessing the Usefulness of Probabilistic Forecasts  

Science Conference Proceedings (OSTI)

The errors in both the initialization and simulated evolution of weather and climate models create significant uncertainties in forecasts at lead times beyond a few days. Modern prediction systems sample the sources of these uncertainties to ...

Stephen Cusack; Alberto Arribas

2008-04-01T23:59:59.000Z

335

Weather Forecasting for Utility Companies For energy and utility companies, expected local weather conditions during the next day or two are  

E-Print Network (OSTI)

SUBJECT: Revised Short-term Electricity Loads and Forecast 2008-2017 As part of the Mid-term Assessment-term electricity loads and forecast 2008-2017- boise 2012 .docx #12;6/28/2012 1 REVISED SHORT-TERM ELECTRICITY and as input to the Resource Adequacy analysis, we have prepared an update to the regional load forecast

336

Short-Termed Integrated Forecasting System: 1993 Model documentation report  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the Short-Term Integrated Forecasting System (STIFS) and describe its basic properties. The Energy Information Administration (EIA) of the US Energy Department (DOE) developed the STIFS model to generate short-term (up to 8 quarters), monthly forecasts of US supplies, demands, imports exports, stocks, and prices of various forms of energy. The models that constitute STIFS generate forecasts for a wide range of possible scenarios, including the following ones done routinely on a quarterly basis: A base (mid) world oil price and medium economic growth. A low world oil price and high economic growth. A high world oil price and low economic growth. This report is written for persons who want to know how short-term energy markets forecasts are produced by EIA. The report is intended as a reference document for model analysts, users, and the public.

Not Available

1993-05-01T23:59:59.000Z

337

Improvement of Long-Range Forecasting by EEOF Extrapolation Using an AR-MEM Model  

Science Conference Proceedings (OSTI)

This paper presents an optimum combination of two robust statistical techniques that can be used to improve the skill of long-range weather forecasts. The first method uses decomposition and analysis based on extended empirical orthogonal ...

C. Mares and Ileana Mares

2003-04-01T23:59:59.000Z

338

Representing Serial Correlation of Meteorological Events and Forecasts in Dynamic Decision–Analytic Models  

Science Conference Proceedings (OSTI)

A recursive solution for optimal sequences of decisions given uncertainty in future weather events, and forecasts of those events, is presented. The formulation incorporates a representation of the autocorrelation that is typically exhibited. The ...

Daniel S. Wilks

1991-07-01T23:59:59.000Z

339

A New Verification Score for Public Forecasts  

Science Conference Proceedings (OSTI)

CREF, a new verification score for public forecasts, is introduced. This verification score rewards a forecaster who forecasts a rare event accurately. CREF was used to verify local forecasts at the Weather Service Forecast Office (WSFO) in ...

Dean P. Gulezian

1981-02-01T23:59:59.000Z

340

THE PITTSBURGH REMI MODEL: LONG-TERM REMI MODEL FORECAST FOR  

E-Print Network (OSTI)

1 THE PITTSBURGH REMI MODEL: LONG-TERM REMI MODEL FORECAST FOR ALLEGHENY COUNTY AND THE PITTSBURGH made. REMI LONG-TERM FORECAST AND BEA PROJECTIONS This report includes UCSUR's 1998 economic and population projections for the Pittsburgh Region. The purpose of UCSUR's long-term regional forecasts

Sibille, Etienne

Note: This page contains sample records for the topic "weather forecast model" 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

Electricity Price Curve Modeling and Forecasting by Manifold Learning  

E-Print Network (OSTI)

This paper proposes a novel nonparametric approach for the modeling and analysis of electricity price curves by applying the manifold learning methodology—locally linear embedding (LLE). The prediction method based on manifold learning and reconstruction is employed to make short-term and mediumterm price forecasts. Our method not only performs accurately in forecasting one-day-ahead prices, but also has a great advantage in predicting one-week-ahead and one-month-ahead prices over other methods. The forecast accuracy is demonstrated by numerical results using historical price data taken from the Eastern U.S. electric power markets.

Jie Chen; Shi-Jie Deng; Xiaoming Huo

2008-01-01T23:59:59.000Z

342

The Skill of Extended-Range Extratropical Winter Dynamical Forecasts  

Science Conference Proceedings (OSTI)

The global T42 version of the French numerical weather prediction model has been used to produce monthly mean forecasts. A study based on 21 cases of 44-day forecasts (for winter months from 1983 to 1990) is presented. Nine forecasts in this ...

M. Déquá; J. F. Royer

1992-11-01T23:59:59.000Z

343

FORECASTING SOLAR RADIATION PRELIMINARY EVALUATION OF AN APPROACH  

E-Print Network (OSTI)

FORECASTING SOLAR RADIATION -- PRELIMINARY EVALUATION OF AN APPROACH BASED UPON THE NATIONAL, and undertake a preliminary evaluation of, a simple solar radiation forecast model using sky cover predictions experimental product from the United States National Weather Service (NWS) providing gridded forecasted

Perez, Richard R.

344

Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model  

E-Print Network (OSTI)

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation technologies. This paper briefly discusses the observed patterns of the diffusion of new' technologies and the determinants (both sociological and economic) which have been proposed to explain the variation in the diffusion rates. Existing market penetration models are reviewed and their capability to forecast the use of conservation technologies is assessed using a set of criteria developed for this purpose. The reasoning behind the choice of criteria is discussed. The criteria includes the range of hypothesized influences to market penetration that are incorporated into the models and the applicability of the available parameter estimates. The attributes of our methodology and forecasting model choice (a behavioral lag equation developed by Mathtech, Inc.), are displayed using a list of the judgment criteria. This method was used to forecast the use of electricity conservation technologies in industries located in the Pacific Northwest for the Bonneville Power Administration.

Lang, K.

1982-01-01T23:59:59.000Z

345

A Chapter In Space Weather: Physics and Effects  

E-Print Network (OSTI)

the activity of a particular region of geospace and thus we have space weather modeling for the solar- 1 - A Chapter In Space Weather: Physics and Effects by V. Bothmer and I.A. Daglis (editors) Springer Praxis September 2005 Draft date: March 9, 2007 Forecasting Space Weather Dimitris Vassiliadis ST

Vassiliadis, Dimitrios

346

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

347

A.: Modeling and forecasting electricity loads: A comparison  

E-Print Network (OSTI)

In this paper we study two statistical approaches to load forecasting. Both of them model electricity load as a sum of two components – a deterministic (representing seasonalities) and a stochastic (representing noise). They differ in the choice of the seasonality reduction method. Model A utilizes differencing, while Model B uses a recently developed seasonal volatility technique. In both models the stochastic component is described by an ARMA time series. Models are tested on a time series of system-wide loads from the California power market and compared with the official forecast of the California System Operator (CAISO). 1.

Rafa? Weron

2004-01-01T23:59:59.000Z

348

Multiple-Radar Data Assimilation and Short-Range Quantitative Precipitation Forecasting of a Squall Line Observed during IHOP_2002  

Science Conference Proceedings (OSTI)

The impact of multiple–Doppler radar data assimilation on quantitative precipitation forecasting (QPF) is examined in this study. The newly developed Weather Research and Forecasting (WRF) model Advanced Research WRF (ARW) and its three-...

Qingnong Xiao; Juanzhen Sun

2007-10-01T23:59:59.000Z

349

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

350

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

351

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

Science Conference Proceedings (OSTI)

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

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

2009-12-01T23:59:59.000Z

352

Use of Weather and Occupancy Forecasts for Optimal Building Climate Control  

E-Print Network (OSTI)

.) ·Emphasis on Model Predictive Control (MPC) ·Stepwise refinement & simplification of methods and models Version 15. Jan. 2009 4 OptiControl ­ Research Partners · ETH Systems Ecology Group Modeling · EMPA Building Technologies Laboratory Building physics, HVAC & energy systems, modeling, field tests

Fischlin, Andreas

353

Forecasting volatility with the multifractal random walk model  

E-Print Network (OSTI)

We study the problem of forecasting volatility for the multifractal random walk model. In order to avoid the ill posed problem of estimating the correlation length T of the model, we introduce a limiting object defined in a quotient space; formally, this object is an infinite range logvolatility. For this object and the non limiting object, we obtain precise prediction formulas and we apply them to the problem of forecasting volatility and pricing options with the MRW model in the absence of a reliable estimate of the average volatility and T.

Duchon, Jean; Vargas, Vincent

2008-01-01T23:59:59.000Z

354

Mesoscale Weather Prediction with the RUC Hybrid Isentropic–Terrain-Following Coordinate Model  

Science Conference Proceedings (OSTI)

A mesoscale atmospheric forecast model configured in a hybrid isentropic–sigma vertical coordinate and used in the NOAA Rapid Update Cycle (RUC) for operational numerical guidance is presented. The RUC model is the only quasi-isentropic forecast ...

Stanley G. Benjamin; Georg A. Grell; John M. Brown; Tatiana G. Smirnova; Rainer Bleck

2004-02-01T23:59:59.000Z

355

Forecasting the Surface Weather Elements with a Local Dynamical-Adaptation Method Using a Variational Technique  

Science Conference Proceedings (OSTI)

A simple method of dynamical adaptation of a mesoscale model has been tested to produce meteorological parameters locally adapted at meteorological stations. This method is based on the use of a soil model in association with a surface boundary-...

Christine Marais; Luc Musson-Genon

1992-06-01T23:59:59.000Z

356

Probabilistic Verification of Monthly Temperature Forecasts  

Science Conference Proceedings (OSTI)

Monthly forecasting bridges the gap between medium-range weather forecasting and seasonal predictions. While such forecasts in the prediction range of 1–4 weeks are vital to many applications in the context of weather and climate risk management, ...

Andreas P. Weigel; Daniel Baggenstos; Mark A. Liniger; Frédéric Vitart; Christof Appenzeller

2008-12-01T23:59:59.000Z

357

Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

We have shown that it is possible to predict the skill of numerical weather forecasts—a quantity which is variable from day to day and region to region. This has been accomplished using as predictor the dispersion (measured by the average ...

Eugenia Kalnay; Amnon Dalcher

1987-02-01T23:59:59.000Z

358

Evaluating a Hybrid Prognostic–Diagnostic Model That Improves Wind Forecast Resolution in Complex Coastal Topography  

Science Conference Proceedings (OSTI)

The results from a hybrid approach that combines the forecasts of a mesoscale model with a diagnostic wind model to produce high-resolution wind forecasts in complex coastal orography are evaluated. The simple diagnostic wind model [Winds on ...

Francis L. Ludwig; Douglas K. Miller; Shawn G. Gallaher

2006-01-01T23:59:59.000Z

359

An evaluation of tropical cyclone genesis forecasts from global numerical models  

Science Conference Proceedings (OSTI)

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

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

360

STORMTIPE-95: Results from a Convective Storm Forecast Experiment  

Science Conference Proceedings (OSTI)

During the spring of 1995, an operational forecast experiment using a three-dimensional cloud model was carried out for the north Texas region. Gridpoint soundings were obtained from the daily operational numerical weather prediction models run ...

Louis J. Wicker; Michael P. Kay; Michael P. Foster

1997-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Solving the problem of inadequate scoring rules for assessing probabilistic football forecast models  

E-Print Network (OSTI)

Solving the problem of inadequate scoring rules for assessing probabilistic football forecast forecasting models, and the relative simplicity of the outcome of such forecasts (they require only three their forecast accuracy. Moreover, the various scoring rules used for validation in previous studies

Fenton, Norman

362

Retrospective ENSO Forecasts: Sensitivity to Atmospheric Model and Ocean Resolution  

Science Conference Proceedings (OSTI)

Results are described from a series of 40 retrospective forecasts of tropical Pacific SST, starting 1 January and 1 July 1980–99, performed with several coupled ocean–atmosphere general circulation models sharing the same ocean model—the Modular ...

Edwin K. Schneider; Ben P. Kirtman; David G. DeWitt; Anthony Rosati; Link Ji; Joseph J. Tribbia

2003-12-01T23:59:59.000Z

363

Monthly streamflow forecasting based on improved support vector machine model  

Science Conference Proceedings (OSTI)

To improve the performance of the support vector machine (SVM) model in predicting monthly streamflow, an improved SVM model with adaptive insensitive factor is proposed in this paper. Meanwhile, considering the influence of noise and the disadvantages ... Keywords: Adaptive insensitive factor, Artificial neural network, Chaos and phase-space reconstruction theory, Streamflow forecast, Support vector machine, Wavelet

Jun Guo; Jianzhong Zhou; Hui Qin; Qiang Zou; Qingqing Li

2011-09-01T23:59:59.000Z

364

Applying Weather Analyses and Forecasts in the Navy Decision-making Process  

Science Conference Proceedings (OSTI)

The meteorologist in the navy is rarely the decision maker. The meteorological information that is produced by model output or remotely sensed data has to be presented in a more tactically relevant form before being applied by military decision ...

Samson Brand

1992-01-01T23:59:59.000Z

365

Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts  

Reports and Publications (EIA)

The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

Information Center

2010-06-01T23:59:59.000Z

366

Halloween Storm Simulations with the Space Weather Modeling Framework  

E-Print Network (OSTI)

of Michigan, Ann Arbor, MI 48109, USA In late October and early November 2003 a series of some of the most frequency communications, oil pipelines, and electricity have all become facts of life, however they all Modeling (CSEM) at the University of Michigan and its collaborators have recently built a Space Weather

De Zeeuw, Darren L.

367

Management of supply chain: an alternative modelling technique for forecasting  

E-Print Network (OSTI)

Forecasting is a necessity almost in any operation. However, the tools of forecasting are still primitive in view

Datta, Shoumen

2007-05-23T23:59:59.000Z

368

Using a Fuzzy-Petri-Net-Based Approach for the Offshore Weather Prediction  

Science Conference Proceedings (OSTI)

For the huge amounts of data related to the atmospheric elements, the difficulty of weather forecasting is very large, which require an intelligent environment. To solve the problem, a fuzzy Petri net (FPN) model to represent knowledge and the behavior ... Keywords: fuzzy Petri net, weather forecasting, intelligent database, problematic behavior

Yan Chenghua; Chen Qixiang

2009-06-01T23:59:59.000Z

369

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

E-Print Network (OSTI)

OF NUMERICAL WEATHER PREDICTION SOLAR IRRADIANCE FORECASTS IN THE US Richard Perez ASRC, Albany, NY, Perez to solar radiation forecasting include (1) numerical weather prediction (NWP) models that infer local cloud© American Solar Energy Society ­ Proc. ASES Annual Conference, Raleigh, NC, EVALUATION

Perez, Richard R.

370

A Split Explicit Reformulation of the Regional Numerical Weather Prediction Model of the Japan Meteorological Agency  

Science Conference Proceedings (OSTI)

The split explicit integration scheme for numerical weather prediction models is employed in a version of the regional numerical weather prediction model of the Japan Meteorological Agency. The finite-difference scheme of the model is designed in ...

Dean G. Duffy

1981-05-01T23:59:59.000Z

371

Forecast Skill of the Madden–Julian Oscillation in Two Canadian Atmospheric Models  

Science Conference Proceedings (OSTI)

The output of two global atmospheric models participating in the second phase of the Canadian Historical Forecasting Project (HFP2) is utilized to assess the forecast skill of the Madden–Julian oscillation (MJO). The two models are the third ...

Hai Lin; Gilbert Brunet; Jacques Derome

2008-11-01T23:59:59.000Z

372

Explicit Cloud-Scale Models for Operational Forecasts: A Note of Caution  

Science Conference Proceedings (OSTI)

As computational capacity has increased, cloud-scale numerical models are slowly being modified from pure research tools to forecast tools. Previous studies that used cloud-scale models as explicit forecast tools, in much the same way as a ...

Kimberly L. Elmore; David J. Stensrud; Kenneth C. Crawford

2002-08-01T23:59:59.000Z

373

A Stochastic-Dynamic Model for the Spatial Structure of Forecast Error Statistics  

Science Conference Proceedings (OSTI)

A simple model that yields the spatial correlation structure of global atmospheric mass-field forecast errors is derived. The model states that the relative potential vorticity of the forecast error is forced by spatially multi-dimensional white ...

R. Balgovind; A. Dalcher; M. Ghil; E. Kalnay

1983-04-01T23:59:59.000Z

374

Determination of Forecast Errors Arising from Different Components of Model Physics and Dynamics  

Science Conference Proceedings (OSTI)

This paper addresses a procedure to extract error estimates for the physical and dynamical components of a forecast model. This is a two-step process in which contributions to the forecast tendencies from individual terms of the model equations ...

T. N. Krishnamurti; J. Sanjay; A. K. Mitra; T. S. V. Vijaya Kumar

2004-11-01T23:59:59.000Z

375

Impact of Assimilating AMSU-A Radiances on Forecasts of 2008 Atlantic Tropical Cyclones Initialized with a Limited-Area Ensemble Kalman Filter  

Science Conference Proceedings (OSTI)

The impact of assimilating radiance observations from the Advanced Microwave Sounding Unit-A (AMSU-A) on forecasts of several tropical cyclones (TCs) was studied using the Weather Research and Forecasting Model (WRF) and a limited-area ensemble ...

Zhiquan Liu; Craig S. Schwartz; Chris Snyder; So-Young Ha

2012-12-01T23:59:59.000Z

376

The Challenge of Forecasting Heavy Rain and Flooding throughout the Eastern Region of the National Weather Service. Part II: Forecast Techniques and Applications  

Science Conference Proceedings (OSTI)

Over the years, as the recognition and understanding of the structure and climatic frequency of heavy-rain events has expanded, there has been a corresponding improvement in the available forecast guidance on both the national and local level. ...

Harold H. Opitz; Solomon G. Summer; David A. Wert; Warren R. Snyder; Richard J. Kane; Raymond H. Brady; Paul M. Stokols; Stephan C. Kuhl; Gary M. Carter

1995-03-01T23:59:59.000Z

377

An Explicit Cloud Physics Parameterization for Operational Numerical Weather Prediction  

Science Conference Proceedings (OSTI)

In anticipation of computers that will be able to run weather forecasting models on very fine grids fast enough for real-time purposes, an algorithm for representing water phase change and precipitation processes was developed. The design ...

Paul Schultz

1995-11-01T23:59:59.000Z

378

The New NMC Mesoscale Eta Model: Description and Forecast Examples  

Science Conference Proceedings (OSTI)

In mid-1994 a new version of the Eta Model will begin producing operational forecast guidance down to mesoscale ranges. This version will have a horizontal resolution of approximately 30 km and about 50 layers in the vertical. A summary of the ...

Thomas L. Black

1994-06-01T23:59:59.000Z

379

Mesoscale Model Experimental Forecasts of the Haar of Northeast Scotland  

Science Conference Proceedings (OSTI)

A mesoscale model is used to simulate the diurnal evolution of sea fog off the northeast Scottish coast observed on 27 April 1984. It is shown that the accuracy of the early part of the forecast is very dependent on the specification of the ...

S. P. Ballard; B. W. Golding; R. N. B. Smith

1991-09-01T23:59:59.000Z

380

Statistical Characteristics of a Real-Time Precipitation Forecasting Model  

Science Conference Proceedings (OSTI)

At Colorado State University the Regional Atmospheric Modeling System (RAMS) has been used to produce real-time forecasts of precipitation for the Colorado mountain region since 1991. Originally a so-called dump-bucket scheme was used to generate ...

Brian Gaudet; William R. Cotton

1998-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Winter Weather Forecasting throughout the Eastern United States. Part III: The Effects of Topography and the Variability of Winter Weather in the Carolinas and Virginia  

Science Conference Proceedings (OSTI)

Winter weather in the Carolinas and Virginia is highly variable and influenced by the area's diverse topography and geography. The Gulf Stream, the highest mountains in the Appalachians, the largest coastal lagoonal system in the United States, ...

Kermit K. Keeter; Steven Businger; Laurence G. Lee; Jeff S. Waldstreicher

1995-03-01T23:59:59.000Z

382

Dynamical forecast experiments with a baroclinic quasigeostrophic open ocean model  

Science Conference Proceedings (OSTI)

We report here on a series of numerical forecast experiments using a baroclinic quasigeostropic open ocean model. A simulation has been carried out to produce a model data set consisting of values of streamfunction and potential vorticity in four dimensions. This data set exhibits quasiturbulent characteristics similar to those of the mesoscale eddy field in the North Western Atlantic. The simulation has been carried out for several model years over many independent synoptic realizations.

Robert N. Miller; Allan R. Robinson

1984-01-01T23:59:59.000Z

383

Object-Based Evaluation of the Impact of Horizontal Grid Spacing on Convection-Allowing Forecasts  

Science Conference Proceedings (OSTI)

Forecasts generated by the Center for Analysis and Prediction of Storms with 1- and 4-km grid spacing using the Advanced Research Weather Research and Forecasting Model (ARW-WRF; ARW1 and ARW4, respectively) for the 2009–11 NOAA Hazardous Weather ...

Aaron Johnson; Xuguang Wang; Fanyou Kong; Ming Xue

2013-10-01T23:59:59.000Z

384

A PGAS Implementation by Co-design of the ECMWF Integrated Forecasting System (IFS)  

Science Conference Proceedings (OSTI)

Today the European Centre for Medium-Range Weather Forecasts (ECMWF) runs a 16 km global T1279 operational weather forecast model using 1,536 cores of an IBM Power7. Following the historical evolution in resolution upgrades, ECMWF could expect to be ... Keywords: PGAS, COARRAYS, FORTRAN2008, CRESTA,

George Mozdzynski, Mats Hamrud, Nils Wedi, Jens Doleschal, Harvey Richardson

2012-11-01T23:59:59.000Z

385

Crude Oil Price Forecasting: A Transfer Learning Based Analog Complexing Model  

Science Conference Proceedings (OSTI)

Most of the existing models for oil price forecasting only use the data in the forecasted time series itself. This study proposes a transfer learning based analog complexing model (TLAC). It first transfers some related time series in source domain to ... Keywords: transfer learning method, analog complexing model, genetic algorithm, crude oil price forecasting

Jin Xiao; Changzheng He; Shouyang Wang

2012-08-01T23:59:59.000Z

386

USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING  

E-Print Network (OSTI)

USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING Roy MENDELSSOHN! ABSTRACT Box·Jenkins models are suggested as appropriate models for forecasting fishery dynamics in Hawaii. An actual 12-month forecast is shown to give a reasonable fit to the observed data. Most

387

Model documentation: electricity market module. [15 year forecasts  

SciTech Connect

This report documents the electricity market model. This model is a component of the Intermediate Future Forecasting System (IFFS), the energy market model used to provide projections of energy markets up to 15 years into the future. The electricity market model was developed by the Supply Analysis and Integration Branch as part of building the larger system. This report is written for an audience consisting of mathematical economists, statisticians, operations research analysts, and utility planners. This report contains an overview and a mathematical specification of the electricity market module. It includes a description of the model logic and the individual subroutines in the computer code. A companion document Intermediate Future Forecasting System: Executive Summary (DOE/EIA-430) provides an overview of the components in IFFS and their linkages. 22 figures, 2 tables.

Sanders, R.C.; Murphy, F.H.

1984-12-01T23:59:59.000Z

388

Regional load-curve models: QUERI's model long-run forecasts and sensitivity analysis. Volume 4. Final report. [Hourly demand in 32 US regions  

SciTech Connect

This report presents detailed forecasts of the hourly demand for electricity in 32 regions of the US through the year 2000. The forecasts are generated by a load curve model estimated by QUERI and described in Volume II of this report. Two primary sets of input assumptions for this model are utilized: one based on DRI's macro, regional and sectoral models is called the Baseline Scenario while the other, which is a projection of historical trends, is the Extrapolation Scenario. Under both assumptions, the growth rates of electricity are forecast to slow from historical levels. Load factors are generally projected to continue to decline; most regions are forecast to remain Summer peaking but this is rather sensitive to the choice of scenario. By considering other scenarios which are small perturbations of the Baseline assumptions, elasticities of average, peak and hourly loads are calculated. Different weather assumptions are also examined for the sensitivity of the load shapes to changes in the weather.

Engle, R.F.; Granger, C.W.J.; Ramanathan, R.

1981-09-01T23:59:59.000Z

389

Summer-Season Forecast Experiments with the NCEP Climate Forecast System Using Different Land Models and Different Initial Land States  

Science Conference Proceedings (OSTI)

To examine the impact from land model upgrades and different land initializations on the National Centers for Environmental Prediction (NCEP)’s Climate Forecast System (CFS), extensive T126 CFS experiments are carried out for 25 summers with 10 ...

Rongqian Yang; Kenneth Mitchell; Jesse Meng; Michael Ek

2011-05-01T23:59:59.000Z

390

Probabilistic Forecast Guidance for Severe Thunderstorms Based on the Identification of Extreme Phenomena in Convection-Allowing Model Forecasts  

Science Conference Proceedings (OSTI)

With the advent of convection-allowing NWP models (CAMs) comes the potential for new forms of forecast guidance. While CAMs lack the required resolution to simulate many severe phenomena associated with convection (e.g., large hail, downburst ...

Ryan A. Sobash; John S. Kain; David R. Bright; Andrew R. Dean; Michael C. Coniglio; Steven J. Weiss

2011-10-01T23:59:59.000Z

391

Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities  

Science Conference Proceedings (OSTI)

Since April 2007, the numerical weather prediction model, COSMO (Consortium for Small Scale Modelling), has been used operationally in a convection-permitting configuration, named COSMO-DE, at the Deutscher Wetterdienst (DWD; German weather ...

Michael Baldauf; Axel Seifert; Jochen Förstner; Detlev Majewski; Matthias Raschendorfer; Thorsten Reinhardt

2011-12-01T23:59:59.000Z

392

Review of Wind Energy Forecasting Methods for Modeling Ramping Events  

DOE Green Energy (OSTI)

Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

2011-03-28T23:59:59.000Z

393

The WGNE Assessment of Short-term Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

Twenty-four-hour and 48-h quantitative precipitation forecasts (QPFs) from 11 operational numerical weather prediction models have been verified for a 4-yr period against rain gauge observations over the United States, Germany, and Australia to ...

Elizabeth E. Ebert; Ulrich Damrath; Werner Wergen; Michael E. Baldwin

2003-04-01T23:59:59.000Z

394

Short-Term Single-Station Forecasting of Precipitation  

Science Conference Proceedings (OSTI)

Forecast probabilities of rain were calculated up to 12 hours in advance using a Markov chain model applied to three-hourly observations from five major Australian cities. The four weather states chosen in this first study were three cloudiness ...

A. J. Miller; L. M. Leslie

1984-06-01T23:59:59.000Z

395

Probabilistic Quantitative Precipitation Forecast for Flood Prediction: An Application  

Science Conference Proceedings (OSTI)

This paper outlines a methodology to produce probabilistic quantitative precipitation forecasts by means of a dedicated uncertainty processor for weather model output. The uncertainty processor is developed as a component of a Bayesian ...

P. Reggiani; A. H. Weerts

2008-02-01T23:59:59.000Z

396

The Behavior of Gravitational Modes in Numerical Forecasts with the NCAR Community Climate Model  

Science Conference Proceedings (OSTI)

Characteristics of gravitational-wave noise in noninitialized forecasts were investigated with the NCAR Community Climate Model. Forecasts were begun from FGGE analyses. The behavior of individual, gravitational normal modes was examined. In ...

R. M. Errico; D. L. Williamson

1988-09-01T23:59:59.000Z

397

Short-Range Forecasting and Nowcasting Using a Simple, Isentropic Prediction Model  

Science Conference Proceedings (OSTI)

The recent advancement of mini- and microcomputers into the local-work environment can provide local forecast offices with the capability to run simple numerical models for specific nowcasting and short-term forecast needs. While the capabilities ...

Ralph A. Petersen; Jeffrey H. Homan

1989-03-01T23:59:59.000Z

398

An Application of Model Output Statistics to the Development of a Local Wind Regime Forecast Procedure  

Science Conference Proceedings (OSTI)

The Model Output Statistics (MOS) approach is used to develop a procedure for forecasting the occurrence of a local wind regime at Rota, Spain known as the levante. Variables derived solely from surface pressure and 500 mb height forecast fields ...

Robert A. Godfrey

1982-12-01T23:59:59.000Z

399

A Single-Station Approach to Model Output Statistics Temperature Forecast Error Assessment  

Science Conference Proceedings (OSTI)

Error characteristics of model output statistics (MOS) temperature forecasts are calculated for over 200 locations around the continental United States. The forecasts are verified on a station-by-station basis for the year 2001. Error measures ...

Andrew A. Taylor; Lance M. Leslie

2005-12-01T23:59:59.000Z

400

Probabilistic Forecasts of Precipitation in Terms of Quantiles Using NWP Model Output  

Science Conference Proceedings (OSTI)

At sites with observations it is often possible to improve or enrich NWP model forecasts by means of statistical methods. Such forecasts are almost exclusively deterministic or probabilities of discrete events. In this paper a flexible approach ...

John Bjørnar Bremnes

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

STORMTIPE: A Forecasting Experiment Using a Three-Dimensional Cloud Model  

Science Conference Proceedings (OSTI)

An experiment using a three-dimensional cloud-scale numerical model in an operational forecasting environment was carried out in the spring of 1991. It involved meteorologists generating forecast environmental conditions associated with ...

Harold E. Brooks; Charles A. Doswell III; Louis J. Wicker

1993-09-01T23:59:59.000Z

402

Does increasing model stratospheric resolution improve5 extended-range forecast skill?6  

E-Print Network (OSTI)

1 1 2 3 4 Does increasing model stratospheric resolution improve5 extended-range forecast skill?6 7 The effect of stratospheric resolution on extended-range forecast skill at high latitudes2 in the Southern Hemisphere is explored. Ensemble forecasts are made for two model3 configurations that differ only

Birner, Thomas

403

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model  

E-Print Network (OSTI)

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model Neal Wagner programming (GP) to the task of forecasting with favorable results. However, these studies, like those "dynamic" GP model that is specifically tailored for forecasting in non-static environments. This Dynamic

Michalewicz, Zbigniew

404

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting  

Science Conference Proceedings (OSTI)

Improving forecasting especially time series forecasting accuracy is an important yet often difficult task facing decision makers in many areas. Both theoretical and empirical findings have indicated that integration of different models can be an effective ... Keywords: Artificial neural networks (ANNs), Auto-regressive integrated moving average (ARIMA), Hybrid models, Time series forecasting

Mehdi Khashei; Mehdi Bijari

2011-03-01T23:59:59.000Z

405

Forecast Calls for Better Models: Examining the Core  

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

Forecast Calls for Better Models: Examining the Core Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Predicting how atmospheric aerosols influence cloud formation and the resulting feedback to climate is a challenge that limits the accuracy of atmospheric models. This is especially true in the Arctic, where mixed-phase (both ice- and liquid-based) clouds are frequently observed, but the processes that determine their composition are poorly understood. To obtain a closer look at what makes up Arctic clouds, scientists characterized cloud droplets and ice crystals collected at the North Slope of Alaska as part of the Indirect and Semi-Direct Aerosol Campaign (ISDAC) field study

406

Effects of soot-induced snow albedo change on snowpack and hydrological cycle in western United States based on Weather Research and Forecasting chemistry and regional climate simulations  

Science Conference Proceedings (OSTI)

Radiative forcing induced by soot on snow is a major anthropogenic forcing affecting the global climate. However, it is uncertain how the soot-induced snow albedo perturbation affects regional snowpack and the hydrological cycle. In this study we simulated the deposition of soot aerosol on snow and investigated the resulting impact on snowpack and the surface water budget in the western United States. A yearlong simulation was performed using the chemistry version of the Weather Research and Forecasting model (WRF-Chem) to determine an annual budget of soot deposition, followed by two regional climate simulations using WRF in meteorology-only mode, with and without the soot-induced snow albedo perturbations. The chemistry simulation shows large spatial variability in soot deposition that reflects the localized emissions and the influence of the complex terrain. The soot-induced snow albedo perturbations increase the net solar radiation flux at the surface during late winter to early spring, increase the surface air temperature, reduce snow water equivalent amount, and lead to reduced snow accumulation and less spring snowmelt. These effects are stronger over the central Rockies and southern Alberta, where soot deposition and snowpack overlap the most. The indirect forcing of soot accelerates snowmelt and alters stream flows, including a trend toward earlier melt dates in the western United States. The soot-induced albedo reduction initiates a positive feedback process whereby dirty snow absorbs more solar radiation, heating the surface and warming the air. This warming causes reduced snow depth and fraction, which further reduces the regional surface albedo for the snow covered regions. Our simulations indicate that the change of maximum snow albedo induced by soot on snow contributes to 60% of the net albedo reduction over the central Rockies. Snowpack reduction accounts for the additional 40%.

Qian, Yun; Gustafson, William I.; Leung, Lai-Yung R.; Ghan, Steven J.

2009-02-14T23:59:59.000Z

407

Comparative Analysis of the Local Observation-Based (LOB) Method and the Nonparametric Regression-Based Method for Gridded Bias Correction in Mesoscale Weather Forecasting  

Science Conference Proceedings (OSTI)

The comparative analysis of three methods for objective grid-based bias removal in mesoscale numerical weather prediction models is considered. The first technique is the local observation-based (LOB) method that extends further the approaches of ...

Yulia R. Gel

2007-12-01T23:59:59.000Z

408

Model Fidelity versus Skill in Seasonal Forecasting  

Science Conference Proceedings (OSTI)

The relation between skill and fidelity of seasonal mean hindcasts of surface temperature by seven coupled atmosphere–ocean models is investigated. By definition, fidelity measures the agreement between model and observational climatological ...

Timothy DelSole; Jagadish Shukla

2010-09-01T23:59:59.000Z

409

Forecast Combinations  

E-Print Network (OSTI)

Forecast combinations have frequently been found in empirical studies to produce better forecasts on average than methods based on the ex-ante best individual forecasting model. Moreover, simple combinations that ignore correlations between forecast errors often dominate more refined combination schemes aimed at estimating the theoretically optimal combination weights. In this chapter we analyze theoretically the factors that determine the advantages from combining forecasts (for example, the degree of correlation between forecast errors and the relative size of the individual modelsforecast error variances). Although the reasons for the success of simple combination schemes are poorly understood, we discuss several possibilities related to model misspecification, instability (non-stationarities) and estimation error in situations where thenumbersofmodelsislargerelativetothe available sample size. We discuss the role of combinations under asymmetric loss and consider combinations of point, interval and probability forecasts. Key words: Forecast combinations; pooling and trimming; shrinkage methods; model misspecification, diversification gains

Allan Timmermann; Jel Codes C

2006-01-01T23:59:59.000Z

410

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

SciTech Connect

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

Chiswell, S

2009-01-11T23:59:59.000Z

411

Use and Value of Multiple-Period Forecasts in a Dynamic Model of the Cost-Loss Ratio Situation  

Science Conference Proceedings (OSTI)

On most forecasting occasions forecasts are made for several successive periods, but decision-making models have traditionally neglected the impact of the potentially useful information contained in forecasts for periods beyond the initial ...

Edward S. Epstein; Allan H. Murphy

1988-03-01T23:59:59.000Z

412

A Comparison of the Noah and OSU Land Surface Models in the ECPC Seasonal Forecast Model  

Science Conference Proceedings (OSTI)

The Noah land surface model (LSM) has recently been implemented into the Experimental Climate Prediction Center’s (ECPC’s) global Seasonal Forecast Model (SFM). Its performance is compared to the older ECPC SFM with the Oregon State University (...

Laurel L. De Haan; Masao Kanamitsu; Cheng-Hsuan Lu; John O. Roads

2007-10-01T23:59:59.000Z

413

Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) for Weather Radars  

Science Conference Proceedings (OSTI)

The Gaussian model adaptive processing in the time domain (GMAP-TD) method for ground clutter suppression and signal spectral moment estimation for weather radars is presented. The technique transforms the clutter component of a weather radar ...

Cuong M. Nguyen; V. Chandrasekar

2013-11-01T23:59:59.000Z

414

Using Temporal Modes of Rainfall to Evaluate the Performance of a Numerical Weather Prediction Model  

Science Conference Proceedings (OSTI)

The authors demonstrate that much can be learned about the performance of a numerical weather prediction (NWP) model by examining the temporal modes of its simulated rainfall. Observations from the Weather Surveillance Radar-1988 Doppler (WSR-88D)...

Jason C. Knievel; David A. Ahijevych; Kevin W. Manning

2004-12-01T23:59:59.000Z

415

The Quality of Skill Forecasts for a Low-Order Spectral Model  

Science Conference Proceedings (OSTI)

A skill forecast gives the probability distribution for the error in the forecast. The purpose of this paper is to develop a skill-forecasting method. The method is applied to a spectral two-layer quasigeostrophic atmospheric model with a ...

P. L. Houtekamer

1992-12-01T23:59:59.000Z

416

Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks  

Science Conference Proceedings (OSTI)

Neural networks have been widely used for short-term, and to a lesser degree medium and long-term, demand forecasting. In the majority of cases for the latter two applications, multivariate modeling was adopted, where the demand time series is related ... Keywords: Abductive networks, Energy demand, Medium-term load forecasting, Neural networks, Time series forecasting, Univariate time series analysis

R. E. Abdel-Aal

2008-05-01T23:59:59.000Z

417

Toward Improving High-Resolution Numerical Hurricane Forecasting: Influence of Model Horizontal Grid Resolution, Initialization, and Physics  

Science Conference Proceedings (OSTI)

This paper provides an account of the performance of an experimental version of the Hurricane Weather Research and Forecasting system (HWRFX) for 87 cases of Atlantic tropical cyclones during the 2005, 2007, and 2009 hurricane seasons. The HWRFX ...

Sundararaman G. Gopalakrishnan; Stanley Goldenberg; Thiago Quirino; Xuejin Zhang; Frank Marks Jr.; Kao-San Yeh; Robert Atlas; Vijay Tallapragada

2012-06-01T23:59:59.000Z

418

Update On The Wholesale Electricity Price Forecast & Modeling Results  

E-Print Network (OSTI)

Forecast Base Case includes § Medium Demand Forecast § Medium Natural Gas Price Forecast § Federal CO2 Rathdrum Power LLC-ID 4) CO2 Emissions - 2009 Selected Natural Gas Plants Plant level, emission percentage § Significantly lower electricity prices than 6th Plan Forecast, due to lower demand, lower gas prices, deferred

419

A Comparison of Forecast Error Generators for Modeling Wind and Load Uncertainty  

SciTech Connect

This paper presents four algorithms to generate random forecast error time series, including a truncated-normal distribution model, a state-space based Markov model, a seasonal autoregressive moving average (ARMA) model, and a stochastic-optimization based model. The error time series are used to create real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast time series that statistically match historically observed forecasting data sets, used for variable generation integration studies. A comparison is made using historical DA load forecast and actual load values to generate new sets of DA forecasts with similar stoical forecast error characteristics. This paper discusses and compares the capabilities of each algorithm to preserve the characteristics of the historical forecast data sets.

Lu, Ning; Diao, Ruisheng; Hafen, Ryan P.; Samaan, Nader A.; Makarov, Yuri V.

2013-12-18T23:59:59.000Z

420

Convection-Allowing and Convection-Parameterizing Ensemble Forecasts of a Mesoscale Convective Vortex and Associated Severe Weather Environment  

Science Conference Proceedings (OSTI)

An analysis of a regional severe weather outbreak that was related to a mesoscale convective vortex (MCV) is performed. The MCV-spawning mesoscale convection system (MCS) formed in northwest Kansas along the southern periphery of a large cutoff ...

Adam J. Clark; William A. Gallus Jr.; Ming Xue; Fanyou Kong

2010-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

the entire forecast period, primarily because both weather-adjusted peak and electricity consumption were forecast. Keywords Electricity demand, electricity consumption, demand forecast, weather normalization, annual peak demand, natural gas demand, self-generation, conservation, California Solar Initiative. #12

422

Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

The authors introduce two ways to produce locally calibrated grid-based probabilistic forecasts of temperature. Both start from the Global Bayesian model averaging (Global BMA) statistical postprocessing method, which has constant predictive bias ...

William Kleiber; Adrian E. Raftery; Jeffrey Baars; Tilmann Gneiting; Clifford F. Mass; Eric Grimit

2011-08-01T23:59:59.000Z

423

Understanding the Influence of Climate Forecasts on Farmer Decisions as Planned Behavior  

Science Conference Proceedings (OSTI)

Results of a set of four regression models applied to recent survey data of farmers in eastern Nebraska suggest the causes that drive farmer intentions of using weather and climate information and forecasts in farming decisions. The model results ...

Ikrom Artikov; Stacey J. Hoffman; Gary D. Lynne; Lisa M. Pytlik Zillig; Qi Hu; Alan J. Tomkins; Kenneth G. Hubbard; Michael J. Hayes; William Waltman

2006-09-01T23:59:59.000Z

424

Flash Flood Forecasting for Small Urban Watersheds in the Baltimore Metropolitan Region  

Science Conference Proceedings (OSTI)

The utility of distributed hydrologic models in combination with high-resolution Weather Surveillance Radar-1988 Doppler (WSR-88D) rainfall estimates for flash flood forecasting in urban drainage basins is examined through model simulations of 10 ...

Julie Rose N. Javier; James A. Smith; Katherine L. Meierdiercks; Mary Lynn Baeck; Andrew J. Miller

2007-12-01T23:59:59.000Z

425

Spatial Variability and Interpolation of Stochastic Weather Simulation Model Parameters  

Science Conference Proceedings (OSTI)

The spatial variability of 58 precipitation and temperature parameters from the “generation of weather elements for multiple applications” (GEM) weather generator has been investigated over a region of significant complexity in topography and ...

Gregory L. Johnson; Christopher Daly; George H. Taylor; Clayton L. Hanson

2000-06-01T23:59:59.000Z

426

A Preliminary Look at the Social Perspective of Warn-on-Forecast: Preferred Tornado Warning Lead Time and the General Public’s Perceptions of Weather Risks  

Science Conference Proceedings (OSTI)

Tornado warnings are currently issued an average of 13 min in advance of a tornado and are based on a warn-on-detection paradigm. However, computer model improvements may allow for a new warning paradigm, warn-on-forecast, to be established in the ...

S. Hoekstra; K. Klockow; R. Riley; J. Brotzge; H. Brooks; S. Erickson

2011-04-01T23:59:59.000Z

427

Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms  

Science Conference Proceedings (OSTI)

Given the multi-scale variability and uncertainty of wind generation and forecast errors, it is a natural choice to use time-frequency representation (TFR) as a view of the corresponding time series represented over both time and frequency. Here we use wavelet transform (WT) to expand the signal in terms of wavelet functions which are localized in both time and frequency. Each WT component is more stationary and has consistent auto-correlation pattern. We combined wavelet analyses with time series forecast approaches such as ARIMA, and tested the approach at three different wind farms located far away from each other. The prediction capability is satisfactory -- the day-ahead prediction of errors match the original error values very well, including the patterns. The observations are well located within the predictive intervals. Integrating our wavelet-ARIMA (‘stochastic’) model with the weather forecast model (‘deterministic’) will improve our ability significantly to predict wind power generation and reduce predictive uncertainty.

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

2013-03-19T23:59:59.000Z

428

Forecaster Workstation Design: Concepts and Issues  

Science Conference Proceedings (OSTI)

Some basic ideas about designing a meteorological workstation for operational weather forecasting are presented, in part as a complement to the recently published discussion of workstation design by R. R. Hoffman. Scientific weather forecasting ...

Charles A. Doswell III

1992-06-01T23:59:59.000Z

429

Restaurant Industry Stock Price Forecasting Model Utilizing Artificial Neural Networks to Combine Fundamental and Technical Analysis.  

E-Print Network (OSTI)

??Stock price forecasting is a classic problem facing analysts. Forcasting models have been developed for predicting individual stocks and stock indices around the world and… (more)

Dravenstott, Ronald W.

2012-01-01T23:59:59.000Z

430

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

against the risk of energy price fluctuations. In theory,The poor track record of energy price forecasting models hasof information about future energy prices, including most

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

431

Model documentation report: Short-term Integrated Forecasting System demand model 1985. [(STIFS)  

DOE Green Energy (OSTI)

The Short-Term Integrated Forecasting System (STIFS) Demand Model consists of a set of energy demand and price models that are used to forecast monthly demand and prices of various energy products up to eight quarters in the future. The STIFS demand model is based on monthly data (unless otherwise noted), but the forecast is published on a quarterly basis. All of the forecasts are presented at the national level, and no regional detail is available. The model discussed in this report is the April 1985 version of the STIFS demand model. The relationships described by this model include: the specification of retail energy prices as a function of input prices, seasonal factors, and other significant variables; and the specification of energy demand by product as a function of price, a measure of economic activity, and other appropriate variables. The STIFS demand model is actually a collection of 18 individual models representing the demand for each type of fuel. The individual fuel models are listed below: motor gasoline; nonutility distillate fuel oil, (a) diesel, (b) nondiesel; nonutility residual fuel oil; jet fuel, kerosene-type and naphtha-type; liquefied petroleum gases; petrochemical feedstocks and ethane; kerosene; road oil and asphalt; still gas; petroleum coke; miscellaneous products; coking coal; electric utility coal; retail and general industry coal; electricity generation; nonutility natural gas; and utility petroleum. The demand estimates produced by these models are used in the STIFS integrating model to produce a full energy balance of energy supply, demand, and stock change. These forecasts are published quarterly in the Outlook. Details of the major changes in the forecasting methodology and an evaluation of previous forecast errors are presented once a year in Volume 2 of the Outlook, the Methodology publication.

Not Available

1985-07-01T23:59:59.000Z

432

Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Probabilistic forecasts of wind vectors are becoming critical as interest grows in wind as a clean and renewable source of energy, in addition to a wide range of other uses, from aviation to recreational boating. Unlike other common forecasting ...

J. McLean Sloughter; Tilmann Gneiting; Adrian E. Raftery

2013-06-01T23:59:59.000Z

433

Comparative Forecast Evaluation: Graphical Gaussian Models and Sufficiency Relations  

Science Conference Proceedings (OSTI)

This paper deals with the comparative evaluation of categorical forecasts supposing that forecasts and observations are continuous variables and have a jointly normal distribution. An information content approach based on the well-established ...

Ulrich Callies

2000-06-01T23:59:59.000Z

434

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network (OSTI)

in this report. #12;i ABSTRACT These electricity demand forms and instructions ask load-serving entities and Instructions for Electricity Demand Forecasts. California Energy Commission, Electricity Supply Analysis.................................................................................................................................7 Form 1 Historic and Forecast Electricity Demand

Abdel-Aal, Radwan E.

435

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

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

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

436

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

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

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

437

Changes to the 1995 NCEP Operational Medium-Range Forecast Model Analysis–Forecast System  

Science Conference Proceedings (OSTI)

Recent changes in the operational National Centers for Environmental Prediction (formerly the National Meteorological Center) global analysis–forecast system are described. The most significant analysis change was the direct use of satellite-...

Peter Caplan; John Derber; William Gemmill; Song-You Hong; Hua-Lu Pan; David Parrish

1997-09-01T23:59:59.000Z

438

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

Science Conference Proceedings (OSTI)

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

439

A Model for Probability Nowcasts of Accumulated Precipitation Using Radar  

Science Conference Proceedings (OSTI)

A new model for making probability forecasts of accumulated spot precipitation from weather radar data is presented. The model selects a source region upwind of the forecast spot. All pixels (horizontal size 2 × 2 km2) within the source region ...

Tage Andersson; Karl-Ivar Ivarsson

1991-01-01T23:59:59.000Z

440

IdentifyingWeather Systems from NumericalWeather Prediction Data  

Science Conference Proceedings (OSTI)

Weather systems such as tropical cyclones, fronts, troughs and ridges affect our daily lives. Yet, they are often manually located and drawn on weather charts based on forecasters' experience. To identify them, multiple atmospheric elements need to be ...

WONG Ka Yan; YIP Chi Lap; LI Ping Wah

2006-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

A comparison of cloud microphysical quantities with forecasts from cloud prediction models  

SciTech Connect

Numerical weather prediction models (ECMWF, NCEP) are evaluated using ARM observational data collected at the Southern Great Plains (SGP) site. Cloud forecasts generated by the models are compared with cloud microphysical quantities, retrieved using a variety of parameterizations. Information gained from this comparison will be utilized during the FASTER project, as models are evaluated for their ability to reproduce fast physical processes detected in the observations. Here the model performance is quantified against the observations through a statistical analysis. Observations from remote sensing instruments (radar, lidar, radiometer and radiosonde) are used to derive the cloud microphysical quantities: ice water content, liquid water content, ice effective radius and liquid effective radius. Unfortunately, discrepancies in the derived quantities arise when different retrieval schemes are applied to the observations. The uncertainty inherent in retrieving the microphysical quantities using various retrievals is estimated from the range of output microphysical values. ARM microphysical retrieval schemes (Microbase, Mace) are examined along with the CloudNet retrieval processing of data from the ARM sites for this purpose. Through the interfacing of CloudNet and “ARM” processing schemes an ARMNET product is produced and employed as accepted observations in the assessment of cloud model predictions.

Dunn, M.; Jensen, M.; Hogan, R.; O’Connor, E.; Huang, D.

2010-03-15T23:59:59.000Z

442

Performance evaluation of competing forecasting models: A multidimensional framework based on MCDA  

Science Conference Proceedings (OSTI)

So far, competing forecasting models are compared to each other using a single criterion at a time, which often leads to different rankings for different criteria - a situation where one cannot make an informed decision as to which model performs best ... Keywords: Crude oil prices, Forecasting models, Multi-Criteria Decision Analysis, Performance evaluation

Bing Xu; Jamal Ouenniche

2012-07-01T23:59:59.000Z

443

Comparative analysis of models integrating synoptic forecast data into potato late blight risk estimate systems  

Science Conference Proceedings (OSTI)

Determinacy analysis, logistic regression, discriminant analysis and neural network models were compared for their accuracy in 5-day (120h) forecasts of daily potato late blight risk according to a modified-Wallin disease severity model. For 12 locations ... Keywords: Expert systems, Forecasting, Neural network models, Risk mitigation

Kathleen M. Baker; William W. Kirk

2007-05-01T23:59:59.000Z

444

A Hybrid ARCH-M and BP Neural Network Model For GSCI Futures Price Forecasting  

Science Conference Proceedings (OSTI)

As a versatile investment tool in energy markets for speculators and hedgers, the Goldman Sachs Commodity Index (GSCI) futures are quite well known. Therefore, this paper proposes a hybrid model incorporating ARCH family models and ANN model to forecast ... Keywords: ANN, ARCH-M, Commodity Index, Forecasting, GSCI

Wen Bo; Wang Shouyang; K. K. Lai

2007-05-01T23:59:59.000Z

445

Field-Object Design of a Numerical Weather Prediction Model for Uni- and Multiprocessors  

Science Conference Proceedings (OSTI)

The performance of a numerical weather model constructed from scalar, vector, and tensor field objects is evaluated on several workstation computers and on a message-passing multiprocessor.

D. K. Purnell; M. J. Revell; P. N. McGavin

1995-02-01T23:59:59.000Z

446

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)

) Controlling model error of underdamped forecast models in sparse observational networks using a variance@maths.usyd.edu.au The problem of controlling covariance overestimation due to underdamped forecast models and sparsity the initial conditions and forecast model and to combat the associated forecast error and flow

Gottwald, Georg A.

447

A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export  

Science Conference Proceedings (OSTI)

This study compares the application of two forecasting methods on the amount of Taiwan export, the ARIMA time series method and the fuzzy time series method. Models discussed for the fuzzy time series method include the Factor models, the Heuristic models, ... Keywords: ARIMA model, Fuzzy time series, Taiwan export

Chi-Chen Wang

2011-08-01T23:59:59.000Z

448

Future world oil prices: modeling methodologies and summary of recent forecasts  

SciTech Connect

This paper has three main objectives. First, the various methodologies that have been developed to explain historical oil price changes and forecast future price trends are reviewed and summarized. Second, the paper summarizes recent world oil price forecasts, and, then possible, discusses the methodologies used in formulating those forecasts. Third, utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, oil price projections are given for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, at this point in time a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 69 references, 3 figures, 10 tables.

Curlee, T.R.

1985-04-01T23:59:59.000Z

449

Forecasting world oil prices: the evolution of modeling methodologies and summary of recent projections  

SciTech Connect

This paper has three main objectives: (1) to review and summarize the varios methodologies that have been developed to explain historical oil price changes and forecast future price trends, (2) to summarize recent world oil price forecasts, and, when possible, discuss the methodologies used in formulating those forecasts, and (3) utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, to give oil price projections for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 68 references, 1 figure, 6 tables.

Curlee, T.R.

1985-01-01T23:59:59.000Z

450

The Accuracy of Solar Irradiance Calculations Used in Mesoscale Numerical Weather Prediction  

Science Conference Proceedings (OSTI)

In this paper, solar irradiance forecasts made by mesoscale numerical weather prediction models are compared with observations taken during three air-quality experiments in various parts of the United States. The authors evaluated the fifth-...

Robert J. Zamora; Ellsworth G. Dutton; Michael Trainer; Stuart A. McKeen; James M. Wilczak; Yu-Tai Hou

2005-04-01T23:59:59.000Z

451

On the Prediction of Forecast Skill  

Science Conference Proceedings (OSTI)

Using 10-day forecast 500 mb height data from the last 7 yr, the potential to predict the skill of numerical weather forecasts is discussed. Four possible predictor sets are described. The first, giving the consistency between adjacent forecasts, ...

T. N. Palmer; S. Tibaldi

1988-12-01T23:59:59.000Z

452

Improving Forecast Communication: Linguistic and Cultural Considerations  

Science Conference Proceedings (OSTI)

One goal of weather and climate forecasting is to inform decision making. Effective communication of forecasts to various sectors of the public is essential for meeting that goal, yet studies repeatedly show that forecasts are not well understood ...

Karen Pennesi

2007-07-01T23:59:59.000Z

453

Operational Forecaster Uncertainty Needs and Future Roles  

Science Conference Proceedings (OSTI)

Key results of a comprehensive survey of U.S. National Weather Service operational forecast managers concerning the assessment and communication of forecast uncertainty are presented and discussed. The survey results revealed that forecasters are ...

David R. Novak; David R. Bright; Michael J. Brennan

2008-12-01T23:59:59.000Z

454

Calibration of Probabilistic Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

From 1 August 1990 to 31 July 1995, the Weather Service Forecast Office in Pittsburgh prepared 6159 probabilistic quantitative precipitation forecasts. Forecasts were made twice a day for 24-h periods beginning at 0000 and 1200 UTC for two river ...

Roman Krzysztofowicz; Ashley A. Sigrest

1999-06-01T23:59:59.000Z

455

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

E-Print Network (OSTI)

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

Surussavadee, Chinnawat

2007-01-01T23:59:59.000Z

456

Short-Range Ensemble Forecasts of Precipitation Type  

Science Conference Proceedings (OSTI)

Short-range ensemble forecasting is extended to a critical winter weather problem: forecasting precipitation type. Forecast soundings from the operational NCEP Short-Range Ensemble Forecast system are combined with five precipitation-type ...

Matthew S. Wandishin; Michael E. Baldwin; Steven L. Mullen; John V. Cortinas Jr.

2005-08-01T23:59:59.000Z

457

Does "model-free" forecasting really outperform the "true" model? A reply to Perretti et al  

E-Print Network (OSTI)

Estimating population models from uncertain observations is an important problem in ecology. Perretti et al. observed that standard Bayesian state-space solutions to this problem may provide biased parameter estimates when the underlying dynamics are chaotic. Consequently, forecasts based on these estimates showed poor predictive accuracy compared to simple "model-free" methods, which lead Perretti et al. to conclude that "Model-free forecasting outperforms the correct mechanistic model for simulated and experimental data". However, a simple modification of the statistical methods also suffices to remove the bias and reverse their results.

Florian Hartig; Carsten F. Dormann

2013-05-15T23:59:59.000Z

458

Evaluation of Operational Model Cyclone Structure Forecasts during Extratropical Transition  

Science Conference Proceedings (OSTI)

Cyclone structure is known to be directly linked to the sensible weather effects produced by the weather system. The extratropical transition (ET) process leads to immense changes in cyclone structure and therefore to changes in the associated ...

Jenni L. Evans; Justin M. Arnott; Francesca Chiaromonte

2006-11-01T23:59:59.000Z

459

Short-term load forecasting using lifting scheme and ARIMA models  

Science Conference Proceedings (OSTI)

Short-term load forecasting is achieved using a lifting scheme and autoregressive integrated moving average (ARIMA) models. The lifting scheme is a general and flexible approach for constructing bi-orthogonal wavelets that are usually in the spatial ... Keywords: Autoregressive integrated moving average model, Back propagation network, Lifting scheme, Multi-revolution analysis, Short-term load forecasting, Wavelet transform

Cheng-Ming Lee; Chia-Nan Ko

2011-05-01T23:59:59.000Z

460

Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review  

Science Conference Proceedings (OSTI)

Artificial Intelligence (AI) has been used and applied in different sectors, such as engineering, economic, medicine, military, marine, etc. AI has also been applied for modelling, identification, optimisation, prediction, forecasting, and control ... Keywords: AI, FPGA, GAs, VHDL, artificial intelligence, fuzzy logic, genetic algorithms, hybrid systems, neural networks, photovoltaic systems, solar radiation forecasting, solar radiation modelling, solar radiation prediction

Adel Mellit

2008-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Numerical Extended-Range Prediction: Forecast Skill Using a Low-Resolution Climate Model  

Science Conference Proceedings (OSTI)

A pilot study that evaluates the potential forecast skill of winter 10–30-day time-mean flow from a low-resolution (R15) climate simulation model is presented. The hypothesis tested is that low-resolution climate model forecasts might be as ...

David P. Baumhefner

1996-09-01T23:59:59.000Z

462

A Computational Web Portal for the Distributed Marine Environment Forecast System  

Science Conference Proceedings (OSTI)

This paper describes a prototype computational Web Portal for the Distributed Marine Environment Forecast System (DMEFS). DMEFS is a research framework to develop and operate validated Climate-Weather-Ocean models. The DMEFS portal is implemented as ...

Tomasz Haupt; Purushotham Bangalore; Gregory Henley

2001-06-01T23:59:59.000Z

463

Extended-Range Probabilistic Forecasts of Ganges and Brahmaputra Floods in Bangladesh  

Science Conference Proceedings (OSTI)

The authors have developed a new extended-range flood forecasting system for large river basins that uses satellite data and statistically rendered probabilistic weather and climate predictions to initialize basin-scale hydrological models. The ...

Peter J. Webster; Jun Jian; Thomas M. Hopson; Carlos D. Hoyos; Paula A. Agudelo; Hai-Ru Chang; Judith A. Curry; Robert L. Grossman; Timothy N. Palmer; A. R. Subbiah

2010-11-01T23:59:59.000Z

464

Seasonal Forecasting in the Pacific Using the Coupled Model POAMA-2  

Science Conference Proceedings (OSTI)

The development of a dynamical model seasonal prediction service for island nations in the tropical South Pacific is described. The forecast model is the Australian Bureau of Meteorology's Predictive Ocean–Atmosphere Model for Australia (POAMA), a ...

Andrew Cottrill; Harry H. Hendon; Eun-Pa Lim; Sally Langford; Kay Shelton; Andrew Charles; David McClymont; David Jones; Yuriy Kuleshov

2013-06-01T23:59:59.000Z

465

Evaluation of Forecasted Southeast Pacific Stratocumulus in the NCAR, GFDL, and ECMWF Models  

Science Conference Proceedings (OSTI)

Forecasts of southeast Pacific stratocumulus at 20°S and 85°W during the East Pacific Investigation of Climate (EPIC) cruise of October 2001 are examined with the ECMWF model, the Atmospheric Model (AM) from GFDL, the Community Atmosphere Model (...

Cécile Hannay; David L. Williamson; James J. Hack; Jeffrey T. Kiehl; Jerry G. Olson; Stephen A. Klein; Christopher S. Bretherton; Martin Köhler

2009-06-01T23:59:59.000Z

466

An Evaluation of Tropical Cyclone Genesis Forecasts from Global Numerical Models  

Science Conference Proceedings (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

467

The Sensitivity of Numerical Forecasts to Convective Parameterization: A Case Study of the 17 February 2004 East Coast Cyclone  

Science Conference Proceedings (OSTI)

The sensitivity of numerical model forecasts of coastal cyclogenesis and frontogenesis to the choice of model cumulus parameterization (CP) scheme is examined for the 17 February 2004 southeastern U.S. winter weather event. This event featured a ...

Kelly M. Mahoney; Gary M. Lackmann

2006-08-01T23:59:59.000Z

468

Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization  

Science Conference Proceedings (OSTI)

A new bulk microphysical parameterization (BMP) has been developed for use with the Weather Research and Forecasting (WRF) Model or other mesoscale models. As compared with earlier single-moment BMPs, the new scheme incorporates a large number of ...

Gregory Thompson; Paul R. Field; Roy M. Rasmussen; William D. Hall

2008-12-01T23:59:59.000Z

469

Regional load curve models: specification and estimation of the DRI Model. Final report. [Forecasts of electric loads in 32 US regions  

SciTech Connect

The DRI Model of hourly load curves is developed in this report. The model is capable of producing long-term forecasts for 32 US regions. These regions were created by aggregating hourly system load data from 146 electric utilities. These utilities supply approximately 95% of all electricity consumed in the continental US. The model forecasts electricity demands for each hour of the year for each of the 32 regions. Model output includes forecasts of peak demands, megawatt hour demands, load factors, and load duration curves. The DRI Model is estimated in two stages. In the first stage, for each region and month, hourly electricity demands are parameterized into load components representing the effects of lifestyles and weather on regional loads through a time-series model. In the second stage, the variation in these parameterized load components across months and regions is modeled econometrically in terms of energy prices, income levels, appliance saturation rates, and other variables. The second-stage models are essentially models of electricity demand which are estimated using estimated first-stage parameters as dependent variables, instead of observed demands. Regional price and income demand elasticities are implied by the second-stage models. Moreover, since the dependent variables refer to particular hours of the day, these estimated elasticities are hour-specific. (Since prices did not vary over the day in years when hourly load data were available, hour-to-hour, cross-price elasticities were not estimated.) Integrated system hourly load forecasts are obtained combining the influences of individual customer classes. Finally, approximate customer class hourly load shapes can be produced for each region, though these series may be useful only in research endeavors since they lack the precision available through survey methods.

Platt, H.D.; Einhorn, M.A.; Ignelzi, P.C.; Poirier, D.J.

1981-01-01T23:59:59.000Z

470

A Comparison of Forecast Error Generators for Modeling Wind and Load Uncertainty  

Science Conference Proceedings (OSTI)

This paper presents four algorithms to generate random forecast error time series. The performance of four algorithms is compared. The error time series are used to create real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast time series that statistically match historically observed forecasting data sets used in power grid operation to study the net load balancing need in variable generation integration studies. The four algorithms are truncated-normal distribution models, state-space based Markov models, seasonal autoregressive moving average (ARMA) models, and a stochastic-optimization based approach. The comparison is made using historical DA load forecast and actual load values to generate new sets of DA forecasts with similar stoical forecast error characteristics (i.e., mean, standard deviation, autocorrelation, and cross-correlation). The results show that all methods generate satisfactory results. One method may preserve one or two required statistical characteristics better the other methods, but may not preserve other statistical characteristics as well compared with the other methods. Because the wind and load forecast error generators are used in wind integration studies to produce wind and load forecasts time series for stochastic planning processes, it is sometimes critical to use multiple methods to generate the error time series to obtain a statistically robust result. Therefore, this paper discusses and compares the capabilities of each algorithm to preserve the characteristics of the historical forecast data sets.

Lu, Ning; Diao, Ruisheng; Hafen, Ryan P.; Samaan, Nader A.; Makarov, Yuri V.

2013-07-25T23:59:59.000Z

471

An Analysis of the Accuracy of 120-h Predictions by the National Meteorological Center's Medium-Range Forecast Model  

Science Conference Proceedings (OSTI)

An assessment was made of the 120-h predictions by the medium range forecast (MRF) run of the National Meteorological Center's (NMC's) global spectral model. The ability of the model to forecast surface cyclones and anticyclones was evaluated and ...

Mary A. Bedrick; Anthony J. Cristaldi III; Stephen J. Colucci; Daniel S. Wilks

1994-03-01T23:59:59.000Z

472

The Indo-U.S. Workshop on Weather and Climate Modeling  

Science Conference Proceedings (OSTI)

A workshop on Weather and Climate Modelling, held in New Delhi (7–9 February 2002), India, under the aegis of the Indo–U.S. Science and Technology Forum brought together scientists involved in weather and climate modeling from both India and the ...

S. V. Singh; S. Basu

2003-01-01T23:59:59.000Z

473

Further Results on Forecasting and Model Selection Under Asymmetric Loss  

E-Print Network (OSTI)

: We make three related contributions. First, we propose a new technique for solving prediction problems under asymmetric loss using piecewise-linear approximations to the loss function, and we establish existence and uniqueness of the optimal predictor. Second, we provide a detailed application to optimal prediction of a conditionally heteroskedastic process under asymmetric loss, the insights gained from which are broadly applicable. Finally, we incorporate our results into a general framework for recursive prediction-based model selection under the relevant loss function. Acknowledgements: Helpful discussion was provided by Adolf Buse, Hashem Pesaran, Dale Poirrier, Enrique Sentana, Jim Stock, Ken Wallis, participants at meetings of the Econometric Society World Congress, the NBER/NSF Forecasting Seminar, the UCSD Conference on Multivariate Financial Econometrics, and numerous university seminars. All remaining inadequacies are ours alone. We thank the National Science Foundation, t...

Peter F. Christoffersen; Francis X. Diebold

1996-01-01T23:59:59.000Z

474

Predictability of Extratropical Cyclones: The Influence of Initial Condition and Model Uncertainties  

Science Conference Proceedings (OSTI)

Errors in numerical weather forecasts can be attributed to two causes: deficiencies in the modeling system and inaccurate initial conditions. Understanding of the characteristics of the growth of forecast spread related to model uncertainty is ...

Hongyan Zhu; Alan Thorpe

2006-05-01T23:59:59.000Z

475

Prediction of convective morphology in near-cloud permitting WRF model simulations  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) model’s ability to forecast convective morphological evolution is examined for 37 convective systems. The simulations used Thompson microphysics with 3-km horizontal grid spacing. Ten convective mode ...

Darren V. Snively; William A. Gallus; Jr.

476

Variational Wave Data Assimilation in a Third-Generation Wave Model  

Science Conference Proceedings (OSTI)

The adjoint of the wave model WAM, which runs operationally performing global wave forecast at the European Centre for Medium-Range Weather Forecasts, has been constructed. In this model, the nonlinear interactions are described by the discrete ...

Miriam M. De Las Heras; Gerrit Burgers; Peter A. E. M. Janssen

1994-10-01T23:59:59.000Z

477

A Multigrid Wave Forecasting Model: A New Paradigm in Operational Wave Forecasting  

Science Conference Proceedings (OSTI)

A new operational wave forecasting system has been implemented at the National Centers for Environmental Prediction (NCEP) using the third public release of WAVEWATCH III. The new system uses a mosaic of grids with two-way nesting in a single ...

Arun Chawla; Hendrik L. Tolman; Vera Gerald; Deanna Spindler; Todd Spindler; Jose-Henrique G. M. Alves; Degui Cao; Jeffrey L. Hanson; Eve-Marie Devaliere

2013-08-01T23:59:59.000Z

478

A Real-Time Eulerian Photochemical Model Forecast System: Overview and Initial Ozone Forecast Performance in the Northeast U.S. Corridor  

Science Conference Proceedings (OSTI)

This article reports on the first implementation of a real-time Eulerian photochemical model forecast system in the United States. The forecast system consists of a tripartite set of one-way coupled models that run routinely on a parallel ...

John N. McHenry; William F. Ryan; Nelson L. Seaman; Carlie J. Coats Jr; Janusz Pudykiewicz; Sarav Arunachalam; Jeffery M. Vukovich

2004-04-01T23:59:59.000Z

479

The Skill of ECMWF Medium-Range Forecasts during the Year of Tropical Convection 2008  

Science Conference Proceedings (OSTI)

This study uses the European Centre for Medium-Range Weather Forecasts (ECMWF) model-generated high-resolution 10-day-long predictions for the Year of Tropical Convection (YOTC) 2008. Precipitation forecast skills of the model over the tropics ...

Arindam Chakraborty

2010-10-01T23:59:59.000Z

480

Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models  

E-Print Network (OSTI)

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. In particular we calibrate AR/ARX (”X” stands for exogenous/fundamental variable — system load in our study), AR/ARX-GARCH, TAR/TARX and Markov regime-switching models to California Power Exchange (CalPX) system spot prices. We then use them for out-ofsample point and interval forecasting in normal and extremely volatile periods preceding the market crash in winter 2000/2001. We find evidence that (i) non-linear, threshold regime-switching (TAR/TARX) models outperform their linear counterparts, both in point and interval forecasting, and that (ii) an additional GARCH component generally decreases point forecasting efficiency. Interestingly, the former result challenges a number of previously published studies on the failure of non-linear regime-switching models in forecasting.

Adam Misiorek; Stefan Trueck; Rafal Weron

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "weather forecast model" 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

Weather-clustering based strategy design for dynamic demand response building HVAC control  

Science Conference Proceedings (OSTI)

Energy consumption and room temperature can be simulated using EnergyPlus model, given the building model, weather information, and HVAC control strategy. For a given weather forecast, however, online simulation-based optimization of the HVAC control ... Keywords: EnergyPlus, building HVAC control strategy, clustering, dynamic demand response

Rui Liao; Geng Li; Shun Miao; Yan Lu; Jianmin Zhu; Ling Shen

2012-11-01T23:59:59.000Z

482

On Modeling and Forecasting Time Series of Smooth Curves  

E-Print Network (OSTI)

/fertility rate curves (Hyndman and Ullah, 2007; Erbas et al., 2007). Other examples include electricity system the rates are unobservable; hence one needs to forecast future rate profiles based on historical call of telephone customer service centers, where forecasts of daily call arrival rate profiles are needed

Shen, Haipeng

483

A variable spread fuzzy linear regression model with higher explanatory power and forecasting accuracy  

Science Conference Proceedings (OSTI)

Fuzzy regression models have been applied to operational research (OR) applications such as forecasting. Some of previous studies on fuzzy regression analysis obtain crisp regression coefficients for eliminating the problem of increasing spreads for ... Keywords: Forecasting, Fuzzy inference, Fuzzy sets, Linear regression, Mathematical programming

Shih-Pin Chen; Jr-Fong Dang

2008-10-01T23:59:59.000Z

484

The complex fuzzy system forecasting model based on triangular fuzzy robust wavelet ?-support vector machine  

Science Conference Proceedings (OSTI)

This paper presents a new version of fuzzy wavelet support vector regression machine to forecast the nonlinear fuzzy system with multi-dimensional input variables. The input and output variables of the proposed model are described as triangular fuzzy ... Keywords: Fuzzy ?-support vector machine, Fuzzy system forecasting, Particle swarm optimization, Wavelet kernel function

Qi Wu

2011-11-01T23:59:59.000Z

485

Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models  

Science Conference Proceedings (OSTI)

Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem are single lineal regressions and autoregressive models (ARIMA). Notwithstanding, ... Keywords: Aerobiology, Airborne pollen, Forecasting, Neuro-fuzzy, Time series

José Luis Aznarte M.; José Manuel Benítez Sánchez; Diego Nieto Lugilde; Concepción de Linares Fernández; Consuelo Díaz de la Guardia; Francisca Alba Sánchez

2007-05-01T23:59:59.000Z

486

Visual data fusion for applications of high-resolution numerical weather prediction  

Science Conference Proceedings (OSTI)

Keywords: data fusion, demographics, energy demand prediction, graphics design, meteorology, user tasks, visualization, weather forecasting

Lloyd A. Treinish

2000-10-01T23:59:59.000Z

487

Evaluating Single Column Models using an ensemble approach  

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

sites at Manus and Nauru. The SCMs of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Bureau of Meteorology (BOM) forecasts model are being evaluated...

488

The LAMP QPF Products. Part I: Model Development  

Science Conference Proceedings (OSTI)

The Local AWIPS (Advanced Weather Interactive Processing System) MOS (model output statistics) Program (LAMP) quantitative precipitation forecast (QPF) system produces 1–22-h forecasts of precipitation over the conterminous United States. The ...

Jerome P. Charba

1998-12-01T23:59:59.000Z

489

Prediction of Landfalling Hurricanes with the Advanced Hurricane WRF Model  

Science Conference Proceedings (OSTI)

Real-time forecasts of five landfalling Atlantic hurricanes during 2005 using the Advanced Research Weather Research and Forecasting (WRF) (ARW) Model at grid spacings of 12 and 4 km revealed performance generally competitive with, and ...

Christopher Davis; Wei Wang; Shuyi S. Chen; Yongsheng Chen; Kristen Corbosiero; Mark DeMaria; Jimy Dudhia; Greg Holland; Joe Klemp; John Michalakes; Heather Reeves; Richard Rotunno; Chris Snyder; Qingnong Xiao

2008-06-01T23:59:59.000Z

490

Quantitative Precipitation Forecasting for the Tennessee and Cumberland River Watersheds Using the NCEP Regional Spectral Model  

Science Conference Proceedings (OSTI)

A limited-area spectral model—the Regional Spectral Model—developed at the National Centers for Environmental Prediction is used to prepare daily quantitative precipitation forecasts out to 48 h for the Tennessee and Cumberland River basins in ...

Qi Mao; Stephen F. Mueller; Hann-Ming Henry Juang

2000-02-01T23:59:59.000Z

491

Can a Regional Climate Model Improve the Ability to Forecast the North American Monsoon?  

Science Conference Proceedings (OSTI)

Global climate models are challenged to represent the North American monsoon, in terms of its climatology and interannual variability. To investigate whether a regional atmospheric model can improve warm season forecasts in North America, a ...

Christopher L. Castro; Hsin-I Chang; Francina Dominguez; Carlos Carrillo; Jae-Kyung Schemm; Hann-Ming Henry Juang

2012-12-01T23:59:59.000Z

492

Properties of the Convection Scheme in NCEP's Eta Model that Affect Forecast Sounding Interpretation  

Science Conference Proceedings (OSTI)

The impact of parameterized convection on Eta Model forecast soundings is examined. The Betts–Miller–Janji? parameterization used in the National Centers for Environmental Prediction Eta Model introduces characteristic profiles of temperature and ...

Michael E. Baldwin; John S. Kain; Michael P. Kay

2002-10-01T23:59:59.000Z

493

A Real-Time Hurricane Surface Wind Forecasting Model: Formulation and Verification  

Science Conference Proceedings (OSTI)

A real-time hurricane wind forecast model is developed by 1) incorporating an asymmetric effect into the Holland hurricane wind model; 2) using the National Oceanic and Atmospheric Administration (NOAA)/National Hurricane Center’s (NHC) hurricane ...

Lian Xie; Shaowu Bao; Leonard J. Pietrafesa; Kristen Foley; Montserrat Fuentes

2006-05-01T23:59:59.000Z

494

An Examination of Model Track Forecast Errors for Hurricane Ike (2008) in the Gulf of Mexico  

Science Conference Proceedings (OSTI)

Sources of dynamical model track error for Hurricane Ike (2008) in the Gulf of Mexico are examined. Deterministic and ensemble model output are compared against National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) ...

Michael J. Brennan; Sharanya J. Majumdar

2011-12-01T23:59:59.000Z

495

Field Significance Revisited: Spatial Bias Errors in Forecasts as Applied to the Eta Model  

Science Conference Proceedings (OSTI)

The spatial structure of bias errors in numerical model output is valuable to both model developers and operational forecasters, especially if the field containing the structure itself has statistical significance in the face of naturally ...

Kimberly L. Elmore; Michael E. Baldwin; David M. Schultz

2006-02-01T23:59:59.000Z

496

Evaluation of Snow Albedo in Land Models for Weather and Climate Studies  

Science Conference Proceedings (OSTI)

Snow albedo plays an important role in land models for weather, climate, and hydrometeorological studies, but its treatment in various land models still contains significant deficiencies. Complementary to previous studies that evaluated the snow ...

Zhuo Wang; Xubin Zeng

2010-03-01T23:59:59.000Z

497

How Can We Advance Our Weather and Climate Models as a Community?  

Science Conference Proceedings (OSTI)

A common modeling infrastructure ad hoc working group evolved from an NSF/NCEP workshop in 1998, in recognition of the need for the climate and weather modeling communities to develop a more organized approach to building the software that ...

Robert E. Dickinson; Stephen E. Zebiak; Jeffrey L. Anderson; Maurice L. Blackmon; Cecelia De Luca; Timothy F. Hogan; Mark Iredell; Ming Ji; Ricky B. Rood; Max J. Suarez; Karl E. Taylor

2002-03-01T23:59:59.000Z

498

QNH: Design and Test of a Quasi-Nonhydrostatic Model for Mesoscale Weather Prediction  

Science Conference Proceedings (OSTI)

A new mesoscale weather prediction model, called QNH, is described. It is characterized by a parameter that multiplies the hydrostatic terms in the vertical equation of motion. Models of this type are referred to generically as “quasi-...

A. E. MacDonald; J. L. Lee; S. Sun

2000-04-01T23:59:59.000Z

499

NOMADS: A Climate and Weather Model Archive at the National Oceanic and Atmospheric Administration  

Science Conference Proceedings (OSTI)

An online archive of real-time and historical weather and climate model output and observationaldata is now available from the National Oceanic and Atmospheric Administration (NOAA). This archive, known asthe NOAA National Operational Model ...

Glenn K. Rutledge; Jordan Alpert; Wesley Ebisuzaki

2006-03-01T23:59:59.000Z

500

A Vertically Nested Regional Numerical Weather Prediction Model with Second-Order Closure Physics  

Science Conference Proceedings (OSTI)

The model we describe involves a unique strategy in which a high vertical resolution grid is nested within the coarse vertical resolution grid of a regional numerical weather prediction (NWP) model. Physics computations performed on the high ...

Stephen D. Burk; William T. Thompson

1989-11-01T23:59:59.000Z