Modeling and Data Assimilation
| This regional data assimilation and forecast system provides high-frequency (every 1 hour) 3-D analyses over the contiguous United States and short-range forecasts (out to 12 hours) in support of aviation and other mesoscale forecast users. The Rapid Refresh is the next-generation version of the RUC, to use a version of the WRF (Weather Research and Forecast) model and the GSI (Gridpoint Statistical Interpolation) assimilation system. | |
| This system integrates data from virtually every meteorological observation system into a very high-resolution gridded framework centered on a forecast office's domain of responsibility. | |
| This surface data assimilation system produces hourly analyses of meteorological conditions at the earth's surface. MSAS also runs operationally at the National Centers for Environmental Prediction (NCEP), and in NWS forecast offices as part of the AWIPS system. | |
Weather Research & Forecast Model (WRF) (external Web site) |
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| The Weather Research and Forecast Model is a collaborative partnership to develop an advanced mesoscale forecast and assimilation system, and accelerate research advances into operational forecasting. | |
WRF Developmental Testbed Center (external Web site) |
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| The Developmental Testbed Center (DTC) is a facility where the NWP (Numerical Weather Prediction) research and operational communities interact to accelerate testing and evaluation of new models and techniques for research applications and operational implementation, without interfering with current operations. | |
| The two primary objectives of the MAPP project are: (1) to port primary scientific codes to NOAA's three HPC systems, and (2) to develop a web-based portal to permit users to configure and run the codes on these systems. | |
| WRF Portal is a Java webstart GUI application that simplifies the configuring and running of WRF models, and it includes the WRFSI GUI (Domain) Tool that allows you to graphically select/define your domain. | |
A targeted program for improved surface temperature forecasts over New England for the energy sector via:
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