HIGH-RESOLUTION ATMOSPHERIC ENSEMBLE MODELING AT SRNL

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The High-Resolution Mid-Atlantic Forecasting Ensemble (HME) is a federated effort to improve operational forecasts related to precipitation, convection and boundary layer evolution, and fire weather utilizing data and computing resources from a diverse group of cooperating institutions in order to create a mesoscale ensemble from independent members. Collaborating organizations involved in the project include universities, National Weather Service offices, and national laboratories, including the Savannah River National Laboratory (SRNL). The ensemble system is produced from an overlapping numerical weather prediction model domain and parameter subsets provided by each contributing member. The coordination, synthesis, and dissemination of the ensemble information are ... continued below

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Buckley, R.; Werth, D.; Chiswell, S. & Etherton, B. May 10, 2011.

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The High-Resolution Mid-Atlantic Forecasting Ensemble (HME) is a federated effort to improve operational forecasts related to precipitation, convection and boundary layer evolution, and fire weather utilizing data and computing resources from a diverse group of cooperating institutions in order to create a mesoscale ensemble from independent members. Collaborating organizations involved in the project include universities, National Weather Service offices, and national laboratories, including the Savannah River National Laboratory (SRNL). The ensemble system is produced from an overlapping numerical weather prediction model domain and parameter subsets provided by each contributing member. The coordination, synthesis, and dissemination of the ensemble information are performed by the Renaissance Computing Institute (RENCI) at the University of North Carolina-Chapel Hill. This paper discusses background related to the HME effort, SRNL participation, and example results available from the RENCI website.

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  • 3rd International Joint Topical Meeting on Emergency Preparedness and Response and Robotics and Remote Systems

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  • Report No.: SRNL-STI-2010-00777
  • Grant Number: DE-AC09-08SR22470
  • Office of Scientific & Technical Information Report Number: 1014375
  • Archival Resource Key: ark:/67531/metadc839497

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  • May 10, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Dec. 12, 2016, 6:33 p.m.

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Buckley, R.; Werth, D.; Chiswell, S. & Etherton, B. HIGH-RESOLUTION ATMOSPHERIC ENSEMBLE MODELING AT SRNL, article, May 10, 2011; United States. (digital.library.unt.edu/ark:/67531/metadc839497/: accessed December 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.