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A Vertically Flow-Following, Icosahedral Grid Model for Medium-Range and Seasonal Prediction. Part 1: Model DescriptionA hydrostatic global weather prediction model based on an icosahedral horizontal grid and a hybrid terrain following/ isentropic vertical coordinate is described. The model is an extension to three spatial dimensions of a previously developed, icosahedral, shallow-water model featuring user-selectable horizontal resolution and employing indirect addressing techniques. The vertical grid is adaptive to maximize the portion of the atmosphere mapped into the isentropic coordinate subdomain. The model, best described as a stacked shallow-water model, is being tested extensively on real-time medium-range forecasts to ready it for possible inclusion in operational multimodel ensembles for medium-range to seasonal prediction.
Document ID
20160004694
Document Type
Reprint (Version printed in journal)
Authors
Bleck, Rainer (Columbia Univ. New York, NY, United States)
Bao, Jian-Wen (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Benjamin, Stanley G. (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Brown, John M. (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Fiorino, Michael (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Henderson, Thomas B. (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Lee, Jin-Luen (National Oceanic and Atmospheric Administration Boulder, CO, United States)
MacDonald, Alexander E. (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Madden, Paul (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Middlecoff, Jacques (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Rosinski, James (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Smirnova, Tanya G. (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Sun, Shan (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Wang, Ning (National Oceanic and Atmospheric Administration Boulder, CO, United States)
Date Acquired
April 6, 2016
Publication Date
May 28, 2015
Publication Information
Publication: Monthly Weather Review
Volume: 143
Subject Category
Meteorology and Climatology
Report/Patent Number
GSFC-E-DAA-TN23390
Funding Number(s)
CONTRACT_GRANT: NNX14AB99A
Distribution Limits
Public
Copyright
Other
Keywords
mathematical models
forecasting
hydrostatics