A Vertically Flow-Following Icosahedral Grid Model for Medium-Range and Seasonal Prediction. Part I: Model Description

Author:

Bleck Rainer1,Bao Jian-Wen1,Benjamin Stanley G.1,Brown John M.1,Fiorino Michael1,Henderson Thomas B.1,Lee Jin-Luen1,MacDonald Alexander E.1,Madden Paul1,Middlecoff Jacques1,Rosinski James1,Smirnova Tanya G.1,Sun Shan1,Wang Ning1

Affiliation:

1. NOAA/Earth System Research Laboratory, Boulder, Colorado

Abstract

Abstract A 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.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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