Multimodel fine-resolution ensembles for short-range forecasts in mountainous terrain

Roland Stull, Henryk Modzelewski, Xingxiu Deng, Yongmei Zhou, Li Huang, Trina Cannon, George Hicks, Duane Storey, Miranda Holmes, James Charbonneau

Research output: Contribution to journalArticlepeer-review

Abstract

An operational multimodel fine-resolution ensembles for short-range forecasts in mountainous terrain is analyzed. The four models used in this study includes: Nonhydrostatic modeling system (NMS), Mesoscale model version 5 (MM5), Mesoscale compressible community model (MC2), Weather research and forecast model (WRF). Inclusion of the Kalman-corrected coarse-resolution grids with all the other medium and finger grids helps in improving the ensemble average point meteograms. The overall economic impact of the data void in any region is predicted to be proportional to the area between the solid curve and dashed curve.

Original languageEnglish (US)
Pages (from-to)147-149
Number of pages3
JournalBulletin of the American Meteorological Society
StatePublished - 2004
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
Duration: Jan 11 2004Jan 15 2004

ASJC Scopus subject areas

  • Atmospheric Science

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