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

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

Mathematics

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	147-149
Number of pages	3
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

ASJC Scopus subject areas

Atmospheric Science

Cite this

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title = "Multimodel fine-resolution ensembles for short-range forecasts in mountainous terrain",

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.",

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journal = "Bulletin of the American Meteorological Society",

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T1 - Multimodel fine-resolution ensembles for short-range forecasts in mountainous terrain

AU - Stull, Roland

AU - Modzelewski, Henryk

AU - Deng, Xingxiu

AU - Zhou, Yongmei

AU - Huang, Li

AU - Cannon, Trina

AU - Hicks, George

AU - Storey, Duane

AU - Holmes, Miranda

AU - Charbonneau, James

PY - 2004

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N2 - 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.

AB - 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.

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SN - 0003-0007

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EP - 149

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

Y2 - 11 January 2004 through 15 January 2004

ER -

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

Abstract

ASJC Scopus subject areas

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