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Hydrometeorological Short-Range Ensemble Forecasts in Complex Terrain. Part I: Meteorological Evaluation. McCollor, Doug; Stull, Roland B.
Abstract
This paper addresses the question of whether it is better to include lower-resolution members of a nested suite of numerical precipitation forecasts to increase ensemble size, or to utilize high-resolution members only to maximize forecast details in regions of complex terrain. A short-range ensemble forecast (SREF) system is formed from three models running in nested configurations at 108-, 36-, 12-, and 4-km horizontal grid spacings. The forecasts are sampled at 27 precipitation-gauge locations, representing 15 pluvial watersheds in southwestern British Columbia, Canada. This is a region of complex topography characterized by high mountains, glaciers, fjords, and land–ocean boundaries. Matching forecast–observation pairs are analyzed for two consecutive wet seasons: October 2003–March 2004 and October 2004–March 2005. The northwest coast of North America is typically subject to intense landfalling Pacific cyclones and frontal systems during these months. Using forecast analysis tools that are well designed for SREF systems, it is found that utilizing the full suite of ensemble members, including the lowest-resolution members, produced the highest quality probabilistic forecasts of precipitation. A companion paper assesses the economic value of SREF probabilistic forecasts for hydroelectric operations. Copyright 2008 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyright@ametsoc.org.
Item Metadata
Title |
Hydrometeorological Short-Range Ensemble Forecasts in Complex Terrain. Part I: Meteorological Evaluation.
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Creator | |
Publisher |
American Meteorological Society
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Date Issued |
2008-08
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Description |
This paper addresses the question of whether it is better to include lower-resolution members of a nested
suite of numerical precipitation forecasts to increase ensemble size, or to utilize high-resolution members
only to maximize forecast details in regions of complex terrain. A short-range ensemble forecast (SREF)
system is formed from three models running in nested configurations at 108-, 36-, 12-, and 4-km horizontal
grid spacings. The forecasts are sampled at 27 precipitation-gauge locations, representing 15 pluvial watersheds
in southwestern British Columbia, Canada. This is a region of complex topography characterized by
high mountains, glaciers, fjords, and land–ocean boundaries. Matching forecast–observation pairs are analyzed
for two consecutive wet seasons: October 2003–March 2004 and October 2004–March 2005. The
northwest coast of North America is typically subject to intense landfalling Pacific cyclones and frontal
systems during these months.
Using forecast analysis tools that are well designed for SREF systems, it is found that utilizing the full
suite of ensemble members, including the lowest-resolution members, produced the highest quality probabilistic
forecasts of precipitation. A companion paper assesses the economic value of SREF probabilistic
forecasts for hydroelectric operations. Copyright 2008 American Meteorological Society (AMS). Permission
to use figures, tables, and brief excerpts from this work in scientific and educational
works is hereby granted provided that the source is acknowledged. Any use of material in
this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act
or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17
USC §108, as revised by P.L. 94-553) does not require the AMS’s permission.
Republication, systematic reproduction, posting in electronic form, such as on a web site
or in a searchable database, or other uses of this material, except as exempted by the
above statement, requires written permission or a license from the AMS. Additional
details are provided in the AMS Copyright Policy, available on the AMS Web site
located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or
copyright@ametsoc.org.
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Genre | |
Type | |
Language |
eng
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Date Available |
2011-04-11
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0041851
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URI | |
Affiliation | |
Citation |
McCollor, Doug, Stull, Roland B. 2008. Hydrometeorological Short-Range Ensemble Forecasts in Complex Terrain. Part I: Meteorological Evaluation. Weather and Forecasting. 23(4) 533-556.
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Publisher DOI |
10.1175/2008WAF2007063.1
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
Stull, Roland B.
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International