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Verification of Analysed and Forecasted Winter Precipitation in Complex Terrain : Volume 9, Issue 2 (27/03/2015)

By Schirmer, M.

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Book Id: WPLBN0003972540
Format Type: PDF Article :
File Size: Pages 15
Reproduction Date: 2015

Title: Verification of Analysed and Forecasted Winter Precipitation in Complex Terrain : Volume 9, Issue 2 (27/03/2015)  
Author: Schirmer, M.
Volume: Vol. 9, Issue 2
Language: English
Subject: Science, Cryosphere
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Schirmer, M., & Jamieson, B. (2015). Verification of Analysed and Forecasted Winter Precipitation in Complex Terrain : Volume 9, Issue 2 (27/03/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Civil Engineering, University of Calgary, Calgary, AB, Canada. Numerical Weather Prediction (NWP) models are rarely verified for mountainous regions during the winter season, although avalanche forecasters and other decision makers frequently rely on NWP models. Winter precipitation from two NWP models (GEM-LAM and GEM15) and from a precipitation analysis system (CaPA) was verified at approximately 100 stations in the mountains of western Canada and the north-western US. Ultrasonic snow depth sensors and snow pillows were used to observe daily precipitation amounts. For the first time, a detailed objective validation scheme was performed highlighting many aspects of forecast quality. Overall, the models underestimated precipitation amounts, although low precipitation categories were overestimated. The finer resolution model GEM-LAM performed best in all analysed aspects of model performance, while the precipitation analysis system performed worst. An analysis of the economic value of large precipitation categories showed that only mitigation measures with low cost–loss ratios (i.e. measures that can be performed often) will benefit from these NWP models. This means that measures with large associated costs relative to anticipated losses when the measure is not performed should not or not primarily depend on forecasted precipitation.

Summary
Verification of analysed and forecasted winter precipitation in complex terrain

Excerpt
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