Verification of analysed and forecasted winter precipitation in complex terrain

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 syste...

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Published in:The Cryosphere
Main Authors: M. Schirmer, B. Jamieson
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
Online Access:https://doi.org/10.5194/tc-9-587-2015
http://www.the-cryosphere.net/9/587/2015/tc-9-587-2015.pdf
https://doaj.org/article/3c2ad23aa78b4a7898c067d12db03ea3
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author M. Schirmer
B. Jamieson
author_facet M. Schirmer
B. Jamieson
author_sort M. Schirmer
collection Unknown
container_issue 2
container_start_page 587
container_title The Cryosphere
container_volume 9
description 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.
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:3c2ad23aa78b4a7898c067d12db03ea3 2025-01-17T01:05:54+00:00 Verification of analysed and forecasted winter precipitation in complex terrain M. Schirmer B. Jamieson 2015-03-01 https://doi.org/10.5194/tc-9-587-2015 http://www.the-cryosphere.net/9/587/2015/tc-9-587-2015.pdf https://doaj.org/article/3c2ad23aa78b4a7898c067d12db03ea3 en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-9-587-2015 http://www.the-cryosphere.net/9/587/2015/tc-9-587-2015.pdf https://doaj.org/article/3c2ad23aa78b4a7898c067d12db03ea3 undefined The Cryosphere, Vol 9, Iss 2, Pp 587-601 (2015) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2015 fttriple https://doi.org/10.5194/tc-9-587-2015 2023-01-22T19:15:08Z 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. Article in Journal/Newspaper The Cryosphere Unknown Canada The Cryosphere 9 2 587 601
spellingShingle geo
envir
M. Schirmer
B. Jamieson
Verification of analysed and forecasted winter precipitation in complex terrain
title Verification of analysed and forecasted winter precipitation in complex terrain
title_full Verification of analysed and forecasted winter precipitation in complex terrain
title_fullStr Verification of analysed and forecasted winter precipitation in complex terrain
title_full_unstemmed Verification of analysed and forecasted winter precipitation in complex terrain
title_short Verification of analysed and forecasted winter precipitation in complex terrain
title_sort verification of analysed and forecasted winter precipitation in complex terrain
topic geo
envir
topic_facet geo
envir
url https://doi.org/10.5194/tc-9-587-2015
http://www.the-cryosphere.net/9/587/2015/tc-9-587-2015.pdf
https://doaj.org/article/3c2ad23aa78b4a7898c067d12db03ea3