Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data

Snow cover plays a vital role in the Swiss Alps and therefore it is of major interest to determine and understand its variability on different spatiotemporal scales. Within the activities of the National Climate Observing System (GCOS Switzerland) inter-annual variations of snow days over Switzerlan...

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Published in:The Cryosphere
Main Authors: G. Seiz, N. Foppa
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2012
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-6-331-2012
http://www.the-cryosphere.net/6/331/2012/tc-6-331-2012.pdf
https://doaj.org/article/14e06f928e8e4ee693b0dc3af960af71
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:14e06f928e8e4ee693b0dc3af960af71 2023-05-15T18:32:21+02:00 Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data G. Seiz N. Foppa 2012-03-01 https://doi.org/10.5194/tc-6-331-2012 http://www.the-cryosphere.net/6/331/2012/tc-6-331-2012.pdf https://doaj.org/article/14e06f928e8e4ee693b0dc3af960af71 en eng Copernicus Publications doi:10.5194/tc-6-331-2012 1994-0416 1994-0424 http://www.the-cryosphere.net/6/331/2012/tc-6-331-2012.pdf https://doaj.org/article/14e06f928e8e4ee693b0dc3af960af71 undefined The Cryosphere, Vol 6, Iss 2, Pp 331-342 (2012) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2012 fttriple https://doi.org/10.5194/tc-6-331-2012 2023-01-22T18:11:00Z Snow cover plays a vital role in the Swiss Alps and therefore it is of major interest to determine and understand its variability on different spatiotemporal scales. Within the activities of the National Climate Observing System (GCOS Switzerland) inter-annual variations of snow days over Switzerland were derived from 2000 to 2010 based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. To minimize the impact of cloud cover on the MODIS snow product MOD10C1, we implemented a post-processing technique based on a forward and backward gap-filling approach. Using the proposed methodology it was possible to determine the total number of annual snow days over Switzerland from 2000 to 2010 (SCDMODIS). The accuracy of the calculated snow days per year were quantitatively evaluated against three in situ snow observation sites representing different climatological regimes (SCDin_situ). Various statistical indices were computed and analysed over the entire period. The overall accuracy between SCDMODIS and SCDin_situ on a daily basis over 10 yr is 88% to 94%, depending on the regional characteristics of each validation site. Differences between SCDMODIS and SCDin_situ vary during the snow accumulation period in autumn and smaller differences after spring, in particularly for the Central Alps. Article in Journal/Newspaper The Cryosphere Unknown The Cryosphere 6 2 331 342
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
G. Seiz
N. Foppa
Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data
topic_facet geo
envir
description Snow cover plays a vital role in the Swiss Alps and therefore it is of major interest to determine and understand its variability on different spatiotemporal scales. Within the activities of the National Climate Observing System (GCOS Switzerland) inter-annual variations of snow days over Switzerland were derived from 2000 to 2010 based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. To minimize the impact of cloud cover on the MODIS snow product MOD10C1, we implemented a post-processing technique based on a forward and backward gap-filling approach. Using the proposed methodology it was possible to determine the total number of annual snow days over Switzerland from 2000 to 2010 (SCDMODIS). The accuracy of the calculated snow days per year were quantitatively evaluated against three in situ snow observation sites representing different climatological regimes (SCDin_situ). Various statistical indices were computed and analysed over the entire period. The overall accuracy between SCDMODIS and SCDin_situ on a daily basis over 10 yr is 88% to 94%, depending on the regional characteristics of each validation site. Differences between SCDMODIS and SCDin_situ vary during the snow accumulation period in autumn and smaller differences after spring, in particularly for the Central Alps.
format Article in Journal/Newspaper
author G. Seiz
N. Foppa
author_facet G. Seiz
N. Foppa
author_sort G. Seiz
title Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data
title_short Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data
title_full Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data
title_fullStr Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data
title_full_unstemmed Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data
title_sort inter-annual variations of snow days over switzerland from 2000–2010 derived from modis satellite data
publisher Copernicus Publications
publishDate 2012
url https://doi.org/10.5194/tc-6-331-2012
http://www.the-cryosphere.net/6/331/2012/tc-6-331-2012.pdf
https://doaj.org/article/14e06f928e8e4ee693b0dc3af960af71
genre The Cryosphere
genre_facet The Cryosphere
op_source The Cryosphere, Vol 6, Iss 2, Pp 331-342 (2012)
op_relation doi:10.5194/tc-6-331-2012
1994-0416
1994-0424
http://www.the-cryosphere.net/6/331/2012/tc-6-331-2012.pdf
https://doaj.org/article/14e06f928e8e4ee693b0dc3af960af71
op_rights undefined
op_doi https://doi.org/10.5194/tc-6-331-2012
container_title The Cryosphere
container_volume 6
container_issue 2
container_start_page 331
op_container_end_page 342
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