Scottish snow cover dependence on the North Atlantic Oscillation index

Forecasting seasonal snow cover is useful for planning resources and mitigating natural hazards. We present a link between the North Atlantic Oscillation (NAO) index and days of snow cover in Scotland between winters beginning from 1875 to 2013. Using broad (5 km resolution), national scale data set...

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Published in:Hydrology Research
Main Authors: Michael Spencer, Richard Essery
Format: Article in Journal/Newspaper
Language:English
Published: IWA Publishing 2016
Subjects:
Online Access:https://doi.org/10.2166/nh.2016.085
https://doaj.org/article/4c4e5740892f4af9809dd300d45aada4
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spelling ftdoajarticles:oai:doaj.org/article:4c4e5740892f4af9809dd300d45aada4 2023-05-15T17:28:42+02:00 Scottish snow cover dependence on the North Atlantic Oscillation index Michael Spencer Richard Essery 2016-06-01T00:00:00Z https://doi.org/10.2166/nh.2016.085 https://doaj.org/article/4c4e5740892f4af9809dd300d45aada4 EN eng IWA Publishing http://hr.iwaponline.com/content/47/3/619 https://doaj.org/toc/1998-9563 https://doaj.org/toc/2224-7955 1998-9563 2224-7955 doi:10.2166/nh.2016.085 https://doaj.org/article/4c4e5740892f4af9809dd300d45aada4 Hydrology Research, Vol 47, Iss 3, Pp 619-629 (2016) climate north atlantic oscillation scotland snow River lake and water-supply engineering (General) TC401-506 Physical geography GB3-5030 article 2016 ftdoajarticles https://doi.org/10.2166/nh.2016.085 2023-01-08T01:34:18Z Forecasting seasonal snow cover is useful for planning resources and mitigating natural hazards. We present a link between the North Atlantic Oscillation (NAO) index and days of snow cover in Scotland between winters beginning from 1875 to 2013. Using broad (5 km resolution), national scale data sets like UK Climate Projections 2009 (UKCP09) to extract nationwide patterns, we support these findings using hillslope scale data from the Snow Survey of Great Britain (SSGB). Currently collected snow cover data are considered using remotely sensed satellite observations, from moderate-resolution imaging spectroradiometer; but the results are inconclusive due to cloud. The strongest correlations between the NAO index and snow cover are found in eastern and southern Scotland; these results are supported by both SSGB and UKCP09 data. Correlations between NAO index and snow cover are negative with the strongest relationships found for elevations below 750 m. Four SSGB sites (two in eastern Scotland, two in southern Scotland) were modelled linearly with resulting slopes between −6 and −16 days of snow cover per NAO index integer value. This is the first time the relationship between NAO index and snow cover duration has been quantified and mapped in Scotland. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Snow River ENVELOPE(-102.368,-102.368,62.817,62.817) Hydrology Research 47 3 619 629
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic climate
north atlantic oscillation
scotland
snow
River
lake
and water-supply engineering (General)
TC401-506
Physical geography
GB3-5030
spellingShingle climate
north atlantic oscillation
scotland
snow
River
lake
and water-supply engineering (General)
TC401-506
Physical geography
GB3-5030
Michael Spencer
Richard Essery
Scottish snow cover dependence on the North Atlantic Oscillation index
topic_facet climate
north atlantic oscillation
scotland
snow
River
lake
and water-supply engineering (General)
TC401-506
Physical geography
GB3-5030
description Forecasting seasonal snow cover is useful for planning resources and mitigating natural hazards. We present a link between the North Atlantic Oscillation (NAO) index and days of snow cover in Scotland between winters beginning from 1875 to 2013. Using broad (5 km resolution), national scale data sets like UK Climate Projections 2009 (UKCP09) to extract nationwide patterns, we support these findings using hillslope scale data from the Snow Survey of Great Britain (SSGB). Currently collected snow cover data are considered using remotely sensed satellite observations, from moderate-resolution imaging spectroradiometer; but the results are inconclusive due to cloud. The strongest correlations between the NAO index and snow cover are found in eastern and southern Scotland; these results are supported by both SSGB and UKCP09 data. Correlations between NAO index and snow cover are negative with the strongest relationships found for elevations below 750 m. Four SSGB sites (two in eastern Scotland, two in southern Scotland) were modelled linearly with resulting slopes between −6 and −16 days of snow cover per NAO index integer value. This is the first time the relationship between NAO index and snow cover duration has been quantified and mapped in Scotland.
format Article in Journal/Newspaper
author Michael Spencer
Richard Essery
author_facet Michael Spencer
Richard Essery
author_sort Michael Spencer
title Scottish snow cover dependence on the North Atlantic Oscillation index
title_short Scottish snow cover dependence on the North Atlantic Oscillation index
title_full Scottish snow cover dependence on the North Atlantic Oscillation index
title_fullStr Scottish snow cover dependence on the North Atlantic Oscillation index
title_full_unstemmed Scottish snow cover dependence on the North Atlantic Oscillation index
title_sort scottish snow cover dependence on the north atlantic oscillation index
publisher IWA Publishing
publishDate 2016
url https://doi.org/10.2166/nh.2016.085
https://doaj.org/article/4c4e5740892f4af9809dd300d45aada4
long_lat ENVELOPE(-102.368,-102.368,62.817,62.817)
geographic Snow River
geographic_facet Snow River
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Hydrology Research, Vol 47, Iss 3, Pp 619-629 (2016)
op_relation http://hr.iwaponline.com/content/47/3/619
https://doaj.org/toc/1998-9563
https://doaj.org/toc/2224-7955
1998-9563
2224-7955
doi:10.2166/nh.2016.085
https://doaj.org/article/4c4e5740892f4af9809dd300d45aada4
op_doi https://doi.org/10.2166/nh.2016.085
container_title Hydrology Research
container_volume 47
container_issue 3
container_start_page 619
op_container_end_page 629
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