On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015

Sea ice is one of the most important components of the polar climate system. The decline of the Arctic sea-ice extent (SIE), particularly during the melting season (Aug.-Oct.), is widely observed. Important roles in the melting process are played by the changes in thermodynamics and radiation forcin...

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Main Authors: Mauro Boccolari, Flavio Parmiggiani
Other Authors: Boccolari, Mauro, Parmiggiani, Flavio
Format: Conference Object
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/11380/1196865
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spelling ftunivmodena:oai:iris.unimore.it:11380/1196865 2024-01-21T10:03:17+01:00 On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015 Mauro Boccolari Flavio Parmiggiani Boccolari, Mauro Parmiggiani, Flavio 2019 http://hdl.handle.net/11380/1196865 eng eng ispartofbook:EMS Annual Meeting Abstracts EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2019 volume:16 firstpage:183 lastpage:183 http://hdl.handle.net/11380/1196865 info:eu-repo/semantics/openAccess info:eu-repo/semantics/conferenceObject 2019 ftunivmodena 2023-12-26T23:21:59Z Sea ice is one of the most important components of the polar climate system. The decline of the Arctic sea-ice extent (SIE), particularly during the melting season (Aug.-Oct.), is widely observed. Important roles in the melting process are played by the changes in thermodynamics and radiation forcing, in particular in relation to surface temperature and cloud cover, and also by the ocean and atmospheric circulation. Even if several studies already analysed the behaviour of SIE in the Arctic using standard linear and non-linear regression methods, this work aims to investigate the correlation between cloud fraction cover (CFC) and summer SIE in 15 Arctic sub-regions. CFC, together with surface temperature and u- and v- wind components, are also used as predictor variables in multiple regression equations for a statistical forecast of SIE for each one of the 15 sub-regions. The data used are: i) monthly SIE, obtained from the sea ice concentration (SIC) dataset over the Arctic as provided by the National Snow and Ice Data Center (NSIDC) and computed using the Nasa Team (NT) algorithm; ii) monthly CFC (for all, high, middle and low clouds) available from the CLARA-A2 dataset produced by the EUMETSAT Climate Monitoring Satellite Application Facility (CM SAF), the data being on a 25km x 25km regular grid; iii) monthly air temperatures and u- and v- wind components at sigma 0.995 collected from NCEP/NCAR R1. All data are given on a global regular lat-lon grid with resolution 2.5x2.5 and refer to the period 1982-2015; they were also seasonally and spatially averaged over each sub-region. As expected, the contribution of cloud fraction cover to the SIE variability is lower of that due to thermodynamic forcing through the ‘surface’ temperature and the ‘surface’ wind. However, for some sub-regions (e. g. Greenland Sea, Beaufort Sea) the cloud cover contribution to SIE became relevant. For most sub-regions, the largest contribution seems to come from the middle clouds (440hPa - 680 hPa). Conference Object Arctic Beaufort Sea Greenland Greenland Sea National Snow and Ice Data Center Sea ice Archivio della ricerca dell'Università di Modena e Reggio Emilia (Unimore: IRIS) Arctic Greenland
institution Open Polar
collection Archivio della ricerca dell'Università di Modena e Reggio Emilia (Unimore: IRIS)
op_collection_id ftunivmodena
language English
description Sea ice is one of the most important components of the polar climate system. The decline of the Arctic sea-ice extent (SIE), particularly during the melting season (Aug.-Oct.), is widely observed. Important roles in the melting process are played by the changes in thermodynamics and radiation forcing, in particular in relation to surface temperature and cloud cover, and also by the ocean and atmospheric circulation. Even if several studies already analysed the behaviour of SIE in the Arctic using standard linear and non-linear regression methods, this work aims to investigate the correlation between cloud fraction cover (CFC) and summer SIE in 15 Arctic sub-regions. CFC, together with surface temperature and u- and v- wind components, are also used as predictor variables in multiple regression equations for a statistical forecast of SIE for each one of the 15 sub-regions. The data used are: i) monthly SIE, obtained from the sea ice concentration (SIC) dataset over the Arctic as provided by the National Snow and Ice Data Center (NSIDC) and computed using the Nasa Team (NT) algorithm; ii) monthly CFC (for all, high, middle and low clouds) available from the CLARA-A2 dataset produced by the EUMETSAT Climate Monitoring Satellite Application Facility (CM SAF), the data being on a 25km x 25km regular grid; iii) monthly air temperatures and u- and v- wind components at sigma 0.995 collected from NCEP/NCAR R1. All data are given on a global regular lat-lon grid with resolution 2.5x2.5 and refer to the period 1982-2015; they were also seasonally and spatially averaged over each sub-region. As expected, the contribution of cloud fraction cover to the SIE variability is lower of that due to thermodynamic forcing through the ‘surface’ temperature and the ‘surface’ wind. However, for some sub-regions (e. g. Greenland Sea, Beaufort Sea) the cloud cover contribution to SIE became relevant. For most sub-regions, the largest contribution seems to come from the middle clouds (440hPa - 680 hPa).
author2 Boccolari, Mauro
Parmiggiani, Flavio
format Conference Object
author Mauro Boccolari
Flavio Parmiggiani
spellingShingle Mauro Boccolari
Flavio Parmiggiani
On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015
author_facet Mauro Boccolari
Flavio Parmiggiani
author_sort Mauro Boccolari
title On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015
title_short On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015
title_full On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015
title_fullStr On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015
title_full_unstemmed On the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 Arctic sub-regions, 1982-2015
title_sort on the statistical contribution of cloud fraction cover to the summer sea-ice extent of 15 arctic sub-regions, 1982-2015
publishDate 2019
url http://hdl.handle.net/11380/1196865
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Arctic
Beaufort Sea
Greenland
Greenland Sea
National Snow and Ice Data Center
Sea ice
genre_facet Arctic
Beaufort Sea
Greenland
Greenland Sea
National Snow and Ice Data Center
Sea ice
op_relation ispartofbook:EMS Annual Meeting Abstracts
EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2019
volume:16
firstpage:183
lastpage:183
http://hdl.handle.net/11380/1196865
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