Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic

Trends and variability of the Arctic sea ice extent depend on various physical processes, including those related to changes in radiative fluxes, which are associated with cloudiness and water vapour and, in turn, with the atmospheric moisture transport over the Arctic. Aim of this work was: (i) to...

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Published in:Advances in Science and Research
Main Authors: BOCCOLARI, Mauro, Parmiggiani, Flavio
Other Authors: Boccolari, Mauro
Format: Conference Object
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/11380/1137617
https://doi.org/10.5194/asr-14-139-2017
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spelling ftunivmodena:oai:iris.unimore.it:11380/1137617 2024-04-21T07:55:40+00:00 Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic BOCCOLARI, Mauro Parmiggiani, Flavio Boccolari, Mauro Parmiggiani, Flavio 2017 http://hdl.handle.net/11380/1137617 https://doi.org/10.5194/asr-14-139-2017 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000402716600001 ispartofbook:ADVANCES IN SCIENCE AND RESEARCH 16th EMS Annual Meeting / 11th European Conference on Applied Climatology (ECAC) volume:14 firstpage:139 lastpage:143 numberofpages:5 journal:ADVANCES IN SCIENCE AND RESEARCH http://hdl.handle.net/11380/1137617 doi:10.5194/asr-14-139-2017 info:eu-repo/semantics/openAccess Arctic Surface Downward Longwave Radiation Sea Ice Concentration Maximum Covariance Analysis info:eu-repo/semantics/conferenceObject 2017 ftunivmodena https://doi.org/10.5194/asr-14-139-2017 2024-03-28T01:27:34Z Trends and variability of the Arctic sea ice extent depend on various physical processes, including those related to changes in radiative fluxes, which are associated with cloudiness and water vapour and, in turn, with the atmospheric moisture transport over the Arctic. Aim of this work was: (i) to extract seasonal spatial patterns of the co-variability between the sea ice concentration (SIC) and the surface downwelling longwave radiation (SDL) in the Arctic Ocean during the 1982–2009 period; and (ii) to estimate the correlation coefficients between these patterns and the indices associated to some climate oscillation modes (AO, NAO, PNA, PDO and AMO). Maximum Covariance Analysis (MCA) was the main technique used in this study. Among our results, we highlight two areas of maximum co-variability SIC/SDL centered over the Barents Sea in winter and over the Chukchi Sea in summer. In addition, some statistically significant correlations (at 95 %) between the spatial patterns of co-variability and climate oscillation indices were assessed, e.g. with PDO and AMO in November– January, with NAO and AMO in May–July, and with PNA in August–October. Conference Object Arctic Ocean Barents Sea Chukchi Chukchi Sea Sea ice Archivio della ricerca dell'Università di Modena e Reggio Emilia (Unimore: IRIS) Advances in Science and Research 14 139 143
institution Open Polar
collection Archivio della ricerca dell'Università di Modena e Reggio Emilia (Unimore: IRIS)
op_collection_id ftunivmodena
language English
topic Arctic
Surface Downward Longwave Radiation
Sea Ice Concentration
Maximum Covariance Analysis
spellingShingle Arctic
Surface Downward Longwave Radiation
Sea Ice Concentration
Maximum Covariance Analysis
BOCCOLARI, Mauro
Parmiggiani, Flavio
Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic
topic_facet Arctic
Surface Downward Longwave Radiation
Sea Ice Concentration
Maximum Covariance Analysis
description Trends and variability of the Arctic sea ice extent depend on various physical processes, including those related to changes in radiative fluxes, which are associated with cloudiness and water vapour and, in turn, with the atmospheric moisture transport over the Arctic. Aim of this work was: (i) to extract seasonal spatial patterns of the co-variability between the sea ice concentration (SIC) and the surface downwelling longwave radiation (SDL) in the Arctic Ocean during the 1982–2009 period; and (ii) to estimate the correlation coefficients between these patterns and the indices associated to some climate oscillation modes (AO, NAO, PNA, PDO and AMO). Maximum Covariance Analysis (MCA) was the main technique used in this study. Among our results, we highlight two areas of maximum co-variability SIC/SDL centered over the Barents Sea in winter and over the Chukchi Sea in summer. In addition, some statistically significant correlations (at 95 %) between the spatial patterns of co-variability and climate oscillation indices were assessed, e.g. with PDO and AMO in November– January, with NAO and AMO in May–July, and with PNA in August–October.
author2 Boccolari, Mauro
Parmiggiani, Flavio
format Conference Object
author BOCCOLARI, Mauro
Parmiggiani, Flavio
author_facet BOCCOLARI, Mauro
Parmiggiani, Flavio
author_sort BOCCOLARI, Mauro
title Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic
title_short Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic
title_full Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic
title_fullStr Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic
title_full_unstemmed Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic
title_sort seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the arctic
publishDate 2017
url http://hdl.handle.net/11380/1137617
https://doi.org/10.5194/asr-14-139-2017
genre Arctic Ocean
Barents Sea
Chukchi
Chukchi Sea
Sea ice
genre_facet Arctic Ocean
Barents Sea
Chukchi
Chukchi Sea
Sea ice
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000402716600001
ispartofbook:ADVANCES IN SCIENCE AND RESEARCH
16th EMS Annual Meeting / 11th European Conference on Applied Climatology (ECAC)
volume:14
firstpage:139
lastpage:143
numberofpages:5
journal:ADVANCES IN SCIENCE AND RESEARCH
http://hdl.handle.net/11380/1137617
doi:10.5194/asr-14-139-2017
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/asr-14-139-2017
container_title Advances in Science and Research
container_volume 14
container_start_page 139
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