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: M. Boccolari, F. Parmiggiani
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
Subjects:
Q
Online Access:https://doi.org/10.5194/asr-14-139-2017
https://doaj.org/article/ff1d2cff28df4c728432f63d24406fb0
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spelling ftdoajarticles:oai:doaj.org/article:ff1d2cff28df4c728432f63d24406fb0 2023-05-15T14:46:38+02:00 Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic M. Boccolari F. Parmiggiani 2017-06-01T00:00:00Z https://doi.org/10.5194/asr-14-139-2017 https://doaj.org/article/ff1d2cff28df4c728432f63d24406fb0 EN eng Copernicus Publications http://www.adv-sci-res.net/14/139/2017/asr-14-139-2017.pdf https://doaj.org/toc/1992-0628 https://doaj.org/toc/1992-0636 doi:10.5194/asr-14-139-2017 1992-0628 1992-0636 https://doaj.org/article/ff1d2cff28df4c728432f63d24406fb0 Advances in Science and Research, Vol 14, Pp 139-143 (2017) Science Q Physics QC1-999 Meteorology. Climatology QC851-999 article 2017 ftdoajarticles https://doi.org/10.5194/asr-14-139-2017 2023-01-08T01:26:00Z 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. Article in Journal/Newspaper Arctic Arctic Ocean Barents Sea Chukchi Chukchi Sea Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Barents Sea Chukchi Sea Advances in Science and Research 14 139 143
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
Physics
QC1-999
Meteorology. Climatology
QC851-999
spellingShingle Science
Q
Physics
QC1-999
Meteorology. Climatology
QC851-999
M. Boccolari
F. Parmiggiani
Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic
topic_facet Science
Q
Physics
QC1-999
Meteorology. Climatology
QC851-999
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.
format Article in Journal/Newspaper
author M. Boccolari
F. Parmiggiani
author_facet M. Boccolari
F. Parmiggiani
author_sort M. Boccolari
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
publisher Copernicus Publications
publishDate 2017
url https://doi.org/10.5194/asr-14-139-2017
https://doaj.org/article/ff1d2cff28df4c728432f63d24406fb0
geographic Arctic
Arctic Ocean
Barents Sea
Chukchi Sea
geographic_facet Arctic
Arctic Ocean
Barents Sea
Chukchi Sea
genre Arctic
Arctic Ocean
Barents Sea
Chukchi
Chukchi Sea
Sea ice
genre_facet Arctic
Arctic Ocean
Barents Sea
Chukchi
Chukchi Sea
Sea ice
op_source Advances in Science and Research, Vol 14, Pp 139-143 (2017)
op_relation http://www.adv-sci-res.net/14/139/2017/asr-14-139-2017.pdf
https://doaj.org/toc/1992-0628
https://doaj.org/toc/1992-0636
doi:10.5194/asr-14-139-2017
1992-0628
1992-0636
https://doaj.org/article/ff1d2cff28df4c728432f63d24406fb0
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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