Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations

Observed global warming trends have their maximum in Arctic regions, a phenomenon referred to as Arctic Amplification. Consequently, Arctic sea ice shows a strong decreasing trend. These changes imprint modifications on atmospheric flow patterns not only in Arctic regions themselves. Changes of tele...

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Main Authors: Jaiser, Ralf, Handorf, Dörthe, Crasemann, Berit, Romanowsky, Erik, Dethloff, Klaus, Nakamura, Tetsu, Ukita, Jinro, Yamazaki, Koji
Format: Conference Object
Language:unknown
Published: 2017
Subjects:
Online Access:https://epic.awi.de/id/eprint/45773/
https://hdl.handle.net/10013/epic.51982
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spelling ftawi:oai:epic.awi.de:45773 2023-05-15T14:27:32+02:00 Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations Jaiser, Ralf Handorf, Dörthe Crasemann, Berit Romanowsky, Erik Dethloff, Klaus Nakamura, Tetsu Ukita, Jinro Yamazaki, Koji 2017-10-23 https://epic.awi.de/id/eprint/45773/ https://hdl.handle.net/10013/epic.51982 unknown Jaiser, R. orcid:0000-0002-5685-9637 , Handorf, D. orcid:0000-0002-3305-6882 , Crasemann, B. , Romanowsky, E. orcid:0000-0001-6461-7569 , Dethloff, K. , Nakamura, T. , Ukita, J. and Yamazaki, K. (2017) Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations , The International Workshop Polar Climate Change, Nanjing, China, 23 October 2017 - 24 October 2017 . hdl:10013/epic.51982 EPIC3The International Workshop Polar Climate Change, Nanjing, China, 2017-10-23-2017-10-24 Conference notRev 2017 ftawi 2021-12-24T15:43:23Z Observed global warming trends have their maximum in Arctic regions, a phenomenon referred to as Arctic Amplification. Consequently, Arctic sea ice shows a strong decreasing trend. These changes imprint modifications on atmospheric flow patterns not only in Arctic regions themselves. Changes of teleconnections and planetary scale motions like Rossby waves affect mid-latitude climate as well. The application of a cluster analysis revealed two circulation patterns that occur more frequently for low Arctic sea ice conditions: a Scandinavian blocking in December and January and a negative North Atlantic Oscillation pattern in February and March. The first pattern is related to enhanced upward wave propagation in this region and period. These waves reach the stratosphere and disturb the polar vortex. The downward response is again linked to the higher frequency of negative NAO events in late winter. These results are consistent in reanalysis data and model simulations. Conference Object Arctic Arctic Global warming North Atlantic North Atlantic oscillation Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Observed global warming trends have their maximum in Arctic regions, a phenomenon referred to as Arctic Amplification. Consequently, Arctic sea ice shows a strong decreasing trend. These changes imprint modifications on atmospheric flow patterns not only in Arctic regions themselves. Changes of teleconnections and planetary scale motions like Rossby waves affect mid-latitude climate as well. The application of a cluster analysis revealed two circulation patterns that occur more frequently for low Arctic sea ice conditions: a Scandinavian blocking in December and January and a negative North Atlantic Oscillation pattern in February and March. The first pattern is related to enhanced upward wave propagation in this region and period. These waves reach the stratosphere and disturb the polar vortex. The downward response is again linked to the higher frequency of negative NAO events in late winter. These results are consistent in reanalysis data and model simulations.
format Conference Object
author Jaiser, Ralf
Handorf, Dörthe
Crasemann, Berit
Romanowsky, Erik
Dethloff, Klaus
Nakamura, Tetsu
Ukita, Jinro
Yamazaki, Koji
spellingShingle Jaiser, Ralf
Handorf, Dörthe
Crasemann, Berit
Romanowsky, Erik
Dethloff, Klaus
Nakamura, Tetsu
Ukita, Jinro
Yamazaki, Koji
Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations
author_facet Jaiser, Ralf
Handorf, Dörthe
Crasemann, Berit
Romanowsky, Erik
Dethloff, Klaus
Nakamura, Tetsu
Ukita, Jinro
Yamazaki, Koji
author_sort Jaiser, Ralf
title Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations
title_short Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations
title_full Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations
title_fullStr Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations
title_full_unstemmed Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations
title_sort linkages between arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations
publishDate 2017
url https://epic.awi.de/id/eprint/45773/
https://hdl.handle.net/10013/epic.51982
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
Global warming
North Atlantic
North Atlantic oscillation
Sea ice
genre_facet Arctic
Arctic
Global warming
North Atlantic
North Atlantic oscillation
Sea ice
op_source EPIC3The International Workshop Polar Climate Change, Nanjing, China, 2017-10-23-2017-10-24
op_relation Jaiser, R. orcid:0000-0002-5685-9637 , Handorf, D. orcid:0000-0002-3305-6882 , Crasemann, B. , Romanowsky, E. orcid:0000-0001-6461-7569 , Dethloff, K. , Nakamura, T. , Ukita, J. and Yamazaki, K. (2017) Linkages between Arctic sea-ice changes and atmospheric circulation patterns in reanalysis data and model simulations , The International Workshop Polar Climate Change, Nanjing, China, 23 October 2017 - 24 October 2017 . hdl:10013/epic.51982
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