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Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations
A coordinated set of large ensemble atmosphere‐only simulations is used to investigate the impacts of observed Arctic sea ice‐driven variability (SIDV) on the atmospheric circulation during 1979–2014. The experimental protocol permits separating Arctic SIDV from internal variability and variability...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375043/ https://www.ncbi.nlm.nih.gov/pubmed/32713972 http://dx.doi.org/10.1029/2019GL085397 |
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author | Liang, Yu‐Chiao Kwon, Young‐Oh Frankignoul, Claude Danabasoglu, Gokhan Yeager, Stephen Cherchi, Annalisa Gao, Yongqi Gastineau, Guillaume Ghosh, Rohit Matei, Daniela Mecking, Jennifer V. Peano, Daniele Suo, Lingling Tian, Tian |
author_facet | Liang, Yu‐Chiao Kwon, Young‐Oh Frankignoul, Claude Danabasoglu, Gokhan Yeager, Stephen Cherchi, Annalisa Gao, Yongqi Gastineau, Guillaume Ghosh, Rohit Matei, Daniela Mecking, Jennifer V. Peano, Daniele Suo, Lingling Tian, Tian |
author_sort | Liang, Yu‐Chiao |
collection | PubMed |
description | A coordinated set of large ensemble atmosphere‐only simulations is used to investigate the impacts of observed Arctic sea ice‐driven variability (SIDV) on the atmospheric circulation during 1979–2014. The experimental protocol permits separating Arctic SIDV from internal variability and variability driven by other forcings including sea surface temperature and greenhouse gases. The geographic pattern of SIDV is consistent across seven participating models, but its magnitude strongly depends on ensemble size. Based on 130 members, winter SIDV is ~0.18 hPa(2) for Arctic‐averaged sea level pressure (~1.5% of the total variance), and ~0.35 K(2) for surface air temperature (~21%) at interannual and longer timescales. The results suggest that more than 100 (40) members are needed to separate Arctic SIDV from other components for dynamical (thermodynamical) variables, and insufficient ensemble size always leads to overestimation of SIDV. Nevertheless, SIDV is 0.75–1.5 times as large as the variability driven by other forcings over northern Eurasia and Arctic. |
format | Online Article Text |
id | pubmed-7375043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73750432020-07-23 Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations Liang, Yu‐Chiao Kwon, Young‐Oh Frankignoul, Claude Danabasoglu, Gokhan Yeager, Stephen Cherchi, Annalisa Gao, Yongqi Gastineau, Guillaume Ghosh, Rohit Matei, Daniela Mecking, Jennifer V. Peano, Daniele Suo, Lingling Tian, Tian Geophys Res Lett Research Letters A coordinated set of large ensemble atmosphere‐only simulations is used to investigate the impacts of observed Arctic sea ice‐driven variability (SIDV) on the atmospheric circulation during 1979–2014. The experimental protocol permits separating Arctic SIDV from internal variability and variability driven by other forcings including sea surface temperature and greenhouse gases. The geographic pattern of SIDV is consistent across seven participating models, but its magnitude strongly depends on ensemble size. Based on 130 members, winter SIDV is ~0.18 hPa(2) for Arctic‐averaged sea level pressure (~1.5% of the total variance), and ~0.35 K(2) for surface air temperature (~21%) at interannual and longer timescales. The results suggest that more than 100 (40) members are needed to separate Arctic SIDV from other components for dynamical (thermodynamical) variables, and insufficient ensemble size always leads to overestimation of SIDV. Nevertheless, SIDV is 0.75–1.5 times as large as the variability driven by other forcings over northern Eurasia and Arctic. John Wiley and Sons Inc. 2020-01-17 2020-01-16 /pmc/articles/PMC7375043/ /pubmed/32713972 http://dx.doi.org/10.1029/2019GL085397 Text en ©2019. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Letters Liang, Yu‐Chiao Kwon, Young‐Oh Frankignoul, Claude Danabasoglu, Gokhan Yeager, Stephen Cherchi, Annalisa Gao, Yongqi Gastineau, Guillaume Ghosh, Rohit Matei, Daniela Mecking, Jennifer V. Peano, Daniele Suo, Lingling Tian, Tian Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations |
title | Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations |
title_full | Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations |
title_fullStr | Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations |
title_full_unstemmed | Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations |
title_short | Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations |
title_sort | quantification of the arctic sea ice‐driven atmospheric circulation variability in coordinated large ensemble simulations |
topic | Research Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375043/ https://www.ncbi.nlm.nih.gov/pubmed/32713972 http://dx.doi.org/10.1029/2019GL085397 |
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