Quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations

© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Liang, Y., Kwon, Y., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J., V., Peano...

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Published in:Geophysical Research Letters
Main Authors: Liang, Yu‐Chiao, Kwon, Young-Oh, Frankignoul, Claude, Danabasoglu, Gokhan, Yeager, Stephen G., Cherchi, Annalisa, Gao, Yongqi, Gastineau, Guillaume, Ghosh, Rohit, Matei, Daniela, Mecking, Jennifer V., Peano, Daniele, Suo, Lingling, Tian, Tian
Format: Article in Journal/Newspaper
Language:unknown
Published: American Geophysical Union 2019
Subjects:
Suo
Online Access:https://hdl.handle.net/1912/25579
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spelling ftwhoas:oai:darchive.mblwhoilibrary.org:1912/25579 2023-05-15T14:26:01+02:00 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 G. Cherchi, Annalisa Gao, Yongqi Gastineau, Guillaume Ghosh, Rohit Matei, Daniela Mecking, Jennifer V. Peano, Daniele Suo, Lingling Tian, Tian 2019-12-26 https://hdl.handle.net/1912/25579 unknown American Geophysical Union https://doi.org/10.1029/2019GL085397 Liang, Y., Kwon, Y., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J., V., Peano, D., Suo, L., & Tian, T. (2020). Quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations. Geophysical Research Letters, 47(1), e2019GL085397. https://hdl.handle.net/1912/25579 doi:10.1029/2019GL085397 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ CC-BY Liang, Y., Kwon, Y., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J., V., Peano, D., Suo, L., & Tian, T. (2020). Quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations. Geophysical Research Letters, 47(1), e2019GL085397. doi:10.1029/2019GL085397 Article 2019 ftwhoas https://doi.org/10.1029/2019GL085397 2022-05-28T23:03:37Z © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Liang, Y., Kwon, Y., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J., V., Peano, D., Suo, L., & Tian, T. Quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations. Geophysical Research Letters, 47(1), (2020): e2019GL085397, doi:10.1029/2019GL085397. 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 hPa2 for Arctic‐averaged sea level pressure (~1.5% of the total variance), and ~0.35 K2 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. The authors thank Editor Christina Patricola and two anonymous reviewers for their comprehensive and insightful comments, which have led to improved presentation of this manuscript. We acknowledge support by the Blue‐Action Project (European Union's Horizon 2020 research and innovation program, 727852, http://www.blue‐action.eu/index.php?id = 3498). The WHOI‐NCAR group is also supported by the US National Science Foundation (NSF) ... Article in Journal/Newspaper Arctic Arctic Sea ice Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Arctic Suo ENVELOPE(23.924,23.924,66.145,66.145) Geophysical Research Letters 47 1
institution Open Polar
collection Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server)
op_collection_id ftwhoas
language unknown
description © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Liang, Y., Kwon, Y., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J., V., Peano, D., Suo, L., & Tian, T. Quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations. Geophysical Research Letters, 47(1), (2020): e2019GL085397, doi:10.1029/2019GL085397. 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 hPa2 for Arctic‐averaged sea level pressure (~1.5% of the total variance), and ~0.35 K2 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. The authors thank Editor Christina Patricola and two anonymous reviewers for their comprehensive and insightful comments, which have led to improved presentation of this manuscript. We acknowledge support by the Blue‐Action Project (European Union's Horizon 2020 research and innovation program, 727852, http://www.blue‐action.eu/index.php?id = 3498). The WHOI‐NCAR group is also supported by the US National Science Foundation (NSF) ...
format Article in Journal/Newspaper
author Liang, Yu‐Chiao
Kwon, Young-Oh
Frankignoul, Claude
Danabasoglu, Gokhan
Yeager, Stephen G.
Cherchi, Annalisa
Gao, Yongqi
Gastineau, Guillaume
Ghosh, Rohit
Matei, Daniela
Mecking, Jennifer V.
Peano, Daniele
Suo, Lingling
Tian, Tian
spellingShingle Liang, Yu‐Chiao
Kwon, Young-Oh
Frankignoul, Claude
Danabasoglu, Gokhan
Yeager, Stephen G.
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
author_facet Liang, Yu‐Chiao
Kwon, Young-Oh
Frankignoul, Claude
Danabasoglu, Gokhan
Yeager, Stephen G.
Cherchi, Annalisa
Gao, Yongqi
Gastineau, Guillaume
Ghosh, Rohit
Matei, Daniela
Mecking, Jennifer V.
Peano, Daniele
Suo, Lingling
Tian, Tian
author_sort Liang, Yu‐Chiao
title 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_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_sort quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations
publisher American Geophysical Union
publishDate 2019
url https://hdl.handle.net/1912/25579
long_lat ENVELOPE(23.924,23.924,66.145,66.145)
geographic Arctic
Suo
geographic_facet Arctic
Suo
genre Arctic
Arctic
Sea ice
genre_facet Arctic
Arctic
Sea ice
op_source Liang, Y., Kwon, Y., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J., V., Peano, D., Suo, L., & Tian, T. (2020). Quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations. Geophysical Research Letters, 47(1), e2019GL085397.
doi:10.1029/2019GL085397
op_relation https://doi.org/10.1029/2019GL085397
Liang, Y., Kwon, Y., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J., V., Peano, D., Suo, L., & Tian, T. (2020). Quantification of the arctic sea ice-driven atmospheric circulation variability in coordinated large ensemble simulations. Geophysical Research Letters, 47(1), e2019GL085397.
https://hdl.handle.net/1912/25579
doi:10.1029/2019GL085397
op_rights Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1029/2019GL085397
container_title Geophysical Research Letters
container_volume 47
container_issue 1
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