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...
Published in: | Geophysical Research Letters |
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American Geophysical Union
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Online Access: | https://hdl.handle.net/1912/25579 |
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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 |
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Open Polar |
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Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) |
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ftwhoas |
language |
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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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1766298501547819008 |