Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts

This paper examines the ability of coupled global climate models to predict decadal variability of Arctic and Antarctic sea ice. We analyze decadal hindcasts/predictions of 11 Coupled Model Intercomparison Project Phase 5 (CMIP5) models. Decadal hindcasts exhibit a large multimodel spread in the sim...

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Published in:The Cryosphere
Main Authors: Yang, Chao-Yuan, Liu, Jiping, Hu, Yongyun, Horton, Radley M., Chen, Liqi, Cheng, Xiao
Other Authors: Yang, CY (reprint author), SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA., SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA., Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing, Peoples R China., Columbia Univ, Ctr Climate Syst Res, New York, NY USA., NASA Goddard Inst Space Studies, New York, NY USA., SOA, Inst Oceanog 3, Key Lab Global Change & Marine Atmospher Chem, Xiamen, Peoples R China., Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing, Peoples R China.
Format: Journal/Newspaper
Language:English
Published: CRYOSPHERE 2016
Subjects:
Online Access:https://hdl.handle.net/20.500.11897/458696
https://doi.org/10.5194/tc-10-2429-2016
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spelling ftpekinguniv:oai:localhost:20.500.11897/458696 2023-05-15T13:36:30+02:00 Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts Yang, Chao-Yuan Liu, Jiping Hu, Yongyun Horton, Radley M. Chen, Liqi Cheng, Xiao Yang, CY (reprint author), SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA. SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA. Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing, Peoples R China. Columbia Univ, Ctr Climate Syst Res, New York, NY USA. NASA Goddard Inst Space Studies, New York, NY USA. SOA, Inst Oceanog 3, Key Lab Global Change & Marine Atmospher Chem, Xiamen, Peoples R China. Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing, Peoples R China. 2016 https://hdl.handle.net/20.500.11897/458696 https://doi.org/10.5194/tc-10-2429-2016 en eng CRYOSPHERE CRYOSPHERE.2016,10(5),2429-2452. 1517144 1994-0416 http://hdl.handle.net/20.500.11897/458696 1994-0424 doi:10.5194/tc-10-2429-2016 WOS:000386774700001 SCI MERIDIONAL OVERTURNING CIRCULATION NORTH-ATLANTIC SOUTHERN-OCEAN CLIMATE MODEL BERING-SEA VARIABILITY PREDICTION TRENDS EXTENT TEMPERATURE Journal 2016 ftpekinguniv https://doi.org/20.500.11897/458696 https://doi.org/10.5194/tc-10-2429-2016 2021-08-01T11:03:13Z This paper examines the ability of coupled global climate models to predict decadal variability of Arctic and Antarctic sea ice. We analyze decadal hindcasts/predictions of 11 Coupled Model Intercomparison Project Phase 5 (CMIP5) models. Decadal hindcasts exhibit a large multimodel spread in the simulated sea ice extent, with some models deviating significantly from the observations as the predicted ice extent quickly drifts away from the initial constraint. The anomaly correlation analysis between the decadal hindcast and observed sea ice suggests that in the Arctic, for most models, the areas showing significant predictive skill become broader associated with increasing lead times. This area expansion is largely because nearly all the models are capable of predicting the observed decreasing Arctic sea ice cover. Sea ice extent in the North Pacific has better predictive skill than that in the North Atlantic (particularly at a lead time of 3-7 years), but there is a reemerging predictive skill in the North Atlantic at a lead time of 6-8 years. In contrast to the Arctic, Antarctic sea ice decadal hindcasts do not show broad predictive skill at any timescales, and there is no obvious improvement linking the areal extent of significant predictive skill to lead time increase. This might be because nearly all the models predict a retreating Antarctic sea ice cover, opposite to the observations. For the Arctic, the predictive skill of the multi-model ensemble mean outperforms most models and the persistence prediction at longer timescales, which is not the case for the Antarctic. Overall, for the Arctic, initialized decadal hindcasts show improved predictive skill compared to uninitialized simulations, although this improvement is not present in the Antarctic. NOAA Climate Program Office [NA15OAR4310163, NA14OAR4310216]; NSFC [41676185] SCI(E) ARTICLE cyang4@albany.edu 5 2429-2452 10 Journal/Newspaper Antarc* Antarctic Arctic Bering Sea North Atlantic Sea ice Southern Ocean Peking University Institutional Repository (PKU IR) Antarctic Arctic Bering Sea Pacific Southern Ocean The Antarctic The Cryosphere 10 5 2429 2452
institution Open Polar
collection Peking University Institutional Repository (PKU IR)
op_collection_id ftpekinguniv
language English
topic MERIDIONAL OVERTURNING CIRCULATION
NORTH-ATLANTIC
SOUTHERN-OCEAN
CLIMATE MODEL
BERING-SEA
VARIABILITY
PREDICTION
TRENDS
EXTENT
TEMPERATURE
spellingShingle MERIDIONAL OVERTURNING CIRCULATION
NORTH-ATLANTIC
SOUTHERN-OCEAN
CLIMATE MODEL
BERING-SEA
VARIABILITY
PREDICTION
TRENDS
EXTENT
TEMPERATURE
Yang, Chao-Yuan
Liu, Jiping
Hu, Yongyun
Horton, Radley M.
Chen, Liqi
Cheng, Xiao
Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts
topic_facet MERIDIONAL OVERTURNING CIRCULATION
NORTH-ATLANTIC
SOUTHERN-OCEAN
CLIMATE MODEL
BERING-SEA
VARIABILITY
PREDICTION
TRENDS
EXTENT
TEMPERATURE
description This paper examines the ability of coupled global climate models to predict decadal variability of Arctic and Antarctic sea ice. We analyze decadal hindcasts/predictions of 11 Coupled Model Intercomparison Project Phase 5 (CMIP5) models. Decadal hindcasts exhibit a large multimodel spread in the simulated sea ice extent, with some models deviating significantly from the observations as the predicted ice extent quickly drifts away from the initial constraint. The anomaly correlation analysis between the decadal hindcast and observed sea ice suggests that in the Arctic, for most models, the areas showing significant predictive skill become broader associated with increasing lead times. This area expansion is largely because nearly all the models are capable of predicting the observed decreasing Arctic sea ice cover. Sea ice extent in the North Pacific has better predictive skill than that in the North Atlantic (particularly at a lead time of 3-7 years), but there is a reemerging predictive skill in the North Atlantic at a lead time of 6-8 years. In contrast to the Arctic, Antarctic sea ice decadal hindcasts do not show broad predictive skill at any timescales, and there is no obvious improvement linking the areal extent of significant predictive skill to lead time increase. This might be because nearly all the models predict a retreating Antarctic sea ice cover, opposite to the observations. For the Arctic, the predictive skill of the multi-model ensemble mean outperforms most models and the persistence prediction at longer timescales, which is not the case for the Antarctic. Overall, for the Arctic, initialized decadal hindcasts show improved predictive skill compared to uninitialized simulations, although this improvement is not present in the Antarctic. NOAA Climate Program Office [NA15OAR4310163, NA14OAR4310216]; NSFC [41676185] SCI(E) ARTICLE cyang4@albany.edu 5 2429-2452 10
author2 Yang, CY (reprint author), SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA.
SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA.
Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing, Peoples R China.
Columbia Univ, Ctr Climate Syst Res, New York, NY USA.
NASA Goddard Inst Space Studies, New York, NY USA.
SOA, Inst Oceanog 3, Key Lab Global Change & Marine Atmospher Chem, Xiamen, Peoples R China.
Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing, Peoples R China.
format Journal/Newspaper
author Yang, Chao-Yuan
Liu, Jiping
Hu, Yongyun
Horton, Radley M.
Chen, Liqi
Cheng, Xiao
author_facet Yang, Chao-Yuan
Liu, Jiping
Hu, Yongyun
Horton, Radley M.
Chen, Liqi
Cheng, Xiao
author_sort Yang, Chao-Yuan
title Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts
title_short Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts
title_full Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts
title_fullStr Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts
title_full_unstemmed Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts
title_sort assessment of arctic and antarctic sea ice predictability in cmip5 decadal hindcasts
publisher CRYOSPHERE
publishDate 2016
url https://hdl.handle.net/20.500.11897/458696
https://doi.org/10.5194/tc-10-2429-2016
geographic Antarctic
Arctic
Bering Sea
Pacific
Southern Ocean
The Antarctic
geographic_facet Antarctic
Arctic
Bering Sea
Pacific
Southern Ocean
The Antarctic
genre Antarc*
Antarctic
Arctic
Bering Sea
North Atlantic
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctic
Arctic
Bering Sea
North Atlantic
Sea ice
Southern Ocean
op_source SCI
op_relation CRYOSPHERE.2016,10(5),2429-2452.
1517144
1994-0416
http://hdl.handle.net/20.500.11897/458696
1994-0424
doi:10.5194/tc-10-2429-2016
WOS:000386774700001
op_doi https://doi.org/20.500.11897/458696
https://doi.org/10.5194/tc-10-2429-2016
container_title The Cryosphere
container_volume 10
container_issue 5
container_start_page 2429
op_container_end_page 2452
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