{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T04:08:18Z","timestamp":1773461298343,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T00:00:00Z","timestamp":1681689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42030605"],"award-info":[{"award-number":["42030605"]}]},{"name":"National Natural Science Foundation of China","award":["42175069"],"award-info":[{"award-number":["42175069"]}]},{"name":"National Natural Science Foundation of China","award":["202210300004Z"],"award-info":[{"award-number":["202210300004Z"]}]},{"name":"College Students\u2019 Practice Innovation Training Program of Jiangsu Province, NUIST Students\u2019 Platform for Innovation and Entrepreneurship Training Program","award":["42030605"],"award-info":[{"award-number":["42030605"]}]},{"name":"College Students\u2019 Practice Innovation Training Program of Jiangsu Province, NUIST Students\u2019 Platform for Innovation and Entrepreneurship Training Program","award":["42175069"],"award-info":[{"award-number":["42175069"]}]},{"name":"College Students\u2019 Practice Innovation Training Program of Jiangsu Province, NUIST Students\u2019 Platform for Innovation and Entrepreneurship Training Program","award":["202210300004Z"],"award-info":[{"award-number":["202210300004Z"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The lagged relationship between Kara\u2013Barents sea ice and summer precipitation in eastern China is evaluated for Chinese models participating in phase 6 of the Coupled Model Intercomparison Project (CMIP6). A previous study revealed a dipole rainfall structure in eastern China related to winter Arctic sea ice variability. Almost all Chinese CMIP6 models reproduce the variability and climatology of the sea ice in most of the Arctic well except the transition regions with evident biases. Further, all Chinese CMIP6 models successfully simulate the decreasing trend for the Kara\u2013Barents sea ice. The dipole centers located in the Yangtze\u2013Huai River Valley (YHRV) and South China (SC) related to Kara\u2013Barents sea ice variability are simulated with different degrees of success. The anomalous dipole rainfall structure related to the winter Kara\u2013Barents sea ice variability can roughly be reproduced by two models, while other models reproduce a shifted rainfall anomaly pattern or with the sign reversed. The possible delayed influence of sea ice forcing on early summer precipitation in China is established via three possible processes: the long memory of ice, the long-lasting stratospheric anomalies triggered by winter sea ice forcing, and the downward impact of the stratosphere as the mediator. Most Chinese models can simulate the negative Northern Hemisphere Annular Mode (NAM) phase in early winter but fail to reproduce the reversal of the stratospheric anomalies to a positive NAM pattern in spring and early summer. Most models underestimate the downward impact from the stratosphere to the troposphere. This implies that the stratospheric pathway is essential to mediate the winter sea ice forcing and rainfall in early summer over China for CMIP6 models.<\/jats:p>","DOI":"10.3390\/rs15082111","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T04:45:32Z","timestamp":1681706732000},"page":"2111","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Lagged Linkage between the Kara\u2013Barents Sea Ice and Early Summer Rainfall in Eastern China in Chinese CMIP6 Models"],"prefix":"10.3390","volume":"15","author":[{"given":"Huidi","family":"Yang","sequence":"first","affiliation":[{"name":"Key Laboratory of Meteorological Disaster of Ministry of Education, ILCEC, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Jian","family":"Rao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Meteorological Disaster of Ministry of Education, ILCEC, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Haohan","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Meteorological Disaster of Ministry of Education, ILCEC, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3240-1098","authenticated-orcid":false,"given":"Qian","family":"Lu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Meteorological Disaster of Ministry of Education, ILCEC, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Jingjia","family":"Luo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Meteorological Disaster of Ministry of Education, ILCEC, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1175\/1520-0442(1995)008<0240:SIACFM>2.0.CO;2","article-title":"Sea ice-albedo climate feedback mechanism","volume":"8","author":"Curry","year":"1995","journal-title":"J. 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