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作 者:Chao Min Qinghua Yang Hao Luo Dake Chen Thomas Krumpen Nabir Mamnun Xiaoyu Liu Lars Nerger
机构地区:[1]School of Atmospheric Sciences,Sun Yat-sen University,and Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai,China [2]Alfred Wegener Institute,Helmholtz Centre for Polar and Marine Research,Bremerhaven,Germany
出 处:《Ocean-Land-Atmosphere Research》2023年第1期298-308,共11页海洋-陆地-大气研究(英文)
基 金:funded by the National Natural Science Foundation of China(nos.41922044 and 41941009);the National Key R&D Program of China(no.2022YFE0106300);the Guangdong Basic and Applied Basic Research Foundation(no.2020B1515020025);the fundamental research funds for the Norges Forskningsråd(no.328886);support from the China Scholarship Council(no.202006380131);funding support from the Helmholtz Initiative and Networking Fund pilot project Uncertainty Quantification-From Data to Reliable Knowledge(Helmholtz-UQ).
摘 要:Rapidly shrinking Arctic sea ice has had substantial impacts on the Earth system.Therefore,reliably estimating the Arctic sea-ice thickness(SIT)using a combination of available observations and numerical modeling is urgently needed.Here,for the first time,we assimilate the latest CryoSat-2 summer SIT data into a coupled ice-ocean model.In particular,an incremental analysis update scheme is implemented to overcome the discontinuity resulting from the combined assimilation of biweekly SIT and daily sea-ice concentration(SIC)data.Along with improved estimates of sea-ice volume,our SIT estimates corrected the overestimation of SIT produced by the reanalysis that assimilates only SIC in summer in areas where the sea ice is roughest and experiences strong deformation,e.g.,around the Fram Strait and Greenland.This study suggests that the newly developed CryoSat-2 SIT product,when assimilated properly using our approach,has great potential for Arctic sea-ice simulation and prediction.
关 键 词:prediction ARCTIC CryoSat
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