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Evaluation of Ocean Data Assimilation in CAS-ESM-C:Constraining the SST Field 被引量:3
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作者 Xiao DONG Renping LIN +1 位作者 Jiang ZHU zeting lu 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2016年第7期795-807,共13页
A weakly coupled assimilation system, in which SST observations are assimilated into a coupled climate model (CAS- ESM-C) through an ensemble optimal interpolation scheme, was established. This system is a useful to... A weakly coupled assimilation system, in which SST observations are assimilated into a coupled climate model (CAS- ESM-C) through an ensemble optimal interpolation scheme, was established. This system is a useful tool for historical climate simulation, showing substantial advantages, including maintaining the atmospheric feedback, and keeping the oceanic tields from drifting far away from the observation, among others. During the coupled model integration, the bias of both surface and subsurface oceanic fields in the analysis can be reduced compared to unassimilated fields. Based on 30 model years of ot.tput fiom the system, the climatology and imerannual variability of the climate system were evaluated. The results showed that the system can reasonably reproduce the climatological global precipitation and SLP, bul it still sutters from the double ITCZ problem. Besides, the ENSO footprint, which is revealed by ENSO-related surface air temperature, geopotential height and precipitation during El Nifio evolution, is basically reproduced by the system. The system can also simulate the observed SST-rainfall relationships well on both interannual and intraseasonal timescales in the western North Pacific region, in which atmospheric feedback is crucial for climate simulation. 展开更多
关键词 ocean data assimilation ensemble optimal interpolation CAS-ESM-C ENSO footprint atmospheric feedback air-sea interaction western North Pacific
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