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Indian Ocean sst biases in a Flexible Regional Ocean Atmosphere Land System(FROALS) Model

Atmospheric and Oceanic Science Letters 2012年第4期5卷 273-279页

作者： HAN Zhen-Yu ZHOU Tian-Jun ZOU Li-Wei State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China Graduate University of the Chinese Academy of Sciences Beijing 100049 China

The authors examine the Indian Ocean sea surface temperature(sst) biases simulated by a Flexible Regional Ocean Atmosphere Land System(FROALS) *** regional coupled model exhibits pronounced cold sst biases in a large portion of the Indian Ocean warm *** biases in the net surface heat fluxes are evident in the model,leading to the cold biases of the *** analysis indicates that the negative biases in the net surface heat fluxes are mainly contributed by the biases of sensible heat and latent heat ***-surface meteorological variables that could contribute to the sst biases are also *** is found that the biases of sensible heat and latent heat flux are caused by the colder and dryer near-surface air in the model.

关键词： Indian Ocean sst biases FROALS evaluation

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Assessment of the Southern Ocean Sea Surface Temperature biases in CMIP5 and CMIP6 Models

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Journal of Ocean University of China 2024年第5期23卷 1135-1150页

作者： GAO Zhen ZHAO Shichang LIU Qinyu LONG Shang-Min SUN Shantong Key Laboratory of Marine Hazards Forecasting Ministry of Natural ResourcesHohai UniversityNanjing 210098China College of Oceanography Hohai UniversityNanjing 210098China Laoshan Laboratory Qingdao 266237China Physical Oceanography Laboratory Ocean University of ChinaQingdao 266100China

This work evaluates the performances of climate models in simulating the Southern Ocean(SO)sea surface temperature(sst)by a large ensemble from phases 5 and 6 of the Coupled Model Intercomparison Project(CMIP5 and CMIP6).By combining models from the same community sharing highly similar SO sst biases and eliminating the effect of global-mean biases on local sst biases,the results reveal that the ensemble-mean SO sst bias at 70°-30°S decreases from 0.38℃ in CMIP5 to 0.28℃ in CMIP6,together with increased intermodel *** dominant mode of the intermodel variations in the zonal-mean sst biases is characterized as a meridional uniform warm bias pattern,explaining 79.1% of the intermodel variance and exhibiting positive principal values for most *** ocean mixed layer heat budget further demonstrates that the sst biases at 70°-50°S primarily result from the excessive summertime heating effect from surface net heat *** biases in surface net heat flux south of 50°S are largely impacted by surface shortwave radiation from cloud and clear sky components at different *** of 50°S,the underestimated westerlies reduce the northward Ekman transport and hence northward cold advection in models,leading to warm sst biases *** addition,the westerly biases are primarily traced back to the atmosphere-alone model simulations forced by the observed sst and sea *** results disclose the thermal origin at the high latitude and dynamical origin at the low latitude of the SO sst biases and underscore the significance of the deficiencies of atmospheric models in producing the SO sst biases.

关键词： Southern Ocean CMIP5 CMIP6 sst biases surface heat flux westerlies atmospheric biases cloud simulation

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