| 发展基于集合样本估计的SST张驰逼近方法用于气候模式的次表层海温场订正 |
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| 引用本文： | 陈幸荣,王慧,郑飞,蔡其发.发展基于集合样本估计的SST张驰逼近方法用于气候模式的次表层海温场订正[J].海洋学报(英文版),2020,39(3):73-80. |
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| 作者姓名： | 陈幸荣 王慧 郑飞 蔡其发 |
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| 作者单位： | 国家海洋环境预报中心, 北京, 100081,国家气象中心, 北京, 100081,中国科学院大气物理研究所, 北京, 100029,中国人民解放军61741部队, 北京 100094 |
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| 基金项目： | The National Key R&D Program of China under contract No. 2017YFA0604201; the National Natural Science Foundation of China under contract Nos 41876012 and 41861144015. |
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| 摘 要： | An ensemble-based assimilation method is proposed for correcting the subsurface temperature field when nudging the sea surface temperature(SST) observations into the Max Planck Institute(MPI) climate model,ECHAM5/MPI-OM. This method can project SST directly to subsurface according to model ensemble-based correlations between SST and subsurface temperature. Results from a 50 year(1960–2009) assimilation experiment show the method can improve the subsurface temperature field up to 300 m compared to the qualitycontrolled subsurface ocean temperature objective analyses(EN4), through reducing the biases of the thermal states, improving the thermocline structure, and reducing the root mean square(RMS) errors. Moreover, as most of the improvements concentrate over the upper 100 m, the ocean heat content in the upper 100 m(OHT100 m)is further adopted as a property to validate the performance of the ensemble-based correction method. The results show that RMS errors of the global OHT100 m convergent to one value after several times iteration,indicating this method can represent the relationship between SST and subsurface temperature fields well, and then improve the accuracy of the simulation in the subsurface temperature of the climate model.
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| 关 键 词： | ensemble-based nudging METHOD ECHAM5/MPI-OM SST assimilation simulation of SUBSURFACE temperature field |
| 收稿时间： | 2019/8/27 0:00:00 |
An ensemble-based SST nudging method proposed for correcting the subsurface temperature field in climate model |
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| Chen,Xingrong,Wang,Hui,Zheng,Fei,Cai,Qifa.An ensemble-based SST nudging method proposed for correcting the subsurface temperature field in climate model[J].Acta Oceanologica Sinica,2020,39(3):73-80. |
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| Authors: | Chen Xingrong Wang Hui Zheng Fei Cai Qifa |
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| Institution: | 1.National Marine Environmental Forecasting Center, Beijing 100081, China2.National Meteorological Center, Beijing 100081, China3.Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China4.Mailbox 5111, Beijing 100094, China |
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| Abstract: | An ensemble-based assimilation method is proposed for correcting the subsurface temperature field when nudging the sea surface temperature (SST) observations into the Max Planck Institute (MPI) climate model, ECHAM5/MPI-OM. This method can project SST directly to subsurface according to model ensemble-based correlations between SST and subsurface temperature. Results from a 50 year (1960-2009) assimilation experiment show the method can improve the subsurface temperature field up to 300 m compared to the quality-controlled subsurface ocean temperature objective analyses (EN4), through reducing the biases of the thermal states, improving the thermocline structure, and reducing the root mean square (RMS) errors. Moreover, as most of the improvements concentrate over the upper 100 m, the ocean heat content in the upper 100 m (OHT_100 m) is further adopted as a property to validate the performance of the ensemble-based correction method. The results show that RMS errors of the global OHT_100 m convergent to one value after several times iteration, indicating this method can represent the relationship between SST and subsurface temperature fields well, and then improve the accuracy of the simulation in the subsurface temperature of the climate model. |
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| Keywords: | ensemble-based nudging method ECHAM5/MPI-OM SST assimilation simulation of subsurface temperature field |
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