globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-014-2281-7
Scopus记录号: 2-s2.0-85028131218
论文题名:
Improved air–sea flux algorithms in an ocean–atmosphere coupled model for simulation of global ocean SST and its tropical Pacific variability
作者: Ma Y.; Zhou X.; Bi D.; Sun Z.; Hirst A.C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 44, 期:2017-05-06
起始页码: 1473
结束页码: 1485
语种: 英语
英文关键词: Air–sea exchange ; ENSO ; SST ; Tropical variability
英文摘要: A revised algorithm for air–sea exchange parameterization of momentum, sensible and latent heat flux improves the climate simulation of the global distribution of sea surface temperature (SST) and tropical Pacific variability of SST. Based upon an analysis of studies from field programs, we apply the revised algorithm with new expressions for surface momentum and scalar roughness length dependent on 10-m winds in neutral condition, and evaluate them in the ocean–atmosphere coupled model of the Australian Community Climate and Earth-System Simulator. The revised algorithm improves simulations for mean global SST distribution, demonstrated with Pearson’s correlation indices showing corrections to a net fraction of 28 % over the global oceans. Being focused on the tropical Pacific, the algorithm eases the tropical SST cold tongue bias, and improves predictability of ENSO variability with better representations of the standard deviation of the Nino-3.4 index, especially the skewness of the index for nonlinearity of ENSO variability. Bjerknes and thermodynamical feedbacks are applied to understand the effects of the revised algorithm on the predictability of the Nino indices. © 2014, Springer-Verlag Berlin Heidelberg.
资助项目: CSIRO, Commonwealth Scientific and Industrial Research Organisation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54155
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作者单位: Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, Melbourne, Australia

Recommended Citation:
Ma Y.,Zhou X.,Bi D.,et al. Improved air–sea flux algorithms in an ocean–atmosphere coupled model for simulation of global ocean SST and its tropical Pacific variability[J]. Climate Dynamics,2015-01-01,44(2017-05-06)
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