中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improving ENSO prediction in a hybrid coupled model with an embedded entrainment temperature parameterisation

文献类型:期刊论文

作者Zhang Ronghua
刊名INTERNATIONAL JOURNAL OF CLIMATOLOGY
出版日期2013-02
卷号33期号:2页码:343-355
关键词ENSO prediction entrainment temperature parameterization OGCM
中文摘要    Improving El Nino/Southern Oscillation (ENSO) forecast remains a g reat challenge in the climate-predicting community. Previously, an improved solution to sea surface temperature (SST) anomaly simulations in the tropical Pacific was obtained by explicitly embedding into an ocean general circulation model (OGCM) a separate SST anomaly submodel with an empirical parameterisation for the temperature of subsurface water entrained into the ocean mixed layer (Te). In the present work, the benefit of the approach is explored and demonstrated in terms of ENSO prediction. A hybrid coupled ocean-atmosphere model (HCM) is utilized to perform two retrospective ENSO forecasts, differing in the way SST anomaly fields are taken for their coupling to the atmosphere, one directly from the OGCM (referred to as a standard coupling, HCMstd), and another from the embedded SST anomaly submodel with optimized Te parameterisation (referred to as an embedded coupling, HCMembed). The results indicate that ENSO forecasts can be effectively improved using the embedded approach; the predicted Nino-3.4 SST anomaly correlation is higher by 0.1-0.2 at a 12-month lead time in the HCMembed than in the HCMstd, and the corresponding root-mean-square (RMS) error is lower by 0.1-0.2 degrees C. Further improvements and applications are discussed. 
收录类别SCI
语种英语
公开日期2014-08-26
源URL[http://ir.qdio.ac.cn/handle/337002/18159]  
专题海洋研究所_海洋环流与波动重点实验室
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Zhang Ronghua. Improving ENSO prediction in a hybrid coupled model with an embedded entrainment temperature parameterisation[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2013,33(2):343-355.
APA Zhang Ronghua.(2013).Improving ENSO prediction in a hybrid coupled model with an embedded entrainment temperature parameterisation.INTERNATIONAL JOURNAL OF CLIMATOLOGY,33(2),343-355.
MLA Zhang Ronghua."Improving ENSO prediction in a hybrid coupled model with an embedded entrainment temperature parameterisation".INTERNATIONAL JOURNAL OF CLIMATOLOGY 33.2(2013):343-355.

入库方式: OAI收割

来源:海洋研究所

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