中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Impact of altimetry data on ENSO ensemble initializations and predictions

文献类型:期刊论文

作者Zhang Ronghua
刊名GEOPHYSICAL RESEARCH LETTERS
出版日期2007-07-13
卷号34期号:13页码:L13611
关键词EL-NINO SEA-LEVEL DATA ASSIMILATION MODEL PACIFIC OCEAN PREDICTABILITY CURRENTS
中文摘要    The El Nino/Southern Oscillation (ENSO) predictions strongly depend on the accuracy and dynamical consistency of the coupled initial conditions. Based on the proposed ensemble Kalman filter (EnKF), a new initialization scheme for the ENSO ensemble prediction system (EPS) was designed and tested in an intermediate coupled model (ICM). The inclusion of this scheme in the ICM leads to substantial improvements in ENSO prediction skill via the successful assimilation of both observed sea surface temperature ( SST) and TOPEX/Poseidon/ Jason- 1 (T/P/J) altimeter data into the initial ensemble conditions. Comparisons with the original ensemble hindcast experiment show that the ensemble prediction skills were significantly improved out to a 12- month lead time by improving sea level ( SL) initial conditions for better parameterization of subsurface thermal effects. It is clearly demonstrated that improvement in forecast skill can result from the multivariate and multiobservational ensemble data assimilation.
收录类别SCI
语种英语
公开日期2014-08-26
源URL[http://ir.qdio.ac.cn/handle/337002/18154]  
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. Impact of altimetry data on ENSO ensemble initializations and predictions[J]. GEOPHYSICAL RESEARCH LETTERS,2007,34(13):L13611.
APA Zhang Ronghua.(2007).Impact of altimetry data on ENSO ensemble initializations and predictions.GEOPHYSICAL RESEARCH LETTERS,34(13),L13611.
MLA Zhang Ronghua."Impact of altimetry data on ENSO ensemble initializations and predictions".GEOPHYSICAL RESEARCH LETTERS 34.13(2007):L13611.

入库方式: OAI收割

来源:海洋研究所

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