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
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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 |
推荐引用方式 GB/T 7714 | 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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