Impact of altimetry data on ENSO ensemble initializations and predictions

IOCAS-IR > 海洋环流与波动重点实验室

	Impact of altimetry data on ENSO ensemble initializations and predictions
	Zheng Fei; Zhu Jiang; Zhang Ronghua
	2007-07-13
发表期刊	GEOPHYSICAL RESEARCH LETTERS
卷号	34 期号:13 页码:L13611
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.
关键词	El-nino Sea-level Data Assimilation Model Pacific Ocean Predictability Currents
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/18154
专题	海洋环流与波动重点实验室
推荐引用方式 GB/T 7714	Zheng Fei,Zhu Jiang,Zhang Ronghua. Impact of altimetry data on ENSO ensemble initializations and predictions[J]. GEOPHYSICAL RESEARCH LETTERS,2007,34(13):L13611.
APA	Zheng Fei,Zhu Jiang,&Zhang Ronghua.(2007).Impact of altimetry data on ENSO ensemble initializations and predictions.GEOPHYSICAL RESEARCH LETTERS,34(13),L13611.
MLA	Zheng Fei,et al."Impact of altimetry data on ENSO ensemble initializations and predictions".GEOPHYSICAL RESEARCH LETTERS 34.13(2007):L13611.

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