| Impacts of TRMM SRR assimilation on the numerical prediction of tropical cyclone |
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| 作者姓名： | MA Leiming QIN Zenghao DUAN Yihong LIANG Xudong WANG Dongliang |
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| 作者单位： | MA Leiming~ 1，2*，QIN Zenghao~ 1，DUAN Yihong~ 1，LIANG Xudong~ 1，WANG Dongliang~ 1 1. Laboratory of Typhoon Forecast Technique/China Meteorological Administration，Shanghai Typhoon Institute，Shanghai 200030，China 2. Department of Atmospheric Sciences，Nanjing University，Nanjing 210093，China |
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| 基金项目： | 国家自然科学基金;清华大学校科研和教改项目 |
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| 摘 要： | 1 IntroductionObservation of the tropical rainfall is crucial forthe research on tropical weather and climate. Nu-merous studies have shown that the ingestion of rain-fall data into a numerical model can have considera-ble impacts on simulation results(Kr…
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| 关 键 词： | TRMM 海面降水率 热带气旋 2001年 丹娜斯台风 四维变分同化 数值模拟 |
| 收稿时间： | 2006-01-17 |
| 修稿时间： | 2006-05-05 |
Impacts of TRMM SRR assimilation on the numerical prediction of tropical cyclone |
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| MA Leiming,QIN Zenghao,DUAN Yihong,LIANG Xudong,WANG Dongliang.Impacts of TRMM SRR assimilation on the numerical prediction of tropical cyclone[J].Acta Oceanologica Sinica,2006,25(5):14-26. |
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| Authors: | MA Leiming QIN Zenghao DUAN Yihong LIANG Xudong and WANG Dongliang |
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| Institution: | 1.Laboratory of Typhoon Forecast Technique/China Meteorological Administration, Shanghai Typhoon Institute, Shanghai 200030, China;Department of Atmospheric Sciences, Nanjing University, Nanjing 210093, China2.Laboratory of Typhoon Forecast Technique/China Meteorological Administration, Shanghai Typhoon Institute, Shanghai 200030, China |
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| Abstract: | Impacts of the four-dimensional variation (4DVAR) assimilation of Tropical Rainfall Measuring Mission (TRMM)/TMI surface rainfall rate (SRR) on the initialization and simulation of TC Danas in 2001 are studied. A number of sensitivity experiments are designed to evaluate the performance of assimilation during the particular stage when Danas developed from a tropical depression towards a typhoon, as well as an abrupt turning. Under the dynamic and thermodynamic constraints of meso-scale model and the 4DVAR, the TRMM SRR data are directly assimilated in high horizontal resolution (18 km). On the basis of the adjustment of initial model field, 4DVAR of TRMM SRR considerably improved the depiction of TC's structure and rainfall. The same explanation can also be given to the enhancement of simulation on TC's intensity and track. In comparison with the popular idea of twice steps of SRR assimilation, namely, 4DVAR plus 1DVAR, the retrieval error is expected to be avoided in the procedure of direct 4DVAR. In addition, the TRMM SRR 4DVAR within a high-resolution model can take into account as much information as observed and is expected to be performed in operational use if the observed rainfall data are routinely available. |
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| Keywords: | TRMM TC Danas 4DVAR rainfall numerical simulation |
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