3D-Var Assimilation of TRMM Rain Rate and Its Impact on the Typhoon Dujuan (0313) Forecast
3D-Var Assimilation of TRMM Rain Rate and Its Impact on the Typhoon Dujuan (0313) Forecast
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发表时间：
2005
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通讯作者：
D. Wei
中科院分区：
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作者：
D. Wei
中国气象科学研究院发布了GRAPES（Global and Regional Assimilation and Prediction Enhanced System）3D-VAR同化系统。本研究利用扩展的KUO积云参数方案作为观测算子，在GRAPES 3D-VAR系统上同化TRMM降水率。单站试验表明，该算法可以根据观测算子计算结果与TRMM（Tropical Rainfall Measuring使命任务）降雨率的差异，调整水汽辐合的垂直背景结构。同化后，观测人员可以使用分析场获得更准确的降雨率。在0313号台风杜鹃的预报试验中，同化算法可以调整背景场的动力和热力结构，得到更真实的风场和降水结构。与对照试验相比，同化TRMM雨率对台风杜鹃的路径和降水预报有一定的改善作用。
The GRAPES (Global and Regional Assimilation and Prediction Enhanced System) 3D-VAR assimilation system has been released by Chinese Academy of Meteorological Sciences. This study uses the extension of the KUO cumulus parameter scheme as the observation operator to assimilate the TRMM rain rate on the GRAPES 3D-VAR system. Single observation tests show that this algorithm can adjust the vertical background structure of the moisture convergence depending on the difference between the observation operator calculation and the TRMM (Tropical Rainfall Measuring Mission) rain rate. After the assimilation, the observation operator can obtain more accurate rain rate using the analysis field. In the experiment of forecasting typhoon Dujuan (0313), the assimilation algorithm can adjust the dynamic and thermodynamic structure of the background field and obtain more realistic wind and precipitation structure. Compared with the control test, assimilating TRMM rain rate can improve the typhoon Dujuan’s track and precipitation forecast.