Use of the advanced microwave sounding unit data to improve typhoon prediction  

作　　者：Guo Deng Dalin Zhang Tong Zhu Angsheng Wang 

机构地区：[1]National Meteorological Center, Beijing 100081, China [2]Department of Atmospheric and Oceanic Science, University of Maryland, Maryland 20742, USA [3]Cooperative Institute for Research in the Atmosphere, Colorado State University, Colorado 80523, USA [4]Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

出　　处：《Progress in Natural Science:Materials International》2009年第3期369-376,共8页自然科学进展·国际材料（英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant No. 40505009);the Min-istry of Science and Technology and the Ministry of Finance of China (GYHY200706001);by the ChineseAcademy of Sciences (2005-2-16)

摘　　要：The effects of incorporating the advanced microwave sounding bogussing algorithm on typhoon prediction are examined through The AMSU-A data contain the vertical distribution of the retrieved unit （AMSU-A） data with a modified Zhu-Zhang-Weng vortex- the use of the PSU/NCAR Mesoscale Model version 5 （MM5）. temperature from satellite brightness temperature, with the geopo- tential height and wind fields derived through a series of statistical and diagnostic calculations. The advantages of the modified vortex- bogussing algorithm include the incorporation of realistic asymmetric typhoon structures, the balanced dynamics with the background field, the easiness to implement and the efficient computations. To test the efficiency of this vortex-bogussing algorithm, the Typhoon Dan event in 1999 is simulated by incorporating the derived AMSU-A fields into the initial conditions of the MM5 modeling system. Results show significant improvements in the track and intensity of the storm, as compared to the simulation without the AMSU-A data. Therefore, this modified vortex-bogussing algorithm can be easily implemented on any typhoon modeling system, which will improve the real-time forecast of tropical cyclones.The effects of incorporating the advanced microwave sounding unit (AMSU-A) data with a modified Zhu-Zhang-Weng vortex- bogussing algorithm on typhoon prediction are examined through the use of the PSU/NCAR Mesoscale Model version 5 (MM5). The AMSU-A data contain the vertical distribution of the retrieved temperature from satellite brightness temperature, with the geopo- tential height and wind fields derived through a series of statistical and diagnostic calculations. The advantages of the modified vortex- bogussing algorithm include the incorporation of realistic asymmetric typhoon structures, the balanced dynamics with the background field, the easiness to implement and the effcient computations. To test the effciency of this vortex-bogussing algorithm, the Typhoon Dan event in 1999 is simulated by incorporating the derived AMSU-A fields into the initial conditions of the MM5 modeling system. Results show significant improvements in the track and intensity of the storm, as compared to the simulation without the AMSU-A data. Therefore, this modified vortex-bogussing algorithm can be easily implemented on any typhoon modeling system, which will improve the real-time forecast of tropical cyclones.

关 键 词：AMSU Satellite retrieval Typhoon prediction 

分 类 号：P457.8[天文地球—大气科学及气象学] TP277[自动化与计算机技术—检测技术与自动化装置]