期刊文献+

TRMM降水率资料的三维变分同化及其对“杜鹃”(0313)台风预报的改进 被引量:22

3D-Var Assimilation of TRMM Rain Rate and Its Impact on the Typhoon Dujuan (0313) Forecast
下载PDF
导出
摘要 在GRAPES(GlobalandRegionalAssimilationandPredictionEnhancedSystem,全球/区域同化预报系统)三维变分同化系统的基础上,用改进的郭晓岚对流参数化方案作为观测算子,来同化TRMM(TropicalRainfallMeasuringMission,热带降水监测计划)卫星反演的降水率资料。单点试验表明该方案通过调整背景场的水汽辐合和辐散的垂直结构,使得同化后观测算子计算的降水率更接近实况。对台风“杜鹃”(0313)的同化试验表明,该方案有效改进背景场的动力和热力结构,使台风的初始风场、降水结构更接近实况。通过控制试验和同化试验的对比,表明同化TRMM卫星降水率资料对台风的路径预报和降水预报都有改进。 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.
出处 《大气科学》 CSCD 北大核心 2005年第4期600-608,共9页 Chinese Journal of Atmospheric Sciences
基金 "十五"国家重点科技攻关计划项目2001BA607B 科技部重点公益性研究项目2001DIA20026 台风研究基金课题
关键词 TRMM卫星降水率 三维变分同化 台风预报 TRMM rain rate, 3D variational assimilation, typhoon forecast
  • 相关文献

参考文献12

  • 1Pu Zhaoxia, Tao Wei-Kuo, Braun S, et al. The impact of TRMM data on mesoscale numerical simulation of Supertyphoon Paka. Mon. Wea. Rev., 2002, 130(10): 2448~2458.
  • 2丁伟钰,林爱兰.GMS5多通道数据与TRMM资料估测华南地区热带气旋降水[J].热带气象学报,2003,19(B09):74-80. 被引量:18
  • 3Fiorino M, Warner T T. Incorporating surface winds and rainfall rates into the initialization of a mesoscale hurricane model. Mon. Wea. Rev., 1981, 109(9): 1914~1929.
  • 4Donner L J. An initialization for cumulus convection in numerical weather prediction models. Mon. Wea. Rev., 1988, 116(2): 377~385.
  • 5Krishnamurti T N, Ingles K, Cocke S, et al. Details of low latitude medium-range numerical weather prediction using a global spectra model. Part Ⅱ: Effects of orography and physical initialization. J. Meteor. Soc. Japan, 1984, 62: 613~649.
  • 6Krishnamurti T N, Bedi H S. Cumulus parameterization and rainfall rates: Part Ⅲ. Mon. Wea. Rev., 1988, 116(3): 583~599.
  • 7朱国富.观测资料同化与有限区模式初期降水预报[J].北京大学学报(自然科学版),1999,35(1):81-88. 被引量:12
  • 8Zupanski D, Mesinger F. Four-dimensional variational assimilation of precipitation data. Mon. Wea. Rev., 1995, 123(4): 1112~1127.
  • 9Xiao Qingnong, Zou X, Kuo Y-H. Incorporating the SSM/I-Derived precipitable water and rainfall rate into a numerical model: A case study for the ERICA IOP-4 cyclone. Mon. Wea. Rev., 2000, 128(1): 87~108.
  • 10Krishnamurti N, Bounova L. An Introduction to Numerical Weather Prediction Techniques. CRC Press, 1996. 154~162.

二级参考文献23

  • 1张玉玲.十层有限区域细网格模式试验研究.《中期数值天气预报研究》成果汇编(一)[M].北京:气象出版社,1990..
  • 2郝永斌.一个有限区域模式的四维同化过程试验研究(硕士毕业论文)[M].北京大学地球物理图书室,1991..
  • 3VICENTE G A, ANDERSON J R. Retrieval of rainfall rates from the combination of passive microwave radiometric measmements and infrared measurements[C ]. Prepr. 20th Conf. Hurricane and Tropical Meteorol, AMS, 1993, 151 - 154.
  • 4VICENTE G A, ANDERSON J R. A new rain retrieval technique that combines geosynchronous IR and MW polar orbit data for hourly rainfall estimates. Case Study: Kwajalein and TOGAICOARE[C]. Prepr. 7th Conf. Satellite Meteorology and Oceanography, AMS, 1994. 34-37.
  • 5TURK F J, MARZANO F S, SMITH E A. Combining geostationary and SSM/I data for rapid rain rate estimation and accumulation[C]. Prepr. 9th ConS Satellite Meteorology and Oceanography, AMS, 1998. 462-465.
  • 6TURK F J, SMITH E A, MARZANO F S, et al. Combining SSM/I, TRMM and infrared geostationary satellite data in a nearrealtime fashion for rapid precipitation updates: advantages and limitations[C]. Proc. The 2000 EUMETSA T Meteorological Satellite Data Users' Conference, 2000. 452-459.
  • 7HSU K -L, GAO X, SOROOSHIAN S, et al. Precipitation estimation from remotely sensed information using artificial neural networks[J]. J Appl Meteorol, 1997, 36: 1176-1190.
  • 8SOROOSHIAN S, HSU K -L, GAO X, et al. Evaluation of PERSIANN system satellite-based estimates of tropical rainfall[J].Bull Am Meteor Soc, 2000, 81: 2035-2046.
  • 9KURINO T. A satellite infrared technique for estimating “deep/shallow” convective and slratiform precipitation[J]. Adv Space Res, 1997, 19:511-514.
  • 10TJEMKES S A, L VAN DE BERG, SCHMETZ J. Warm water vapour pixels over high clouds as observed by METEOSAT[J]. Beitr Phys Atmosph, 1997, 70:15-21.

共引文献59

同被引文献381

引证文献22

二级引证文献255

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部