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基于TMI产品资料对数值模式水凝物模拟能力的检验分析
  • 期刊名称:大气科学
  • 时间:0
  • 页码:506-518
  • 语言:中文
  • 分类:P412[天文地球—大气科学及气象学]
  • 作者机构:[1]中国科学技术大学地球与空间科学学院,合肥230026, [2]中国气象科学研究院灾害天气国家重点实验室,北京100081, [3]北京应用气象研究所,北京100029
  • 相关基金:国家公益性行业支撑项目GYHY200906002、GYHY200906003; 国家重点基础研究发展计划项目2010CB428601; 国家科技基础性工作专项2007FY110700; 中国科学院科技创新项目KZCX2-YW-Q11-04、KJCX2-YW-N25; 国家自然科学基金资助项目40730950; 灾害天气国家重点实验室基金
  • 相关项目:热带测雨卫星探测结果的融合及在暴雨降水结构和云参数分析中的应用研究
中文摘要:

本文利用热带测雨卫星(Tropical Rainfall Measuring Mission,TRMM)搭载微波成像仪(TRMMMi-crowave Imager,TMI)的探测及反演结果,结合微波辐射传输模式,就2004年17号台风暹芭(Chaba)过程,对AREM(Advanced Regional Eta-coordinate Model)模式和WRF(Weather Researchand Forecasting)模式的水凝物模拟能力进行了检验。分析表明,两个模式模拟的台风路径与实际台风路径基本一致,模拟的降水与TMI反演降水也基本相同。在此基础上,以AREM和WRF模式模拟的大气结构和水凝物结构作为微波辐射传输模式的输入参数,计算了相应大气层顶的微波亮温,通过对比该模拟亮温和TMI实测亮温的异同,尝试了对AREM和WRF模式水凝物结构的间接检验;最后,利用TMI水凝物反演产品直接检验了AREM、WRF模拟的水凝物结构。研究结果表明,AREM模拟的云水含量稍偏高,降冰含量稍偏低;WRF模拟的液相粒子分布范围较小,对冰粒子的模拟能力要好于AREM模式;两个模式对水汽的模拟都比较好。

英文摘要:

Based on the measured and retrieved products of the TMI(TRMM Microwave Imager) on board TRMM(Tropical Rainfall Measuring Mission) and combined with the microwave radiative transfer model,the simulation capability of hydrometeor variables of typhoon Chaba(0417) in the AREM(Advanced Regional Eta-coordinate Model) and the WRF(Weather Research and Forecasting) model is verified.First,the simulated track and rain of typhoon are studied and they are consistent with the best track and retrieved rain from the TMI,respectively.Then the simulated hydrometeor variables with the AREM and the WRF model are used as the input data of the microwave radiative transfer model to calculate microwave TBs(brightness temperatures).By comparing the simulated and measured TBs,the hydrometeor structures from the AREM and the WRF model are verified indirectly.Moreover,the hydrometeor structures are verified with the retrieved data from the TMI directly.The results show that,the content of cloud liquid water is overestimated by the AREM while the content of precipitation ice is underestimated.The WRF model underestimates the area of liquid hydrometeors,but the WRF model has better performance than AREM in the forecasting of frozen hydrometeors.Both the models perform well in the simulation of water vapor.

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