| 基于TMI产品资料对数值模式水凝物模拟能力的检验分析 |
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| 引用本文： | 衡志炜,宇如聪,傅云飞,等.基于TMI产品资料对数值模式水凝物模拟能力的检验分析[J].大气科学,2011,35(3):506-518. |
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| 作者姓名： | 衡志炜 宇如聪 傅云飞 等 |
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| 作者单位： | 1.中国科学技术大学地球与空间科学学院, 合肥,230026 |
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| 基金项目： | 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 |
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| 摘 要： | 本文利用热带测雨卫星(Tropical Rainfall Measuring Mission,TRMM)搭载微波成像仪(TRMM Microwave 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-coo...
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| 关 键 词： | AREM模式 WRF模式 TRMM搭载微波成像仪(TMI) 微波亮温 数值模式评估 |
Evaluation and Analysis of Simulation Capability of Hydrometeor Variables in Numerical Models Based on TMI Products |
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| Heng Zhiwei,Yu Rucong,Fu Yunfei and et al.Evaluation and Analysis of Simulation Capability of Hydrometeor Variables in Numerical Models Based on TMI Products[J].Chinese Journal of Atmospheric Sciences,2011,35(3):506-518. |
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| Authors: | Heng Zhiwei Yu Rucong Fu Yunfei and |
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| Institution: | 1.School of Earth and Space Sciences, University of Science and Technology of China, Hefei,2300262.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing,100081 |
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| Abstract: | 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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| Keywords: | Advanced Regional Eta-coordinate Model (AREM) Weather Research and Forecasting (WRF) TRMM Microwave Imager (TMI) brightness temperature model evaluation |
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