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首页> 外文会议>Conference on Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications >Impacts of all-sky assimilation of the FY-3C MWHS-2 observations on analysis and forecasts of typhoon precipitation
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Impacts of all-sky assimilation of the FY-3C MWHS-2 observations on analysis and forecasts of typhoon precipitation

机译：FY-3C MWHS-2观测值的全天候同化对台风降水分析和预报的影响

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The FY-3C MWHS-2 (Microwave Humidity Sounder-2) data have been assimilated in the ECMWF operational forecasting system showing small positive impacts on short-range forecasts. To assess the impacts of all-sky (i.e. clear, cloudy and precipitating) assimilation of MWHS-2 183 GHz channels on the analysis and forecasts of typhoon precipitation caused by Typhoon Nida which made landfall in Guangdong Province, China in 2016, three experiments (without MWHS-2 data, with MWHS-2 data in clear-sky conditions and with MWHS-2 data in all-sky conditions) have been carried out. RTTOV-SCATT, a fast Radiative Transfer Model for simulating cloud- and precipitation- affected microwave radiances, and a symmetric observation error model for all-sky radiance assimilation are implemented within the Weather Research and Forecasting model data assimilation system (WRFDA) and its three-dimension variational data assimilation scheme is used for all experiments. Compared with the experiment run without MWHS-2 data, the assimilation of MWHS-2 observations in clear-sky and all-sky conditions makes more accurate precipitation forecasts over the north-central Guangdong. Furthermore, compared with the clear-sky experiment, the precipitation distribution over the east of the Pearl River and the rainfall amount in the eastern Guangdong both are more close to the observations due to the improved temperature and humidity analysis by assimilating more cloud- and precipitation- affected radiances over the northern South China Sea and Typhoon Nida in all-sky experiment. Since the results in this study are very encouraging, more experiments are to be run to verify the positive impacts of all-sky assimilation on the prediction of severe weather processes.
机译：FY-3C MWHS-2（微波湿度探测器2）数据已在ECMWF运行预测系统中进行了吸收，对短期预测产生了较小的积极影响。为了评估MWHS-2 183 GHz频道的全天候（即晴朗，多云和降水）同化对2016年在中国广东省登陆的台风奈达造成的台风降水的分析和预报的影响，进行了三个实验（没有MWHS-2数据，在晴朗天空条件下具有MWHS-2数据和在全天空条件下具有MWHS-2数据）。在天气研究和预报模型数据同化系统（WRFDA）及其三个模型中，实现了RTTOV-SCATT，用于模拟受云和降水影响的微波辐射的快速辐射传输模型以及用于全天辐射同化的对称观测误差模型。维变分数据同化方案用于所有实验。与没有MWHS-2数据的实验相比，晴天和全天条件下MWHS-2观测值的同化使广东中北部的降水预报更加准确。此外，与晴空实验相比，珠江以东的降水分布和粤东的降水量都更接近观测值，这是因为通过吸收更多的云和降水而改进了温度和湿度分析-在全天空实验中影响了南海北部和台风奈达的辐射。由于这项研究的结果令人鼓舞，因此需要进行更多实验，以验证全天候同化对恶劣天气过程的预测的积极影响。

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