Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall

Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall
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POD-3DEnVar方法同化FY-3A卫星MWHS和MWTS辐射数据进行暴雨预报

DOI:
10.1016/j.atmosres.2018.12.023
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发表时间:
2019-05
影响因子:
5.5
通讯作者:
You Wei
You Wei
中科院分区:
地球科学1区
文献类型:
--
作者:
Zhang Mingyang;Zhang Lifeng;Zhang Bin;Guan Jiping;You Wei

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基于正交分解的集合三维变分同化方法(POD-3DEnVar)不仅可以通过短期预报集合的演变提供与气流相关的协方差,而且可以直接得到分析场,无需迭代过程。采用POD-3DEnVar方法,以社区辐射传输模式(CRTM)为观测算子,构造了一个区域混合变分集合资料同化系统(POD-HVEDAS)。利用POD-HVEDAS将风云三号A上的微波湿度探测仪(MWHS)和微波温度探测仪(MWTS)的观测资料同时同化到天气研究预报模式(WRF)中。系统采用了MWHS和MWTS微波辐射率的偏差校正和质量控制方案。设计了3个试验(Con、Hybrid-DA和POD-DA),研究了POD-HVEDAS对长江流域暴雨的同化能力。比较了POD-3DEnVar和WRFDA-Hybrid同化方法的同化效果。结果表明,POD-HVEDAS能有效同化MWHS和MWTS微波辐射,较WRFDA-Hybrid方法提供更好的降水预报。结果表明,POD-3DEnVar和WRFDA-Hybrid方法的同化增量均表现出明显的流场依赖性。POD-DA试验对背景风场、温度场和湿度场的改善效果明显优于Hybrid-DA试验,这对提高降水预报的准确性起到了关键作用。这些有希望的结果表明,使用同化微波辐射的POD-3DEnVar方法初始化有限区域模型是有益的。未来将使用POD-3DEnVar方法研究多个病例,以全面评估POD-HVEDAS的稳健性。
An ensemble three-dimensional variational assimilation method based on Proper Orthogonal Decomposition (referred to as POD-3DEnVar) can not only provide flow-dependent covariances through the evolving ensemble of short-range forecasts, but also obtain directly the analysis field without an iterative process. Using the POD-3DEnVar method, a regional hybrid variational ensemble data assimilation system (referred to as POD-HVEDAS) is constructed with the Community Radiative Transfer Model (CRTM) as the observation operator. Observations from Microwave Humidity Sounder (MWHS) and Microwave Temperature Sounder (MWTS) onboard Fengyun-3A are simultaneously assimilated into the Weather Research and Forecasting (WRF) model by the POD-HVEDAS. Bias correction and quality control schemes for MWHS and MWTS microwave radiance are applied in the system. Three experiments (Con, Hybrid-DA, and POD-DA) are designed to investigate the assimilation ability of the POD-HVEDAS for heavy rainfall over the Yangtze River. The assimilation effects of POD-3DEnVar and WRFDA-Hybrid assimilation method are compared. The results show that the POD-HVEDAS can assimilate MWHS and MWTS microwave radiance effectively, and give a better precipitation forecast than that of the WRFDA-Hybrid method. And it is found that the assimilation increments of both POD-3DEnVar and WRFDA-Hybrid methods all show flow dependent characteristic. However, the improvements in the background wind, temperature and humidity fields by the POD-DA experiment are more obvious than those of the Hybrid-DA experiment, which play key roles in improving the accuracy of precipitation forecast. These promising results suggest initiulizing limited-area models with POD-3DEnVar method that assimilate microwave radiances is beneficial. In the future, POD-3DEnVar method will be used to study multiple cases to fully assess the robustness of POD-HVEDAS.
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