The three-dimensional variational data assimilation system of the Weather Research and Forecasting (WRF) model is used in this study to assimilate the INSAT-3D temperature and specific humidity profiles over west coast of India, Mumbai, during 0000 UTC of 11–12 July 2016. The analysis obtained after assimilation is compared with the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis. After ECMWF assimilation, the results of the rainfall predictions show improvement over the Indian region. Overall, the assimilation of INSAT-3D is compared with ECMWF analysis, which shows quite good improvement in temperature and humidity analysis. Positive improvements are noticed in 24-h WRF model-predicted rainfall on assimilation of INSAT-3D thermodynamic profiles over west coast of India, Mumbai.

中文翻译：

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WRF模型中对INSAT-3D卫星数据的同化

本研究中使用了天气研究与预报（WRF）模型的三维变分数据同化系统，以同化印度孟买西海岸7月11日至12日0000 UTC期间的INSAT-3D温度和特定湿度剖面。 2016年。同化后获得的分析结果与欧洲中距离天气预报中心（ECMWF）分析进行了比较。ECMWF吸收后，降雨预测的结果显示印度地区有所改善。总体而言，将INSAT-3D的同化与ECMWF分析进行了比较，这表明温度和湿度分析具有相当好的改进。孟买印度西海岸INSAT-3D热力剖面的同化作用，在24小时WRF模型预测的降雨中注意到了积极的改善。