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Impact of FY-3D MWRI Radiance Assimilation in GRAPES 4DVar on Forecasts of Typhoon Shanshan

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Abstract

In this study, Fengyun-3D (FY-3D) MicroWave Radiation Imager (MWRI) radiance data were directly assimilated into the Global/Regional Assimilation and PrEdiction System (GRAPES) four-dimensional variational (4DVar) system. Quality control procedures were developed for MWRI applications by using algorithms from similar microwave instruments. Compared with the FY-3C MWRI, the bias of FY-3D MWRI observations did not show a clear node-dependent difference from the numerical weather prediction background simulation. A conventional bias correction approach can therefore be used to remove systematic biases before the assimilation of data. After assimilating the MWRI radiance data into GRAPES, the geopotential height and humidity analysis fields were improved relative to the control experiment. There was a positive impact on the location of the subtropical high, which led to improvements in forecasts of the track of Typhoon Shanshan.

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Acknowledgments

We acknowledge Dr Hao Chen from the Jiangsu Meteorological Bureau for providing the FY-3D/MWRI coefficient in RTTOV. We acknowledge Professor Fuzhong Weng for providing beneficial suggestions and editing the paper. We acknowledge Dr Jin Zhang for providing the code to calculate the typhoon track from the output data of GRAPES_GFS. We also acknowledge helpful discussions with Dr Shengli Wu and PhD student Ruoying Yin.

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Authors and Affiliations

  1. Numerical Weather Prediction Center, China Meteorological Administration, Beijing, 100081, China

    Hongyi Xiao, Wei Han, Hao Wang, Jincheng Wang & Guiqing Liu

  2. National Meteorological Center, China Meteorological Administration, Beijing, 100081, China

    Hongyi Xiao, Wei Han, Hao Wang, Jincheng Wang & Guiqing Liu

  3. Tai’an City Meteorological Bureau, Shandong Meteorological Bureau, Tai’an, 271000, China

    Changshan Xu

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  1. Hongyi Xiao
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Correspondence to Wei Han.

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Supported by the National Natural Science Foundation of China (41675108), National Key Research and Development Program (2018YFC1506700), and Second Tibetan Plateau Scientific Expedition and Research Program (2019QZKK0105).

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Xiao, H., Han, W., Wang, H. et al. Impact of FY-3D MWRI Radiance Assimilation in GRAPES 4DVar on Forecasts of Typhoon Shanshan. J Meteorol Res 34, 836–850 (2020). https://doi.org/10.1007/s13351-020-9122-x

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