Articles | Volume 21, issue 5
Nat. Hazards Earth Syst. Sci., 21, 1569–1582, 2021
https://doi.org/10.5194/nhess-21-1569-2021

Special issue: Remote sensing and Earth observation data in natural hazard...

Nat. Hazards Earth Syst. Sci., 21, 1569–1582, 2021
https://doi.org/10.5194/nhess-21-1569-2021

Research article 25 May 2021

Research article | 25 May 2021

Assimilation of Himawari-8 imager radiance data with the WRF-3DVAR system for the prediction of Typhoon Soudelor

Feifei Shen et al.

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Cited articles

Bauer, P., Geer, A. J., Lopez, P., and Salmond, D.: Direct 4D–Var assimilation of all-sky radiance. Part I: Implementation, Q. J. Roy. Meteorol. Soc., 136, 1868–1885, 2010. 
Buehner, M., Caya, A., Carrieres, T., and Pogson, L.: Assimilation of SSMIS and ASCAT data and the replacement of highly uncertain estimates in the Environment Canada Regional Ice Prediction System, Q. J. Roy. Meteorol. Soc., 142, 562–573, 2016.   
Choi, Y., Cha, D. H., Lee, M. I., Kim, J., Jin, C. S., Park, S. H., and Joh, M. S.: Satellite radiance data assimilation for binary tropical cyclone cases over the western North Pacific, J. Adv. Model. Earth Syst., 9, 832–853, 2017. 
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Short summary
The Advanced Himawari Imager (AHI) on Himawari-8 can continuously monitor high-impact weather events with high frequency in space and time. The assimilation of AHI radiance data was implemented with the three-dimensional variational data assimilation system of the Weather Research and Forecasting Model for the analysis and prediction of Typhoon Soudelor (2015) in the Pacific typhoon season.
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