Articles | Volume 21, issue 2
Nat. Hazards Earth Syst. Sci., 21, 723–742, 2021
Nat. Hazards Earth Syst. Sci., 21, 723–742, 2021

Research article 23 Feb 2021

Research article | 23 Feb 2021

Typhoon rainstorm simulations with radar data assimilation on the southeast coast of China

Jiyang Tian et al.

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Cited articles

Agnihotri, G. and Dimri, A. P.: Simulation study of heavy rainfall episodes over the southern Indian peninsula, Meteorol. Appl., 22, 223–235,, 2015. 
Avolio, E. and Federico, S.: WRF simulations for a heavy rainfall event in southern Italy: Verification and sensitivity tests, Atmos. Res., 209, 14–35,, 2018. 
Bauer, H. S., Schwitalla, T., Wulfmeyer V., Bakhshaii, A., Ehret, U., Neuper, M., and Caumont, O: Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test, Tellus A., 67, 25047,, 2015. 
Cai, Y., Lu, X., Chen, G., and Yang, S: Diurnal cycles of Mei-yu rainfall simulated over eastern China: Sensitivity to cumulus convective parameterization, Atmos. Res., 213, 236–251,, 2018. 
Caya, A., Sun, J., and Snyder, C.: A comparison between the 4DVAR and the Ensemble Kalman Filter techniques for radar data assimilation, Mon. Weather Rev., 133, 3081–3094,, 2005. 
Short summary
A typhoon always comes with heavy rainfall which leads to great loss. The aim of this study is to explore the reasonable use of Doppler radar data assimilation to correct the initial and lateral boundary conditions of the numerical weather prediction (NWP) systems for typhoon rainstorm forecasts at catchment scale. The results show that assimilating radial velocity at a time interval of 1 h can significantly improve the rainfall simulations and outperform the other assimilation modes.
Final-revised paper