Articles | Volume 28, issue 4
https://doi.org/10.5194/hess-28-761-2024
https://doi.org/10.5194/hess-28-761-2024
Research article
 | 
20 Feb 2024
Research article |  | 20 Feb 2024

Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities

Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux

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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-95,https://doi.org/10.5194/hess-2024-95, 2024
Preprint under review for HESS
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Cited articles

Anthes, R. A.: A Cumulus Parameterization Scheme Utilizing a One-Dimensional Cloud Model, Mon. Weather Rev., 105, 270–286, https://doi.org/10.1175/1520-0493(1977)105<0270:ACPSUA>2.0.CO;2, 1977. 
Bhattacharya, S. K., Kotal, S. D., Roy Bhowmik, S. K., and Kundu, P. K.: Sensitivity of WRF-ARW Model to Cumulus Parameterisation Schemes in Prediction of TC Intensity and Track Over the North Indian Ocean, in: Tropical Cyclone Activity over the North Indian Ocean, edited by: Mohapatra, M., Bandyopadhyay, B. K., and Rathore, L. S., Springer International Publishing, Cham, 295–306, https://doi.org/10.1007/978-3-319-40576-6_20, 2017. 
Bryan, G. H., Wyngaard, J. C., and Fritsch, J. M.: Resolution Requirements for the Simulation of Deep Moist Convection, Mon. Weather Rev., 131, 2394–2416, https://doi.org/10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO;2, 2003. 
Camargo, S. J. and Wing, A. A.: Tropical cyclones in climate models, WIREs Clim. Change, 7, 211–237, https://doi.org/10.1002/wcc.373, 2016. 
Cao, X., Wu, R., and Bi, M.: Contrasting contributions of flows on different time scales to tropical cyclone tracks over the South China Sea, Environ. Res. Lett., 15, 034003, https://doi.org/10.1088/1748-9326/ab6fbd, 2020. 
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.