Articles | Volume 28, issue 4
https://doi.org/10.5194/hess-28-761-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-761-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Feb 2024
Research article |
| 20 Feb 2024
| 20 Feb 2024
Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Patrick Olschewski
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Jianhui Wei
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Zhan Tian
School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
Peng Cheng Laboratory, Shenzhen, China
Laixiang Sun
Department of Geographical Sciences, University of Maryland, College Park, MD, USA
School of Finance and Management, SOAS University of London, London, UK
Harald Kunstmann
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Augsburg, Germany
Patrick Laux
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Augsburg, Germany
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Short summary
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.
Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall,...
