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Data availability
The Atlantic HURDAT2 best-track data6 are available at https://www.nhc.noaa.gov/data/. The HadISST data3 are available at https://climatedataguide.ucar.edu/climate-data/sst-data-hadisst-v11. The ERA5 reanalysis4 is available at https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5. The post-processed data from LC are available at https://doi.org/10.1038/s41586-020-2867-7. The data that support the findings of this study are available from the corresponding author on request.
Change history
11 July 2022
A Correction to this paper has been published: https://doi.org/10.1038/s41586-022-05078-1
References
Li, L. & Chakraborty, P. Slower decay of landfalling hurricanes in a warming world. Nature 587, 230–234 (2020).
Li, L. & Chakraborty, P. Author Correction: Slower decay of landfalling hurricanes in a warming world. Nature 593, E4–E11 (2021).
Rayner, N. et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res. Atmos. 108, 4407 (2003).
Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146, 1999–2049 (2020).
Chavas, D. land_or_ocean.m. MATLAB Central File Exchange https://www.mathworks.com/matlabcentral/fileexchange/45268-land_or_ocean-m (2020).
Landsea, C. W. & Franklin, J. L. Atlantic hurricane database uncertainty and presentation of a new database format. Mon. Weath. Rev. 141, 3576–3592 (2013).
Miyamoto, Y. & Takemi, T. An effective radius of the sea surface enthalpy flux for the maintenance of a tropical cyclone. Atmos. Sci. Lett. 11, 278–282 (2010).
Colbert, A. J., Soden, B. J., Vecchi, G. A. & Kirtman, B. P. The impact of anthropogenic climate change on North Atlantic tropical cyclone tracks. J. Clim. 26, 4088–4095 (2013).
Murakami, H. & Wang, B. Future change of North Atlantic tropical cyclone tracks: projection by a 20-km-mesh global atmospheric model. J. Clim. 23, 2699–2721 (2010).
Acknowledgements
This study was supported by the National Key R&D Program of China (2019YFC1510400), the National Natural Science Foundation of China (41975052), the National Natural Science Foundation of China and Macau Science and Technology Development Joint Fund (41861164027), the Innovation Group Project of the Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (311021001), the Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (2020B1212060025), and the Fundamental Research Funds for the Central Universities, Sun Yat-sen University (2021qntd29).
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Contributions
K.T.F.C. conceived the idea, supervised the study and wrote the manuscript. K.T.F.C., K.Z. and Y.W. performed the analysis. All authors contributed to the discussion and editing of the manuscript.
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The authors declare no competing interests.
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Extended data
is available for this paper at https://doi.org/10.1038/s41586-022-04791-1.
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Extended data figures and tables
Extended Data Fig. 1 Categorization of landfalling track modes.
Following LC, at least four continuous inland data points should exist. The intensity of the landfalling hurricane at the first data point is ≥ 33 m s−1. The threshold of translation velocity at 10 km h−1 and the criterial angle between the landfalling track and coastline at 45° have been practically validated that can physically distinguish the characteristics among different landfalling track modes.
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Chan, K.T.F., Zhang, K., Wu, Y. et al. Landfalling hurricane track modes and decay. Nature 606, E7–E11 (2022). https://doi.org/10.1038/s41586-022-04791-1
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DOI: https://doi.org/10.1038/s41586-022-04791-1
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