Change in the Occurrence Frequency of Landfalling and Non-Landfalling Tropical Cyclones over the Northwest Pacific

Mingzhong Xiao aState Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau, China
bState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China

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Abstract

Understanding the tropical cyclone (TC) activity changes in response to climate change is of great importance for disaster mitigation and climate change adaptation. Change in the annual occurrence frequency of landfalling and non-landfalling weak, strong, and super TCs during 1980–2018 was analyzed. Results indicate that the super TCs have been more likely to make landfall in the northwest Pacific since 1980. Using an empirical orthogonal function–based method proposed to decompose the space–time field of TC occurrence into different patterns, the anthropogenic influence on the change in super TC occurrence was detected when the impacts of El Niño–Southern Oscillation (ENSO), the Pacific meridional mode (PMM), and the interdecadal Pacific oscillation (IPO) were separated. Results further show that TCs forming in the sea surface near land (6°–21°N, 130°–137°E) have been more likely to intensify to super TCs in recent years. These intensified TCs tend to favor subsequent landfall, which may be the reason for the increase in landfalling super TCs. The intensification of TC is mainly due to the increase in the intensification rate, which increases with increased sea surface temperature (SST), especially during the stronger wind periods. Along with the change in the occurrence of landfalling super TCs, the landfalling locations of super TCs also changed. For example, western South China, Southeast China, and Japan are facing an increase in landfalling super TCs. The destructiveness of super TCs to these economically developed and highly populated regions is great; more attention therefore should be paid to mitigate TC disasters.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Mingzhong Xiao, xmingzh@mail2.sysu.edu.cn

Abstract

Understanding the tropical cyclone (TC) activity changes in response to climate change is of great importance for disaster mitigation and climate change adaptation. Change in the annual occurrence frequency of landfalling and non-landfalling weak, strong, and super TCs during 1980–2018 was analyzed. Results indicate that the super TCs have been more likely to make landfall in the northwest Pacific since 1980. Using an empirical orthogonal function–based method proposed to decompose the space–time field of TC occurrence into different patterns, the anthropogenic influence on the change in super TC occurrence was detected when the impacts of El Niño–Southern Oscillation (ENSO), the Pacific meridional mode (PMM), and the interdecadal Pacific oscillation (IPO) were separated. Results further show that TCs forming in the sea surface near land (6°–21°N, 130°–137°E) have been more likely to intensify to super TCs in recent years. These intensified TCs tend to favor subsequent landfall, which may be the reason for the increase in landfalling super TCs. The intensification of TC is mainly due to the increase in the intensification rate, which increases with increased sea surface temperature (SST), especially during the stronger wind periods. Along with the change in the occurrence of landfalling super TCs, the landfalling locations of super TCs also changed. For example, western South China, Southeast China, and Japan are facing an increase in landfalling super TCs. The destructiveness of super TCs to these economically developed and highly populated regions is great; more attention therefore should be paid to mitigate TC disasters.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Mingzhong Xiao, xmingzh@mail2.sysu.edu.cn
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  • Breiman, L., 2001: Random forests. Mach. Learn., 45, 532, https://doi.org/10.1023/A:1010933404324.

  • Chiang, J. C. H., and D. J. Vimont, 2004: Analogous Pacific and Atlantic meridional modes of tropical atmosphere–ocean variability. J. Climate, 17, 41434158, https://doi.org/10.1175/JCLI4953.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dawson, A., 2016: eofs: A library for EOF analysis of meteorological, oceanographic, and climate data. J. Open Res. Software, 4, e14, https://doi.org/10.5334/jors.122.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K., 2005: Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436, 686688, https://doi.org/10.1038/nature03906.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K., 2017: Assessing the present and future probability of Hurricane Harvey’s rainfall. Proc. Natl. Acad. Sci. USA, 114, 12 68112 684, https://doi.org/10.1073/pnas.1716222114.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gao, S., L. Zhu, W. Zhang, and X. Shen, 2020: Impact of the Pacific meridional mode on landfalling tropical cyclone frequency in China. Quart. J. Roy. Meteor. Soc., 146, 24102420, https://doi.org/10.1002/qj.3799.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hannachi, A., I. T. Jolliffe, and D. B. Stephenson, 2007: Empirical orthogonal functions and related techniques in atmospheric science: A review. Int. J. Climatol., 27, 11191152, https://doi.org/10.1002/joc.1499.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Henley, B. J., J. Gergis, D. J. Karoly, S. Power, J. Kennedy, and C. K. Folland, 2015: A tripole index for the interdecadal Pacific oscillation. Climate Dyn., 45, 30773090, https://doi.org/10.1007/s00382-015-2525-1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Quart. J. Roy. Meteor. Soc., 146, 19992049, https://doi.org/10.1002/qj.3803.

  • Hsu, P.-C., P.-S. Chu, H. Murakami, and X. Zhao, 2014: An abrupt decrease in the late-season typhoon activity over the western North Pacific. J. Climate, 27, 42964312, https://doi.org/10.1175/JCLI-D-13-00417.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kang, N.-Y., and J. B. Elsner, 2015: Trade-off between intensity and frequency of global tropical cyclones. Nat. Climate Change, 5, 661664, https://doi.org/10.1038/nclimate2646.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kang, N.-Y., and J. B. Elsner, 2016: Climate mechanism for stronger typhoons in a warmer world. J. Climate, 29, 10511057, https://doi.org/10.1175/JCLI-D-15-0585.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Knutson, T., and Coauthors, 2019: Tropical cyclones and climate change assessment: Part I: Detection and attribution. Bull. Amer. Meteor. Soc., 100, 19872007, https://doi.org/10.1175/BAMS-D-18-0189.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Knutson, T., and Coauthors, 2020: Tropical cyclones and climate change assessment: Part II: Projected response to anthropogenic warming. Bull. Amer. Meteor. Soc., 101, E303E322, https://doi.org/10.1175/BAMS-D-18-0194.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kossin, J. P., T. L. Olander, and K. R. Knapp, 2013: Trend analysis with a new global record of tropical cyclone intensity. J. Climate, 26, 99609976, https://doi.org/10.1175/JCLI-D-13-00262.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kossin, J. P., K. A. Emanuel, and S. J. Camargo, 2016: Past and projected changes in western North Pacific tropical cyclone exposure. J. Climate, 29, 57255739, https://doi.org/10.1175/JCLI-D-16-0076.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lai, Y., and Coauthors, 2020: Greater flood risks in response to slowdown of tropical cyclones over the coast of China. Proc. Natl. Acad. Sci. USA, 117, 14 75114 755, https://doi.org/10.1073/pnas.1918987117.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, R. C. Y., W. Zhou, C. M. Shun, and T. C. Lee, 2017: Change in destructiveness of landfalling tropical cyclones over China in recent decades. J. Climate, 30, 33673379, https://doi.org/10.1175/JCLI-D-16-0258.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, L., and Y. Wang, 2020: Trends in landfalling tropical cyclone–induced precipitation over China. J. Climate, 33, 22232235, https://doi.org/10.1175/JCLI-D-19-0693.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, L., Y. Wang, R. Zhan, J. Xu, and Y. Duan, 2020: Increasing destructive potential of landfalling tropical cyclones over China. J. Climate, 33, 37313743, https://doi.org/10.1175/JCLI-D-19-0451.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lu, M., and R. Xiong, 2019: Spatiotemporal profiling of tropical cyclones genesis and favorable environmental conditions in the western Pacific basin. Geophys. Res. Lett., 46, 11 54811 558, https://doi.org/10.1029/2019GL084995.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mei, W., and S.-P. Xie, 2016: Intensification of landfalling typhoons over the northwest Pacific since the late 1970s. Nat. Geosci., 9, 753757, https://doi.org/10.1038/ngeo2792.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Murakami, H., T. L. Delworth, W. F. Cooke, M. Zhao, B. Xiang, and P.-C. Hsu, 2020: Detected climatic change in global distribution of tropical cyclones. Proc. Natl. Acad. Sci. USA, 117, 10 70610 714, https://doi.org/10.1073/pnas.1922500117.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pedregosa, F., and Coauthors, 2011: Scikit-learn: Machine learning in Python. J. Mach. Learn. Res., 12, 28252830, https://dl.acm.org/doi/10.5555/1953048.2078195.

    • Search Google Scholar
    • Export Citation
  • Peduzzi, P., B. Chatenoux, H. Dao, A. De Bono, C. Herold, J. Kossin, F. Mouton, and O. Nordbeck, 2012: Global trends in tropical cyclone risk. Nat. Climate Change, 2, 289294, https://doi.org/10.1038/nclimate1410.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Schreck, C. J., III, K. R. Knapp, and J. P. Kossin, 2014: The impact of best track discrepancies on global tropical cyclone climatologies using IBTrACS. Mon. Wea. Rev., 142, 38813899, https://doi.org/10.1175/MWR-D-14-00021.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tippett, M. K., S. J. Camargo, and A. H. Sobel, 2011: A Poisson regression index for tropical cyclone genesis and the role of large-scale vorticity in genesis. J. Climate, 24, 23352357, https://doi.org/10.1175/2010JCLI3811.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Weinkle, J., R. Maue, and R. Pielke Jr., 2012: Historical global tropical cyclone landfalls. J. Climate, 25, 47294735, https://doi.org/10.1175/JCLI-D-11-00719.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wu, L., C. Wang, and B. Wang, 2015: Westward shift of western North Pacific tropical cyclogenesis. Geophys. Res. Lett., 42, 15371542, https://doi.org/10.1002/2015GL063450.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xiao, M., 2020: Quantifying spatiotemporal influences of climate index on seasonal extreme precipitation based on hierarchical Bayesian method. Int. J. Climatol., 40, 30873098, https://doi.org/10.1002/joc.6384.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xiao, M., Q. Zhang, and V. P. Singh, 2015: Influences of ENSO, NAO, IOD and PDO on seasonal precipitation regimes in the Yangtze River basin, China. Int. J. Climatol., 35, 35563567, https://doi.org/10.1002/joc.4228.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xiao, M., and Coauthors, 2020: Stomatal response to decreased relative humidity constrains the acceleration of terrestrial evapotranspiration. Environ. Res. Lett., 15, 094066, https://doi.org/10.1088/1748-9326/ab9967.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhan, R., Y. Wang, and J. Zhao, 2017: Intensified mega-ENSO has increased the proportion of intense tropical cyclones over the western northwest Pacific since the late 1970s. Geophys. Res. Lett., 44, 11 95911 966, https://doi.org/10.1002/2017GL075916.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, Q., L. Wu, and Q. Liu, 2009: Tropical cyclone damages in China 1983–2006. Bull. Amer. Meteor. Soc., 90, 489496, https://doi.org/10.1175/2008BAMS2631.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, W., H.-F. Graf, Y. Leung, and M. Herzog, 2012: Different El Niño types and tropical cyclone landfall in East Asia. J. Climate, 25, 65106523, https://doi.org/10.1175/JCLI-D-11-00488.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, W., G. A. Vecchi, H. Murakami, G. Villarini, T. L. Delworth, X. Yang, and L. Jia, 2018: Dominant role of Atlantic multidecadal oscillation in the recent decadal changes in western North Pacific tropical cyclone activity. Geophys. Res. Lett., 45, 354362, https://doi.org/10.1002/2017GL076397.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhao, J., R. Zhan, and Y. Wang, 2018a: Global warming hiatus contributed to the increased occurrence of intense tropical cyclones in the coastal regions along East Asia. Sci. Rep., 8, 6023, https://doi.org/10.1038/s41598-018-24402-2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhao, J., R. Zhan, Y. Wang, and H. Xu, 2018b: Contribution of the interdecadal Pacific oscillation to the recent abrupt decrease in tropical cyclone genesis frequency over the western North Pacific since 1998. J. Climate, 31, 82118224, https://doi.org/10.1175/JCLI-D-18-0202.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
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