Seasonal Climate Prediction Models for the Number of Landfalling Tropical Cyclones in China
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Two prediction models are developed to predict the number of landfalling tropical cyclones (LTCs) in China during June-August (JJA). One is a statistical model using preceding predictors from the observation, and the other is a hybrid model using both the aforementioned preceding predictors and concurrent summer large-scale environmental conditions from the NCEP Climate Forecast System version 2 (CFSv2). (1) For the statistical model, the year-to-year increment method is adopted to analyze the predictors and their physical processes, and the JJA number of LTCs in China is then predicted by using the previous boreal summer sea surface temperature (SST) in Southwest Indonesia, preceding October South Australia sea level pressure, and winter SST in the Sea of Japan. The temporal correlation coefficient between the observed and predicted number of LTCs during 1983–2017 is 0.63. (2) For the hybrid prediction model, the prediction skill of CFSv2 initiated each month from February to May in capturing the relationships between summer environmental conditions (denoted by seven potential factors: three steering factors and four genesis factors) and the JJA number of LTCs is firstly evaluated. For the 2- and 1-month leads, CFSv2 has successfully reproduced these relationships. For the 4-, 3-, and 2-month leads, the predictor of geopotential height at 500 hPa over the western North Pacific (WNP) shows the worst forecasting skill among these factors. In general, the summer relative vorticity at 850 hPa over the WNP is a modest predictor, with stable and good forecasting skills at all lead times.
Key wordstropical cyclone Climate Forecast System version 2 (CFSv2) year-to-year increment prediction
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- Chia, H. H., and C. F. Ropelewski, 2002: The interannual variability in the genesis location of tropical cyclones in the Northwest Pacific. J. Climate, 15, 2934–2944, doi: https://doi.org/10.1175/1520-0442(2002)015<2934:TIVITG>2.0.CO;2.CrossRefGoogle Scholar
- Emanuel, K., 2003: Tropical cyclones. Annu. Rev. Earth Planet. Sci., 31, 75–104, doi: https://doi.org/10.1146/annurev.earth.31.100901.141259.CrossRefGoogle Scholar
- Ho, C.-H., H.-S. Kim, and P.-S. Chu, 2009: Seasonal prediction of tropical cyclone frequency over the East China Sea through a Bayesian Poisson-regression method. Asia-Pacific J. Atmos. Sci., 45, 45–54.Google Scholar
- Kalnay, E., M. Kanamitsu, R. Kistler, et al., 1996: The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77, 437–472, doi: https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.CrossRefGoogle Scholar
- Michaelsen, J., 1987: Cross-validation in statistical climate forecast models. J. Climate Appl. Meteor., 26, 1589–1600, doi: https://doi.org/10.1175/1520-0450(1987)026<1589:CVISCF>2.0.CO;2.CrossRefGoogle Scholar
- Murphy, A. H., 1988: Skill scores based on the mean square error and their relationships to the correlation coefficient. Mon. Wea. Rev., 116, 2417–2424, doi: https://doi.org/10.1175/1520-0493(1988)116<2417:SSBOTM>2.0.CO;2.CrossRefGoogle Scholar
- Sun, S. Q., G. Liu, and Q. Y. Zhang, 2007: The influence of the circulation anomalies in the Southern Hemisphere on the tropical cyclone frequency in summer over the western Pacific and its mechanism. Chinese J. Atmos. Sci., 31, 1189–1200, doi: https://doi.org/10.3878/j.issn.1006-9895.2007.06.14. (in Chinese)Google Scholar
- Wang, B., and J. C. L. Chan, 2002: How strong ENSO events affect tropical storm activity over the western North Pacific. J. Climate, 15, 1643–1658, doi: https://doi.org/10.1175/1520-0442(2002)015<1643:HSEEAT>2.0.CO;2.CrossRefGoogle Scholar
- Wu, G. X., and N. C. Lau, 1992: A GCM simulation of the relationship between tropical-storm formation and ENSO. Mon. Wea. Rev., 120, 958–977, doi: https://doi.org/10.1175/1520-0493(1992)120<0958:AGSOTR>2.0.CO;2.CrossRefGoogle Scholar
- Wu, M. C., W. L. Chang, and W. M. Leung, 2004: Impacts of El Niño-Southern Oscillation events on tropical cyclone land-falling activity in the western North Pacific. J. Climate, 17, 1419–1428, doi: https://doi.org/10.1175/1520-0442(2004)017<1419:IOENOE>2.0.CO;2.CrossRefGoogle Scholar