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CLIMATE PREDICTION EXPERIMENT FOR TROPICAL CYCLONE GENESIS FREQUENCY USING THE LARGE-SCALE CIRCULATION FORECAST BY A COUPLED GLOBAL CIRCULATION MODEL

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  • Based on an analysis of the relationship between the tropical cyclone genesis frequency and large-scale circulation anomaly in NCEP reanalysis, large-scale atmosphere circulation information forecast by the JAMSTEC SINTEX-F coupled model is used to build a statistical model to predict the cyclogenesis frequency over the South China Sea and the western North Pacific. The SINTEX-F coupled model has relatively good prediction skill for some circulation features associated with the cyclogenesis frequency including sea level pressure, wind vertical shear, Intertropical Convergence Zone and cross-equatorial air flows. Predictors derived from these large-scale circulations have good relationships with the cyclogenesis frequency over the South China Sea and the western North Pacific. A multivariate linear regression (MLR) model is further designed using these predictors. This model shows good prediction skill with the anomaly correlation coefficient reaching, based on the cross validation, 0.71 between the observed and predicted cyclogenesis frequency. However, it also shows relatively large prediction errors in extreme tropical cyclone years (1994 and 1998, for example).
  • [1] DING Yi-hui. Large-scale circulation conditions affecting the genesis of typhoons in western Pacific [J]. Acta Oceanol. Sinica, 1983, 5(5): 561-574.
    [2] LI Chong-yin. A study on the influence of El Nino upon typhoon action over western Pacific [J]. Acta Meteor. Sinica, 1987, 45: 229-236.
    [3] DONG Ke-qin, ZHONG Quan. The correlation between SST for equatorial eastern Pacific and frequency of occurrence for tropical storms in the South China Sea [J]. J. Trop. Meteor., 1989, 5(4): 335-350.
    [4] CHEN Lian-shou, LUO Zhe-xian. Numerical on the impact of two kinds of factors on tropical cyclone’s structure and motion of typhoons [J]. Acta Meteor. Sinica, 1996, 54: 409-415.
    [5] LEI Xiao-tu. Advances in the research of the prediction of tropical cyclone frequency and level of operational forecast [J]. Atmos. Sci. Res. Appl., 1998, 1: 196-202.
    [6] SONG Wen-ling, HE Min. Relationship between convective activity over tropical Pacific and typhoon activity over northwest Pacific [J]. Quart. J. Appl. Meteor., 1998 (Suppl.): 109-118.
    [7] CHEN Lie-ting, YAN Zhi-xin. Statistical analysis to the effects of winter-spring snow cover over the Tibetan Plateau on the early summer monsoon [M]. Beijing: Hydraulics and Hydro Electrics Press, 1981: 133-141.
    [8] WU Di-sheng, BAI Yi-ping, ZHANG Hong-mei, et al. The influence of variation of subsurface ocean temperature in the equatorial western Pacific warm pool on tropical cyclones [J]. J. Trop. Meteor., 2003, 19(3): 253-259.
    [9] LIN Hui-juan, ZHANG Yao-cun. Climatic features of the tropical cyclone influencing China and its relationship with the sea surface temperature in the Pacific Ocean [J]. J. Trop. Meteor., 2004, 20(2): 218-224.
    [10] LI Chun-hui, LIU Chun-xia, CHENG Zheng-quan. The characteristics of temporal and spatial distribution of tropical cyclone frequencies over the South China Sea and its affecting oceanic factors in the past 50yrs [J]. J. Trop. Meteor., 2007, 23(4): 341-347.
    [11] WANG Yong-mei, LI Wei-jing, REN Fu-min, et al. Study on climatic characteristics of China-influencing typhoons and the interrelations between them and their environmental factors [J]. J. Trop. Meteor., 2007, 23(6): 538-544.
    [12] WANG Hui-jun, SUN Jian-qi, FAN Ke. On the relationship between the North Pacific Oscillation and the genesis frequency of typhoons and hurricanes [J]. Sci. China (Ser. D: Earth Sci.), 2007, 37(7): 966-973.
    [13] FAN Ke. Is the North Pacific sea ice a predictor for the typhoon genesis in northwestern Pacific? [J]. Sci. China (Ser. D: Earth Sci.), 2007, 37(6): 851-856.
    [14] SUN Shu-qing, LIU Ge, ZHANG Qing-yun. The influence of the circulation anomalies in the Southern Hemisphere on the tropical cyclnoe frequency in summer over the western Pacific and its mechanism [J]. Chin. J. Atmos. Sci., 2007, 31(6): 1189-1200.
    [15] WANG Hui-jun, FAN Ke. Relationship between the genesis frequency of northwestern Pacific typhoons and the Antarctica Oscillation [J]. Chin. Sci. Bull., 2006, 51(24): 2910-2914.
    [16] NICHOLLS N. Recent performance of a method for forecasting Australian season tropical cyclone activity [J]. Aust. Meteor. Mag., 1992, 40: 105-110.
    [17] JIANG Guo-rong, SHA Wen-yu. Investigation of the statistical forecast of interannual change of tropical cyclone in the western Pacific by sea surface temperature in the eastern equatorial Pacific [J]. J. Trop. Meteor., 1993, 9(3): 221-228.
    [18] KLOTZBACH P J, GRAY W M. Twenty-five years of Atlantic basin seasonal hurricane forecasts (1984�C2008) [J]. Geophys. Res. Lett., 2009, 36, L09711, doi:10. 1029/2009GL037580.
    [19] KLOTZBACH P J, GRAY W M. Extended range forecast of Atlantic seasonal hurricane activity and landfall strike probability for 2010 [EB/OL]. [2013-09-11] http://hurricane.atmos.colostate.edu.
    [20] FAN Ke, WANG Hui-jun. A new approach to forecasting typhoon frequency over the western North pacific [J]. Wea. Forecast., 2009, doi:10.1175/2009WAF2222194.1.
    [21] WANG Hui-jun, LONG Xian-mei, FAN Ke, et al. Real-time prediction experiment for the typhoon frequency in the western North Pacific for 2006 [J]. Clim. Environ. Res., 2006, 11(2): 133-137.
    [22] LONG Xian-mei, WANG Hui-jun. Can climate models be used to predict the climate background of the activity of typhoons in western North Pacific? [J]. Chin. Sci. Bull., 2008, 53(14): 1702-1708.
    [23] GUALDI S, NAVARRA A, GUILYARDI E, et al. Assessment of the tropical Indo-Pacific climate in the SINTEX CGCM [J]. Ann. Geophys., 2003, 46(1): 1-26.
    [24] GUILYARDI E, DELECLUSE P, GUALDI S, et al. Mechanism for ENSO phase change in a coupled GCM [J]. J Climate, 2003, 16(8): 1141-1158.
    [25] LUO J J, MASSON S, BEHERA S, et al. South Pacific origin of the decadal ENSO-like variation as simulated by a coupled GCM [J]. Geophys. Res. Lett., 2003, 30: 2250, doi:10.029/2003GL018649.
    [26] LUO J J, ROECKNER E, MADEC G, et al. Reducing climatology bias in an ocean-atmosphere CGCM with improved coupling physics [J]. J. Climate, 2005, 18(13): 2344-2360.
    [27] CHEN Li-juan. Analysis of the predictability of seasonal climate based on air-sea coupled models and interpretation application [D]. Doctoral thesis, Beijing: Graduate School of Chinese Academy of Sciences, 2008.
    [28] ROECKNER E, COAUTHORS. The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate [R]. Max-Planck-Institut für Meteorologie Rep. 218, Hamburg, Germany, 1996, 90 pp.
    [29] MADEC G, DELECLUSE P, IMBARD M, et al. OPA 8.1 ocean general circulation model reference manual [R]. LODYC/IPSL Tech. Rep. Note 11, 1998, Paris, France, 91.
    [30] VALCKE S, TERRAY L, PIACENTINI A. The OASIS coupler user guide version 2.4 [R]. CERFACE Tech. Rep. TR/CGMC/00-10, 2000, 85.
    [31] LUO J J, MASSON S, BEHERA S, et al. Seasonal climate predictability in a coupled OAGCM using a different approach for ensemble forecasts [J]. J. Climate, 2005, 18(21): 4474�C4497.
    [32] LUO J J, MASSON S, BEHERA S, et al. Extended ENSO predictions using a fully coupled ocean�Catmosphere model [J]. J. Climate, 2008, 21(1): 84-93.
    [33] LUO J J, ZHANG R, BEHERA S, et al. Interaction between El Nino and extreme Indian Ocean Dipole [J]. J. Climate, 2010, 23(3): 726-742.
    [34] LUO J J, MASSON S, BEHERA S, et al. Experimental forecasts of the Indian Ocean Dipole using a coupled OAGCM [J]. J Climate, 2007, 20 (10): 2178-2190.
    [35] JIN E K, COAUTHORS. Current status of ENSO prediction skill in coupled ocean�Catmosphere models [J]. Climate Dyn., 2008, 31: 647-664.
    [36] WANG B, LEE J Y, KANG I S, et al. How accurately do coupled climate models predict the Asian-Australia monsoon interannual variability? [J]. Climate Dyn., 2008, 31: 605-619.
    [37] LUO J J, BEHERA S, MASUMOTO Y, et al. Successful prediction of the consecutive IOD in 2006 and 2007[J]. Geophys Res Lett, 2008, 35, L14S02, doi:10.1029/2007GL032793.
    [38] KALNEY E, KANAMITSU M, KISTLER R, et al. The NCEP/NCAR 40-year reanalysis project [J]. Bull. Amer. Meteor. Soc., 1996, 77(3): 437-471.

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JIA Xiao-long, CHEN Li-juan, LUO Jing-jia. CLIMATE PREDICTION EXPERIMENT FOR TROPICAL CYCLONE GENESIS FREQUENCY USING THE LARGE-SCALE CIRCULATION FORECAST BY A COUPLED GLOBAL CIRCULATION MODEL [J]. Journal of Tropical Meteorology, 2014, 20(2): 103-111.
JIA Xiao-long, CHEN Li-juan, LUO Jing-jia. CLIMATE PREDICTION EXPERIMENT FOR TROPICAL CYCLONE GENESIS FREQUENCY USING THE LARGE-SCALE CIRCULATION FORECAST BY A COUPLED GLOBAL CIRCULATION MODEL [J]. Journal of Tropical Meteorology, 2014, 20(2): 103-111.
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Manuscript revised: 21 March 2014
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CLIMATE PREDICTION EXPERIMENT FOR TROPICAL CYCLONE GENESIS FREQUENCY USING THE LARGE-SCALE CIRCULATION FORECAST BY A COUPLED GLOBAL CIRCULATION MODEL

Abstract: Based on an analysis of the relationship between the tropical cyclone genesis frequency and large-scale circulation anomaly in NCEP reanalysis, large-scale atmosphere circulation information forecast by the JAMSTEC SINTEX-F coupled model is used to build a statistical model to predict the cyclogenesis frequency over the South China Sea and the western North Pacific. The SINTEX-F coupled model has relatively good prediction skill for some circulation features associated with the cyclogenesis frequency including sea level pressure, wind vertical shear, Intertropical Convergence Zone and cross-equatorial air flows. Predictors derived from these large-scale circulations have good relationships with the cyclogenesis frequency over the South China Sea and the western North Pacific. A multivariate linear regression (MLR) model is further designed using these predictors. This model shows good prediction skill with the anomaly correlation coefficient reaching, based on the cross validation, 0.71 between the observed and predicted cyclogenesis frequency. However, it also shows relatively large prediction errors in extreme tropical cyclone years (1994 and 1998, for example).

JIA Xiao-long, CHEN Li-juan, LUO Jing-jia. CLIMATE PREDICTION EXPERIMENT FOR TROPICAL CYCLONE GENESIS FREQUENCY USING THE LARGE-SCALE CIRCULATION FORECAST BY A COUPLED GLOBAL CIRCULATION MODEL [J]. Journal of Tropical Meteorology, 2014, 20(2): 103-111.
Citation: JIA Xiao-long, CHEN Li-juan, LUO Jing-jia. CLIMATE PREDICTION EXPERIMENT FOR TROPICAL CYCLONE GENESIS FREQUENCY USING THE LARGE-SCALE CIRCULATION FORECAST BY A COUPLED GLOBAL CIRCULATION MODEL [J]. Journal of Tropical Meteorology, 2014, 20(2): 103-111.
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