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Seasonal forecasting of intense tropical cyclones over the North Atlantic and the western North Pacific basins

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Abstract

Intense tropical cyclones (TCs) accompanying torrential rain and powerful wind gusts often cause substantial socio-economic losses in the regions around their landfall. This study analyzes intense TCs in the North Atlantic (NA) and the western North Pacific (WNP) basins during the period 1982–2013. Different intensity criteria are used to define intense TCs for these two basins, category 1 and above for NA and category 3 and above for WNP, because the number of TCs in the NA basin is much smaller than that in the WNP basin. Using a fuzzy clustering method, intense TC tracks in the NA and the WNP basins are classified into two and three representative patterns, respectively. On the basis of the clustering results, a track-pattern-based model is then developed for forecasting the seasonal activities of intense TCs in the two basins. Cross-validation of the model skill for 1982–2013 as well as verification of a forecast for the 2014 TC season suggest that our intense TC model is applicable to operational uses.

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References

  • Bell GD et al (2012) The 2011 North Atlantic hurricane season: a climate perspective. State of the Climate in 2011. In: Blunden J, Arndt DS (eds) Bulletin of the American Meteorological Society vol 93, pp. S99–S105

  • Bender MA, Ginis I, Tuleya R, Thomas B, Marchok T (2007) The operational GFDL coupled hurricane–ocean prediction system and a summary of its performance. Mon Weather Rev 135:3965–3989

    Article  Google Scholar 

  • Bensaid AM, Hall LO, Bezdek JC, Clarke LP, Silbiger ML, Arrington JA, Murtagh RF (1996) Validity-guided (re) clustering with applications to image segmentation. IEEE Trans Fuzzy Syst 4:112–123

    Article  Google Scholar 

  • Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Kluwer Academic Publishers, Norwell

    Book  Google Scholar 

  • Camargo SJ, Barnston AG (2009) Experimental dynamical seasonal forecasts of tropical cyclone activity at IRI. Weather Forecast 24:472–491

    Article  Google Scholar 

  • Camargo SJ, Robertson AW, Gaffney SJ, Smyth P, Ghil M (2007) Cluster analysis of typhoon tracks. Part I: general properties. J Clim 20:3635–3653

    Article  Google Scholar 

  • Chan JCL (2007) Interannual variations of intense typhoon activity. Tellus A 59:455–460

    Article  Google Scholar 

  • Chan JCL, Shi J-E, Lam C-M (1998) Seasonal forecasting of tropical cyclone activity over the western North Pacific and the South China Sea. Weather Forecast 13:997–1004

    Article  Google Scholar 

  • Chan JCL, Shi J-E, Liu KS (2001) Improvements in the seasonal forecasting of tropical cyclone activity over the western North Pacific. Weather Forecast 16:491–498

    Article  Google Scholar 

  • Choi W, Ho C-H, Kim J, Kim H-S, Feng S, Kang K (2016) A track-pattern-based seasonal prediction of tropical cyclone activity over the North Atlantic. J Clim 29:481–494

    Article  Google Scholar 

  • Davis CE, Hyde JE, Bangdiwala SI, Nelson JJ (1986) An example of dependencies among variables in a conditional logistic regression. In: Moolgavkar SH, Prentice RL (eds) Modern statistical methods in chronic disease epidemiology. Wiley, New York, pp 140–147

  • DeMaria M, Sampson CR, Knaff JA, Musgrave KD (2014) Is tropical cyclone intensity guidance improving? Bull Am Meteorol Soc 95:387–398

    Article  Google Scholar 

  • Dunn JC (1973) A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. J Cybern 3:32–57

    Article  Google Scholar 

  • Elsner JB, Jagger TH (2006) Prediction models for annual U.S. hurricane counts. J Clim 19:2935–2952

    Article  Google Scholar 

  • Elsner JB, Schmertmann CP (1993) Improving extended-range seasonal predictions of intense Atlantic hurricane activity. Weather Forecast 8:345–351

    Article  Google Scholar 

  • Emanuel K (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436:686–688

    Article  Google Scholar 

  • Fengjin X, Ziniu X (2010) Characteristics of tropical cyclones in China and their impacts analysis. Nat Hazards 54:827–837

    Article  Google Scholar 

  • Gray WM (1968) Global view of the origin of tropical disturbances and storms. Mon Weather Rev 96:669–700

    Article  Google Scholar 

  • Gray WM (1984) Atlantic seasonal hurricane frequency. Part I: El Niño and 30 mb quasi-biennial oscillation influences. Mon Weather Rev 112:1649–1668

    Article  Google Scholar 

  • Gray WM, Landsea CW, Mielke PW Jr, Berry KJ (1992) Predicting Atlantic seasonal hurricane activity 6–11 months in advance. Weather Forecast 7:440–455

    Article  Google Scholar 

  • Ho C-H, Kim J-H, Kim H-S, Choi W, Lee M-H, Yoo H-D, Kim T-R, Park S (2013) Technical note on a track-pattern-based model for predicting seasonal tropical activity over the western North Pacific. Adv Atmos Sci 30:1260–1274

    Article  Google Scholar 

  • Kanamitsu M, Ebisuzaki W, Woollen J, Yang S-K, Hnilo JJ, Fiorino M, Potter GL (2002) NCEP–DOE AMIP-II Reanalysis (R-2). Bull Am Meteorol Soc 83:1631–1643

    Article  Google Scholar 

  • Kim J-H, Ho C-H, Sui C-H (2005) Circulation features associated with the record-breaking typhoon landfall on Japan in 2004. Geophys Res Lett 32:L14713. doi:10.1029/2005GL022494

    Article  Google Scholar 

  • Kim J-H, Ho C-H, Lee M-H, Jeong J-H, Chen D (2006) Large increase in heavy rainfall associated with tropical cyclone landfalls in Korea after the late 1970s. Geophys Res Lett 33:L18706. doi:10.1029/2006GL027430

    Google Scholar 

  • Kim H-S, Kim J-H, Ho C-H, Chu P-S (2011) Pattern classification of typhoon tracks using the fuzzy c-means clustering method. J Clim 24:488–508

    Article  Google Scholar 

  • Kim H-S, Ho C-H, Kim J-H, Chu P-S (2012) Track-pattern-based model for predicting seasonal tropical cyclone activity in the western North Pacific. J Clim 25:4660–4678

    Article  Google Scholar 

  • Kim D, Jin C-S, Ho C-H, Kim J, Kim J-H (2015) Climatological features of WRF-simulated tropical cyclones over the western North Pacific. Clim Dyn 44:3223–3235. doi:10.1007/s00382-014-2410-3

    Article  Google Scholar 

  • Klotzbach PJ (2007) Recent developments in statistical prediction of seasonal Atlantic basin tropical cyclone activity. Tellus A 59:511–518

    Article  Google Scholar 

  • Kossin JP, Knapp KR, Vimont DJ, Murnane RJ, Harper BA (2007) A globally consistent reanalysis of hurricane variability and trends. Geophys Res Lett 34:L04815

    Article  Google Scholar 

  • Kossin JP, Camargo SJ, Sitkowski M (2010) Climate modulation of North Atlantic hurricane tracks. J Clim 23:3057–3076

    Article  Google Scholar 

  • Li X, Yang S, Wang H, Jia X, Kumar A (2013) A dynamical-statistical forecast model for the annual frequency of western Pacific tropical cyclones based on the NCEP Climate Forecast System version 2. J Geophys Res 118:12061–12074

    Google Scholar 

  • Manganello JV et al (2012) Tropical cyclone climatology in a 10-km global atmospheric GCM: toward weather-resolving climate modeling. J Clim 25:3867–3893

    Article  Google Scholar 

  • McDonnell KA, Holbrook NJ (2004) A Poisson regression model of tropical cyclogenesis for the Australian-Southwest Pacific Ocean region. Weather Forecast 19:440–455

    Article  Google Scholar 

  • Mendelsohn R, Emanuel K, Chonabayashi S, Bakkensen L (2012) The impact of climate change on global tropical cyclone damage. Nat Clim Change 2:205–209

    Article  Google Scholar 

  • O’Brien RM (2007) A caution regarding rules of thumb for variance inflation factors. Qual Quant 41:673–690

    Article  Google Scholar 

  • Oouchi K, Yoshimura J, Yoshimura H, Mizuta R, Kusunoki S, Noda A (2006) Tropical cyclone climatology in a global warming climate as simulated in a 20 km-mesh global atmospheric model: frequency and wind intensity analyses. J Meteorol Soc Jpn 84:259–276

    Article  Google Scholar 

  • Park D-SR, Ho C-H, Kim J-H, Kim H-S (2011) Strong landfall typhoons in Korea and Japan in a recent decade. J Geophys Res 116:D07105

    Article  Google Scholar 

  • Park D-SR, Ho C-H, Kim J-H (2014) Growing threat of intense tropical cyclones to East Asia over the period 1977–2010. Environ Res Lett 9:014008

    Article  Google Scholar 

  • Park D-SR, Ho C-H, Nam CC, Kim H-S (2015) Evidence of reduced vulnerability to tropical cyclones in the Republic of Korea. Environ Res Lett 10:054003

    Article  Google Scholar 

  • Pielke RA Jr, Gratz J, Landsea CW, Collins D, Saunders MA, Musulin R (2008) Normalized hurricane damage in the United States: 1900–2005. Nat Hazards Rev 9:29–42

    Article  Google Scholar 

  • Rappaport EN et al (2009) Advances and challenges at the National Hurricane Center. Weather Forecast 24:395–419

    Article  Google Scholar 

  • Saha S et al (2014) The NCEP Climate Forecast System version 2. J Clim 27:2185–2208

    Article  Google Scholar 

  • Saunders MA, Lea AS (2005) Seasonal prediction of hurricane activity reaching the coast of the United States. Nature 434:1005–1008

    Article  Google Scholar 

  • Smith AB, Katz RW (2013) US billion-dollar weather and climate disasters: data sources, trends, accuracy and biases. Nat Hazards 67:387–410

    Article  Google Scholar 

  • Smith TM, Reynolds RW, Peterson TC, Lawrimore J (2008) Improvements to NOAA’s historical merged land–ocean surface temperature analysis (1880–2006). J Clim 21:2283–2296

    Article  Google Scholar 

  • Sobel AH, Bretherton CS (1999) Development of synoptic-scale disturbances over the summertime tropical northwest Pacific. J Atmos Sci 56:3106–3127

    Article  Google Scholar 

  • Torn RD, Davis CA (2012) The influence of shallow convection on tropical cyclone track forecasts. Mon Weather Rev 140:2188–2197

    Article  Google Scholar 

  • Vecchi GA et al (2014) On the seasonal forecasting of regional tropical cyclone activity. J Clim 27:7994–8016

    Article  Google Scholar 

  • Villarini G, Vecchi GA, Knutson TR, Smith JA (2011) Is the recorded increase in short-duration North Atlantic tropical storms spurious? J Geophys Res 116:D10114. doi:10.1029/2010JD015493

    Article  Google Scholar 

  • Vitart F, Huddleston MR, Déqué M, Peake D, Palmer TN, Stockdale TN, Davey MK, Ineson S, Weisheimer A (2007) Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP. Geophys Res Lett 34:L16815. doi:10.1029/2007GL030740

    Article  Google Scholar 

  • Wang B, Chan JCL (2002) How strong ENSO events affect tropical storm activity over the western North Pacific. J Clim 15:1643–1658

    Article  Google Scholar 

  • Wang H, Schemm EJ-K, Kumar A, Wang W, Long L, Chelliah M, Bell GD, Peng P (2009) A statistical forecast model for Atlantic seasonal hurricane activity based on the NCEP dynamical seasonal forecast. J Clim 22:4481–4500

    Article  Google Scholar 

  • Wilks DS (2011) Statistical methods in the atmospheric sciences, 3rd edn. Academic press, San Diego

    Google Scholar 

  • World Meteorological Organization (2002) Standardized verification system for long-range forecasts, New attachment II-9 to the manual on the GDPFS. World Meteorological Organization Rep. WMO-No. 485

  • Wu L, Wen Z, Huang R, Wu R (2012) Possible Linkage between the Monsoon Trough Variability and the Tropical Cyclone Activity over the Western North Pacific. Mon Weather Rev 140:140–150

    Article  Google Scholar 

  • Xie XL, Beni GA (1991) Validity measure for fuzzy clustering. IEEE Trans Pattern Anal Mach Intell 13:841–846

    Article  Google Scholar 

  • Zhang Q, Liu Q, Wu L (2009) Tropical cyclone damages in China 1983–2006. Bull Am Meteorol Soc 90:489–495

    Article  Google Scholar 

Download references

Acknowledgments

This study was funded by the Korea Ministry of Environment as “Climate Change Correspondence Program”. We acknowledge the critical comments from an anonymous reviewer.

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Correspondence to Chang-Hoi Ho.

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Choi, W., Ho, CH., Jin, CS. et al. Seasonal forecasting of intense tropical cyclones over the North Atlantic and the western North Pacific basins. Clim Dyn 47, 3063–3075 (2016). https://doi.org/10.1007/s00382-016-3013-y

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