Comparison of three western North Pacific tropical cyclone best track datasets in a seasonal context

Journal of the Meteorological Society of Japan

Volumn 89, Issue 3, 2011, Pages 211-224

  Ying, Ming ^a   Cha, Eun Jeong ^b   Kwon, H Joe ^c  

^a NATIONAL CLIMATE CENTER   (China)

^b National Typhoon Center   (South Korea)

^c Kongju National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL CYCLE; ANNUAL VARIATION; CLUSTER ANALYSIS; DATA SET; GEOSTATISTICS; GLOBAL WARMING; INHOMOGENEITY; STORM TRACK; TROPICAL CYCLONE;

PACIFIC OCEAN; PACIFIC OCEAN (NORTH);

EID: 79960122151     PISSN: 00261165     EISSN: None     Source Type: Journal    
DOI: 10.2151/jmsj.2011-303     Document Type: Article

References (25)

1. Atkinson G.D.,and C.R. Holliday,1977:Tropicalcyclone minimum sea level pressure/maximum sustained wind relationship for the western NorthPacific. Mon.Wea. Rev., 105, 421-427.
2. Bell, G. D., and coauthors, 2000: Climate Assessment for 1999. Bull. Amer. Meteor. Soc., 81, s1-s50.
3. Camargo, S. J., A. Robertson, S. J. Gaffney,P. Smyth, and M. Ghil, 2007: Cluster analysisof typhoon tracks.Part I: General properties. J. Climate, 20, 3635-3653.
4. Emanuel, K., 2005: Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436, 686-688. doi: 10.1038/nature03906.
5. Gaffney, S. J., 2004: Probabilistic curve-aligned clustering and prediction with regression mixture methods. Ph.D Thesis, Univ. of California, Irvine, USA.
6. Gray W. M., C. W. Landsea, P. W. Mielke Jr., and K. J. Berry, 1992: Predicting Atlantic Seasonal HurricaneActivity 6-11 Months in Advance. Wea.Forecasting, 7, 440-455.
7. Hartigan J.A., and M.A. Wong. 1979:AK-means clustering algorithm. Appl. Statistics, 28, 100-108.
8. Kamahori, H., N. Yamazaki, N. Mannoji, and K. Takahashi, 2006:Variabilityin intense tropicalcyclonedays in the western NorthPacific. SOLA, 2, 104-107. doi: 10.2151/sola.2006-027.
9. Ketchen, David J., Jr., and C. L. Shook, 1996: The application of cluster analysis in Strategic Management Research: An analysis and critique. Strategic ManagementJournal, 17, 441-458.
10. Kim, H.-Y., J.-H. Kim, C.-H. Ho, andP.-S. Chu, 2011:Pattern classificationof typhoon tracks using the fuzzy c-means clustering method. J. Climate, 24, 488-508.
11. Kossin J.P.,K.R. Knapp,D.J. Vimont,R.J. Murnane,and B.A. Harper,2007:AGlobally consistent reanalysisof hurricane variability and trends. Geophys. Res. Lett., 34:L04815, doi: 10.1029/2006GL028836.
12. Kwon, H.-J., S.-H. Won, and S.-K. Park, 2006: Climatological differences between the twotyphoon centers' tropicalcyclone informationin the western NorthPacific. J.Korean Meteor. Soc., 42, 183-192.
13. Kwon, H.-J., W.-J. Lee, S.-H. Won, and E.-J. Cha, 2007: Statistical ensemble prediction of the tropical cyclone activityover the western NorthPacific. Geophys. Res. Lett., 34:L24805, doi: 10.1029/2007GL032308.
14. Lander, M. A., 1994: An exploratory analysis of the relationship between Tropical Storm Formation in the Western NorthPacific and ENSO.Mon.Wea. Rev.,122, 636-651.
15. Landsea, C.W., B. A. Harper, K. Hoarau, and J. A. Knaff, 2006: CanWe DetectTrends in ExtremeTropical Cyclones? Nature, 313, 452-454.
16. Lee H.-K.,P.-S. Chu, C.-H. Sui, and K.-M. Lau, 1998:On the annualcycleof latentheatfluxesoverthe equatorial Pacific usingTAObuoy observations. J. Meteor. Soc. Japan, 76, 909-923.
17. Lei, X., 2001: The Precision Analysis of the Best Positioning on WNP TC. J.Trop. Meteor., 17, 65-70, (in Chinese with English Abstract).
18. McGill R.,J.W. Tukey,and W.A. Larsen, 1978:Variations of box plots. The American Statistician, 32, 12-16.
19. Sprent P., and N. C. Smeeton, 2000: Applied nonparametric statistical methods, 3rd ed. Chapman&Hall/CRC, London, UK, 480.
20. Wang, X., L. Wu,F. Ren,Y. Wang, and W. Li, 2008, Influences of tropical cyclones on China During 1965- 2004. Adv. Atmos. Sci., 25, 417-426.
21. Wu M.C.,K.H. Yeung,and W.L. Chang, 2006:Trendsin western NorthPacificTropical Cyclone Intensity. EOS, 87, 537-548.
22. Yu, H., C. Hu, and L. Jiang, 2007: Comparison of Three Tropical Cyclone Intensity Datasets.Acta Meteorologica Sinica, 21, 121-128.
23. Zhang, X.T., 1998: Computational handbook for wind engineering. China Architecture andbuilding press: Beijing. 216 pp. (in Chinese).
24. Zhang, X., and M.Ying, 2009: Analysis the differences of three tropicalcyclone best track datasets. MarineForecasts, 26, 60-70.
25. WMO, 2010: Guidelines for converting between various wind averaging periods in tropical cyclone conditions. World Meteorological Organization,Tropical Cyclone Programme Report, in press.