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PREDICTION OF TROPICAL DISTURBANCE DEVELOPMENT OVER THE SOUTH CHINA SEA USING SSM/I DATA

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doi: 10.3969/j.issn.1006-8775.2012.02.013

  • This paper proposes a method for predicting the development of tropical disturbance over the South China Sea (SCS) based on the total latent heat release (TLHR) derived from the Special Sensor Microwave/Imager (SSM/I) satellite observations. A threshold value of daily mean TLHR (3×1014 W) for distinguishing the non-developing and developing tropical disturbances is obtained based on the analysis for 25 developing and 43 non-developing tropical disturbances over the SCS during 2000 to 2005. If the mean TLHR within 500 km of a disturbance on the latest day and its daily mean TLHR during previous life are both greater than 3×1014 W, the disturbance will be a developing one in the future. Otherwise, it is a non-developing one. A real-time testing prediction of tropical cyclogenesis over the SCS was conducted for the years 2007 and 2008 using this threshold value of TLHR. We find that the method is successful in detecting the development of 80% of all tropical disturbances over the SCS in 2007 and 2008.
  • [1] GRAY W M. Global view of the origin of tropical disturbances and storms [J]. Mon. Wea. Rev., 1968, 96(10): 669-700.
    [2] EMANUEL K A. The finite-amplitude nature of tropical cyclogenesis [J]. J. Atmos. Sci., 1989, 46(22): 3431-3456.
    [3] HOLWEG E J. Mariner's guide for hurricane awareness in the North Atlantic Basin [M]. Silver Spring, 2000: 1-57.
    [4] Campus Information Technologies and educational Services, List Archives at LISTSERV.ILLINOIS.EDU [DB/OL].[2011-09-30]. https://listserv.illinois.edu/archives.
    [5] WANG G, SU J, DING Y. Tropical cyclone genesis over the South China Sea [J]. J. Mar. Syst., 2007, 68: 318-326.
    [6] Wang G H, Chen D, SU J. Winter eddy genesis in the eastern South China Sea due to orographic wind jets [J]. J. Phys. Oceanogr., 2008, 38(3): 726-732.
    [7] DVORAK V F. Tropical cyclone intensity analysis and forecasting from satellite imagery [J]. Mon. Wea. Rev., 1975, 103(5): 420-430.
    [8] McBRIDE J L, ZEHR R. Observational analysis of tropical cyclone formation, Part II: Comparison of non-developing versus developing systems [J]. J. Atmos. Sci., 1981, 38(3): 1132-1151.
    [9] KATSAROS K B, FORDE E B, CHANG P, et al. QuikSCAT's sea winds facilitates early identification of tropical depressions in 1999 Hurricane season [J]. Geophys. Res. Lett., 2001, 28(6): 1043-1046.
    [10] SHARP R J, BOURASSA M A, O'BRIEN J. Early detection of tropical cyclones using seawinds-derived vorticity[J]. Bull. Amer. Meteor. Soc., 2002, 83(6): 879-889.
    [11] VENKATESH T N, MATHEW J. Prediction of tropical cyclogenesis using a vortex merger index [J]. Geophys. Res. Lett., 2004, 31: L04105, doi:10.1029/2003GL019005.
    [12] WU D, ZHAO X, FENG W, et al. The statistical analysis to the local harmful typhoon of South China Sea [J]. J. Trop. Meteor., 2005, 21(3): 309-314 (in Chinese).
    [13] XU K, EMANUEL K A. Is the tropical atmosphere conditionally unstable? [J]. Mon. Wea. Rev., 1989, 117(7): 1471-1479.
    [14] WILLIAMS E. An analysis of the conditional instability of the tropical atmosphere [J]. Mon. Wea. Rev., 1993, 121(1): 21-36.
    [15] ADLER R F, RODGERS E B. Satellite-observed latent heat release in a tropical cyclone [J]. Mon. Wea. Rev., 1977, 105(8): 956-963.
    [16] RODGERS E B, ADLER R F. Tropical cyclone rainfall characteristics as determined from a satellite passive microwave radiometer [J]. Mon. Wea. Rev., 1981, 109(3): 506-521.
    [17] WANG L, LAU K, ZHANG Q, et al. Observation of non-developing and developing tropical disturbances over the South China Sea using SSM/I satellite [J]. Geophys. Res. Lett., 2008, 35: L10802, doi:10.1029/2008GL033446.
    [18] WANG L. Study of tropical cyclogenesis over the South China Sea [D]. Hong Kong: Hong Kong University of Science and Technology, 2008.
    [19] HOLLINGER J R, LO P G, SAVAGE R, et al. Special Sensor Microwave/Imager user's guide [R]. Washington DC: Naval Research Laboratory Tech. Report, 1987, 120pp.
    [20] WENTZ F J. A well-calibrated ocean algorithm for Special Sensor Microwave/Imager [J]. J. Geophys. Res., 1997, 102(C4): 8703-8718.
    [21] WENTZ F J, SPENCER RW. SSM/I rain retrievals within a unified all-weather ocean algorithm [J]. J. Atmos. Sci., 1998, 55(9): 1613-1627.
    [22] VOLLAND H. Handbook of Atmospherics (Vol. II) [M]. Boca Raton: CRC Press, 1982: 1867-1871.
    [23] 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 50 years [J]. J. Trop. Meteor., 2007, 13(2): 189-192.

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ZHANG Chao, SHU Hai-long, ZHANG Qing-hong, et al. PREDICTION OF TROPICAL DISTURBANCE DEVELOPMENT OVER THE SOUTH CHINA SEA USING SSM/I DATA [J]. Journal of Tropical Meteorology, 2012, 18(2): 242-248, https://doi.org/10.3969/j.issn.1006-8775.2012.02.013
ZHANG Chao, SHU Hai-long, ZHANG Qing-hong, et al. PREDICTION OF TROPICAL DISTURBANCE DEVELOPMENT OVER THE SOUTH CHINA SEA USING SSM/I DATA [J]. Journal of Tropical Meteorology, 2012, 18(2): 242-248, https://doi.org/10.3969/j.issn.1006-8775.2012.02.013
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Manuscript received: 30 September 2011
Manuscript revised: 15 February 2012
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PREDICTION OF TROPICAL DISTURBANCE DEVELOPMENT OVER THE SOUTH CHINA SEA USING SSM/I DATA

doi: 10.3969/j.issn.1006-8775.2012.02.013

Abstract: This paper proposes a method for predicting the development of tropical disturbance over the South China Sea (SCS) based on the total latent heat release (TLHR) derived from the Special Sensor Microwave/Imager (SSM/I) satellite observations. A threshold value of daily mean TLHR (3×1014 W) for distinguishing the non-developing and developing tropical disturbances is obtained based on the analysis for 25 developing and 43 non-developing tropical disturbances over the SCS during 2000 to 2005. If the mean TLHR within 500 km of a disturbance on the latest day and its daily mean TLHR during previous life are both greater than 3×1014 W, the disturbance will be a developing one in the future. Otherwise, it is a non-developing one. A real-time testing prediction of tropical cyclogenesis over the SCS was conducted for the years 2007 and 2008 using this threshold value of TLHR. We find that the method is successful in detecting the development of 80% of all tropical disturbances over the SCS in 2007 and 2008.

ZHANG Chao, SHU Hai-long, ZHANG Qing-hong, et al. PREDICTION OF TROPICAL DISTURBANCE DEVELOPMENT OVER THE SOUTH CHINA SEA USING SSM/I DATA [J]. Journal of Tropical Meteorology, 2012, 18(2): 242-248, https://doi.org/10.3969/j.issn.1006-8775.2012.02.013
Citation: ZHANG Chao, SHU Hai-long, ZHANG Qing-hong, et al. PREDICTION OF TROPICAL DISTURBANCE DEVELOPMENT OVER THE SOUTH CHINA SEA USING SSM/I DATA [J]. Journal of Tropical Meteorology, 2012, 18(2): 242-248, https://doi.org/10.3969/j.issn.1006-8775.2012.02.013
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