ANALYSIS OF TROPICAL CYCLONE PRECIPITATION FOR DIFFERENT INTENSITY CLASS IN NORTHWEST PACIFIC WITH TRMM DATA

LIU Zhe; BAI Jie; HUANG Bing; YAN Jun; ZHOU Zhu-hua; ZHANG Wen-jun

doi:10.16555/j.1006-8775.2016.02.002

Abstract:

Combined with TRMM products and Tropical Cyclone (TC) best track data in Northwest Pacific from 1 January 2003 to 31 December 2009, a total of 118 TCs, including 336 instantaneous TC precipitation observations are established as the TRMM TC database, and the database is stratified into four intensity classes according to the standard of TC intensity adopted by China Meteorological Administration (CMA): Severe Tropical Storm (STS), Typhoon (TY), Severe Typhoon (STY) and Super Typhoon (SuperTY). For each TC snapshot, the mean rainfall distribution is computed using 10-km annuli from the TC center to a 300-km radius, then the axisymmetric component of TC rainfall is represented by the radial distribution of the azimuthal mean rain rate; the mean rain rates, rain types occurrence and contribution proportion are computed for each TC intensity class; and the mean quadrantal distribution of rain rates along TCs motion is analyzed. The result shows that: (1) TCs mean rain rates increase with their intensity classes, and their radial distributions show single-peak characteristic gradually, and furthermore, the characteristics of rain rates occurrence and contribution proportion change from dual-peak to single-peak distribution, with the peak rain rate at about 5.0 mm/h; (2) Stratiform rain dominate the rain type in the analysis zone, while convective rain mainly occurred in the eye-wall region; (3) The values of mean rain rate in each quadrant along TCs motion are close to each other, relatively, the value in the right-rear quadrant is the smallest one.

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LIU Zhe, BAI Jie, HUANG Bing, et al. ANALYSIS OF TROPICAL CYCLONE PRECIPITATION FOR DIFFERENT INTENSITY CLASS IN NORTHWEST PACIFIC WITH TRMM DATA [J]. Journal of Tropical Meteorology, 2016, 22(2): 118-126, https://doi.org/10.16555/j.1006-8775.2016.02.002

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ANALYSIS OF TROPICAL CYCLONE PRECIPITATION FOR DIFFERENT INTENSITY CLASS IN NORTHWEST PACIFIC WITH TRMM DATA

Institute of Aeronautical Meteorology, Beijing 100085 China

Rev Recd Date: 2016-02-08

Abstract: Combined with TRMM products and Tropical Cyclone (TC) best track data in Northwest Pacific from 1 January 2003 to 31 December 2009, a total of 118 TCs, including 336 instantaneous TC precipitation observations are established as the TRMM TC database, and the database is stratified into four intensity classes according to the standard of TC intensity adopted by China Meteorological Administration (CMA): Severe Tropical Storm (STS), Typhoon (TY), Severe Typhoon (STY) and Super Typhoon (SuperTY). For each TC snapshot, the mean rainfall distribution is computed using 10-km annuli from the TC center to a 300-km radius, then the axisymmetric component of TC rainfall is represented by the radial distribution of the azimuthal mean rain rate; the mean rain rates, rain types occurrence and contribution proportion are computed for each TC intensity class; and the mean quadrantal distribution of rain rates along TCs motion is analyzed. The result shows that: (1) TCs mean rain rates increase with their intensity classes, and their radial distributions show single-peak characteristic gradually, and furthermore, the characteristics of rain rates occurrence and contribution proportion change from dual-peak to single-peak distribution, with the peak rain rate at about 5.0 mm/h; (2) Stratiform rain dominate the rain type in the analysis zone, while convective rain mainly occurred in the eye-wall region; (3) The values of mean rain rate in each quadrant along TCs motion are close to each other, relatively, the value in the right-rear quadrant is the smallest one.

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[1]	LONFAT M, MARKS F D, CHEN S S. Precipitation distribution in tropical cyclones using the Tropical Rainfall Measuring Mission (TRMM) microwave imager: A global perspective [J]. Mon Wea Rev, 2004, 132: 1 645-1 660.
[2]	MILLER B. Rainfall rates in Florida hurricanes [J]. Mon Wea Rev, 1958, 86: 258-264.
[3]	FRANK W M. The structure and energetics of the tropical cyclone I: Storm structure [J]. Mon Wea Rev, 1977, 105: 1 119-1 135.
[4]	KUBOTA H, WANG B. How much do tropical cyclones affect seasonal and interannual rainfall variability over the western North Pacific? [J] J Climate, 2009, 22: 5 495-5 510.
[5]	MARZANO F S, CIMINI D, MONTOPOLI M. Investigating precipitation microphysics using ground-based microwave remote sensors and disdrometer data [J]. Atmos Res, 2010, 97: 583-600.
[6]	PARISH J R, BURPEE R W, Marks F D, et al. Rainfall pattern observed by digitized radar during the landfall of hurricane Frederic(1979) [J]. Mon Wea Rev, 1982, 110: 1 933-1 944.
[7]	MARKS F D. Evolution of the structure of precipitation in Hurricane Allen (1980) [J]. Mon Wea Rev, 1985, 113: 909-930.
[8]	BURPEE R W, BLACK M L. Temporal and spatial variations of rainfall near the centers of two tropical cyclones [J]. Mon Wea Rev, 1989, 117: 2 204-2 218.
[9]	REASOR P D, MONTGOMERY M T, MARKS F D, et al. Low-wavenumber structure and evolution of the hurricane inner core observed by airborne dual-doppler radar [J]. Mon Wea Rev, 2000, 128: 506-521.
[10]	RODGERS E B, ADLER R F. Tropical cyclone rainfall characteristics as determined from a satellite passive microwave radiometer [J]. Mon Wea Rev, 1981, 109: 506-521.
[11]	RODGERS E B, BAIK J J, PIERCE H F. The environmental influence on tropical cyclone precipitation [J]. J Appl Meteorol, 1994, 33: 573-593.
[12]	CECIL D J, ZIPSER E J, NESBITT S W. Reflectivity, ice scatting and lighting characteristics of hurricane eyewalls and rainbands. Part I: Quantitative description [J]. Mon Wea Rev, 2002, 130: 769-784.
[13]	YOKOYAMA C, TAKAYABU Y N. A statistical study on rain characteristics of tropical cyclones using TRMM satellite data [J]. Mon Wea Rev, 2008, 136: 3 848-3 862.
[14]	JIANG H Y, ZIPSER E J. Contribution of tropical cyclones to the global precipitation from eight seasons of TRMM data: regional, seasonal, and interannual variations [J]. J Climate, 2010, 23: 1 526-1 543.
[15]	CORBOSIERO K L, MOLINARI J. The relationship between storm motion, vertical wind shear, and convective asymmetries in tropical cyclones [J]. J Atmos Sci, 2003, 60: 366-376.
[16]	CHEN S S, KNAFF J A, MARKS F D. Effects of vertical wind shear and storm motion on tropical cyclone rainfall asymmetries deduced from TRMM [J]. Mon Wea Rev, 2006, 134: 3 190-3 208.
[17]	TAO Li, Song YANG, LU Wei-song. 20 to 30-day and 30 to 60-day oscillations in assimilated global datasets using TRMM rainfall observations [J]. J Trop Meteorol, 2010, 16(3): 210-230.
[18]	PU Jiang-ping, LV Mei, ZOU Li. An analysis of the asymmetrical structure of typhoon Aere’s precipitation [J]. J Trop Meteorol, 2010, 16(1): 91-95.
[19]	YANG S, SMITH E A. Mechanisms for diurnal variability of global tropical rainfall observed from TRMM [J]. J Climate, 2006, 19: 5 190-5 226.
[20]	YANG S, SMITH E A. Convective-stratiform precipitation variability at seasonal scale from 8 year of TRMM observations: implications for multiple modes of diurnal variability [J]. J Climate, 2008, 21: 4 087-4 114.
[21]	IGUCHI T, KOZU T, MENEGHINI R, et al. Rain-profiling algorithm for the TRMM precipitation radar [J]. J Appl Meteorol, 2000, 39: 2 038-2 052.
[22]	KUMMEROW C, BARNES W, KOZU T, et al. The tropical rainfall measuring mission (TRMM) sensor package [J]. J Atmos Ocean Technol, 1998, 15: 809-817.
[23]	KUMMEROW C, SIMPSON J, THIELE O, et al. The status of the tropical rainfall measuring mission (TRMM) after two years in orbit [J]. J Appl Meteorol, 2000, 39: 1 965-1 982.
[24]	MARKS F D, HOUZE R A. Inner core structure of hurricane Alicia from airborne Doppler radar observations [J]. J Atmos Sci, 1987, 44: 1 296-1 317.
[25]	HOUZE R A. Mesoscale convective systems [J]. Rev Geophys, 2004, 42, RG4003, doi: 10.1029/2004RG000150.
[26]	LIN J L, MAPS B, ZHANG M H. Stratiform Precipitation, vertical heating profiles and the madden-julian oscillation [J]. J Atmos Sci, 2006, 61: 296-309.
[27]	AWAKA J, IGUCHI T, KUMAGAI H, et al. Rain type classification algorithm for TRMM precipitation radar [C]. Proc IGARSS’97, Singapore, IEEE, 1997: 1 633-1 635.
[28]	LIANG L, MENEGHINI R, IGUCHI T. Comparisons of rain rate and reflectivity factor derived from the TRMM precipitation radar and the WSR-88D over the Meibourne, Florida, site [J]. J Atmos Ocean Technol, 2001, 18(12): 1 959-1 974.
[29]	WILLOUGHBY H E, JIN H L, LORD S J, et al. Hurricane structure and evolution as simulated by an axisymmetric, nonhydrostatic numerical model [J]. J Atmos Sci, 1984, 41: 1 169�C1 186.
[30]	FRANKLIN J L, LORD S J, FEUER S E, et al. The Kinematic Structure of Hurricane Gloria (1985) Determined from Nested Analyses of Dropwindsonde and Doppler Radar Data [J]. Mon Wea Rev, 1993, 121: 2 433-2 442.
[31]	BLACKWELL K G. The Evolution of Hurricane Danny (1997) at Landfall: Doppler-Observed Eyewall Replacement, Vortex Contraction/Intensification, and Low-Level Wind Maxima [J]. Mon Wea Rev, 2000, 128: 4 002-4 016.
[32]	UENO M. Observational analysis and numerical evaluation of the effects of vertical wind shear on the rainfall asymmetry in the typhoon inner-core region [J]. J Meteorol Soc Japan, 2007, 85: 115-136.
[33]	MATTHEW T W, DANIEL J C. Effects of vertical wind shear on tropical cyclone precipitation [J]. Mon Wea Rev, 2010, 138: 645-662.

ANALYSIS OF TROPICAL CYCLONE PRECIPITATION FOR DIFFERENT INTENSITY CLASS IN NORTHWEST PACIFIC WITH TRMM DATA

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