Impacts of SSM/I retrieved rainfall rates on numerical prediction of a tropical cyclone

被引:0
|
作者
Peng, MS [1 ]
Chang, SW [1 ]
机构
[1] USN,RES LAB,MONTEREY,CA 93943
关键词
D O I
10.1175/1520-0493(1996)124<1181:IOSRRR>2.0.CO;2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Special Sensor Microwave/Imager (SSM/I) retrieved rainfall rates were assimilated into a limited-area numerical prediction model in an attempt to improve the initial analysis and forecast of a tropical cyclone. Typhoon Flo of 1990, which was observed in an intensive observation period of the Tropical Cyclone Motion Experiment-1990, was chosen for this study. The SSM/I retrieved rainfall rates within 888 km (8 degrees latitude) of the storm center were incorporated into the initial fields by a reversed Kuo cumulus parameterization. In the procedure used here, the moisture field in the model is adjusted so that the model generates the SSM/I-observed rainfall rates. This scheme is applied through two different assimilation methods. The first method is based on a dynamic initialization in which the prediction model is integrated backward adiabatically to t = -6 h and then forward diabatically for 6 h to the initial time. During the diabatic forward integration, the SSM/I rainfall rates are incorporated using the reversed Kuo cumulus parameterization. The second method is a forward data assimilation integration starting from t = -12 h. From t = -6 h to t = 0, the SSM/I rainfall rates are incorporated, also using the reversed Kuo scheme. During this period, the momentum fields are relaxed to the initial (t = 0) analysis to reduce the initial position error generated during the preforecast integration. Five cases for which SSM/I overpasses were available were tested, including two case's before and three after Flo's recurvature. Forecasts at 48 h are compared with the actual storm track and intensities estimated by the Joint Typhoon Warning Center. For the five cases tested, the assimilation of SSM/I retrieved rainfall rates reduced the average 48-h forecast distance error from 239 km in the control runs to 81 km in the assimilation experiments. It is postulated that the large positive impact was a consequence of the improved forecast intensity acid speed of the typhoon when the SSM/I rain-rate data were assimilated.
引用
收藏
页码:1181 / 1198
页数:18
相关论文
共 50 条
  • [11] TROPICAL OCEANIC RAINFALL - ESTIMATION FROM SMMR AND SSM/I
    PRABHAKARA, C
    DALU, G
    VOLLMER, BE
    FOURTH CONFERENCE ON SATELLITE METEOROLOGY AND OCEANOGRAPHY, 1989, : 79 - 82
  • [12] Multi-satellite tropical cyclone structure (SSM/I & TMI)
    Hawkins, JD
    Lee, TF
    Turk, FJ
    Richardson, KL
    Sampson, C
    Kent, J
    24TH CONFERENCE ON HURRICANES AND TROPICAL METEOROLOGY/10TH CONFERENCE ON INTERACTION OF THE SEA AND ATMOSPHERE, 2000, : 482 - 483
  • [13] SSM/I OBSERVATION OF TROPICAL CYCLONE GALE FORCE VICINITY WINDS
    HOLLIDAY, CR
    WATERS, KR
    FOURTH CONFERENCE ON SATELLITE METEOROLOGY AND OCEANOGRAPHY, 1989, : 267 - 270
  • [14] Global climatology of rainfall rates and lifetime accumulated rainfall in tropical cyclones: Influence of cyclone basin, cyclone intensity and cyclone size
    Lavender, Sally L.
    McBride, John L.
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 41 (S1) : E1217 - E1235
  • [15] TROPICAL CYCLONE CENTER-FIXING USING DMSP SSM/I DATA
    VELDEN, CS
    OLSON, WS
    ROTH, BA
    FOURTH CONFERENCE ON SATELLITE METEOROLOGY AND OCEANOGRAPHY, 1989, : J36 - J39
  • [16] An automated method to estimate tropical cyclone intensity using SSM/I imagery
    Bankert, RL
    Tag, PM
    JOURNAL OF APPLIED METEOROLOGY, 2002, 41 (05): : 461 - 472
  • [17] EnKF Assimilation of Satellite retrieved Cloud Water Path to Improve Tropical Cyclone Rainfall Forecast
    Gao Xiao-yu
    Lin Yan-luan
    Yue Jian
    JOURNAL OF TROPICAL METEOROLOGY, 2021, 27 (03) : 201 - 217
  • [18] Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016)
    Maw, Khin Win
    Min, Jinzhong
    ADVANCES IN METEOROLOGY, 2017, 2017
  • [19] Detection of Tropical Cyclone PHET Using 19.35GHz SSM/I Data
    Calla, O. P. N.
    Singhal, Shruti
    Dadhich, Harendra Kumar
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2015, 44 (03) : 404 - 410
  • [20] Tropical cyclone surface wind information from satellite scatterometers and SSM/I data
    Hawkins, JD
    Helveston, MJ
    22ND CONFERENCE ON HURRICANES AND TROPICAL METEOROLOGY, 1997, : 55 - 56