Improvement of TMI Rain Retrievals in Mountainous Areas

被引:154
作者
Shige, Shoichi [1 ]
Kida, Satoshi [2 ]
Ashiwake, Hiroki [3 ]
Kubota, Takuji [2 ]
Aonashi, Kazumasa [4 ]
机构
[1] Kyoto Univ, Grad Sch Sci, Sakyo Ku, Kyoto 6068502, Japan
[2] Japan Aerosp Explorat Agcy, Earth Observat Res Ctr, Tsukuba, Ibaraki, Japan
[3] Osaka Prefecture Univ, Grad Sch Engn, Sakai, Osaka 591, Japan
[4] Japan Meteorol Agcy, Meteorol Res Inst, Tsukuba, Ibaraki, Japan
关键词
MICROWAVE RADIOMETER OBSERVATIONS; COMBINED PASSIVE MICROWAVE; TRMM PRECIPITATION RADAR; MEASURING MISSION TRMM; PROFILING ALGORITHM; TROPICAL RAINFALL; CLASSIFICATION METHODS; SURROUNDING WATERS; SATELLITE; RESOLUTION;
D O I
10.1175/JAMC-D-12-074.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Heavy rainfall associated with shallow orographic rainfall systems has been underestimated by passive microwave radiometer algorithms owing to weak ice scattering signatures. The authors improve the performance of estimates made using a passive microwave radiometer algorithm, the Global Satellite Mapping of Precipitation (GSMaP) algorithm, from data obtained by the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) for orographic heavy rainfall. An orographic/nonorographic rainfall classification scheme is developed on the basis of orographically forced upward vertical motion and the convergence of surface moisture flux estimated from ancillary data. Lookup tables derived from orographic precipitation profiles are used to estimate rainfall for an orographic rainfall pixel, whereas those derived from original precipitation profiles are used to estimate rainfall for a nonorographic rainfall pixel. Rainfall estimates made using the revised GSMaP algorithm are in better agreement with estimates from data obtained by the radar on the TRMM satellite and by gauge-calibrated ground radars than are estimates made using the original GSMaP algorithm.
引用
收藏
页码:242 / 254
页数:13
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