Rainfall retrieval over the ocean with spaceborne W-band radar

被引:284
作者
Haynes, John M. [1 ]
L'Ecuyer, Tristan S. [1 ]
Stephens, Graeme L. [1 ]
Miller, Steven D. [2 ]
Mitrescu, Cristian [3 ]
Wood, Norman B. [1 ]
Tanelli, Simone [4 ]
机构
[1] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
[2] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA
[3] USN, Res Lab, Monterey, CA 93943 USA
[4] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
基金
美国国家航空航天局;
关键词
MICROWAVE BRIGHTNESS TEMPERATURES; MONTE-CARLO INTEGRATION; MILLIMETER-WAVE RADAR; MELTING-LAYER; SIZE DISTRIBUTIONS; PRECIPITATION; MODEL; SCATTERING; ALGORITHM; ICE;
D O I
10.1029/2008JD009973
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A method for retrieving precipitation over the ocean using spaceborne W-band (94 GHz) radar is introduced and applied to the CloudSat Cloud Profiling Radar. The method is most applicable to stratiform-type precipitation. Measurements of radar backscatter from the ocean surface are combined with information about surface wind speed and sea surface temperature to derive the path-integrated attenuation through precipitating cloud systems. The scattering and extinction characteristics of raindrops are modeled using a combination of Mie theory (for raindrops) and the discrete dipole approximation (for ice crystals and melting snow), and a model of the melting layer is implemented to represent the transition between ice and liquid water. Backward Monte Carlo modeling is used to model multiple scattering from precipitating hydrometeors between the radar and ocean surface, which is shown to be significant for precipitation rates exceeding 3-5 mm h(-1), particularly when precipitating ice is present. An uncertainty analysis is presented and the algorithm is applied to near-global CloudSat observations and compared with other near-global precipitation sources. In the tropics, CloudSat tends to underestimate the heaviest precipitation. It is found that in the middle latitudes, however, CloudSat observes precipitation more often and with greater resulting accumulation than other spaceborne sensors.
引用
收藏
页数:18
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