Statistical and Physical Analysis of the Vertical Structure of Precipitation in the Mountainous West Region of the United States Using 11+ Years of Spaceborne Observations from TRMM Precipitation Radar

被引:28
作者
Cao, Qing [1 ,2 ]
Hong, Yang [1 ,2 ,3 ]
Gourley, Jonathan J. [4 ]
Qi, Youcun [4 ]
Zhang, Jian [4 ]
Wen, Yixin [1 ,2 ]
Kirstetter, Pierre-Emmanuel [2 ,4 ]
机构
[1] Univ Oklahoma, Adv Radar Res Ctr, Norman, OK 73019 USA
[2] Natl Weather Ctr, Hydrometeorol & Remote Sensing Lab, Norman, OK USA
[3] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
[4] NOAA, Natl Severe Storms Lab, Norman, OK 73069 USA
关键词
SURFACE REFERENCE TECHNIQUE; RAIN-PROFILING ALGORITHM; MEASURING MISSION TRMM; MELTING-LAYER; BRIGHT BAND; REFLECTIVITY; QPE; SATELLITE; ORBIT;
D O I
10.1175/JAMC-D-12-095.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study presents a statistical analysis of the vertical structure of precipitation measured by NASA-Japan Aerospace Exploration Agency's (JAXA) Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) in the region of southern California, Arizona, and western New Mexico, where the ground-based Next-Generation Radar (NEXRAD) network finds difficulties in accurately measuring surface precipitation because of beam blockages by complex terrain. This study has applied TRMM PR version-7 products 2A23 and 2A25 from 1 January 2000 to 26 October 2011. The seasonal, spatial, intensity-related, and type-related variabilities are characterized for the PR vertical profile of reflectivity (VPR) as well as the heights of storm, freezing level, and bright band. The intensification and weakening of reflectivity at low levels in the VPR are studied through fitting physically based VPR slopes. Major findings include the following: precipitation type is the most significant factor determining the characteristics of VPRs, the shape of VPRs also influences the intensity of surface rainfall rates, the characteristics of VPRs have a seasonal dependence with strong similarities between the spring and autumn months, and the spatial variation of VPR characteristics suggests that the underlying terrain has an impact on the vertical structure. The comprehensive statistical and physical analysis strengthens the understanding of the vertical structure of precipitation and advocates for the approach of VPR correction to improve surface precipitation estimation in complex terrain.
引用
收藏
页码:408 / 424
页数:17
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