The variability of vertical structure of precipitation in Huaihe River Basin of China: Implications from long-term spaceborne observations with TRMM precipitation radar

被引:36
作者
Cao, Qing [1 ,2 ]
Qi, Youcun [1 ]
机构
[1] Nanjing Univ Informat Sci Technol, Coll Atmospher Sci, Nanjing, Jiangsu, Peoples R China
[2] Enterprise Elect Corp, Norman, OK USA
基金
美国国家科学基金会;
关键词
MEASURING MISSION TRMM; MESOSCALE CONVECTIVE SYSTEMS; SURFACE REFERENCE TECHNIQUE; WARM-SEASON PRECIPITATION; RAIN-PROFILING ALGORITHM; BRIGHT BAND; DIURNAL-VARIATIONS; MELTING LAYER; PART I; REFLECTIVITY;
D O I
10.1002/2013WR014555
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The current study investigates the variability of vertical structure of precipitation in the Huaihe River Basin (HRB) of China. The precipitation characteristics have been revealed by the long-term observations of vertical profile of reflectivity (VPR) from the first spaceborne precipitation radar (PR) onboard the National Aeronautics and Space Administration (NASA)'s Tropical Rainfall Measuring Mission (TRMM) satellite. This study has statistically analyzed the latest TRMM 2A-23 and 2A-25 products (version 7, released in 2012) with similar to 15 years time span (from 11 December 1997 to 19 August 2012). First, the spatial and seasonal variations of storm height and freezing level have been investigated. The results show a climatological relation connecting the storm height with the rainfall rate in HRB. Second, mean VPRs have been studied for the stratiform and convective precipitation. The VPR variability has been analyzed for different seasons and rain intensities. Third, the characteristics of rain intensification and weakening in the vertical direction have been examined by the statistical analysis of VPR slope below the melting layer. The results show that the rainfall tends to be reduced (or intensified) with the height changing downward in the light (or moderate and heavy) precipitating clouds, no matter stratiform or convection. Finally, the S-band climatological VPRs have been characterized by converting the VPR from Ku-band to S-band. Considering the wide application of national radar network for weather surveillance in China, the developed S-band climatological VPRs can be potentially applied in a VPR correction scheme to improve the ground radar-based quantitative precipitation estimation (QPE) in this river basin.
引用
收藏
页码:3690 / 3705
页数:16
相关论文
共 77 条
[1]  
Awaka J., 1998, Proc. 8th URSI Commission F Open Symp, P143
[2]   TRMM PR Standard Algorithm 2A23 and its Performance on Bright Band Detection [J].
Awaka, Jun ;
Iguchi, Toshio ;
Okamoto, Ken'ichi .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2009, 87A :31-52
[3]   Diurnal Variations of Warm-Season Precipitation East of the Tibetan Plateau over China [J].
Bao, Xinghua ;
Zhang, Fuqing ;
Sun, Jianhua .
MONTHLY WEATHER REVIEW, 2011, 139 (09) :2790-2810
[4]   Error statistics of VPR corrections in stratiform precipitation [J].
Bellon, A ;
Lee, G ;
Zawadzki, I .
JOURNAL OF APPLIED METEOROLOGY, 2005, 44 (07) :998-1015
[5]  
BIGGERSTAFF MI, 1993, J ATMOS SCI, V50, P3091, DOI 10.1175/1520-0469(1993)050<3091:KAMOTT>2.0.CO
[6]  
2
[7]   Enhancing Quantitative Precipitation Estimation Over the Continental United States Using a Ground-Space Multi-Sensor Integration Approach [J].
Cao, Qing ;
Wen, Yixin ;
Hong, Yang ;
Gourley, Jonathan J. ;
Kirstetter, Pierre-Emmanuel .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (07) :1305-1309
[8]   Empirical conversion of the vertical profile of reflectivity from Ku-band to S-band frequency [J].
Cao, Qing ;
Hong, Yang ;
Qi, Youcun ;
Wen, Yixin ;
Zhang, Jian ;
Gourley, Jonathan J. ;
Liao, Liang .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (04) :1814-1825
[9]   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 [J].
Cao, Qing ;
Hong, Yang ;
Gourley, Jonathan J. ;
Qi, Youcun ;
Zhang, Jian ;
Wen, Yixin ;
Kirstetter, Pierre-Emmanuel .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2013, 52 (02) :408-424
[10]   Efficient Ways to Learn Weather Radar Polarimetry [J].
Cao, Qing ;
Yeary, Mark B. ;
Zhang, Guifu .
IEEE TRANSACTIONS ON EDUCATION, 2012, 55 (01) :58-68