Statistical properties of precipitation as observed by the TRMM precipitation radar

被引:29
作者
Yang, Song [1 ]
Nesbitt, Stephen W. [2 ]
机构
[1] Naval Res Lab, Monterey, CA 93943 USA
[2] Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USA
关键词
TRMM; precipitation; radar; RAIN-PROFILING ALGORITHM; STRATIFORM PRECIPITATION; DIURNAL VARIABILITY; SATELLITE; CLIMATOLOGY; DATASETS; CLOUDS; MODES; CYCLE;
D O I
10.1002/2014GL060683
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The statistical properties of tropic-subtropic precipitation are revealed with 13years of Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) measurements. About 3% of PR observations are raining pixels. The average daily rainfall over 37.5 degrees N-37.5 degrees S is 1.28, 1.18, and 2.46mmd(-1) for convective, stratiform, and total rain, respectively, indicating 51.85% from convective rain and 48.09% from stratiform rain. The related values are 1.300, 1.272, and 2.573mmd(-1) over ocean and 1.22, 0.97, and 2.19mmd(-1) over land, indicating a convective rain fraction of 50.51% over ocean and 55.77% over land. The 92% (93%) and 73% (55%) of rain events over ocean (land) are from stratiform and convective rain <5mmh(-1), respectively, while the associated rainfall contributions in stratiform and convective rain are 62% (68%) and 27% (15%) over ocean (land). Results demonstrate that contributions from large rain intensity events are very importation in total precipitation, especially over land. The rainfall missed by TRMM PR is mostly light rain and does not significantly impact large-scale statistics of convective and stratiform rain amount. Light rain will increase the total precipitation by about 10% and, if considered a separate category, decrease the observed convective and stratiform rain contributions about 10% over the PR domain. These statistical properties of precipitation could be utilized as a baseline in the assessment of precipitation from operational numerical weather prediction and climate models.
引用
收藏
页码:5636 / 5643
页数:8
相关论文
共 45 条
[1]   A Ten-Year Tropical Rainfall Climatology Based on a Composite of TRMM Products [J].
Adler, Robert F. ;
Wang, Jian-Jian ;
Gu, Guojun ;
Huffman, George J. .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2009, 87A :281-293
[2]  
Anagnostou EN, 2001, J ATMOS OCEAN TECH, V18, P616, DOI 10.1175/1520-0426(2001)018<0616:TUOTPR>2.0.CO
[3]  
2
[4]   Monitoring and forecasting drought impact on dryland farming areas [J].
Arshad, Saleh ;
Morid, Saeed ;
Mobasheri, Mohammad Reza ;
Alikhani, Majid Agha ;
Arshad, Sajjad .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2013, 33 (08) :2068-2081
[5]  
Awaka J, 2007, ADV GLOB CHANGE RES, V28, P213, DOI 10.1007/978-1-4020-5835-6_17
[6]   ASSIMILATING SATELLITE OBSERVATIONS OF CLOUDS AND PRECIPITATION INTO NWP MODELS [J].
Bauer, Peter ;
Ohring, George ;
Kummerow, Chris ;
Auligne, Tom .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (06) :ES25-ES28
[7]   The Distribution of Rainfall over Oceans from Spaceborne Radars [J].
Berg, Wesley ;
L'Ecuyer, Tristan ;
Haynes, John M. .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2010, 49 (03) :535-543
[8]   Very high resolution rainfall patterns measured by TRMM precipitation radar: seasonal and diurnal cycles [J].
Biasutti, Michela ;
Yuter, Sandra E. ;
Burleyson, Casey D. ;
Sobel, Adam H. .
CLIMATE DYNAMICS, 2012, 39 (1-2) :239-258
[9]   Mesoscale variability and drizzle in Southeast Pacific stratocumulus [J].
Comstock, KK ;
Bretherton, CS ;
Yuter, SE .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2005, 62 (10) :3792-3807
[10]   Object-based verification of precipitation forecasts. Part II: Application to convective rain systems [J].
Davis, Christopher ;
Brown, Barbara ;
Bullock, Randy .
MONTHLY WEATHER REVIEW, 2006, 134 (07) :1785-1795