Scaling of tropical rainfall as observed by TRMM precipitation radar

被引:19
作者
Gebremichael, Mekonnen [2 ]
Krajewski, Witold F. [1 ]
Over, Thomas M. [3 ]
Takayabu, Yukari N. [4 ]
Arkin, Phillip [3 ]
Katayama, M. [4 ]
机构
[1] Univ Iowa, IIHR Hydrosci & Engn, Iowa City, IA 52242 USA
[2] Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA
[3] Eastern Illinois Univ, Dept Geol Geog, Charleston, IL 61920 USA
[4] Univ Tokyo, Ctr Climate Syst Res, Tokyo 1138654, Japan
基金
美国国家航空航天局;
关键词
rainfall; scaling; TRMM satellite;
D O I
10.1016/j.atmosres.2007.11.028
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We used a three-year (1998-2000) dataset of TRMM Precipitation Radar observations to investigate the scaling properties of spatial rainfall fields. This dataset allows consideration of spatial scales ranging from about 4.3 km to 138 km and short temporal scales corresponding to the sensor overpasses. The focus is on the marginal spatial moment scaling, which allows estimation of the scaling parameters from a single scene of data. Here we present a global perspective of the scaling properties of tropical rainfall in terms of its spatial variability, atmospheric forcing, predictability, and applicability. Our results reveal the following: 1) the scaling parameters exhibit strong variability associated with land/ocean contrast and mean precipitation at the synoptic scale; 2) there exists a one-to-one relationship between the scaling parameters and the large-scale spatial average rain rate of a universal functional form; 3) the majority of the scenes are consistent with the hypothesis of scale invariance at the moment orders of 0 and 2; 4) relatively there are more scale-invariant rain scenes over land than over ocean; and 5) for the scenes that are non-scale-invariant, deviation from scale-invariance mainly arises from the increasingly intermittent behavior of rainfall as spatial scale decreases. These results have important implications for the development and calibration of downscaling procedures designed to reproduce rainfall properties at different spatial scales and lead to a better understanding of the nature of tropical rainfall at various spatial resolutions. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:337 / 354
页数:18
相关论文
共 36 条
[1]  
[Anonymous], APPL REGRESSION ANAL
[2]   Multifractal analysis and simulation of rainfall fields in space [J].
Deidda, R .
PHYSICS AND CHEMISTRY OF THE EARTH PART B-HYDROLOGY OCEANS AND ATMOSPHERE, 1999, 24 (1-2) :73-78
[3]   Multifractal modeling of anomalous scaling laws in rainfall [J].
Deidda, R ;
Benzi, R ;
Siccardi, F .
WATER RESOURCES RESEARCH, 1999, 35 (06) :1853-1867
[4]   Rainfall downscaling in a space-time multifractal framework [J].
Deidda, R .
WATER RESOURCES RESEARCH, 2000, 36 (07) :1779-1794
[5]   Comparison of the scaling characteristics of rainfall derived from space-based and ground-based radar observations [J].
Gebremichael, Mekonnen ;
Over, Thomas M. ;
Krajewski, Witold F. .
JOURNAL OF HYDROMETEOROLOGY, 2006, 7 (06) :1277-1294
[6]   Statistical-microphysical causes of rainfall variability in the tropics [J].
Georgakakos, KP ;
Krajewski, WF .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1996, 101 (D21) :26165-26180
[7]   On scaling exponents of spatial peak flows from rainfall and river network geometry [J].
Gupta, VK ;
Castro, SL ;
Over, TM .
JOURNAL OF HYDROLOGY, 1996, 187 (1-2) :81-104
[8]   MULTISCALING PROPERTIES OF SPATIAL RAINFALL AND RIVER FLOW DISTRIBUTIONS [J].
GUPTA, VK ;
WAYMIRE, E .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1990, 95 (D3) :1999-2009
[9]  
GUPTA VK, 1993, J APPL METEOROL, V32, P251, DOI 10.1175/1520-0450(1993)032<0251:ASAOMR>2.0.CO
[10]  
2