Multiscaling analysis of high resolution space-time lidar-rainfall

被引:24
作者
Mandapaka, P. V. [1 ]
Lewandowski, P. [1 ]
Eichinger, W. E. [1 ]
Krajewski, W. F. [1 ]
机构
[1] Univ Iowa, IIHR Hydrosci & Engn, Iowa City, IA 52242 USA
关键词
FIELDS; MULTIFRACTALS; PRECIPITATION; CLOUDS; LIMIT; MODEL;
D O I
10.5194/npg-16-579-2009
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this study, we report results from scaling analysis of 2.5 m spatial and 1 s temporal resolution lidar-rainfall data. The high resolution spatial and temporal data from the same observing system allows us to investigate the variability of rainfall at very small scales ranging from few meters to similar to 1 km in space and few seconds to similar to 30 min in time. The results suggest multiscaling behaviour in the lidar-rainfall with the scaling regime extending down to the resolution of the data. The results also indicate the existence of a space-time transformation of the form t similar to L-z at very small scales, where t is the time lag, L is the spatial averaging scale and z is the dynamic scaling exponent.
引用
收藏
页码:579 / 586
页数:8
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