当前位置： 首页»科研成果» 2015 缪驰远、段青云在 Journal of Hydrometeorology 上发表论文 全球院

Evaluation of the PERSIANN-CDR daily rainfall estimates in capturing the behavior of extreme precipitation events over China

 

Chiyuan Miao,^1,2,* Hamed Ashouri,² Kuo-Lin Hsu,² Soroosh Sorooshian,² and Qingyun Duan¹

¹ State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, P. R. China

² Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USA

Abstract:

This study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network–Climate Data Record (PERSIANN-CDR), in capturing the behavior of daily extreme precipitation events in China during the period of 1983-2006. Different extreme precipitation indices, in the three categories of percentile, absolute threshold, and maximum indices, are studied and compared with the same indices from the East Asia (EA) ground-based gridded daily precipitation data set. The results show that PERSIANN-CDR depicts similar precipitation behavior as the ground-based EA product in terms of capturing the spatial and temporal patterns of daily precipitation extremes, particularly in the eastern China monsoon region, where the intensity and frequency of heavy rainfall events are very high. However, the agreement between the data sets in dry regions such as the Tibetan Plateau in the west and the Taklamakan Desert in the northwest is not strong. An important factor that may have influenced the results is that the ground-based stations from which EA gridded data were produced are very sparse. In the station-rich regions in the eastern China, the performance of PERSIANN-CDR is significant. PERSIANN-CDR slightly underestimates the values of extreme heavy precipitation.

 

PUBLISHED BY: Journal of Hydrometeorology, 2015, doi:10.1175/JHM-D-14-0174.1

 

SOURCE: http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-14-0174.1