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Advances in Meteorology
Volume 2014 (2014), Article ID 143246, 9 pages
http://dx.doi.org/10.1155/2014/143246
Research Article

Spatial and Temporal Variability of Precipitation in Haihe River Basin, China: Characterization and Management Implications

1Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China
2Department of Land, Air, and Water Resources, University of California, Davis, CA 95816, USA
3State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Received 21 May 2014; Accepted 20 June 2014; Published 14 July 2014

Academic Editor: Eduardo García-Ortega

Copyright © 2014 Yuzhou Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Data analysis and characterization of precipitation in the Haihe River Basin (HRB) of China are required for management practices for the purpose of flood water control and utilization. In the companion paper, we presented precipitation data in the HRB during 1951–2010 and reported its basic statistics such as temporal trend and spatial variability. In this study, spatiotemporal variability on the precipitation was further investigated comprehensively for the underlying physics and the implication to water resource management. During the summer flood season of the study area, basin-wide precipitation was negatively correlated to average NINO3.4 index. Spatially, summer precipitation was correlated with gridded sea surface temperature (SST) observed in the eastern tropic Pacific Ocean and the western tropic Indian Ocean. SST in two representative areas was identified as potential predictors for precipitation in the HRB. No spatial or temporal correlations were confirmed between precipitation and soil moisture as annual averages in the study area. Copula analysis suggested about 40% possibility in a year with a potential for cross-watershed water diversion within HRB.