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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 4
Hydrol. Earth Syst. Sci., 18, 1475–1492, 2014
https://doi.org/10.5194/hess-18-1475-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 18, 1475–1492, 2014
https://doi.org/10.5194/hess-18-1475-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Apr 2014

Research article | 23 Apr 2014

Teleconnection analysis of runoff and soil moisture over the Pearl River basin in southern China

J. Niu1, J. Chen1, and B. Sivakumar2,3 J. Niu et al.
  • 1Department of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China
  • 2School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
  • 3Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA

Abstract. This study explores the teleconnection of two climatic patterns, namely the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), with hydrological processes over the Pearl River basin in southern China, particularly on a sub-basin-scale basis. The Variable Infiltration Capacity (VIC) model is used to simulate the daily hydrological processes over the basin for the study period 1952–2000, and then, using the simulation results, the time series of the monthly runoff and soil moisture anomalies for its ten sub-basins are aggregated. Wavelet analysis is performed to explore the variability properties of these time series at 49 timescales ranging from 2 months to 9 yr. Use of the wavelet coherence and rank correlation method reveals that the dominant variabilities of the time series of runoff and soil moisture are basically correlated with IOD. The influences of ENSO on the terrestrial hydrological processes are mainly found in the eastern sub-basins. The teleconnections between climatic patterns and hydrological variability also serve as a reference for inferences on the occurrence of extreme hydrological events (e.g., floods and droughts).

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