Multivariate properties of extreme precipitation events in the Pearl River basin, China: Magnitude, frequency, timing, and related causes

2017 ◽  
Vol 31 (21) ◽  
pp. 3662-3671 ◽  
Author(s):  
Limin Duan ◽  
Jiangyu Zheng ◽  
Wei Li ◽  
Tingxi Liu ◽  
Yanyun Luo
Keyword(s):  
River Basin ◽  
Extreme Precipitation ◽  
Pearl River ◽  
Pearl River Basin ◽  
Extreme Precipitation Events ◽  
The Pearl River ◽  
The Pearl River Basin ◽  
Precipitation Events

Spatial–temporal changes of precipitation structure across the Pearl River basin, China

2012 ◽  
Vol 440-441 ◽  
pp. 113-122 ◽  
Author(s):  
Qiang Zhang ◽  
Vijay P. Singh ◽  
Juntai Peng ◽  
Yongqin David Chen ◽  
Jianfeng Li
Keyword(s):  
River Basin ◽  
Temporal Changes ◽  
Pearl River ◽  
Pearl River Basin ◽  
Precipitation Structure ◽  
The Pearl River ◽  
The Pearl River Basin

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

2014 ◽  
Vol 18 (4) ◽  
pp. 1475-1492 ◽  
Author(s):  
J. Niu ◽  
J. Chen ◽  
B. Sivakumar
Keyword(s):  
Time Series ◽  
Soil Moisture ◽  
River Basin ◽  
Southern China ◽  
Hydrological Processes ◽  
Pearl River ◽  
Pearl River Basin ◽  
Rank Correlation Method ◽  
The Pearl River ◽  
The Pearl River Basin

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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