Authors

Z. D. Sun; N. B. Chang; Q. Huang;C. Opp

Comments

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Abbreviated Journal Title

Hydrol. Sci. J.-J. Sci. Hydrol.

Keywords

precipitation patterns; TRMM/PR data; empirical orthogonal function; (EOF); hydrological extremes; REMOTE-SENSING APPLICATIONS; CLIMATE-CHANGE; VARIABILITY; RAINFALL; IMPACTS; CATCHMENT; DISASTERS; MONSOON; CYCLE; Water Resources

Abstract

A decadal-scale study to retrieve the spatio-temporal precipitation patterns of the Yangtze River basin, China, using the Tropical Rain Mapping Mission, Precipitation Radar (TRMM/PR) data is presented. The empirical orthogonal function (EOF) based on monthly TRMM/PR data extracts several leading precipitation patterns, which are largely connected with physical implications at the basin scale. With the aid of gauge station data, the amplitudes of major principal components (PCs) were used to examine the generic relationships between precipitation variations and hydrological extremes (e. g. floods and droughts) during summer seasons over the past decade. The emergence of such major precipitation patterns clearly reveals the possible linkages with hydrological processes, and the oscillations in relation to the amplitude of major PCs are consistent with these observed hydrological extremes. Although the floods in some sections of the Yangtze River were, to some extent, tied to human activities, such as the removal of wetlands, the variations in major precipitation patterns are recognized as the primary driving force of the flow extremes associated with floods and droughts. The research findings indicate that long-distance hydro-meteorological signals of large-scale precipitation variations over such a large river basin can be successfully identified with the aid of EOF analysis. The retrieved precipitation patterns and their low-frequency jumps of amplitude in relation to PCs are valuable tools to help understand the association between the precipitation variations and the occurrence of hydrological extremes. Such a study can certainly aid in disaster mitigation and decision-making in water resource management.

Journal Title

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques

Volume

57

Issue/Number

7

Publication Date

1-1-2012

Document Type

Article

Language

English

First Page

1315

Last Page

1324

WOS Identifier

WOS:000309706500004

ISSN

0262-6667

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