Conceptual Rainfall–Runoff Model Performance with Different Spatial Rainfall Inputs | Zendy

Jai Vaze | Zendy; David Post | Zendy; Francis H. S. Chiew | Zendy; JeanMichel Perraud | Zendy; Jin Teng | Zendy; Neil R. Viney | Zendy

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Conceptual Rainfall–Runoff Model Performance with Different Spatial Rainfall Inputs

Author(s) -

Jai Vaze,

David Post,

Francis H. S. Chiew,

JeanMichel Perraud,

Jin Teng,

Neil R. Viney

Publication year - 2011

Publication title -

journal of hydrometeorology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.733

H-Index - 123

eISSN - 1525-755X

pISSN - 1525-7541

DOI - 10.1175/2011jhm1340.1

Subject(s) - surface runoff , environmental science , runoff model , drainage basin , hydrology (agriculture) , series (stratigraphy) , calibration , hydrological modelling , runoff curve number , climatology , statistics , mathematics , geology , geography , ecology , paleontology , cartography , geotechnical engineering , biology

Different methods have been used to obtain the daily rainfall time series required to drive conceptual rainfall–runoff models, depending on data availability, time constraints, and modeling objectives. This paper investigates the implications of different rainfall inputs on the calibration and simulation of 4 rainfall–runoff models using data from 240 catchments across southeast Australia. The first modeling experiment compares results from using a single lumped daily rainfall series for each catchment obtained from three methods: single rainfall station, Thiessen average, and average of interpolated rainfall surface. The results indicate considerable improvements in the modeled daily runoff and mean annual runoff in the model calibration and model simulation over an independent test period with better spatial representation of rainfall. The second experiment compares modeling using a single lumped daily rainfall series and modeling in all grid cells within a catchment using different rainfall inp...

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