Journal article

The effect of year-to-year variability of leaf area index on Variable Infiltration Capacity model performance and simulation of runoff

ZK Tesemma, Y Wei, MC Peel, AW Western



This study assessed the effect of using observed monthly leaf area index (LAI) on hydrological model performance and the simulation of runoff using the Variable Infiltration Capacity (VIC) hydrological model in the Goulburn-Broken catchment of Australia, which has heterogeneous vegetation, soil and climate zones. VIC was calibrated with both observed monthly LAI and long-term mean monthly LAI, which were derived from the Global Land Surface Satellite (GLASS) leaf area index dataset covering the period from 1982 to 2012. The model performance under wet and dry climates for the two different LAI inputs was assessed using three criteria, the classical Nash-Sutcliffe efficiency, the logarithm tr..

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Awarded by Australian Research Council (ARC)

Awarded by Natural Science Foundation of China

Awarded by Commonwealth of Australia under the Australia China Science and Research Fund

Funding Acknowledgements

This work was funded by the Australian Research Council (ARC) (Project Nos.: ARC LP100100546, ARC FT130100274 and ARC FT120100130), the Natural Science Foundation of China (Project No: 91125007) and the Commonwealth of Australia under the Australia China Science and Research Fund (Project No: ACSRF800). We would like to thank the University of Melbourne for providing a scholarship to the first author. We thank the two anonymous reviewers for comments that improved this manuscript.