Journal
JOURNAL OF HYDROLOGY
Volume 370, Issue 1-4, Pages 155-162Publisher
ELSEVIER
DOI: 10.1016/j.jhydrol.2009.03.003
Keywords
Evapotranspiration; MODIS; Leaf area index; Xinanjiang model; Runoff prediction; Ungauged catchments
Funding
- Chinese Government
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Vegetation processes are seldom considered in lumped conceptual rainfall-runoff (RR) models although they have significant impacts on runoff via the control of evapotranspiration. This paper incorporates the remotely-sensed the moderate resolution imaging spectrometer mounted on the polar-orbiting terra satellite-leaf area index (MODIS-LAI) data into Xinanjiang rainfall-runoff model and assesses the model performance on 210 catchments in south-east Australia. The results show that the inclusion of LAI data improves both the model calibration results as well as the daily runoff prediction in ungauged catchments. It is likely that more significant improvements to the model structure to integrate the remotely-sensed vegetation and other data can further reduce the uncertainty in runoff prediction in ungauged catchments. Crown Copyright (c) 2009 Published by Elsevier B.V. All rights reserved.
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