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Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia

Guerschman, J, Vandijk, A, Mattersdorf, G, Beringer, J., Hutley, Lindsay, Leuning, R, Pipunic, R and Sherman, B (2009). Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia. Journal of Hydrology,369(1-Feb):107-119.

Document type: Journal Article

IRMA ID 73195523xPUB23
Title Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia
Author Guerschman, J
Vandijk, A
Mattersdorf, G
Beringer, J.
Hutley, Lindsay
Leuning, R
Pipunic, R
Sherman, B
Journal Name Journal of Hydrology
Publication Date 2009
Volume Number 369
Issue Number 1-Feb
ISSN 0022-1694   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-63649128940
Start Page 107
End Page 119
Total Pages 13
Place of Publication Amsterdam , Netherlands
Publisher Elsevier BV
HERDC Category C1 - Journal Article (DEST)
Abstract We developed a new algorithm for estimating monthly actual evapotranspiration (AET) based on surface reflectance from MODIS-Terra and interpolated climate data. The algorithm uses monthly values of the Enhanced Vegetation Index (EVI) and the Global Vegetation Moisture Index (GVMI) derived from the MODIS nadir bidirectional reflectance distribution function – adjusted reflectance product (MOD43B4) to scale Priestley-Taylor potential evapotranspiration derived from the climate surfaces. The EVI is associated with evapotranspiration through its relationship with leaf area index. The GVMI allows separation between surface water and bare soil when EVI is low and provides information on vegetation water content when EVI is high. The model was calibrated using observed AET data from seven sites in Australia, including two forests, two open savannas, a grassland, a floodplain and a lake. Model outputs were compared with four year average difference between precipitation and streamflow (a surrogate for mean AET) in 227 unimpaired catchments across Australia. We tested four different model configurations and found that the best results both in the calibration and evaluation datasets were obtained when a precipitation interception term (Ei) and the GVMI were incorporated into the model. The Ei term and the GVMI improved AET estimates in the forest, savanna and grassland sites and in the lake and floodplain sites respectively. The most comprehensive model estimated monthly AET at the seven calibration sites with a RMSE of 18.0 mm mo−1 (22% of the mean AET, r2 = 0.84). In the evaluation dataset, mean annual AET was estimated with a RMSE of 137.44 mm y−1 (19% of the mean AET, r2 = 0.61). The model was able to reproduce the main spatial and temporal patterns in AET across Australia. The main advantages of the proposed model are that it uses a single set of parameters (i.e. does not need an auxiliary land cover map) and that it is able to estimate AET in areas with significant direct evaporation, including lakes and floodplains.
DOI http://dx.doi.org/10.1016/j.jhydrol.2009.02.013   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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