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The validation of the variables (evaporation and soil moisture) in hydrometeorological models
Expanded Title:Evapotranspiration (ET) and Soil moisture (SM) have only been available at isolated sites until recently, when the work carried out during two WRC research projects (Pegram et al., 2010; Sinclair and Pegram 2013) developed a detailed spatial product of real time estimates of SM and ET. The model has shown great promise, but still required further development as errors in the input data streams are hampering the quality of the product. This project was commissioned to provide a spatially explicit validation procedure for the 1 km grid of ET and SM which are produced through the HYLARSMET and PyTOPKAPI models as well as other hydrological models. The specific objectives of the project included (1) disseminating knowledge on the process of soil modelling using the distributed PyTOPKAPI model, (2) establishing the best method for verification of modelled results (3) identifying suitable scales and replication of field measurements required and (4) select the most suitable catchment where data networks and suitable land uses are in place. The project provided field measured ET and SM data during the two validation experiments using the eddy covariance method and profile soil water content measurements. The SEBS model was used for ET and SM estimates for inter-comparison with the HYLARSMET model. In addition to spatial estimates of ET, the project was intended to use spatially distributed field based measurements of SM to verify SM sensors which were planned to be rolled out at SAWS weather stations. The spatial knowledge of land surface ET and SM is crucial for water resources management, crop modelling, optimizing irrigation water use, and flood forecasting.
Date Published:01/03/2014
Document Type:Research Report
Document Keywords:Hydrology
Document Format:Report
Document File Type:pdf
Research Report Type:Standard
WRC Report No:2066/1/13
ISBN No:978-1-4312-0514-1
Authors:Mengistu MG; Everson CS; Moyo NC; Savage MJ
Project No:K5/2066
Organizations:School of Agricultural, Earth and Environmental Sciences University of KwaZulu-Natal, Pietermaritzburg
Document Size:6 672 KB
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