Surface Energy Balance-Based Model for Estimating Evapotranspiration Taking into Account Spatial Variability in Weather
Publication: Journal of Irrigation and Drainage Engineering
Volume 134, Issue 6
Abstract
Reliable estimates of evapotranspiration (ET) from vegetation are needed for many types of water-resource investigations. How well models can estimate ET from vegetation varies, depending on the capabilities of the model as well as the nature of the targeted vegetation. Model accuracy also depends heavily on the quality and quantity of the data used. Several ET models have been developed that use an energy balance approach in which the data used by the models are derived from satellite imagery. This research introduces an enhanced surface energy balance-based model, the remote sensing of evapotranspiration or ReSET model, for estimating ET. ReSET is an ET estimation model that takes into consideration the spatial variability in weather parameters, which makes it particularly applicable for calculating regional scale ET. ReSET also has the capability of interpolating between the available weather stations in time and space. The model’s accuracy at daily and seasonal time scales is evaluated in several case studies.
Get full access to this article
View all available purchase options and get full access to this article.
References
Allen, R. G., Tasumi, M., Morse, A., and Trezza, R. (2005). “A Landsat-based energy balance and evapotranspiration model in western U.S. water rights regulation and planning.” Irrig. Drain. Syst., 19(3–4), 251–268.
Bastiaanssen, W. G. M. (2000). “SEBAL based sensible and latent heat fluxes in the irrigated Gedez Basin, Turkey.” J. Hydrol., 229(1–2), 87–100.
Bastiaanssen, W. G. M., Ahmad, M. U. D., and Chemin, Y. (2002). “Satellite surveillance of evaporative depletion across the Indus Basin.” Water Resour. Res., 38(12), 91–99.
Bastiaanssen, W. G. M., et al. (1998a). “Remote sensing surface energy balance algorithm for land (SEBAL): 2. Validation.” J. Hydrol., 212–213(1–4), 213–229.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M. (1998b). “Remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation.” J. Hydrol., 213–213(1–4), 198–212.
Harrison, L. P. (1963). “Fundamental concepts and definitions relating to humidity.” Humidity and moisture, A. Wexler, ed., Vol. 3, Reinhold Publishing Company, New York.
Integrated Decision Support Group. (2004). IDS consumptive use model ver. 3.1.1 user’s manual, Dept. of Civil and Environmental Engineering, Integrated Decision Support Group, Colorado State Univ., Fort Collins, Colo.
Kustas, W. P., and Norman, J. M. (1996). “Use of remote sensing for evapotranspiration monitoring over land surfaces.” Hydrol. Sci. J., 41(4), 495–516.
Kustas, W. P., and Norman, J. M. (1999). “Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover.” Agric. Forest Meteorol., 1, 13–29.
Nagler, P. L., Scott, R. L., Westenburg, C., Cleverly, J. R., Glenn, E. P., and Huete, A. R. (2005). “Evapotranspiration on western U.S. rivers estimated using the enhanced vegetation index from MODIS and data from eddy covariance and Bowen ratio flux towers.” Remote Sens. Environ., 3, 337–351.
Nishida, K., Nemani, R. R., Glassy, J. M., and Running, S. W. (2003). “Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status.” IEEE Trans. Geosci. Remote Sens., 41(2), 493–501.
Roerink, G. J., Su, Z., and Menenti, M. (2000). “S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance.” Phys. Chem. Earth, Part B, 25(2), 147–157.
Samani, Z., Skaggs, R., and Bleweiss, M. (2005). “Regional ET estimation from satellites.” Proc., 31st Int. Symp. on Remote Sensing from Satellite.
Su, Z. (2002). “The surface energy balance system (SEBS) for estimation of turbulent heat fluxes.” Hydrology Earth Syst. Sci., 6(1), 85–99.
Tasumi, M., Allen, R. G., Trezza, R., and Wright, J. L. (2005). “Satellite-based energy balance to assess with in-population variance of crop coefficient curves.” J. Irrig. Drain. Eng., 131(1), 94–109.
Timmermans, W. J., Gieske, A. S. M., Kustas, W. P., Wolski, P., Arneth, A., and Parodi, G. N. (2004). “Determination of water and heat fluxes with MODIS imagery: Maun, Botswana.” Proc., SPIE Conf. 10th Int. Remote Sensing Meeting: Remote Sensing for Agriculture, Ecosystems, and Hydrology, V. M. Owe, G. D’Urso, J. F. Moreno, and A. Calera, eds., SPIE, 444–455.
Information & Authors
Information
Published In
Copyright
© 2008 ASCE.
History
Received: Jun 18, 2007
Accepted: Jul 1, 2008
Published online: Dec 1, 2008
Published in print: Dec 2008
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.