ReSET-Raster: Surface Energy Balance Model for Calculating Evapotranspiration Using a Raster Approach
Publication: Journal of Irrigation and Drainage Engineering
Volume 137, Issue 4
Abstract
Surface energy balance models developed for mapping evapotranspiration at high resolution use weather station data. Previous models such as SEBAL or METRIC use wind and reference evapotranspiration from a single weather station. A third model (ReSET) uses wind run from multiple weather stations but uses a single weather station for the internal calibration. Because these models solve the energy balance equation for areas that usually have significant spatial variability, it is more appropriate to have all inputs and calculations in a raster format. This paper presents a full rasterized model, which uses all inputs and performs all calculations in a raster format (ReSET-Raster). The ReSET-Raster model provides the flexibility to use several weather stations as data sources to generate interpolated weather parameters in a raster format. It explicitly takes into account the spatial variation of weather parameters between weather stations, which can be significant. This paper presents examples showing that evapotranspiration calculated with the raster approach can vary as much as 17% compared with evapotranspiration calculated with point values.
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References
Allen, R. G., et al. (2007a). “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Applications.” J. Irrig. Drain Eng., 133(4), 395–406.
Allen, R. G., Tasumi, M., and Trezza, R. (2005). METRIC applications manual—Version 2.0, Univ. of Idaho, Kimberly, ID.
Allen, R. G., Tasumi, M., and Trezza, R. (2007b). “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Model.” J. Irrig. Drain Eng., 133(4), 380–394.
Bastiaanssen, W. G. M. (2000). “SEBAL based sensible and latent heat fluxes in the irrigated Gedez Basin, Turkey.” J. Hydrol. (Amsterdam), 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. (Amsterdam), 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. (Amsterdam), 212-213(1-4), 198–212.
Elhaddad, A., and Garcia, L. A. (2008). “Surface energy balance-based model for estimating evapotranspiration taking into account spatial variability in weather.” J. Irrig. Drain Eng., 134(6), 681–689.
Harrison, L. P. (1963). “Fundamental concepts and definitions relating to humidity.” Chapter 3, Humidity and moisture, A. Wexler, ed., Vol. 3, Reinhold, New York, 256.
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.” Agricul. Forest Meteorol., 94(1), 13–29.
Leuning, R., Zhang, Y. Q., Rajaud, A., Cleugh, H., and Tu, K. (2008). “A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation.” Water Resour. Res., 44, W10419.
Mu, Q., Heinsch, F. A., Zhao, M., and Running, S. W. (2007). “Development of a global evapotranspiration algorithm based on MODIS and global meteorology data.” Rem. Sens. Environ., 111(4), 519–536.
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.” Rem. Sens. Environ., 97(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. Rem. 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 B, 25(2), 147–157.
Samani, Z., Skaggs, R., and Bleweiss, M. (2005). “Regional ET estimation from satellites.” 31st Int. Symp. on Remote Sensing of Environment, St. Petersberg, Russia.
Su, Z. (2002). “The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes.” Hydrol. Earth Syst. Sci., 6(1), 85–99.
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, Bellingham, WA, 444–455.
Tasumi, M. (2003). “Progress in operational estimation of regional evapotranspiration using satellite imagery.” Ph.D. thesis, Pub. no. AAI3080262, Univ. of Idaho, Kimberly, ID.
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.
Zhang, K., Kimball, J. S., Mu, Q., Jones, L. A., Goetz, S. J., and Running, S. W. (2009). “Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005.” J. Hydrol. (Amsterdam), 379, 92–110.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 137 • Issue 4 • April 2011
Pages: 203 - 210
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Nov 2, 2009
Accepted: Aug 3, 2010
Published online: Mar 15, 2011
Published in print: Apr 1, 2011
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