Particular uncertainties encountered in using a pre-packaged SEBS model to derive evapotranspiration in a heterogeneous study area in South Africa

Hydrology and Earth System Sciences - Tập 15 Số 1 - Trang 295-310
Lesley Gibson1,2, Zahn Münch3, Jeanine Engelbrecht4
1Agricultural Research Council-Institute for Soil, Climate and Water, Private Bag X5017, Stellenbosch, 7599, South Africa
2Department of Environmental and Geographical Science, University of Cape Town, Shell Environmental & Geographical Science Building, South Lane, Upper Campus, University of Cape Town, Private Bag X3, Rondebosch 7701, South Africa
3Stellenbosch University, Private Bag X1, Matieland 7602, South Africa
4Council for Geoscience, Western Cape Unit, P.O. Box 572, Bellville, 7535, South Africa

Tóm tắt

Abstract. The focus of this paper is on the pre-packaged version of SEBS in ILWIS and the sensitivity of SEBS to some parameters over which the user has some control when using this version of the model, in order to make informed choices to limit uncertainties. The sensitivities of SEBS to input parameters are related to daily ET rather than energy flux results since this is of interest to water managers and other users of the results of the SEBS model. This paper describes some of the uncertainties introduced by the sensitivity of the SEBS model to (a) land surface temperature and air temperature gradient, (b) the choice of fractional vegetation formula, (c) displacement height and the height at which wind speed is measured, and (d) study area heterogeneity. It was shown that SEBS is sensitive to land surface temperature and air temperature gradient and the magnitude of this sensitivity depended on the land cover and whether or not the wet-limit had been reached. The choice of fractional vegetation cover formula was shown to influence the daily ET results by up to 0.7 mm. It was shown that the height of the vegetation canopy should be considered in relation to the weather station reference height to avoid the sensible heat flux from becoming unsolvable due to a negative ln calculation. Finally the study area was shown to be heterogeneous although the resolution at which fluxes were calculated did not significantly impact on energy partitioning results. The differences in the upscaling from evaporative fraction to daily ET at varying resolutions observed implies that the heterogeneity may play the biggest role in the upscaling and the influence of albedo on this calculation should be studied.

Từ khóa


Tài liệu tham khảo

Alvarez, J. A. G.: Effects of land cover changes on the water balance of the Palo Verde Wetland, Costa Rica, M.Sc. thesis, International Institute for Geo-information Science and Earth Observation, The Netherlands, 2007.

ARC-ISCW: Technical manual for the AgroClimatology Weather Station Network. ARC-ISCW internal report, Agricultural Research Council-Institute for Soil, Climate and Water, South Africa, Report No. GW/A/2008/60, 2010.

Badola, A.: Validation of Surface Energy Balance System (SEBS) over forest land cover and sensitivity analysis of the model, MSc thesis, International Institute for Geo-information Science and Earth Observation, The Netherlands, 2009.

Brutsaert, W.: Evaporation into the atmosphere, Reidel, Dordrecht, The Netherlands, 299 pp., 1982.

Carlson, T. N. and Ripley, D. A.: On the relation between NDVI, Fractional Vegetation Cover, and Leaf Area Index, Remote Sens. Environ., 62, 241–252, 1997.

Choudhary, B. J.: Relationship between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysis, Remote Sens. Environ., 22, 209–233, 1987.

Dungan, J. L., Kao, D., and Pang, A.: The uncertainty visualization problem in remote sensing analysis, in: Proceedings of Int. Geosci. Remote Se., Toronto, Canada, 2 June 2002, pp. 729–731, 2002.

Ershadi, A.: Land-atmosphere interactions from canopy to troposphere, M.Sc. thesis, International Institute for Geo-information Science and Earth Observation, The Netherlands, 2010.

Flores, A. N., Ivanov, V. Y., Entekhabi, D., and Bras, R. L.: Impact of hillslope-scale organization of topography, soil moisture, soil temperature, and vegetation on modelling surface microwave radiation emission, IEEE T. Geosci. Remote., 47, 2557–2571, 2009.

French, A. N., Schmugge, T. J., Kustas, W. P., Brubaker, K. L., and Prueger, J.: Surface energy fluxes over El Reno, Oklahoma, using high-resolution remotely sensed data, Water Resour. Res., 39, 1164, https://doi.org/10.1029/2002WR001734, 2003.

Garrigues, S., Allard, D., Baret, F., and Weiss, M.: Quantifying spatial heterogeneity at the landscape scale using variogram models, Remote Sens. Environ., 103, 81–96, 2006.

Gebreyesus, M. G.: Validation of RS approaches to model surface characteristics in hydrology: a case study in Guareña Aquifer, Salamanca, Spain, The Netherlands, MSc thesis, International Institute for Geo-information Science and Earth Observation, The Netherlands, 2009.

Gibson, L. A., Munch, Z., Engelbrecht, J., Petersen, N., and Conrad, J. E.: Remote sensing as a tool for resources assessment towards the determination of the legal compliance of surface and groundwater use, Water Research Commission, Pretoria, South Africa, WRC Report No. 1690/1/09, 2010.

Gutman, G. and Ignatov, A.: The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models, Int. J. Remote Sens., 19, 1533–1543, 1998.

Hailegiorgis, W. S.: Remote sensing analysis of summer time evapotranspiration using SEBS algorithm: a case study in Regge and Dinklel, The Netherlands, M.Sc. thesis, International Institute for Geo-information Science and Earth Observation, The Netherlands, 2006.

Jarmain, C. and Mengistu, M. G.: Validating energy fluxes estimated using the surface energy balance system (SEBS) model for a small catchment, Water Research Commission, Pretoria, South Africa, Consultancy Report No. K8/824, 2009.

Jia, L., Su, Z., van den Hurk, B., Menenti, M., Moene, H. A. R., Baselga Yrisarry, J. J., Ibanez, M., and Cuesta, A.: Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements, Phys. Chem. Earth, 28, 77–88, 2003.

Jia, L., Xi, G., Liu, S., Huang, C., Yan, Y., and Liu, G.: Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland, Hydrol. Earth Syst. Sci., 13, 1775–1787, https://doi.org/10.5194/hess-13-1775-2009, 2009.

Kustas, W. P., Li, F., Jackson, T. J., Prueger, J. H., MacPherson, J. I., and Wolde, M.: Effects of remote sensing pixel resolution on modelled energy flux variability of croplands in Iowa, Remote Sens. Environ., 92, 535–547, 2004.

Lakhankar, T., Ghedira, H., Temimi, M., Azar, A. E., and Khanbilvardi, R.: Effect of land cover heterogeneity on soil moisture retrieval using active microwave remote sensing data, Remote Sensing., 1, 80–91, https://doi.org/10.3390/rs1020080, 2009.

Li, Z., Yu, G., Li, Q., Fu, Y., and Li, Y.: Effect of spatial variation on areal evapotranspiration simulation in Haibei, Tibet plateau, China, Int. J. Remote Sens., 27, 3487–3498, 2006.

Li, F., Kustas, W. P., Anderson, M. C., Prueger, J. H., and Scott, R. L.: Effect of remote sensing spatial resolution on interpreting tower-based flux observations, Remote Sens. Environ., 112, 337–349, 2008.

Liang, S.: Narrowband to broadband conversions of land surface albedo. I Algorithms, Remote Sens. Environ., 76, 213–238, 2000.

Lin, W.: Satellite based regional scale evapotranspiration in the Hebei Plain, Northeastern China, The Netherlands, M.Sc. thesis, International Institute for Geo-information Science and Earth Observation, The Netherlands, 2006.

Lin, W., van de Velde, R., and Su, Z.: Satellite based regional-scale evapotranspiration in the Hebei Plain, Northeastern China, in: Proceedings of Dragon 1: Programme Final Results 2004–2007, Beijing, 21–25 April 2008, 9 p., 2008.

Madeira, C., Dash, P., Olesen, F., and Trigo, I.: Intercomparison of Meteosat-8 derived LST with MODIS and AATSR similar products, in: Proceedings of the 2005 EUMETSAT Meteorological Satellite Conference, Dubrovnik, Croatia, 19 - 23. September 2005, available at: http://www.eumetsat.int/Home/Main/AboutEUMETSAT/Publications/ConferenceandWorkshopProceedings/2005/SP_1232458833219?l=en, 2005.

Mariotto, I. and Gutschick, V. P.: Non-Lambertian Corrected Albedo and Vegetation Index for Estimating Land Evapotranspiration in a Heterogeneous Semi-Arid Landscape, Remote Sens., 2, 926–938, 2010.

McCabe, M. F. and Wood, E. F.: Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors, Remote Sens. Environ., 105, 271–285, 2006.

McCabe, M. F., Wood, E. F., Wójcik, R., Pan, M., Sheffield, J., Gao, H., and Su, H.: Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies, Remote Sens. Environ., 112, 430–444, 2008.

Moran, M. S., Humes, K. S., and Pinter Jr., P. J.: The scaling characteristics of remotely-sensed variables for sparsely-vegetated heterogeneous landscapes, J. Hydrol., 190, 337–362, 1997.

Pan, M., Wood, E. F., Wójcik, R., and McCabe, M. F.: Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation, Remote Sens. Environ., 112, 1282–1294, 2008.

Sobrino, J. A. and El Kharraz, J.: Surface temperature and water vapour retrieval from MODIS data, Int. J. Remote Sens., 24, 5161–5182, 2003.

Su, Z.: The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes, Hydrol. Earth Syst. Sci., 6, 85–100, https://doi.org/10.5194/hess-6-85-2002, 2002.

Su, Z.: An introduction to the surface energy balance system (SEBS), Lecture notes, ESA TIGER Capacity Building Facility 1st Training Course on "Advanced optical remote sensing", Cape Town, 22–25 November 2006.

Su, Z. and Roerink, G. J. (Eds.): Drought Risk Reduction, Wageningen, Alterra, Alterra-rapport 1135, 2004.

Su, H., McCabe, M. F., and Wood, E. F.: Modeling Evapotranspiration during SMACEX: Comparing Two Approaches for Local- and Regional-Scale Prediction, J. Hydrometeorol. – Special Section, 6, 910–922, 2005.

Su, Z., Wang, L., and Parodi, G. N.: SEBS for ILWIS Open Source: A Practical Tool for Surface Energy Balance Estimates from Remote Sensing Data, Surface Energy Balance Models of Agricultural Areas from Earth Observation Data, Lima, Perú, 13 March 2008.

Timmermans, W. J., van der Kwast, J., Gieske, A. S. M., Su, Z., Olioso, A., Jia, L., and Elbers, J.: Intercomparison of energy flux models using ASTER imagery at the SPARC 2004 site, Barrax, Spain, in: Proceedings of the ESA WPP-250: SPARC final workshop, Enschede, 4–5 July 2005, 8 p., 2005.

Van den Berg, E. C., Plarre, C., Van den Berg, H. M., and Thompson, M. W.: The South African National Land Cover 2000. Agricultural Research Council-Institute for Soil, Climate and Water, Pretoria, Report GW/A/2008/86, 2008.

van der Kwast, J., Timmermans, W., Gieske, A., Su, Z., Olioso, A., Jia, L., Elbers, J., Karssenberg, D., and de Jong, S.: Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain), Hydrol. Earth Syst. Sci., 13, 1337–1347, https://doi.org/10.5194/hess-13-1337-2009, 2009.

Veregin, H.: Error modelling for the map overlay operation, in: Accuracy of Spatial Databases, edited by: Goodchild, M. F. and Gopal, S., Taylor and Francis, London, 3–18, 1989.

Voogt, M. P.: Meteolook, a physically based regional distribution model for measured meteorological variables. M.Sc. Thesis TU Delft, abstract available at: http://www.citg.tudelft.nl/live/pagina.jsp?id=50e40a94-07c2-4ccc-a3e9-849c85ecbfd0&lang=en&binary=/doc/Voogt2006.pdf, 2006.

Wang, G., Gerther, G. Z., Fang, S., and Anderson, A. B.: A methodology for spatial uncertainty analysis of remote sensing and GIS products, Photogramm. Eng. Rem. S., 17, 1423–1432, 2005.

Thông tin
Thông tin xuất bản

Hydrology and Earth System Sciences

Tập 15 Số 1

295-310

Thông tin tác giả