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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>13</volume_number>
		<issue_number>7</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-1337-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/1337/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/1337/2009/hess-13-1337-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/1337/2009/hess-13-1337-2009.pdf</fulltext_pdf>
	<start_page>1337</start_page>
	<end_page>1347</end_page>
	<publication_date>2009-07-29</publication_date>
	<article_title content_type="html">Evaluation of the Surface Energy Balance System (SEBS) applied to  ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain)</article_title>
	<authors>
		<author numeration="1" affiliations="1,5">
			<name>J. van der Kwast</name>
			<email>hans.vanderkwast@vito.be</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>W. Timmermans</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>A. Gieske</name>
		</author>
		<author numeration="4" affiliations="2">
			<name>Z. Su</name>
		</author>
		<author numeration="5" affiliations="3">
			<name>A. Olioso</name>
		</author>
		<author numeration="6" affiliations="4">
			<name>L. Jia</name>
		</author>
		<author numeration="7" affiliations="4">
			<name>J. Elbers</name>
		</author>
		<author numeration="8" affiliations="1">
			<name>D. Karssenberg</name>
		</author>
		<author numeration="9" affiliations="1">
			<name>S. de Jong</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands</affiliation>
		<affiliation numeration="2" content_type="html">International Inst. for Geo-Information Science and Earth Observation (ITC), Enschede, The Netherlands</affiliation>
		<affiliation numeration="3" content_type="html">Institut national de la recherche agronomique (INRA), Avignon, France</affiliation>
		<affiliation numeration="4" content_type="html">Alterra, Wageningen University and Research Centre, Wageningen, The Netherlands</affiliation>
		<affiliation numeration="5" content_type="html">now at: Flemish Institute for Technological Research (VITO), Mol, Belgium</affiliation>
	</affiliations>
	<abstract content_type="html">Accurate quantification of the amount and spatial variation of evapotranspiration
is important in a wide range of disciplines. Remote sensing based surface energy
balance models have been developed to estimate turbulent surface energy
fluxes at different scales. The objective of this study is to evaluate the
Surface Energy Balance System (SEBS) model on a landscape scale, using
tower-based flux measurements at different land cover units during an
overpass of the ASTER sensor over the SPARC 2004 experimental site in
Barrax (Spain). A sensitivity analysis has been performed in order to
investigate to which variable the sensible heat flux is most sensitive.
Taking into account their estimation errors, the aerodynamic parameters
(&lt;i&gt;h&lt;/i&gt;&lt;sub&gt;&lt;i&gt;c&lt;/i&gt;&lt;/sub&gt;, &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;&lt;i&gt;0M&lt;/i&gt;&lt;/sub&gt; and &lt;i&gt;d&lt;/i&gt;&lt;sub&gt;&lt;i&gt;0&lt;/i&gt;&lt;/sub&gt;) can cause large deviations in the modelling
of sensible heat flux. The effect of replacement of empirical derivation
of these aerodynamic parameters in the model by field estimates or literature
values is investigated by testing two scenarios: the Empirical Scenario in
which empirical equations are used to derive aerodynamic parameters and the
Field Scenario in which values from field measurements or literature are
used to replace the empirical calculations of the Empirical Scenario.  In
the case of a homogeneous land cover in the footprints of the measurements,
the Field Scenario only resulted in a small improvement, compared to the
Empirical Scenario. The Field Scenario can even worsen the result in the
case of heterogeneous footprints, by creating sharp borders related to the
land cover map. In both scenarios modelled fluxes correspond better with
flux measurements over uniform land cover compared to cases where different
land covers are mixed in the measurement footprint. Furthermore SEBS
underestimates sensible heat flux especially over dry and sparsely vegetated
areas, which is common in single-source models.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Anderson, M C., Kustas, W P., and Norman, J M.: Upscaling and downscaling – A regional view of the Soil-Plant-Atmsophere continuum, Agron. J., 95, 1408–1423, 2003. </reference>
		<reference numeration="2" content_type="text"> Avissar, R. and Pielke, R A.: A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology, Mon. Weather Rev., 117, 2113–2136, 1989. </reference>
		<reference numeration="3" content_type="text"> Bastiaanssen, W. G M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J F., Roering, G J., and van~der Wal, T.: A remote sensing surface energy balance algorithm for land (SEBAL): 2. Validation, J. Hydrol., 212–213, 213–229, \doi10.1016/S0022-1694(98)00254-6, 1998. </reference>
		<reference numeration="4" content_type="text"> Berk, A., Bernstein, L S., and Robertson, D C.: MODTRAN: A Moderate Resolution Model for LOWTRAN 7, Air Force Geophysics Laboratory Technical Report GL-TR-89-0122, Hanscom AFB, MA, 1989. </reference>
		<reference numeration="5" content_type="text"> Brutsaert, W.: Evaporation into the atmosphere, Reidel, Dordrecht, The Netherlands, 299 pp., 1982. </reference>
		<reference numeration="6" content_type="text"> 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. </reference>
		<reference numeration="7" content_type="text"> French, A N., Schmugge, T., Kustas, W P., Brubaker, K., and Prueger, J.: Surface energy fluxes over El Reno, Oklahoma, using high-resolution remotely sensed data, Water Resour. Res., 39, 1164–1176, 2003. </reference>
		<reference numeration="8" content_type="text"> French, A N., Jacob, F., Anderson, M., Kustas, W P., Timmermans, W., Gieske, A., Su, Z., Su, H., McCabe, M., Li, F., Prueger, J., and Brunsell, N.: Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA), Rem. Sens. Environ., 99, 55–65, \doi10.1016/j.rse.2005.05.015, 2005. </reference>
		<reference numeration="9" content_type="text"> Friedl, M A.: Forward and inverse modeling of land surface energy balance using surface temperature measurements, Remote Sens. Environ., 79, 344–354, \doi10.1016/S0034-4257(01)00284-X, 2002. </reference>
		<reference numeration="10" content_type="text"> Gillespie, A., Rokugawa, S., Hook, S., Matsunaga, T., and Kahle, A.: Temperature/Emissivity Separation Algorithm Theoretical Basis Document, Version~2.4, http://eospso.gsfc.nasa.gov/eos_homepage/for_scientists/atbd/docs/ASTER/atbd-ast-03.pdf, 1999. </reference>
		<reference numeration="11" content_type="text"> Hasager, C. and Jensen, N.: Surface flux aggregation in heterogeneous terrain, Q. J. Roy. Meteor. Soc., 125, 2075–2102, 1999. </reference>
		<reference numeration="12" content_type="text"> Horst, T W. and Weil, J C.: Footprint estimation for scalar flux measurements in the atmospheric surface layer, Bound-Lay. Meteorol., 59, 279–296, \doi10.1007/BF00119817, 1992. </reference>
		<reference numeration="13" content_type="text"> Hsieh, C.-I., Katul, G., and Chi, T.: An approximate analytical model for footprint estimation of scalar fluxes in thermally stratified atmospheric flows, Adv. Water Resour., 23, 765–772, \doi10.1016/S0309-1708(99)00042-1, 2000. </reference>
		<reference numeration="14" content_type="text"> Huntingford, C., Verhoef, A., and Stewart, J.: Dual versus single source models for estimating surface temperature of African savannah, Hydrol. Earth Syst. Sci., 4, 185–191, 2000. </reference>
		<reference numeration="15" content_type="text"> Jasinski, M. and Crago, R.: Estimation of vegetation aerodynamic roughness of natural regions using frontal area density determined from satellite imagery, Agr. For. Meteorol., 94, 65–77, \doi10.1016/S0168-1923(98)00129-4, 1999. </reference>
		<reference numeration="16" content_type="text"> Karssenberg, D., de~Jong, K., and van~der Kwast, J.: Modelling landscape dynamics with Python, Int. J. Geogr. Inf. Sci., 21, 483–495, \doi10.1080/13658810601063936, 2007. </reference>
		<reference numeration="17" content_type="text"> Kustas, W P., Humes, K S., Norman, J M., and Moran, M.: Single- and dual-source modeling of surface energy fluxes with radiometric surface temperature, J. Appl. Meteorol., 35, 110–121, \doi10.1175/1520-0450(1996)035, 1996. </reference>
		<reference numeration="18" content_type="text"> Kustas, W P., Norman, J M., Anderson, M., and French, A N.: Estimating subpixel surface temperatures and energy fluxes from the vegetation index – radiometric temperature relationship, Remote Sens. Environ., 85, 429–440, \doi10.1016/S0034-4257(03)00036-1, 2003. </reference>
		<reference numeration="19" content_type="text"> Liang, S.: Narrowband to broadband conversions of land surface albedo I: Algorithms, Remote Sens. Environ., 76, 213–238, \doi10.1016/S0034-4257(00)00205-4, 2001. </reference>
		<reference numeration="20" content_type="text"> Meijninger, W.: Surface fluxes over natural landscapes using scintillometry, PhD thesis, Wageningen University, http://library.wur.nl/wda/dissertations/dis3442.pdf, 176 pp., 2003. </reference>
		<reference numeration="21" content_type="text"> Moran, M S.: Thermal infrared measurements as an indicator of plant ecosystem health, in: Thermal remote sensing in land surface processes, edited by: Quattrochi, D A., and Luvall, J., Taylor and Francis, CRC Press, Boca Raton, USA, 257–282, 2004. </reference>
		<reference numeration="22" content_type="text"> Norman, J M., Kustas, W P., and Humes, K S.: A two-Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature, Agr. For. Meteorol., 77, 263–293, \doi10.1016/0168-1923(95)02265-Y, 1995. </reference>
		<reference numeration="23" content_type="text"> Schmid, H.: Footprint modeling for vegetation atmosphere exchange studies: a review and perspective, Agr. For. Meteorol., 113, 159–183, \doi10.1016/S0168-1923(02)00107-7, 2002. </reference>
		<reference numeration="24" content_type="text"> Schuepp, P., Leclerc, M., Macpherson, J., and Desjardins, R.: Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation, Bound-Lay. Meteorol., 50, 355–373, \doi10.1007/BF00120530, 1990. </reference>
		<reference numeration="25" content_type="text"> Stull, R.: An introduction to Boundary Layer Meteorology, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1988.  </reference>
		<reference numeration="26" content_type="text"> Sobrino, J A., Jimenez-Munoz, J C., Balick, L., Gillespie, A R., Sabol, D A., and Gustafson, W T.: Accuracy of ASTER level-2 thermal-infrared standard products of an agricultural area in Spain, Rem. Sens. Environ., 106, 146–153. </reference>
		<reference numeration="27" content_type="text"> Su, Z.: A Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes from point to continental scale, Publications of the National Remote Sensing Board (BCRS), USP-2, 2001. </reference>
		<reference numeration="28" content_type="text"> Su, Z.: The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes, Hydrol. Earth Syst. Sci., 6, 85–100, 2002. </reference>
		<reference numeration="29" content_type="text"> Su, Z., Schmugge, T., Kustas, W., and Massman, W.: An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and the atmosphere, J. Appl. Meteorol., 40, 1933–1951, \doi10.1175/1520-0450(2001)040&lt;1933:AEOTMF&gt;2.0.CO;2, 2001. </reference>
		<reference numeration="30" content_type="text"> Su, Z., Timmermans, W., Gieske, A., Jia, L., Elbers, J A., Olioso, A., Timmermans, J., Van Der~Velde, R., Jin, X., Van Der~Kwast, H., Nerry, F., Sabol, D., Sobrino, J A., Moreno, J., and Bianchi, R.: Quantification of land-atmosphere exchanges of water, energy and carbon dioxide in space and time over the heterogeneous Barrax site, Int. J. Remote Sens., 29, 5215–5235, \doi10.1080/01431160802326099, 2008. </reference>
		<reference numeration="31" content_type="text"> Tasumi, M., Allen, R., Bastiaanssen, W. G M., Morse, A., Tasumi, M., Allen, R., and Kramber, W.: The theoretical basis of SEBAL, Raytheon Systems Company, Earth Observation System Data and Information System Project, Idaho Department of Water Resources and University of Idaho, 2000. </reference>
		<reference numeration="32" content_type="text"> Timmermans, W., Kustas, W P., Anderson, M., and French, A N.: An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes, Rem. Sens. Environ., 108, 369–384, \doi10.1016/j.rse.2006.11.028, 2005a. </reference>
		<reference numeration="33" content_type="text"> Timmermans, W J., Su, Z., and Olioso, A.: Footprint issues in scintillometry over heterogeneous landscapes, Hydrol. Earth Syst. Sci. Discuss., 6, 2099-2127, 2009. </reference>
		<reference numeration="34" content_type="text"> Timmermans, W J., van~der Kwast, J., Gieske, A S., 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: ESA Proceedings WPP-250, SPARC Final Workshop, ITC Enschede, The Netherlands, 4–5 July 2005b. </reference>
		<reference numeration="35" content_type="text"> Wang, T., Ochs, G., and Clifford, S.: A saturation-resistant optical scintillometer to measure C$_n^2$, J. Opt. Soc. Am, 69, 334–338, 1978. </reference>
	</references>
</article>

