An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes

Abstract An intercomparison of output from two models estimating spatially distributed surface energy fluxes from remotely sensed imagery is conducted. A major difference between the two models is whether the soil and vegetation components of the scene are treated separately (Two-Source Energy Balance; TSEB approach) or as a lumped composite (one-source approach; Surface Energy Balance Algorithm for Land; SEBAL) in the parameterization of radiative and turbulent exchanges with the overlying air. Comparisons are performed using data from two largescale field experiments covering sub-humid grassland (Southern Great Plains '97) and semi-arid rangeland (Monsoon '90) having very different landscape properties. In general, there was reasonable agreement between flux output from both models versus a handful of flux tower observations. However, spatial intercomparisons of model output over the full modeling domains yielded relatively large discrepancies (on the order of 100 W m− 2) in sensible heat flux (H) that are related to land cover. In particular, bare soil and sparsely vegetated areas yielded the largest discrepancies, with TSEB fluxes being in better agreement with tower observations. Modifications to SEBAL inputs that reduced discrepancies with TSEB and observations for bare soil and shrub classes tended to increase differences for other land cover classes. In particular, improvements to SEBAL inputs of surface roughness for momentum tended to exacerbate errors with respect to observed fluxes. These results suggest that some of the simplifying assumptions in SEBAL may not be strictly applicable over the wide range in conditions present within these landscapes. An analysis of TSEB and SEBAL sensitivity to uncertainties in primary inputs indicated that errors in surface temperature or surface-air temperature differences had the greatest impact on H estimates. Inputs of secondary importance were fractional vegetation cover for TSEB, while for SEBAL, the selection of pixels representing wet and dry moisture end-member conditions significantly influenced flux predictions. The models were also run using input fields derived from both local and remote data sources, to test performance under conditions of varying ancillary data availability. In this case, both models performed similarly under both constraints.

[1]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[2]  W. Brutsaert.  Evaporation into the atmosphere , 1982 .

[3]  M. Moran,et al.  Thermal infrared measurement as an indicator of plant ecosystem health , 2003 .

[4]  J. Norman,et al.  Correcting eddy-covariance flux underestimates over a grassland , 2000 .

[5]  Dale A. Quattrochi,et al.  Thermal Remote Sensing in Land Surface Processing , 2004 .

[6]  John L. Monteith,et al.  Vegetation and the atmosphere , 1975 .

[7]  Jerald A. Brotzge,et al.  Estimating Sensible Heat Flux from the Oklahoma Mesonet , 2000 .

[8]  Ambro Gieske,et al.  The iterative flux-profile method for remote sensing applications , 2003 .

[9]  William P. Kustas,et al.  Utility of Radiometric–aerodynamic Temperature Relations for Heat Flux Estimation , 2007 .

[10]  G. Katul,et al.  An approximate analytical model for footprint estimation of scalar fluxes in thermally stratified atmospheric flows , 2000 .

[11]  S. Running,et al.  Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data , 1989 .

[12]  Martha C. Anderson,et al.  Estimating land surface energy budgets from space: Review and current efforts at the University of Wisconsin-Madison and USDA-ARS , 2004 .

[13]  Thomas J. Jackson,et al.  Utility of Remote Sensing–Based Two-Source Energy Balance Model under Low- and High-Vegetation Cover Conditions , 2005 .

[14]  J. Norman,et al.  Remote sensing of surface energy fluxes at 101‐m pixel resolutions , 2003 .

[15]  W. Bastiaanssen.  SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey , 2000 .

[16]  Martha C. Anderson,et al.  Upscaling and Downscaling—A Regional View of the Soil–Plant–Atmosphere Continuum , 2003 .

[17]  Jerry C. Ritchie,et al.  Estimation of effective aerodynamic roughness of Walnut Gulch watershed with laser altimeter measurements , 1994 .

[18]  B. Hicks,et al.  Momentum, heat and water vapour transfer to and from natural and artificial surfaces , 1973 .

[19]  J. M. Norman,et al.  Application of a Plant-Environment Model to Problems in Irrigation , 1983 .

[20]  William P. Kustas,et al.  Estimating surface fluxes over the SGP site with remotely sensed data , 2000 .

[21]  William P. Kustas,et al.  Use of remote sensing for evapotranspiration monitoring over land surfaces , 1996 .

[22]  Daniel Hillel,et al.  Advances in irrigation , 1982 .

[23]  Thomas J. Jackson,et al.  Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment , 1999, IEEE Trans. Geosci. Remote. Sens..

[24]  A. Verhoef,et al.  Dual versus single source models for estimating surface temperature of African savannah , 2000 .

[25]  C. Willmott.  Some Comments on the Evaluation of Model Performance , 1982 .

[26]  O. Hartogensis,et al.  ESTIMATING SURFACE FLUXES IN IRRIGATED AREAS WITH SCINTILLOMETERS , 2006 .

[27]  W. Bastiaanssen.  Regionalization of surface flux densities and moisture indicators in composite terrain. A remote sensing approach under clear skies in Mediterranean climates. , 1995 .

[28]  Monique Y. Leclerc,et al.  Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation , 1990 .

[29]  J. Ritchie,et al.  Estimation of Effective Aerodynamic Roughness with Altimeter Measurements , 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.

[30]  E. Noordman,et al.  SEBAL model with remotely sensed data to improve water-resources management under actual field conditions , 2005 .

[31]  William P. Kustas,et al.  An intercomparison study on models of sensible heat flux over partial canopy surfaces with remotely sensed surface temperature , 1996 .

[32]  G. Campbell,et al.  An Introduction to Environmental Biophysics , 1977 .

[33]  J. Wallace,et al.  Evaporation from sparse crops‐an energy combination theory , 2007 .

[34]  Martha C. Anderson,et al.  A simple and fast atmospheric correction for spaceborne remote sensing of surface temperature , 2003 .

[35]  M. S. Moran,et al.  Surface energy balance estimates at local and regional scales using optical remote sensing from an aircraft platform and atmospheric data collected over semiarid rangelands , 1994 .

[36]  S. Goward,et al.  Estimation of air temperature from remotely sensed surface observations , 1997 .

[37]  F. M. D. S. Olalla,et al.  Production and quality of the onion crop (Allium cepa L.) cultivated under controlled deficit irrigation conditions in a semi-arid climate , 2004 .

[38]  M. S. Moran,et al.  Single- and Dual-Source Modeling of Surface Energy Fluxes with Radiometric Surface Temperature , 1996 .

[39]  Charlotte Bay Hasager,et al.  Surface‐flux aggregation in heterogeneous terrain , 1999 .

[40]  Z. Su.  The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[41]  J. Norman,et al.  Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover , 1999 .

[42]  R. Grossman,et al.  Estimating Watershed Evapotranspiration with PASS. Part II: Moisture Budgets during Drydown Periods , 2000 .

[43]  William P. Kustas,et al.  Mapping surface energy fluxes with radiometric temperature. , 2003 .

[44]  William P. Kustas,et al.  Monitoring land surface fluxes using ASTER observations , 1998, IEEE Trans. Geosci. Remote. Sens..

[45]  William P. Kustas,et al.  An Evaluation of Two Models for Estimation of the Roughness Height for Heat Transfer between the Land Surface and the Atmosphere , 2001 .

[46]  Scott J. Goetz,et al.  Inference of surface and air temperature, atmospheric precipitable water and vapor pressure deficit using Advanced Very High-Resolution Radiometer satellite observations: comparison with field observations , 1998 .

[47]  William P. Kustas,et al.  Are Single‐Source, Remote‐Sensing Surface‐Flux Models Too Simple? , 2006 .

[48]  Bhaskar J. Choudhury,et al.  Relationships between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysis , 1987 .

[49]  William P. Kustas,et al.  Effects of Vegetation Clumping on Two–Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX , 2005 .

[50]  Martha C. Anderson,et al.  A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing , 1997 .

[51]  Matthew F. McCabe,et al.  Corrigendum to ¿Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA)¿ [Remote Sensing of Environment 2005 99/1¿2;55¿65] , 2005 .

[52]  W. Kustas,et al.  Comparison of energy balance modeling schemes using microwave‐derived soil moisture and radiometric surface temperature , 2003 .

[53]  Martha C. Anderson,et al.  A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales , 2004 .

[54]  Bruno Monteny,et al.  Sensible heat flux and radiometric surface temperature over sparse Sahelian vegetation. I. An experimental analysis of the kB−1 parameter , 1997 .

[55]  William P. Kustas,et al.  Estimates of Evapotranspiration with a One- and Two-Layer Model of Heat Transfer over Partial Canopy Cover , 1990 .

[56]  Martha C. Anderson,et al.  ESTIMATING LAND SURFACE ENERGY BUDGETS FROM SPACE , 2004 .

[57]  Dai Matsushima,et al.  Relations between Aerodynamic Parameters of Heat Transfer and Thermal-Infrared Thermometry in the Bulk Surface Formulation , 2005 .

[58]  William P. Kustas,et al.  Using a remote sensing field experiment to investigate flux-footprint relations and flux sampling distributions for tower and aircraft-based observations , 2006 .

[59]  Wim G.M. Bastiaanssen,et al.  Satellite surveillance of evaporative depletion across the Indus Basin , 2002 .

[60]  W. Bastiaanssen,et al.  A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .

[61]  N. U. Ahmed,et al.  Relations between evaporation coefficients and vegetation indices studied by model simulations , 1994 .

[62]  Wade T. Crow,et al.  Utility of Assimilating Surface Radiometric Temperature Observations for Evaporative Fraction and Heat Transfer Coefficient Retrieval , 2005 .

[63]  M. Moran,et al.  Thermal infrared measurement as an indicator of plant ecosystem health , 2003 .

[64]  Bruno Monteny,et al.  Estimating sensible heat flux from radiometric temperature over sparse millet , 1994 .

[65]  T. Schmugge,et al.  Surface energy fluxes over El Reno, Oklahoma, using high‐resolution remotely sensed data , 2003 .

[66]  M. S. Moran,et al.  Sensible heat flux - Radiometric surface temperature relationship for eight semiarid areas , 1994 .

[67]  William P. Kustas,et al.  Spatially Distributed Sensible Heat Flux over a Semiarid Watershed. Part I: Use of Radiometric Surface Temperatures and a Spatially Uniform Resistance , 1997 .

[68]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[69]  John M. Norman,et al.  Estimating Fluxes on Continental Scales Using Remotely Sensed Data in an Atmospheric–Land Exchange Model , 1999 .

[70]  Anne Verhoef,et al.  A parameterization of momentum roughness length and displacement height for a wide range of canopy densities , 1997 .

[71]  O. Merlin,et al.  Different approaches in estimating heat flux using dual angle observations of radiative surface temperature , 2004 .

[72]  Albert Olioso,et al.  Mapping surface fluxes using airborne visible, near infrared, thermal infrared remote sensing data and a spatialized surface energy balance model , 2002 .

[73]  Massimo Menenti,et al.  Aggregation effects of surface heterogeneity in land surface processes , 1999 .

[74]  Matthew F. McCabe,et al.  Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA) , 2005 .

[75]  Martha C. Anderson,et al.  Upscaling flux observations from local to continental scales using thermal remote sensing , 2007 .

[76]  Roger A. Pielke,et al.  A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology , 1989 .

[77]  J. Norman,et al.  Surface flux estimation using radiometric temperature: A dual‐temperature‐difference method to minimize measurement errors , 2000 .