Modeling Evapotranspiration during SMACEX: Comparing Two Approaches for Local- and Regional-Scale Prediction

Journal of Hydrometeorology - Tập 6 Số 6 - Trang 910-922 - 2005
Hongbo Su1, Matthew F. McCabe1, Eric F. Wood1, Zhongbo Su2,3, John H. Prueger4
1Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey
2Department of Water Resources
3International Institute for Geo-Information Science and Earth Observation (ITC), Enschede, Netherlands
4National Soil Tilth Research Laboratory, Ames, Iowa

Tóm tắt

Abstract The Surface Energy Balance System (SEBS) model was developed to estimate land surface fluxes using remotely sensed data and available meteorology. In this study, a dual assessment of SEBS is performed using two independent, high-quality datasets that are collected during the Soil Moisture–Atmosphere Coupling Experiment (SMACEX). The purpose of this comparison is twofold. First, using high-quality local-scale data, model-predicted surface fluxes can be evaluated against in situ observations to determine the accuracy limit at the field scale using SEBS. To accomplish this, SEBS is forced with meteorological data derived from towers distributed throughout the Walnut Creek catchment. Flux measurements from 10 eddy covariance systems positioned on these towers are used to evaluate SEBS over both corn and soybean surfaces. These data allow for an assessment of modeled fluxes during a period of rapid vegetation growth and varied hydrometeorology. Results indicate that SEBS can predict evapotranspiration with accuracies approaching 10%–15% of that of the in situ measurements, effectively capturing the temporal development of surface flux patterns for both corn and soybean, even when the evaporative fraction ranges between 0.50 and 0.90. Second, utilizing high-resolution remote sensing data and operational meteorology, a catchment-scale examination of model performance is undertaken. To extend the field-based assessment of SEBS, information derived from the Landsat Enhanced Thematic Mapper (ETM) and data from the North American Land Data Assimilation System (NLDAS) were combined to determine regional surface energy fluxes for a clear day during the field experiment. Results from this analysis indicate that prediction accuracy was strongly related to crop type, with corn predictions showing improved estimates compared to those of soybean. Although root-mean-square errors were affected by the limited number of samples and one poorly performing soybean site, differences between the mean values of observations and SEBS Landsat-based predictions at the tower sites were approximately 5%. Overall, results from this analysis indicate much potential toward routine prediction of surface heat fluxes using remote sensing data and operational meteorology.

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Tài liệu tham khảo

Baret, 1995, The robustness of canopy gap fraction estimates from red and near-infrared reflectances—A comparison of approaches., Remote Sens. Environ., 54, 141, 10.1016/0034-4257(95)00136-O

Brotzge, 2003, Examination of the surface energy budget: A comparison of eddy correlation and Bowen ratio measurement systems., J. Hydrometeor., 4, 160, 10.1175/1525-7541(2003)4<160:EOTSEB>2.0.CO;2

Brutsaert, 1999, Aspects of bulk atmospheric boundary layer similarity under free-convective conditions., Rev. Geophys., 37, 439, 10.1029/1999RG900013

Bugbee, 1999, Evaluation and modification of commercial infrared-red transducers for leaf temperature measurement., Adv. Space Res., 22, 1425, 10.1016/S0273-1177(98)00213-0

Chen, 1995, Quantifying the effect of canopy architecture on optical measurements of leaf area index using two gap size methods., IEEE Trans. Geosci. Remote Sens., 33, 777, 10.1109/36.387593

Chen, 2004, Definition of component effective emissivity for heterogeneous and non-isothermal surfaces and its approximate calculation., Int. J. Remote Sens., 25, 231, 10.1080/0143116031000116426

Conte, 1986, Software Engineering Metrics and Models.

Cosgrove, 2003, Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project., J. Geophys. Res., 108

Diak, 1996, A note on first estimates of surface insolation from GOES-8 visible satellite data., Agric. For. Meteor., 82, 219, 10.1016/0168-1923(96)02331-3

Famiglietti, 1994, Application of multiscale water and energy balance models on a tallgrass prairie., Water Resour. Res., 30, 3079, 10.1029/94WR01499

Fritschen, 1992, Comparisons of surface flux measurement systems used in FIFE 1989., J. Geophys. Res., 97, 18697, 10.1029/91JD03042

Jackson, T., and M.Cosh, 2003: SMEX02 tower-based radiometric surface temperature, Walnut Creek, Iowa. National Snow and Ice Data Center, Boulder, Colorado, Digital Media. [Available online at http://nsidc.org/data/nsidc-0186.html.].

Jacobs, 2002, GOES surface insolation to estimate wetlands evapotranspiration., J. Hydrol., 266, 53, 10.1016/S0022-1694(02)00117-8

Jia, 2003, Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements., Phys. Chem. Earth, 28, 75, 10.1016/S1474-7065(03)00009-3

Kanemasu, 1992, Surface flux measurements in FIFE: An overview., J. Geophys. Res., 97, 18547, 10.1029/92JD00254

Kustas, 1990, Estimation of the soil heat-flux net-radiation ratio from spectral data., Agric. For. Meteor., 49, 205, 10.1016/0168-1923(90)90033-3

Kustas, 2000, Evaluating the effects of subpixel heterogeneity on pixel average fluxes., Remote Sens. Environ., 74, 327, 10.1016/S0034-4257(99)00081-4

Kustas, 2005, The Soil Moisture–Atmosphere Coupling Experiment (SMACEX): Background, hydrometeorlogical conditions, and preliminary findings., J. Hydrometeor., 6, 825, 10.1175/JHM460.1

Laubach, 1999, Surface energy budget variability: A case study over grass with special regard to minor inhomogeneities in the source area., Theor. Appl. Climatol., 62, 9, 10.1007/s007040050070

Lee, 1994, Relating eddy-correlation sensible heat flux to horizontal sensor separation in the unstable atmospheric surface layer., J. Geophys. Res., 99, 18545, 10.1029/94JD00942

Li, 2004, Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX., Remote Sens. Environ., 42, 380, 10.1109/TGRS.2003.817195

Lloyd, 1997, A comparison of surface fluxes at the HAPEX-Sahel fallow bush sites., J. Hydrol., 189, 400, 10.1016/S0022-1694(96)03184-8

Luo, 2003, Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains., J. Geophys. Res., 108, 10.1029/2002JD003246

Massman, 2002, Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges., Agric. For. Meteor., 113, 121, 10.1016/S0168-1923(02)00105-3

Miller, D., J.Washburne, and E.Wood, 1995: EOS workshop on land surface evaporation and transpiration. The Earth Observer, No. 7, 52–56. [Available online at http://eospso.gsfc.nasa.gov/eos_observ/7_8_95/p52.html.].

Monteith, 1973, Principles of Environmental Physics.

Nie, 1992, An intercomparison of surface-energy flux measurement systems used during FIFE 1987., J. Geophys. Res., 97, 18715, 10.1029/91JD03044

Nilson, 1971, A theoretical analysis of the frequency of gaps in plant stands., Agric. For. Meteor., 8, 25, 10.1016/0002-1571(71)90092-6

Prueger, 2005, Tower and aircraft eddy covariance measurements of water vapor, energy, and carbon dioxide fluxes during SMACEX., J. Hydrometeor., 6, 954, 10.1175/JHM457.1

Schaaf, 2002, First operational BRDF, albedo nadir reflectance products from MODIS., Remote Sens. Environ., 83, 135, 10.1016/S0034-4257(02)00091-3

Sobrino, 2001, A comparative study of land surface emissivity retrieval from NOAA data., Remote Sens. Environ., 75, 256, 10.1016/S0034-4257(00)00171-1

Su, 2002, The surface energy balance system (SEBS) for estimation of the turbulent heat fluxes., Hydrol. Earth Sci., 6, 85, 10.5194/hess-6-85-2002

Su, 2001, An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and the atmosphere., J. Appl. Meteor., 40, 1933, 10.1175/1520-0450(2001)040<1933:AEOTMF>2.0.CO;2

Twine, 2000, Correcting eddy-covariance flux underestimates over a grassland., Agric. For. Meteor., 103, 279, 10.1016/S0168-1923(00)00123-4

USDA ARS Hydrology and Remote Sensing Lab , 2002: Soil Moisture Experiments in 2002 (SMEX02): Experiment plan. 192 pp. [Available online at http://hydrolab.arsusda.gov/smex02/smex60302.pdf.].

Wood, 2003, Estimating evapotranspiration from satellite remote sensing.

Xavier, 2004, Mapping leaf area index through spectral vegetation indices in a subtropical watershed., Int. J. Remote Sens., 25, 1661, 10.1080/01431160310001620803

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Thông tin xuất bản

Journal of Hydrometeorology

Tập 6 Số 6

910-922

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