Environmental factors affecting the accuracy of surface fluxes from a two-source model in Mediterranean drylands: Upscaling instantaneous to daytime estimates

Agricultural and Forest Meteorology

Volumn 189-190, Issue , 2014, Pages 140-158

  Morillas, Laura ^a,b   Villagarcía, Luis ^c   Domingo, Francisco ^a   Nieto, Héctor ^d   Uclés, Olga ^a   García, Mónica ^d,e  

^a DEPARTAMENTO DE ECOLOGÍA FUNCIONAL Y EVOLUTIVA   (Spain)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c UNIVERSIDAD PABLO DE OLAVIDE   (Spain)

^d TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^e Lamont Campus   (United States)

Author keywords

Latent heat flux; Mediterreanean drylands; Sensible heat flux; Surface temperature; Two source model

Indexed keywords

ACCURACY ASSESSMENT; DRYLAND FARMING; EDDY COVARIANCE; ENVIRONMENTAL FACTOR; EVAPOTRANSPIRATION; FLUX MEASUREMENT; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); SENSIBLE HEAT FLUX; SURFACE TEMPERATURE; TEMPERATURE EFFECT; VEGETATION STRUCTURE;

MEDITERRANEAN REGION;

EID: 84896386259     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2014.01.018     Document Type: Article

References (50)

1. Alfieri J.G., Kustas W.P., Prueger J.H., Hipps L.E., Evett S.R., Basara J.B., Neale C.M.U., French A.N., Colaizzi P., Agam N., Cosh M.H., Chavez J.L., Howell T.A. On the discrepancy between eddy covariance and lysimetry-based surface flux measurements under strongly advective conditions. Adv. Water Res. 2012, 50:62-78.
2. Allen R.G., Pereira L.S., Raes D., Smith M. Crop Evapotranspiration: Guidelines for Computing Crop Requirements. Irrigation and Drainage Paper No. 56 FAO. Roma, Italy 1998.
3. Bastiaanssen W.G.M., Menenti M., Feddes R.A., Holtslag A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. J. Hydrol. 1998, 212-213(1-4):198-212.
4. Burba G.G. Illustration of flux footprint estimates affected by measurement height surface roughness and thermal stability. Automated Weather Stations for Applications in Agriculture and Water Resources Management: Current Use and Future Perspectives. World Meteorological Organization Publication No. 1074 2001, 77-87. HPCS Lincoln, Nebraska-Wmo GENEVA, Switzerland. K.G. Hubbord, M.V.K. Sivakumar (Eds.).
5. Campbell G.S., Norman J.M. An Introduction to Environmental Biophysics 1998, Springer-Verlag, New York.
6. Colaizzi P.D., Evett S.R., Howell T.A., Gowda P.H., O'Shaughnessy S.A., Tolk J.A., Kustas W.P., Anderson M.C. Two-source energy balance model: refinements and lysimeter tests in the southern high plains. Trans. ASABE 2012, 55(2):551-562.
7. Colaizzi P.D., Kustas W.P., Anderson M.C., Agam N., Tolk J.A., Evett S.R., Howell T.A., Gowda P.H., O'Shaughnessy S.A. Two-source energy balance model estimates of evapotranspiration using component and composite surface temperatures. Adv. Water Res. 2012, 50:134-151.
8. Colaizzi P.D., Evett S.R., Howell T.A., Tolk J.A. Comparison of five models to scale daily evapotranspiration from one-time-of-day measurements. Trans. ASABE 2006, 49(5):1409-1417.
9. Crago R.D. Conservation and variability of the evaporative fraction during the daytime. J. Hydrol. 1996, 180(1-4):173-194.
10. Crawford T.M., Duchon C.E. An improved parameterization for estimating effective atmospheric emissivity for use in calculating daytime downwelling longwave radiation. J. Appl. Meteorol. 1999, 38(4):474-480.
11. Domingo F., Serrano-Ortiz P., Were A., Villagarcía L., García M., Ramírez D.A., Kowalski A.S., Moro M.J., Rey A., Oyonarte C. Carbon and water exchange in semiarid ecosystems in SE Spain. J. Arid Environ. 2011, 75(12):1271-1281.
12. Farah H.O., Bastiaanssen W.G.M., Feddes R.A. Evaluation of the temporal variability of the evaporative fraction in a tropical watershed. Int. J. Appl. Earth Observ. Geoinform. 2004, 5(2):129-140.
13. Fisher J.B., Tu K.P., Baldocchi D.D. Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sens. Environ. 2008, 112(3):901-919.
14. French A.N., Hunsaker D.J., Clarke T.R., Fitzgerald G.J., Luckett W.E., Pinter P.J. Energy balance estimation of evapotranspiration for wheat grown under variable management practices in central Arizona. Trans. ASABE 2007, 50(6):2059-2071.
15. French A.N., Jacob F., Anderson M.C., Kustas W.P., Timmermans W., Gieske A., Su Z., Su H., McCabe M.F., Li F., Prueger J., Brunsell N. Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA). Remote Sens. Environ. 2005, 99(1-2):55-65.
16. García M., Sandholt I., Ceccato P., Ridler M., Mougin E., Kergoat L., Morillas L., Timouk F., Fensholt R., Domingo F. Actual evapotranspiration in drylands derived from in-situ and satellite data: assessing biophysical constraints. Remote Sens. Environ. 2013, 131(0):103-118.
17. García M., Oyonarte C., Villagarcía L., Contreras S., Domingo F., Puigdefábregas P. Monitoring land degradation risk using ASTER data: the non-evaporative fraction as an indicator of ecosystem function. Remote Sens. Environ. 2008, 112(9):3720-3736.
18. García M., Villagarcía L., Contreras S., Domingo F., Puigdefábregas J. Comparison of three operative models for estimating the surface water deficit using ASTER reflective and thermal data. Sensors. 2007, 7(6):860-883.
19. Garratt J., Hicks B. Momentum, heat and water vapour transfer to and from natural and artificial surfaces. Quart. J. R. Meteorol. Soc. 1973, 99:680-687.
20. Gentine P., Entekhabi D., Polcher J. The diurnal behavior of evaporative fraction in the soil-vegetation-atmospheric boundary layer continuum. J. Hydrometeorol. 2011, 12(6):1530-1546.
21. Glenn E.P., Huete A.R., Nagler P.L., Hirschboeck K.K., Brown P. Integrating remote sensing and ground methods to estimate evapotranspiration. Crit. Rev. Plant Sci. 2007, 26(3):139-168.
22. Gonzalez-Dugo M.P., Neale C.M.U., Mateos L., Kustas W.P., Prueger J.H., Anderson M.C., Li F. A comparison of operational remote sensing-based models for estimating crop evapotranspiration. Agric. For. Meteorol. 2009, 149(11):1843-1853.
23. Goudriaan J. Crop Micrometeorology: A Simulation Study 1977, Center for Agricultural Publishing and Documentation, Wageningen.
24. Guzinski R., Anderson M.C., Kustas W.P., Nieto H., Sandholt I. Using a thermal-based two source energy balance model with time-differencing to estimate surface energy fluxes with day-night MODIS observations. Hydrol. Earth Syst. Sci. 2013, 17:2809-2825.
25. Haase P., Pugnaire F.I., Clark S.C., Incoll L.D. Environmental control of canopy dynamics and photosynthetic rate in the evergreen tussock grass Stipa tenacissima. Plant Ecol. 1999, 145(2):327-339.
26. Kalma J.D., McVicar T.R., McCabe M.F. Estimating land surface evaporation: a review of methods using remotely sensed surface temperature data. Surv. Geophys. 2008, 29(4-5):421-469.
27. Kondo J., Ishida S. Sensible heat flux from the Earth's surface under natural convective conditions. J. Atmos. Sci. 1997, 54(4):498-509.
28. Kustas W., Anderson M. Advances in thermal infrared remote sensing for land surface modeling. Agric. For. Meteorol. 2009, 149(12):2071-2081.
29. Kustas W.P., Alfieri J.G., Anderson M.C., Colaizzi P.D., Prueger J.H., Evett S.R., Neale C.M.U., French A.N., Hipps L.E., Chávez J.L., Copeland K.S., Howell T.A. Evaluating the two-source energy balance model using local thermal and surface flux observations in a strongly advective irrigated agricultural area. Adv. Water Res. 2012, 50:120-133.
30. Kustas W.P., Norman J.M. A two-source approach for estimating turbulent fluxes using multiple angle thermal infrared observations. Water Resour. Res. 1997, 33(6):1495-1508.
31. Kustas W.P., Norman J.M. Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover. Agric. For. Meteorol. 1999, 94(1):13-29.
32. Kustas W.P., Norman J.M. Reply to comments about the basic equations of dual-source vegetation-atmosphere transfer models. Agric. For. Meteorol. 1999, 94(3-4):275-278.
33. Kustas W.P., Prueger J.H., Hipps L.E. Impact of using different time-averaged inputs for estimating sensible heat flux of riparian vegetation using radiometric surface temperature. J. Appl. Meteorol. 2002, 41(3):319-332.
34. Legates D.R., McCabe G.J. Evaluating the use of goodnessof-fit measures in hydrologic and hydroclimatic model validation. Water Resour. Res. 1999, 35(1):233-241.
35. Lhomme J.P., Elguero E. Examination of evaporative fraction diurnal behaviour using a soil-vegetation model coupled with a mixed-layer model. Hydrol. Earth Syst. Sci. 1999, 3(2):259-270.
36. Li F., Kustas W.P., Prueger J.H., Neale C.M.U., Jackson T.J. Utility of remote-sensing-based two-source energy balance model under low- and high-vegetation cover conditions. J. Hydrometeorol. 2005, 6(6):878-891.
37. Monteith J.L., Unsworth M.H. Principles of Environmental Physics 1990, Edward Arnold, London.
38. Morillas L., García M., Nieto H., Villagarcía L., Sandholt I., Gonzalez-Dugo M.P., Zarco-Tejada P.J., Domingo F. Using radiometric surface temperature for energy flux estimation in Mediterranean drylands from a two-source perspective. Remote Sens. Environ. 2013, 136(2013):234-246.
39. Morillas L., Villagarcía L., García M., Serrano-Ortiz P., Domingo F. Improving evapotranspiration estimates in Mediterranean drylands: the role of soil evaporation. Water Resour. Res. 2013, 49:1-15.
40. Norman J.M., Kustas W.P., Humes K.S. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agric. For. Meteorol. 1995, 77(3-4):263-293.
41. Norman J.M., Kustas W.P., Prueger J.H., Diak G.R. Surface flux estimation using radiometric temperature: a dual-temperature-difference method to minimize measurement errors. Water Resour. Res. 2000, 36(8):2263-2274.
42. Priestley C.H.B., Taylor R.J. On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Rev. 1972, 100:81-92.
43. Rey A., Belelli-Marchesini L., Were A., Serrano-Ortiz P., Etiope G., Papale D., Domingo F., Pegoraro E. Wind as a main driver of the net ecosystem carbon balance of a semiarid Mediterranean steppe in the South East of Spain. Global Change Biol. 2012, 18(2):539-554.
44. Sánchez J.M., Kustas W.P., Caselles V., Anderson M.C. Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations. Remote Sens. Environ. 2008, 112(3):1130-1143.
45. Schaudt K.J., Dickinson R.E. An approach to deriving roughness length and zero-plane displacement height from satellite data, prototyped with BOREAS data. Agric. For. Meteorol. 2000, 104(2):143-155.
46. Su Z. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Syst. Sci. 2002, 6(1):85-99.
47. Timmermans W.J., Kustas W.P., Anderson M.C., French A.N. An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes. Remote Sens. Environ. 2007, 108(4):369-384.
48. Twine T.E., Kustas W.P., Norman J.M., Cook D.R., Houser P.R., Meyers T.P., Prueger J.H., Starks P.J., Wesely M.L. Correcting eddy-covariance flux underestimates over a grassland. Agric. For. Meteorol. 2000, 103(3):279-300.
49. Wang K., Dickinson R.E. A review of global terrestrial evapotranspiration: observation, modeling, climatology, and climatic variability. Rev. Geophys. 2012, 50(2):RG2005.
50. Willmot C.J. On the validation of models. Phys. Geog. 1981, 2:184-194.