Ground heat flux: An analytical review of 6 models evaluated at 88 sites and globally

Journal of Geophysical Research: Biogeosciences

Volumn 121, Issue 12, 2016, Pages 3045-3059

  Purdy, A J ^a   Fisher, J B ^b   Goulden, M L ^a   Famiglietti, J S ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

energy balance; evaporation; evapotranspiration; ground heat flux; modeling (1952, 4316); remote sensing; soil heat flux; water energy interactions

Indexed keywords

ACCURACY ASSESSMENT; ANALYTICAL METHOD; DATA SET; DECADAL VARIATION; ENERGY BALANCE; EVAPORATION; EVAPOTRANSPIRATION; HEAT FLUX; LITERATURE REVIEW; NET RADIATION; REMOTE SENSING; SURFACE ENERGY;

EID: 85006974765     PISSN: 21698953     EISSN: 21698961     Source Type: Journal    
DOI: 10.1002/2016JG003591     Document Type: Article

References (37)

1. Allen, R. G., M. Tasumi, and R. Trezza (2007), Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Model, J. Irrig. Drain. Eng., 133(4), 380–394.
2. Allen, R. G., et al. (2015), EEFlux: A Landsat-based evapotranspiration mapping tool on the Google Earth Engine. 2015 ASABE/IA Irrigation Symposium, Emerging Technologies for Sustainable Irrigation – A tribute to the career of Terry Howell, Sr. Conference Proceedings.
3. Anderson, M. C., J. M. Norman, J. R. Mecikalski, J. P. Otkin, and W. P. Kustas (2007), A climatological study of evapotranspiration and moisture stress across the continental U.S. based on the thermal remote sensing: I. Model formulation, J. Geophys. Res., 112, D10117, doi:10.1029/2006JD007506.
4. Baldocchi, D., et al. (2001), FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, Bull. Am. Meteorol. Soc., 82, 2415–2434, doi:10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2.
5. Bennett, W. B., J. Wang, and R. L. Bras (2008), Estimation of global ground heat flux, J. Hydrometeorol., 9, 744–759.
6. Cammelleri, C., G. la Loggia, A. Loggia, and A. Maltese (2009), Critical analysis of empirical ground heat flux equations on a cereal field using micrometeorological data, Proc. SPIE, 7472, 747225, 1–12.
7. Chen, Y., et al. (2014), Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China, Remote Sens. Environ., 140, 279–293.
8. Choudhury, B. J., S. B. Idso, and R. J. Reginato (1987), Analysis of an empirical model for soil heat flux under a growing wheat crop for estimating evapotranspiration by an infrared-temperature based energy balance equation, Agric. For. Meteorol., 39(4), 283–297.
9. Clothier, B. E., K. L. Clawson, P. J. Pinter, M. S. Moran, R. J. Reginato, and R. D. Jackson (1986), Estimation from soil heat flux from net radiation during the growth of alfalfa, Agric. For. Meteorol., 37, 319–329.
10. Daughtry, C. S. T., W. P. Kustas, M. S. Moran, P. J. Pinter, R. D. Jackson, P. W. Brown, W. D. Nichols, and L. W. Gay (1990), Spectral estimates of net radiation and soil heat flux, Remote Sens. Environ., 32, 111–124.
11. Ershadi, A., M. F. McCabe, J. P. Evans, N. W. Chaney, and E. F. Wood (2014), Multi-site evaluation of terrestrial evapotranspiration models using FLUXNET data, Agric. For. Meteorol., 187(15), 46–61.
12. Fisher, J. B., K. P. Tu, and D. Baldocchi (2008), Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites, Remote Sens. Environ., 112(3), 901–919.
13. Holmes, T. R. H., M. Owe, R. A. M. De Jeu, and H. Kooi (2008), Estimating the soil temperature profile from a single depth observation: A simple empirical heatflow solution, Water Resour. Res., 44, W02412, doi:10.1029/2007WR005994.
14. Idso, S. B., T. J. Schmugge, R. D. Jackson, and R. J. Reginato (1975), The utility of surface temperature measurements for the remote sensing of surface soil water status, J. Geophys. Res., 80, 3044–3049, doi:10.1029/JC080i021p03044.
15. Irmak, A., R. K. Singh, E. A. Walter-Shea, S. Verma, and A. E. Suyker (2011), Comparison and analysis of empirical equations for soil heat flux for different cropping systems and irrigation methods. Papers in Natural Resources Paper 334. [Available at http://digitalcommons.unl.edu/natrespapers/334.]
16. Jacobsen, A., and B. U. Hansen (1999), Estimation of the soil heat flux/net radiation ratio based on spectral vegetation indexes at high latitude Arctic areas, Int. J. Remote Sens., 20(2), 445–461, doi:10.1080/014311699213532.
17. Jiménez, C., et al. (2011), Global intercomparison of 12 land surface heat flux estimates, J. Geophys. Res., 116, D02102, doi:10.1029/2010JD014545.
18. Kustas, W. P., and C. S. T. Daughtry (1990), Estimation of the soil heat flux/net radiation ratio from spectral data, Agric. For. Meteorol., 49, 205–223.
19. Kustas, W. P., C. S. T. Daughtry, and P. J. Van Oevelen (1993), Analytical treatment of the relationships between soil heat flux/net radiation ratio and vegetation indices, Remote Sens. Environ., 46, 319–330.
20. Kustas, W. P., J. H. Prueger, J. L. Hatfield, K. Ramalingam, and L. E. Hi (2000), Variability of soil heat flux from a mesquite dune site, Agric. For. Meteorol., 103, 249–264.
21. McCabe, M., et al. (2013), in Global-Scale Estimation of Land Surface Heat Fluxes from Space: Product Assessment and Inter-Comparison, Remote Sensing of Energy Fluxes and Soil Moisture Content, edited by G. P. Petropoulos, pp. 538, CRC Press, Taylor & Francis Group.
22. Michel, D., et al. (2016), The WACMOS-ET project—Part 1: Tower-scale evaluation of four remote sensing-based evapotranspiration algorithms, Hydrol. Earth Syst. Sci., 20, 803–822.
23. Miralles, D. G., T. R. H. Holmes, R. A. M. De Jeu, J. H. Gash, A. G. C. A. Meesters, and A. J. Dolman (2011), Global land-surface evapotranspiration estimated from satellite-based observations, Hydrol. Earth Syst. Sci., 15(2), 453–469.
24. Miralles, D. G., et al. (2016), The WACMOS-ET project—Part 2: Evaluation of global terrestrial evaporation data sets, Hydrol. Earth Syst. Sci., 20, 823–842.
25. Monteith, J. L. (1965), Evaporation and the environment, Symp. Soc. Exp. Biol., 19, 205–234.
26. Monteith, J. L. (1973), Principles of Environmental Physics, Edward Arnold Press, London.
27. Mu, Q., M. Zhao, and S. W. Running (2011), Improvements to a MODIS global terrestrial evapotranspiration algorithm, Remote Sens. Environ., 115, 1781–1800.
28. Mueller, B., et al. (2013), Benchmark products for land evapotranspiration: LandFlux-EVAL multi-dataset synthesis, Hydrol. Earth Syst. Sci., 17, 3707–3720.
29. Penman, H. L. (1948), Natural evaporation from open water, bare soil and grass, Proc. R. Soc. London Ser. A, 193, 120–146.
30. Priestley, C. H., and R. J. Taylor (1972), Assessment of surface heat flux and evaporation using large-scale parameters, Mon. Weather Rev., 100, 81–92.
31. Reginato, R. J., R. D. Jackson, and P. J. Pinter (1985), Evapotranspiration calculated from remote sensing multispectral and ground station meteorological data, Remote Sens. Environ., 18, 75–89.
32. Ross, J. (1976), Radiative transfer in plant communities, in Vegetation and the Atmosphere, edited by J. L. Monteith, pp. 13–56, Academic Press, London.
33. Santenello, J. A., and M. A. Friedl (2002), Diurnal variation in soil heat flux and net radiation, J. Appl. Meteorol., 42, 851–862.
34. Seguin, B., and B. Itier (1983), Using midday surface temperature to estimate daily evaporation from satellite thermal IR data, Int. J. Remote Sens., 4, 371–384.
35. Su, Z. (2002), The Surface Energy Balance System (SEBS) for turbulent heat fluxes, Hydrol. Earth Syst. Sci. Discuss., 6(1), 85–100.
36. Twine, T. E., W. P. Kustas, J. M. Norman, D. R. Cook, P. R. Houser, T. P. Meyers, J. H. Prueger, P. J. Starks, and M. L. Wesely (2000), Correcting eddy-covariance flux underestimates over a grassland, Agric. For. Meteorol., 103(3), 279–300.
37. Vinukollu, R. K., R. Meynadier, J. Sheffield, and E. F. Wood (2011), Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches, Remote Sens. Environ., 115(3), 801–823.