R.J., & Hsu, A.Y. (1990). Relating evaporative fraction to remotely sensed data at the FIFE site (pp. 7–9). Symposium on FIFE: First ISLSCP Field Experiment, February, Boston, MA.28 Hain, C., Anderson, M., Schull, M.A., & Neal, C.M.U. (2017). A framework for mapping global evapotranspiration using 375‐m VIIRS LST [H52G‐02]. AGU Fall Meeting, December, New Orleans, LA.
29 Hain, C.R., Crow, W., Mecikalski, J.R., Anderson, M.C., & Holmes, T.R.H. (2011) An intercomparison of available soil moisture estimates from thermal‐infrared and passive microwave remote sensing and land‐surface modeling. Journal of Geophysical Research, 116(D15). https://doi.org/10.1029/2011JD015633
30 Hall, F.G., Huemmrich, K.F., Goetz, S.J., Sellers, P.J., & Nickerson, J.E. (1992). Satellite remote sensing of surface energy balance: Success, failures and unresolved issues in FIFE. Journal of Geophysical Research, 97, 19061–19089.
31 Hoerling, M., Eischeid, J., Kumar, A., Leung, R., Mariotti, A., Mo, K., Schubert, S., & Seager, R. (2014). Causes and predictability of the 2012 Great Plains drought. Bulletin of the American Meteorological Society, 95, 269–282.
32 Holmes, T.R.H., De Jeu, R.A.M., Owe, M., & Dolman, A.J. (2009). Land surface temperature from Ka band (37 GHz) passive microwave observations. Journal of Geophysical Research, 114, D04113. doi:10.1029/2008JD010257
33 Idso, S.B., Jackson, R.D., Pinter, P.J., & Hatfield, J.H. (1981). Normalizing the stress‐degree‐day parameter for environmental variability. Agricultural Meteorology, 24(1), 45–55.
34 Idso, S.B., Schmugge, T.J., Jackson, R.D., & Reginato, R.J. (1975). The utility of surface temperature measurements for the remote sensing of surface soil water status. Journal of Geophysical Research, 80, 3044–3049.
35 Jackson, R.D. (1982). Soil moisture inferences from thermal‐infrared measurements of vegetation temperatures. IEEE Transactions of Geosciences Remote Sensing, 33, 1475–1484.
36 Jackson, R.D., Reginato, R.J., & Idso, S.B. (1977). Wheat canopy temperature: A practical tool for evaluating water requirements. Water Resources Research, 13, 651–656.
37 Jackson, T.J. (1993). III. Measuring surface soil moisture using passive microwave remote sensing. Hydrological Processes, 7, 139–152.
38 Janssen, P. A. E. M., S. Abdalla, H. Hersbach & J.‐R. Bidlot (2007). Error Estimation of Buoy, Satellite, and Model Wave Height Data. Journal of Atmospheric and Oceanic Technology, 24, 1665–1677.
39 Kalluri, S.N.V., Townshend, J.R.G., & Doraiswamy, P. (1998). A simple single layer model to estimate transpiration from vegetation using multi‐spectral and meteorological data. International Journal of Remote Sensing, 19, 1037–1053.
40 Kogan, F., Adamenko, T., & Guo, W. (2013). Global and regional drought dynamics in the climate warming era. Remote Sensing Letters, 4, 364–372.
41 Kustas, W.P. (1990). Estimates of evapotranspiration with a one‐ and two‐layer model of heat transfer over partial canopy cover. Journal of Applied Meteorology, 29, 704–715.
42 Kustas, W.P., & Norman, J.M. (1996). Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrological Sciences Journal, 41, 495–516.
43 Kustas, W.P., & Norman, J.M. (1997). A two‐source approach for estimating turbulent fluxes using multiple angle thermal infrared observations. Water Resources Research, 33, 1495–1508.
44 Lagouarde, J.‐P. (1991). Use of NOAA AVHRR data combined with an agrometeorological model for evaporation mapping. International Journal of Remote Sensing, 12, 1853–1864.
45 Loague, K.M. & Freeze, R.A. (1985). A Comparison of Rainfall‐Runoff Modeling Techniques on Small Upland Catchments. Water Resources Research, 21, 229–248.
46 McFarland, M.J., R. L. Miller & C. M. U. Neale (1990). Land surface temperature derived from the SSM/I passive microwave brightness temperatures. IEEE Transactions on Geoscience and Remote Sensing, 28, 839–845.
47 McNaughton, K.J. & T. W. Spriggs (1986). A mixed‐layer model for regional evaporation Boundary‐Layer Meteorology, 74, 243–262.
48 Mecikalski, J.M., Diak, G.R. M.C. Anderson & J.M., Norman (1999). Estimating fluxes on continental scales using remotely sensed data in an atmosphere‐land exchange model. Journal of Applied Meteorology, 38, 1352–1369.
49 Miralles, D.G., Crow, W.T. & Cosh, M.H. (2010). Estimating Spatial Sampling Errors in Coarse‐Scale Soil Moisture Estimates Derived from Point‐Scale Observations. Journal of Hydrometeorology, 11, 1423–1429.
50 Monteith, J.L. (1964). Evaporation and environment. The state of movement of water in living organisms. In Symposium of the society of experimental biology, 205−234.
51 Monteith, J.L. (1988). Does transpiration limit the growth of vegetation or vice versa? Journal of Hydrology, 100, 57–68.
52 Moran, M.S., Clarke, T.R., Inoue, Y., & Vidal, A. (1994). Estimating crop water deficit using the relation between surface‐air temperature and spectral vegetation index, Remote Sensing of the Environment, 49, 246–263.
53 Mu, Q., Heinsch, F.A., Zhao, M., & Running, S.W. (2007). Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment, 111, 519536.
54 Neale, C.M.U., Jayanthi, H., & Wright, J.L. (2005). Irrigation water management using high resolution airborne remote sensing. Irrigation and Drainage Systems, 19, 321–336.
55 Norman, J.M., & Becker, F. (1995). Terminology in thermal infrared remote sensing of natural surfaces. Agricultural and Forest Meteorology, 77, 153–166.
56 Norman, J.M., Kustas, W.P., & Humes, K.S. (1995). A two‐source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperatures. Agricultural and Forest Meteorology, 77, 263–293.
57 Otkin, J.A., Anderson, M.C., Hain, C.R., & Svoboda, M. (2014). Using temporal changes in drought indices to generate probabilistic drought intensification forecasts. Journal of Hydrometeorology, 16(1), 110–125.
58 Penman, H.L. (1948). Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society of London, Series A, Mathematical and Physical Sciences, 193, 120–145.
59 Price, J.C. (1980). The potential of remotely sensed thermal infrared data to infer surface soil moisture and evaporation. Water Resources Research, 16, 787–795.
60 Price, J.C. (1982). Estimation of regional scale evapotranspiration through analysis of satellite thermal‐infrared data. IEEE Transactions on Geoscience and Remote Sensing, GE‐20, 286–292.
61 Priestley, C.H.B., & Taylor, R.J. (1972). On the assessment of surface heat flux and evaporation using large‐scale parameters. Monthly Weather Review, 100(2), 81–92. doi:10.1175/1520‐0493(1972)100<0081:OTAOSH>2.3.CO;2
62 Rabin, R.M., Stadler, S. Wetzel, P.J., Stensrud, D.J., & Gregory, M. (1990). Observed effects of landscape variability on convective clouds. Bulletin of the American Meteorological Society, 71, 272–280.
63 Scipal, K., Holmes, T., de Jeu, R., Naeimi, V., & Wagner, W. (2008). A possible solution for the problem of estimating the error structure
