Global Drought and Flood. Группа авторов

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      4 Anderson, M.C., Hain, C., Otkin, J., Zhan, X., Mo, K., Svoboda, M., Wardlow, B., & Pimstein, A. (2013). An intercomparison of drought indicators based on thermal remote sensing and NLDAS‐2 simulations with U.S. Drought Monitor classifications. Journal of Hydrometeorology, 14, 1035–1056.

      5 Anderson, M.C., Hain, C.R., Wardlow, B., Pimstein, A., Mecikalski, J.R., & Kustas, W.P. (2011). Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental U.S. Journal of Climate, 24, 2025–2044.

      6 Anderson, M.C., Norman, J.M., Diak, G.R., Kustas, W.P., & Mecikalski, J.R. (1997). A two‐source time‐integrated model for estimating surface fluxes using thermal infrared remote sensing. Remote Sensing of the Environment, 60, 195–216.

      7 Anderson, M.C., Norman, J.M., Kustas, W.P., Li, F., Prueger, J.H., & Mecikalski, J.R. (2005). Effects of vegetation clumping on two‐source model estimates of surface energy fluxes from an agricultural landscape during SMACEX. Journal of Hydrometeorology, 6, 892–909.

      8 Anderson, M.C., Normal, J.M., Kustas, W.P., Li, F., Prueger, J.H., & Mecikalski, J.R. (2007). A climatological study of evapotranspiration and moisture stress across the continental United States: 1. Model formulation. Journal of Geophysical Research, 112(D10). https://doi.org/10.1029/2006JD007506

      9 Barriopedro, D., Fischer, E.M., Luterbacher, J., Trigo, R.M., & García‐Herrera, R. (2011). The hot summer of 2010: Redrawing the temperature record map of Europe. Science, 332, 220–224.

      10 Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A., & Holtslag, A.A.M. (1998). A remote sensing surface energy balance algorithm for land (SEBAL)—1. Formulation. Journal of Hydrology, 212(1–4), 198–212. doi:10.1016/s0022‐1694(98)00253‐4

      11 Bastiaanssen, W.G.M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J.F., Roerink, G.J., & van der Wal, T. (1998). A remote sensing surface energy balance algorithm for land (SEBAL) —2. Validation, Journal of Hydrology, 212(1–4), 213–229. doi:10.1016/s0022‐1694(98)00254‐6

      12 Brutsaert, W. (1982). Evaporation into the atmosphere: Theory, history and applications (1st edn.). Springer.

      13 Brutsaert, W. & Sugita, M. (1992). Application of self‐preservation in the diurnal evolution of the surface energy budget to determine daily evaporation. Journal of Geophysical Research, 97, 18377–18382.

      14 Carlson, T.N., & Ripley, D.A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62, 241–252.

      15 Courault, D., Clastre, P., Guinot, J.P., & Seguin, B. (1994). Analyse des s´echeresses de 1988 `a 1990 en France `a partir de l’analyse combin´ee de donn´ees satellitaires NOAA‐AVHRR et d’un mod`ele agrom´et´eorologique. Agronomie, 14, 41–56.

      16 Courault, D., Seguin, B., & Olioso, A. (2005). Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches. Irrigation and Drainage Systems, 19, 223–249.

      17 Crago, R.D. (1996). Comparison of the evaporative fraction and the Priestley–Taylor α for parameterizing daytime evaporation. Water Resources Research, 32, 1403–1409.

      18 Culf, A.D. (1993). The potential for estimating regional sensible heat flux from convective boundary layer growth. Journal of Hydrology, 146, 235–244.

      19 Diak, G.R. (1990). Evaluation of heat flux, moisture flux and aerodynamic roughness at the land surface from knowledge of the PBL height and satellite‐derived skin temperatures. Agriculture and Forest Meteorology, 52, 181–198.

      20 Diak, G.R. & Whipple, M.S. (1995) A note on estimating surface sensible heat fluxes using surface temperatures measured from a geostationary satellite during FIFE 1989. Journal of Geophysical Research, 100, 25453–25461.

      21 Engman, E.T. (1991). Applications of microwave remote sensing of soil moisture for water resources and agriculture. Remote Sensing of Environment, 35, 213–226.

      22 Entekhabi, D., Njoku, E.G. Houser, P., Spencer, M., Doiron, T., Yunjin, K., et al. (2004). The hydrosphere state (hydros) satellite mission: an Earth system pathfinder for global mapping of soil moisture and land freeze/thaw. IEEE Transactions on Geoscience and Remote Sensing, 42, 2184–2195.

      23 Fang, L., Hain, C.R., Zhan, X., & Anderson, M.C. (2016). An inter‐comparison of soil moisture data products from satellite remote sensing and a land surface model. International Journal of Applied Earth Observation and Geoinformation, 48, 37–50.

      24 Fisher, J.B., Tu, K.P., & Baldocchi, D.D. (2008). Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP‐II data, validated at 16 FLUXNET sites. Remote Sensing of Environment, 112, 901–919.

      25 Gash, J.H.C. (1987). An analytical framework for extrapolating evaporation measurements by remote sensing surface temperatures. International Journal of Remote Sensing, 8, 1245–1249.

      26 Grigg, N.S. (2014). The 2011–2012 drought in the United States: new lessons from a record event. International Journal of Water Resources Development, 30, 183–199.

      27 Gurney, 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