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Part of the book series: Ecological Studies ((ECOLSTUD,volume 79))

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Abstract

The goal of obtaining water and energy exchange on continental scales from remote sensing is fundamental to the questions not only of ecosystem functioning but also of land climate processes and regional hydrology. A general conceptual framework is described here for carrying out this work. Progress up to now has been limited for several reasons: the current sensing systems are probably inadequate for the task, the information content of potential future systems has not been adequately characterized by modeling sensitivity studies, and the linked remote sensing and modeling infrastructure has not yet been developed that is needed to carry out this activity.

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References

  • Alley, W.M. (1984). The Palmer Drought Severity Index: limitations and assumptions. JCAM 23:1100–1109.

    Google Scholar 

  • Austin, P.M. (1987). Relation between measured radar reflectivity and surface rainfall. Mon. Wea. Rev. 115:1053–1070.

    Article  Google Scholar 

  • Band, L.E. (1986). Topographic partition of watersheds with digital elevation models. Water Resources Res. 22(1): 15–24.

    Article  Google Scholar 

  • Baumgartner, A., and Reichel, E. (1975). The World Water Balance. Elsevier, NY.

    Google Scholar 

  • Becker, F., and Choudhury, B.J. (1988). Relative sensitivity of normalized difference vegetation index (NDVI) and microwave polarization difference index (MPDI) for vegetation and desertification monitoring. Remote Sens. Envir. 24:287–311.

    Article  Google Scholar 

  • Bell, T.L. (1987). A space-time stochastic model of rainfall for satellite remote-sensing studies. J. Geophys. Res. 92(D8): 9631–9643.

    Article  Google Scholar 

  • Bengtsson, L., Ghil, M., and Källén, E. (1980). Dynamic Meteorology: Data Assimilation Methods. Springer-Verlag, NY.

    Google Scholar 

  • Bengtsson, L., and Shukla, J. (1988). Integration of space and in situ observations to study global climate change. Bull. Amer. Meteorol. Soc. 69(10): 1130–1143.

    Article  Google Scholar 

  • Beven, K.J., Wood, E.F., and Sivapalan, M. (1988). On hydrological heterogeneity-catchment morphology and catchment response. J. Hydrology 100: 353–375.

    Article  Google Scholar 

  • Blanchard, B.J., McFarland, M.J., Schmugge, T.J., and Rhoades, E. (1981). Estimation of soil moisture with API algorithms and microwave emission. Water Resources Bull. 17(5): 767–774.

    Google Scholar 

  • Bryan, F., and Oort, A. (1984). Seasonal variation of the global water balance based on aerological data. J. Geophys. Res. 89(D7): 11

    Article  Google Scholar 

  • Bryan, F., and Oort, A. (1984). Seasonal variation of the global water balance based on aerological data. J. Geophys. Res. 89(D7): 717–11.

    Article  Google Scholar 

  • Bryan, F., and Oort, A. (1984). Seasonal variation of the global water balance based on aerological data. J. Geophys. Res. 89(D7):, 730.

    Article  Google Scholar 

  • Camillo, P.J., Gurney, R.J., and Schmugge, T.J. (1983). A soil and atmospheric boundary layer model for evapotranspiration and soil moisture studies. Water Resources Res. 19(2): 371–380.

    Article  Google Scholar 

  • Carlson, T.N. (1986). Regional-scale estimates of surface moisture availability and thermal measurements. Remote Sens. Rev. 1:197–247.

    Google Scholar 

  • Carlson, T.N., Dodd, J.K., Benjamin, S.G., and Cooper, J.N. (1981). Satellite estimation of the surface energy balance, moisture availability and thermal inertia. J. Appl. Meteorol. 20:67–87.

    Article  Google Scholar 

  • Choudhury, B.J. (1987). Relationships between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysis. Remote Sens. Envir. 22:209–233.

    Article  Google Scholar 

  • Choudhury, B.J., and Blanchard, B.J. (1983). Simulating soil water recession coefficients for agricultural watersheds. Water Resources Bull. 19(2): 241–247.

    Google Scholar 

  • Choudhury, B.J., and Golus, R. E. (1988). Estimating soil wetness using satellite data. Int. J. Remote. Sens. 9(7): 1251–1257.

    Article  Google Scholar 

  • Choudhury, B.J., and Monteith, J.L. (1988). A four-layer model for the heat budget of homogeneous land surfaces. Quart. J. Meteorol. Soc. 114:373–398.

    Article  Google Scholar 

  • Choudhury, B.J., Tucker, C.J., Golus, R.E., and Newcomb, W.W. (1987). Monitoring vegetation using Nimbus-7 scanning multichannel microwave radiometer data. Int. J. Remote Sens. 8:533–538.

    Article  Google Scholar 

  • Corio, L.A., and Pinker, R.T. (1987). Estimating monthly mean water and energy budgets over the central U.S. Great Plains. Part II: Evapoclimatonomy experiments. Mon. Wea. Rev. 115:1153–1160.

    Article  Google Scholar 

  • Darnell, W.L., Staylor, W.F., Gupta, S.K., and Denn, F.M. (1988). Estimation of surface insolation using sun-synchronous satellite data 1. J. Climate 8:820–835.

    Article  Google Scholar 

  • Deardorff, J. (1978). Efficient prediction of ground temperature and moisture with inclusion of a layer of vegetation. J. Geophys. Res. 83:1889–1903.

    Article  Google Scholar 

  • Delworth, T.L., and Manabe, S. (1988). The influence of potential evaporation on the variabilities of simulated soil wetness and climate. J. Climate 1:523–547.

    Article  Google Scholar 

  • Diak, G., and Gautier, C. (1983). Improvements to a simple physical model for estimating insolation from GOES data. JCAM 22:505–508.

    Google Scholar 

  • Diak, G., Heikkinen, S., and Bates, J. (1986). The influence of variations in surface treatment on 24-hour forecasts with a limited area model, including a comparison of modeled and satellite-measured surface temperatures. Mon. Wea. Rev. 114:215–232.

    Article  Google Scholar 

  • Dickinson, R.E. (1984). Modeling evapotranspiration for three-dimensional global climate models. pp. 58–72. In J.E. Hansen and T.Takahashi (eds.), Climate Processes and Climate Sensitivity. Geophys. Mono. 29. Amer. Geophys. Union, Washington, DC.

    Chapter  Google Scholar 

  • Dickinson, R.E. (1988). The force-restore model for surface temperatures and its generalizations, J. Climate 1:1086–1097.

    Article  Google Scholar 

  • Dickinson, R.E., Henderson-Sellers, A., Kennedy, P.J., and Wilson, M.F. (1986). Biosphere Atmosphere Transfer Scheme (BATS) for the NCAR Community Climate Model. Nat. Center for Atmos. Res. Tech Note/TN275 + STR.

    Google Scholar 

  • DiMego, G.J. (1988). The national meteorological center regional analysis system. Mon. Wea. Rev. 116:977–1000.

    Article  Google Scholar 

  • Eagleman, J.R., and Lin, W.C. (1976). Remote sensing of soil moisture by a 21-cm passive radiometer. J. Geophys. Res. 81(21): 3660–3666.

    Article  Google Scholar 

  • Eagleson, P.S. (1982). Ecological optimality in water limited natural soil-vegetation systems. 1. Theory and hypothesis. Water Resources Res. 18:325–340.

    Article  Google Scholar 

  • Ehler, W.L., Idso, S.B., Jackson, R.D., and Reginato, R.J. (1978). Diurnal changes in plant water potential and canopy temperature of wheat as affected by drought. Agron. J. 70:999–1004.

    Article  Google Scholar 

  • Flores, A.L., and Carlson, T.N. (1987). Estimation of surface moisture availability from remote temperature measurements. J. Geophys. Res. 92(D8): 9581–9585.

    Article  Google Scholar 

  • Gleick, P.H. (1986). Methods for evaluating the regional hydrologic impacts of global climatic changes. J. Hydrology 88:97–116.

    Article  Google Scholar 

  • Griffith, C.G. (1987). Comparisons of gauge and satellite rain estimates for the central United States during August 1979. J. Geophys. Res. 92(D8):9551–9566.

    Article  Google Scholar 

  • Hechinger, E., Becker, F., and Raffy, N. (1982). Comparison between the accuracies of a new discretization method and an improved Fourier method to evaluate heat transfers between soil and atmosphere. J. Geophys. Res. 87:7325–7339.

    Article  Google Scholar 

  • Hope, A.S. (1988). Estimation of wheat canopy resistance using combined remotely sensed spectral reflectance and thermal observations. Remote Sens. Envir. 24:369–383.

    Article  Google Scholar 

  • Hope, A.S., Petzold, D.E., Goward, S.N., and Ragan, R.M. (1986). Simulated relationships between spectral reflectance, thermal emissions, and evapotranspiration of a soybean canopy. Water Resources Bull. 22(6): 1011–1019.

    Google Scholar 

  • Idso, S.B., and Ehler, W.L. (1976). Estimating soil moisture in the root zone of crops. A technique adaptable to remote sensing. Geophys. Res. Lett. 3:23–25.

    Article  Google Scholar 

  • Idso, S.B., Jackson, R.D., and Reginato, R.T. (1975). Estimating evaporation: A technique adaptable to remote sensing. Science 189:991–992.

    Article  PubMed  CAS  Google Scholar 

  • Idso, S.B., Jackson, R.D., and Reginato, R.J. (1977). An equation for potential evaporation from soil, water and crop surfaces adaptable to use by remote sensing. Geophys. Res. Lett. 4:187–188.

    Article  Google Scholar 

  • Isaacs, R.G., Hoffman, R.N., and Kaplan, L.D. (1986). Satellite remote sensing of meteorological parameters for global numerical weather prediction. Rev. Geophys. 24(4): 701–743.

    Article  Google Scholar 

  • Jackson, R.D. (1985). Evaluating evapotranspiration at local and regional scales. Proc. IEEE 73(6): 1086–1096.

    Article  Google Scholar 

  • Jackson, R.D., and Reginato, R.J. (1976). Compensating for environmental variability in the thermal inertia approach to remote sensing of soil moisture. J. Appl. Meteorol. 15:811–817.

    Article  Google Scholar 

  • Jackson, T.J., and O’Neil, P. (1987). Temporal observations of surface soil moisture using a passive microwave sensor. Remote Sens. Envir. 21:281–296.

    Article  Google Scholar 

  • Kahle, A.B. (1977). A simple thermal model of the earth’s surface for geologic mapping by remote sensing. J. Geophys. Res. 82:1673–1680.

    Article  Google Scholar 

  • Karl, T.R. (1986). The relationship of soil moisture parameterizations to subsequent seasonal and monthly mean temperature in the United States. Mon. Wea. Rev. 114:675–686.

    Article  Google Scholar 

  • Kellogg, W.W., and Zhao, A. (1988). Sensitivity of soil moisture to doubling of carbon dioxide in climate model experiments. Part 1: North America. J. Climate 1:348–366.

    Article  Google Scholar 

  • Manabe, S. (1969). Climate and ocean circulation:I. The atmospheric circulation and the hydrology of the earth’s surface. Mon. Wea. Rev. 97: 739–774.

    Article  Google Scholar 

  • Nemani, R.R., and Running, S.W. (1989). Testing a theoretical climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation. Agric. Forest Meteorol. 44:245–260.

    Article  Google Scholar 

  • Nogues-Paegle, J., and Daley, R. (1988). Summary of the global weather experiment workshops on the hydrological cycle and data assimilation. Bull. Amer. Meteorol. Soc. 69(4): 377–382.

    Google Scholar 

  • Peixoto, J.P., and Oort, A.H. (1983). The Atmospheric Branch of the Hydrological Cycle and Climate. Variations in the Global Water Budget. Reidel. Norwell, MA, pp. 5–65.

    Google Scholar 

  • Pinker, R.T., and Corio, L.A. (1987). Estimating monthly mean water and energy budgets over the central U.S. Great Plains. Part I: Evapoclimatonomy model formulation. Mon. Wea. Rev. 115(6): 1140–1152.

    Article  Google Scholar 

  • Pinker, R.T., and Ewing, J. A. (1986). Effect of surface properties on the narrow to broadband spectral relationship in clear sky satellite observations. Remote Sens. Envir. 20:267–282.

    Article  Google Scholar 

  • Prevot, L., Bernard, R., Taconet, O., Vidal-Madjar, D., and Thony, J.L. (1984). Evaporation from a bare soil evaluated using a soil water transfer model and remotely sensed surface soil moisture data. Water Resources Res. 20(2): 311–316.

    Article  Google Scholar 

  • Price, J.C. (1977). Thermal inertia mapping: A new view of the earth. J. Geophys. Res. 82:2582–2590.

    Article  Google Scholar 

  • Priestley, C.H.B., and Taylor, R.J. (1972). On the assessment of surface heat flux and evaporation using large-scale parameters. Mon. Wea. Rev. 100(2): 81–92.

    Article  Google Scholar 

  • Rasmusson, E.M. (1968). Atmospheric water vapor transport and the water balance of North America. Mon. Wea. Rev. 96(10): 720–734.

    Article  Google Scholar 

  • Rodriguez-Iturbe, I. (1986). Scale of fluctuation of rainfall models. Water Resources Res. 22(9): 15S–37S.

    Article  Google Scholar 

  • Running, S.W., and Nemani, R.R. (1988). Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates. Remote Sens. Envir. 24:347–367.

    Article  Google Scholar 

  • Savijärvi, H.I. (1988). Global energy and moisture budgets from rawinsonde data. Mon. Wea. Rev. 116(2): 417–430.

    Article  Google Scholar 

  • Schmugge, T. (1987). Remote sensing applications in hydrology. Rev. Geophys. 25(2): 148–152.

    Article  Google Scholar 

  • Schmugge, T.J., Wang, J.R., and Asra, G. (1988). Results from the push broom microwave radiometer flights over the Konza Prairie in 1985. IEEE Trans. Geosci. Remote Sens. 26(5): 590–596.

    Article  Google Scholar 

  • Seguin, B., and Itier, B. (1983). Using midday surface temperature to estimate daily evaporation satellite thermal IR data. Int. J. Remote Sens. 4(2): 371–383.

    Article  Google Scholar 

  • Sellers, P.J. (1985). Canopy reflectance, photosynthesis and transpiration. Int. J. Remote Sens. 6(8): 1335–1372.

    Article  Google Scholar 

  • Sellers, P.J., Mintz, Y., Sud, Y.C., and Dalcher, A. (1986). A simple biosphere model (SiB) for use within general circulation models. J Atmos. Sci. 43:505–531.

    Article  Google Scholar 

  • Sellers, P.J., Rasool, S.I., and Bolle, H.J. (eds.). Satellite data algorithms for studies of the land surface. Proc. ISLSCP Workshop held at the Jet Propulsion Laboratory, Jan. 1987. ISLSCP Rep. no 9, Goddard Space Flight Center, Greenbelt, MD.

    Google Scholar 

  • Serafini, Y.V. (1987). Estimation of the evapotranspiration using surface and satellite data. Int. J. Remote Sens. 8(10): 1547–1562.

    Article  Google Scholar 

  • Simpson, J., Adler, R.F., and Negri, A.J. (1988a). On improved validation of rainfall estimates from geosynchronous IR products, pp. D-125-D-140. In Validation of Satellite Precipitation Measurements for the Global Precipitation Climatology Project. World Climate Programme Res. Rep. of Int. Wksp., held in Washington, DC, Nov. 17–21, WCRP-1, WMO/TD-No. 203. World Meteorological Organization, Geneva, Switzerland.

    Google Scholar 

  • Simpson, J.A., Adler, R.F., and North, G.R. (1988b). A proposed tropical rainfall measuring mission (TRMM) satellite. Bull. Amer. Meteorol. Soc. 69(3): 278–295.

    Article  Google Scholar 

  • Sinton, W.M., and Strong, J. (1960). Radiometric observations of Mars. Astrophys.J. 131:459–469.

    Article  Google Scholar 

  • Sivapalan, M., Beven, K., and Wood, E.F. (1987). On hydrologic similarity 2. A scaled model of storm runoff production. Water Resources Res. 23(12): 2266–2278.

    Article  Google Scholar 

  • Smith, W.L., Leslie, L.M., Diak, G.R., Goodman, B.M., Velden, C.S., Callan, G.M., Raymond, W., and Wade, G.S. (1988). The integration of meteorological satellite imagery and numerical dynamical forecast models. Phil. Trans. Roy. Soc. London A 324:317–323.

    Article  Google Scholar 

  • Soer, G.J.R. (1980). Estimation of regional evapotranspiration and soil moisture conditions using remotely sensed crop surface temperatures. Remote Sens. Envir. 9:27–45.

    Article  Google Scholar 

  • Taconet, O., Bernard, R., and Vidal-Madjar, D. (1986a). Evapotranspiration over an agricultural region using a surface flux/temperature model based on NOAA-AVHRR data. JCAM 25:284–307.

    Google Scholar 

  • Taconet, O., Carlson, T., Bernard, R., and Vidal-Madjar, D. (1986b). Evaluation of a surface/vegetation parameterization using satellite measurements of surface temperature. JCAM 25:1752–1767.

    Google Scholar 

  • Tarpley, J.D., (1988). Some climatological aspects of satellite-observed surface heating in Kansas. J. Appl. Meteorol. 27:20–29.

    Article  Google Scholar 

  • Thornthwaite, C.W., and Mather, J.R. (1985). The water balance. Publ. Climatol. 8:1.

    Google Scholar 

  • Trenberth, K.E., Christy, J.R., and Olson, J.G. (1987). Global atmospheric mass, surface pressure, and water vapor variations. J. Geophys. Res. 92(D12): 14,815–14,826.

    Article  Google Scholar 

  • Tucker, C.J., and Choudhury, B.J., (1987). Satellite remote sensing of drought conditions. Remote Sens. Envir. 23:243–251.

    Article  Google Scholar 

  • Van De Griend, A.A., Camillo, P.J., and Gurney, R.J. (1985). Discrimination of soil physical parameters, thermal inertia, and soil moisture from diurnal surface temperature fluctuations. Water Resources Res. 21(7): 997–1009.

    Article  Google Scholar 

  • Walsh, J.E., Jasperson, W.H., and Ross, B. (1985). Influences of snow cover and soil moisture on monthly air temperture. Mon. Wea. Rev 113:756–768.

    Article  Google Scholar 

  • Watson, K., and Hummer-Miller, S. (1981). A simple algorithm to estimate the effective regional atmospheric parameters for the thermal-inertia mapping. Remote Sens. Envir. 11:455–462.

    Article  Google Scholar 

  • Wetzel, P.J., Atlas, D., and Woodward, R.H. (1984). Determining soil moisture from geosynchronous satellite infrared data: A feasibility study. JCAM 23:375–391.

    Google Scholar 

  • Wetzel, P.J., and Chang, J. (1988). Evapotranspiration from nonuniform surfaces: A first approach for short-term numerical weather prediction. Mon. Wea. Rev. 116:600–621.

    Article  Google Scholar 

  • Wetzel, P.J., and Woodward, R.H. (1987).Soil moisture estimation using GOESVISSR infrared data: A case study with a simple statistical method. JCAM 26:107–117.

    Google Scholar 

  • Willmott, C.J., Rowe, C.M., and Mintz, T. (1985). Climatology of the terrestrial seasonal water cycle. J Climatol. 5:589–606.

    Article  Google Scholar 

  • Wood, E.F., Sivapalan, M., Beven, K., and Band, L. (1988). Effects of spatial variability and scale with implications to hydrologic modeling. J. Hydrol. 102:29–47.

    Article  Google Scholar 

  • Woodward, F.I. (1987). Climate and Plant Distribution. Cambridge Univ. Press, Cambridge, England.

    Google Scholar 

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Dickinson, R.E. (1990). Water and Energy Exchange. In: Hobbs, R.J., Mooney, H.A. (eds) Remote Sensing of Biosphere Functioning. Ecological Studies, vol 79. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3302-2_6

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  • DOI: https://doi.org/10.1007/978-1-4612-3302-2_6

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