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References

  • Agbu, P. A., M. E. James, The NOAA/NASA Pathfinder AVHRR Land Data Set User's Manual, Goddard Distributed Active Arch. Cent., Goddard Space Flight Cent., NASA, Greenbelt, Md., 1994.
  • Avissar, R., Conceptual aspects of a statistical-dynamical approach to represent landscape subgrid-scale heterogeneities in atmospheric models, J. Geophys. Res., 97, 27292742, 1992.
  • Bonan, G. B., D. Pollard, S. L. Thompson, Influence of subgrid-scale heterogeneity in leaf area index, stomatal resistance, and soil moisture on grid-scale land-atmosphere interactions, J. Clim., 6, 18821897, 1993.
  • Bufton, J. L., Vegetation lidar36th Goddard Memorial SymposiumAm. Astronaut. Soc.Greenbelt, Md.March 18–19, 1998.
  • Carlson, T. N., E. M. Perry, T. J. Schmugge, Remote estimation of soil moisture availability and fractional vegetation cover for agricultural fields, Agric. For. Meteorol., 52, 4570, 1990.
  • Dickinson, R. E., A. Henderson-Sellers, Modeling tropical deforestation: A study of GCM land-surface parameterizations, Q. J. R. Meteorol. Soc., 114, 439462, 1988.
  • Dickinson, R. E., P. Kennedy, Impacts on regional climate of Amazon deforestation, Geophys. Res. Lett., 19, 19471950, 1992.
  • Dickinson, R. E., A. Henderson-Sellers, P. J. Kennedy, Biosphere-Atmosphere Transfer Scheme (BATS) version le as coupled to the NCAR community climate modelNCAR Tech. Note NCAR/TN-387+STR, 72Natl. Cent. for Atmos. Res., Boulder, Colo., 1993.
  • Giorgi, F., L. O. Mearns, C. Shields, L. Mayer, A regional model study of the importance of local versus remote controls of the 1988 drought and the 1993 flood over the central United States, J. Clim., 9, 11501162, 1996.
  • Gutman, G., Towards monitoring droughts from space, J. Clim., 3, 282295, 1990.
  • Gutman, G., A. Ignatov, The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models, Int. J. Remote Sens., 19, 15331543, 1998.
  • Hahmann, A. N., D. M. Ward, R. E. Dickinson, Land surface temperature and radiative fluxes response of the NCAR CCM2/Biosphere-Atmosphere Transfer Scheme to modifications in the optical properties of clouds, J. Geophys. Res., 100, 2323923252, 1995.
  • Hautecoeur, O., M. M. Leroy, Surface bidirectional reflectance distribution function observed at global scale by POLDER/ADEOS, Geophys. Res. Lett., 25, 41974200, 1998.
  • Henderson-Sellers, A., K. McGuffie, Global climate models and “dynamic” vegetation changes, Global Change Biol., 1, 6375, 1995.
  • James, M. E., S. N. V. Kalluri, The Pathfinder AVHRR land data set: An improved coarse resolution data set for terrestrial monitoring, Int. J. Remote Sens., 15, 33473363, 1994.
  • Knyazikhin, Y., J. V. Martonchik, R. B. Myneni, D. J. Diner, S. W. Running, Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data, J. Geophys. Res., 103, 3225732275, 1998.
  • Kogan, F. N., Global drought watch from space, Bull. Am. Meteorol. Soc., 78, 621636, 1997.
  • Los, S. O., Linkages between global vegetation and climate: An analysis based on NOAA-advanced very high resolution radiometer data, Ph.D. thesis,, 202 pp.,Vrije Univ.,Amsterdam,1998.
  • Los, S. O., C. O. Justice, C. J. Tucker, A global 1° by 1° NDVI data set for climate studies derived from the GIMMS continental NDVI data, Int. J. Remote Sens., 15, 34933518, 1994.
  • Loveland, T. R., J. W. Merchant, D. O. Ohlen, J. F. Brown, Development of a land-cover characteristics database for the conterminous U.S., Photogramm. Eng. Remote Sens., 57, 14531463, 1991.
  • Lynch, A. H., D. L. McGinnis, D. A. Bailey, Snow albedo feedback and the spring transition in a regional climate system model: Influence of land surface model, J. Geophys. Res., 103, 2903729049, 1998.
  • Mason, P. J., The formation of areally-averaged roughness lengths, Q. J. R. Meteorol. Soc., 114, 399420, 1988.
  • Mearns, L. O., S. H. Schneider, S. L. Thompson, L. R. McDaniel, Analysis of climate variability in general circulation models: Comparison with observation and changes in variability in 2×CO2 experiments, J. Geophys. Res., 95, 2046920490, 1990.
  • Meeson, B. W., F. E. Corprew, J. M. P. McManus, D. M. Myers, J. W. Closs, K.-J. Sun, D. J. Sunday, P. J. Sellers, ISLSCP Initiative I — Global data sets for land-atmosphere models, 1987–1988 [CD-ROM],, 1–5, NASA, Washington, D.C., 1995.
  • Myneni, R. B., R. R. Nemani, S. W. Running, Estimation of global leaf area index and absorbed PAR using radiative transfer models, IEEE Trans. Geosci. Remote Sens., 35, 13801393, 1997.
  • , National Snow and Ice Data Center (NSIDC), 1978–1995 Northern Hemisphere weekly snow cover and sea ice extent, digital data available from nsidc@kryos.colorado.edu, Univ. of Colo. at Boulder, 1996.
  • Oleson, K. W., A remote sensing-based modeling study of land-atmosphere fluxes during climatic extremes in the Mississippi River Basin, Ph.D. thesis,, 320 pp.,Univ. of Colo.,Boulder,1998.
  • Oleson, K. W., K. L. Driese, J. A. Maslanik, W. J. Emery, W. A. Reiners, The sensitivity of a land surface parameterization scheme to the choice of remotely sensed land-cover datasets, Mon. Weather Rev., 125, 15371555, 1996.
  • Randall, D. A., et al., A revised land surface parameterization (SiB2) for GCMs, III, The greening of the Colorado State University general circulation model, J. Clim., 9, 738763, 1996.
  • Roughgarden, J., S. W. Running, P. A. Matson, What does remote sensing do for ecology?, Ecology, 72, 19181922, 1991.
  • Sellers, P. J., et al., A global 1° by 1° NDVI data set for climate studies, 2, The generation of global fields of terrestrial biophysical parameters from the NDVI, Int. J. Remote Sens., 15, 35193545, 1994.
  • Sellers, P. J., et al., Remote sensing of the land surface for studies of global change: Models-algorithms-experiments, Remote Sens. Environ., 51, 326, 1995.
  • Sellers, P. J., et al., The ISLSCP Initiative 1 global datasets: Surface boundary conditions and atmospheric forcings for land-atmosphere studies, Bull. Am. Meteorol. Soc., 77, 19872004, 1996a.
  • Sellers, P. J., et al., A revised land surface parameterization (SiB2) for atmospheric GCMs, I, Model formulation, J. Clim., 9, 676705, 1996b.
  • Sellers, P. J., et al., A revised land surface parameterization (SiB2) for atmospheric GCMs, II, The generation of global fields of terrestrial biosphysical parameters from satellite data, J. Clim., 9, 706737, 1996c.
  • Seth, A., F. Giorgi, The effects of domain choice on summer precipitation simulation and sensitivity in a regional climate model, J. Clim., 11, 26982712, 1998.
  • Smith, P. M., S. N. V. Kalluri, S. D. Prince, R. DeFries, The NOAA/NASA Pathfinder AVHRR 8-km land data set, Photogramm. Eng. Remote Sens., 63, 1232, 1997.
  • Stowe, L. L., et al., Global distribution of cloud cover derived from NOAA/AVHRR operational satellite data, Adv. Space Res., 11, 5154, 1991.
  • Strahler, A., et al., MODIS BRDF/albedo product, algorithm theoretical basis document, version 4.0, NASA, Washington, D.C., 1996.
  • Tanre, D., B. N. Holben, Y. J. Kaufman, Atmospheric correction algorithm for NOAA-AVHRR products: Theory and application, IEEE Trans. Geosci. Remote Sens., 30, 231248, 1992.
  • Teng, W. L., AVHRR monitoring of U.S. crops during the 1988 drought, Photogramm. Eng. Remote Sens., 56, 11431146, 1990.
  • Townshend, J. G., C. Justice, W. Li, C. Gurney, J. McManus, Global land cover classification by remote sensing: Present capabilities and future possibilities, Remote Sens. Environ., 35, 243255, 1991.
  • Trenberth, K. E., C. J. Guillemot, Physical processes involved in the 1988 drought and 1993 floods in North America, J. Clim., 9, 12881298, 1996.
  • , U.S. Department of Commerce/U.S. Department of Agriculture,July weather and crop summary,, Weekly Weather Crop Bull., 80, p.9,Aug. 3 ,1993.
  • Wessman, C. A., Spatial scales and global change: Bridging the gap from plots to GCM grid cells, Annu. Rev. Ecol. Syst., 23, 175200, 1992.
  • Wharton, S. W., M. F. Myers, MTPE/EOS Data Products Handbook, 266, NASA Goddard Space Flight Cent., Greenbelt, Md., 1997.
  • Wieringa, J., Roughness-dependent geographical interpolation of surface wind speed averages, Q. J. R. Meteorol. Soc., 112, 867889, 1986.
  • Xue, Y., M. J. Fennessy, P. J. Sellers, Impact of vegetation properties on U.S. summer weather prediction, J. Geophys. Res., 101, 74197430, 1996.