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  • Other Sources  (2)
  • NASA Technical Reports  (2)
  • Earth Resources and Remote Sensing  (2)
  • 1995-1999  (2)
  • 1997  (2)
  • 1
    Publication Date: 2018-06-08
    Description: In the problem of inverting remote sensing measurements of rain, current representations of the raindrop size distribution (DSD) suffer crucially from the expedient but unjustified and empirically ill-fitting assumption that the distribution has a known closed-form shape, whether log-normal or T-distributed.
    Keywords: Earth Resources and Remote Sensing
    Type: Quarterly Journal of the Royal Metrological Society
    Format: text
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  • 2
    Publication Date: 2019-06-28
    Description: A coupled model, which combines the Biosphere-Atmosphere Transfer Scheme (BATS) with an advanced atmospheric boundary-layer model, was used to validate hypothetical aggregation rules for BATS-specific surface cover parameters. The model was initialized and tested with observations from the Anglo-Brazilian Amazonian Climate Observational Study and used to simulate surface fluxes for rain forest and pasture mixes at a site near Manaus in Brazil. The aggregation rules are shown to estimate parameters which give area-average surface fluxes similar to those calculated with explicit representation of forest and pasture patches for a range of meteorological and surface conditions relevant to this site, but the agreement deteriorates somewhat when there are large patch-to-patch differences in soil moisture. The aggregation rules, validated as above, were then applied to remotely sensed 1 km land cover data set to obtain grid-average values of BATS vegetation parameters for 2.8 deg x 2.8 deg and 1 deg x 1 deg grids within the conterminous United States. There are significant differences in key vegetation parameters (aerodynamic roughness length, albedo, leaf area index, and stomatal resistance) when aggregate parameters are compared to parameters for the single, dominant cover within the grid. However, the surface energy fluxes calculated by stand-alone BATS with the 2-year forcing, data from the International Satellite Land Surface Climatology Project (ISLSCP) CDROM were reasonably similar using aggregate-vegetation parameters and dominant-cover parameters, but there were some significant differences, particularly in the western USA.
    Keywords: Earth Resources and Remote Sensing
    Type: NASA-CR-204766 , NAS 1.26:204766
    Format: application/pdf
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