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  • Other Sources  (4)
  • NASA Technical Reports  (4)
  • Earth Resources and Remote Sensing  (4)
  • 1995-1999  (4)
  • 1999  (2)
  • 1997  (2)
  • 1
    Publication Date: 2018-06-08
    Description: Current passive-microwave rain-retrieval methods are largely based on databases built off-line using cloud models.
    Keywords: Earth Resources and Remote Sensing
    Type: IGARSS 99; Hamburg; Germany
    Format: text
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  • 2
    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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  • 3
    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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  • 4
    Publication Date: 2019-07-17
    Description: The role of aerosol forcing remains one of the largest uncertainties in estimating man's impact on the global climate system. One school of thought suggests that remote sensing by satellite sensors will provide the data necessary to narrow these uncertainties. Much effort has gone into the development of new satellite sensors specifically designed to retrieve aerosol loading and some information about the sizes of the aerosols. These next generation remote sensing instruments (EOS-MODIS, EOS-MISR, POLDER, ATSR) will provide unprecedented accuracy in the retrieval of aerosol loading. Although the new generation of sensors has excellent accuracy compared to the heritage instruments of the past, they still have measurement limitations. In clean, pristine regions the absolute magnitude of the uncertainty in the aerosol retrieval becomes comparable in magnitude to the signal itself. If much of the aerosol forcing is occurring at very low magnitudes of aerosol concentrations, satellite remote sensing will miss it. This study attempts to quantify remote sensing limitations due to the accuracy limits of the retrieval algorithms. We use a combination of numerical aerosol transport models, ground-based AERONET data and ISCCP cloud climatology to determine how much of the forcing occurs in regions too clean to determine from satellite retrievals. This study is not an intercomparison of global transport models. It is not an estimation of global aerosol forcing. This study is an exercise to determine whether satellite remote sensing can live up to our high expectations. The results show that while remote sensing will be able to measure a majority of the direct forcing, it will miss roughly half of the indirect forcing.
    Keywords: Earth Resources and Remote Sensing
    Type: Dec 13, 1999 - Dec 17, 1999; San Francisco, CA; United States
    Format: text
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