Estimating long-term surface hydrological components by coupling remote sensing observation with surface flux model.

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A model framework for parameterized subgrid-scale surface fluxes (PASS) has been applied to use satellite data, models, and routine surface observations to infer root-zone available moisture content and evapotranspiration rate with moderate spatial resolution within Walnut River Watershed in Kansas. Biweekly composite normalized difference vegetative index (NDVI) data are derived from observations by National Oceanic and Atmospheric Administration (NOAA) satellites. Local surface observations provide data on downwelling solar irradiance, air temperature, relative humidity, and wind speed. Surface parameters including roughness length, albedo, surface water conductance, and the ratio of soil heat flux to net radiation are estimated; pixel-specific near-surface meteorological ... continued below

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10 pages

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Song, J. & Wesely, M. L. May 2, 2002.

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Description

A model framework for parameterized subgrid-scale surface fluxes (PASS) has been applied to use satellite data, models, and routine surface observations to infer root-zone available moisture content and evapotranspiration rate with moderate spatial resolution within Walnut River Watershed in Kansas. Biweekly composite normalized difference vegetative index (NDVI) data are derived from observations by National Oceanic and Atmospheric Administration (NOAA) satellites. Local surface observations provide data on downwelling solar irradiance, air temperature, relative humidity, and wind speed. Surface parameters including roughness length, albedo, surface water conductance, and the ratio of soil heat flux to net radiation are estimated; pixel-specific near-surface meteorological conditions such as air temperature, vapor pressure, and wind speed are adjusted according to local surface forcing. The PASS modeling system makes effective use of satellite data and can be run for large areas for which flux data do not exist and surface meteorological data are available from only a limited number of ground stations. The long-term surface hydrological budget is evaluated using radar-derived precipitation estimates, surface meteorological observations, and satellite data. The modeled hydrological components in the Walnut River Watershed compare well with stream gauge data and observed surface fluxes during 1999.

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10 pages

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  • Geoinformatics 2002, Nanjing (CN), 06/01/2002--06/03/2002

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  • Report No.: ANL/ER/CP-107556
  • Grant Number: W-31-109-ENG-38
  • Office of Scientific & Technical Information Report Number: 795809
  • Archival Resource Key: ark:/67531/metadc742128

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  • May 2, 2002

Added to The UNT Digital Library

  • Oct. 19, 2015, 7:39 p.m.

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  • March 24, 2016, 9:11 p.m.

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Song, J. & Wesely, M. L. Estimating long-term surface hydrological components by coupling remote sensing observation with surface flux model., article, May 2, 2002; Illinois. (digital.library.unt.edu/ark:/67531/metadc742128/: accessed August 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.