HR: 14:10h
AN: B43D-03    [Abstracts]
TI: Radiation Budgets in Support of LBA Hydrological Modeling
AU: * Pinker, R T
EM: pinker@atmos.umd.edu
AF: Department of Meteorology, University of Maryland, College Park, MD 20742
AU: Zhang, B
EM: zhang@atmos.umd.edu
AF: Department of Meteorology, University of Maryland, College Park, MD 20742
AU: Kato, H
EM: hkato@atmos.umd.edu
AF: Department of Meteorology, University of Maryland, College Park, MD 20742
AU: Ceballos, J C
EM: ceballos@cptec.inpe.br
AF: Grupo de Aplicadoes de Satelites Meteorologicos, CPTEC-INPE, Cachoeira Paulista, 12630-970
AU: Pereira, E B
EM: enio@dge.inpe.br
AF: INPE-C, Postal 515, S. J. Campos, 515 12201-
AB: To improve the understanding of the hydrological cycle in the Amazon region, information on radiative fluxes is needed for improving parameterization of surface processes and for modeling and predicting the surface hydrological and energy budgets. This on time scales from diurnal to interannual, and on spatial scales as required by climate, meso-scale, and local scale models. In response to such needs, the following steps were taken: 1. About twenty years of historical satellite observations from PATHFINDER data were used to infer radiative fluxes at 2.5-degree resolution on global scale. The PATHFINDER data sets merge observations from both geostationary and polar orbiting satellites. 2. About ten years of GOES and METEOSAT observations sampled at 30 km were used to infer radiative fluxes at 0.5 degree resolution over North and South America, using optimal interpolation techniques to merge the observations. 3. Three years of GOES pixel level data spanning the intensive observational period of LBA were used to obtain radiative fluxes for the Amazon Basin at a 1/8-degree resolution. New methodologies were developed for implementing the inference schemes at this scale and for incorporating updated information on aerosols. All of the above products provide information on the total shortwave radiative fluxes, Photosynthetically Active Radiation (PAR), Near-Infra-Red (NIR) radiation (upwelling and downwelling), at both boundaries of the atmosphere. The time scale for the first two products is 3 hourly instantaneous and hourly, daily and monthly averaged; the high spatial resolution product is available at hourly time scale. In the presentation, described will be methodologies used to infer such fluxes; available products; and their evaluation against independent satellite estimates as well as against ground observations. Examples will be given how this information is being used to address scientific issues.
DE: 3360 Remote sensing
DE: 0305 Aerosols and particles (0345, 4801)
DE: 0315 Biosphere/atmosphere interactions
DE: 0399 General or miscellaneous
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting