HR: 10:50h
AN: H21H-03    [PDF]
TI: Estimation of Net Radiation using MODIS-Terra Data
AU: * Bisht, G
EM: bishtg@email.uc.edu
AF: University of Cincinnati, Department of Civil and Environmental Engineering 764 Baldwin Hall University of Cincinnati PO Box 210071, Cincinnati, OH 45221-0071 United States
AU: Venturini, V
EM: venturva@email.uc.edu
AF: University of Cincinnati, Department of Civil and Environmental Engineering 764 Baldwin Hall University of Cincinnati PO Box 210071, Cincinnati, OH 45221-0071 United States
AU: Islam, S
EM: islams@email.uc.edu
AF: University of Cincinnati, Department of Civil and Environmental Engineering 764 Baldwin Hall University of Cincinnati PO Box 210071, Cincinnati, OH 45221-0071 United States
AU: Jiang, L
EM: Le.Jiang@noaa.gov
AF: NOAA Science Center, IMSG Science Team at NOAA/NESDIS NOAA Science Center 5200 Auth Rd., Rm 810, Station 8216, Camp Springs, MD 20746 United States
AB: Estimation of net radiation is critical for satellite based evapotranspiration calculations. A simple algorithm is developed to estimate net radiation from MODIS (Moderate Resolution Imaging Spectroradiometer) data. This method does not need complex atmospheric transmission codes like MODTRAN and it uses minimal ground based observations. Inputs for the algorithm are the MODIS calibration, land and atmosphere data products. Land surface temperature, emissivity and the Geolocation data set are provided used at a one kilometer spatial resolution while atmospheric profile product is used at a five kilometer resolution. Land surface emissivity is calculated by averaging the MODIS band emissivity and air emissivity is estimated using a parameterization that involves screen level temperature and pressure. Downward shortwave flux is estimated using a parameterization that accounts for humidity and solar zenith angle. We will test the validity of this algorithm over South Florida. The strength of the proposed net radiation estimates should be evaluated not only by how closely they reproduce surface based point observations but by their ability to provide a spatially consistent and distributed net radiation map over a large heterogeneous domain.
DE: 1818 Evapotranspiration
SC: Hydrology [H]
MN: 2003 Fall Meeting