HR: 0800h
AN: H31A-0128    [Abstracts]
TI: Satellite Based Mapping of Land Surface ET using MODIS and Alternate Surface Meteorological Inputs from AMSR-E, Reanalysis, and Surface Weather Stations
AU: Mu, Q
EM: qiaozhen@ntsg.umt.edu
AF: NTSG/The University of Montana, Numerical Terradynamic Simulation Group (NTSG) College of Forestry & Conservation The University of Montana 32 Campus Drive, Missoula, MT 59812, United States
AU: Jones, L A
EM: lucas@ntsg.umt.edu
AF: NTSG/The University of Montana, Numerical Terradynamic Simulation Group (NTSG) College of Forestry & Conservation The University of Montana 32 Campus Drive, Missoula, MT 59812, United States
AU: Jones, L A
EM: lucas@ntsg.umt.edu
AF: FLBS/The University of Montana, Flathead Lake Biological Station Division of Biological Sciences The University of Montana 32125 Bio Station Lane, Polson, MT 59860-9659, United States
AU: * Kimball, J S
EM: johnk@ntsg.umt.edu
AF: NTSG/The University of Montana, Numerical Terradynamic Simulation Group (NTSG) College of Forestry & Conservation The University of Montana 32 Campus Drive, Missoula, MT 59812, United States
AU: * Kimball, J S
EM: johnk@ntsg.umt.edu
AF: FLBS/The University of Montana, Flathead Lake Biological Station Division of Biological Sciences The University of Montana 32125 Bio Station Lane, Polson, MT 59860-9659, United States
AU: Running, S W
EM: swr@ntsg.umt.edu
AF: NTSG/The University of Montana, Numerical Terradynamic Simulation Group (NTSG) College of Forestry & Conservation The University of Montana 32 Campus Drive, Missoula, MT 59812, United States
AB: Regional evapotranspiration (ET), including water loss from plant transpiration and soil evaporation, is essential to understanding interactions between land-atmosphere surface energy and water balances. Vapor pressure deficit (VPD) and surface air temperature are key variables for stomatal conductance and ET estimation. We developed an algorithm to estimate ET using a modified Penman-Monteith approach driven by MODIS derived vegetation data and daily surface meteorological inputs including net incoming solar radiation, air temperature and VPD. The model was applied using alternate daily meteorological inputs, including: 1) site level weather station observations, 2) VPD and air temperature derived from the Advanced Microwave Scanning Radiometer (AMSR-E) on the EOS Aqua satellite, and 3) Global Modeling and Assimilation Office (GMAO) reanalysis based surface temperature, humidity and solar radiation data. Model performance was assessed across a North American boreal-Arctic transect (>50o N) of six eddy covariance flux towers representing boreal grassland, boreal forest and tundra biomes. Model results derived from the three meteorology data sets agree well with observed tower fluxes (r>0.6; P<0.00001; RMSE<30W/m2) and capture spatial patterns and seasonal variability in ET. The MODIS-AMSR-E derived ET results also show comparable accuracy to ET results derived from the reanalysis meteorology, while ET estimation error was generally more a function of algorithm parameterization than differences in meteorology drivers. Our results indicate significant potential for regional mapping and monitoring daily land surface evaporation using synergistic information from satellite optical-IR and microwave remote sensing.
DE: 1813 Eco-hydrology
DE: 1814 Energy budgets
DE: 1818 Evapotranspiration
DE: 1855 Remote sensing (1640)
DE: 1878 Water/energy interactions (0495)
SC: Hydrology [H]
MN: 2007 Fall Meeting