HR: 08:05h
AN: H41B-01 INVITED     [PDF]
TI: A Multi-scale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales
AU: * Anderson, M C
EM: mcanders@facstaff.wisc.edu
AF: University of Wisconsin-Madison, 1525 Observatory Drive, Madison, WI 53706 United States
AU: Kustas, W P
EM: bkustas@hydrolab.arsusda.gov
AF: USDA-ARS Hydrology and Remote Sensing Laboratory, Room 104, Bldg 007, BARC-WEST, Beltsville, MD 20705 United States
AU: Norman, J M
EM: jmnorman@facstaff.wisc.edu
AF: University of Wisconsin-Madison, 1525 Observatory Drive, Madison, WI 53706 United States
AB: Disaggregation of regional-scale (10$^{3}$ m) flux estimates to micrometeorological scales (10$^{1}$-10$^{2}$ m) facilitates direct comparison between land-surface models and ground-based observations. Inversely, it also provides a means for upscaling flux tower information into a regional context. The utility of the Atmosphere Land-Exchange Inverse (ALEXI) model and associated disaggregation technique (DisALEXI) in effecting regional to local downscaling is demonstrated in applications to thermal imagery collected with the GOES (5-km resolution) and Landsat (60-m) satellites. A related algorithm (DisTrad) sharpens thermal imagery to resolutions associated with visible/near infrared bands (30 m on Landsat), extending the range in scales achievable through disaggregation. The accuracy and utility of this combined multi-scale modeling system is evaluated quantitatively in comparison with ground-based eddy-correlation flux measurements, and qualitatively in terms of enhanced information content that emerges at high resolution where flux patterns can be identified with recognizable surface phenomena.
DE: 1818 Evapotranspiration
DE: 3322 Land/atmosphere interactions
DE: 3360 Remote sensing
SC: Hydrology [H]
MN: 2003 Fall Meeting