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United States Department of Agriculture

Agricultural Research Service

Title: A Land-Atmosphere Modeling System Using High/low Temporal and Spatial Resolution Remote Sensing Data for Routine Multi-Scale Flux Estimation

Authors
item Kustas, William
item Anderson, Martha - UNIV. OF WI
item Norman, John - UNIV. OF WI

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: August 20, 2004
Publication Date: August 20, 2004
Citation: Kustas, W.P., Anderson, M.C.. Norman, J.H. 2004. A land-atmosphere modeling system using high/low temporal and spatial resolution remote sensing data for routine multi-scale flux estimation [abstract]. EOS Transactions, American Geophysical Union Western Pacific Geophysics Supplement. 85(28). Abstract H22A-01.

Technical Abstract: A land-atmosphere modeling system has been developed which utilizes geostationary satellite observations for estimating regional fluxes routinely and can use high resolution satellite data from Landsat and ASTER for estimating surface fluxes at micrometeorological scales. The land surface scheme for estimating regional fluxes, called the Atmosphere-Land-EXchange-Inverse (ALEXI) model, and the algorithm for disaggregating the regional output using the high resolution satellite data (DisALEXI) are coupled to an atmospheric boundary layer model, requiring minimal ancillary inputs. With the opportunity for morning and afternoon observations from Terra-MODIS and Aqua-MODIS and a thermal sharpening technique recently developed, this modeling system could provide routine flux estimates at the MODIS visible/near-IR resolution (250 m) for many regions of the globe. A description of the modeling system and examples of its application with data from large scale field experiments will be presented.

Last Modified: 12/21/2014
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