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Summary
The proposed work combines unprecedented observational
coverage of surface conditions and fluxes with development
of a coupled land-atmosphere model and remotely sensed observations
to study spatial variation of fluxes of carbon dioxide, water
vapor and other quantities over complex terrain. The observational
network consists of a micro-network embedded within a mesoscale
network, where a method is proposed to correct for substantial
underestimation of eddy correlation fluxes in heterogeneous
terrain.
Using data from the detailed field program, the Soil Plant
Atmosphere model (SPA) model will be generalized to include
formulation of respiration. The improved SPA model of the
carbon and water vapor cycles will be coupled to the MM5 regional
climate model to examine spatial variability of carbon dioxide
and water vapor fluxes and the behavior of fluxes averaged
over a region. The regional model will be constrained with
ground surface and canopy temperatures derived from a combination
of MODIS and ASTER data, gaining from the better temporal
resolution of MODIS and spatial resolution of ASTER. The dense
observational network within 1 km (micro-net), and the observation
network over a 30 km climatic gradient will be used to evaluate
and improve the coupled modeling system.
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