Abstract
Abstract A Lagrangian multi‐layer model of the turbulent transport of scalars within an Amazon forest canopy is developed. An iterative optimization procedure enables one to retreive equilibrium conditions between sources and concentrations and to obtain the convergence to the values of the heat and latent heat fluxes. The input variables of the model are wind, air temperature and humidity above the canopy, and the canopy temperature and stomatal resistance. An application is proposed using surface measurements of the leaf stomatal resistance and Nimbus‐7 Scanning Multi‐channel Microwave Radiometer (SMMR) estimates of the canopy temperature. The fluxes over the Amazon forest canopy are simulated for the wet season (April‐May) and the dry season (July‐August) of 1985 using this method. They match reasonably well with surface measurements but a seasonal bias exists, probably due to a seasonal cycle of the leaf area index.
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