Using the measured concentration profiles and within-canopy flow fields, we estimated the vertical source-sink flux profiles using three inverse approaches: a Eulerian high-order closure model (EUL), a Lagrangian localized near-field (LNF) model, and a new full Lagrangian stochastic model (LSM). The models were run to estimate sensible heat flux profiles from multilevel temperature measurements, which were evaluated using within- and above-canopy eddy covariance sensible heat flux measurements. Despite fundamental differences in the modeling framework and assumptions, all three models reproduced the shape and the magnitude of the measured sensible heat flux profile reasonably well, which is an important step in developing confidence in calculated flux profiles of reactive compounds.
Models predicted positive (upward) NH3 fluxes near the forest floor, indicating emissions from litter or soil. The modeled above-canopy flux of NH3 tended to be negative (downward), indicating that the forest was a net sink of NH3. The modeled flux profiles of HNO3 and SO2 presented a monotonically decreasing trend with most uptake occurred in the upper canopy. Significant differences in the estimated flux profiles can be found between different models and for different timescale inputs. This presentation examines aspects of model validation against measured sensible heat fluxes, model sensitivities to turbulence time scale and other model inputs, and features of the flux profiles predicted for reactive compounds. The knowledge gained in this study will benefit the development of soil-vegetation-atmosphere models capable of partitioning canopy-scale deposition of nitrogen and sulfur to specific ecosystem compartments.