Dry Dep Comp_Wu et al_2018

Datasets present results of comparisons of five commonly dry deposition algorithms for ozone and sulfur dioxide, including diurnal patterns in deposition velocities, leaf-level processes such as stomatal conductance, and sensitivity to use of modeled versus measured meteorology.

This dataset is associated with the following publication:
Wu, Z., D. Schwede, R. Vet, J. Walker, M. Shaw, R. Staebler, and L. Zhang. Evaluation and Intercomparison of Five North American Dry Deposition Algorithms at a Mixed Forest Site. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 10(7): 1571-1586, (2018).