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Dry Dep Comp_Wu et al_2018

Metadata Updated: November 12, 2020

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).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources



Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Data Last Modified 2018-02-28
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id 15763618-72fe-441a-9193-3403908278fd
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents
Source Datajson Identifier True
Source Hash ad81c25032cd3100067a69ff213037750fbd53d6
Source Schema Version 1.1

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