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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

    References

    https://doi.org/10.1029/2017ms001231

    Dates

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

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    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)
    Maintainer
    Identifier https://doi.org/10.23719/1422888
    Data Last Modified 2018-02-28
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 15763618-72fe-441a-9193-3403908278fd
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    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 https://doi.org/10.1029/2017ms001231
    Source Datajson Identifier True
    Source Hash ad81c25032cd3100067a69ff213037750fbd53d6
    Source Schema Version 1.1

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