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    Development of the Regional Arctic System Model (RASM): Near-Surface Atmospheric Climate Sensitivity

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    jcli-d-15-0775.1.pdf
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    Author
    Cassano, John J.
    DuVivier, Alice
    Roberts, Andrew
    Hughes, Mimi
    Seefeldt, Mark
    Brunke, Michael
    Craig, Anthony
    Fisel, Brandon
    Gutowski, William
    Hamman, Joseph
    Higgins, Matthew
    Maslowski, Wieslaw
    Nijssen, Bart
    Osinski, Robert
    Zeng, Xubin
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    Affiliation
    Univ Arizona, Dept Atmospher Sci
    Issue Date
    2017-08
    
    Metadata
    Show full item record
    Publisher
    AMER METEOROLOGICAL SOC
    Citation
    Development of the Regional Arctic System Model (RASM): Near-Surface Atmospheric Climate Sensitivity 2017, 30 (15):5729 Journal of Climate
    Journal
    Journal of Climate
    Rights
    © 2017 American Meteorological Society.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    The near-surface climate, including the atmosphere, ocean, sea ice, and land state and fluxes, in the initial version of the Regional Arctic System Model (RASM) are presented. The sensitivity of the RASM near-surface climate to changes in atmosphere, ocean, and sea ice parameters and physics is evaluated in four simulations. The near-surface atmospheric circulation is well simulated in all four RASM simulations but biases in surface temperature are caused by biases in downward surface radiative fluxes. Errors in radiative fluxes are due to biases in simulated clouds with different versions of RASM simulating either too much or too little cloud radiative impact over open ocean regions and all versions simulating too little cloud radiative impact over land areas. Cold surface temperature biases in the central Arctic in winter are likely due to too few or too radiatively thin clouds. The precipitation simulated by RASM is sensitive to changes in evaporation that were linked to sea surface temperature biases. Future work will explore changes in model microphysics aimed at minimizing the cloud and radiation biases identified in this work.
    Note
    6 month embargo; Published Online: 29 June 2017
    ISSN
    0894-8755
    1520-0442
    DOI
    10.1175/JCLI-D-15-0775.1
    Version
    Final published version
    Sponsors
    United States Department of Energy [DE-FG02-07ER64462, DE-SC0006178, DE-FG02-07ER64460, DE-SC0006856, DE-FG02-07ER64463, DE-SC0006693]; National Science Foundation [PLR-1107788, PLR-1417818]
    Additional Links
    http://journals.ametsoc.org/doi/10.1175/JCLI-D-15-0775.1
    ae974a485f413a2113503eed53cd6c53
    10.1175/JCLI-D-15-0775.1
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