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dc.contributor.authorCassano, John J.
dc.contributor.authorDuVivier, Alice
dc.contributor.authorRoberts, Andrew
dc.contributor.authorHughes, Mimi
dc.contributor.authorSeefeldt, Mark
dc.contributor.authorBrunke, Michael
dc.contributor.authorCraig, Anthony
dc.contributor.authorFisel, Brandon
dc.contributor.authorGutowski, William
dc.contributor.authorHamman, Joseph
dc.contributor.authorHiggins, Matthew
dc.contributor.authorMaslowski, Wieslaw
dc.contributor.authorNijssen, Bart
dc.contributor.authorOsinski, Robert
dc.contributor.authorZeng, Xubin
dc.date.accessioned2017-08-09T18:46:39Z
dc.date.available2017-08-09T18:46:39Z
dc.date.issued2017-08
dc.identifier.citationDevelopment of the Regional Arctic System Model (RASM): Near-Surface Atmospheric Climate Sensitivity 2017, 30 (15):5729 Journal of Climateen
dc.identifier.issn0894-8755
dc.identifier.issn1520-0442
dc.identifier.doi10.1175/JCLI-D-15-0775.1
dc.identifier.urihttp://hdl.handle.net/10150/625161
dc.description.abstractThe 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.
dc.description.sponsorshipUnited 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]en
dc.language.isoenen
dc.publisherAMER METEOROLOGICAL SOCen
dc.relation.urlhttp://journals.ametsoc.org/doi/10.1175/JCLI-D-15-0775.1en
dc.rights© 2017 American Meteorological Society.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleDevelopment of the Regional Arctic System Model (RASM): Near-Surface Atmospheric Climate Sensitivityen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Atmospher Scien
dc.identifier.journalJournal of Climateen
dc.description.note6 month embargo; Published Online: 29 June 2017en
dc.description.collectioninformationThis 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.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2017-12-30T00:00:00Z
html.description.abstractThe 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.


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