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dc.contributor.authorHamman, Joseph
dc.contributor.authorNijssen, Bart
dc.contributor.authorBrunke, Michael
dc.contributor.authorCassano, John
dc.contributor.authorCraig, Anthony
dc.contributor.authorDuVivier, Alice
dc.contributor.authorHughes, Mimi
dc.contributor.authorLettenmaier, Dennis P.
dc.contributor.authorMaslowski, Wieslaw
dc.contributor.authorOsinski, Robert
dc.contributor.authorRoberts, Andrew
dc.contributor.authorZeng, Xubin
dc.date.accessioned2016-12-15T23:45:25Z
dc.date.available2016-12-15T23:45:25Z
dc.date.issued2016-09
dc.identifier.citationLand Surface Climate in the Regional Arctic System Model 2016, 29 (18):6543 Journal of Climateen
dc.identifier.issn0894-8755
dc.identifier.issn1520-0442
dc.identifier.doi10.1175/JCLI-D-15-0415.1
dc.identifier.urihttp://hdl.handle.net/10150/621720
dc.description.abstractThe Regional Arctic System Model (RASM) is a fully coupled, regional Earth system model applied over the pan-Arctic domain. This paper discusses the implementation of the Variable Infiltration Capacity land surface model (VIC) in RASM and evaluates the ability of RASM, version 1.0, to capture key features of the land surface climate and hydrologic cycle for the period 1979-2014 in comparison with uncoupled VIC simulations, reanalysis datasets, satellite measurements, and in situ observations. RASM reproduces the dominant features of the land surface climatology in the Arctic, such as the amount and regional distribution of precipitation, the partitioning of precipitation between runoff and evapotranspiration, the effects of snow on the water and energy balance, and the differences in turbulent fluxes between the tundra and taiga biomes. Surface air temperature biases in RASM, compared to reanalysis datasets ERA-Interim and MERRA, are generally less than 2 degrees C; however, in the cold seasons there are local biases that exceed 6 degrees C. Compared to satellite observations, RASM captures the annual cycle of snow-covered area well, although melt progresses about two weeks faster than observations in the late spring at high latitudes. With respect to derived fluxes, such as latent heat or runoff, RASM is shown to have similar performance statistics as ERA-Interim while differing substantially from MERRA, which consistently overestimates the evaporative flux across the Arctic region.
dc.description.sponsorshipU.S. Department of Energy (DOE) [DE-FG02-07ER64460, DE-SC0006856, DE-SC0006178]; DODen
dc.language.isoenen
dc.publisherAMER METEOROLOGICAL SOCen
dc.relation.urlhttp://journals.ametsoc.org/doi/10.1175/JCLI-D-15-0415.1en
dc.rights© 2016 American Meteorological Society.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleLand Surface Climate in the Regional Arctic System Modelen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Atmospher Scien
dc.identifier.journalJournal of Climateen
dc.description.notePublished Online: 26 August 2016; 6 Month Embargo.en
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.dateFOA2017-02-27T00:00:00Z
html.description.abstractThe Regional Arctic System Model (RASM) is a fully coupled, regional Earth system model applied over the pan-Arctic domain. This paper discusses the implementation of the Variable Infiltration Capacity land surface model (VIC) in RASM and evaluates the ability of RASM, version 1.0, to capture key features of the land surface climate and hydrologic cycle for the period 1979-2014 in comparison with uncoupled VIC simulations, reanalysis datasets, satellite measurements, and in situ observations. RASM reproduces the dominant features of the land surface climatology in the Arctic, such as the amount and regional distribution of precipitation, the partitioning of precipitation between runoff and evapotranspiration, the effects of snow on the water and energy balance, and the differences in turbulent fluxes between the tundra and taiga biomes. Surface air temperature biases in RASM, compared to reanalysis datasets ERA-Interim and MERRA, are generally less than 2 degrees C; however, in the cold seasons there are local biases that exceed 6 degrees C. Compared to satellite observations, RASM captures the annual cycle of snow-covered area well, although melt progresses about two weeks faster than observations in the late spring at high latitudes. With respect to derived fluxes, such as latent heat or runoff, RASM is shown to have similar performance statistics as ERA-Interim while differing substantially from MERRA, which consistently overestimates the evaporative flux across the Arctic region.


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