Land Surface Climate in the Regional Arctic System Model

• Published in: Journal of climate Vol. 29; no. 18; pp. 6543 - 6562
• Main Authors: Hamman, Joseph, Nijssen, Bart, Brunke, Michael, Cassano, John, Craig, Anthony, DuVivier, Alice, Hughes, Mimi, Lettenmaier, Dennis P., Maslowski, Wieslaw, Osinski, Robert, Roberts, Andrew, Zeng, Xubin
• Format: Journal Article
• Language: English
• Published: Boston American Meteorological Society 15.09.2016
• Subjects: Air temperature; Annual variations; Arctic zone; Atmosphere; Bias; Boreal ecosystems; Climate; Climate change; Climatology; Cold season; Datasets; Energy; Energy balance; Evapotranspiration; Fluxes; Heat; Hydrologic cycle; Hydrological cycle; Hydrology; Ice; Ice environments; Infiltration capacity; Infrastructure; Land surface models; Latent heat; Modelling; Precipitation; R&D; Research & development; Runoff; Satellite observation; Satellites; Simulation; Snow; Snow cover; Spacecraft recovery; Statistical methods; Stream flow; Surface temperature; Surface-air temperature relationships; Taiga; Tundra; Turbulent fluxes; Variables; Arctic Ocean; Arctic region; PN, Arctic
• ISSN: 0894-8755; 1520-0442
• DOI: 10.1175/JCLI-D-15-0415.1

The 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°C; however, in the cold seasons there are local biases that exceed 6°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.