Sensitivity of high-resolution Arctic regional climate model projections to different implementations of land surface processes

• Published in: Climatic Change
• Main Authors: Matthes, Heidrun, Rinke, Annette, Miller, Paul, Kuhry, Peter, Dethloff, Klaus, Wolf, Annett
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer 2012
• Subjects: Physical Geography; Arctic; Climate change
• Online Access: https://lup.lub.lu.se/record/2403425; https://doi.org/10.1007/s10584-011-0138-1

This paper discusses the effects of vegetation cover and soil parameters on the climate change projections of a regional climate model over the Arctic domain. Different setups of the land surface model of the regional climate model HIRHAM were realized to analyze differences in the atmospheric circulation caused by (1) the incorporation of freezing/thawing of soil moisture, (2) the consideration of top organic soil horizons typical for the Arctic and (3) a vegetation shift due to a changing climate. The largest direct thermal effect in 2 m air temperature was found for the vegetation shift, which ranged between -1.5 K and 3 K. The inclusion of a freeze/thaw scheme for soil moisture shows equally large sensitivities in spring over cool areas with high soil moisture content. Although the sensitivity signal in 2 m air temperature for the experiments differs in amplitude, all experiments show changes in mean sea level pressure (mslp) and geopotential height (z) throughout the troposphere of similar magnitude (mslp: -2 hPa to 1.5 hPa, z: -15 gpm to 5 gpm). This points to the importance of dynamical feedbacks within the atmosphere-land system. Land and soil processes have a distinct remote influence on large scale atmospheric circulation patterns in addition to their direct, regional effects. The assessment of induced uncertainties due to the changed implementations of land surface processes discussed in this study demonstrates the need to take all those processes for future Arctic climate projections into account, and demonstrates a clear need to include similar implementations in regional and global climate models.