Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 875–885, 2020
Earth Syst. Sci. Data, 12, 875–885, 2020

Data description paper 20 Apr 2020

Data description paper | 20 Apr 2020

Sval_Imp: a gridded forcing dataset for climate change impact research on Svalbard

Thomas Vikhamar Schuler and Torbjørn Ims Østby

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Cited articles

Aalstad, K., Westermann, S., Schuler, T. V., Boike, J., and Bertino, L.: Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites, The Cryosphere, 12, 247–270,, 2018. a
Aas, K. S., Dunse, T., Collier, E., Schuler, T. V., Berntsen, T. K., Kohler, J., and Luks, B.: The climatic mass balance of Svalbard glaciers: a 10-year simulation with a coupled atmosphere–glacier mass balance model, The Cryosphere, 10, 1089–1104,, 2016. a, b
Barstad, I. and Smith, R. B.: Evaluation of an Orographic Precipitation Model, J. Hydrometeorol., 6, 85–99,, 2005. a, b
Bogren, W. S., Burkhart, J. F., and Kylling, A.: Tilt error in cryospheric surface radiation measurements at high latitudes: a model study, The Cryosphere, 10, 613–622,, 2016. a
Botnen, S. S.: Biodiversity in the dark: root-associated fungi in the Arctic, PhD-thesis, Department of Biosciences, University of Oslo, Norway, 2020. a
Short summary
Atmospheric variables needed to force terrestrial process models (permafrost, glacier mass balance, seasonal snow, surface energy balance) have been downscaled from the ERA-40 and ERA-Interim reanalyses using methodology described in the accompanying paper. The gridded dataset has a horizontal resolution of 1 km and covers the entire Svalbard archipelago. The data have a temporal resolution of 6 h and cover the entire ERA-40 period (1957–2002) and the ERA-Interim period (1979–2017).