Articles | Volume 12, issue 3
The Cryosphere, 12, 1091–1102, 2018
https://doi.org/10.5194/tc-12-1091-2018
The Cryosphere, 12, 1091–1102, 2018
https://doi.org/10.5194/tc-12-1091-2018

Research article 26 Mar 2018

Research article | 26 Mar 2018

Extreme temperature events on Greenland in observations and the MAR regional climate model

Amber A. Leeson et al.

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Cited articles

Braithwaite, R. J.: Positive degree-day factors for ablation on the greenland ice-sheet studied by energy-balance modeling, J. Glaciol., 41, 153–160, 1995. 
Church, J. A., Clark, P. U., Cazenave, A., Gregory, J. M., Jevrejeva, S., Levermann, A., Merrifield, M. A., Milne, G. A., Nerem, R. S., Nunn, P. D., Payne, A. J., Pfeffer, W. T., Stammer, D., and Unnikrishnan, A. S.: Sea level change, in: Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge United Kingdom and New York, NY, USA, Cambridge University Press, 2013. 
Coles, S.: An introduction to statistical modeling of extreme values, Springer-Verlag, London, vol. 208, https://doi.org/10.1007/978-1-4471-3675-0, 2001. 
Ettema, J., van den Broeke, M. R., van Meijgaard, E., and van de Berg, W. J.: Climate of the Greenland ice sheet using a high-resolution climate model – Part 2: Near-surface climate and energy balance, The Cryosphere, 4, 529–544, https://doi.org/10.5194/tc-4-529-2010, 2010. 
Fettweis, X.: Reconstruction of the 1979–2006 Greenland ice sheet surface mass balance using the regional climate model MAR, The Cryosphere, 1, 21–40, https://doi.org/10.5194/tc-1-21-2007, 2007. 
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Future melting of the Greenland Ice Sheet is predicted using regional climate models (RCMs). Here, we assess the ability of the MAR RCM to reproduce observed extreme temperature events and the melt energy produced during these times at 14 locations. We find that MAR underestimates temperatures by >0.5 °C during extreme events, which leads to an underestimate in melt energy by up to 41 %. This is potentially an artefact of the data used to drive the MAR simulation and needs to be corrected for.