Articles | Volume 14, issue 12
https://doi.org/10.5194/tc-14-4719-2020
https://doi.org/10.5194/tc-14-4719-2020
Research article
 | 
23 Dec 2020
Research article |  | 23 Dec 2020

Scoring Antarctic surface mass balance in climate models to refine future projections

Tessa Gorte, Jan T. M. Lenaerts, and Brooke Medley

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Cited articles

Agosta, C., Fettweis, X., and Datta, R.: Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance, The Cryosphere, 9, 2311–2321, https://doi.org/10.5194/tc-9-2311-2015, 2015. a
Agosta, C., Amory, C., Kittel, C., Orsi, A., Favier, V., Gallée, H., van den Broeke, M. R., Lenaerts, J. T. M., van Wessem, J. M., van de Berg, W. J., and Fettweis, X.: Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes, The Cryosphere, 13, 281–296, https://doi.org/10.5194/tc-13-281-2019, 2019. a, b, c
Barthel, A., Agosta, C., Little, C. M., Hattermann, T., Jourdain, N. C., Goelzer, H., Nowicki, S., Seroussi, H., Straneo, F., and Bracegirdle, T. J.: CMIP5 model selection for ISMIP6 ice sheet model forcing: Greenland and Antarctica, The Cryosphere, 14, 855–879, https://doi.org/10.5194/tc-14-855-2020, 2020. a, b, c, d
Beaumet, J., Déqué, M., Krinner, G., Agosta, C., and Alias, A.: Effect of prescribed sea surface conditions on the modern and future Antarctic surface climate simulated by the ARPEGE atmosphere general circulation model, The Cryosphere, 13, 3023–3043, https://doi.org/10.5194/tc-13-3023-2019, 2019. a
Bromwich, D. H., Nicolas, J. P., and Monaghan, A. J.: An Assessment of precipitation changes over antarctica and the southern ocean since 1989 in contemporary global reanalyses, J. Climate, 24, 4189–4209, https://doi.org/10.1175/2011JCLI4074.1, 2011. a
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Short summary
In this paper, we analyze several spatial and temporal criteria to assess the ability of models in the CMIP5 and CMIP6 frameworks to recreate past Antarctic surface mass balance. We then compared a subset of the top performing models to all remaining models to refine future surface mass balance predictions under different forcing scenarios. We found that the top performing models predict lower surface mass balance by 2100, indicating less buffering than otherwise expected of sea level rise.