Articles | Volume 13, issue 2
Earth Syst. Dynam., 13, 851–877, 2022
https://doi.org/10.5194/esd-13-851-2022
Earth Syst. Dynam., 13, 851–877, 2022
https://doi.org/10.5194/esd-13-851-2022
Research article
28 Apr 2022
Research article | 28 Apr 2022

MESMER-M: an Earth system model emulator for spatially resolved monthly temperature

Shruti Nath et al.

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Cited articles

Alexeeff, S. E., Nychka, D., Sain, S. R., and Tebaldi, C.: Emulating mean patterns and variability of temperature across and within scenarios in anthropogenic climate change experiments, Climatic Change, 146, 319–333, https://doi.org/10.1007/s10584-016-1809-8, 2018. a, b
Allen, R. J. and Zender, C. S.: Forcing of the Arctic Oscillation by Eurasian snow cover, J. Climate, 24, 6528–6539, https://doi.org/10.1175/2011JCLI4157.1, 2011. a
Arnold, L.: Hasselmann's program revisited: the analysis of stochasticity in deterministic climate models, in: Stochastic Climate Models, edited by: Imkeller, P. and von Storch, J.-S., Birkhäuser Basel, Basel, 141–157, https://doi.org/10.1007/978-3-0348-8287-3_5, 2001. a
Benjamini, Y. and Hochberg, Y.: benjamini_hochberg1995, J. Roy. Stat. Soc. B, 57, 289–300, 1995. a, b
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Uncertainty within climate model projections on inter-annual timescales is largely affected by natural climate variability. Emulators are valuable tools for approximating climate model runs, allowing for easy exploration of such uncertainty spaces. This study takes a first step at building a spatially resolved, monthly temperature emulator that takes local yearly temperatures as the sole input, thus providing monthly temperature distributions which are of critical value to impact assessments.
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