Articles | Volume 13, issue 2
Geosci. Model Dev., 13, 841–858, 2020
https://doi.org/10.5194/gmd-13-841-2020
Geosci. Model Dev., 13, 841–858, 2020
https://doi.org/10.5194/gmd-13-841-2020

Model description paper 03 Mar 2020

Model description paper | 03 Mar 2020

Reconstructing climatic modes of variability from proxy records using ClimIndRec version 1.0

Simon Michel et al.

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Cited articles

Andersen, K., Ditlevsen, P., Rasmussen, S., Clausen, H., Vinther, B., Johnsen, S., and Steffensen, J.: Retrieving a comon accumulation record from Greenland ice cores for the past 1800 years, J. Geophys. Res., 111, D15106, https://doi.org/10.1029/2005JD006765, 2006. 
Björklund, J. A., Gunnarson, B. E., Seftigen, K., Esper, J., and Linderholm, H. W.: Blue intensity and density from northern Fennoscandian tree rings, exploring the potential to improve summer temperature reconstructions with earlywood information, Clim. Past, 10, 877–885, https://doi.org/10.5194/cp-10-877-2014, 2014. 
Booth, B. B. B., Dunstone, N. J., Halloran, P. R., Andrews, T., and Bellouin, N.: Aerosols implicated as a prime driver of twentieth-century North Atlantic climate variability, Nature, 484, 228–233, https://doi.org/10.1038/nature10946, 2012. a
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, 2001. a, b, c
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Natural archives such as sediments, ice, tree rings or speleothems provide indirect observations of past climate at local and regional scales. In this paper, we provide a computational device to properly make evaluated reconstructions of climate indices using these paleo-data. It provides optimizing cross-validation algorithms and four regression methods that are applied to the reconstruction of the North Atlantic Oscillation index and compared in this study.