Articles | Volume 11, issue 9
https://doi.org/10.5194/cp-11-1153-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-11-1153-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Sep 2015
Research article |
| 17 Sep 2015
A millennial summer temperature reconstruction for northeastern Canada using oxygen isotopes in subfossil trees
M. Naulier
CORRESPONDING AUTHOR
Institut national de la recherche scientifique-ETE, 490 rue de la Couronne, QC, G1K9A9, Canada
M. M. Savard
Geological Survey of Canada, Natural Resources Canada, 490 rue de la Couronne, QC, G1K9A9, Canada
C. Bégin
Geological Survey of Canada, Natural Resources Canada, 490 rue de la Couronne, QC, G1K9A9, Canada
F. Gennaretti
Université du Québec à Rimouski, 300 allée des Ursulines, Rimouski, G5L3A1, Canada
D. Arseneault
Université du Québec à Rimouski, 300 allée des Ursulines, Rimouski, G5L3A1, Canada
J. Marion
Geological Survey of Canada, Natural Resources Canada, 490 rue de la Couronne, QC, G1K9A9, Canada
A. Nicault
Aix-Marseille University, ECCOREV (3098), Europôle Méditerranéen de l'Arbois, BP 80, 13545 Aix-en-Provence cedex 4, France
Y. Bégin
Institut national de la recherche scientifique-ETE, 490 rue de la Couronne, QC, G1K9A9, Canada
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Ignacio Hermoso de Mendoza, Etienne Boucher, Fabio Gennaretti, Aliénor Lavergne, Robert Field, and Laia Andreu-Hayles
Geosci. Model Dev., 15, 1931–1952, https://doi.org/10.5194/gmd-15-1931-2022, https://doi.org/10.5194/gmd-15-1931-2022, 2022
Short summary
Short summary
We modify the numerical model of forest growth MAIDENiso by explicitly simulating snow. This allows us to use the model in boreal environments, where snow is dominant. We tested the performance of the model before and after adding snow, using it at two Canadian sites to simulate tree-ring isotopes and comparing with local observations. We found that modelling snow improves significantly the simulation of the hydrological cycle, the plausibility of the model and the simulated isotopes.
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Short summary
This paper presents a millennial δ18O series and the reconstruction of the maximal temperature. The maximal replication and annual resolution have been obtained by using cohort sampling method. Three contrasted climatic periods have been identified: the medieval warm period (~997-1250; the warmest), the little ice age (~1450-1880) and the modern period (1970-2000) that is one of the fastest warming over the last millennium.
This paper presents a millennial δ18O series and the reconstruction of the maximal temperature....
