Hydrological reconstruction from tree-ring multi-proxies over the last two centuries at the Caniapiscau Reservoir, northern Québec, Canada

• Published in: Journal of Hydrology
• Main Authors: Nicault, A., Boucher, E., Guiot, Joel, Bégin, C., Marion, J., Perreault, L., Roy, R., Savard, M.M., M, Bégin, Y.
• Other Authors: Ecosystèmes continentaux et risques environnementaux (ECCOREV), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2014
• Subjects: [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces; environment; Arctic; Canada; North Atlantic; North Atlantic oscillation
• Online Access: https://insu.hal.science/insu-02269752; https://doi.org/10.1016/j.jhydrol.2014.03.054

International audience s u m m a r y The objective of this study was to reconstruct 200 years of spring (Q spr), summer (Q sum) and annual (Q ann) water supply variability at the Caniapiscau Reservoir in a remote area of northern Quebec. This region which is a key hydropower region of North America lacks long-term hydrological series, and tree-ring proxies are seen here as the best alternative for the extension of the climatic series beyond instrumental records. Thus, ring widths, ring densities and stable isotope ratios (d 13 C and d 18 O) were used to perform paleohydrological reconstructions. The following reconstruction techniques were evaluated for each variable reconstructed: partial least square (PLS) regression applied to all of the tree-ring series, PLS regression applied to selected tree-ring series, and the best analogue method (BAM) applied to selected tree-ring series. These three reconstructions were then combined in a composite reconstruction. Reconstruction verification shows that the annual and summer water supply reconstruction quality is good. Conversely, the verification tests disqualified our spring water supply reconstruction. The reconstructed long-term water supply variations over the last two centuries are dominated by decadal to sub-decadal fluctuations, including distinct long hydrological periods during which water supplies change in intensity and variability. Annual water supplies (Q ann) inversely correlate with both winter and summer indices. Annual water supplies (Q ann) inversely correlate with Arctic oscillation (AO) and North Atlantic Oscillation (NAO) winter and summer indices. Also, AO indices also influence Q ann to a greater degree than NAO indices. Finally, summer water supplies inversely correlate only with summer indices.