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TitleAnalyse des changements de régimes dans les séries temporelles issues de la dendrochronologie
DownloadDownload (whole publication)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorPerreault, L; Nicault, A; Boucher, É; Arseneault, D; Gennaretti, F
SourceUtilisation des archives naturelles pour la reconstitution du passé hydro-climatique; by Bégin, C; Nicault, A; Bégin, Y; Geological Survey of Canada, Open File 8768, 2021 p. 130-142, Open Access logo Open Access
PublisherNatural Resources Canada
Documentopen file
Mediaon-line; digital
RelatedThis publication is contained in Utilisation des archives naturelles pour la reconstitution du passé hydro-climatique
File formatpdf
ProvinceQuebec; Newfoundland and Labrador
NTS12M; 13D; 13E; 13L; 13M; 22M; 22N; 22O; 22P; 23; 32M; 32N; 32O; 32P; 33
AreaComplexe La Grande; Rivière Caniapiscau; Churchill Falls; Labrador
Lat/Long WENS -79.5000 -62.0000 55.0000 51.0000
Subjectsenvironmental geology; hydrogeology; Nature and Environment; Science and Technology; climatology; paleoclimatology; hydrologic environment; dendrochronology; modelling; models; meteorology; temperature; precipitation; watersheds; statistical methods; sampling methods; Le projet ARCHIVES; Picea mariana; Methodology; Climate change; Hydrology; Boreal ecosystems; Forests; Trees; Biology; Artificial intelligence; Phanerozoic; Cenozoic; Quaternary
Illustrationstime series; models; flow diagrams; tables; plots; sketch maps; photographs
ProgramClimate Change Geoscience Extreme Events
Released2021 06 28
AbstractThe problem of switching regimes in hydrological time series led to serious questioning in Québec during the last decades. In fact, when we examine annual inflow and precipitation time series of a number of Québec watersheds, we can identify alternating sequences of high and low values. These variations must be taken into account in the hydrological forecasting process. However, since we only have limited information (no more than five decades of observations), we may examine different natural archives such as trees to study hydroclimatic variability over a longer period. One of the objectives of the ARCHIVES project was therefore to study hydrometeorological regime changes in time series reconstructed using dendrochronology. In this chapter, we address the problem of changepoint analysis in such time series by using finite mixtures of distributions. Mixtures of distributions become natural models to represent datasets in which observations may originate from several distinct statistical populations.
The problem is treated from a Bayesian perspective. Our approach was applied to several time series reconstructed in the ARCHIVES project. These applications allowed us to identify regime changes that are spatially consistent, as well as historical changepoints that correspond to specific events such as abrupt changes in summer temperatures that coincide with strong volcanic eruptions. In this chapter, we describe the approach and illustrate it by analysing time series of summer temperatures and water inflows reconstructed using black spruce (Picea mariana Mill. BSP) tree-rings.

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