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TitleDonnées climatologiques et nivométriques du projet ARCHIVES
DownloadDownload (whole publication)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorTapsoba, D; Guay, 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. 60-63, 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; Ontario; Newfoundland and Labrador
NTS13; 21; 22; 23; 31; 32; 33; 41; 42
AreaComplexe La Grande; Labrador
Lat/Long WENS -86.0000 -63.0000 56.0000 44.0000
Subjectsenvironmental geology; hydrogeology; Nature and Environment; Science and Technology; Recent; climatology; hydrologic environment; watersheds; meteorology; snow; temperature; geostatistics; topography; mapping techniques; Le projet ARCHIVES; Climate change; Hydrology; Boreal ecosystems; Forests; Phanerozoic; Cenozoic; Quaternary
Illustrationslocation maps; geoscientific sketch maps
ProgramClimate Change Geoscience Extreme Events
Released2021 06 28
AbstractThe climatological (minimum and maximum temperatures, precipitation) and nivometric (water equivalents of snow) variables are observed at various sites distributed over the ARCHIVES project study area. On the basis of these scattered point measurements, algorithms are applied which make it possible to estimate the values of these different variables at all points or nodes of a regular grid superimposed on this domain. The algorithms used are those of kriging. They make it possible to integrate the spatial behavior of each variable, the effects of auxiliary data such as topography, and finally to provide a barometer for quantifying the errors associated with the estimations. In this way, maps of the spatial distribution of climatological and snow-metric variables are constructed, which are then linked to dendrometric data.

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