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Bayesian multiple change-points and segmentation: application to homogenization of climatic series homogenization of climatic series

2009
We describe a new multiple change-point detection technique based on segmenting the time series under study into subsequences. These segments correspond to the episodes that are likely to contain at most a unique jump. They are found by applying Bayesian decision theory through the minimization of simple cost functions.
Hannart, Alexis, Naveau, Philippe
openaire   +1 more source

Canadian historical and homogeneous temperature datasets for climate change analyses

International Journal of Climatology, 1999
The Canadian Historical Temperature Database (CHTD) was developed to meet the need for detailed individual station datasets and to produce an improved historical climate change database. It contains datasets of monthly mean maximum and minimum temperatures for 210 Canadian stations.
Lucie A. Vincent, D.W. Gullett
openaire   +2 more sources

Homogenization of climatic series via pairwise comparisons: An automated Bayesian algorithm

2009
We describe an automated homogenization algorithm based on pairwise comparison of neighbouring station series. In homogenization, such pairwise comparison techniques avoid falling back on regional reference series, which potential non homogeneity is often considered a drawback. While they efficiently mitigates this issue, pairwise comparison techniques
Hannart, Alexis   +2 more
openaire   +1 more source

A new homogenized climate database for the Pyrenees (1950-2010)

2014
Jordi Cunilera   +8 more
openaire   +2 more sources

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