final_program_abstracts[1]

11 IMSC Session Program
Homogenization of Argentinean temperature series with an
automated Bayesian procedure
Tuesday - Parallel Session 8
Alexis Hannart
We describe a new automatized homogenization procedure. Inhomogeneities are
detected on pairwise difference series between correlated neighbours, using a recent
Bayesian changepoint algorithm which provides breakpoints posterior distributions.
Then, a set of rules which take advantage of these posteriors in the framework of
Bayesian decisioning theory is created to attribute the detected inhomogeneities to
their culprit series and to group them, in lieu of the time consuming visual inspection
used by most existing procedures involving pairwise difference series. The procedure
is illustrated on Argentinean temperature data, leading to enhanced warming trends
after homogenization.
Abstracts 153