Data homogenization is a technique for finding and fixing artificial inhomogeneities in the data series due, e.g., to station relocation, changes in the surrounding environment (e.g. trees growing close to the station) or in the instruments.
Such artificial changes usually affect a series covering more than a few years of data and can seriously deviate its statistics.
See: http://www.homogenisation.org/v_02_15/
Valentina Pavan
I do not think data are homogenized, and have some doubts about application of standard statistical homogeneity test techniques. The point is, you should ask to the national coordinator, Franco Desiato, of Ispra.
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