Abstract
This chapter is organized in four sections, which refer to the homogenization algorithm applied to the meteorological data, the statistical methods, the spatialisation methods used to derive the climatological maps and the regional climate models used to derive the future changes in the climate of the Romanian Carpathians. The homogenization was done using the Multiple Analysis of Series for Homogenization (MASH v3.03) method and software and the gridding was based on the Meteorological Interpolation based on the Surface Homogenized Data Basis (MISH v1.03) software, whose results were successfully applied within the CARPATCLIM project. The main statistical methods applied in the climatic analyzes are the Mann-Kendall trend test, the Kendal-Theil slope estimation and the Spearman rank correlation coefficient. Interpolation surfaces of climate variables have been constructed using the Regression Kriging method, which combines a multivariate regression model with kriging of the regression residuals. The climate change signals until 2050 were derived from the outputs of three Regional Climate Models (RegCM3, ALADIN-Climate, and PROMES) at 25 km spatial resolution, under A1B IPCC scenario.
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Micu, D.M., Dumitrescu, A., Cheval, S., Birsan, MV. (2015). Methods. In: Climate of the Romanian Carpathians. Springer Atmospheric Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-02886-6_5
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