A three-step climate classification – input variable selection, principal components analysis and k-means clustering – was applied to a spatial domain covering the Himalayan arc and adjacent plains regions using input data from four global meteorological reanalyses. This revealed a reanalysis ensemble consensus for eight macro-climate zones. Zonal statistics revealed consistent, distinct climatologies. This approach has implications for resource assessments and data set bias characterisations.