In viticulture, climate conditions prove to be a crucial driver in what regards quality of vintages.

Understanding to what extent the predicted variability of these parameters could affect wine production in the future, creates ground for efficient assessment of appropriate mitigation and adaptation measures and guarantees the further sound development of wine industry. Our study analyzes the relationship between meteo-climatic conditions expressed by Huglin Index and precipitation during growing season- and wine ratings of the three of the most representative Italian Wines, namely Amarone, Barolo and Brunello. Resulting coefficients of a panel data regression are used in a dynamic model aimed at forecasting the quality of harvests through to 2050.