A key advantage of temperature-based modeling without additional parameters (such as snow cover) is its easy application to climate model data. Temperature is considered a relatively well-certified parameter in the various climate models and their regionalized variants using downscaling. The resulting spatial and temporal changes in the climatological growing season are therefore on a robust basis and form an important basis for the development of adaptation strategies in agriculture.

Schaumberger, A. (2017): Spatial modeling of the thermal growing season for Austria, final report, HBLFA Raumberg-Gumpenstein, Irdning, 53 p.