Predicted precipitation and temperature development for the lee area of the Harz Mountains increase the requirements for climate adaptation. Particularly sensitive to the effects of climate change is the agricultural sector in Central Germany, as reported in the Vulnerability Study for the Federal Republic of Germany. The e-learning platforms introduced in this paper, therefore, focus on sensitizing different educational and agricultural stakeholder to the regional and local impacts of climate change and necessary adaptation strategies. The aim is to combine the possibilities of conventional classroom learning with web-based learning units. Regional case studies serve as training objects, presented in web-based learning modules as well as in lecture series or science camps. Additionally, virtual landscape models and interactive maps are generated for selected processes in the context of climate change, supplemented by simplified simulations. The educational concept focuses not only on the visualization of directly perceptible structures such as snow cover, but also on the representation of non-observable processes (e.g., soil water). The results of the project are implemented as a Rich Internet application in a modular e-learning platform, that combines semantic web technologies and cross media ESRI Story Maps with R-based models, scenarios, and database-supported long climate measurement series. In addition, numerous immediate self-examination applications are integrated. The web-based teaching and learning methods are developed for a usage within blended learning models and to support individual learning under the consideration of previous knowledge.