Karlsruhe Institute for Technology Peter Knippertz

The Karlsruhe Institute of Technology, briefly referred to as KIT, was established by the merger of the Forschungszentrum Karlsruhe GmbH and the Universität Karlsruhe (TH) on October 01, 2009. KIT combines the tasks of a university of the state of Baden-Württemberg with those of a research center of the Helmholtz Association in the areas of research, teaching, and innovation.

The KIT merger represents the consistent continuation of a long-standing close cooperation of two research and education institutions rich in tradition. The University of Karlsruhe was founded in 1825 as a Polytechnical School and has developed to a modern location of research and education in natural sciences, engineering, economics, social sciences, and the humanities, which is organized in eleven departments. The Karlsruhe Research Center was founded in 1956 as the Nuclear Reactor Construction and Operation Company and has turned into a multidisciplinary large-scale research center of the Helmholtz Association, which conducts research under eleven scientific and engineering programs.

In 2014/15, the KIT concentrated on an overarching strategy process to further develop its corporate strategy. This mission statement as the result of a participative process was the first element to be incorporated in the strategy process.

 Institute of Meteorology and Climate Research - Department Troposphere Research (IMK-TRO):

Atmospheric dynamics uses the fundamental laws of physics to understand air circulations and associated weather and climatic phenomena, particularly on the meso and synoptic scale, but also in the planetary boundary layer. Dynamical processes and their interactions with clouds and precipitation are key elements of all weather and climate models. The working group follows an integrated approach using observational and model studies, analyses of field campaigns and resulting conceptional models of atmospheric dynamics, which allow, among other things, advances in model physics and regime-dependent analysis of ensemble predictions, for example as part of the Collaborative Research Center 165 “Waves to Weather ”. The understanding of dynamical processes has a growing importance in times of seamless prediction systems, in which the entire range of scales from days to centuries is represented by just one model chain, as systematic errors in climate models can already be established after a few days integration time. This is particularly true for the Tropics, where daily weather prediction is still a challenge and one of the foci of our group. An additional point that is receiving increasing attention is the question of changing weather, particularly extreme weather, in a changing climate.