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International Baltic Earth master course on “Climate of the Earth system”

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Illustration depicting the circulation of the global ocean. Throughout the Atlantic Ocean, the circulation carries warm waters (red arrows) northward near the surface and cold deep waters (blue arrows) southward. Image courtesy of NASA/JPL

As in the previous years, University of Rostock and Baltic Earth offer a hybrid Master Course on the "Climate of the Earth system" in the starting winter semester 2024-2025. The course can be followed on site and remotely. It starts on 16 October.

We invite master students to the new international hybrid master course on
“Climate of the Earth system” at the University of Rostock


Students will be introduced into fundamental processes in the Earth's climate system of the atmosphere, ocean, and sea ice and into basic methods of the statistical analysis and modelling of climate variability on Earth including the impact of anthropogenic greenhouse gas emissions and other drivers such as variations in solar insolation and volcanic eruptions.

Global radiation budgets, feedback mechanisms and tipping points in the Earth's climate system will be explained. Deterministic climate models based upon first principles such as high-resolution coupled atmosphere, ocean and sea ice models will be presented. The large-scale circulation in the atmosphere and in the ocean will be discussed.

Students will be introduced into the analysis of internal climate variability of the Earth system from years to millennia as recorded from instrumental data, historical documents and proxy data such as tree ring data or sediment cores.

For the analysis of climate variability both statistical methods and numerical modeling are used. Methods for the detection of systematical changes in climate and for the attribution of drivers to these changes will be presented and discussed. The course will introduce fundamentals of statistics such as probability density distribution, covariance matrix, estimation of statistical parameters, auto- and cross-covariance functions, spectra, time series analysis, multivariate data analysis, uncertainty analysis in statistical methods and strategies of statistical analysis of instrumental observational, proxy and model data. Deterministic climate models will be compared with stochastic climate models.

Info on application and conditions (855 KB)