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Welcome to the website of the Chair of Geomatics and Geomathematics

Endowed Chair of the City of Ingolstadt
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One of Professor Ray's main areas of work is multi-scale modeling. She cooperates with geoscientists to find out more about the composition and structure of soils. “The microstructure of the soil has a direct influence on its macroscopic behavior. One focus of my work is therefore to build bridges between these two scales,” explains Professor Ray. As the composition of soils is not static, but constantly changing, this places particular demands on multi-scale modeling of issues in this area. Soil plays an important role in questions of energy, sustainability, climate and the environment - as a reservoir for water and carbon and as a habitat for microorganisms. For example, multiscale modeling provides the basis for simulating the absorption of water and nutrients by roots as well as ideal living conditions for microorganisms - also as a basis of knowledge for combating hunger.

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Math News

Special collection on the topic atmosphere and ocean sciences

Prof. Tijana Janjic, Heisenberg Professorship for Data Assimilation is a lead editor for "Combined machine learning and data assimilation for the atmosphere and ocean sciences", a special collection of Quarterly Journal of the Royal Meteorological Society.

Prof. Janjic, who is also a member of MIDS, devotes her research to important areas of climate research. Some of her findings have now been published in a special issue:

"Atmosphere and ocean phenomena are governed by physical laws, span wide range of spatial and temporal scales, and are observed with a variety of instruments providing noisy, incomplete, and non-uniform in space and time data. Often of interest in environmental prediction are forecasts of rare and high impact events, while we strive in predicting the current state of the Earth system and its evolution."

Find the whole article here.

Mathematical Institute for Machine Learning and Data Science

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The Chair of Geomatics and Geomathematics is part of the Mathematical Institute for Machine Learning and Data Science, MIDS.
Learn more about MIDS here.