Lennart Marien works since November 2019 as a scientist in the Digital Earth project of the Helmholtz Association of German Research Centers (HGF). There, he works in the frame of the Bridging Postdocs project „Machine Learning methods for assessing causal links in heterogenous data: applied to Climate Change and Health” on modelling health risks (esp. myocardial infarctions) due to heat waves and other heat-related stressors in the Augsburg region by means of Machine Learning and Artificial Intelligence. The project is conducted in close cooperation with the Helmholtz-Zentrum München: German Research Center for Environmental Health (HMGU) in Munich. In doing so, the expertise with respect to health (HMGU) and climate change (GERICS/HZG) will be focused to allow for both: robust modelling of existing risk factors as well as the projection of possible future changes in risk due to climate change.
Recently, Lennart submitted his PhD-thesis „Towards well-balancing the regional hydrostatic climate model REMO“ at the Universität Hamburg. Before, he worked as a PhD-student at GERICS on the development of a well-balanced discretization of the pressure gradient force for the regional climate model REMO. The aim of this research was the reduction of numerical errors in the pressure gradient force that – due to the use of a terrain-following coordinate system – occur especially in orographically complex terrain. Before his time at GERICS Lennart studied applied mathematics at the Universität Hamburg and graduated successfully in 2013.
Detailed CV of Lennart Marien (115 KB)