Home Departments Biogeochemical Integration | Prof. Reichstein Publications Theses Ongoing Theses Ongoing Theses Zavud Baghirov Deep learning-based, hybrid, uncertainty aware modelling of the coupled water and carbon cycle using Earth observations Vitus Benson Deep Learning for multi-modal characterization of spatio-temporal Earth system dynamics on multiple spatial scales Ekaterina Bogandovich Societal attention to extreme weather events Ranit De Inter-annual variability in terrestrial ecosystem fluxes Kelley De Polt Impacts of extreme weather events across scales and domains Lucia Muriel Eder Effects of elevated CO2 on soil organic matter turnover and nutrient uptake, Institute for Geography, University of Jena Arvind Gauns Integrating Remote Sensing and Modeling approaches to Assess Carbon Dynamics of a Fertilized Tree-Grass Ecosystem Reda El Ghawi Hybrid machine-learning based modelling of biosphere-atmosphere interactions Naixin Fan Environmental controls of ecosystem turnover times Ulisse Gomarasca Understanding relationship between ecosystems multifunctionality with climate, vegetation properties and biodiversity Theertha Kariyathan Biogeochemical insights from multi-tracer atmospheric flask data Negin Katal Using Flora Incognita plant observation data and applying deep learning for phenological modeling Lara Kösters Deep learning species classification using morphological and genetic data Çağlar Küçük Ecohydrology from space Hoontaek Lee Carbon-water interactions across scales Na Li Internally-driven versus externally forced components of the global C cycle Wantong Li Identifying hydro-meteorological controls on global photosynthesis and vegetation feedback on surface water deficit Nora Linscheid Ecological process understanding across time scales Franziska Müller Forest disturbance classification using deep learning approaches Daniel Pabón Upscaling Plant Functional Properties Marleen Pallandt-Vermeulen Modelling the role of soil moisture dynamics on soil organic matter decomposition Sinikka Paulus Atmosphere interactions in seasonally dry systems using lysimeter data Jeran Poehls Downscaled Predictions of Climatic Extreme Events Christian Requeña Deep learning approaches for analyzing spatio-temporal memory effects in Earth System data Melissa Ruiz Vásquez Exploring the potential of vegetation information for improving weather forecasts Albrecht Schall Detection and anticipation of climate extremes and their impacts with machine learning Samuel Upton Machine-learning based estimation of ecosystem CO2 fluxes constrained by atmospheric and ecosystem observations Siyuan Wang Global Vegetation Dynamics Xin Yu Memory effects of climate extremes on ecosystems Weijie Zhang Plant water use across the globe Chunhui Zhan How do plant-physiological effects of increasing CO2 influence the land-atmosphere fluxes of carbon and water? Chenwei Xiao Land management for ecosystem resilience