Home 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 Niels Behr Fast feedbacks in the Earth system: land surface fluxes’ influence on low-cloud formation and the Earth energy balance Vitus Benson Deep Learning for multi-modal characterization of spatio-temporal Earth system dynamics on multiple spatial scales Georgios Blougouras Deep hybrid learning for improving hydrological predictions and understanding Eleanor Butler Compound Extremes and Forest Disturbances Vani Chaturvedi Thermodynamic modelling of matter and energy dynamics at the aggregated soil system perspective (SysPer) Xiuzhi Chen Unravelling ecosystem responses to environmental conditions Mohammed Ayoub Chettouh Combining process-based and deep learning models to understand the dual role of microbes as decomposers and stabilizers of soil carbon Maíra Conde Tree-Ring Signatures of CO2 Fertilization and Altered Drought Resilience Ranit De Inter-annual variability in terrestrial ecosystem fluxes Qiqi Deng Detecting ecosystem stress from space using synergistic remote sensing and fluorescence Reda ElGhawi Hybrid machine-learning based modelling of biosphere-atmosphere interactions Arvind Gauns Integrating Remote Sensing and Modeling approaches to Assess Carbon Dynamics of a Fertilized Tree-Grass Ecosystem Jonathan Groß Decadal variations in ecosystem exchange carbon fluxes informed by a global hybrid data-driven model Bayu Budi Hanggara Complex biogeochemical and biophysical properties of tree-grass coexistence at a Mediterranean savanna ecosystem Sebastian Hoffmann Large-Scale Self-Supervised Representation Learning for Earth System Modeling Yucong Hu Global data-driven assessment of water and carbon cycle with domain knowledge Paul Jänsch Insights into vegetation dynamics from large-scale Earth observation Theertha Kariyathan Linking atmospheric and landsurface observations for a better understanding of climate-biosphere interactions Lara Kösters Deep learning species classification using morphological and genetic data Hoontaek Lee Carbon-water interactions across scales Suxun Li Understanding drivers of biomass patterns and dynamics with Earth observations and machine learning Mauricio Lima Adapt Generative Diffusion Models to Assess Vegetation’s Role in Extreme Weather Formation Sophie Machaczek Fast Microbial Processes and the Long-Term Soil Carbon-Climate Feedback Franziska Müller Forest disturbance classification using deep learning approaches Laura Nadolski Integrating remote sensing and modeling approaches to assess carbon dynamics of a fertilized tree-grass ecosystem Nikolaos Papanikolaou Causal Modeling for Hybrid Models: Towards a Framework for Earth System Science Jeran Poehls Downscaled Predictions of Climatic Extreme Events Yinghuan Qin Carbon sequestration in blue ecosystems (c-blues) Moien Rangzan Harnessing computer vision and machine learning for a renewed cartography of human impact on landscapes Claire Robin Explainable deep learning for spatiotemporal ecosystem dynamics Leo Roßdeutscher Understanding forest carbon-water relations in a changing climate Deep Prakash Sarkar Data driven models of individual trees to better understand forest water use Myriam Terristi Dynamics of the terrestrial carbon and water cycles in response to record shattering eco-meteorological events Samuel Upton Machine-learning based estimation of ecosystem CO2 fluxes constrained by atmospheric and ecosystem observations Bui Uyen Bioclimatic Shifts of Vegetation and Their Role in Past and Future Climate Change Siyuan Wang Global Vegetation Dynamics Tuya Wulan Causal Learning of Emergent Soil Moisture-Vegetation Dynamics under Historical and Future Climate Change Nianci Yao The impacts of wildfire smoke and dust storms on ecological functions Xin Yu Memory effects of climate extremes on ecosystems Jinfeng Zhao Disentangle the individual effects of eCO2 on ET across vegetation types Jialiang Zhou Machine learning for improved irrigation representation and understanding within Earth system models Wenxi Zhou Interactions between microbial community dynamics and blue carbon ecosystem methane fluxes