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

Georgios Blougouras

Interpretable machine learning for hydrological drought understanding

Ekaterina Bogandovich

Societal attention to extreme weather events

Eleanor Butler

Compound Extremes and Forest Disturbances

Mohammed Ayoub Chettouh

Simon Danisch

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

Bayu Budi Hanggara

Complex biogeochemical and biophysical properties of tree-grass coexistence at a Mediterranean savanna ecosystem

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

Nora Linscheid

Ecological process understanding across time scales

Franziska Müller

Forest disturbance classification using deep learning approaches

Laura Nadolski

Revealing Carbon Dynamics in a Semi-Arid Savanna Ecosystem under Different Disturbances

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

Claire Robin

Machine learning method for vegetation forecasting

Leo Roßdeutscher

Combining process-based and deep learning models to understand soil processes better

Melissa Ruiz Vásquez

Exploring the potential of vegetation information for improving weather forecasts

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

Siyuan Wang

Global Vegetation Dynamics

Chenwei Xiao

Land management for ecosystem resilience

Xin Yu

Memory effects of climate extremes on ecosystems

Chunhui Zhan

How do plant-physiological effects of increasing CO2 influence the land-atmosphere fluxes of carbon and water?

Weijie Zhang

Plant water use across the globe

Jinfeng Zhao

Disentangle the individual effects of eCO2 on ET across vegetation types
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