Publications

PUBLICATIONS

Our core members have published more than 100 paper in collaboration with other ELLIS fellows or scholars from outside the unit Jena since 2021.

2024

Early warning of complex climate risk with integrated artificial intelligence

Markus Reichstein, Dorothea Frank, Vitus Benson, Gustau Camps-Valls, Joachim Denzler, Kai Kornhuber, Bernhard Schoelkopf, Ricardo Vinuesa, Boran Han, Carina Fearnley, Nasim Rahaman, José María Tarraga, Jan Blunk, Karen Dall, Giulia Martini, Naomi Nganga, Danielle Robinson

PUBLICATIONS

Our core members have published more than 100 paper in collaboration with other ELLIS fellows or scholars from outside the unit Jena since 2021.

2024

Early warning of complex climate risk with integrated artificial intelligence

DeepPhenoMem V1.0: Deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology

A New Post‐Hoc Method to Reduce the Energy Imbalance in Eddy Covariance Measurements

Spatial patterns of vegetation activity related to ENSO in northern South America

Biodiversity and climate extremes: known interactions and research gaps

Flagging inconsistencies in flux tower data

How atmospheric CO2 can inform us on annual and decadal shifts in the biospheric carbon uptake period

Causal hybrid modeling with double machine learning-Applications in carbon flux modeling

Spatial patterns of vegetation activity related to ENSO in northern South America

X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X

Double machine learning for causal hybrid modeling--applications in the Earth sciences

Physics Informed Modeling of Ecosystem Respiration via Dynamic Mode Decomposition with Control Input

Changing effects of external forcing on Atlantic–Pacific interactions

Bootstrap aggregation and confidence measures to improve time series causal discovery

Earth virtualization engines (EVE)

Causally‐informed deep learning to improve climate models and projections

Compounding effects in flood drivers challenge estimates of extreme river floods

Interpretability of negative latent heat fluxes from eddy covariance measurements in dry conditions

Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges

A belowground perspective on the nexus between biodiversity change, climate change, and human well‐being

2023

Methodological challenges and new perspectives of shifting vegetation phenology in eddy covariance data

Widespread and complex drought effects on vegetation physiology inferred from space

Causal inference for time series

A joint framework for studying compound ecoclimatic events

Widespread but divergent drought legacy effects on gross primary productivity

Evaluating causal arctic‐midlatitude teleconnections in cmip6

Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6

Improving air quality assessment using physics-inspired deep graph learning

Mixed membership Gaussians

Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree

Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances

Discovering causal relations and equations from data

Leaf-level coordination principles propagate to the ecosystem scale

Efficient and Portable Einstein Summation in SQL

Soil heat extremes can outpace air temperature extremes

Publisher Correction: Increasing impact of warm droughts on northern ecosystem productivity over recent decades

Soil heat extremes outpace their atmospheric counterpart

Ten new insights in climate science 2023/2024

Large variability in simulated response of vegetation composition and carbon dynamics to variations in drought‐heat occurrence

The detection and attribution of extreme reductions in vegetation growth across the global land surface

High frequency root dynamics: sampling and interpretation using replicated robotic minirhizotrons

Contrasting drought propagation into the terrestrial water cycle between dry and wet regions

The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation

A generalizable normalization for assessing plant functional diversity metrics across scales from remote sensing

Seasonal and Inter-Annual Rainfall Patterns Drive Mediterranean Cork Oak Woodland Carbon Uptake and Sequestration

Shifting vegetation phenology in eddy covariance data: Methodological challenges and new perspectives

Identifying drivers of river floods using causal inference

2022

Widespread increasing vegetation sensitivity to soil moisture

Widespread shift from ecosystem energy to water limitation with climate change

Contrasting biophysical and societal impacts of hydro-meteorological extremes

A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections

ESMValTool

Optimization for Classical Machine Learning Problems on the GPU

Optimization for Classical Machine Learning Problems on the GPU

Machine Learning, Linear Algebra, and More: Is SQL All You Need?

Combining system modeling and machine learning into hybrid ecosystem modeling

2021

Bottom-up identification of key elements of compound events

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