43 citations · 119 across the 7 of their papers we have counts for
7 papers
Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents
Felix Wagner, Florian Nachtigall, Lukas Franken +6
Climate change mitigation in urban mobility requires policies reconfiguring urban form to increase accessibility and facilitate low-carbon modes of transport. However, current poli…
Causally-informed deep learning to improve climate models and projections
Fernando Iglesias-Suarez, Pierre Gentine, Breixo Solino-Fernandez +4
Climate models are essential to understand and project climate change, yet long-standing biases and uncertainties in their projections remain. This is largely associated with the r…
Causal inference for process understanding in Earth sciences
Adam Massmann, Pierre Gentine, Jakob Runge
There is growing interest in the study of causal methods in the Earth sciences. However, most applications have focused on causal discovery, i.e. inferring the causal relationships…
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
Christian Requena-Mesa, Vitus Benson, Markus Reichstein +2
Satellite images are snapshots of the Earth surface. We propose to forecast them. We frame Earth surface forecasting as the task of predicting satellite imagery conditioned on futu…
High-recall causal discovery for autocorrelated time series with latent confounders
Andreas Gerhardus, Jakob Runge
We present a new method for linear and nonlinear, lagged and contemporaneous constraint-based causal discovery from observational time series in the presence of latent confounders.…
Reconstructing regime-dependent causal relationships from observational time series
Elena Saggioro, Jana de Wiljes, Marlene Kretschmer +1
Inferring causal relations from observational time series data is a key problem across science and engineering whenever experimental interventions are infeasible or unethical. Incr…
Common solar wind drivers behind magnetic storm-magnetospheric substorm dependency
Jakob Runge, Georgios Balasis, Ioannis A. Daglis +2
The dynamical relationship between magnetic storms and magnetospheric substorms presents one of the most controversial problems of contemporary geospace research. Here, we tackle t…