4 papers
A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
Jakob Schloer, Matthew Newman, Jannik Thuemmel +2
While deep-learning models have demonstrated skillful El Niño Southern Oscillation (ENSO) forecasts up to one year in advance, they are predominantly trained on climate model simu…
Intraseasonal synchronization of extreme rainfalls between North India and the Sahel
Felix Strnad, Kieran M. R. Hunt, Niklas Boers +1
The Indian Summer Monsoon (ISM) and the West African Monsoon (WAM) are dominant drivers of boreal summer precipitation variability in tropical and subtropical regions. Although the…
Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO Variance
Jakob Schlör, Felix Strnad, Antonietta Capotondi +1
El Niño Southern Oscillation (ENSO) diversity is characterized based on the longitudinal location of maximum sea surface temperature anomalies (SSTA) and amplitude in the tropical…
Inductive biases in deep learning models for weather prediction
Jannik Thuemmel, Matthias Karlbauer, Sebastian Otte +8
Deep learning has gained immense popularity in the Earth sciences as it enables us to formulate purely data-driven models of complex Earth system processes. Deep learning-based wea…