48 citations · 69 across the 4 of their papers we have counts for
5 papers
HClimRep-Ocean: A Global Ocean Emulator on an Unstructured Mesh
Kacper Nowak, Aleksei Koldunov, Nikolay Koldunov +7
Machine-learning (ML) emulators for atmospheric processes have advanced rapidly in recent years, transforming weather forecasting. Although early ML ocean forecasting models now ex…
Beyond Standard Datacubes: Extracting Features from Irregular and Branching Earth System Data
Mathilde Leuridan, James Hawkes, Tiago Quintino +1
Earth science datasets are growing rapidly in both volume and structural complexity. They increasingly contain richly labelled data with heterogeneous metadata and complex internal…
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
Christian Lessig, Ilaria Luise, Bing Gong +3
The atmosphere affects humans in a multitude of ways, from loss of life due to adverse weather effects to long-term social and economic impacts on societies. Computer simulations o…
Guidance note on best statistical practices for TOAR analyses
Kai-Lan Chang, Martin G. Schultz, Gerbrand Koren +1
The aim of this guidance note is to provide recommendations on best statistical practices and to ensure consistent communication of statistical analysis and associated uncertainty…
JUWELS Booster -- A Supercomputer for Large-Scale AI Research
Stefan Kesselheim, Andreas Herten, Kai Krajsek +15
In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the Jülich Supercomputing Center. With its system architecture, most import…