3 citations · 3 across the 3 of their papers we have counts for
4 papers
FESOM2-JAX v1.0: a differentiable shadow of the ocean-sea-ice model FESOM2, cast onto GPUs
Nikolay V. Koldunov, Sergey Danilov, Suvarchal Cheedela +9
We present FESOM2-JAX, a Python re-implementation of the Finite-volumE Sea ice-Ocean Model (FESOM2) in JAX. The model retains the unstructured-mesh, cell-vertex finite-volume formu…
An Ocean Model Ported by a Large Language Model: Experience and Lessons from FESOM2 (Fortran to C to C++/Kokkos)
Nikolay V. Koldunov, Suvarchal K. Cheedela, Sergey Danilov +3
Large language models (LLMs) can translate and modify source code, and have been shown to do so for codes of different complexity. Whether they can port a complete, production geop…
Emerging AI-based weather prediction models as downscaling tools
Nikolay Koldunov, Thomas Rackow, Christian Lessig +5
The demand for high-resolution information on climate change is critical for accurate projections and decision-making. Presently, this need is addressed through high-resolution cli…
Split-explicit external mode solver in finite volume sea ice ocean model FESOM2
Tridib Banerjee, Patrick Scholz, Sergey Danilov +2
A novel split-explicit (SE) external mode solver for the Finite volumE Sea ice-Ocean Model (FESOM2) is presented. It is compared with the semi-implicit (SI) solver currently used i…