3 papers
cs.DC2026
Integrating a Python Dynamical core into ICON
Mauro Bianco, Till Ehrengruber, Enrique González Paredes +19
The transition of Earth-system models to exascale is often hindered by rigid, monolithic Fortran codebases and maintenance-heavy compiler directives. While high-level DSLs offer a…
physics.ao-ph2026
A Deep Learning Earth System Model Simulation of Indian Monsoon Intraseasonal and Interannual Variability
Bijit Kumar Banerjee, Devabrat Sharma, R. I. Sujith +6
With the data-driven artificial intelligence/machine learning (AI/ML) models having demonstrated their ability to extend the prediction horizon of large-scale weather at a fraction…
physics.ao-ph2024
Towards Specialized Supercomputers for Climate Sciences: Computational Requirements of the Icosahedral Nonhydrostatic Weather and Climate Model
Torsten Hoefler, Alexandru Calotoiu, Anurag Dipankar +3
We discuss the computational challenges and requirements for high-resolution climate simulations using the Icosahedral Nonhydrostatic Weather and Climate Model (ICON). We define a…