High-level, high-resolution ocean modeling at all scales with Oceananigans
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arXiv
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2025
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| author | Wagner, Gregory L. Silvestri, Simone Constantinou, Navid C. Ramadhan, Ali Campin, Jean-Michel Hill, Chris Chor, Tomas Strong-Wright, Jago Lee, Xin Kai Poulin, Francis Souza, Andre Burns, Keaton J. Bishnu, Siddhartha Marshall, John Ferrari, Raffaele |
| author_facet | Wagner, Gregory L. Silvestri, Simone Constantinou, Navid C. Ramadhan, Ali Campin, Jean-Michel Hill, Chris Chor, Tomas Strong-Wright, Jago Lee, Xin Kai Poulin, Francis Souza, Andre Burns, Keaton J. Bishnu, Siddhartha Marshall, John Ferrari, Raffaele |
| contents | We describe the user interface, governing equations, and numerical methods underpinning the community ocean modeling software called "Oceananigans". Oceananigans development has been lead by the Climate Modeling Alliance to build a trainable climate model with quantifiable uncertainty. Oceananigans is written in the Julia programming language, which, like similar recent efforts based on modern programming languages, distinguishes it from usual software based on Fortran. Oceananigans can efficiently simulate all scales of ocean motion, ranging from millimeter-scale turbulence in a small box to planetary-scale ocean circulation. Oceananigans design combines (i) a basic structured finite volume algorithm (ii) optimized for high-resolution simulations on GPUs which is (iii) exposed behind a high-level, programmable user interface. This design negotiates a dual mandate for highest-possible performance (to support state-of-the-art applications) and enhanced accessibility (to facilitate adoption and development). The dual mandate aims ultimately to accelerate the progress of Earth system science. Achieving this aim, however, requires a substantial and sustained increase in the collective effort of Oceananigans development. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_14148 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | High-level, high-resolution ocean modeling at all scales with Oceananigans Wagner, Gregory L. Silvestri, Simone Constantinou, Navid C. Ramadhan, Ali Campin, Jean-Michel Hill, Chris Chor, Tomas Strong-Wright, Jago Lee, Xin Kai Poulin, Francis Souza, Andre Burns, Keaton J. Bishnu, Siddhartha Marshall, John Ferrari, Raffaele Atmospheric and Oceanic Physics Computational Physics Fluid Dynamics We describe the user interface, governing equations, and numerical methods underpinning the community ocean modeling software called "Oceananigans". Oceananigans development has been lead by the Climate Modeling Alliance to build a trainable climate model with quantifiable uncertainty. Oceananigans is written in the Julia programming language, which, like similar recent efforts based on modern programming languages, distinguishes it from usual software based on Fortran. Oceananigans can efficiently simulate all scales of ocean motion, ranging from millimeter-scale turbulence in a small box to planetary-scale ocean circulation. Oceananigans design combines (i) a basic structured finite volume algorithm (ii) optimized for high-resolution simulations on GPUs which is (iii) exposed behind a high-level, programmable user interface. This design negotiates a dual mandate for highest-possible performance (to support state-of-the-art applications) and enhanced accessibility (to facilitate adoption and development). The dual mandate aims ultimately to accelerate the progress of Earth system science. Achieving this aim, however, requires a substantial and sustained increase in the collective effort of Oceananigans development. |
| title | High-level, high-resolution ocean modeling at all scales with Oceananigans |
| topic | Atmospheric and Oceanic Physics Computational Physics Fluid Dynamics |
| url | https://arxiv.org/abs/2502.14148 |