Numerical modeling is one of the pillars of ocean and climate science, and numerical simulations of ocean processes are critical for climate projections. Fortunately, recent rapid progress in computational tools — driven by AI — holds massive potential for accelerating numerical model development, and therefore progress in ocean and climate science. But this potential isn’t yet realized because traditional models can’t use AI hardware, don’t benefit from new programming tools and languages designed to accelerate AI model development, and can’t solve the full breadth of emerging ocean modeling problems. Enter Oceananigans — a popular, next-generation, GPU-accelerated ocean modeling framework developed…
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The first-ever Oceananigans town hall at Ocean Sciences Every other February, oceanographers from around the world congregate to share new scientific insights, and tales of adventure on the high seas at AGU’s Ocean Sciences Meeting. But this February was a little different than past even-yeared Februaries — not only because oceanographers gathered virtually, but also because in 2022 the Climate Modeling Alliance unveiled their experimental ocean model to the world: Oceananigans. Oceananigans is Fast: Oceananigans is GPU-accelerated and compiled, and leverages multiple dispatch to run “minimal code” for any user experiment. Friendly: Oceananigans uses an intuitive, flexible, and extensible user…
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