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A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling
As machine learning and artificial intelligence find their way into nearly every aspect of climate, weather, and Earth system modeling, it is worth pausing to consider what our design decisions imply for the science and for the computational resources we consume. A growing body of literature address
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