weathering

• A taxonomy of bias: sensemaking, heretical physics, and the Tom Hanks/Bill Murray multiverse

  Bias has a pretty well-known definition in the world of AI/ML programming. But today’s paper asks us to expand that definition and consider how cultural, organizational, and human forces can intersect...

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• Determinism is dead, chaos reigns, and the night is long

  While staring into uncertainty might sound abyssal and frightening, ensemble models have proven (to us, at least) that this isn’t the case. In today’s episode, we’re exploring two papers with...

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• NeuralGCM and the Hybrid Approach

  Machine learning dominates the conversation, but what will happen to the centuries-old physical equations that built our understanding of the atmosphere? How are the two approaches at odds? How might...

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• End-to-end data-driven weather prediction

  Where does the end begin? Where does the end end? And what the HELL is happening in the middle? These are some of the questions we tackle in this episode as we explore Aardvark Weather, an end-to-end...

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• The limits of predictability

  How far into the future can we actually predict the weather? Typically, this question is rhetorical, a slight (or smite⚡) against meteorologists everywhere after someone’s wedding gets rained out. But...

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