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- W2908643140 abstract "claire monteleoni gavin schmidt and shailesh saroha climate models are complex mathematical models designed by meteorologists geophysicists and climate scientists to simulate and predict climate given temperature predictions from the top 20 climate models worldwide and over 100 years of historical temperature data we track the changing sequence of which model currently predicts best we use an algorithm due to monteleoni and jaakkola that models the sequence of observations using a hierarchical learner based on a set of generalized hidden markov models hmm where the identity of the current best climate model is the hidden variable the transition probabilities between climate models are learned online simultaneous to tracking the temperature predictions on historical data our online learning algorithm s average prediction loss nearly matches that of the best performing climate model in hindsight moreover its performance surpasses that of the average model prediction which was the current state of the art in climate science the median prediction and least squares linear regression we also experimented on climate model predictions through the year 2098 simulating labels with the predictions of any one climate model we found significantly improved performance using our online learning algorithm with respect to the other climate models and techniques" @default.
- W2908643140 created "2019-01-25" @default.
- W2908643140 date "2018-01-01" @default.
- W2908643140 modified "2023-09-27" @default.
- W2908643140 title "TRACKING CLIMATE MODELS" @default.
- W2908643140 hasPublicationYear "2018" @default.
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