Advanced statistical model found to better predict El Niño, UW research says
The first of the Atmospheric and Oceanic Sciences colloquium series began Sept. 25 spotlighting University of Wisconsin professor Daniel Vimont’s summer research. Vimont developed stochastic-dynamic models to understand and predict the 2023 El Niño event. According to the International Encyclopedia of the Social and Behavioral Science, stochastic-dynamic models are designed based on the continuous noise … Continue reading Advanced statistical model found to better predict El Niño, UW research says
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