Presentation | NG33B: Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences IV Poster
Poster
NG33B-0428: Can the Generative AI Shark Eat the Entire Data Assimilation System?
Author(s): Matthias Morzfeld, Scripps Institution of Oceanography (First Author, Presenting Author) Daniel Hodyss, US Naval Research Laboratory
We study if methods from machine learning can replace current technology for weather forecasting. We perform a mathematically rigorous study under simplifying assumptions and our conclusion is that machine learning may have a hard time to get to the same accuracy as current forecasting systems.
