Improving Earth System Predictability with Artificial Intelligence – AI4ESP in SIAM News
A multi-lab Artificial Intelligence for Earth System Predictability (AI4ESP) initiative, spearheaded by the Earth and Environmental Systems Science Division (EESSD) of the Office of Biological and Environmental Research (BER), is gaining attention in the media.
Recently published in SIAM News is an article by Sven Leyffer and Salil Mahajan on the use of artificial intelligence (AI) and machine learning (ML) tools in ESMs as surrogates for localized, small-scale, complex physical processes in order to drive higher-fidelity predictions within the overall system.
An outline of several examples of ways in which AI and ML are currently impacting ESMs is describe in the article:
This article is a part of the E3SM “Floating Points” Newsletter, to read the full Newsletter check:
