Explainable AI for Climate Science with Elizabeth Barnes

Tune into our webinar series, SIAM MPE Community Meetings, organized by the SIAM Activity Group on Mathematics of Planet Earth: https://www.siam.org/membership/activity-groups/detail/mathematics-of-planet-earth. This presentation was led by Elizabeth A. Barnes, Colorado State University, who discussed the use of AI in Climate Science in her talk: Explainable AI for Climate Science: Opening the Black Box to Reveal Planet Earth Abstract: Earth's climate is chaotic and noisy. Finding usable signals amidst all of the noise can be challenging: be it predicting if it will rain, knowing which direction a hurricane will go, understanding the implications of melting Arctic ice, or detecting the impacts of humans on the earth's surface. Here, I will demonstrate how explainable artificial intelligence (XAI) techniques can sift through vast amounts of climate data and push the bounds of scientific discovery: allowing scientists to ask "why?" but now with the power of machine learning. #webinarseries #WeatherModeling #ClimateModeling #atmosphericscience #weatherpredictions #climatescience #meteorology #environmentalscience #ScientificResearch #weatherforecast #climatechange #ScienceWebinar #TimeIntegration