Interdisciplinary Researchers Win Best Paper Award for Climate Modeling Breakthrough at Neural Information Processing Conference, US

An interdisciplinary group of researchers from various institutions, including UC Irvine’s School of Physical Sciences and Donald Bren School of Information and Computer Sciences, has recently won a prestigious award for their paper on machine learning climate simulation datasets. The team received the top prize in the dataset category at the 37th Conference on Neural Information Processing Systems in New Orleans. Their publication, titled ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation, introduced ClimSim, a groundbreaking climate modeling tool designed specifically for enhancing physics research with machine learning. The researchers aim to address the challenges posed by integrating physics and machine learning by providing accessible training data and user-friendly workflows. Michael Pritchard, co-author and UCI professor of Earth system science, expressed their hopes that ClimSim will contribute to the development of high-fidelity climate simulators in the research community. The project marks an exciting milestone in the field of climate science and artificial intelligence, opening doors to new possibilities in understanding and addressing climate change.