The use of artificial intelligence (AI) to help collect, understand and analyze large sets of information has the potential to revolutionize our ability to observe, understand and predict processes in the Earth’s systems.
Researchers and scientists are working together to apply AI and modeling techniques such as machine learning (ML) to advance Earth and environmental science. Specifically, a group of scientists and experts aims to integrate modern technology in the work of Earth system models, observations and theory — as well as to provide computational capabilities that can deliver speed, accuracy and more-informed, agile decision-making.
In a collaborative effort between the U.S. Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) and DOE’s Advanced Scientific Computing Research program, as well as with community experts, the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop was held from October through December 2021. The five-week virtual workshop explored the challenges and development of an infrastructure that would best integrate a combination of technological capabilities and human activities in the field and laboratories with computational resources. BER developed the process as the “Model-Experiment” paradigm, or ModEx.