Skip to Content

AI4ESP: Artificial Intelligence for Earth System Predictability

This multi-lab initiative is developing a new paradigm for Earth system predictability focused on enabling artificial intelligence across field, lab, modeling, and analysis activities. Our priorities are Earth science, computational science and methodology, and programmatic and cultural changes to achieve a multidisciplinary and unified framework.
Keywords artificial intelligence (AI), earth system predictability
TYPE Project
Principal Investigator (PI)
Nicki Hickmon
Lead Institution
Argonne National Laboratory
Other Collaborators
Brookhaven National Laboratory Lawrence Berkeley National Laboratory Lawrence Livermore National Laboratory Los Alamos National Laboratory Oak Ridge National Laboratory Pacific Northwest National Laboratory Sandia National Laboratory
For more information
Other research you might be interested in
Exasheds ExaSheds: Advancing Watershed System Science using Machine Learning and Data Intensive Extreme-Scale Simulation
Ten year average of 1500-2500m ocean current velocity from an E3SM high resolution ocean - sea ice simulation. Current speed is contoured and velocity vectors are shown in white. (Image credit: Luke van Roekel, Los Alamos National Laboratory) ImPACTS: Improving Projections of AMOC and Collapse Through Advanced Simulations
Drought in the Colorado River in Rocky Mountain National Park. (Image by Charuleka Varadharajan, Lawrence Berkeley National Laboratory) iNAIADS: iNtegration, Artificial Intelligence Analytical Data Services for Rivers and Watersheds