News
AI4ESP workshop report and results featured in U.S. Department of Energy article
A new U.S. Department of Energy (DOE) article recognizes the outcomes and potential for artificial intelligence (AI) to radically advance prediction capabilities in the future. The AI4ESP executive summary of the report is available on this website.
The workshop report summarizes discussions from over 740 participants from 178 institutions! From October – December 2021, participants discussed how AI can enhance Earth system predictability across field, lab, modeling, and analysis activities. Results of this workshop are summarized in the executive summary, which accompanies a large full report with a workshop summary and section report for each session held.
AI4ESP recently concluded a 17-session workshop to capture the collective knowledge of the scientific community
The U.S. Department of Energy, Office of Science, Biological and Environmental Research (BER) and Advanced Scientific Computing Research (ASCR) offices recently embarked on a planning project called Artificial Intelligence for Earth System Predictability (AI4ESP). Aimed at unleashing the power of AI to advance Earth system predictability, AI4ESP recently concluded a 17-session workshop to capture the collective knowledge of the scientific community as to what advancements are necessary to enable this.
The team behind AI4ESP held a virtual AGU town hall to provide a first take on the goals, progress, and emerging themes from the workshop. The virtual town hall took place at 11:15 CT on Thursday, December 9 (AGU session TH032). All attending the AGU Fall Meeting and town halls were welcome and encouraged to participate in the discussion. A similar town hall will be held at the American Meteorological Society meeting in January 2022. Town halls and panels of this nature provide an opportunity to engage with the project and more methods to engage and learn are provided through this website (www.ai4esp.org).
Download the AGU Town Hall Slides (5 MB PDF)
The U.S. Department of Energy (DOE) launches the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop
To improve climate simulations, scientists are looking to the potential of artificial intelligence (AI). AI has offered profound insights in fields from materials science to manufacturing, and climate researchers are excited to explore how AI can be used to revolutionize how the Earth system, and especially its water cycle, can be simulated in order to dramatically improve our understanding and representation of the real world. In particular, AI offers the potential to dramatically increase the accuracy of predictions down to the scales of interest to scientists, and even stakeholders focused on designing, financing and deploying equitable climate solutions to America’s most disadvantaged communities.
Motivated by this opportunity, the U.S. Department of Energy (DOE) is launching a comprehensive workshop: Artificial Intelligence for Earth System Predictability (AI4ESP). After the collection of more than 150 white papers from the scientific community, AI4ESP is kicking into high gear by hosting a workshop beginning October 25. The workshop will include 17 sessions over a six-week period designed to create a new scientific community that marries climate research with artificial intelligence, applied math and supercomputing.
