This report documents the proceedings and results from the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop. The goals of this workshop were to explore more radically and aggressively advance prediction capabilities in the climate, Earth, and environmental sciences through the use of modern data analytics and artificial intelligence.
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Description
This report documents the proceedings and results from the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop. The goals of this workshop were to explore more radically and aggressively advance prediction capabilities in the climate, Earth, and environmental sciences through the use of modern data analytics and artificial intelligence.
Physical Description
408 p.
Notes
Abstract: In October 2021, the U.S. Department of Energy (DOE) welcomed participants to the Artificial Intelligence for Earth System Predictability (AI4ESP) Workshop, hosted by the Office of Biological and Environmental Research (BER)—Advanced Scientific Computing Research (ASCR). The workshop is part of BER-ASCR’s ambition to more radically and aggressively advance prediction capabilities in the climate, Earth, and environmental sciences through the use of modern data analytics and artificial intelligence (AI). Advances in these capabilities are needed to improve predictions of climate change and extreme events that provide actionable information for planning and building resilience to their impacts.
This report is part of the following collection of related materials.
Artificial Intelligence (AI) Policy Collection
The Artificial Intelligence (AI) Policy Collection contains open access resources that provide policy overviews, implementation plans, guiding frameworks, and resources for implementing artificial intelligence and machine learning in a wide range of environments. This collection includes documents published by Federal agencies, non-governmental organizations, international, state, and local governments.
Hickmon, Nicki; Varadharajan, Charuleka; Hoffman, Forrest; Wainwright, Haruko & Collis, Scott.Artificial Intelligence for Earth System Predictability: 2021 Workshop Report,
report,
September 1, 2022;
(https://digital.library.unt.edu/ark:/67531/metadc2289487/:
accessed May 25, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.