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Science Analytics and Synthesis (SAS)

Science Analytics and Synthesis (SAS) emphasizes a science data lifecycle approach to Earth systems data and information. We strive to accelerate research and decision making through data science, information delivery, advanced computing, and biodiversity analytics.

News

American Bullfrog Acoustics and High-Performance Computing

American Bullfrog Acoustics and High-Performance Computing

USGS supercomputers help assess volcanic hazards in support of community resilience

USGS supercomputers help assess volcanic hazards in support of community resilience

First USGS Supercomputer Decommissioning makes way for Successors

First USGS Supercomputer Decommissioning makes way for Successors

Publications

Seeing is believing: Livestream video monitoring of Hawaiian eruptions Seeing is believing: Livestream video monitoring of Hawaiian eruptions

Livestream video has become a crucial tool for volcano monitoring in recent years, building upon the use of webcam snapshots that have been common for the past two decades. In Hawaii, livestream video was first tested in 2018, and today, livestream video is a vital tool for the Hawaiian Volcano Observatory and partner agencies (National Park Service and Hawaiʻi County Civil Defense) as...
Authors
Matthew R. Patrick, Ken Hon, William Tollett, Thomas-Jon Kekoa Hiroaki Hoomanawanui, Katie Mulliken, Tim R. Orr, Michael P. Poland, Kevan Kamibayashi, S. Miki Warren, Seth Swaney, Edward F. Younger, Albert Kamakeʻeaina, Steven Fuke, R. Lopaka Lee, Michael H. Zoeller, Scott R Horvath

The path to FAIR research models: Lessons learned The path to FAIR research models: Lessons learned

Numerical modeling of Earth surface processes emerged as an important scientific tool in the late 1960s to mid-1970s, driven by the development of finite element methods in computer science. These advancements, initially applied in civil engineering, enabled scientists to simulate complex geological phenomena. At that time, models were often only described in publications, access was...
Authors
Albert Kettner, Leslie Hsu, Brandon Serna

Artificial intelligence strategy for the U.S. Geological Survey Artificial intelligence strategy for the U.S. Geological Survey

Artificial intelligence (AI) can offer opportunities to enhance the science, science delivery, and business operations of the U.S. Geological Survey (USGS). Although USGS staff have proactively adopted AI into our workflows for many years, a comprehensive USGS strategy for AI has not previously been developed. The strategy described here is motivated by the acceleration of AI...
Authors
Janice M. Gordon, Alison P. Appling, Alfredo Aretxabaleta, John F. Bechtell, Thomas E. Burley, Janet M. Carter, Peter C. Esselman, Jason C. Fisher, Graham W. Lederer, James M. Mitchell, Neal J. Pastick, Jake Weltzin, Tim Woods
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