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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

CDI projects highlighted at the Earth Science Information Partners (ESIP) July Meeting

CDI projects highlighted at the Earth Science Information Partners (ESIP) July Meeting

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

Publications

A dataset of fluvial fish richness metrics for stream reaches across the conterminous United States A dataset of fluvial fish richness metrics for stream reaches across the conterminous United States

Fluvial fishes, those primarily inhabiting rivers and streams, are facing substantial threats in their native ranges from habitat degradation which contributes to decreases in richness and abundance of many species. Because distributions of fluvial species are often not well developed across large spatial scales, the ability to understand the consequences of threats is limited. Species
Authors
Daniel J. Wieferich, Hao Yu, Mark T. Wiltermuth, Wesley Daniel, Jared Ross, Arthur R. Cooper, Dana M. Infante

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
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