Earth system science professor Kate Maher writes about the mechanisms that heat and cool the planet, knowledge she also contributed to Smithsonian's new Hall of Fossils – Deep Time exhibition opening June 8 at the National Museum of Natural History.
Stanford Libraries is now offering researchers analysis-ready images from Planet, a San Francisco based aerospace and data analytics company with "an unprecedented combination of fine spatial resolution and temporal frequency,” David Lobell said.
The geophysics professor has been recognized for his role in the peer-review process, providing in-depth evaluations that greatly improved the final published papers, often over multiple rounds of revision.
Greg Beroza comments on work by his former student, Marine Denolle, PhD '14, who received the 2019 Charles F. Richter Early Career Award for research on ground motion predictions for future earthquakes.
Architecture magazine dezeen features the work of CAW Architects to create an agricultural complex that serves the needs of farmers, students and the community at the O'Donohue Family Stanford Educational Farm.
Geological sciences professor George Hilley discusses teaching "Our National Parks," a two-unit course that includes a weekend field trip to Pinnacles National Park and helps undergraduates build relationships with the land.
Alumna Deepti Singh, ESS PhD '15, an assistant professor at Washington State University, has been named to the 2019 Grist 50! for her innovative solutions to the biggest challenges that face our globe.
Earth system science professor Chris Field is co-chair of a National Academies of Sciences, Engineering, and Medicine (NAS) committee analyzing geoengineering strategies that reflect sunlight to cool Earth.
Energy resources engineering graduate student David McColl writes about the course "ENERGY 203: Stanford Energy Ventures" and what makes it an effective format for developing climate mitigation project ideas.
With a few changes to existing energy operations, Stanford could further reduce its carbon footprint and costs in a model that other large campuses, towns and even cities can benefit from, a new study finds.
Greg Beroza writes about how machine learning offers a new way to use massive amounts of geoscience data to tackle complex, unsolved problems in the context of a March 2019 conference he helped organize.