Tackling data challenges and incorporating physics into machine learning models will help unlock the potential of artificial intelligence to answer Earth science questions.
Data management
Tackling 21st Century Geoscience Problems with Machine Learning
A new cross-journal special collection invites contributions on how machine learning can be used for solid Earth observation, modeling and understanding.
The First Undeniable Climate Change Deaths
In 2018 in Japan, more than 1,000 people died during an unprecedented heat wave. In 2019, scientists proved it would have been impossible without global warming.
Weathering Environmental Change Through Advances in AI
Developing trustworthy artificial intelligence for weather and ocean forecasting, as well as for long-term environmental sustainability, requires integrating collaborative efforts from many sources.
Preparing for a Handoff
Scientists with Interstellar Probe, a proposed 50-year flight to interstellar space, are pondering how to plan and carry out a multigenerational mission.
Creating Data Tool Kits That Everyone Can Use
Earth scientists outline challenges to making the growing wealth of available data more accessible and to using data services for interdisciplinary research and applications.
Climate Data You Can Trust
Creating, curating, and developing the repository of climate data that underlies the U.S. National Climate Assessments requires the ongoing efforts of hundreds of experts.
How Conflict Influenced Land Use in Colombia
Researchers use new maps and statistical techniques to infer how armed conflict influenced land cover in the understudied Caribbean region of the country.
Exposing Los Angeles’s Shaky Geologic Underbelly
Current calculations might underestimate the susceptibility of Los Angeles to earthquake shaking, so researchers and volunteers are deploying seismic networks near the city to remedy a data shortage.
Ocean Observations for Everyone
As the ocean observation community expands its research enterprise, it needs to better engage the end users of its data.
