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.
data management
Posted inEditors' Highlights
Uncertainty Propagation in Paleomagnetic Data Quantified
In classic paleomagnetic data processing uncertainties are calculated at a single level only, but there is now a more lucid way to include error propagation.
Posted inOpinions
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.
Posted inAGU News
The Rise of Machine Learning
Our August issue explores the way we process, analyze, and clearly present the massive amounts of information collected by scientists today.
Posted inFeatures
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.
Posted inOpinions
Do You Know Your Home’s Flood Risk?
Search for your address in this new database and get an easy to understand indicator of the potential for flooding now and over the next several decades as climate change alters our environment.
Posted inNews
Teaching Machines to Detect Climate Extremes
Artificial intelligence can be used to analyze massive amounts of data from climate simulations, but more training data are needed.
Posted inNews
Hackathon Participants Solve Global Problems—from Home
More than 200 participants from 38 countries joined the virtual INSPIRE Hackathon to solve problems in food security, transportation, and more.
Posted inNews
The Future of Big Data May Lie in Tiny Magnets
New research in the field of neuromorphic computing uses tiny magnets and their magnetic fields to optimize computing algorithms.
Posted inScience Updates
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.