Many oceanic properties are not directly observed but are instead estimated using proxy measurements. A new method uses physics-based correlations to reduce uncertainty in this relationship.Read More »Mathematical Geophysics
New methods that help researchers understand the decision-making processes of neural networks could make the machine learning tool more applicable for the geosciences.Read More »Mathematical Geophysics
Sea ice area in CMIP6 is similar to previous versions while its sensitivity to external forcing is subtly different and closer to observations, but still not in step with global surface temperature.Read More »Hydrology, Cryosphere & Earth Surface
Machine learning and data on aquifer type, sediment thickness, and proxies for irrigation water use has been used to produce the most comprehensive map of land subsidence in the western U.S. to date.Read More »Mathematical Geophysics
As weather and climate models grow larger and more data intensive, the amount of energy needed to run them continues to increase. Are researchers doing enough to minimize the carbon footprint of their computing?Read More »
Developing trustworthy artificial intelligence for weather and ocean forecasting, as well as for long-term environmental sustainability, requires integrating collaborative efforts from many sources.Read More »
Our August issue explores the way we process, analyze, and clearly present the massive amounts of information collected by scientists today.Read More »Planetary Sciences
Humans found hundreds of thousands of craters on Mars greater than 1 kilometer in diameter, but now computers automate the process delivering crater counts as well as geologically meaningful ages.Read More »Climate Change
Long before we had satellites beaming terabytes of data back to Earth, we had covert spacecraft the size of school buses snapping photos on rolls of film 50 kilometers long.Read More »
