New research shows that though marine cloud brightening holds potential to temporarily reduce heat stress regionally, the technique has unpredictable and far-reaching outcomes.
Modeling
Posted inFeatures
Sarah Minson: A Collaborative Quake Career
A geophysicist thrives on teamwork at the U.S. Geological Survey.
Posted inFeatures
Alexander Farnsworth: Finding Fact in Climate Fiction
A paleoclimatologist uses his modeling skills for both science and sci-fi.
Posted inEditors' Highlights
Equation Discovery for Subgrid-Scale Closures
Machine learning can discover closure equations for fluid simulations. A new study finds that common algorithms rediscover known, unstable closures, which can be stabilized with higher-order terms.
Posted inEditors' Highlights
Unveiling the Origins of Dome Craters on Ganymede and Callisto
Large craters with broad central domes are a unique crater morphology on Jupiter’s largest icy moons: Ganymede and Callisto. A new study examines how remnant impact heat may lead to their formation.
Posted inEditors' Highlights
Need for Better Accounting of CFC-12 Emissions from China
New observations show that bottom-up tracking of CFC-12 emissions from China are underestimated, illustrating the need for better accounting for reductions from the Montreal Protocol.
Posted inEditors' Highlights
Ocean Impacts on European Winter Weather
State-of-the-art high-resolution models are needed to reveal the ocean’s role in driving extra-tropical weather systems.
Posted inNews
The Size of the Great Salt Lake Affects Storm Precipitation
Utah’s most famous body of water is shrinking, and storms might deliver less precipitation than normal if that trend continues.
Posted inResearch Spotlights
Tracing Millions of Years of Geologic Stress in the Andean Plateau
Paleostress modeling shows how a region of the Andean Plateau was uplifted and formed beginning more than 20 million years ago.
Posted inEditors' Highlights
Physics + Machine Learning Provide a Better Map of Ocean Measurements
A new study offers a compelling example where the merger of dynamical modeling, machine learning, and ocean measurements enhances oceanographic understanding, monitoring, and mapping.