Diving into the science behind river color and its relationship with flow.
Editors’ Highlights
Posted inEditors' Highlights
New Moonquakes from Old Data
Almost 50 years after they were turned off, the Apollo seismometers still have secrets to reveal.
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Buffering by Ammonia Sustains Sulfate Aerosol Production
A new method for evaluating the role of multiphase buffering and acidification reactions on aerosol pH finds that the buffering effect sustains sulfate production from high pH-favored multiphase reactions.
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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.
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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.
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Faults Along Salt Walls Are Less Stressed in the Paradox Basin
Based on an extended stress database, scientists observe systematic changes in the tectonic stress state and a reduction in fault reactivation potential near salt walls in the Paradox Basin.
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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.
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Publishing is Stressful: What Can We Do About It?
AGU’s editors address how rapidly evolving expectations, the culture of metrics, and the expansion of for-profit journals stress authors, reviewers and editors – and how to change this dynamic.
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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.
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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.