By applying simplified equations, scientists cut down on the computation time required to map the surface temperatures of planetary bodies.
Editors’ Highlights
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Trees Shed Their Leaves to Adapt to Droughts
The browning or loss of tree leaves that can be observed during droughts may be a coping mechanism to deal with dry circumstances by avoiding additional water stress.
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Long-Term and Recent Activity of the Brenner Fault Finally Reconciled
A novel application of an established dating method, namely electron spin resonance, provides constraints on the timing and relative movements of the Brenner Fault walls during the Quaternary.
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The Multi-Faceted Water Footprint of Data Centers
Data centers powering artificial intelligence consume significant amounts of water, highlighting the need for greater transparency regarding water use in both existing and planned facilities.
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Next Generation Fluid Flow Solver for Earth System Modeling
A new fluid solver from the Climate Modeling Alliance sets a benchmark in atmospheric modeling, with unmatched consistency in moist thermodynamics, energy conservation, and CPU/GPU scaling.
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Tides Generate Detectable Electrical Signals in Coastal Aquifers
Spontaneous potentials show possibility for monitoring coastal saltwater intrusion.
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Opening a Treasure Trove: A Trip to the Historic Archives of Venus
Before 1989, pre-Magellan orbiter and ground-based exploration of Venus produced significant datasets that will be useful when planning future missions to the planet.
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Robustness Through Diversity: Learning from Heterogeneous Aquifers
Learning from diverse aquifer structures, which are all over the place, leads to robust inverse methods.
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Slow Atmospheric Circulations Shape Storm Tracks and Wave-Breaking Patterns
Connections between fast and slow parts of the atmosphere are analyzed over 35 years to understand the links between storms, weather regimes, and atmospheric wave breaking events.
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Collinearity is Not Always a Problem in Machine Learning
Collinearity is not always a showstopper for statistical machine learning (at least not for self-organizing maps).