Samuel E. Muñoz, “Prioritizing Quality Before Synthesis in Paleoenvironmental Hazard Science”
Samuel E. Muñoz, “Prioritizing Quality Before Synthesis in Paleoenvironmental Hazard Science”
Accounting for the total energy budget of Earth’s ecosystems has real-world implications for water resource management, land use policy, and monitoring of crop conditions.
Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and shows which uncertainties matter for real-world decisions.
By modeling toxic diatoms and coastal processes, scientists have discovered the degree to which nutrients from Southern California’s densely populated coast affect these blooms.
Last weekend, flash flooding in the Grand Canyon killed two, left one missing, and forced dozens to evacuate. On Monday, the National Park Service shared that approximately 40% of the Transcanyon Waterline—the national park’s only water pipeline—had been damaged or destroyed.
A 2001 model predicts trace element distributions in melts and residues of open-system mantle melting and melt migration. New software lets anyone apply this model despite its complex equations.
Rock physics models translate geophysical measurements into volumetric rock and fluid properties to quantify weathering trends, water storage, and architecture within Earth’s critical zone.
Satellite data have revealed an abrupt drop in aquifers’ ability to recharge after the 2020–2022 drought. More real-time monitoring could spot the issue before it arises again.
By combining conventional process-based and atmospheric inversion modeling with machine learning, scientists home in on a more realistic methane model.
Transnational, multiproxy, and interdisciplinary datasets locate seismic hazard and show that slow-rate tectonic and deglaciation deformation overrate mantle processes in the Southern-Eastern Alps.
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