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Experiment shows that even large, old, and presumably stable stores of soil carbon are vulnerable to warming and could amplify climate change.
AI reveals relationships between weather systems and cloud physics.
Using a novel combination of advanced research techniques, scientists show how the roots of various tropical plants react to harsh conditions.
Warming stimulates methanogenesis fueled by the release of plant metabolites.
Cloud microphysics affect precipitation extremes on multiple time scales in climate models.
Researchers used deep learning methods to estimate the subsurface permeability of a watershed from readily available stream discharge measurements.
Monitoring data find that small spatial differences in snow cover, vegetation, and other factors shape how permafrost thaws.
A bottom-up approach quantifies the contributions of human-caused heating from building energy use during extreme heat events.
Computational work uses a Chicago neighborhood to understand and quantify climate effects on building energy use from changes in urban design.
A new way of representing river-groundwater exchanges paves the way for next-generation river network modeling.
Researchers find that fungal spores are most abundant during initial growth, while bacteria predominate during flowering and fruit development.
Machine Learning offers New Insights and New Parameterization for the path from Drizzle Drops to Warm Rain
