Scientists developed a new model to help water utility companies minimize weather-based disruptions to clean water access.
Modeling
Posted inNews
Wind Could Power Future Settlements on Mars
Using a sophisticated global climate model adapted to Mars, space scientists explore the hidden potential of wind energy on the Red Planet.
Posted inNews
Small Shrubs May Have Played a Large Role in Decarbonizing the Ancient Atmosphere
Vascular plants may have contributed to shaping Earth’s atmosphere long before trees evolved.
Posted inEditors' Vox
Rare and Revealing: Radiocarbon in Service of Paleoceanography
While radiocarbon is best known as a dating tool, this rare isotope can also provide unique and wide-ranging insights into the cycling of carbon in the Earth system.
Posted inFeatures
Baked Contacts Focus a Lens on Ancient Lava Flows
Two studies, conducted 40 years apart, show how combining field observations and thermal modeling can reconstruct the history of massive lava flows and how they altered the surrounding landscape.
Posted inResearch Spotlights
El agua subterránea se repone mucho más rápido de lo que pensaban los científicos
Un nuevo modelo basado en el clima indica que los científicos podrían haber subestimado la importancia del agua subterránea para mantener los ríos y la vida vegetal.
Posted inEditors' Highlights
Global Models Underestimated Groundwater Recharge and Discharge
A new estimate for global groundwater recharge by rainfall and snowmelt, which dictates the upper limit of sustainable groundwater use, doubles the previous estimates from global models.
Posted inEditors' Highlights
Playing Bricks with Neural Networks to Learn Sorption Processes
Designated neural network modules are combined to mimic numerically-discretized diffusion-sorption equations, which allows learning “missing pieces” in system understanding and their uncertainties.
Posted inEditors' Highlights
Interactive Learning for Better AI-Based Subgrid-Scale Modeling
A study shows that interactive learning can significantly enhance the performance of artificial intelligence-based parameterization of small-scale processes, a critical component of climate models.