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.
Modeling
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.
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.
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.
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.
To Estimate Plant Water Use, Consider the Xylem
New research shows that chemical isotopes from plant xylem can improve representations of the forest water cycle.
An Innovative Approach to Model Complex Hurricane Flood Hazards
A new study shows that it is possible to produce regional assessments of how hurricane flood hazards change due to both evolving storm tides and precipitation rates in a warming climate.
A New Approach to Sea Spray Aerosol Production and Prediction
Sea spray aerosols play a critical role in atmospheric processes. A new approach is in strong agreement with observations, paving the way for improved models of atmospheric aerosols of oceanic origin.