一项新研究表明，来自植物木质部的化学同位素可以帮助改善森林水循环的表征。
Modeling
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.
Posted inResearch Spotlights
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.
Posted inEditors' Highlights
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.
Posted inEditors' Highlights
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.
