Atmospheric river variability over the last millennium is primarily driven by north-south displacements in zonal winds induced by the annular modes.
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.
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.
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.
Designated neural network modules are combined to mimic numerically-discretized diffusion-sorption equations, which allows learning “missing pieces” in system understanding and their uncertainties.
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.
New research shows that chemical isotopes from plant xylem can improve representations of the forest water cycle.
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.