Scientists present a probabilistic framework for exploiting airborne geophysical data for groundwater model parameterization and apply it to the Scott River aquifer system in Northern California.
Water Resources Research
Posted inResearch Spotlights
A High-Resolution Look at Singapore’s Water Budget
Simulations that account for nuanced interplay between hydrological and plant processes could help guide urban water management.
Posted inEditors' Highlights
Streamflow From Generative AI
The trifecta of predicting, assimilating, and downscaling streamflow has arrived with generative diffusion AI models.
Posted inEditors' Highlights
Model of Complex Blanket Bog Improves Prediction of Peat Expansion
Peat expansion is tightly coupled to the global climate cycle. As a nature-based solution to climate change, we need to know how they will respond to different climate scenarios.
Posted inResearch Spotlights
Improving Eddy Tower Evapotranspiration Estimates
Understanding evapotranspiration rates is important. A new technique aims to make their calculation more efficient.
Posted inEditors' Highlights
Let’s Not Forget About Long Droughts
Why do conceptual hydrologic models struggle to model long-term droughts? A new study investigates.
Posted inResearch Spotlights
How Wildfires Worsen Flood Risk
A new approach to analyzing watersheds shows how storms occurring after a wildfire can have higher flooding risk than similar storms that occurred before a fire.
Posted inEditors' Highlights
Robustness Through Diversity: Learning from Heterogeneous Aquifers
Learning from diverse aquifer structures, which are all over the place, leads to robust inverse methods.
Posted inResearch Spotlights
A Road Map to Truly Sustainable Water Systems in Space
Future astronauts need efficient, durable, and trustworthy closed-loop systems to provide water for missions lasting months to years.