Scientists are using a variety of geochemical, geophysical, and numerical methods to study offshore freshened groundwater and better understand its role in the global water cycle.
Modeling
Posted inNews
To Make Better Hurricane Models, Consider Air Pollution
New research uses Hurricane Harvey as a case study to demonstrate the devastating power of aerosols to supercharge tropical storms.
Posted inEditors' Highlights
Predicting the Unique Shape of Craters on Asteroid (16) Psyche
Models link the variety of crater shapes expected on (16) Psyche with the interior structure of this unique asteroid, in preparation for the arrival of the Psyche probe in 2026.
Posted inNews
The Debate over the United Nations’ Energy Emissions Projections
A new study finds the economic factor driving the divergence between emissions trajectories in climate assessments and reality.
Posted inNews
Geologists to Shed Light on the Mantle with 3D Model
The model, which will incorporate 227 million surface wave measurements, could help with everything from earthquake characterization to neutrino geosciences.
Posted inEditors' Highlights
Evaporation Reverses Groundwater Flow and Forms Hyper-Salinity
A numerical model of groundwater-surface water systems shows how floodplain evaporation can reverse stream-groundwater flow and produce strong buoyancy changes associated with salinity.
Posted inResearch Spotlights
A Better Understanding of How the Sun Bends Light
Incorporating the refractive index of the Sun into models of gravitational lensing effects improves agreement with measurements of the phenomenon.
Posted inResearch Spotlights
“Thirstier” Atmosphere Will Increase Wildfire Risk out West
New climate projections could inform long-term wildfire and water resources management strategies in California and Nevada.
Posted inNews
Modeling Groundwater and Crop Production in the U.S. High Plains
Innovative new research by a team of international scholars borrows modeling methods from ecology and applies them to groundwater sustainability.
Posted inResearch Spotlights
Boosting Weather Prediction with Machine Learning
WeatherBench is a data set compiled to serve as a standard for evaluating new approaches to artificial intelligence–driven weather forecasting.