Laboratory experiments and grain-scale computer simulations during the past decade have led to a more universal understanding of flow-driven sediment transport across flows in oil, water, and air.
Modeling
Posted inResearch Spotlights
How Much Modification Can Earth’s Water Cycle Handle?
The planetary boundaries framework defines how much human disturbance various Earth system processes can take, but it may not adequately depict the water cycle or the extent to which we’ve altered it.
Posted inResearch Spotlights
A Revised View of Australia’s Future Climate
The most recent generation of models of the Coupled Model Intercomparison Project better captures rainfall drivers, extreme heat events, and other facets of regional climate.
Posted inNews
Una Guerra Nuclear Podría Generar un “Niño Nuclear”
Una sacudida al sistema climático provista por una guerra nuclear podría provocar un fenómeno de el Niño como nunca habíamos visto.
Posted inNews
Groundwater Is the “Hidden Connection” Between Land and Sea
The importance of fresh groundwater to coastal ecosystems is revealed using the first computer model at a global scale.
Posted inEditors' Highlights
How Fast Did an Ancient Martian Delta Form?
Terrestrial meander migration rates are used to estimate a formation timescale of decades for Jezero delta on Mars.
Posted inNews
Looking Back at Our Pale Blue Dot
Astronomers model changes in Earth’s chemical signature over the past 4 billion years to improve the search for Earth-like exoplanets.
Posted inNews
Mountain Streams Exhale More Than Their Share of CO2
Streams that flow down mountainsides are more turbulent than those that run along forest floors, which leads to faster gas exchange between water and air.
Posted inNews
The Art of Volcanic Ash Modeling 10 Years After Eyjafjallajökull
The ash plumes from the eruption of the Icelandic volcano in 2010 disrupted air travel in Europe for several weeks. Since then, scientists have developed models to mitigate ash’s impacts.
Posted inResearch Spotlights
An Element of Randomness in Modeling Arctic Ice Cover
Incorporating random variation of temperature, humidity, and wind offers a computationally cheap alternative to improving resolution in an Earth system model when predicting when Arctic sea ice will disappear.