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.
Climate Change
Nonscientists Struggle to Separate Climate Fact from Fiction
People were much worse at identifying false statements about climate change than about general science, and they were overly confident in their answers.
Ocean Gyres Observed to Move Poleward
Basin-wide ocean gyres have been observed to be slowly migrating toward the poles and, although natural variations contribute, climate simulations suggest the shift is in response to global warming.
Urban Heat Islands Are Warming the Arctic
Even in the remote high latitudes, a new satellite study sees rising temperatures and spreading green belts around cities, with big impacts on soils and ecosystems.
Arctic Coast Erosion Linked to Large-Scale Climate Variability
Changes in rates of Arctic coastal erosion detected from multi-decadal measurements are attributed to the shorter duration in the winter sea ice coverage and large-scale changes in the wind patterns.
Carbon Cycling in the World’s Deepest Blue Hole
Scientists find new extremes as they research carbon cycling in the Yongle blue hole.
El Compostaje Humano es el Camino Ecológico a Seguir
Nuestro impacto ambiental no desaparece cuando morimos, pero existe una forma de convertir este impacto en algo positivo.
Tracking Trace Elements Across the Arctic Ocean
Researchers used data from a pan-Arctic survey of carbon and trace elements to better understand how climate change will affect primary production in one of the fastest warming regions of the world.
How Modern Emissions Compare to Ancient, Extinction-Level Events
Researchers find that a pulse of volcanic activity spanning several hundred years released as much carbon dioxide into the atmosphere as anthropogenic emissions projections for the 21st century.
Machine Learning Improves Weather and Climate Models
New research evaluates the performance of generative adversarial networks for stochastic parameterizations.