Abrupt temperature swings aren’t random—large-scale air mass shifts and seasonal processes drive day-to-day variability across major Northern Hemisphere regions.
everything atmospheric
Toward Marine Cloud Brightening at Scale: A Science Agenda
Marine Cloud Brightening (MCB) is a Solar Radiation Management (SRM) solution to cool the planet by changing the albedo of low-altitude marine clouds to increase reflected shortwave radiation.
Tracing the Path of PFAS Across Antarctica
A new study examines the presence of forever chemicals in one of Earth’s most remote regions.
Weather Radar Data Reveal the Dynamics of Rapidly Spreading Wildfires
New research demonstrates the use of operational weather radar measurements to track long-range ember fallout and rapid spread of intense wildfires.
What Makes Mars’s Magnetotail Flap?
Spacecraft reveal a key driver of up-and-down motions of thin, current-carrying plasma sheets on the nightside of Mars.
Machine Learning Can Improve the Use of Atmospheric Observations in the Tropics
Scientists develop a novel machine learning-based technique that is equally effective in gaining information from observations about the unobserved state variables in the midlatitudes and tropics.
Machine Learning Could Enhance Earth System Modeling
Based on tests of a machine learning-based (ML) hybrid model, combining ML with established physics-based frameworks represents a promising path toward developing ML-based Earth system models.
Resolved Storm-Environment Interactions: Linking Local to Global Scales
Kilometer-scale global climate models offer unprecedented possibilities to simulate thunderstorms and analyze how they interact with their environment across many scales, shaping the climate state.
Distant Cousins? How Field Work on Earth Could Help Us to Better Understand Titan
What do Saturn’s moon Titan and the Earth have in common? Quite a lot as it turns out, from hydrocarbon deposits to polar clouds, lakes and rivers, craters and canyons, and more.
Harnessing Subseasonal-to-Seasonal Predictability from Annual Evolution
Capturing year-to-year variations of the stratospheric polar vortex’s annual evolution enables skillful prediction of subseasonal-to-seasonal (S2S) cold-season anomalies up to six months in advance.
