A bottom-up modeling approach could bring scientists closer to understanding communities of microbes in the atmosphere.
everything atmospheric
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Exoplanet Triggers Stellar Flares and Hastens Its Demise
HIP 67522 b can’t stop blasting itself in the face with stellar flares, a type of magnetic interaction that scientists have spent decades looking for.
Posted inFeatures
Stacey Hitchcock: From Fearing Storms to Seeking Them
This atmospheric scientist digs into the details of storms to help keep people safe.
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Jeff Massey: Atmospheric Science Meets the Private Sector
Expertise in weather modeling has applications in business, this atmospheric scientist found.
Posted inEditors' Highlights
Midlatitude Storm Dynamics Better Explained by Lagrangian Analysis
Examining the growth of storms using ERA-5 reanalysis data reveals a nonlinear relationship between baroclinicity and storm activity under extreme conditions.
Posted inEditors' Highlights
Defining the Tropopause in Chemical Transport Models
Synthetic tracers are useful in defining the chemically-heterogeneous tropopause in chemical transport models, especially where more traditional gradient-based tropopause methods may be lacking.
Posted inEditors' Highlights
Earth’s Energy Imbalance is Growing Faster Than Expected
Satellite observation of the imbalance between incoming and outgoing radiation in the atmosphere, which causes global warming, shows growth beyond what climate models have predicted.
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A New Satellite Material Comes Out of the Woodwork
With lessons learned from their first attempt, Kyoto University scientists hope a second CubeSat made of magnolia will spark an age of wooden spacecraft.
Posted inEditors' Highlights
The Mid-20th Century Winter Cooling in the Eastern U.S. Explained
A new analysis of historical jet stream behavior reveals that increases in jet stream waviness accounted for 55-71% of winter cooling in the eastern United States from 1958 to 1988.
Posted inEditors' Highlights
ARMing SCREAM with Observations to Expose Cloud Errors
Modern ARM observations expose persistent process-level errors in a global cloud-permitting model, guiding future developments and improvements.