New research shows that though marine cloud brightening holds potential to temporarily reduce heat stress regionally, the technique has unpredictable and far-reaching outcomes.
clouds
Challenges in Evaluating Climate Sensitivity from Climate Models
In recognition of the 50th anniversary of Geophysical Research Letters, the editors showcase an exceptional study published in the journal that investigates the climate sensitivity in CMIP6 models.
Phased-Array Radar Detection of Electrically Aligned Ice Crystals
A new method for observing electrically aligned ice crystals in localized storms can detect the onset of electrification and lightning in developing storms.
Rare “Glory” Possibly Seen on Exoplanet’s Horizon
This rainbow-like atmospheric phenomenon depends on a very specific set of circumstances. It is common on Earth and incredibly rare beyond it.
Tuning Improves High-Resolution Climate Simulations
Tuning parameterizations of turbulent mixing and of the fall velocity of precipitation and cloud ice alleviates long-standing biases in climate simulations.
Low-Level Clouds Disappear During a Solar Eclipse
Cumulus clouds rapidly dissipate as the land surface cools, a finding that has implications for Sun-obscuring geoengineering efforts.
Machine Learning Accelerates the Simulation of Dynamical Fields
Fourier neural operator solvers accurately emulate particle-resolved direct numerical simulations and significantly reduce the computational time by two orders of magnitude.
Using Satellite Observations for Attribution of Radiation Changes
Analysis of infrared satellite measurements identifies the climate response to an increase in greenhouse gases in the atmosphere.
Challenges in Measuring Aerosol Cloud-Mediated Radiative Forcing
Satellites are required for the global measurement of aerosol cloud-mediated radiative forcing, but satellite retrievals of aerosols and cloud properties still have challenges to overcome.
Accounting for Small-Scale Processes in Large-Scale Models
A new book explores how fast processes can be better represented in atmospheric models to improve weather and climate prediction.
