Tag: Atmospheric Science

Aircraft observations from the CAESAR campaign document a closed-to-open cell cloud transition over the Nordic Seas, revealing how high aerosol ...

A deep learning model pretrained on climate simulations accurately forecasts monthly global temperature fields and transfers successfully to observational reanalysis ...

A long-term analysis of AERONET observations from 2012 to 2024 reveals declining urban pollution and shifting atmospheric aerosol optical regimes ...

A global evaluation of CAMS-derived cloud condensation nuclei against 25 ground stations shows strong seasonal skill but systematic supersaturation biases ...

Researchers have introduced AeroMiG, an Inverse-Gamma modeling framework that improves the accuracy and speed of representing complex aerosol particle number ...

A new 12-year dataset from Paris reveals increasing trends in methane and nitrous oxide, while several other trace gases show ...

Atmospheric researchers have developed a time-dependent weighted quantile loss function that curbs systematic underestimation in short-term wind speed forecasts across ...

Satellite-based Doppler radar observations from EarthCARE reveal distinct vertical air motions and cloud microphysical structures across tropical cyclone regions.

Harvard-led researchers have established 500 watt-hours per kilogram as the key battery energy density target for making persistent solar stratospheric ...

Atmospheric scientists have adapted the Kaplan–Meier survival-analysis framework from medical statistics to quantify uncertainty in droplet-freezing experiments and introduced a ...