Atmospheric aerosols and clouds

Analysis of warm-season ozone and secondary aerosol formation in the Guanzhong Basin reveals sub-seasonal regime shifts, with traffic and industrial emissions driving both pollutants.

Evaluation of UKESM1.1 against ATom aircraft data reveals missing marine aerosol formation pathways involving iodine, amines, and organic vapours in remote regions.

Entropy-based analysis of aerosol mixing state and CCN activity reveals distinct seasonal and geographic patterns, with heightened sensitivity in externally-mixed regimes at inland and coastal sites.

Analyze seasonal aerosol variations at coastal boundaries using global AERONET data. Machine learning identifies four distinct aerosol regimes with pronounced seasonal patterns and spectral.

Study reveals accelerated north-east shift in global green wave trajectory, indicating restructured vegetation phenology and hemispheric productivity changes through 21st century.

A rapid satellite-based methodology quantifies radiative forcing from high-altitude ice clouds and contrails using geostationary observations with 15% accuracy.

Study uses cloud seeding experiments and deep learning to identify ice crystal concentration as the dominant factor controlling aggregation rates in supercooled clouds, with implications for.

Study quantifies how free-tropospheric Saharan dust over the North Atlantic modulates low-level cloud cover via longwave-induced cloud-top warming that counteracts shortwave-driven cloud enhancement.