Biological enhancement of cloud droplet concentrations observed off East Antarctica

IF 8.5 1区地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES

npj Climate and Atmospheric Science Pub Date : 2025-03-20 DOI:10.1038/s41612-025-00990-5

Marc D. Mallet, Branka Miljevic, Ruhi S. Humphries, Gerald G. Mace, Simon P. Alexander, Alain Protat, Scott Chambers, Luke Cravigan, Paul J. DeMott, Sonya Fiddes, James Harnwell, Melita D. Keywood, Greg M. McFarquhar, Ian McRobert, Kathryn A. Moore, Caleb Mynard, Chiemeriwo Godday Osuagwu, Zoran Ristovski, Paul Selleck, Sally Taylor, Jason Ward, Alastair Williams

引用次数: 0

Abstract

The impact that biogenic emissions have on aerosol-cloud interactions across the Southern Ocean is poorly quantified. Here we use satellite and ship observations during austral summer to study these interactions. We present observational evidence that biogenic aerosols increase cloud condensation nuclei and cloud droplet number concentrations over the Southern Ocean off East Antarctica, coinciding with very low concentrations of ice-nucleating particles and higher occurrences of supercooled liquid-containing low-level clouds.

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来源期刊

npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science

CiteScore

8.80

自引率

3.30%

发文量

审稿时长

21 weeks

期刊介绍： npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.