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UKESM misses key marine aerosol formation pathways

Aerial photograph of a deep blue ocean with scattered white clouds above, showing several small islands or atolls visible in the water and a clear horizon line dividing sky and sea.
Research area:Atmospheric sciencesAtmospheric ScienceAtmospheric aerosols and clouds

What the study found

UKESM1.1 showed different aerosol biases in the upper troposphere and the marine boundary layer, and the pattern pointed to missing aerosol formation pathways in the remote marine atmosphere. The authors report that low aerosol number concentrations persisted even when precursor gases were overestimated, suggesting missing processes.

Why the authors say this matters

The authors conclude that these limitations leave an unbalanced cloud condensation nuclei budget, with too much dependence on primary emissions. The study suggests future model development should prioritize mechanistic representation of currently missing aerosol sources rather than empirical tuning to improve aerosol-climate interaction estimates.

What the researchers tested

The researchers evaluated UKESM1.1 against global aircraft observations from the Atmospheric Tomography (ATom) mission. They assessed aerosol precursor vapours, number size distributions, chemical composition, and environmental conditions, and tested process changes including sulfuric acid-ammonia nucleation, an ammonium nitrate scheme, methanesulfonic acid condensation, and low-temperature isoprene-derived secondary organic aerosol formation.

What worked and what didn't

In the upper troposphere, the model overestimated nucleation and Aitken mode particles and underestimated accumulation mode particles, which the authors interpret as insufficient growth. In the marine boundary layer, it overestimated primary aerosols such as sea salt and precursor gases but still underestimated nucleation and Aitken mode particles, even after updated nucleation and ammonium nitrate schemes were added. Sensitivity tests showed strong influence from dimethyl sulfide emissions and vapour condensation schemes.

What to keep in mind

The abstract does not describe detailed numerical results or observational coverage beyond the ATom mission. It also does not list all limitations, only that missing formation pathways are likely and may involve species such as iodine, amines, and organic vapours.

Key points

  • UKESM1.1 showed different aerosol biases in the upper troposphere and the marine boundary layer.
  • Low aerosol number concentrations persisted even when precursor gases were overestimated.
  • The authors say missing formation pathways may involve iodine, amines, and organic vapours.
  • Updated nucleation and ammonium nitrate schemes did not remove the marine boundary layer underestimation of nucleation and Aitken mode particles.
  • Sensitivity tests showed strong influence from dimethyl sulfide emissions and vapour condensation schemes.

Disclosure

Research title:
UKESM misses key marine aerosol formation pathways
Authors:
Xu-Cheng He, Nathan Luke Abraham, Han Ding, M. R. Russo, Daniel P. Grosvenor, Yao Ge, Xuemei Wang, Anthony C. Jones, Pedro Campuzano-Jost, Benjamin Nault, Agnieszka Kupc, Donald Blake, Jose L. Jimenez, Christina Williamson, James Weber, Alexander Archibald, Hamish Gordon
Institutions:
Aerodyne Research, Carnegie Mellon University, Carnegie Mellon University, Carnegie Mellon University, Carnegie Mellon University, Cooperative Institute for Research in Environmental Sciences, Cooperative Institute for Research in Environmental Sciences, Finnish Meteorological Institute, Finnish Meteorological Institute, Johns Hopkins University, Met Office, National Centre for Atmospheric Science, National Centre for Atmospheric Science, National Centre for Atmospheric Science, National Centre for Atmospheric Science, Royal Netherlands Meteorological Institute, University of California, Irvine, University of Cambridge, University of Cambridge, University of Cambridge, University of Cambridge, University of Cambridge, University of Cambridge, University of Helsinki, University of Helsinki, University of Leeds, University of Reading, University of Vienna
Publication date:
2026-03-17
OpenAlex record:
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AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.