Evaluation of UKESM aerosol size and composition using ATom measurements indicates missing marine aerosol formation mechanisms

Abstract. Atmospheric aerosols influence climate through their interactions with radiation and clouds, yet large uncertainties remain in their simulation by global models. This study evaluates the United Kingdom Earth System Model version 1.1 (UKESM1.1) using global-scale aircraft observations from the. Atmospheric Tomography (ATom) mission, focusing on aerosol lifecycle processes in the remote marine atmosphere. We assess model performance in simulating aerosol precursor vapours, number size distributions, chemical composition, and environmental conditions. Several process improvements are tested, including sulfuric acid–ammonia nucleation, ammonium nitrate scheme, methanesulfonic acid condensation, and low-temperature isoprene-derived secondary organic aerosol formation. Model biases differ significantly between the upper troposphere (UT) and the marine boundary layer (MBL). In the UT, UKESM1.1 overestimates nucleation and Aitken mode particles while underestimating accumulation mode, indicating insufficient growth. In the MBL, the model overestimates primary aerosols (e.g. seasalt) and precursor gases but underestimates nucleation and Aitken mode particles, even after incorporating updated nucleation and ammonium nitrate scheme. The persistence of low aerosol number concentrations, despite overestimated precursors, suggests missing formation pathways likely involving other species such as iodine, amines, or organic vapours. These limitations result in an unbalanced cloud condensation nuclei budget that over-replies on primary emissions. Sensitivity tests reveal that model outputs are strongly influenced by dimethyl sulfide emissions and vapour condensation schemes. Our results highlight the need for future model development to prioritise mechanistic representation of currently missing aerosol sources, rather than relying on empirical tuning, to improve aerosol–climate interaction estimates.

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Published
2025-08-27
DOI
https://doi.org/10.5194/egusphere-2025-3700
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of UKESM aerosol size and composition using ATom measurements indicates missing marine aerosol formation mechanisms

Benjamin A. Nault, Agnieszka Kupc, Anthony C. Jones, Pedro Campuzano‐Jost et al.
Atmospheric chemistry and aerosols
article

Evaluation of UKESM aerosol size and composition using ATom measurements indicates missing marine aerosol formation mechanisms

Benjamin A. Nault, Agnieszka Kupc, Anthony C. Jones, Pedro Campuzano‐Jost, Daniel P. Grosvenor, Hanming Ding, M. R. Russo, Alexander T. Archibald, Xu‐Cheng He, James Weber, Yao Ge, D. R. Blake, K. S. Carslaw, Nathan Luke Abraham, Jose Luis Jimenez, Hamish Gordon, Christina J. Williamson, Xuemei Wang
article en

Abstract

Abstract. Atmospheric aerosols influence climate through their interactions with radiation and clouds, yet large uncertainties remain in their simulation by global models. This study evaluates the United Kingdom Earth System Model version 1.1 (UKESM1.1) using global-scale aircraft observations from the. Atmospheric Tomography (ATom) mission, focusing on aerosol lifecycle processes in the remote marine atmosphere. We assess model performance in simulating aerosol precursor vapours, number size distributions, chemical composition, and environmental conditions. Several process improvements are tested, including sulfuric acid–ammonia nucleation, ammonium nitrate scheme, methanesulfonic acid condensation, and low-temperature isoprene-derived secondary organic aerosol formation. Model biases differ significantly between the upper troposphere (UT) and the marine boundary layer (MBL). In the UT, UKESM1.1 overestimates nucleation and Aitken mode particles while underestimating accumulation mode, indicating insufficient growth. In the MBL, the model overestimates primary aerosols (e.g. seasalt) and precursor gases but underestimates nucleation and Aitken mode particles, even after incorporating updated nucleation and ammonium nitrate scheme. The persistence of low aerosol number concentrations, despite overestimated precursors, suggests missing formation pathways likely involving other species such as iodine, amines, or organic vapours. These limitations result in an unbalanced cloud condensation nuclei budget that over-replies on primary emissions. Sensitivity tests reveal that model outputs are strongly influenced by dimethyl sulfide emissions and vapour condensation schemes. Our results highlight the need for future model development to prioritise mechanistic representation of currently missing aerosol sources, rather than relying on empirical tuning, to improve aerosol–climate interaction estimates.

Finnish Meteorological Institute (FI), Met Office (GB), University of Vienna (AT), University of Leeds (GB), Royal Netherlands Meteorological Institute (NL), University of Helsinki (FI), Johns Hopkins University (US), Cooperative Institute for Research in Environmental Sciences (US), University of California, Irvine (US), University of Cambridge (GB), Aerodyne Research (US), National Centre for Atmospheric Science (GB), University of Reading (GB), Carnegie Mellon University (US)
National Centre for Atmospheric Science, Office of Science, Science Mission Directorate, Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta
Openalex Percentile: Top 72%
Atmospheric chemistry and aerosols
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