Preprints
https://doi.org/10.5194/egusphere-2023-868
https://doi.org/10.5194/egusphere-2023-868
15 May 2023
 | 15 May 2023

The sensitivity of Southern Ocean atmospheric dimethyl sulfide to modelled sources and emissions

Yusuf Bhatti, Laura Revell, Alex Schuddeboom, Adrian McDonald, Alex Archibald, Jonny Williams, Abhijith Venugopal, Catherine Hardacre, and Erik Behrens

Abstract. The biogeochemical behaviour of the Southern Ocean is complex and dynamic. The processes that affect this behaviour are highly dependent on physical, chemical, and biological constraints, which are poorly constrained in Earth System Models. We assess how emissions of dimethyl sulfide (DMS), a precursor of sulfate aerosol, change over the Southern Ocean when the chlorophyll-a distribution, which influences oceanic DMS production, is altered. Using a nudged configuration of the atmosphere-only United Kingdom Earth System Model, UKESM1-AMIP, we performed nine 10-year simulations using forcings representative of the period 2009–2018. Four different seawater DMS data sets are tested as input for these simulations. Three different DMS sea-to-air flux parameterizations are also explored. Our goal is to evaluate the changes in oceanic DMS, sea-to-air fluxes of DMS, and atmospheric DMS through these different simulations during austral summer. The mean spread across all the simulations with different oceanic DMS datasets, but the same sea-to-air flux parameterizations, is 112 % (3.3 to 6.9 TgS Yr−1). The mean spread in simulations using the same oceanic DMS dataset, but differing sea-to-air flux parameterisations is 50–60 % (2.9 to 4.7 TgS Yr−1). The choice of DMS emission parameterisation has a larger influence on atmospheric DMS than the choice of oceanic DMS source. We also find that linear relationships between wind and DMS flux generally compare better to observations than quadratic relationships. Simulations that implement a quadratic emission rate show on average 35 % higher DMS mixing ratios than the linear emission rates. Simulations using seawater DMS derived from satellite chlorophyll-a data in combination with a recently-developed flux parameterisation for DMS show the closest agreement with atmospheric DMS observations and are recommended to be included in future simulations. This work recommends for Earth System Models to include a sea-to-air parameterization that is appropriate for DMS, and for oceanic DMS datasets to include inter-annual variability based on observed marine biogenic activity. Such improvements will provide a more accurate process-based representation of oceanic and atmospheric DMS, and therefore sulfate aerosol, in the Southern Ocean region.

Yusuf Bhatti et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-868', Anonymous Referee #1, 01 Jun 2023
  • RC2: 'Comment on egusphere-2023-868', Mingxi Yang, 26 Jul 2023
  • AC1: 'Authors' response to reviewers on egusphere-2023-868', Yusuf Bhatti, 28 Sep 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-868', Anonymous Referee #1, 01 Jun 2023
  • RC2: 'Comment on egusphere-2023-868', Mingxi Yang, 26 Jul 2023
  • AC1: 'Authors' response to reviewers on egusphere-2023-868', Yusuf Bhatti, 28 Sep 2023

Yusuf Bhatti et al.

Yusuf Bhatti et al.

Viewed

Total article views: 1,015 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
569 427 19 1,015 13 16
  • HTML: 569
  • PDF: 427
  • XML: 19
  • Total: 1,015
  • BibTeX: 13
  • EndNote: 16
Views and downloads (calculated since 15 May 2023)
Cumulative views and downloads (calculated since 15 May 2023)

Viewed (geographical distribution)

Total article views: 996 (including HTML, PDF, and XML) Thereof 996 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 Dec 2023
Download
Short summary
Aerosols are a large source of uncertainty over the Southern Ocean. A dominant source of sulfate aerosol in this region is dimethyl sulfide (DMS), which is poorly simulated by climate models. We show the sensitivity of simulated atmospheric DMS to the choice of oceanic DMS data set and emission scheme. We show that oceanic DMS has twice the influence on atmospheric DMS than the emission scheme. Simulating DMS more accurately in climate models will help to constrain aerosol uncertainty.