DMS Oxidation and Marine Aerosol Radiative Forcing
Abstract: Marine cloud albedo over the pristine Southern Ocean and remote tropical oceans is governed by natural biogenic aerosols derived from phytoplankton dimethyl sulfide (\(\text{DMS}\)) emissions. However, conventional global climate models have historically relied on oversimplified chemical mechanisms that omit isomerization autoxidation and multi-phase cloud droplet loss pathways. Here, we implement the newly discovered hydroperoxymethyl thioformate (\(\text{HPMTF}\)) autoxidation mechanism into the Community Earth System Model (\(\text{CESM2}\)) to evaluate its global climate impact. Our simulations demonstrate that rapid gas-phase autoxidation diverts over \(30\%\) of global \(\text{DMS}\) oxidation flux into \(\text{HPMTF}\), reducing sulfate aerosol mass in pristine marine boundary layers while extending sulfur transport to the free troposphere. This revised spatial redistribution increases pre-industrial cloud droplet number concentrations and alters the global aerosol effective radiative forcing by \(+0.11\text{ W m}^{-2}\). These findings establish that accurate marine sulfur autoxidation kinetics are essential for constraining aerosol baseline cooling and narrowing climate sensitivity uncertainties.
"The ocean and the atmosphere are coupled through a biochemical breath: microscopic phytoplankton emit volatile sulfur, which nucleates clouds that reflect sunlight back to space."
1. The Marine Sulfur Cycle & The CLAW Hypothesis
In 1987, Charlson, Lovelock, Andreae, and Warren proposed the famous CLAW Hypothesis[^1]: oceanic phytoplankton produce dimethyl sulfide (\(\text{CH}_3\text{SCH}_3\), or \(\text{DMS}\)), which ventilates into the atmosphere, oxidizes into sulfuric acid (\(\text{H}_2\text{SO}_4\)) and methanesulfonic acid (\(\text{MSA}\)), and forms cloud condensation nuclei (CCN). These CCN brighten marine stratus clouds, increasing planetary albedo and cooling the surface:
flowchart LR
Phyto["Marine Phytoplankton (DMSP)"] -->|Enzymatic Cleavage| DMS_Ocean["Oceanic DMS"]
DMS_Ocean -->|Air-Sea Gas Transfer| DMS_Atm["Atmospheric DMS Gas"]
DMS_Atm -->|OH / NO3 / Halogen Oxidation| SO2["SO2 + H2SO4 + MSA"]
DMS_Atm -->|Isomerization Autoxidation| HPMTF["HPMTF Intermediate"]
SO2 -->|New Particle Formation & Condensation| CCN["Marine Cloud Condensation Nuclei"]
HPMTF -->|Cloud Droplet Scavenging| CloudSulfate["In-Cloud Aqueous Sulfate"]
CCN -->|Aerosol Indirect Effect| CloudAlbedo["Brightened Marine Stratocumulus"]
CloudAlbedo -->|Solar Reflection| Cooling["Surface Climate Cooling"]
style Phyto fill:#065f46,stroke:#047857,stroke-width:2px,color:#fff
style DMS_Atm fill:#0284c7,stroke:#0369a1,stroke-width:2px,color:#fff
style HPMTF fill:#d97706,stroke:#f59e0b,stroke-width:2px,color:#fff
style CloudAlbedo fill:#3b82f6,stroke:#1d4ed8,stroke-width:2px,color:#fff
style Cooling fill:#1e3a8a,stroke:#1e40af,stroke-width:2px,color:#fff
Despite its foundational role, global Earth System Models have long struggled with high uncertainty in pristine oceanic aerosol indirect forcing. A primary reason was an incomplete chemical picture: classical models assumed \(\text{DMS}\) oxidized solely via simple H-abstraction and OH-addition into \(\text{SO}_2\) and \(\text{DMSO}\).
2. The Missing Mechanism: Fast Autoxidation to HPMTF
In 2019–2020, airborne mass spectrometry measurements during the NASA ATom campaign and laboratory chamber kinetics discovered a previously unrepresented intermediate: hydroperoxymethyl thioformate (\(\text{HOOCH}_2\text{SCHO}\), or \(\text{HPMTF}\))[^2].
When \(\text{OH}\) abstracts a hydrogen atom from \(\text{DMS}\), the resulting peroxy radical undergoes rapid intramolecular H-shift isomerization (autoxidation):
The Bifurcated DMS Oxidation Cascade
DMS (CH₃SCH₃)
│
┌──────────────────┴──────────────────┐
▼ (OH Addition) ▼ (OH / NO₃ Abstraction)
DMSO / DMSO₂ CH₃SCH₂OO• (Peroxy Radical)
│ │
▼ ┌─────┴────────────────┐
MSA / SO₂ / H₂SO₄ ▼ (Traditional NO/HO₂) ▼ (Autoxidation H-Shift)
SO₂ + Formaldehyde HPMTF (HOOCH₂SCHO)
│
┌──────────┴──────────┐
▼ (Gas-phase OH) ▼ (Cloud Uptake)
OCS / SO₂ Aqueous Sulfate
Why HPMTF Upends the Atmospheric Sulfur Budget
- Cloud Droplet Scavenging: \(\text{HPMTF}\) is moderately soluble (\(H \approx 10^4 - 10^5\text{ M atm}^{-1}\)) and is rapidly scavenged by cloud droplets, bypassing traditional gas-phase \(\text{SO}_2\) intermediate stages[^3].
- Vertical Redistribution: In cloud-free marine boundary layers, \(\text{HPMTF}\) has a longer chemical lifetime, allowing sulfur to be lofted into the free troposphere where lower temperatures favor new particle nucleation.
3. Global Modeling with CESM2 / CAM6-chem
In our study published in Atmospheric Chemistry and Physics[^4], we implemented a comprehensive DMS oxidation mechanism—incorporating explicit \(\text{HPMTF}\) gas-phase photochemistry, halogen (\(\text{BrO}, \text{Cl}\)) reactions, and multi-phase cloud droplet uptake—into the Community Earth System Model (CESM2 / CAM6-chem).
Key Atmospheric Impacts:
| Parameter | Classical Mechanism (No HPMTF) | Updated Explicit Mechanism (With HPMTF) | Global Shift |
|---|---|---|---|
| Global DMS Oxidation Flux to HPMTF | \(0\text{ Tg S yr}^{-1}\) | \(8.7\text{ Tg S yr}^{-1}\) | 35% of total sulfur flux |
| Marine Boundary Layer \(\text{SO}_2\) | High (\(40–120\text{ ppt}\)) | Reduced by \(20–45\%\) | Better agreement with ATom observations |
| Cloud Condensation Nuclei (\(\text{CCN}_{0.1\%}\)) | Overestimated in boundary layer | Redistributed to free troposphere | \(-12\%\) at surface, \(+18\%\) aloft |
| Pre-Industrial Radiative Baseline | Less reflective marine clouds | Elevated pristine background CCN | Shifts baseline albedo |
| Anthropogenic Aerosol Forcing (\(\Delta F_{\text{aer}}\)) | \(-1.38\text{ W m}^{-2}\) | \(-1.27\text{ W m}^{-2}\) | \(+0.11\text{ W m}^{-2}\) warming offset |
4. Interactive Simulator: DMS Oxidation & Marine Sulfate Partitioning
Explore how temperature, cloud liquid water content, and radical concentrations govern the branch point between traditional \(\text{SO}_2\) formation and the \(\text{HPMTF}\) autoxidation channel:
🌊 Marine Sulfur Chemical Flux Partitioning
5. Climate Implications & Radiative Baseline
Why does a chemical intermediate matter so much for global climate projections?
The answer lies in the pre-industrial aerosol baseline[^5]. Anthropogenic aerosol radiative forcing is calculated as the difference in cloud albedo between the modern polluted atmosphere and the pre-industrial unperturbed atmosphere:
In pre-industrial times, natural \(\text{DMS}\) was the dominant source of cloud-forming particles over the oceans. Because cloud albedo is a logarithmic function of droplet concentration (\(A \propto \ln N_d\)), brightening clouds in an already pristine regime produces a much larger radiative response than adding aerosols to a polluted continent.
By correctly accounting for \(\text{HPMTF}\) multi-phase loss and sulfur redistribution, global models refine the pre-industrial CCN baseline, reducing climate sensitivity uncertainty in IPCC-class Earth system models.
Data and Code Availability
- Model Integration: The chemical mechanism is implemented in the Community Earth System Model (CESM2.1 / CAM6-chem), available through the NCAR CESM repository.
- Observational Datasets: Airborne observational validation data were obtained from the NASA Atmospheric Tomography (ATom) mission[^6].
- Source Code: Analysis scripts and mechanism definitions are archived on GitHub:
kamingfung/DMS-HPMTF-CESM.
References
[^1]: Charlson, R. J., Lovelock, J. E., Andreae, M. O. & Warren, S. G. Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate. Nature 326, 655–661 (1987). https://doi.org/10.1038/326655a0 [^2]: Veres, P. R. et al. Global airborne sampling reveals a previously overlooked dimethyl sulfide oxidation product in the marine atmosphere. Proc. Natl. Acad. Sci. USA 117, 4505–4510 (2020). https://doi.org/10.1073/pnas.1919344117 [^3]: Berndt, T. et al. Fast autoxidation of dimethyl sulfide in the marine atmosphere. J. Phys. Chem. A 124, 3608–3618 (2020). https://doi.org/10.1021/acs.jpca.0c02111 [^4]: Fung, K. M., Heald, C. L., Kroll, J. H., Wang, S., Jo, D. S., Gettelman, A., Lu, Z., Liu, X. et al. Exploring DMS oxidation and implications for global aerosol radiative forcing. Atmos. Chem. Phys. 22, 1549–1573 (2022). https://doi.org/10.5194/acp-22-1549-2022 [^5]: Carslaw, K. S. et al. Large contribution of natural aerosols to uncertainty in indirect forcing. Nature 503, 67–71 (2013). https://doi.org/10.1038/nature12674 [^6]: Wofsy, S. C. et al. ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols Data. (ORNL DAAC, Oak Ridge, Tennessee, USA, 2018). https://doi.org/10.3334/ORNLDAAC/1581