Improving Estimates of Dynamic Global Marine DMS and Implications for Aerosol Radiative Effect

Author:

Zhao Junri12ORCID,Zhang Yan134ORCID,Bie Shujun1,Yang Gui‐Peng5ORCID,Bilsback Kelsey R.67,Pierce Jeffrey R.6ORCID,Chen Ying1ORCID

Affiliation:

1. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) Department of Environmental Science and Engineering National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary Fudan University Shanghai China

2. Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration Institute of Environment and Ecology Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China

3. Shanghai Institute of Eco Chongming (SIEC) Shanghai China

4. MOE Laboratory for National Development and Intelligent Governance Shanghai Institute for Energy and Carbon Neutrality Strategy IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health Fudan University Shanghai China

5. Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education College of Chemistry and Chemical Engineering Ocean University of China Qingdao China

6. Department of Atmospheric Science Colorado State University Fort Collins CO USA

7. PSE Healthy Energy Oakland CA USA

Abstract

AbstractDimethyl sulfide (DMS) is the predominant natural sulfur source and plays a pivotal role in regulating global climate. However, the current method for estimating seawater DMS concentrations has limitations, and the existing DMS‐induced radiative effect heavily relies on bottom‐up DMS climatologies. This study aims to improve the method for estimating seawater DMS concentrations as well as to evaluate its induced aerosol direct radiative effect (DRE) and indirect radiative effect (IRE) using a state‐of‐the‐art aerosol microphysics scheme integrated with a chemical transport model. The predicted seawater DMS concentrations based on data‐driven methods were verified with multi‐year in situ measurements, revealing a marked reduction in mean bias by over 80%. Results show that our estimates generally indicate lower seawater DMS concentrations (1.48–1.88 μmol/m3) compared to previous seawater DMS climatologies, with differences ranging from −37% to 11%, and that interannual variability in DMS concentrations is varies significantly, particularly in polar regions. The DRE and cloud‐albedo IRE induced by DMS were −0.06 and −0.19 W/m2, respectively, representing a cooling effect on radiative effect that was weaker by 31.4% and 27.0% of those derived from the commonly used bottom‐up DMS climatology. The comprehensive evaluation of the model's performance of atmospheric DMS prediction based on global‐scale observations shows a significant improvement after using our estimates. Thus, we conclude that the global DMS fluxes provided in the past are overestimated, including its resulting DMS radiative effect, which highlights the need for refining the estimation of global aerosol radiative effect to enhance the accuracy of assessing aerosol‐induced climate impacts.

Publisher

American Geophysical Union (AGU)

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