PNNL

The Science

Secondary organic aerosols (SOAs) formed by the oxidation of carbon-based gases are large contributors to the global mass and number of fine particles. SOAs represent thousands of constantly reacting organic species, which makes predicting their sources and decomposition processes known as sinks a key modeling challenge. Most global models use simplified SOA representations that do not accurately capture global SOA budgets and lifetimes. Researchers developed complex but computationally efficient algorithms that can simulate the chemical production and sinks of SOAs within the Energy Exascale Earth System Model (E3SM). The results show that both strong chemical sources, represented by the oxidation of SOA precursor gases, and strong chemical sinks, represented by the photolysis of SOA particles, were needed to explain surface and high-altitude measurements of SOA loadings.

The Impact

The new SOA formulations developed in this study parameterize the chemical complexity of SOAs but are computationally efficient. This makes them practical for their use in predicting SOA distributions in global models like E3SM. These complex treatments produce more accurate results, based on comparisons of model output and global organic aerosol measurements. Accurately representing the connections between SOA formation, natural processes (like biogenic emissions from trees) and human activities (like land-use changes and energy production) is important for understanding how aerosol-cloud and aerosol-radiation interactions have changed since preindustrial times.

Summary

Researchers developed and implemented four different model formulations of SOA particles with varying strengths of chemical sources and sinks within E3SM. They compared the predicted global SOA distributions to a suite of organic aerosol measurements from in situ (ground-based and aircraft) and satellite observations. These findings highlight the importance of including complex process-level representation of SOA formation and sinks within global models. The study shows the feasibility of representing chemical complexity while maintaining computational efficiency. All tested formulations needed a strong chemical sink of SOAs, represented by particle-phase photolysis, to explain the organic aerosol loadings measured by aircraft at high altitudes, i.e., above 6 km. Wet removal sinks are low at high altitudes and above clouds, requiring another strong chemical sink of SOAs, like photolysis, to explain the aircraft observations. This work shows that different SOA chemistry formulations change SOA wet removal lifetimes by a factor of three within the same model physics and cloud representations. This work provides a new framework for representing complex SOA chemistry processes within E3SM in a computationally efficient and more accurate manner. Due to the explicit coupling of SOA precursors and chemical processes with natural and anthropogenic sources, this work provides a baseline for future research aimed at understanding changes in aerosol-cloud and aerosol-radiation interactions from preindustrial times through the future.

PNNL Contact

Ruby Leung, Pacific Northwest National Laboratory, Ruby.Leung@pnnl.gov 

Funding

This research is based on work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Earth and Environmental Systems Modeling (EESM) program as part of the Energy Exascale Earth System Model (E3SM) project and a Department of Energy Early Career Award (M. Shrivastava). This research used resources from the Pacific Northwest National Laboratory Institutional Computing facility.