Development and Evaluation of an Explicit Treatment of Aerosol Processes at Cloud Scale Within a Multi-Scale Modeling Framework (MMF)

Journal Article · 10 July 2018 · Journal of Advances in Modeling Earth Systems

DOI: https://doi.org/10.1029/2018MS001287 · OSTI ID:1461620

Lin, Guangxing  ^[1]; Ghan, Steven J.  ^[1]; Wang, Minghuai  ^[2]; Ma, Po -Lun  ^[1]; Easter, Richard C.  ^[1]; Ovchinnikov, Mikhail  ^[1]; Fan, Jiwen  ^[1]; Zhang, Kai ^[1]; Wang, Hailong  ^[1]; Chand, Duli  ^[1]; Qian, Yun  ^[1]

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1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
2. Nanjing Univ., Nanjing (China)

Modeling the aerosol lifecycle in traditional global climate models (GCM) is challenging for a variety of reasons, not the least of which is the coarse grid. The multiscale modeling framework (MMF), in which a cloud resolving model replaces conventional parameterizations of cloud processes within each GCM grid column, provides a promising framework to address this challenge. Here we develop a new version of MMF that for the first time treats aerosol processes at cloud scale to improve the aerosol–cloud interaction representation in the model. We demonstrate that the model with the explicit aerosol treatments shows significant improvements of many aspects of the simulated aerosols compared to the previous version of MMF with aerosols parameterized at the GCM grid scale. The explicit aerosol treatments produce a significant increase of the column burdens of black carbon (BC), primary organic aerosol, and sulfate by up to 40% in many remote regions, a decrease of the sea–salt aerosol burdens by 40% in remote regions. These differences are caused by the differences in aerosol convective transport and wet removal between these two models. The new model also shows reduced bias of BC surface concentration in North America and BC vertical profiles in the high latitudes. Furthermore, the biased–high BC concentrations in the upper troposphere over the remote Pacific regions remain, requiring further improvements on other process representations (e.g., secondary activation neglected in the model).

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC02-05CH11231; AC05-76RL01830; DE‐AC02‐05CH11231
• OSTI ID: 1461620
• Alternate ID(s): OSTI ID: 1461621; OSTI ID: 1464497; OSTI ID: 1510935
• Report Number(s): PNNL-SA-136107; TRN: US1902398
• Journal Information: Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 7; ISSN 1942-2466
• Publisher: American Geophysical Union (AGU)Copyright Statement
• Country of Publication: United States
• Language: English