Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1)

Liu, Yaman; Dong, Xinyi; Wang, Minghuai; Emmons, Louisa K.; Liu, Yawen; Liang, Yuan; Li, Xiao; Shrivastava, Manish

doi:https://doi.org/10.5194/acp-21-8003-2021

Articles | Volume 21, issue 10

https://doi.org/10.5194/acp-21-8003-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-8003-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 10

Research article

|

26 May 2021

Research article |

| 26 May 2021

Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1)

Yaman Liu, Xinyi Dong, Minghuai Wang, Louisa K. Emmons, Yawen Liu, Yuan Liang, Xiao Li, and Manish Shrivastava

Supplement

https://doi.org/10.5194/acp-21-8003-2021-supplement

Data sets

Observational data for DC3 DC3 Science Team https://doi.org/10.5067/Aircraft/DC3/DC8/Aerosol-TraceGas

DISCOVER-AQ P-3B Aircraft in-situ Trace Gas Measurements NASA/LARC/SD/ASDC https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html

SEAC4RS NASA https://www-air.larc.nasa.gov/missions/seac4rs/index.html

ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols S. C. Wofsy et al. https://doi.org/10.3334/ORNLDAAC/1581

WP-3D Data CalNex Science Team https://csl.noaa.gov/groups/csl7/measurements/2010calnex/P3/DataDownload/

Tropospheric Chemistry: Measurements SENEX Science Team https://esrl.noaa.gov/csd/groups/csd7/measurements/

IMPROVE data IMPROVE http://vista.cira.colostate.edu/Improve/improve-data/

Model code and software

CESM model code National Center for Atmospheric Research https://www.cesm.ucar.edu/models/cesm2/release_download.html

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Short summary

Secondary organic aerosol (SOA) is considered one of the most important uncertainties in climate modeling. We evaluate SOA performance in the Community Earth System Model version 2.1 (CESM2.1) configured with the Community Atmosphere Model version 6 with chemistry (CAM6-Chem) through a long-term simulation (1988–2019) with observations in the United States, which indicates monoterpene-formed SOA contributes most to the overestimation of SOA at the surface and underestimation in the upper air.