https://doi.org/10.1029/2022MS003157">
 

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Nitrate aerosol plays an important role in affecting regional air quality as well as Earth’s climate. However, it is not well represented or even neglected in many global climate models. In this study, we couple the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) module with the four-mode version of the Modal Aerosol Module (MAM4) in DOE’s Energy Exascale Earth System Model version 2 (E3SMv2) to treat nitrate aerosol and its radiative effects. We find that nitrate aerosol simulated by E3SMv2-MAM4-MOSAIC is sensitive to the treatment of gaseous HNO3 transfer to/from interstitial particles related to accommodation coefficients of HNO3 (α_HNO3) on dust and non-dust particles. We compare three different treatments of HNO3 transfer: (1) a treatment (MTC_SLOW) that uses a low α_HNO3 in the mass transfer coefficient (MTC) calculation; (2) a dust-weighted MTC treatment (MTC_WGT) that uses a high α_HNO3 on non-dust particles; and (3) a dust-weighted MTC treatment that also splits coarse mode aerosols into the coarse dust and sea salt sub-modes in MOSAIC (MTC_SPLC). MTC_WGT and MTC_SPLC increase the global annual mean (2005–2014) nitrate burden from 0.096 (MTC_SLOW) to 0.237 and 0.185 Tg N, respectively, mostly in the coarse mode. They also produce stronger nitrate direct radiative forcing (–0.048 and –0.051 W m⁻², respectively) and indirect forcing (–0.33 and –0.35 W m⁻², respectively) than MTC_SLOW (–0.021 and –0.24 W m⁻²). All three treatments overestimate nitrate surface concentrations compared with ground-based observations, but MTC_WGT and MTC_SPLC improve the vertical profiles of nitrate concentrations against aircraft measurements below 400 hPa.

Department

Earth Systems Research Center

Publication Date

11-16-2022

Journal Title

Journal of Advances in Modeling Earth Systems

Publisher

American Geophysical Union

Digital Object Identifier (DOI)

https://doi.org/10.1029/2022MS003157

Document Type

Article

Rights

© 2022 The Author(s)

Comments

This is an open access article published by AGU in Journal of Advances in Modeling Earth Systems (JAMES) in 2022, available online: https://doi.org/10.1029/2022MS003157

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