Development and evaluation of processes  affecting simulation of diel fine particulate  matter variation in the GEOS-Chem model

Li, Yanshun; Martin, Randall V.; Li, Chi; Boys, Brian L.; van Donkelaar, Aaron; Meng, Jun; Pierce, Jeffrey R.

doi:https://doi.org/10.5194/acp-23-12525-2023

Articles | Volume 23, issue 19

https://doi.org/10.5194/acp-23-12525-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-12525-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 19

Research article

|

09 Oct 2023

Research article |

| 09 Oct 2023

Development and evaluation of processes affecting simulation of diel fine particulate matter variation in the GEOS-Chem model

Yanshun Li, Randall V. Martin, Chi Li, Brian L. Boys, Aaron van Donkelaar, Jun Meng, and Jeffrey R. Pierce

Supplement

https://doi.org/10.5194/acp-23-12525-2023-supplement

Data sets

Local Climatological Data National Oceanic and Atmospheric Administration https://www.ncei.noaa.gov/maps/lcd/

Pre-Generated Data Files Environmental Protection Agency https://aqs.epa.gov/aqsweb/airdata/download_files.html

AMDAR_BL_PBLH_DATASET D. Li https://doi.org/10.5281/zenodo.3934378

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Short summary

We developed and evaluated processes affecting within-day (diel) variability in PM_2.5 concentrations in a chemical transport model over the contiguous US. Diel variability in PM_2.5 for the contiguous US is driven by early-morning accumulation into a shallow mixed layer, decreases from mid-morning through afternoon with mixed-layer growth, increases from mid-afternoon through evening as the mixed-layer collapses, and decreases overnight as emissions decrease.