Evaluation of high-resolution predictions of fine particulate matter and its composition in an urban area using PMCAMx-v2.0

Dinkelacker, Brian T.; Garcia Rivera, Pablo; Kioutsioukis, Ioannis; Adams, Peter J.; Pandis, Spyros N.

doi:https://doi.org/10.5194/gmd-15-8899-2022

Articles | Volume 15, issue 23

https://doi.org/10.5194/gmd-15-8899-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-8899-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 23

Model evaluation paper

|

13 Dec 2022

Model evaluation paper |

| 13 Dec 2022

Evaluation of high-resolution predictions of fine particulate matter and its composition in an urban area using PMCAMx-v2.0

Brian T. Dinkelacker, Pablo Garcia Rivera, Ioannis Kioutsioukis, Peter J. Adams, and Spyros N. Pandis

Supplement

https://doi.org/10.5194/gmd-15-8899-2022-supplement

Data sets

The ERA-Interim reanalysis dataset European Centre for Medium-range Weather Forecast (ECMWF) https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim

Model code and software

Source Code for PMCAMx-v2.0: "High-resolution modeling of fine particulate matter in an urban area using PMCAMx-v2.0" Brian T. Dinkelacker, Pablo Garcia Rivera, Ioannis Kioutsioukis, Peter Adams, and Spyros N. Pandis https://doi.org/10.5281/zenodo.7358180

Short summary

The performance of a chemical transport model in reproducing PM_2.5 concentrations and composition was evaluated at the finest scale using measurements from regulatory sites as well as a network of low-cost monitors. Total PM_2.5 mass is reproduced well by the model during the winter when compared to regulatory measurements, but in the summer PM_2.5 is underpredicted, mainly due to difficulties in reproducing regional secondary organic aerosol levels.