Modeling PFAS in the global atmosphere – the PRIEST extension for the ICON-ART modeling framework

Meza-Landero, Hiram; Bruckert, Julia; Petrik, Ronny; Simon, Pascal; Mikheeva, Elena; Vogel, Heike; Matthias, Volker; Bieser, Johannes; Ramacher, Martin Otto Paul

doi:10.5194/gmd-19-6587-2026

Articles | Volume 19, issue 14

https://doi.org/10.5194/gmd-19-6587-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-6587-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 14

Development and technical paper

|

22 Jul 2026

Development and technical paper |

| 22 Jul 2026

Modeling PFAS in the global atmosphere – the PRIEST extension for the ICON-ART modeling framework

Hiram Meza-Landero, Julia Bruckert, Ronny Petrik, Pascal Simon, Elena Mikheeva, Heike Vogel, Volker Matthias, Johannes Bieser, and Martin Otto Paul Ramacher

Data sets

POPE monthly emissions for ICON-ART PRIEST v1.0 H. A. Meza-Landero and P. Simon https://doi.org/10.5281/zenodo.16539566

CAM-chem Data initial and boundary conditions for ICON-ART PRIEST v1.0 H. A. Meza-Landero et al. https://doi.org/10.5281/zenodo.16510044

Model code and software

CON-ART PRIEST v1.0 model output interpolated to measurement sites H. A. Meza-Landero et al. https://doi.org/10.5281/zenodo.16795424

ICON release 2025.04 ICON partnership (MPI-M and DWD and DKRZ and KIT and C2SM) https://doi.org/10.35089/wdcc/iconrelease2025.04

ICON-ART PRIEST extension code H. A. Meza-Landero et al. https://doi.org/10.5281/zenodo.16615114

ICON-ART PRIEST v1.0 monthly model output H. A. Meza-Landero et al. https://doi.org/10.5281/zenodo.16740291

Short summary

To understand how persistent hazardous industrial chemicals travel through the air and are deposited back on Earth's surface, we created a new computer model that combines meteorology and chemistry in clouds and clean air. Using the most recent global emissions data, this model represents the trajectory and changes of these chemicals, matching patterns in many areas and overlooking others. The work seeks to improve global monitoring and modeling of hazardous chemicals.