A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion

Faust, Matthias; Wolke, Ralf; Münch, Steffen; Funk, Roger; Schepanski, Kerstin

doi:https://doi.org/10.5194/gmd-14-2205-2021

Articles | Volume 14, issue 4

https://doi.org/10.5194/gmd-14-2205-2021

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

https://doi.org/10.5194/gmd-14-2205-2021

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

Articles | Volume 14, issue 4

Model description paper

|

27 Apr 2021

Model description paper |

| 27 Apr 2021

A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion

Matthias Faust, Ralf Wolke, Steffen Münch, Roger Funk, and Kerstin Schepanski

Supplement

https://doi.org/10.5194/gmd-14-2205-2021-supplement

Data sets

In-time particle simulation (Itpas) - sample data Matthias Faust https://doi.org/10.5281/zenodo.3965682

Model code and software

In-time particle simulation (Itpas) module in the framework of the COSMO-Model Matthias Faust https://doi.org/10.5281/zenodo.3932248

mttfst/dust-bubble: randomised test input Matthias Faust https://doi.org/10.5281/zenodo.3975563

mttfst/trajectory-plot: Trajectory-Plot - Paper Version Matthias Faust https://doi.org/10.5281/zenodo.4062148

mttfst/trajectory-cross-section: paper version, prep for sample data Matthias Faust https://doi.org/10.5281/zenodo.4061940

Short summary

Trajectory dispersion models are powerful and intuitive tools for tracing air pollution through the atmosphere. But the turbulent nature of the atmospheric boundary layer makes it challenging to provide accurate predictions near the surface. To overcome this, we propose an approach using wind and turbulence information at high temporal resolution. Finally, we demonstrate the strength of our approach in a case study on dust emissions from agriculture.