Impact of high-resolution soil erodibility datasets on dust simulations in WRF-Chem with the GOCART scheme

Segado-Moreno, Leandro Cristian; Montávez, Juan Pedro; Garnés-Morales, Ginés; Raluy-López, Eloisa; Jiménez-Guerrero, Pedro; Kumar, Rajesh

doi:10.5194/acp-26-12641-2026

Articles | Volume 26, issue 17

https://doi.org/10.5194/acp-26-12641-2026

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

https://doi.org/10.5194/acp-26-12641-2026

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

Articles | Volume 26, issue 17

Research article

|

07 Sep 2026

Research article |

| 07 Sep 2026

Impact of high-resolution soil erodibility datasets on dust simulations in WRF-Chem with the GOCART scheme

Leandro Cristian Segado-Moreno, Juan Pedro Montávez, Ginés Garnés-Morales, Eloisa Raluy-López, Pedro Jiménez-Guerrero, and Rajesh Kumar

Data sets

SOILHD – Soil-Type Heterogeneous Erodibility Dataset Leandro Cristian Segado-Moreno et al. https://doi.org/10.5281/zenodo.18596292

EROD-HR – A High Resolution Global Dust Erodibility Dataset Leandro CristianSegado-Moreno et al. https://doi.org/10.5281/zenodo.18594482

Model code and software

EROD Tuner Leandro Cristian Segado-Moreno and Juan Pedro Montavez https://doi.org/10.5281/zenodo.18606994

Short summary

This study focuses on improving models that simulate how mineral dust is emitted and transported in the atmosphere. We created two new, more detailed maps of soils and terrain to better represent where dust is generated. As a case study, we use dust events coming from North Africa affecting the Iberian Peninsula. Results show that the improved data helps the model match observed air pollution better, especially during dust episodes in inland areas.