Refining simulated mineral dust composition through modified size distributions: dual validation with mineral-specific and elemental observations

Gómez Maqueo Anaya, Sofía; Aryasree, Sudharaj; Kandler, Konrad; dos Santos Souza, Eduardo José; Fomba, Khanneh Wadinga; Althausen, Dietrich; Kezoudi, Maria; Faust, Matthias; Heinold, Bernd; Tegen, Ina; Haarig, Moritz; Baars, Holger; Schepanski, Kerstin

doi:10.5194/acp-26-9929-2026

Articles | Volume 26, issue 13

https://doi.org/10.5194/acp-26-9929-2026

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

Special issue:

The Joint Aeolus Tropical Atlantic Campaign (JATAC) (AMT/ACP...

https://doi.org/10.5194/acp-26-9929-2026

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

Articles | Volume 26, issue 13

Research article

|

15 Jul 2026

Research article |

| 15 Jul 2026

Refining simulated mineral dust composition through modified size distributions: dual validation with mineral-specific and elemental observations

Sofía Gómez Maqueo Anaya, Sudharaj Aryasree, Konrad Kandler, Eduardo José dos Santos Souza, Khanneh Wadinga Fomba, Dietrich Althausen, Maria Kezoudi, Matthias Faust, Bernd Heinold, Ina Tegen, Moritz Haarig, Holger Baars, and Kerstin Schepanski

Data sets

Datasets for "Refining simulated mineral dust composition through modified size distributions: dual validation with mineral-specific and elemental observations" Sofía Gómez Maqueo Anaya et al. https://doi.org/10.5281/zenodo.19731364

Model code and software

Dustonly/Dustonly: v2.0 Sofía Gómez Maqueo Anaya et al. https://doi.org/10.5281/zenodo.20290654

Short summary

During two 2022 measurement campaigns in Cape Verde, Saharan dust aerosols were collected and analyzed for mineral composition. Mineralogy is crucial for dust–radiation and dust–cloud interactions. We improve dust representation in an atmospheric model by refining the translation of soil into aerosol particle size distributions. Validation with mineral and elemental measurements shows improved representation of some minerals and reveals biases missed by mineral-only comparisons.