Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0

Klose, Martina; Jorba, Oriol; Gonçalves Ageitos, María; Escribano, Jeronimo; Dawson, Matthew L.; Obiso, Vincenzo; Di Tomaso, Enza; Basart, Sara; Montané Pinto, Gilbert; Macchia, Francesca; Ginoux, Paul; Guerschman, Juan; Prigent, Catherine; Huang, Yue; Kok, Jasper F.; Miller, Ron L.; Pérez García-Pando, Carlos

doi:https://doi.org/10.5194/gmd-14-6403-2021

Articles | Volume 14, issue 10

Geosci. Model Dev., 14, 6403–6444, 2021

https://doi.org/10.5194/gmd-14-6403-2021

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

Geosci. Model Dev., 14, 6403–6444, 2021

https://doi.org/10.5194/gmd-14-6403-2021

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

Articles | Volume 14, issue 10

Development and technical paper 25 Oct 2021

Development and technical paper | 25 Oct 2021

Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0

Martina Klose et al.

Data sets

MONARCH data presented in Klose et al. (2021), "Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0", Geosci. Model Dev. Martina Klose, Oriol Jorba, María Gonçalves Ageitos, Jeronimo Escribano, Matthew L. Dawson, Vincenzo Obiso, Enza Di Tomaso, Sara Basart, Gilbert Montané Pinto, Francesca Macchia, Paul Ginoux, Juan Guerschman, Catherine Prigent, Yue Huang, Jasper F. Kok, Ron L. Miller, and Carlos Pérez García-Pando https://doi.org/10.23728/b2share.42ad3309744e40bd9c8920535d14c4a9

Model code and software

MONARCH: Multiscale Online Nonhydrostatic AtmospheRe CHemistry model Version 2.0 Martina Klose, Oriol Jorba, María Gonçalves Ageitos, Jerónimo Escribano, Matthew L. Dawson, Vincenzo Obiso, Enza Di Tomaso, Sara Basart, Gilbert Montané Pinto, Francesca Macchia, and Carlos Pérez García-Pando https://doi.org/10.5281/zenodo.5215467

Short summary

Mineral soil dust is a major atmospheric airborne particle type. We present and evaluate MONARCH, a model used for regional and global dust-weather prediction. An important feature of the model is that it allows different approximations to represent dust, ranging from more simplified to more complex treatments. Using these different treatments, MONARCH can help us better understand impacts of dust in the Earth system, such as its interactions with radiation.