Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model

Dawson, Matthew L.; Guzman, Christian; Curtis, Jeffrey H.; Acosta, Mario; Zhu, Shupeng; Dabdub, Donald; Conley, Andrew; West, Matthew; Riemer, Nicole; Jorba, Oriol

doi:https://doi.org/10.5194/gmd-15-3663-2022

Articles | Volume 15, issue 9

https://doi.org/10.5194/gmd-15-3663-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Particle-based methods for simulating atmospheric aerosol...

https://doi.org/10.5194/gmd-15-3663-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

Model description paper

|

09 May 2022

Model description paper |

| 09 May 2022

Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model

Matthew L. Dawson, Christian Guzman, Jeffrey H. Curtis, Mario Acosta, Shupeng Zhu, Donald Dabdub, Andrew Conley, Matthew West, Nicole Riemer, and Oriol Jorba

Data sets

Box model and MONARCH outputs M. L. Dawson, C. Guzman, J. H. Curtis, M. Acosta, S. Zhu, D. Dabdub, A. Conley, Ma. West, N. Riemer, and O. Jorba https://doi.org/10.13012/B2IDB-8012140_V1

CAMPv1.0 M. L. Dawson, C. Guzman, J. H. Curtis, and M. West https://doi.org/10.5281/zenodo.5602154

Model code and software

CAMPv1.0 M. L. Dawson, C. Guzman, J. H. Curtis, and M. West https://doi.org/10.5281/zenodo.5602154

PartMC v2.6.1 M. West, N. Riemer, J. Curtis, M. Michelotti, R. Zaveri, J. Tian, and S. Arabas https://doi.org/10.5281/zenodo.6144610

MONARCH M. Klose, O. Jorba, M. Gonçalves Ageitos, J. Escribano, M. L. Dawson, V. Obiso, E. Di Tomaso, S. Basart, G. Montané Pinto, F. Macchia, and C. Pérez García-Pando https://doi.org/10.5281/zenodo.5215467

compdyn/partmc: Version 2.6.0 (2.6.0) M. West, N. Riemer, J. Curtis, M. Michelotti, R. Zaveri, J. Tian, and S. Arabas https://doi.org/10.5281/zenodo.5644422

Short summary

Progress in identifying complex, mixed-phase physicochemical processes has resulted in an advanced understanding of the evolution of atmospheric systems but has also introduced a level of complexity that few atmospheric models were designed to handle. We present a flexible treatment for multiphase chemical processes for models of diverse scale, from box up to global models. This enables users to build a customized multiphase mechanism that is accessible to a much wider community.