Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3623-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-11-3623-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
06 Sep 2018
Model description paper |
| 06 Sep 2018
| 06 Sep 2018
libcloudph++ 2.0: aqueous-phase chemistry extension of the particle-based cloud microphysics scheme
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
Hanna Pawlowska
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
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Cited
20 citations as recorded by crossref.
- Vertical Gradient of Size-Resolved Aerosol Compositions over the Arctic Reveals Cloud Processed Aerosol in-Cloud and above Cloud N. Lata et al. https://doi.org/10.1021/acs.est.2c09498
- A Note on Aerosol Processing by Droplet Collision‐Coalescence F. Hoffmann & G. Feingold https://doi.org/10.1029/2023GL103716
- Cleo: the fundamental design of a new superdroplet model for high computational performance (v0.39.0) C. Bayley et al. https://doi.org/10.5194/gmd-19-6099-2026
- Cleo: the numerical methods of a new superdroplet model including a droplet breakup algorithm (v0.52.0) C. Bayley et al. https://doi.org/10.5194/gmd-19-6121-2026
- Drop Size Distribution Broadening Mechanisms in a Bin Microphysics Eulerian Model L. Pardo et al. https://doi.org/10.1175/JAS-D-20-0099.1
- University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0: adaptation of a mixed Eulerian–Lagrangian numerical model for heterogeneous computing clusters P. Dziekan & P. Zmijewski https://doi.org/10.5194/gmd-15-4489-2022
- Super‐Droplet Method to Simulate Lagrangian Microphysics of Nuclear Fallout in a Homogeneous Cloud D. McGuffin et al. https://doi.org/10.1029/2022JD036599
- The Chemical Mechanism Integrator Cminor v1.0: a stand-alone Fortran environment for the particle-based simulation of chemical multiphase mechanisms L. Rug et al. https://doi.org/10.5194/gmd-18-9039-2025
- Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. https://doi.org/10.1080/07055900.2022.2075310
- Evolution of Droplet Size Distributions During the Transition of an Ultraclean Stratocumulus Cloud System to Open Cell Structure: An LES Investigation Using Lagrangian Microphysics K. Chandrakar et al. https://doi.org/10.1029/2022GL100511
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. https://doi.org/10.1007/s00376-022-2077-3
- Simulation of marine stratocumulus using the super-droplet method: numerical convergence and comparison to a double-moment bulk scheme using SCALE-SDM 5.2.6-2.3.1 C. Yin et al. https://doi.org/10.5194/gmd-17-5167-2024
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. https://doi.org/10.1029/2019MS001689
- Evaluating the Impacts of Cloud Processing on Resuspended Aerosol Particles After Cloud Evaporation Using a Particle‐Resolved Model Y. Yao et al. https://doi.org/10.1029/2021JD034992
- PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry P. Bartman et al. https://doi.org/10.21105/joss.03219
- Mechanism Study of Two-Dimensional Precipitation Diagnostic Models Within a Dynamic Framework X. Wei et al. https://doi.org/10.3390/atmos16040380
- Modeling of Cloud Microphysics: Can We Do Better? W. Grabowski et al. https://doi.org/10.1175/BAMS-D-18-0005.1
- Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0, -2.2.1, and -2.2.2 S. Shima et al. https://doi.org/10.5194/gmd-13-4107-2020
- Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7 M. de Bruine et al. https://doi.org/10.5194/gmd-12-5177-2019
- Collision Fluctuations of Lucky Droplets with Superdroplets X. Li et al. https://doi.org/10.1175/JAS-D-20-0371.1
20 citations as recorded by crossref.
- Vertical Gradient of Size-Resolved Aerosol Compositions over the Arctic Reveals Cloud Processed Aerosol in-Cloud and above Cloud N. Lata et al. https://doi.org/10.1021/acs.est.2c09498
- A Note on Aerosol Processing by Droplet Collision‐Coalescence F. Hoffmann & G. Feingold https://doi.org/10.1029/2023GL103716
- Cleo: the fundamental design of a new superdroplet model for high computational performance (v0.39.0) C. Bayley et al. https://doi.org/10.5194/gmd-19-6099-2026
- Cleo: the numerical methods of a new superdroplet model including a droplet breakup algorithm (v0.52.0) C. Bayley et al. https://doi.org/10.5194/gmd-19-6121-2026
- Drop Size Distribution Broadening Mechanisms in a Bin Microphysics Eulerian Model L. Pardo et al. https://doi.org/10.1175/JAS-D-20-0099.1
- University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0: adaptation of a mixed Eulerian–Lagrangian numerical model for heterogeneous computing clusters P. Dziekan & P. Zmijewski https://doi.org/10.5194/gmd-15-4489-2022
- Super‐Droplet Method to Simulate Lagrangian Microphysics of Nuclear Fallout in a Homogeneous Cloud D. McGuffin et al. https://doi.org/10.1029/2022JD036599
- The Chemical Mechanism Integrator Cminor v1.0: a stand-alone Fortran environment for the particle-based simulation of chemical multiphase mechanisms L. Rug et al. https://doi.org/10.5194/gmd-18-9039-2025
- Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. https://doi.org/10.1080/07055900.2022.2075310
- Evolution of Droplet Size Distributions During the Transition of an Ultraclean Stratocumulus Cloud System to Open Cell Structure: An LES Investigation Using Lagrangian Microphysics K. Chandrakar et al. https://doi.org/10.1029/2022GL100511
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. https://doi.org/10.1007/s00376-022-2077-3
- Simulation of marine stratocumulus using the super-droplet method: numerical convergence and comparison to a double-moment bulk scheme using SCALE-SDM 5.2.6-2.3.1 C. Yin et al. https://doi.org/10.5194/gmd-17-5167-2024
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. https://doi.org/10.1029/2019MS001689
- Evaluating the Impacts of Cloud Processing on Resuspended Aerosol Particles After Cloud Evaporation Using a Particle‐Resolved Model Y. Yao et al. https://doi.org/10.1029/2021JD034992
- PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry P. Bartman et al. https://doi.org/10.21105/joss.03219
- Mechanism Study of Two-Dimensional Precipitation Diagnostic Models Within a Dynamic Framework X. Wei et al. https://doi.org/10.3390/atmos16040380
- Modeling of Cloud Microphysics: Can We Do Better? W. Grabowski et al. https://doi.org/10.1175/BAMS-D-18-0005.1
- Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0, -2.2.1, and -2.2.2 S. Shima et al. https://doi.org/10.5194/gmd-13-4107-2020
- Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7 M. de Bruine et al. https://doi.org/10.5194/gmd-12-5177-2019
- Collision Fluctuations of Lucky Droplets with Superdroplets X. Li et al. https://doi.org/10.1175/JAS-D-20-0371.1
Saved (final revised paper)
Latest update: 24 Jul 2026
Short summary
libcloudph++ is a free and open-source library of schemes representing cloud microphysics (e.g. condensation of water vapour into cloud droplets, collisions between water drops, precipitation) in numerical models. This work adds new schemes that represent aqueous chemical reactions in water drops. The schemes focus on the oxidation of SO2 by O3 and H2O2. The libcloudph++ is now capable of resolving the changes in aerosol sizes caused by both collisions between water drops and aqueous oxidation.
libcloudph++ is a free and open-source library of schemes representing cloud microphysics (e.g....
