Particle-based methods for simulating atmospheric aerosol and clouds (GMD/ACP inter-journal SI)(GMD/ACP inter-journal SI)
Particle-based methods for simulating atmospheric aerosol and clouds (GMD/ACP inter-journal SI)(GMD/ACP inter-journal SI)
Editor(s): ACP co-editors | Coordinators: Graham Feingold and Gordon McFiggans | Co-organizers: Simon Unterstrasser and Sylwester Arabas Special issue jointly organized between Geoscientific Model Development and Atmospheric Chemistry and Physics
Unlike in traditional bulk and bin microphysical approaches, atmospheric particles like hydrometeors and aerosol particles are not described by field variables but by computational particles. Over the last years, such particle-based methods have become more and more popular in aerosol and cloud physics. The special issue is open to all submissions with a clear focus on model description or evaluation or on studies specifically exploiting the advantages of particle-based methods. Contributions of any particle-based model related to aerosol and cloud modelling are welcome. This inter-journal special issue of GMD and ACP serves as a thematic collection and intends to increase visibility and foster collaboration among researchers.

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12 Sep 2024
Preliminary evaluation of the effect of electro-coalescence with conducting sphere approximation on the formation of warm cumulus clouds using SCALE-SDM version 0.2.5–2.3.0
Ruyi Zhang, Limin Zhou, Shin-ichiro Shima, and Huawei Yang
Geosci. Model Dev., 17, 6761–6774, https://doi.org/10.5194/gmd-17-6761-2024,https://doi.org/10.5194/gmd-17-6761-2024, 2024
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05 Jul 2024
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
Chongzhi Yin, Shin-ichiro Shima, Lulin Xue, and Chunsong Lu
Geosci. Model Dev., 17, 5167–5189, https://doi.org/10.5194/gmd-17-5167-2024,https://doi.org/10.5194/gmd-17-5167-2024, 2024
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16 May 2024
Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5)
Caroline Arnold, Shivani Sharma, Tobias Weigel, and David S. Greenberg
Geosci. Model Dev., 17, 4017–4029, https://doi.org/10.5194/gmd-17-4017-2024,https://doi.org/10.5194/gmd-17-4017-2024, 2024
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30 Jan 2024
Modeling collision–coalescence in particle microphysics: numerical convergence of mean and variance of precipitation in cloud simulations using the University of Warsaw Lagrangian Cloud Model (UWLCM) 2.1
Piotr Zmijewski, Piotr Dziekan, and Hanna Pawlowska
Geosci. Model Dev., 17, 759–780, https://doi.org/10.5194/gmd-17-759-2024,https://doi.org/10.5194/gmd-17-759-2024, 2024
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02 Nov 2023
Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method
Toshiki Matsushima, Seiya Nishizawa, and Shin-ichiro Shima
Geosci. Model Dev., 16, 6211–6245, https://doi.org/10.5194/gmd-16-6211-2023,https://doi.org/10.5194/gmd-16-6211-2023, 2023
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26 Jul 2023
Breakups are complicated: an efficient representation of collisional breakup in the superdroplet method
Emily de Jong, John Ben Mackay, Oleksii Bulenok, Anna Jaruga, and Sylwester Arabas
Geosci. Model Dev., 16, 4193–4211, https://doi.org/10.5194/gmd-16-4193-2023,https://doi.org/10.5194/gmd-16-4193-2023, 2023
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23 Feb 2023
Microphysics of liquid water in sub-10 nm ultrafine aerosol particles
Xiaohan Li and Ian C. Bourg
Atmos. Chem. Phys., 23, 2525–2556, https://doi.org/10.5194/acp-23-2525-2023,https://doi.org/10.5194/acp-23-2525-2023, 2023
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19 Jul 2022
Quantifying the effects of mixing state on aerosol optical properties
Yu Yao, Jeffrey H. Curtis, Joseph Ching, Zhonghua Zheng, and Nicole Riemer
Atmos. Chem. Phys., 22, 9265–9282, https://doi.org/10.5194/acp-22-9265-2022,https://doi.org/10.5194/acp-22-9265-2022, 2022
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10 Jun 2022
University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0: adaptation of a mixed Eulerian–Lagrangian numerical model for heterogeneous computing clusters
Piotr Dziekan and Piotr Zmijewski
Geosci. Model Dev., 15, 4489–4501, https://doi.org/10.5194/gmd-15-4489-2022,https://doi.org/10.5194/gmd-15-4489-2022, 2022
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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
Geosci. Model Dev., 15, 3663–3689, https://doi.org/10.5194/gmd-15-3663-2022,https://doi.org/10.5194/gmd-15-3663-2022, 2022
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03 Dec 2021
Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model
Zhonghua Zheng, Matthew West, Lei Zhao, Po-Lun Ma, Xiaohong Liu, and Nicole Riemer
Atmos. Chem. Phys., 21, 17727–17741, https://doi.org/10.5194/acp-21-17727-2021,https://doi.org/10.5194/acp-21-17727-2021, 2021
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17 Mar 2021
Cloud droplet diffusional growth in homogeneous isotropic turbulence: bin microphysics versus Lagrangian super-droplet simulations
Wojciech W. Grabowski and Lois Thomas
Atmos. Chem. Phys., 21, 4059–4077, https://doi.org/10.5194/acp-21-4059-2021,https://doi.org/10.5194/acp-21-4059-2021, 2021
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30 Oct 2020
Collisional growth in a particle-based cloud microphysical model: insights from column model simulations using LCM1D (v1.0)
Simon Unterstrasser, Fabian Hoffmann, and Marion Lerch
Geosci. Model Dev., 13, 5119–5145, https://doi.org/10.5194/gmd-13-5119-2020,https://doi.org/10.5194/gmd-13-5119-2020, 2020
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08 Sep 2020
| Highlight paper
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
Shin-ichiro Shima, Yousuke Sato, Akihiro Hashimoto, and Ryohei Misumi
Geosci. Model Dev., 13, 4107–4157, https://doi.org/10.5194/gmd-13-4107-2020,https://doi.org/10.5194/gmd-13-4107-2020, 2020
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01 Jul 2019
University of Warsaw Lagrangian Cloud Model (UWLCM) 1.0: a modern large-eddy simulation tool for warm cloud modeling with Lagrangian microphysics
Piotr Dziekan, Maciej Waruszewski, and Hanna Pawlowska
Geosci. Model Dev., 12, 2587–2606, https://doi.org/10.5194/gmd-12-2587-2019,https://doi.org/10.5194/gmd-12-2587-2019, 2019
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17 Jan 2019
Cloud-droplet growth due to supersaturation fluctuations in stratiform clouds
Xiang-Yu Li, Gunilla Svensson, Axel Brandenburg, and Nils E. L. Haugen
Atmos. Chem. Phys., 19, 639–648, https://doi.org/10.5194/acp-19-639-2019,https://doi.org/10.5194/acp-19-639-2019, 2019
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28 Sep 2018
Improving collisional growth in Lagrangian cloud models: development and verification of a new splitting algorithm
Johannes Schwenkel, Fabian Hoffmann, and Siegfried Raasch
Geosci. Model Dev., 11, 3929–3944, https://doi.org/10.5194/gmd-11-3929-2018,https://doi.org/10.5194/gmd-11-3929-2018, 2018
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06 Sep 2018
libcloudph++ 2.0: aqueous-phase chemistry extension of the particle-based cloud microphysics scheme
Anna Jaruga and Hanna Pawlowska
Geosci. Model Dev., 11, 3623–3645, https://doi.org/10.5194/gmd-11-3623-2018,https://doi.org/10.5194/gmd-11-3623-2018, 2018
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12 Jan 2018
Lagrangian condensation microphysics with Twomey CCN activation
Wojciech W. Grabowski, Piotr Dziekan, and Hanna Pawlowska
Geosci. Model Dev., 11, 103–120, https://doi.org/10.5194/gmd-11-103-2018,https://doi.org/10.5194/gmd-11-103-2018, 2018
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14 Nov 2017
Stochastic coalescence in Lagrangian cloud microphysics
Piotr Dziekan and Hanna Pawlowska
Atmos. Chem. Phys., 17, 13509–13520, https://doi.org/10.5194/acp-17-13509-2017,https://doi.org/10.5194/acp-17-13509-2017, 2017
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09 Nov 2017
A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0
Jeffrey H. Curtis, Nicole Riemer, and Matthew West
Geosci. Model Dev., 10, 4057–4079, https://doi.org/10.5194/gmd-10-4057-2017,https://doi.org/10.5194/gmd-10-4057-2017, 2017
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10 Jul 2017
On the limits of Köhler activation theory: how do collision and coalescence affect the activation of aerosols?
Fabian Hoffmann
Atmos. Chem. Phys., 17, 8343–8356, https://doi.org/10.5194/acp-17-8343-2017,https://doi.org/10.5194/acp-17-8343-2017, 2017
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13 Apr 2017
Collection/aggregation algorithms in Lagrangian cloud microphysical models: rigorous evaluation in box model simulations
Simon Unterstrasser, Fabian Hoffmann, and Marion Lerch
Geosci. Model Dev., 10, 1521–1548, https://doi.org/10.5194/gmd-10-1521-2017,https://doi.org/10.5194/gmd-10-1521-2017, 2017
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09 Jun 2015
libcloudph++ 1.0: a single-moment bulk, double-moment bulk, and particle-based warm-rain microphysics library in C++
S. Arabas, A. Jaruga, H. Pawlowska, and W. W. Grabowski
Geosci. Model Dev., 8, 1677–1707, https://doi.org/10.5194/gmd-8-1677-2015,https://doi.org/10.5194/gmd-8-1677-2015, 2015
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30 Apr 2014
Optimisation of the simulation particle number in a Lagrangian ice microphysical model
S. Unterstrasser and I. Sölch
Geosci. Model Dev., 7, 695–709, https://doi.org/10.5194/gmd-7-695-2014,https://doi.org/10.5194/gmd-7-695-2014, 2014
19 Aug 2024
Numerical investigations on the modelling of ultrafine particles in SSH-aerosol-v1.3a: size resolution and redistribution
Oscar Jacquot and Karine Sartelet
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-150,https://doi.org/10.5194/gmd-2024-150, 2024
Preprint under review for GMD (discussion: final response, 2 comments)
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