Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1521-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-10-1521-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
13 Apr 2017
Model evaluation paper |
| 13 Apr 2017
Collection/aggregation algorithms in Lagrangian cloud microphysical models: rigorous evaluation in box model simulations
Simon Unterstrasser
CORRESPONDING AUTHOR
Deutsches Zentrum für Luft- und Raumfahrt (DLR) – Institut für Physik der Atmosphäre, Oberpfaffenhofen, 82234 Wessling, Germany
Fabian Hoffmann
Leibniz Universität Hannover – Institute of Meteorology and Climatology, 30419 Hannover, Germany
Marion Lerch
Deutsches Zentrum für Luft- und Raumfahrt (DLR) – Institut für Physik der Atmosphäre, Oberpfaffenhofen, 82234 Wessling, Germany
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34 citations as recorded by crossref.
- Efficient simulation of stochastic interactions among representative Monte Carlo particles M. Beutel et al. 10.1051/0004-6361/202347304
- A Lagrangian Cloud Model for the Study of Marine Fog D. Richter et al. 10.1007/s10546-020-00595-w
- libcloudph++ 2.0: aqueous-phase chemistry extension of the particle-based cloud microphysics scheme A. Jaruga & H. Pawlowska 10.5194/gmd-11-3623-2018
- The role of collision and coalescence on the microphysics of marine fog C. Rodriguez‐Geno & D. Richter 10.1002/qj.4831
- Roles of Drop Size Distribution and Turbulence in Autoconversion Based on Lagrangian Cloud Model Simulations D. Oh & Y. Noh 10.1029/2022JD036495
- 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 R. Zhang et al. 10.5194/gmd-17-6761-2024
- A Cloud Microphysics Parameterization for Shallow Cumulus Clouds Based on Lagrangian Cloud Model Simulations Y. Noh et al. 10.1175/JAS-D-18-0080.1
- Condensational and Collisional Growth of Cloud Droplets in a Turbulent Environment X. Li et al. 10.1175/JAS-D-19-0107.1
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- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- Comparison of Lagrangian Superdroplet and Eulerian Double-Moment Spectral Microphysics Schemes in Large-Eddy Simulations of an Isolated Cumulus Congestus Cloud K. Chandrakar et al. 10.1175/JAS-D-21-0138.1
- On the limits of Köhler activation theory: how do collision and coalescence affect the activation of aerosols? F. Hoffmann 10.5194/acp-17-8343-2017
- Potential and Limitations of Machine Learning for Modeling Warm‐Rain Cloud Microphysical Processes A. Seifert & S. Rasp 10.1029/2020MS002301
- The Route to Raindrop Formation in a Shallow Cumulus Cloud Simulated by a Lagrangian Cloud Model F. Hoffmann et al. 10.1175/JAS-D-16-0220.1
- Stochastic coalescence in Lagrangian cloud microphysics P. Dziekan & H. Pawlowska 10.5194/acp-17-13509-2017
- Improving collisional growth in Lagrangian cloud models: development and verification of a new splitting algorithm J. Schwenkel et al. 10.5194/gmd-11-3929-2018
- 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 P. Zmijewski et al. 10.5194/gmd-17-759-2024
- Modeling of Cloud Microphysics: Can We Do Better? W. Grabowski et al. 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. 10.5194/gmd-13-4107-2020
- Overview of the PALM model system 6.0 B. Maronga et al. 10.5194/gmd-13-1335-2020
- Collision Fluctuations of Lucky Droplets with Superdroplets X. Li et al. 10.1175/JAS-D-20-0371.1
- University of Warsaw Lagrangian Cloud Model (UWLCM) 1.0: a modern large-eddy simulation tool for warm cloud modeling with Lagrangian microphysics P. Dziekan et al. 10.5194/gmd-12-2587-2019
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Large‐eddy simulation with Lagrangian cloud modeling and large‐scale dynamics (L3$$ {\mathrm{L}}^3 $$) for studying the marine fog life cycle A. Barve et al. 10.1002/qj.5022
- Super‐Droplet Method to Simulate Lagrangian Microphysics of Nuclear Fallout in a Homogeneous Cloud D. McGuffin et al. 10.1029/2022JD036599
- Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method T. Matsushima et al. 10.5194/gmd-16-6211-2023
- Collisional growth in a particle-based cloud microphysical model: insights from column model simulations using LCM1D (v1.0) S. Unterstrasser et al. 10.5194/gmd-13-5119-2020
- Cloud Microphysical Implications for Marine Cloud Brightening: The Importance of the Seeded Particle Size Distribution F. Hoffmann & G. Feingold 10.1175/JAS-D-21-0077.1
- Drop Size Distribution Broadening Mechanisms in a Bin Microphysics Eulerian Model L. Pardo et al. 10.1175/JAS-D-20-0099.1
- Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration? M. Maahn et al. 10.5194/amt-12-3151-2019
- A mass-conserving, positive-definite, and low-dissipation approach for solving the population balance equation Z. Tian & L. Wang 10.1016/j.powtec.2025.121114
- Contrail formation on ambient aerosol particles for aircraft with hydrogen combustion: a box model trajectory study A. Bier et al. 10.5194/acp-24-2319-2024
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- Lagrangian condensation microphysics with Twomey CCN activation W. Grabowski et al. 10.5194/gmd-11-103-2018
1 citations as recorded by crossref.
Latest update: 17 Aug 2025
Short summary
In the last decade, several Lagrangian microphysical models (LCMs) have been developed which use a large number of (computational) particles to represent a cloud. In particular, the collision process leading to coalescence of cloud droplets or aggregation of ice crystals is implemented differently in various models. Three existing implementations are reviewed and extended, and their performance is evaluated by a comparison with well established analytical and bin model solutions.
In the last decade, several Lagrangian microphysical models (LCMs) have been developed which use...
