Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2587-2019
© Author(s) 2019. 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-12-2587-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
University of Warsaw Lagrangian Cloud Model (UWLCM) 1.0: a modern large-eddy simulation tool for warm cloud modeling with Lagrangian microphysics
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
Maciej Waruszewski
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
23 citations as recorded by crossref.
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- 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
- Optimization of the parallel semi‐Lagrangian scheme based on overlapping communication with computation in the YHGSM T. Jiang et al. 10.1002/qj.4023
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- Insights into Pyrocumulus aerosol composition: black carbon content and organic vapor condensation K. Gorkowski et al. 10.1039/D3EA00130J
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- 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. 10.5194/gmd-17-5167-2024
- Cloud droplet diffusional growth in homogeneous isotropic turbulence: bin microphysics versus Lagrangian super-droplet simulations W. Grabowski & L. Thomas 10.5194/acp-21-4059-2021
- A Lagrangian particle-based numerical model for surfactant-laden droplets at macroscales M. Denys et al. 10.1063/5.0101930
- 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
- Adiabatic Evolution of Cloud Droplet Spectral Width: A New Look at an Old Problem W. Grabowski & H. Pawlowska 10.1029/2022GL101917
- Drop Size Distribution Broadening Mechanisms in a Bin Microphysics Eulerian Model L. Pardo et al. 10.1175/JAS-D-20-0099.1
- Limitations of Bin and Bulk Microphysics in Reproducing the Observed Spatial Structure of Light Precipitation M. Witte et al. 10.1175/JAS-D-21-0134.1
- Impact of Giant Sea Salt Aerosol Particles on Precipitation in Marine Cumuli and Stratocumuli: Lagrangian Cloud Model Simulations P. Dziekan et al. 10.1175/JAS-D-21-0041.1
- 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
- Roles of Drop Size Distribution and Turbulence in Autoconversion Based on Lagrangian Cloud Model Simulations D. Oh & Y. Noh 10.1029/2022JD036495
- Super‐Droplet Method to Simulate Lagrangian Microphysics of Nuclear Fallout in a Homogeneous Cloud D. McGuffin et al. 10.1029/2022JD036599
- Collision Fluctuations of Lucky Droplets with Superdroplets X. Li et al. 10.1175/JAS-D-20-0371.1
- Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds J. Lee et al. 10.5194/acp-24-5737-2024
- 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
- 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 10.5194/gmd-15-4489-2022
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
22 citations as recorded by crossref.
- Modeling of Cloud Microphysics: Can We Do Better? W. Grabowski et al. 10.1175/BAMS-D-18-0005.1
- The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale A. Müller et al. 10.5194/gmd-12-4425-2019
- 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
- Optimization of the parallel semi‐Lagrangian scheme based on overlapping communication with computation in the YHGSM T. Jiang et al. 10.1002/qj.4023
- Breakups are complicated: an efficient representation of collisional breakup in the superdroplet method E. de Jong et al. 10.5194/gmd-16-4193-2023
- Insights into Pyrocumulus aerosol composition: black carbon content and organic vapor condensation K. Gorkowski et al. 10.1039/D3EA00130J
- Paths From Aerosol Particles to Activation and Cloud Droplets in Shallow Cumulus Clouds: The Roles of Entrainment and Supersaturation Fluctuations D. Oh et al. 10.1029/2022JD038450
- 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. 10.5194/gmd-17-5167-2024
- Cloud droplet diffusional growth in homogeneous isotropic turbulence: bin microphysics versus Lagrangian super-droplet simulations W. Grabowski & L. Thomas 10.5194/acp-21-4059-2021
- A Lagrangian particle-based numerical model for surfactant-laden droplets at macroscales M. Denys et al. 10.1063/5.0101930
- 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
- Adiabatic Evolution of Cloud Droplet Spectral Width: A New Look at an Old Problem W. Grabowski & H. Pawlowska 10.1029/2022GL101917
- Drop Size Distribution Broadening Mechanisms in a Bin Microphysics Eulerian Model L. Pardo et al. 10.1175/JAS-D-20-0099.1
- Limitations of Bin and Bulk Microphysics in Reproducing the Observed Spatial Structure of Light Precipitation M. Witte et al. 10.1175/JAS-D-21-0134.1
- Impact of Giant Sea Salt Aerosol Particles on Precipitation in Marine Cumuli and Stratocumuli: Lagrangian Cloud Model Simulations P. Dziekan et al. 10.1175/JAS-D-21-0041.1
- 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
- Roles of Drop Size Distribution and Turbulence in Autoconversion Based on Lagrangian Cloud Model Simulations D. Oh & Y. Noh 10.1029/2022JD036495
- Super‐Droplet Method to Simulate Lagrangian Microphysics of Nuclear Fallout in a Homogeneous Cloud D. McGuffin et al. 10.1029/2022JD036599
- Collision Fluctuations of Lucky Droplets with Superdroplets X. Li et al. 10.1175/JAS-D-20-0371.1
- Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds J. Lee et al. 10.5194/acp-24-5737-2024
- 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
- 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 10.5194/gmd-15-4489-2022
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
A new numerical model for clouds is presented. It is designed for detailed studies of the small-scale behavior of cloud droplets within a domain large enough to model cloud field. To achieve this, droplets are modeled in a Lagrangian manner and calculations are done on GPU accelerators. Comparison with models that use Eulerian descriptions of droplets reveals discrepancies in the amount of precipitation. This suggests that some effects important for rain production are missing in current models.
A new numerical model for clouds is presented. It is designed for detailed studies of the...