Articles | Volume 8, issue 6
https://doi.org/10.5194/gmd-8-1677-2015
© Author(s) 2015. 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-8-1677-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
libcloudph++ 1.0: a single-moment bulk, double-moment bulk, and particle-based warm-rain microphysics library in C++
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
A. Jaruga
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
H. Pawlowska
CORRESPONDING AUTHOR
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
W. W. Grabowski
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
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31 citations as recorded by crossref.
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- Entrainment and Mixing in Stratocumulus: Effects of a New Explicit Subgrid-Scale Scheme for Large-Eddy Simulations with Particle-Based Microphysics F. Hoffmann & G. Feingold 10.1175/JAS-D-18-0318.1
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31 citations as recorded by crossref.
- 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
- 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
- Stochastic coalescence in Lagrangian cloud microphysics P. Dziekan & H. Pawlowska 10.5194/acp-17-13509-2017
- Monte Carlo Simulations in Aviation Contrail Study: A Review D. Bianco et al. 10.3390/app12125885
- Persistent mixed‐phase states in adiabatic cloud parcels under idealised conditions G. Abade & D. Albuquerque 10.1002/qj.4775
- Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. 10.1080/07055900.2022.2075310
- 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
- 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
- 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
- PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry P. Bartman et al. 10.21105/joss.03219
- 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
- Empirical values and assumptions in the microphysics of numerical models F. Tapiador et al. 10.1016/j.atmosres.2018.09.010
- Entrainment and Mixing in Stratocumulus: Effects of a New Explicit Subgrid-Scale Scheme for Large-Eddy Simulations with Particle-Based Microphysics F. Hoffmann & G. Feingold 10.1175/JAS-D-18-0318.1
- Comparison of Eulerian Bin and Lagrangian Particle-Based Microphysics in Simulations of Nonprecipitating Cumulus W. Grabowski 10.1175/JAS-D-20-0100.1
- Broadening of Cloud Droplet Spectra through Eddy Hopping: Turbulent Entraining Parcel Simulations G. Abade et al. 10.1175/JAS-D-18-0078.1
- Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7 M. de Bruine et al. 10.5194/gmd-12-5177-2019
- A Lagrangian particle-based numerical model for surfactant-laden droplets at macroscales M. Denys et al. 10.1063/5.0101930
- Roles of Drop Size Distribution and Turbulence in Autoconversion Based on Lagrangian Cloud Model Simulations D. Oh & Y. Noh 10.1029/2022JD036495
- libcloudph++ 2.0: aqueous-phase chemistry extension of the particle-based cloud microphysics scheme A. Jaruga & H. Pawlowska 10.5194/gmd-11-3623-2018
- 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
- 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
- A Note on Aerosol Processing by Droplet Collision‐Coalescence F. Hoffmann & G. Feingold 10.1029/2023GL103716
- Broadening of Modeled Cloud Droplet Spectra Using Bin Microphysics in an Eulerian Spatial Domain H. Morrison et al. 10.1175/JAS-D-18-0055.1
- Breakups are complicated: an efficient representation of collisional breakup in the superdroplet method E. de Jong et al. 10.5194/gmd-16-4193-2023
- 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
- 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
- Broadening of Cloud Droplet Spectra through Eddy Hopping: Turbulent Adiabatic Parcel Simulations W. Grabowski & G. Abade 10.1175/JAS-D-17-0043.1
- Collection/aggregation algorithms in Lagrangian cloud microphysical models: rigorous evaluation in box model simulations S. Unterstrasser et al. 10.5194/gmd-10-1521-2017
- Comparison of Eulerian Bin and Lagrangian Particle-Based Schemes in Simulations of Pi Chamber Dynamics and Microphysics W. Grabowski 10.1175/JAS-D-19-0216.1
- Lagrangian condensation microphysics with Twomey CCN activation W. Grabowski et al. 10.5194/gmd-11-103-2018
- On the CCN (de)activation nonlinearities S. Arabas & S. Shima 10.5194/npg-24-535-2017
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Short summary
This paper introduces a free and open-source C++ library of algorithms for representing cloud microphysics in numerical models. In the current release, the library covers three warm-rain schemes: the single- and double-moment bulk schemes, and the particle-based scheme with Monte Carlo coalescence. The three schemes are intended for modelling frameworks of different dimensionalities and complexities ranging from parcel models to multi-dimensional cloud-resolving (e.g. large-eddy) simulations.
This paper introduces a free and open-source C++ library of algorithms for representing cloud...