Improving collisional growth in Lagrangian cloud models: development and verification of a new splitting algorithm

Schwenkel, Johannes; Hoffmann, Fabian; Raasch, Siegfried

doi:https://doi.org/10.5194/gmd-11-3929-2018

Articles | Volume 11, issue 9

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Articles | Volume 11, issue 9

https://doi.org/10.5194/gmd-11-3929-2018

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https://doi.org/10.5194/gmd-11-3929-2018

Articles | Volume 11, issue 9

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Development and technical paper

28 Sep 2018

Development and technical paper |

| 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

Johannes Schwenkel

CORRESPONDING AUTHOR

schwenkel@muk.uni-hannover.de

https://orcid.org/0000-0002-3985-4498

Institute of Meteorology and Climatology, Leibniz Universität Hannover, Hannover, Germany

Fabian Hoffmann

https://orcid.org/0000-0001-5136-0653

Institute of Meteorology and Climatology, Leibniz Universität Hannover, Hannover, Germany

currently at: Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Colorado, USA

currently at: NOAA Earth System Research Laboratory (ESRL) Chemical Sciences Division, Boulder, Colorado, USA

Siegfried Raasch

Institute of Meteorology and Climatology, Leibniz Universität Hannover, Hannover, Germany

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BibTeX: 109
EndNote: 88

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Cumulative views and downloads (calculated since 17 May 2018)

Total article views: 2,044 (including HTML, PDF, and XML)

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Dec 2018	20	9	2	31
Jan 2019	15	14	0	29
Feb 2019	6	5	0	11
Mar 2019	4	4	0	8
Apr 2019	9	5	0	14
May 2019	24	17	0	41
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Jul 2019	15	5	1	21
Aug 2019	15	14	0	29
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Mar 2021	7	4	1	12
Apr 2021	12	4	0	16
May 2021	10	6	0	16
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Apr 2024	27	7	5	39
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Jun 2024	29	2	2	33
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Oct 2024	14	3	1	18
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Nov 2018	25	19	3	47
Dec 2018	20	9	2	31
Jan 2019	15	14	0	29
Feb 2019	6	5	0	11
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Apr 2019	9	5	0	14
May 2019	24	17	0	41
Jun 2019	24	10	0	34
Jul 2019	15	5	1	21
Aug 2019	15	14	0	29
Sep 2019	10	9	0	19
Oct 2019	35	16	0	51
Nov 2019	24	12	0	36
Dec 2019	8	7	0	15
Jan 2020	16	10	2	28
Feb 2020	6	6	0	12
Mar 2020	6	7	1	14
Apr 2020	8	4	0	12
May 2020	9	3	0	12
Jun 2020	9	3	0	12
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Aug 2020	2	3	1	6
Sep 2020	20	5	0	25
Oct 2020	10	8	1	19
Nov 2020	8	11	0	19
Dec 2020	14	9	0	23
Jan 2021	18	7	0	25
Feb 2021	9	8	0	17
Mar 2021	7	4	1	12
Apr 2021	12	4	0	16
May 2021	10	6	0	16
Jun 2021	8	6	0	14
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Mar 2023	38	6	0	44
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Jun 2023	7	8	1	16
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Nov 2023	4	0	4
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Jan 2024	39	3	1	43
Feb 2024	6	9	0	15
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Apr 2024	27	7	5	39
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Oct 2024	14	3	1	18
Nov 2024	13	4	5	22
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Views and downloads (calculated since 17 May 2018)

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Nov 2018	25	19	3	47
Dec 2018	20	9	2	31
Jan 2019	15	14	0	29
Feb 2019	6	5	0	11
Mar 2019	4	4	0	8
Apr 2019	9	5	0	14
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Month	HTML	PDF	XML	Total
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Dec 2018	20	9	2	31
Jan 2019	15	14	0	29
Feb 2019	6	5	0	11
Mar 2019	4	4	0	8
Apr 2019	9	5	0	14
May 2019	24	17	0	41
Jun 2019	24	10	0	34
Jul 2019	15	5	1	21
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Oct 2019	35	16	0	51
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Dec 2019	8	7	0	15
Jan 2020	16	10	2	28
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Dec 2024	10	8	1	19
Jan 2025	11	4	1	16
Feb 2025	36	8	3	47
Mar 2025	10	6	0	16
Apr 2025	7	1	0	8

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Germany	2	448	16
China	3	395	14
United Kingdom	4	47	1
Japan	5	46	1

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China	2	360	17
Germany	3	280	13
Japan	4	39	1
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United States of America	1	373	52
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China	3	35	4
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Cited

Show all Final revised paper only Preprint only

9 citations as recorded by crossref.

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
Overview of the PALM model system 6.0 B. Maronga et al. 10.5194/gmd-13-1335-2020
Modeling of Cloud Microphysics: Can We Do Better? W. Grabowski et al. 10.1175/BAMS-D-18-0005.1
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
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
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
Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 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. 10.5194/gmd-17-5167-2024

9 citations as recorded by crossref.

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
Overview of the PALM model system 6.0 B. Maronga et al. 10.5194/gmd-13-1335-2020
Modeling of Cloud Microphysics: Can We Do Better? W. Grabowski et al. 10.1175/BAMS-D-18-0005.1
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
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
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
Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 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. 10.5194/gmd-17-5167-2024

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Short summary

Lagrangian cloud models are a powerful tool to understand cloud microphysics and are increasingly used in the cloud physics community. In this study we present a method designed to improve the warm cloud precipitation process in such models. Our results indicate that using this method is essential for a proper representation of the collisional process of warm clouds, while maintaining an appropriate computational demand.

Lagrangian cloud models are a powerful tool to understand cloud microphysics and are...

Special issue

Particle-based methods for simulating atmospheric aerosol...