Preprints
https://doi.org/10.5194/egusphere-2023-2700
https://doi.org/10.5194/egusphere-2023-2700
17 Nov 2023
 | 17 Nov 2023

Meeting Summary: Exploring Cloud Dynamics with Cloud Model 1 and 3D Visualization – insights from a University Modeling Workshop

Lisa Schielicke, Yidan Li, Jerome Schyns, Aaron Sperschneider, Jose Pablo Solano Marchini, and Christoph Peter Gatzen

Abstract. We introduce an innovative two-week educational block course held at the University of Bonn during the 2023 winter semester, focusing on Cloud Model 1 (CM1) and its convection-permitting capabilities. During the course, students gained essential skills in setting up and customizing CM1 simulations on high-performance computing clusters, while delving into deep moist convection dynamics. An additional introduction to three-dimensional visualization software allowed the participants to transform numerical data into compelling visualizations, deepening their insights into cloud dynamics. Students applied their gained knowledge in research projects of their own choice that will be presented here and in the supplementary material.

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Journal article(s) based on this preprint

02 May 2024
Meeting summary: Exploring cloud dynamics with Cloud Model 1 and 3D visualization – insights from a university modeling workshop
Lisa Schielicke, Yidan Li, Jerome Schyns, Aaron Sperschneider, Jose Pablo Solano Marchini, and Christoph Peter Gatzen
Weather Clim. Dynam., 5, 703–710, https://doi.org/10.5194/wcd-5-703-2024,https://doi.org/10.5194/wcd-5-703-2024, 2024
Short summary
Lisa Schielicke, Yidan Li, Jerome Schyns, Aaron Sperschneider, Jose Pablo Solano Marchini, and Christoph Peter Gatzen

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2700', Anonymous Referee #1, 11 Dec 2023
    • AC1: 'Reply on RC1', Lisa Schielicke, 03 Feb 2024
  • RC2: 'Comment on egusphere-2023-2700', Anonymous Referee #2, 12 Dec 2023
    • AC2: 'Reply on RC2', Lisa Schielicke, 03 Feb 2024

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2700', Anonymous Referee #1, 11 Dec 2023
    • AC1: 'Reply on RC1', Lisa Schielicke, 03 Feb 2024
  • RC2: 'Comment on egusphere-2023-2700', Anonymous Referee #2, 12 Dec 2023
    • AC2: 'Reply on RC2', Lisa Schielicke, 03 Feb 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lisa Schielicke on behalf of the Authors (02 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (05 Mar 2024) by Heini Wernli
RR by Anonymous Referee #1 (13 Mar 2024)
RR by Anonymous Referee #2 (20 Mar 2024)
ED: Publish subject to technical corrections (20 Mar 2024) by Heini Wernli
AR by Lisa Schielicke on behalf of the Authors (22 Mar 2024)  Author's response   Manuscript 

Journal article(s) based on this preprint

02 May 2024
Meeting summary: Exploring cloud dynamics with Cloud Model 1 and 3D visualization – insights from a university modeling workshop
Lisa Schielicke, Yidan Li, Jerome Schyns, Aaron Sperschneider, Jose Pablo Solano Marchini, and Christoph Peter Gatzen
Weather Clim. Dynam., 5, 703–710, https://doi.org/10.5194/wcd-5-703-2024,https://doi.org/10.5194/wcd-5-703-2024, 2024
Short summary
Lisa Schielicke, Yidan Li, Jerome Schyns, Aaron Sperschneider, Jose Pablo Solano Marchini, and Christoph Peter Gatzen
Lisa Schielicke, Yidan Li, Jerome Schyns, Aaron Sperschneider, Jose Pablo Solano Marchini, and Christoph Peter Gatzen

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
We present course contents and results of a two-week educational block course with focus on Cloud Model 1 (CM1) and 3D visualization. Through hands-on experience, students gained skills in setting up and customizing the model and visualizing its output in 3D. The research aimed to bridge the gap between classroom learning and practical applications, fostering a deeper understanding of convective processes and preparing students for future careers in the field.