Articles | Volume 5, issue 2
https://doi.org/10.5194/wcd-5-703-2024
https://doi.org/10.5194/wcd-5-703-2024
Meeting summary
 | 
02 May 2024
Meeting summary |  | 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

Related subject area

Other aspects of weather and climate dynamics
Elevation-dependent warming: observations, models, and energetic mechanisms
Michael P. Byrne, William R. Boos, and Shineng Hu
EGUsphere, https://doi.org/10.5194/egusphere-2024-31,https://doi.org/10.5194/egusphere-2024-31, 2024
Short summary
Waviness of the Southern Hemisphere wintertime polar and subtropical jets
Jonathan E. Martin and Taylor Norton
Weather Clim. Dynam., 4, 875–886, https://doi.org/10.5194/wcd-4-875-2023,https://doi.org/10.5194/wcd-4-875-2023, 2023
Short summary
The importance of regional sea-ice variability for the coastal climate and near-surface temperature gradients in Northeast Greenland
Sonika Shahi, Jakob Abermann, Tiago Silva, Kirsty Langley, Signe Hillerup Larsen, Mikhail Mastepanov, and Wolfgang Schöner
Weather Clim. Dynam., 4, 747–771, https://doi.org/10.5194/wcd-4-747-2023,https://doi.org/10.5194/wcd-4-747-2023, 2023
Short summary
Decadal variability and trends in extratropical Rossby wave packet amplitude, phase, and phase speed
Georgios Fragkoulidis
Weather Clim. Dynam., 3, 1381–1398, https://doi.org/10.5194/wcd-3-1381-2022,https://doi.org/10.5194/wcd-3-1381-2022, 2022
Short summary
Stratospheric intrusion depth and its effect on surface cyclogenetic forcing: an idealized potential vorticity (PV) inversion experiment
Michael A. Barnes, Thando Ndarana, Michael Sprenger, and Willem A. Landman
Weather Clim. Dynam., 3, 1291–1309, https://doi.org/10.5194/wcd-3-1291-2022,https://doi.org/10.5194/wcd-3-1291-2022, 2022
Short summary

Cited articles

Ahrens, J., Geveci, B., and Law, C.: ParaView: An End-User Tool for Large-Data Visualization, in: Visualization Handbook, edited by: Johnson, C. R. and Hansen, C. D., Elsevier, 717–731, https://doi.org/10.1016/B978-012387582-2/50038-1, 2005. a
Ayachit, U.: The paraview guide: a parallel visualization application, Kitware, Inc., NY, USA, 276 pp., ISBN 978-1-930934-30-6, 2015. a
Bryan, G.: CM1 Homepage, https://www2.mmm.ucar.edu/people/bryan/cm1/ (last access: 29 August 2023), 2021. a, b, c
Bryan, G. H. and Fritsch, J. M.: A benchmark simulation for moist nonhydrostatic numerical models, Mon. Weather Rev., 130, 2917–2928, https://doi.org/10.1175/1520-0493(2002)130<2917:ABSFMN>2.0.CO;2, 2002. a, b
Coiffier, J.: Fundamentals of numerical weather prediction, Cambridge University Press, ISBN 9781107001039, 2011. a
Download
Short summary
We present course contents and results of a 2-week educational block course with a 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.