- Physical Review Journals
All JournalsPhysics Magazine
Access Provided by Xinjiang University

Physical Review Fluids

Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Gallery of Fluid Motion
  • Open Access
  • Access by Xinjiang University

Large-eddy simulation of cumulus clouds

Georgios Matheou*

  • Department of Mechanical Engineering, University of Connecticut, 191 Auditorium Road, Storrs, Connecticut 06269-3139, USA

  • *matheou@uconn.edu
PDF

Phys. Rev. Fluids 7, 110507 – Published 7 November, 2022

DOI: https://doi.org/10.1103/PhysRevFluids.7.110507

Abstract

This paper is associated with a video winner of a 2021 American Physical Society's Division of Fluid Dynamics (DFD) Gallery of Fluid Motion Award for work presented at the DFD Gallery of Fluid Motion. The original video is available online at the Gallery of Fluid Motion, https://doi.org/10.1103/APS.DFD.2021.GFM.V0013.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (9)

  1. P. A. Ariasand, N. Bellouin, E. Coppola, R. Jones, G. Krinner, J. Marotzke, V. Naik, M. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P. Thorne, B. Trewin, K. A. Rao, B. Adhikary, R. Allan, K. Armour, G. Bala et al., Technical Summary, in Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by V. Masson-Delmotte, P. Zhai, A. Pirani, S. Connors, C. Péan, N. C. S. Berger, Y. Chen, L. Goldfarb, M. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. Matthews, T. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (Cambridge University Press, Cambridge, New York, 2021), pp. 33–144.
  2. J. Teixeira, B. Stevens, C. S. Bretherton, R. Cederwall, J. D. Doyle, J. C. Golaz, A. A. M. Holtslag, S. A. Klein, J. K. Lundquist, D. A. Randall, A. P. Siebesma, and P. M. M. Soares, Parameterization of the atmospheric boundary layer: A view from just above the inversion, Bull. Am. Meteor. Soc. 89, 453 (2008).
  3. J. Z. Holland and E. M. Rasmusson, Measurements of the atmospheric mass, energy, and momentum budgets over a 500-kilometer square of tropical ocean, Mon. Weather Rev. 101, 44 (1973).
  4. A. P. Siebesma, C. S. Bretherton, A. Brown, A. Chlond, J. Cuxart, P. G. Duynkerke, H. Jiang, M. Khairoutdinov, D. Lewellen, C.-H. Moeng, E. Sanchez, B. Stevens, and D. Stevens, A large eddy simulation intercomparison study of shallow cumulus convection, J. Atmos. Sci. 60, 1201 (2003).
  5. G. Matheou and D. Chung, Large-eddy simulation of stratified turbulence. Part II: Application of the stretched-vortex model to the atmospheric boundary layer, J. Atmos. Sci. 71, 4439 (2014).
  6. D. Chung and G. Matheou, Large-eddy simulation of stratified turbulence. Part I: A vortex-based subgrid-scale model, J. Atmos. Sci. 71, 1863 (2014).
  7. N. Villefranque, R. Fournier, F. Couvreux, S. Blanco, C. Cornet, V. Eymet, V. Forest, and J.-M. Tregan, A path-tracing Monte Carlo library for 3-D radiative transfer in highly resolved cloudy atmospheres, J. Adv. Model. Earth Syst. 11, 2449 (2019).
  8. J. D. Hunter, Matplotlib: A 2D graphics environment, Comput. Sci. Eng. 9, 90 (2007).
  9. H. Childs, E. Brugger, B. Whitlock, J. Meredith, S. Ahern, D. Pugmire, K. Biagas, M. Miller, C. Harrison, G. H. Weber, H. Krishnan, T. Fogal, A. Sanderson, C. Garth, E. W. Bethel, D. Camp, O. Rübel, M. Durant, J. M. Favre, and P. Navrátil, VisIt: An end-user tool for visualizing and analyzing very large data, in High Performance Visualization–Enabling Extreme-Scale Scientific Insight (CRC Press/Francis–Taylor Group, Boca Raton, FL, 2012), pp. 357–372.

Outline

Information

Phys. Rev. Fluids 7, 110507– Published 7 November, 2022
  • Received 19 May 2022
Crossmark - Check for updates button
Creative Commons Logo

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation