https://github.com/clima/pycles

A python based infrastructure for cloud large eddy simulation.

https://github.com/clima/pycles

Science Score: 33.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 22 DOI reference(s) in README
  • Academic publication links
    Links to: wiley.com
  • Committers with academic emails
    5 of 16 committers (31.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.0%) to scientific vocabulary

Keywords from Contributors

climate climate-change data-assimilation fluid-dynamics oceanography
Last synced: 10 months ago · JSON representation

Repository

A python based infrastructure for cloud large eddy simulation.

Basic Info
  • Host: GitHub
  • Owner: CliMA
  • License: gpl-3.0
  • Language: Fortran
  • Default Branch: master
  • Size: 92.7 MB
Statistics
  • Stars: 16
  • Watchers: 13
  • Forks: 3
  • Open Issues: 4
  • Releases: 2
Created over 7 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

Python Cloud Large Eddy Simulation, or PyCLES (pronounced pickles), is a massively parallel anelastic atmospheric large eddy simulation infrastructure designed to simulate boundary layer clouds and deep convection. PyCLES is written in Python, Cython, and C. It was primarily developed by Kyle Pressel and Colleen Kaul as part of the Climate Dynamics Group at both the California Institute of Technology and ETH Zurich.

The model formulation is describe in detail in:

Pressel, K. G., C. M. Kaul, T. Schneider, Z. Tan, and S. Mishra, 2015: Large-eddy simulation in an anelastic framework with closed water and entropy balances. Journal of Advances in Modeling Earth Systems, 7, 1425–1456, doi:10.1002/2015MS000496.

PyCLES Related Publications:

Zhang, X., T. Schneider, and C. M. Kaul, 2018: Arctic mixed-phase clouds in large-eddy simulations and a mixed-layer model. Journal of Advances in Modeling Earth Systems, submitted. PDF

Tan, Z., C. M. Kaul, K. G. Pressel, Y. Cohen, T. Schneider, and J. Teixeira, 2018: An extended eddy-diffusivity mass-flux scheme for unified representation of subgrid-scale turbulence and convection. Journal of Advances in Modeling Earth Systems, In Press. Early Release

Pressel, K. G., S. Mishra, T. Schneider, C. M. Kaul, Z. Tan, 2017: Numerics and subgrid-scale modeling in large eddy simulations of stratocumulus clouds. Journal of Advances in Modeling Earth Systems, 9, 1342-1365, doi:10.1002/2016MS000778.

Tan, Z., T. Schneider, J. Teixeira, and K. G. Pressel, 2017: Large-eddy simulation of subtropical cloud-topped boundary layers: 2. Cloud response to climate change. Journal of Advances in Modeling Earth Systems, 9, 19-38, doi:10.1002/2016MS000804.

Schneider, T., J. Teixeira, C. S. Bretherton, F. Brient, K. G. Pressel, C. Schär, and A. P. Siebesma, 2017: Climate goals and computing the future of clouds. Nature Climate Change, 7, 3-5, doi:10.1038/nclimate3190.

Tan, Z., T. Schneider, J. Teixeira, and K. G. Pressel, 2016: Large-eddy simulation of subtropical cloud-topped boundary layers: 1. A forcing framework with closed surface energy balance. Journal of Advances in Modeling Earth Systems, 8, 1565-1585, doi:10.1002/2016MS000655.

Pressel, K. G., C. M. Kaul, T. Schneider, Z. Tan, and S. Mishra, 2015: Large-eddy simulation in an anelastic framework with closed water and entropy balances. Journal of Advances in Modeling Earth Systems, 7, 1425–1456, doi:10.1002/2015MS000496.

Ait-Chaalal, F., T. Schneider, B. Meyer, and B. Marston, 2016: Cumulant expansions for atmospheric flows. New Journal of Physics, 18, 025019, doi:10.1088/1367-2630/18/2/025019.

Owner

  • Name: Climate Modeling Alliance
  • Login: CliMA
  • Kind: organization
  • Email: clima@caltech.edu

An alliance of scientists, engineers and applied mathematicians, dedicated to pioneering a new, data-informed approach to climate modeling

GitHub Events

Total
  • Watch event: 2
  • Fork event: 1
Last Year
  • Watch event: 2
  • Fork event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 889
  • Total Committers: 16
  • Avg Commits per committer: 55.563
  • Development Distribution Score (DDS): 0.462
Past Year
  • Commits: 3
  • Committers: 1
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Kyle Pressel p****k@e****h 478
cmkaul c****l@g****m 206
yairchn y****n@c****u 98
Colleen Kaul c****l@e****h 28
Anna Jaruga a****a@c****u 23
Jia j****h@g****m 21
pressel K****l 9
Zhaoyi Shen p****y@g****m 8
Kyle Pressel k****l@c****u 8
James Penn j****s@j****k 3
Charles Kawczynski k****s@g****m 2
tomchor t****r@g****m 1
Sally X. Zhang s****e 1
Colleen Kaul c****l 1
Chiel van Heerwaarden c****n@g****m 1
Katrin Leinweber k****i@p****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 10
  • Total pull requests: 23
  • Average time to close issues: 7 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 3
  • Total pull request authors: 6
  • Average comments per issue: 0.5
  • Average comments per pull request: 1.83
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • trontrytel (5)
  • szy21 (4)
  • claresinger (1)
Pull Request Authors
  • yairchn (7)
  • szy21 (6)
  • trontrytel (4)
  • jiahe23 (3)
  • charleskawczynski (2)
  • katrinleinweber (1)
Top Labels
Issue Labels
bug (4) Continuous integration :gear: (1) help wanted (1)
Pull Request Labels
Continuous integration :gear: (2)