EMC2

Earth Model Column Collabratory

https://github.com/ARM-DOE/EMC2

Science Score: 49.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    7 of 14 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.0%) to scientific vocabulary

Keywords from Contributors

atmospheric-science meteorology corrections meteorological-data retrieval
Last synced: 7 months ago · JSON representation

Repository

Earth Model Column Collabratory

Basic Info
Statistics
  • Stars: 10
  • Watchers: 3
  • Forks: 7
  • Open Issues: 2
  • Releases: 13
Created over 6 years ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License

README.rst

EMC²: the Earth Model Column Collaboratory
==========================================

.. image:: https://img.shields.io/pypi/v/emc2.svg
    :target: https://pypi.python.org/pypi/emc2
    :alt: Latest PyPI version

.. image:: https://travis-ci.org/ARM-DOE/EMC2.png
   :target: https://travis-ci.org/ARM-DOE/EMC2
   :alt: Latest Travis CI build status

The Earth Model Column Collaboratory (EMC²) is an open-source framework for
atmospheric model evaluation against observational data and model
intercomparisons. It consisting of an instrument simulator and a sub-column
generator, which enables statistically emulating a higher spatial resolution.
This framework is specifically designed to simulate the `Atmospheric
Radiation Measurement (ARM) User Facility `_ remote-
sensing measurements while being faithful to the representation of physical
processes and sub-grid scale assumptions in various state-of-the-art models,
thereby serving as a practical bridge between observations and models.


Detailed description of EMC² is provided in Silber et al. (GMD, 2022;
https://doi.org/10.5194/gmd-15-901-2022).


Useful links
============

- source code repository: https://github.com/ARM-DOE/EMC2
- EMC² Documentation: https://arm-doe.github.io/EMC2
- EMC² tutorial (from the 2022 ARM Open-Science Workshop): https://github.com/ARM-Development/ARM-Notebooks/blob/main/Tutorials/Open-Science-Workshop-2022/tutorials/EMC2_demo_w_E3SM.ipynb


Citing
======

If the Earth Model Column Collaboratory (EMC²) is used in your manuscript,
please cite:

    Silber, I., Jackson, R. C., Fridlind, A. M., Ackerman, A. S., Collis, S.,
    Verlinde, J., and Ding, J.: The Earth Model Column Collaboratory (EMC2)
    v1.1: an open-source ground-based lidar and radar instrument simulator and
    subcolumn generator for large-scale models, Geosci. Model Dev., 15,
    901–927, https://doi.org/10.5194/gmd-15-901-2022, 2022.

and references therein.


Installation
============

In order to install EMC², you can use either pip or anaconda. In a terminal, simply type either of::

$ pip install emc2
$ conda install -c conda-forge emc2

In addition, if you want to build EMC² from source and install, type in the following commands::

$ git clone https://github.com/ARM-DOE/EMC2
$ cd EMC2
$ pip install .


Dependencies
============

EMC² requires Python 3.10+ as well as: 
   * Atmoshperic Community Toolkit (https://arm-doe.github.io/ACT) 
   * Numpy (https://numpy.org)
   * Scipy (https://scipy.org)
   * Matplotlib (https://matplotlib.org)
   * Xarray (http://xarray.pydata.org)
   * Pandas (https://pandas.pydata.org/)
   * matplotlib (https://matplotlib.org/)
   * netCDF4 (https://github.com/Unidata/netcdf4-python)


Contributions
=============

As its acronym suggests, EMC² is a collaboratory...
Contributions are welcome and encouraged, provided that the code can be
distributed under the BSD 3-clause license (see the LICENSE.txt file).
See the  `contributor's guide. `_ for more information.

Owner

  • Name: ARM User Facility
  • Login: ARM-DOE
  • Kind: organization

GitHub Events

Total
  • Create event: 5
  • Issues event: 1
  • Release event: 4
  • Delete event: 2
  • Issue comment event: 4
  • Push event: 23
  • Pull request event: 23
Last Year
  • Create event: 5
  • Issues event: 1
  • Release event: 4
  • Delete event: 2
  • Issue comment event: 4
  • Push event: 23
  • Pull request event: 23

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 489
  • Total Committers: 14
  • Avg Commits per committer: 34.929
  • Development Distribution Score (DDS): 0.397
Past Year
  • Commits: 62
  • Committers: 3
  • Avg Commits per committer: 20.667
  • Development Distribution Score (DDS): 0.048
Top Committers
Name Email Commits
Israel Silber i****4@p****u 295
Jackson r****n@a****v 101
Robert Clyde Jackson r****n@c****v 35
Robert Jackson r****n@R****l 18
Robert Jackson r****n@R****l 9
Scott Collis s****f@g****m 8
Robert Jackson r****n@R****l 6
JingjingTina j****5@g****m 5
McKenna Stanford m****5@c****u 3
mengz1993 8****3 3
Max Grover m****x@g****m 2
Robert Jackson r****n@c****v 2
Robert Jackson r****n@e****v 1
Robert Jackson r****n@e****v 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 11
  • Total pull requests: 105
  • Average time to close issues: 3 months
  • Average time to close pull requests: 4 days
  • Total issue authors: 3
  • Total pull request authors: 6
  • Average comments per issue: 1.36
  • Average comments per pull request: 0.37
  • Merged pull requests: 99
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 1
  • Pull requests: 33
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Issue authors: 1
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.15
  • Merged pull requests: 30
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • isilber (7)
  • rcjackson (3)
  • nandroski (1)
Pull Request Authors
  • isilber (78)
  • rcjackson (21)
  • JingjingTina (2)
  • mengz1993 (2)
  • mckenna-stanford-columbia (1)
  • dependabot[bot] (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (1) github_actions (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 424 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 16
  • Total maintainers: 2
pypi.org: emc2

An open source framework for atmospheric model evaluation using observational data

  • Versions: 16
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 424 Last month
Rankings
Dependent packages count: 7.3%
Forks count: 15.4%
Average: 18.2%
Stargazers count: 18.5%
Dependent repos count: 22.1%
Downloads: 27.8%
Maintainers (2)
Last synced: 7 months ago

Dependencies

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