flux-data-qaqc

Provides a framework to create reproducible workflows for validation and analysis of eddy covariance data.
https://github.com/Open-ET/flux-data-qaqc

Category: Atmosphere
Sub Category: Meteorological Observation and Forecast

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Repository metadata

Energy Balance Closure Analysis and Eddy Flux Data Post-Processing

• Host: GitHub
• URL: https://github.com/Open-ET/flux-data-qaqc
• Owner: Open-ET
• License: bsd-3-clause
• Created: 2019-04-17T22:02:38.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2025-02-24T17:32:18.000Z (2 months ago)
• Last Synced: 2025-03-04T20:01:46.708Z (about 2 months ago)
• Language: Python
• Homepage:
• Size: 115 MB
• Stars: 28
• Watchers: 10
• Forks: 14
• Open Issues: 2
• Releases: 4
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • License: LICENSE.txt

README.rst

          .. image:: https://readthedocs.org/projects/flux-data-qaqc/badge/?version=latest
   :target: https://flux-data-qaqc.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

.. image:: https://github.com/Open-ET/flux-data-qaqc/actions/workflows/fluxdataqaqc_tests.yml/badge.svg
   :target: https://github.com/Open-ET/flux-data-qaqc/actions/workflows/fluxdataqaqc_tests.yml
   :alt: Automated tests

flux-data-qaqc
================

``flux-data-qaqc`` provides a framework to create reproducible workflows for validation and analysis of eddy covariance data. The package is intended for those who need to post-process flux data, particularly for generating daily and monthly evapotranspiration (ET) timeseries estimates with energy balance closure corrections applied. Applications where this software may be useful include analysis of eddy covariance data, hydrologic or atmospheric model validation, and irrigation and water consumption studies. 

Key functionalities and tools include:

* data validation with methods for quality-based filtering
* time series tools, e.g. gap-filling and temporal aggregation
* energy balance closure algorithms and other meterological calculations
* data provenance, e.g. from metadata management and file structure
* downloading and management of `gridMET `__ meterological data
* customizable and interactive visualizations
* built-in unit conversions and batch processing tools

Documentation
-------------

`ReadTheDocs `_

Installation
------------

Using PIP:

.. code-block:: bash

   pip install fluxdataqaqc

PIP should install the necessary dependencies however it is recommended to use
conda and first install the provided virtual environment. This is useful to
avoid changing your local Python environment. Note, ``flux-data-qaqc`` has been
tested for Python 3.7+, although it may work with versions greater than or
equal to 3.4.

First make sure you have the ``fluxdataqaqc`` environment file, you can download it `here `_. Next to install run,

.. code-block:: bash

   conda env create -f environment.yml

To activate the environment before using the ``flux-data-qaqc`` package run,

.. code-block:: bash

   conda activate fluxdataqaqc

Now install using PIP:

.. code-block:: bash

   pip install fluxdataqaqc

Now all package modules and tools should be available in your Python environment PATH and able to be imported. Note if you did not install the Conda virtual environment above, PIP should install dependencies automatically but be sure to be using a version of Python above or equal to 3.4. To test that everything has installed correctly by opening a Python interpretor or IDE and run the following:

.. code-block:: python

   import fluxdataqaqc

and 

.. code-block:: python

   from fluxdataqaqc import Data, QaQc, Plot

If everything has been installed correctly you should get no errors. 


How to cite
-----------

Volk et al., (2021). flux-data-qaqc: A Python Package for Energy Balance Closure and Post-Processing of Eddy Flux Data. Journal of Open Source Software, 6(66), 3418, https://doi.org/10.21105/joss.03418


        

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Owner metadata

• Name: Open ET
• Login: Open-ET
• Email:
• Kind: organization
• Description: Repositories for the Open ET project, which aims to provide open and easily accessible evapotranspiration data for improved water management
• Website: https://etdata.org/
• Location:
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/18035656?v=4
• Repositories: 5
• Last ynced at: 2023-03-02T23:35:23.877Z
• Profile URL: https://github.com/Open-ET

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GitHub Events

Total

• Release event: 1
• Watch event: 4
• Issue comment event: 1
• Member event: 1
• Push event: 1
• Fork event: 1
• Create event: 1

Last Year

• Release event: 1
• Watch event: 4
• Issue comment event: 1
• Member event: 1
• Push event: 1
• Fork event: 1
• Create event: 1

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Committers metadata

Last synced: 6 days ago

Name	Email	Commits
John Volk	j****8@g****m	179
dependabot[bot]	4****]	18
Christian Dunkerly	c****y@d****u	11
Paul	p****t@u****v	2
Pierre de Buyl	p****l@p****e	1
David Ketchum	d****m	1

Committer domains:

• pdebuyl.be: 1
• utah.gov: 1
• dri.edu: 1

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Issue and Pull Request metadata

Last synced: 1 day ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/Open-ET/flux-data-qaqc

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Package metadata

• Total packages: 1
• Total downloads:
  • pypi: 799 last-month
• Total dependent packages: 0
• Total dependent repositories: 1
• Total versions: 21
• Total maintainers: 1

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Dependencies

Score: 11.87881779795857