https://github.com/mcuntz/hesseflux
hesseflux provides functions used in the processing and post-processing of the Eddy covariance flux data of the ICOS ecosystem site FR-Hes.
https://github.com/mcuntz/hesseflux
eddy-covariance filter gap-filling gpp imputation mad python spikes ustar
Last synced: 5 months ago
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hesseflux provides functions used in the processing and post-processing of the Eddy covariance flux data of the ICOS ecosystem site FR-Hes.
- Host: GitHub
- URL: https://github.com/mcuntz/hesseflux
- Owner: mcuntz
- License: other
- Created: 2020-05-03T22:14:28.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-11-02T22:51:47.000Z (over 1 year ago)
- Last Synced: 2025-08-18T22:47:28.706Z (10 months ago)
- Topics: eddy-covariance, filter, gap-filling, gpp, imputation, mad, python, spikes, ustar
- Language: Python
- Homepage:
- Size: 8.92 MB
- Stars: 9
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- License: LICENSE
Awesome Lists containing this project
README
hesseflux
=========
..
pandoc -f rst -o README.html -t html README.rst
``hesseflux`` provides functions used in the processing and post-processing of
the Eddy covariance flux data of the ICOS_ ecosystem site FR-Hes_.
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3831488.svg
:target: https://doi.org/10.5281/zenodo.3831488
:alt: Zenodo DOI
.. image:: https://badge.fury.io/py/hesseflux.svg
:target: https://badge.fury.io/py/hesseflux
:alt: PyPI version
..
.. image:: https://img.shields.io/conda/vn/conda-forge/pyjams.svg
:target: https://anaconda.org/conda-forge/pyjams
:alt: Conda version
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:target: https://github.com/mcuntz/hesseflux/blob/master/LICENSE
:alt: License
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:target: https://github.com/mcuntz/hesseflux/actions/workflows/main.yml
:alt: Build Status
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:target: https://coveralls.io/github/mcuntz/hesseflux
:alt: Coverage Status
About hesseflux
---------------
``hesseflux`` collects functions used for processing Eddy covariance data of the
ICOS_ ecosystem site FR-Hes_.
The post-processing functionality for Eddy flux data is similar to the R-package
REddyProc_ and includes basically the steps described in `Papale et al.
(Biogeosciences, 2006)`_ plus some extensions such as the daytime method of flux
partitioning (`Lasslop et al., Global Change Biology 2010`_).
Documentation
-------------
The complete documentation for ``hesseflux`` is available at:
https://mcuntz.github.io/hesseflux/
Quick usage guide
-----------------
Post-processing Eddy covariance data that is in europe-fluxdata.eu format
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
An example script that makes all the steps described in `Papale et al.
(Biogeosciences, 2006)`_ is given in the example directory. It is simply called:
.. code-block:: bash
python postproc_europe-fluxdata.py hesseflux_example.cfg
The script is governed by a configuration file in Python's standard
*configparser* format. The example configuration file *hesseflux_example.cfg* is
highly commented. See the `User Guide`_ for a step by step guide through the
script and the configuration file.
Installation
------------
The easiest way to install is via `pip`:
.. code-block:: bash
pip install hesseflux
..
or via `conda`:
.. code-block:: bash
conda install -c conda-forge hesseflux
Requirements
* numpy_
* scipy_
* pandas_
* pyjams_
License
-------
``hesseflux`` is distributed under the MIT License. See the LICENSE_ file for
details.
Copyright (c) 2009-2022 Matthias Cuntz
The project structure ``hesseflux`` has borrowed heavily from welltestpy_
by `Sebastian Müller`_.
.. _ICOS: https://www.icos-cp.eu/
.. _FR-Hes: https://www.icos-france.fr/en/static3/the-network
.. _REddyProc: https://cran.r-project.org/web/packages/REddyProc/index.html
.. _Papale et al. (Biogeosciences, 2006): https://doi.org/10.5194/bg-3-571-2006
.. _Lasslop et al., Global Change Biology 2010: https://doi.org/10.1111/j.1365-2486.2009.02041.x
.. _User Guide: https://mcuntz.github.io/hesseflux/html/userguide.html
.. _numpy: https://numpy.org/
.. _scipy: https://scipy.org/
.. _pandas: https://pandas.pydata.org/
.. _pyjams: https://github.com/mcuntz/pyjams/
.. _welltestpy: https://github.com/GeoStat-Framework/welltestpy/
.. _Sebastian Müller: https://github.com/MuellerSeb