A Python library of functions used in the processing and post-processing of the Eddy covariance flux data of the ICOS ecosystem site FR-Hes.
Project description
hesseflux - Eddy covariance flux data processing of FR-Hes
hesseflux provides functions used in the processing and post-processing of the Eddy covariance flux data of the ICOS ecosystem site FR-Hes.
About hesseflux
hesseflux collects functions used for processing Eddy covariance data of the ICOS ecosystem site FR-Hes.
The package uses several functions of the JAMS Python package
https://github.com/mcuntz/jams_python
The JAMS package and hesseflux are synchronised irregularly.
hesseflux includes a Python port of Logtools, the Logger Tools Software of Olaf Kolle, MPI-BGC Jena, (c) 2012.
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 from Read The Docs.
http://hesseflux.readthedocs.org/en/latest/
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:
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
::
pip install hesseflux
See the installation instructions in the documentation for more information.
Requirements:
License
hesseflux is distributed under the MIT License.
See the LICENSE file for details.
Copyright (c) 2009-2020 Matthias Cuntz
The project structure is based on a template provided by Sebastian Müller.
Contributing to hesseflux
Users are welcome to submit bug reports, feature requests, and code contributions to this project through GitHub.
More information is available in the Contributing guidelines.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file hesseflux-3.2.tar.gz
.
File metadata
- Download URL: hesseflux-3.2.tar.gz
- Upload date:
- Size: 118.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ae6e18396d13d12a9eddc882a40f31d9e5c8627ce68550c070467aed584f7c58 |
|
MD5 | c263d96ab57f67c8ea70da71b60bbd2c |
|
BLAKE2b-256 | e015bc5988b4938c466ba6d894a6ca0c2b0e61244ffaddb514ef22ffc3de4c41 |
File details
Details for the file hesseflux-3.2-py2.py3-none-any.whl
.
File metadata
- Download URL: hesseflux-3.2-py2.py3-none-any.whl
- Upload date:
- Size: 113.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 432752c3d4c8371611ed2900f731a31a0845c4e1a54e6957fdc1610874326725 |
|
MD5 | 4e0020ec20d381bd858a7f75478c6d92 |
|
BLAKE2b-256 | 4e746adc92652c756b06d8197ada49aa92cdc6532bf843f239df9c971dafc3e7 |