hesseflux 4.0

hesseflux: a Python library to process and post-process Eddy covariance data

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 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:

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

or via conda:

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.