Footprint flux models for the interpretation of flux tower measurements
Project description
eddy-footprint: Eddy covariance footprint modeling
A Python library for creating eddy covariance flux footprints using multiple analytical models.
Installation
eddy-footprint can be installed from PyPI as:
python -m pip install eddy_footprint
Or from source as:
python -m pip install git+https://github.com/arctic-carbon/eddy-footprint.git
Note: The required dependencies installed with eddy-footprint are Xarray, SciPy, and NumPy.
Documentation
Documentation is hosted on ReadTheDocs: https://eddy-footprint.readthedocs.io/en/latest
license
All the code in this repository is MIT licensed.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
eddy-footprint-0.2.1.tar.gz
(1.2 MB
view hashes)
Built Distribution
Close
Hashes for eddy_footprint-0.2.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 32beeed651381208a2fce633e2e5aabefc596df10519ee67efb362b8ccfe27a0 |
|
MD5 | 497284b0f2759c2fa129c81fd5fcd13f |
|
BLAKE2b-256 | 66e076cbe72d1d136bc5fdf33198855f618474b6ddbc6d481e553556d24d24ec |