A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP)
Project description
pyffp
A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP)
Installation
conda env create -f environment.yml
pip install --upgrade -e .
Demo
https://nbviewer.org/github/jsta/pyffp/blob/main/docs/notebooks/pyffp_demo.ipynb
Testing
python -m pytest
Citation: Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.: A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP), Geosci. Model Dev., 8, 3695-3713, 2015. https://footprint.kljun.net/index.php
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
pyffp-0.0.2.tar.gz
(13.6 kB
view details)
Built Distribution
pyffp-0.0.2-py3-none-any.whl
(17.6 kB
view details)
File details
Details for the file pyffp-0.0.2.tar.gz
.
File metadata
- Download URL: pyffp-0.0.2.tar.gz
- Upload date:
- Size: 13.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1be5fad0f0f814145a46bb2abb73abd35494e49f1590b2966df62ca002e861a7 |
|
MD5 | c115cc6f4eed3bd0dca7587d7cc4d99c |
|
BLAKE2b-256 | 3a9c7fcd4156f02cf066259f2a01073e9d00ddf9fc49cad94c1d7ae9138c94c3 |
File details
Details for the file pyffp-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: pyffp-0.0.2-py3-none-any.whl
- Upload date:
- Size: 17.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 811420b5493022ae42c20b4491cae463577d3917eb091b01aeada070ea973169 |
|
MD5 | 07891babf70fa7e8319e9e4f170eeb8e |
|
BLAKE2b-256 | 1de717b5efa8163e2efc4def75980968f58bcfbd256c5cf6c2737870e184f9bc |