Skip to content

Commit

Permalink
update docs
Browse files Browse the repository at this point in the history
  • Loading branch information
raoulcollenteur committed Jul 7, 2024
1 parent 4a3b256 commit 0a304c1
Show file tree
Hide file tree
Showing 2 changed files with 4 additions and 10 deletions.
1 change: 0 additions & 1 deletion docs/conf.py
Original file line number Diff line number Diff line change
Expand Up @@ -129,7 +129,6 @@ class MyReferenceStyle(AuthorYearReferenceStyle):
html_show_sourcelink = True

html_theme_options = {
"github_url": "https://github.com/pyet-org/pyet",
"use_edit_page_button": True,
"header_links_before_dropdown": 6,
"icon_links": [
Expand Down
13 changes: 4 additions & 9 deletions docs/index.rst
Original file line number Diff line number Diff line change
@@ -1,9 +1,7 @@
*pyet* - Estimation of Potential Evapotranspiration
===================================================

*pyet* is an open source Python package for the estimation of reference and potential evapotranspiration (PET) from
time series data (`Pandas <https://pandas.pydata.org>`_) and gridded data (`Xarray <https://xarray.dev>`_). This
allows users to estimate potential evapotranspiration and calibrate the models with just a few lines of python code.
*pyet* is an open source Python package for the estimation of reference and potential evapotranspiration (PET) from time series data (`Pandas <https://pandas.pydata.org>`_) and gridded data (`Xarray <https://xarray.dev>`_). This allows users to estimate potential evapotranspiration and calibrate the models with just a few lines of python code.

.. grid::

Expand Down Expand Up @@ -251,11 +249,8 @@ Currently, 18 methods are implemented for calculating daily PET
Using *pyet*? Show your support by citing us!
-----------------------------
---------------------------------------------

If you find *pyet* useful and use it in your research or project, we kindly ask you to cite
the *pyet* preprint published in Hydrology and Earth System Sciences (HESS) as follows:
If you find *pyet* useful and use it in your research or project, we kindly ask you to cite the *pyet* preprint published in Hydrology and Earth System Sciences (HESS) as follows:

- Vremec, M., Collenteur, R. A., and Birk, S.: Technical note: Improved handling of potential
evapotranspiration in hydrological studies with PyEt, Hydrol. Earth Syst. Sci. Discuss.
[preprint], https://doi.org/10.5194/hess-2022-417, 2023.
- Vremec, M., Collenteur, R., and Birk, S.: PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2024-63, in review, 2024.

0 comments on commit 0a304c1

Please sign in to comment.