Name | s2stools JSON |
Version |
0.4.0
JSON |
| download |
home_page | |
Summary | Tools for working with s2s forecast data |
upload_time | 2024-01-24 09:15:05 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.8 |
license | BSD-3-Clause |
keywords |
atmosphere
weather
climate
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
========
s2stools
========
.. image:: https://readthedocs.org/projects/s2stools/badge/?version=latest
:target: https://s2stools.readthedocs.io/en/latest/
:alt: Documentation Status
.. image:: https://img.shields.io/pypi/v/s2stools.svg
:target: https://img.shields.io/pypi/v/s2stools
Documentation
-------------
Documentation on readthedocs: https://s2stools.readthedocs.io
Install
-------
s2stools is available on PyPI and can be installed with pip::
pip install s2stools
Features
--------
- data handling: combine different init dates, realtime forecasts, hindcasts, control and perturbed forecasts\
into one `xr.Dataset` by introducing dimensions `reftime`, `hc_year`, `leadtime`
- simultaneous use ``leadtime`` and ``validtime``
- climatology and deseasonalization
- find events in forecasts and create composites
- and more...
Acknowledgments
---------------
Jonas Spaeth is supported by the Transregional Collaborative Research Center “Waves to Weather” (W2W; SFB/TRR165).
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