.. SPDX-FileCopyrightText: Contributors to atlite https://github.com/pypsa/atlite
.. SPDX-License-Identifier: CC-BY-4.0
|PyPI version| |Conda version| |Documentation Status| |ci| |codecov| |standard-readme compliant| |MIT-image| |reuse| |black| |pre-commit.ci| |joss| |discord| |stackoverflow|
atlite is a free software, xarray-based Python library for
converting weather data (like wind speeds, solar influx) into energy systems data.
It is designed to be lightweight, keeping computing resource requirements (CPU, RAM) usage low.
It is therefore well suited to be used with big weather datasets.
.. atlite is designed to be modular, so that it can work with any weather .. datasets. It currently has modules for the following datasets:
.. * NCEP Climate Forecast System <http://rda.ucar.edu/datasets/ds094.1/>_ hourly
.. historical reanalysis weather data available on a 0.2 x 0.2 degree global grid
.. * ECMWF ERA5 .. <https://software.ecmwf.int/wiki/display/CKB/ERA5+data+documentation>_ hourly
.. historical reanalysis weather data on an approximately 0.25 x 0.25 deg global
.. grid
.. * EURO-CORDEX Climate Change Projection <http://www.euro-cordex.net/>_
.. three-hourly up until 2100, available on a 0.11 x 0.11 degree grid for Europe
.. * CMSAF SARAH-2 .. <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>_
.. half-hourly historical surface radiation on a 0.05 x 0.05 deg grid available
.. for Europe and Africa (automatically interpolated to a 0.2 deg grid and
.. combined with ERA5 temperature).
atlite can process the following weather data fields and can convert them into following power-system relevant time series for any subsets of a full weather database.
.. image:: doc/workflow_chart.png
.. * Temperature .. * Downward short-wave radiation .. * Upward short-wave radiation .. * Wind .. * Runoff .. * Surface roughness .. * Height maps .. * Soil temperature .. * Dewpoint temperature
.. * Wind power generation for a given turbine type .. * Solar PV power generation for a given panel type .. * Solar thermal collector heat output .. * Hydroelectric inflow (simplified) .. * Heating demand (based on the degree-day approximation)
atlite was initially developed by the Renewable Energy Group <https://fias.uni-frankfurt.de/physics/schramm/renewable-energy-system-and-network-analysis/>_
at FIAS <https://fias.uni-frankfurt.de/>_ to carry out simulations
for the CoNDyNet project <http://condynet.de/>, financed by the
German Federal Ministry for Education and Research (BMBF) <https://www.bmbf.de/en/index.html> as part of the Stromnetze Research Initiative <http://forschung-stromnetze.info/projekte/grundlagen-und-konzepte-fuer-effiziente-dezentrale-stromnetze/>_.
To install you need a working installation running Python 3.6 or above and we strongly recommend using either miniconda or anaconda for package management.
To install the current stable version:
with conda from conda-forge_
.. code:: shell
conda install -c conda-forge atlite
with pip from pypi_
.. code:: shell
pip install atlite
to install the most recent upstream version from GitHub
.. code:: shell
pip install git+https://github.com/pypsa/atlite.git
.. * Install atlite from conda-forge or pypi.
.. * Download one of the weather datasets listed above (ERA5 is downloaded
.. automatically on-demand after the ECMWF
.. cdsapi<https://cds.climate.copernicus.eu/api-how-to> client is
.. properly installed)
.. * Create a cutout, i.e. a geographical rectangle and a selection of
.. times, e.g. all hours in 2011 and 2012, to narrow down the scope -
.. see examples/create_cutout.py <examples/create_cutout.py>_
.. * Select a sparse matrix of the geographical points inside the cutout
.. you want to aggregate for your time series, and pass it to the
.. appropriate converter function - see examples/ <examples/>_
Please check the documentation <https://atlite.readthedocs.io/en/latest>_.
stack overflow <https://stackoverflow.com/questions/tagged/pypsa>_.pypsa mailing list <https://groups.google.com/group/pypsa>_.discord server <https://discord.gg/JTdvaEBb>_.issue tracker <https://github.com/PyPSA/atlite/issues>_.Github repository <https://github.com/PyPSA/atlite>_.Copyright (C) Contributors to atlite https://github.com/pypsa/atlite
See the AUTHORS_ for details.
|MIT-image|
This work is licensed under multiple licences:
MIT_BSD-2-Clause_.CC-BY-4.0_.CC0-1.0_.See the individual files for license details.
.. _free software: http://www.gnu.org/philosophy/free-sw.en.html .. _xarray: http://xarray.pydata.org/en/stable/
.. _conda-forge: https://anaconda.org/conda-forge/atlite .. _pypi: https://pypi.org/project/atlite/%3E .. _GitHub: https://github.com/pypsa/atlite
.. _documentation on getting started: https://atlite.readthedocs.io/en/latest/getting-started.html
.. _AUTHORS: AUTHORS.rst
.. _MIT: LICENSES/MIT.txt .. _BSD-2-Clause: LICENSES/BSD-2-Clause.txt .. _CC-BY-4.0: LICENSES/CC-BY-4.0.txt .. _CC0-1.0: LICENSES/CC0-1.0.txt
.. |PyPI version| image:: https://img.shields.io/pypi/v/atlite.svg :target: https://pypi.python.org/pypi/atlite .. |Conda version| image:: https://img.shields.io/conda/vn/conda-forge/atlite.svg :target: https://anaconda.org/conda-forge/atlite .. |Documentation Status| image:: https://readthedocs.org/projects/atlite/badge/?version=master :target: https://atlite.readthedocs.io/en/master/?badge=master .. |standard-readme compliant| image:: https://img.shields.io/badge/readme%20style-standard-brightgreen.svg?style=flat :target: https://github.com/RichardLitt/standard-readme .. |MIT-image| image:: https://img.shields.io/pypi/l/atlite.svg :target: LICENSES/MIT.txt .. |codecov| image:: https://codecov.io/gh/PyPSA/atlite/branch/master/graph/badge.svg?token=TEJ16CMIHJ :target: https://codecov.io/gh/PyPSA/atlite .. |ci| image:: https://github.com/PyPSA/atlite/actions/workflows/test.yaml/badge.svg :target: https://github.com/PyPSA/atlite/actions/workflows/test.yaml .. |reuse| image:: https://api.reuse.software/badge/github.com/pypsa/atlite :target: https://api.reuse.software/info/github.com/pypsa/atlite .. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/psf/black :alt: Code style: black .. |pre-commit.ci| image:: https://results.pre-commit.ci/badge/github/PyPSA/atlite/master.svg :target: https://results.pre-commit.ci/latest/github/PyPSA/atlite/master :alt: pre-commit.ci status .. |joss| image:: https://joss.theoj.org/papers/10.21105/joss.03294/status.svg :target: https://doi.org/10.21105/joss.03294 .. |discord| image:: https://img.shields.io/discord/911692131440148490?logo=discord :target: https://discord.gg/AnuJBk23FU .. |stackoverflow| image:: https://img.shields.io/stackexchange/stackoverflow/t/pypsa :target: https://stackoverflow.com/questions/tagged/pypsa :alt: Stackoverflow
FAQs
Library for fetching and converting weather data to power systems data
We found that atlite demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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