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SPDX-FileCopyrightText: Contributors to atlite \u003chttps://github.com/pypsa/atlite\u003e\n\n  .. SPDX-License-Identifier: CC-BY-4.0\n\n======\natlite\n======\n\n|PyPI version| |Conda version| |Documentation Status| |ci| |codecov| |standard-readme compliant| |MIT-image| |reuse| |black| |pre-commit.ci| |joss| |discord| |stackoverflow|\n\natlite is a `free software`_, `xarray`_-based Python library for\nconverting weather data (like wind speeds, solar influx) into energy systems data.\nIt is designed to be lightweight, keeping computing resource requirements (CPU, RAM) usage low.\nIt is therefore well suited to be used with big weather datasets.\n\natlite 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.\n\n.. image:: doc/workflow_chart.png\n\natlite was initially developed by the `Renewable Energy Group\n\u003chttps://fias.uni-frankfurt.de/physics/schramm/renewable-energy-system-and-network-analysis/\u003e`_\nat `FIAS \u003chttps://fias.uni-frankfurt.de/\u003e`_ to carry out simulations\nfor the `CoNDyNet project \u003chttp://condynet.de/\u003e`_, financed by the\n`German Federal Ministry for Education and Research (BMBF)\n\u003chttps://www.bmbf.de/en/index.html\u003e`_ as part of the `Stromnetze\nResearch Initiative\n\u003chttp://forschung-stromnetze.info/projekte/grundlagen-und-konzepte-fuer-effiziente-dezentrale-stromnetze/\u003e`_.\n\n\nWith `atlite` we want to provide an interface between the meteorological and energy systems modelling communities.\n\nTraditionally the MET and ESM communities have not been interacting much.\nThe outputs and learning of one community were only slowly adapted into the other community.\n\nWith `atlite` we want bridge between the communities:\nWe want to make it easy to use and integrate outputs of the MET communities into energy system models, by offering standardized ways of accessing weather/climate datasets and converting them to weather-dependent inputs for ESMs.\n\nFor major next development goals, consult our `vision and roadmap project \u003chttps://github.com/orgs/PyPSA/projects/12/views/1\u003e`_ or check our list of possible `enhancements \u003chttps://github.com/PyPSA/atlite/issues/?q=is%3Aissue%20state%3Aopen%20label%3A%22type%3A%20enhancement%22\u003e`_.\n\nInstallation\n============\n\nTo install you need a working installation running Python 3.6 or above\nand we strongly recommend using either miniconda or anaconda for package\nmanagement.\n\nTo install the current stable version:\n\nwith ``conda`` from `conda-forge`_\n\n.. code:: shell\n\n       conda install -c conda-forge atlite\n\nwith ``pip`` from `pypi`_\n\n.. code:: shell\n\n       pip install atlite\n\nto install the most recent upstream version from GitHub\n\n.. code:: shell\n\n       pip install git+https://github.com/pypsa/atlite.git\n\n\nDocumentation\n===============\n\nPlease check the `documentation \u003chttps://atlite.readthedocs.io/en/latest\u003e`_.\n\n\nSupport \u0026 Contributing\n======================\n* In case of code-related **questions**, please post on `stack overflow \u003chttps://stackoverflow.com/questions/tagged/pypsa\u003e`_.\n* For non-programming related and more general questions please refer to the `pypsa mailing list \u003chttps://groups.google.com/group/pypsa\u003e`_.\n* To **discuss** with other PyPSA and atlite users, organise projects, share news, and get in touch with the community you can use the `discord server \u003chttps://discord.gg/JTdvaEBb\u003e`_.\n* For **bugs and feature requests**, please use the `issue tracker \u003chttps://github.com/PyPSA/atlite/issues\u003e`_.\n* We strongly welcome anyone interested in providing **contributions** to this project. 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