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README.rst

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@@ -9,17 +9,14 @@ pySTEPS - Python framework for short-term ensemble prediction systems
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* - docs
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- |docs|
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* - tests
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- |test| |requires| |codecov| |black|
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- |latest| |colab| |gallery|
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* - status
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- |test| |docs| |codecov| |codacy| |black|
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* - package
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- |github| |conda| |pypi|
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* - license
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- |license|
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* - community
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- |slack| |contributors| |downloads|
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* - tutorials
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- |colab| |gallery|
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- |slack| |contributors| |downloads| |license|
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.. |docs| image:: https://readthedocs.org/projects/pysteps/badge/?version=latest
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:alt: Documentation Status
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:alt: Coverage
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:target: https://codecov.io/gh/pySTEPS/pysteps
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.. |requires| image:: https://requires.io/github/pySTEPS/pysteps/requirements.svg?branch=master
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:target: https://requires.io/github/pySTEPS/pysteps/requirements/?branch=master
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:alt: Requirements Status
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.. |github| image:: https://img.shields.io/github/release/pySTEPS/pysteps.svg
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:target: https://github.com/pySTEPS/pysteps/releases/latest
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:alt: Latest github release
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:alt: My first nowcast
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:target: https://colab.research.google.com/github/pySTEPS/pysteps/blob/master/examples/my_first_nowcast.ipynb
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.. |gallery| image:: https://img.shields.io/badge/pysteps-Gallery-blue.svg
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:alt: Pysteps gallery
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.. |gallery| image:: https://img.shields.io/badge/example-gallery-blue.svg
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:alt: pysteps example gallery
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:target: https://pysteps.readthedocs.io/en/latest/auto_examples/index.html
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.. |latest| image:: https://img.shields.io/badge/docs-latest-blue.svg
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:alt: pysteps documentation
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:target: https://pysteps.readthedocs.io/en/latest/
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.. |codacy| image:: https://api.codacy.com/project/badge/Grade/6cff9e046c5341a4afebc0347362f8de
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:alt: Codacy Badge
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:target: https://app.codacy.com/gh/pySTEPS/pysteps?utm_source=github.com&utm_medium=referral&utm_content=pySTEPS/pysteps&utm_campaign=Badge_Grade
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.. end-badges
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@@ -89,8 +90,8 @@ The aim of pysteps is to serve two different needs. The first is to provide a mo
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The pysteps library supports standard input/output file formats and implements several optical flow methods as well as advanced stochastic generators to produce ensemble nowcasts. In addition, it includes tools for visualizing and post-processing the nowcasts and methods for deterministic, probabilistic, and neighbourhood forecast verification.
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Run your first nowcast!
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-----------------------
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Run your first nowcast
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----------------------
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Use pysteps to compute and plot an extrapolation nowcast in Google Colab with `this interactive notebook`__.
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@@ -157,8 +158,3 @@ Pulkkinen, S., D. Nerini, A. Perez Hortal, C. Velasco-Forero, U. Germann, A. See
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L. Foresti, 2019: pysteps - a Community-Driven Open-Source Library for Precipitation Nowcasting. *Poster presented at the 3rd European Nowcasting Conference, Madrid, ES*, doi: 10.13140/RG.2.2.31368.67840. [source__]
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__ https://www.researchgate.net/publication/332781022_pysteps_-_a_Community-Driven_Open-Source_Library_for_Precipitation_Nowcasting
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.. image:: https://api.codacy.com/project/badge/Grade/6cff9e046c5341a4afebc0347362f8de
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:alt: Codacy Badge
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:target: https://app.codacy.com/gh/pySTEPS/pysteps?utm_source=github.com&utm_medium=referral&utm_content=pySTEPS/pysteps&utm_campaign=Badge_Grade

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