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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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Run your first nowcast
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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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