Tools for working with s2s forecast data

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License: BSD-3-Clause

Author: Jonas Spaeth

Tags atmosphere, weather, climate

Requires: Python >=3.8

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Project description

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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 forecastsinto 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).

Project details

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License: BSD-3-Clause

Author: Jonas Spaeth

Tags atmosphere, weather, climate

Requires: Python >=3.8

Classifiers

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0.4.0

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