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monocongo committed Aug 9, 2024
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![Banner Image](assets/Global_Monthly_SPI.jpg)

# climate_indices

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# Climate Indices in Python
#### Python library of indices useful for climate monitoring

This project contains Python implementations of various climate index algorithms which provide
a geographical and temporal picture of the severity of precipitation and temperature anomalies
useful for climate monitoring and research.
a geographical and temporal picture of the severity and duration of precipitation and temperature
anomalies useful for climate monitoring and research.

The following indices are provided:

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best practices


This is a developmental/forked version of code that is originally developed and
maintained by NIDIS/NCEI/NOAA. The official release version is available at
[drought.gov](https://www.drought.gov/drought/python-climate-indices).
This is a developmental/forked version of code that was originally developed by NIDIS/NCEI/NOAA.
See [drought.gov](https://www.drought.gov/drought/python-climate-indices).

- [__Documentation__](https://climate-indices.readthedocs.io/en/latest/)
- [__License__](LICENSE)
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