Reference implementations of various climate indices typically used for drought monitoring
Project description
climate_indices
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 and duration of precipitation and temperature anomalies useful for climate monitoring and research.
The following indices are provided:
- SPI, Standardized Precipitation Index, utilizing both gamma and Pearson Type III distributions
- SPEI, Standardized Precipitation Evapotranspiration Index, utilizing both gamma and Pearson Type III distributions
- PET, Potential Evapotranspiration, utilizing either Thornthwaite or Hargreaves equations
- PNP, Percentage of Normal Precipitation
- PCI, Precipitation Concentration Index
This Python implementation of the above climate index algorithms is being developed with the following goals in mind:
- to provide an open source software package to compute a suite of climate indices commonly used for climate monitoring, with well documented code that is faithful to the relevant literature and which produces scientifically verifiable results
- to provide a central, open location for participation and collaboration for researchers, developers, and users of climate indices
- to facilitate standardization and consensus on best-of-breed climate index algorithms and corresponding compliant implementations in Python
- to provide transparency into the operational code used for climate monitoring activities at NCEI/NOAA, and consequent reproducibility of published datasets computed from this package
- to incorporate modern software engineering principles and scientific programming best practices
This is a developmental/forked version of code that was originally developed by NIDIS/NCEI/NOAA. See drought.gov.
Citation
You can cite climate_indices
in your projects and research papers via the BibTeX
entry below.
@misc {climate_indices,
author = "James Adams",
title = "climate_indices, an open source Python library providing reference implementations of commonly used climate indices",
url = "https://github.com/monocongo/climate_indices",
month = "may",
year = "2017--"
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for climate_indices-2.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a2d78967bdfc86872b62f1dce1cb99d199504bb8743e9bf6f61f07cc9b88277d |
|
MD5 | 9630510f368dbd27ef07e354450d7ff7 |
|
BLAKE2b-256 | 97ffc19353b05bd6d4b75bf9ea5f53f736d0d9d9b53076b982c03f2807e4f054 |