Metadata-Version: 2.1
Name: climate_indices
Version: 1.0.3
Summary: Community reference implementations of climate index algorithms in Python. Including Palmers (PDSI, scPDSI,  PHDI, and Z-Index), SPI, SPEI, PET, and PNP.
Home-page: https://github.com/monocongo/climate_indices
Author: James Adams
Author-email: monocongo@gmail.com
License: BSD
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        # Climate Indices in Python
        
        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.
        
        The following indices are provided:
        
        - [SPI](https://climatedataguide.ucar.edu/climate-data/standardized-precipitation-index-spi),
          Standardized Precipitation Index, utilizing both gamma and Pearson Type III distributions
        - [SPEI](https://www.researchgate.net/publication/252361460_The_Standardized_Precipitation-Evapotranspiration_Index_SPEI_a_multiscalar_drought_index),
          Standardized Precipitation Evapotranspiration Index, utilizing both gamma and Pearson Type III distributions
        - [PET](https://www.ncdc.noaa.gov/monitoring-references/dyk/potential-evapotranspiration), Potential Evapotranspiration, utilizing either [Thornthwaite](http://dx.doi.org/10.2307/21073)
          or [Hargreaves](http://dx.doi.org/10.13031/2013.26773) equations
        - [PDSI](http://www.droughtmanagement.info/palmer-drought-severity-index-pdsi/),
          Palmer Drought Severity Index
        - [scPDSI](http://www.droughtmanagement.info/self-calibrated-palmer-drought-severity-index-sc-pdsi/),
          Self-calibrated Palmer Drought Severity Index
        - [PHDI](http://www.droughtmanagement.info/palmer-hydrological-drought-index-phdi/),
          Palmer Hydrological Drought Index
        - [Z-Index](http://www.droughtmanagement.info/palmer-z-index/),
          Palmer moisture anomaly index (Z-index)
        - [PMDI](https://climate.ncsu.edu/climate/climdiv), Palmer Modified
          Drought Index
        - [PNP](http://www.droughtmanagement.info/percent-of-normal-precipitation/),
          Percentage of Normal Precipitation
        
        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 programming
          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).
        
        - [__Documentation__](https://climate-indices.readthedocs.io/en/latest/)
        - [__License__](LICENSE)
        - [__Disclaimer__](DISCLAIMER)
        
Keywords: indices climate climate_indices drought drought_indices pdsi spi spei evapotranspiration
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
