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An R workspace with functions comprising a non-linear baseflow separation model, and a complete set of files to run the model in a compressed file including a script that will demonstrate how to run the model.

This is a developmental/forked version of code that was originally developed by NIDIS/NCEI. 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 most updated version is currently being maintained and developed by independent scientific programmer James Adams on his Github account, which includes feedback and contributions from active users worldwide.

NOAA's National Centers for Environmental Information (NCEI) developed Fortran code to calculate Standardized Precipitation Index (SPI) and the Palmer Drought Severity Index (PDSI).  This code is not an exact copy of what is run on NCEI's internal servers, but represents general use version approved for public release. 

A one-stop shop tool that places recent temperature and precipitation conditions in both a historical and geographical perspective across the Southeast.