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This program will take input parameters and search for GHCN-D stations that match criteria.

Package to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset

TaskAPI Base package

MessageAPI transport layer official repository

Using USCRN and ERA5 data, generate 3 heat exposure products: NWS Heat Index, Apparent Temperature (Shade), and Wet Bulb Globe Temperature.

Carl's Python Library

Python3 code that reads in MRMS data, then plots for CONUS, as well as Asheville, NC

Takes nClimGrid Daily data and creates daily plots of CONUS, as well as a clipped version for the Carolinas (NC/SC)