Takes nClimGrid Daily data and creates daily plots of CONUS, as well as a clipped version for the Carolinas (NC/SC)
Code to take drought indicators and create county averages, and plot
Python3 code that reads in MRMS data, then plots for CONUS, as well as Asheville, NC
Using USCRN and ERA5 data, generate 3 heat exposure products: NWS Heat Index, Apparent Temperature (Shade), and Wet Bulb Globe Temperature.
Plays with ibtracs data from NCEI
Code to 1) pull down 2m monthly averaged data from CDS, and 2) Build two 30 year climos (1981-2010, 1991-2020) and plot the difference between them.
Carl's Python Library
This program will take input parameters and search for GHCN-D stations that match criteria.
Carl's code for the NASA PMM YMC grant