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.
This project uses GHCND to plot its data. Depending on the piece of code, it either plots a time series for a single station, or spatial data from multiple stations.
Python common modules
Package to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset
A command-line utility that reads in a CF NetCDF and a generic XML file that returns a transformed XML file that conforms to the standard defined in the given XSL.
This program will take input parameters and search for GHCN-D stations that match criteria.
Plays with ibtracs data from NCEI
Using USCRN and ERA5 data, generate 3 heat exposure products: NWS Heat Index, Apparent Temperature (Shade), and Wet Bulb Globe Temperature.
Python3 code that reads in MRMS data, then plots for CONUS, as well as Asheville, NC
Code to take drought indicators and create county averages, and plot