Explore projects
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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.
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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.
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Package to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset
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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.
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This program will take input parameters and search for GHCN-D stations that match criteria.
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Using USCRN and ERA5 data, generate 3 heat exposure products: NWS Heat Index, Apparent Temperature (Shade), and Wet Bulb Globe Temperature.
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Python3 code that reads in MRMS data, then plots for CONUS, as well as Asheville, NC
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Code to take drought indicators and create county averages, and plot
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