Explore projects
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This program will take input parameters and search for GHCN-D stations that match criteria.
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Jared Rennie / GHCNpy
BSD 3-Clause "New" or "Revised" LicensePackage to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset
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A comparison of simulated and observed soil conditions over the 2012 drought
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This project attempts to create a bias profile of common manual GHCN stations bias types: shielding, sensor calibration, station moves, land cover, and time of observation shifts.
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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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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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