Processed BCO data for Vial et al. 2023

The folder contains yearly netCDF files with the hourly-averaged cloud radar data from the Barbados Cloud Observatory (BCO) used in <em>Vial,</em> <em>Albright, Vogel, Musat, Bony (2023), Cloud transition across the daily cycle illuminates model responses of trade cumuli to warming, PNAS</em>. Also provided is the file ‘radar_diurnalCMIP_files_version.txt’, which contains information about the version of the raw data used to create the processed files. The raw data can be accessed through the BCO intake catalog, which can be accesses using Python and intake e.g. as follows: from intake import open_catalog<br> cat = open_catalog("https://bco.pages.gwdg.de/intake/catalog.yaml")<br> ds = cat.Level_1.Backscatter_MBR2.to_dask()<br> ds.SNR.sel(time="2022-08-01", range=slice(0, 5000)).T.plot(robust=True)