Processed BCO data for Vial et al. 2023

<p>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 &lsquo;radar_diurnalCMIP_files_version.txt&rsquo;, which contains information about the version of the raw data used to create the processed files.</p> <p>The raw data can be accessed through the BCO intake catalog, which can be accesses using <a href="https://www.python.org/">Python</a> and <a href="https://intake.readthedocs.io/">intake</a> e.g. as follows:</p> <p>from intake import open_catalog<br> cat = open_catalog(&quot;https://bco.pages.gwdg.de/intake/catalog.yaml&quot;)<br> ds = cat.Level_1.Backscatter_MBR2.to_dask()<br> ds.SNR.sel(time=&quot;2022-08-01&quot;, range=slice(0, 5000)).T.plot(robust=True)</p>