Processed BCO data for Vial et al. 2023

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Dataset information

Catalog

Zenodo catalog

Country of origin

EU institutions

Updated

2023.02.02 00:00

Created

2023.01.31

Available languages

English

Keywords

Datasource

Official portal for European data link

Quality scoring

Dataset description

The folder contains yearly netCDF files with the hourly-averaged cloud radar data from the Barbados Cloud Observatory (BCO) used in Vial, Albright, Vogel, Musat, Bony (2023), Cloud transition across the daily cycle illuminates model responses of trade cumuli to warming, PNAS. 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 cat = open_catalog("https://bco.pages.gwdg.de/intake/catalog.yaml") ds = cat.Level_1.Backscatter_MBR2.to_dask() ds.SNR.sel(time="2022-08-01", range=slice(0, 5000)).T.plot(robust=True)

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