Adding GOES-16 data to ADAGUC

ADAGUC can also handle GOES-16 NetCDF data.
GOES-16 NetCDF data is distributed by NOAA through an public dataset on Amazon S3. See for more information on the public datasets available there.

The data is stored in a S3 bucket named noaa-goes16. The AWS S3 bucket can be accessed through the AWS command-line client, which you invoke with the command aws. This command is available on the ADAGUC workshop VM and can usually be installed with pip:

pip install awscli

The AWS client by default wants to use AWS credentials; these can be entered by running aws config. Open datasets can usually be accessed by anonymous users, by adding the --no-sign-request switch to the command.

Listing the primary folders in the noaa-goes16 bucket:

aws s3 ls noaa-goes16/

This generates a list of GOES-16 products (the PRE string indicates a S# bucket (pseudo)folder name):

                           PRE ABI-L1b-RadC/
                           PRE ABI-L1b-RadF/
                           PRE ABI-L1b-RadM/
                           PRE ABI-L2-CMIPC/
                           PRE ABI-L2-CMIPF/
                           PRE ABI-L2-CMIPM/
                           PRE ABI-L2-MCMIPC/
                           PRE ABI-L2-MCMIPF/
                           PRE ABI-L2-MCMIPM/
                           PRE GLM-L2-LCFA/

The folders with names ending in F contain the full-disc data.
For example the ABI-L2-MCMIPF/ folder contains multi-channel (16 channels) data for the full earth disc. In these folders, files are stored in folders per year and per day of the year. For
example a file could be stored in the folder noaa-goes16/ABI-L2-MCMIPF/2018/324.
The contents of such a directory can be listed by the command:
aws s3 ls noaa-goes16/ABI-L2-MCMIPF/2018/324/12/

This command yields a list of filenames, which are rather difficult, so you might want to copy/paste them:
2018-11-20 12:12:59  360805563
2018-11-20 12:28:56  365359389
2018-11-20 12:42:59  370656716
2018-11-20 12:58:01  375511280

As an example let's look at one of these files in the ADAGUC AutoWMS:
Copy the required file from the S3 bucket with a command like:

aws s3 cp s3://noaa-goes16/ABI-L2-MCMIPF/2018/324/12/  $HOME/data/adaguc-autowms

(Don't forget to add s3:// before the filename!)

Refreshing the autowms list should show the copied file in the directory listing of the AutoWMS panel. The file can then be selected and viewed in Adaguc.

The selected variable from satellite file will now be shown with a default color table. Better suited colr tables could be configured manually.

There are also some quality indicator parameters in the files; these are usually not very nice to visualize.