Download Data from CLASS

1.) Download GOES visible satellite data (link: https://www.avl.class.noaa.gov/saa/products/search?datatype_family=GRABIPRD)

2.) Must create an account! Use school email address.

3.) Data selection

• Select Lat/Lon bounds
• Enter start/end date/time
• Datatype: L1b Radiances Data
• For highest resolution data select channel 2 (C02) - Red channel (500m resolution)
• Product Type: Radiances
• ABI scan sector: CONUS (If no lat/long bounds defined)
• Search for data
• Add data to shopping cart

4.) The data will then be processed and an email will be sent to you shortly with FTP instructions to download the data from their server.

• Once data is downloaded. Place all data into a directory
• Since the python code (GOESlib_20220425.py) cannot handle more than one satellite file when processing we must create another empty directory for which we will place each GOES file (one by one) for the script to read from (e.g. test).

Code

• Download GOESlib_20220425.py & runsatscript-Alex.py script from: https://sourceforge.net/projects/nairy-grad-thesis/files/

5.) Open both the GOESlib_20220425.py & runsatscript-Alex.py in vim or any other coding interface of your liking.

6.) In the GOESlib_20220425.py script you first must adjust the data directory path to where your test directory is located.

7.) Next, scroll down in the code (line 226-227) and adjust the lat/lon bounds of the data (IF you downloaded the full disk or CONUS scan sector).

8.) Insert one GOES file into the test directory (Note the start time of the GOES file)

9.) In the runsatscript-Alex.py, adjust the date string to match the GOES file you're attempting to process.

10.) Run runsatscript-Alex.py in terminal (python runsatscript-Alex.py)

11.) If it worked, you should see a figure saved in the directory where you ran the code from.