Brian Blaylock created an excellent interface to download the multitude of available products from these satellites.
DOWNLOAD GOES DATA
Start by going to the link here:
From the Domain drop-down menu select Full Disk.
From the Product menu select ABI L2 Cloud and Moisture Imagery (Multi-Band Format).
From the Date menu select 04/15/2020.
From the Hour (UTC) menu select 14 and click the Submit button.
You will next be presented with option to choose the starting minute of the scan.
Click the 30 button for 14:30 UTC and submit again to download the file.
I urge you to save the file to a folder with this directory structure:
PREVIEW
Here is what we will be able to achieve with this particular data using my Python script and without any retouching:
All visible and near infrared bands have a resolution of at least 1000 meters per pixel (10848 x 10848 pixels). The red band has a resolution up to 500 meters per pixel (21696 x 21696 pixels).
All products have an oblate spheroid mask applied. This removes the atmosphere around the limb, unfortunately.
ADDITIONAL TOOLS
EOSDIS Worldview is a useful tool to view the approximate midday conditions for a date of interest using other satellite sources.
CREDIT
NASA
NOAA
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Data from GOES-16 and GOES-17 is free and easy to obtain, especially since DOWNLOAD GOES DATA
Start by going to the link here:
http://home.chpc.utah.edu/~u0553130/Brian_Blaylock/cgi-bin/goes16_download.cgi
For this tutorial we are primarily interested in full disk GOES-16 data. We will be using imagery from the same day as in the Himawari 8-tutorial but this time at 14:30 UTC. As with Himawari-8, we will download 2000-meter resolution data. The difference is all 16 available bands are contained in a single file rather than four individual files.From the Domain drop-down menu select Full Disk.
From the Product menu select ABI L2 Cloud and Moisture Imagery (Multi-Band Format).
From the Date menu select 04/15/2020.
From the Hour (UTC) menu select 14 and click the Submit button.
You will next be presented with option to choose the starting minute of the scan.
Click the 30 button for 14:30 UTC and submit again to download the file.
I urge you to save the file to a folder with this directory structure:
[Your drive]:/[Your download folder path]/YYYY/MMDD/hhmm/
e.g.E:/goes-16-data/full-disk/multi-band/2020/0415/1430/
This will make editing and running the Python script I will provide in a future post much more simple; essentially "plug-and-play" with minimal user input.PREVIEW
Here is what we will be able to achieve with this particular data using my Python script and without any retouching:
GOES-16 satellite view of Earth using a Python script to generate the missing green band. |
All visible and near infrared bands have a resolution of at least 1000 meters per pixel (10848 x 10848 pixels). The red band has a resolution up to 500 meters per pixel (21696 x 21696 pixels).
All products have an oblate spheroid mask applied. This removes the atmosphere around the limb, unfortunately.
ADDITIONAL TOOLS
EOSDIS Worldview is a useful tool to view the approximate midday conditions for a date of interest using other satellite sources.
CREDIT
NASA
NOAA
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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