Matt, That's strange about the blog comment. It just worked fine for me; have you tried a different browser? Regardless, this is probably a better forum for this discussion anyway. Another appropriate venue would be the python-users list: http://www.unidata.ucar.edu/support/index.html#mailinglists Accessing the S3 archive of GOES-16 data is a little involved, due to the need to assemble parts of names, so I've attached a notebook with some code I've used to do so. It also shows using a different colormap from matplotlib for grayscale imagery. It's important to note that only the last ~30 days are available directly accessible from S3. Older files are migrated to Amazon's Glacier storage; what this means is that while they show up in the bucket, you need to use a different mechanism to request the data. I've not yet figured out how to access data in Glacier from Python. Ryan > I have a few comments/questions about this. First, I have been trying and > trying to make an online comment directly here: > > http://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-9-plotting-goes > > but it always tells me that my answer to the simply math question is wrong > (and I know that I haven't gotten it wrong seven times in a row). > > Second, here is what I was trying to ask. (1) Is there a way to view > archived GOES-16 data by modifying the code you have given? (2) Are > different color enhancement curves available (e.g., a grayscale for the > VIS), rather than what is given? Ticket Details =================== Ticket ID: ZYD-459970 Department: Support Python Priority: Low Status: Closed =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.
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