Please share the URL(s) and python code you are using to process this
hycom data, as it was not provided in your post.
You can always use the "unaggregated" data view with is less
susceptible to the aggregated dataset updates. See
"* Unaggregated *
"All Data"
at *the top* of the THREDDS catalog root.
https://tds.hycom.org/thredds/catalog.html
You will need to parse the XML listing of the unaggregated files and
use this in your code loop, but it is not much different than
iterating over a range of dates.
>
> I have been using a Python script that downloads Hycom files for each time step, runs through a loop of one year (2020/1 to 2020/12), and individually adds it to an output file. When I was using past datasets I had no issues, but now I cannot even finish downloading one month of GLBy0.08 data without getting a DAP failure error message. I need the hindcast data for 2020 but it seems to be embedded in the active aggregated file, so I assume that when real time data gets added I have DAP connection issues. Is there any way the 2020 data can be moved to an inactive dataset such as GLBv0.08? Any recommendations are welcome, I am just really struggling to extract this data so far.