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RE: (#MQD-9803417) question regarding "Combined Plotting" example...



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Dear Max Bleiweiss,

Your ticket has been marked as resolved by a member of our staff. If you do not believe that this issue has been adequately resolved, you may still reply to this ticket and an operator will respond shortly. You can review the ticket by going to:
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Ryan May
Staff - Tuesday 3rd September 2024 2:50 PM

Greetings!

 

The challenge here is that NARR, or North American Regional Reanalysis, is generally composed of fields of things like temperature and humidity on a regular grid. I'm guessing the products you linked to are some kind of automatically generated frontal locations on the basis of these gridded fields. Either way, the frontal locations as encoded in the netCDF file seems like something that a lot of software isn't necessarily geared to handle, so it's going to require some manual effort on your end to get these to work--I've never worked with these.

 

Cheers,

 

Ryan

 


Max Bleiweiss
User - Saturday 31st August 2024 1:47 PM

Greetings,

I did try stackoverflow and found it very confusing and difficult to invoke -- perhaps, it is just my old age...so, thank you for being there...

Anyway, the sample netcdf file provided for use in subject sample program in not readable by either Panoply or QGIS -- I was trying those tools so that I could learn more about how to use a "real" NARR file -- could you please recommend a real NARR file that might work in that example?

Regards,

Max

Max P. Bleiweiss, M.S., F.R.A.S.
Agricultural Research Scientist (ret.)
New Mexico State University           mobile: +1 575.640.2275
Department of Entomology,             e-mail:  address@hidden
  Plant Pathology and Weed Science e-mail:  address@hidden

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Ticket Details

Ticket #: MQD-9803417
Subject: question regarding "Combined Plotting" example...
Department: MetPy, Siphon (Python)
Status: Closed
Priority: Normal

You can review the ticket by going to:
https://support.unidata.ucar.edu/tickets/view/MQD-9803417?token=de3826e208cd74887492a4b1bca1d9c456a5506e

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