[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

[IDD #HVD-148444]: Weather Observation Stream

This archive contains answers to questions sent to Unidata support through mid-2025. Note that the archive is no longer being updated. We provide the archive for reference; many of the answers presented here remain technically correct, even if somewhat outdated. For the most up-to-date information on the use of NSF Unidata software and data services, please consult the Software Documentation first.

  • Subject: [IDD #HVD-148444]: Weather Observation Stream
  • Date: Mon, 01 Jul 2013 13:06:30 -0600
Hi James,

re:
> Great. Thanks Jeff. Thanks for all your help on a Friday afternoon.
> This feed is much more real-time than my previous source. This is a
> great resource.
> My previous experience was using a netCDF product on a 25 minute interval.

:-)

re:
> Do you have any suggestion on programs to convert or parse the text products?
> Or is it just standard to write a unique parser for the data that is required?
> I guess ultimately I am hoping to route the data to a Postgresql database.

None of the software packages we support decode (parse) the data you are
interested in and write it into a Postgres database.  If you are not
locked into this approach, you may be interested in using GEMPAK:

Unidata HomePage
http://www.unidata.ucar.edu

  Software -> GEMPAK
  http://www.unidata.ucar.edu/software/gempak

I think that GEMPAK has a decoder for the data you are interested in,
but I can not guarantee this.

The other thing you could do is join one or more of the topical email
lists that we maintain and post a message on it(them) to see if
anyone in the Unidata community is processing the data you are
interested in in the same way that you want (i.e., Postgres).

You can (un)subscribe to any/all of the email lists that we maintain
online at:

Unidata HomePage
http://www.unidata.ucar.edu

  Support -> Mailing lists
  https://www.unidata.ucar.edu/support/index.html#mailinglists

Click on the Subscribe tab in the last page and select the email
list(s) of interest.  The list that may be your best bet is 'ldm-users'.

Cheers,

Tom
--
****************************************************************************
Unidata User Support                                    UCAR Unidata Program
(303) 497-8642                                                 P.O. Box 3000
address@hidden                                   Boulder, CO 80307
----------------------------------------------------------------------------
Unidata HomePage                       http://www.unidata.ucar.edu
****************************************************************************


Ticket Details
===================
Ticket ID: HVD-148444
Department: Support IDD
Priority: Normal
Status: Closed