[python-users] Reliable Siphon Source for Metar Data and Graceful Failure for NCSS empty queries

• To: "python-users@xxxxxxxxxxxxxxxx" <python-users@xxxxxxxxxxxxxxxx>
• Subject: [python-users] Reliable Siphon Source for Metar Data and Graceful Failure for NCSS empty queries
• From: "Capehart, William J" <William.Capehart@xxxxxxxxx>
• Date: Sun, 26 Sep 2021 18:19:35 +0000
• Arc-authentication-results: i=1; mx.microsoft.com 1; spf=pass smtp.mailfrom=sdsmt.edu; dmarc=pass action=none header.from=sdsmt.edu; dkim=pass header.d=sdsmt.edu; arc=none
• Arc-message-signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=microsoft.com; s=arcselector9901; h=From:Date:Subject:Message-ID:Content-Type:MIME-Version; bh=e19SwPSbjtiT6nmqxNimNfpGcm8x2ACYvXtm2ciaSQk=; b=QZH8h0jnepQz90uVqe5md6izO3q0uu5AfZI34r3roEmVwaQYWNCUiXrPZwtxbRnhS3PZjD4X0a/7wRssZQHCZoCBqxtHFcoIYR2U9J7ukYzO5CrIfZJxUcQksBe/a8WX8vmRlaEiOs++gKhF3QlMu+ayOmJWvgcpYM45gz4NL68WCVHq2aEyO1hFmRFVCKMmDrJeYGmzLB2t/XF5b9tAUI6FmOiKewQLQ0tchH8YyWCyYBx/UShcuwtk2im3jrEtnvYMgtPAb+derC8Aw6WWgKmOB+Y/J3yufue3IqTqMNBrnbXNyI2gop3eZNvvWS1hyMRM14F0E9U38Cte4VSPnw==
• Arc-seal: i=1; a=rsa-sha256; s=arcselector9901; d=microsoft.com; cv=none; b=Tr7OC+0VfYMjwkEMqlI2RMPyBnVy4hslajK2QfXSKsYWi/uYyorRpui+FetjwNN0KJ0IN1mKu9lXrFWiZzD6lY4MeKmeJvQfTMt4VeuyG2NJ6s5CHtu7D2w/3fXh3+YaIQ/9GC24h3WOCx559zvEqkMbVg3Cew8lhT9A51yYYd2MsvdltKf7qKb317bYyXXCaxDqEotgsQnquTtUVQQZtnhrKAr2bFXtgUFbbRf8K00Au04LX1oHFdm6tj+ed9iYi0RFyJk1W0dzwrXUkcDrKhFj88XD/L2EbGQJb4q8ex0VaPdbOcZaMp/qUkaWfgR63nwU39bpQ4+kmDnibSMqCQ==
• Authentication-results: unidata.ucar.edu; dkim=none (message not signed) header.d=none; unidata.ucar.edu; dmarc=none action=none header.from=sdsmt.edu;

Hi All.

I’m adopting siphon and climbing its learning curve as a substitute for some of 
our LDM functionality and we’re running into a problem with finding a reliable 
source for a metars in real time.  My querries into unidata’s ncss via thredds 
is not always getting a steady stream.

Also along these lines, I’m also having some problems in getting siphon 
returning something other than a 404 crash on a ncss.get_data(query) when the 
search turns up no results for a time/location so I can jump to the next step 
in some of my automated scripting.

Is there an option here I’m missing on both issues (steady metars and a 
workable test on how many results my query will deliver)?

Cheers and Thanks
Bill
–––––––––––––––––––––––––––––––––––––––––––
Dr. Bill Capehart, Director, Atmospheric and Environmental Sciences
Civil & Environmental Engineering
South Dakota Mines
501 E. Saint Joseph St., Rapid City, SD 57701
605.484.5692 (Cell) | 
William.Capehart@xxxxxxxxx<mailto:William.Capehart@xxxxxxxxx>
[South Dakota Mines]<https://www.sdsmt.edu/>
[South Dakota Mines on 
Facebook]<https://www.facebook.com/SouthDakotaMines/>[South Dakota Mines on 
Instagram]<https://www.instagram.com/southdakotamines/>[South Dakota Mines on 
Twitter]<https://twitter.com/sdsmt>[South Dakota Mines on 
Snapchat]<https://www.snapchat.com/add/sdsmt>

• Follow-Ups:
  • Re: [python-users] Reliable Siphon Source for Metar Data and Graceful Failure for NCSS empty queries
    • From: Ryan May