Storm Team Blogs

Are we close to record January warmth? (1-25-12)

(NewsChannel 9 WSYR)
(NewsChannel 9 WSYR)
Reported by: Jim Teske
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Updated: 1/25 5:50 pm
With our mild January continuing we started thinking here in the weather office that we had to be close to a record for the month.  A search of the records over the last 100 plus years for Syracuse found we are not even close. If the month were to end today we wouldn’t be in the top 5 or even top 10 warmest Januaries on record.

Year

Temperature

1932

37.2 F

1933

36.0 F

1913

33.8 F

2006

33.4 F

1950

33.2 F

1990

33.2 F

2002

32.9 F

1906

31.6 F

1916

31.1 F

1967

30.6 F

1995

30.5 F

2012*

29.8 F



* Through January 24th

This January is only the 12th warmest January on record.  For as warm as it has been this month we are still almost seven and a half degrees below the the record which was set back in January 1932. This January is probably only going to end up as the warmest January in 6 years.

One last thing to discuss about this evening and it has to do with Saturday's weather. Remember this graphic I showed in yesterday’s blog:



This chart was from Tuesday’s run of the GFS ensembles and four of the runs actually showed a storm close to the East Coast with a moderate snowfall possible for us here in central New York.  At the time, I mentioned that solution probably only had a low chance of happening since there was no support from the other computer models we look at.

Low and behold, today’s GFS ensembles came in and they pretty much squashed the idea of something lurking along the coast.  I put arrows next to the individual ensemble members that jumped on the East Coast storm only yesterday. Notice how they are all are much weaker and farther east with any storm system on Saturday.



On top of not showing the coastal storm, the ensembles today actually show more agreement than what we saw yesterday so that gives us greater confidence in our forecast for lighter showers (rain or snow) on Saturday. Those two charts show you how model solutions can change from day to day and when you interpret the data you need to take it with a grain of salt.   

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