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FOLKS Feb 19-20 Debacle


ravensrule
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For the others in the same snow hole as me... keep that in mind.  Think about 2010 when every single storm jacked us...think about 2011 when we got jacked by the January storm and also had a nice Feb storm that VA and DC missed out on.  Think about all those waves in 2014 and 2015 that jacked our area!  The 2016 HECS!  We had a run!  Even going back before that northeast MD did a lot better in the Feb 2006 storm and a couple of the 2005 storms!  We were in a positive snow anomaly for a long time.  We are paying the devil his due now.  It will flip back again.  Hopefully sooner rather then later.  

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1 minute ago, psuhoffman said:

For the others in the same snow hole as me... keep that in mind.  Think about 2010 when every single storm jacked us...think about 2011 when we got jacked by the January storm and also had a nice Feb storm that VA and DC missed out on.  Think about all those waves in 2014 and 2015 that jacked our area!  The 2016 HECS!  We had a run!  Even going back before that northeast MD did a lot better in the Feb 2006 storm and a couple of the 2005 storms!  We were in a positive snow anomaly for a long time.  We are paying the devil his due now.  It will flip back again.  Hopefully sooner rather then later.  

But last year and this year the long range ensembles modeled monster snowfall. This season already overachieved in my book but this was supposed to be an awesome pattern.

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2 minutes ago, psuhoffman said:

For the others in the same snow hole as me... keep that in mind.  Think about 2010 when every single storm jacked us...think about 2011 when we got jacked by the January storm and also had a nice Feb storm that VA and DC missed out on.  Think about all those waves in 2014 and 2015 that jacked our area!  The 2016 HECS!  We had a run!  Even going back before that northeast MD did a lot better in the Feb 2006 storm and a couple of the 2005 storms!  We were in a positive snow anomaly for a long time.  We are paying the devil his due now.  It will flip back again.  Hopefully sooner rather then later.  

I think about how incredibly some of those years were all the time and that's why it's easy to accept the recent drought. Don't forget we somehow managed to get close to average in 2017/18 and 2018/19. Also look how lucky we got in 2020/21.

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Just now, Jersey Andrew said:

But last year and this year the long range ensembles modeled monster snowfall. This season already overachieved in my book but this was supposed to be an awesome pattern.

we under achieved.  It happens.... I've posted seasonal anomalies before to years that looked amazing but ended up below avg snowfall...and there are some like 2000 where the pattern looks god awful and somehow we got above normal snow.  There is a lot of luck and fluke to snowfall because there are so many variables.  Sometimes a great pattern can fail to produce because one or two things don't come together...and other times an only OK pattern can luck its way into hitting a MECS.  It's kinda like poker...having 3 aces makes your odds of winning the hand a LOT better...but someone else might have a full house!  

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Just now, HighStakes said:

I think about how incredibly some of those years were all the time and that's why it's easy to accept the recent drought. Don't forget we somehow managed to get close to average in 2017/18 and 2018/19. Also look how lucky we got in 2020/21.

yea...and those down in VA will have to remember this also when there is a year like 2014 when they "only" get 25" and northern MD gets 60+.  It goes in cycles.  its pretty random.  The only non random part to this is we have been in a long term nina ish pattern and that is not good for us.  But that will flip when the PDO does.  

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4 minutes ago, ers-wxman1 said:

You guys are beating a dead horse. This is great for trying to keep a business alive, not for snow. Even if the NAM throws a snow swath over us it’s never going to reach the ground! It’s bone dry. Would take half the day to moisten the column let alone fringe bands. It’s a dead deal!

Thanks for letting us know this.  We would have never known otherwise.  

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39 minutes ago, ers-wxman1 said:

You guys are beating a dead horse. This is great for trying to keep a business alive, not for snow. Even if the NAM throws a snow swath over us it’s never going to reach the ground! It’s bone dry. Would take half the day to moisten the column let alone fringe bands. It’s a dead deal!

Sooooo….what are you trying to say? :lol:

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8 minutes ago, ers-wxman1 said:

You guys are beating a dead horse. This is great for trying to keep a business alive, not for snow. Even if the NAM throws a snow swath over us it’s never going to reach the ground! It’s bone dry. Would take half the day to moisten the column let alone fringe bands. It’s a dead deal!

We're in the punchy, loopy, sarcastic, just having fun with it best we can phase

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11 minutes ago, ers-wxman1 said:

You guys are beating a dead horse. This is great for trying to keep a business alive, not for snow. Even if the NAM throws a snow swath over us it’s never going to reach the ground! It’s bone dry. Would take half the day to moisten the column let alone fringe bands. It’s a dead deal!

we know, we're just shooting the shit really with the model runs as an excuse 

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42 minutes ago, psuhoffman said:

Actually come to think of it...I can think of a ton of examples for almost every model where it was all by itself in showing no snow for us...and ended up right but almost no examples the other way around.  For whatever reason the models seem to have a much higher verification score when they are all by themselves showing no snow, than when they are on their own showing snow.  

probably because - if you assume that the probabilities of all the discrete events of a storm outcome that could occur are approximately uniformly distributed (I get that is probably a stretch), and that there are more discrete events that favor a non-snow outcome vs a snow outcome for us, then the sample space of all possible outcomes are more heavily dominated by non-snow ones.  Thus the probability of selecting a non-snow outcome is higher, so if a model is all by itself in predicting one, it's more likely to be correct than a model all by itself predicting a snow-outcome.  I realize that there are a ton of assumptions here that are probably not empirically grounded (independent events, etc), but it seems that might be the general logic.

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