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Wintry April Fools? (1-2) Surprise Storm

I think the best thing to do is to assume your area will get nothing like most models show for most areas (and this is with a cold bias that prevails on most models) and then just hope for a surprise as the thread title says. There's no excuse for whining if this doesn't pan out, especially since it is early April. Keep expectations low or else.
My personal expectation as of now is that there will likely be some areas of the Carolinas and N GA that see big wet flakes falling, but that most of these areas would have little or no accumulations although a small portion could see more than a dusting and up to as much as a few inches similar to what happened with the early March storm. So, for example, maybe only the area around Charlotte gets more than a dusting. Or perhaps only around GSP or maybe even both. But be prepared for no accumulations anywhere.
 
12Z EPS ? for your viewing pleasure: Charlotte is in sweet spot with mean of 1”, but keep in mind EPS cold bias meaning take this with a grain:
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Not sure there's really a "cold bias" here given that we're well inside the medium range now and other models like the ICON that are actually biased warm in the BL are showing virtually the same solution.
 
Here's a close-up of the 0z EPS on NC, SC, and NE GA.

As noted earlier, Charlotte is in the "sweet" spot w/ 1" mean although on one hand this assumes 10:1 SLRs (biases accums too high) but there's also a lot of internal and member-to-member variability (which biases the mean too low because the spread is still fairly large).

I'll take whatever I can get.

download - 2019-03-31T160734.202.png
 
Not sure there's really a "cold bias" here given that we're well inside the medium range now and other models like the ICON that are actually biased warm in the BL are showing virtually the same solution.

The EPS cold bias has been well documented by Radiant to exist even just 1-2 days out. Does that mean the mean will be too cold in this case, too? Not necessarily as we know that's not how biases work. I'm talking about the general VERY persistent cold bias that starts well before the medium range.
 
The EPS cold bias has been well documented by Radiant to exist even just 1-2 days out. Does that mean the mean will be too cold in this case, too? Not necessarily as we know that's not how biases work. I'm talking about the general VERY persistent cold bias.

This cold bias is really pronounced in the extended range (day 7+), inside the medium range not so much and the EPS is virtually in line w/ other guidance like the ICON that's usually way too warm, I'm just urging you not to broadbrush a NWP bias in every situation and at every time step because there are a multitude of confounding factors that mask or invigorate any bias at a given point in time. I think using prior knowledge about how storms like this often turn out in addition to taking into account how advantageous it often is to have a few extra thousand feet of elevation allows one to arrive at the conclusion that the axis of the EPS snow mean is probably too far SE verbatim but that doesn't necessarily mean it's cold biased in this particular situation, even if a more NWly solution verifies.
 
Here's a close-up of the 0z EPS on NC, SC, and NE GA.

As noted earlier, Charlotte is in the "sweet" spot w/ 1" mean although on one hand this assumes 10:1 SLRs (biases accums too high) but there's also a lot of internal and member-to-member variability (which biases the mean too low because the spread is still fairly large).

I'll take whatever I can get.

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I don't know about internal variability biasing the mean too low. But let's just assume the total snow shown were to turn out right when adding up the entire shaded area. IF SO, there'd likely be a small portion of the shaded area getting a good bit more than 1" (say perhaps as much as 3-5" or so) while most of the shaded area gets less than what is shown here with many spots getting a dusting or less. So, whereas a few areas would get much greater than the max that is shown here, most would get less than what is shown for their area on this map. So, the maximum shown here of 1" would likely be biased too low while at the same time the mean isn't biased low. That's how these things seem to work out a lot of times.
 
NAM slowed the energy down just a tad based off this Z500 map
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Really can't afford much, if any slowing along & NW of the I-85 corridor in NC, little bit more wiggle room for those in SC & GA. Events like this w/ modest mid-level warm advection often start on time or earlier than anticipated as the precipitation on the NW side of the coastal low is more expansive/intense than modeled due to the aforementioned mishandling of weak WAA (among other things)
 
I don't know about internal variability biasing the mean too low. But let's just assume this mean were to turn out right. IF SO, there'd likely be a small portion of the shaded area getting a good bit more than 1" (say perhaps as much as 3-5" or so) while most of the shaded area gets less than what is shown here with many spots getting a dusting or less. So, whereas a few areas would get much greater than the max that is shown here, most would get less than what is shown for their area on this map. So, the maximum shown here of 1" would likely be biased too low while at the same time the mean isn't biased low. That's how these things seem to work out a lot of times.

Internal variability amongst ensemble members biases the mean low because more spread = less signal, that's just basic statistics... A probability matched mean product would likely capture the amplitude correctly wrt 10:1 SLR snow in the models but after accounting for lower SLRs, warm ground, etc. that do have some effect (which is often overstated) on SLR, the actual mean here may be pretty close to reality.
 
@ForsythSnow should like the new NAM, I personally don’t like it lol

Precipitation type products may be a bit deceiving in this case w/o seeing soundings etc. but the total snowfall shows you're in the thick of it. P-type algorithms & most probable p-type output can be pretty wonky in a very marginal setup like this esp when p-type is even more dependent on p-rate that's extremely hard to predict beyond the e-folding time of mesoscale features (several hours or so)

namconus_asnow_seus_18.png
 
Really can't afford much, if any slowing along & NW of the I-85 corridor in NC, little bit more wiggle room for those in SC & GA. Events like this w/ modest mid-level warm advection often start on time or earlier than anticipated as the precipitation on the NW side of the coastal low is more expansive/intense than modeled due to the aforementioned mishandling of weak WAA (among other things)

Yeah, also 3km seems to be doing the same thing slowing it down a tad but not crazily like the 12km A53E858F-E1CE-4F8F-9E26-D10A4140B65B.gif
 
Internal variability amongst ensemble members biases the mean low because more spread = less signal, that's just basic statistics...

The mean for any location is the sum of the 52 members divided by 52. So, let's say, for example, that Charlotte is given 10" by one member, 5" by 2 members, 1" by 32 members, and none by 17 members. The 52 members add to 52". Then 52" divided by 52 = 1". Where is the low bias?
 
Internal variability amongst ensemble members biases the mean low because more spread = less signal, that's just basic statistics... A probability matched mean product would likely capture the amplitude correctly wrt 10:1 SLR snow in the models but after accounting for lower SLRs, warm ground, etc. that do have some effect (which is often overstated) on SLR, the actual mean here may be pretty close to reality.

More or less what I'm saying is the mean snowfall products may be right (more aptly less wrong) for the wrong reasons.
 
I think there will probably be more precip in this area where there is that forcing band over SC/NC line
 

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The mean for any location is the sum of the 52 members divided by 52. So, let's say, for example, that Charlotte is given 10" by one member, 5" by 2 members, 1" by 32 members, and none by 17 members. The 52 members add to 52". Then 52" divided by 52 = 1". Where is the low bias?

The low bias emerges from the standard deviation amongst the members, the higher the standard deviation/spread between members, the lower the mean is going to be in this case, the less significant/meaningful the results, and this also says the mean is going to deviate collectively more from each member in the ensemble, which = low bias or more generally, you actually get less signal. In this case, our "signal" is positive (> 0) snow output, thus more spread = less signal, less signal usually = less snow. But again, there are other confounding variables that are going to skew this figure back in the other direction towards less snow & perhaps completely overcompensate for this, thus we arrive at a similar conclusion anyway, just not for the right reason(s).

What's stated above is among the primary reasons why global ensemble mean snow in cases where a storm is actually coming to fruition, are practically useless for precise numbers inside a specific interval of time (usually inside 48 hours) because they're not properly dispersed inside the medium range which leads to a low bias in snow vs reality (Jan 16-18 2018 & Jan 3-4 2018 events are great case studies).

Again, this is basic statistics.
 
Precipitation type products may be a bit deceiving in this case w/o seeing soundings etc. but the total snowfall shows you're in the thick of it. P-type algorithms & most probable p-type output can be pretty wonky in a very marginal setup like this esp when p-type is even more dependent on p-rate that's extremely hard to predict beyond the e-folding time of mesoscale features (several hours or so)

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Well dang, I just actually looked at a sounding for my area when precip map showed rain, and it was a snow sounding, thanks for letting me know, always a good thing to look at soundings in these types of setups
 
According to a history book on Mecklenburg County, Charlotte received five inches of snow from the April 15, 1849 snowstorm. The S.C. Department of Natural Resources says 6 inches of snow was measured in that storm in Columbia. David Ludlum in his book on Early American Winters says four inches of snow fell in Fayetteville, NC and around six inches of snow was measured near Wilmington, NC. The Mecklenburg County history book account also mentions that it was not until mid-summer 1849 that trees made a "respectable shade." Sounds similar to what happened to the trees after the April 2007 freeze.

That same storm also covered the ground in Charleston too. Extremely rare but history can repeat.
 
I see wintry precipitation in the eastern Midlands on the NAMs what are the chances of that? I'm really shocked to see it as a possibility.
 
I’m also pretty confident there will be fluctuations with hires models until we get a defined low pressure to form on the coast and then the question is how strong does it get and how expansive it can get it’s precip shield
 
More unicorn jackpot for me on icon. Is this thing ever right?
icon_asnow_us_19.png
 
I’m also pretty confident there will be fluctuations with hires models until we get a defined low pressure to form on the coast and then the question is how strong does it get and how expansive it can get it’s precip shield
Precip shield usually expands up until zero hour
 
TWC says no snow for you! Hugging the GFS!4026A2A5-D7A3-41D9-A3C7-CF4E1B20D360.png
 
The 18Z GFS is about 50-100 miles SE of the 12Z GFS path when off the Carolinas and is the most SE there of the last 4 GFS runs. Cyclogenesis is in about the same spot off S FL but the heading from there averages slightly more easterly thus keeping it a little further SE. This could easily just be a burp.
 
The 18Z GFS is about 50-100 miles SE of the 12Z GFS path when off the Carolinas and is the most SE there of the last 4 GFS runs. Cyclogenesis is in about the same spot off S FL but the heading from there averages slightly more easterly thus keeping it a little further SE. This could easily just be a burp.

GFS is on an island in terms of large-scale track & evolution vs other NWP atm, a southeasterly bias that's almost always present in coastal cyclones (even just this far out) is definitely not helping its legitimacy atm.
 
The 18Z GFS is about 50-100 miles SE of the 12Z GFS path when off the Carolinas and is the most SE there of the last 4 GFS runs. Cyclogenesis is in about the same spot off S FL but the heading from there averages slightly more easterly thus keeping it a little further SE. This could easily just be a burp.
60º on April Fool's in Hogtown ... Larry, I'll take it; and BTW, it will be a tad bit south to SE IMHO ... which might help some folks outside the mtns ...
 
I'd take any of these from the 12z EPS and cash out for the season at least modestly satisfied.

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I’m starting to wonder whether I needa drive to my parents house in concord/kannapolis and if this might be a event where it causes delays or even closes schools down, lol, but yet again with me being in a better climo area then those areas I mentioned, hmm
 
I’m starting to wonder whether I needa drive to my parents house in concord/kannapolis and if this might be a event where it causes delays or even closes schools down, lol, but yet again with me being in a better climo area then those areas I mentioned, hmm
Grace comes to those who wait ... sometimes ... :rolleyes:
 
Why does the area of snow not translate north or east at all? Is it solely due to time of day?
 
GSP beginning to believe...

every now and then, something comes along
in the model guidance to make you go...wow. Today, that would
be the 12Z NAM, which continues to move a surface low on a track
much closer to the coast. The NAM solution would bring the deeper
moisture farther west where the slower mid/upper forcing can act
upon it...while cold air remains in place to the NW of the low
track...right across the heart of the GSP fcst area along the I-85
corridor. For those readers that have access to forecast soundings,
the wow factor can be seen in the NAM fcst soundings at GSP and CLT,
which show a deep isothermal layer resulting in a period of heavy
wet snow on Tuesday morning as the low passes. As a result, the
NAM cranks out 3-4 inches of wet snow at GSP
 
GSP beginning to believe...

every now and then, something comes along
in the model guidance to make you go...wow. Today, that would
be the 12Z NAM, which continues to move a surface low on a track
much closer to the coast. The NAM solution would bring the deeper
moisture farther west where the slower mid/upper forcing can act
upon it...while cold air remains in place to the NW of the low
track...right across the heart of the GSP fcst area along the I-85
corridor. For those readers that have access to forecast soundings,
the wow factor can be seen in the NAM fcst soundings at GSP and CLT,
which show a deep isothermal layer resulting in a period of heavy
wet snow on Tuesday morning as the low passes. As a result, the
NAM cranks out 3-4 inches of wet snow at GSP
Yeah it’s getting inside that timeframe where they can’t keep discounting it. I don’t blame them for holding off. April snow? Yeah right. Need the NAM to keep holding serve
 
GSP beginning to believe...

every now and then, something comes along
in the model guidance to make you go...wow. Today, that would
be the 12Z NAM, which continues to move a surface low on a track
much closer to the coast. The NAM solution would bring the deeper
moisture farther west where the slower mid/upper forcing can act
upon it...while cold air remains in place to the NW of the low
track...right across the heart of the GSP fcst area along the I-85
corridor. For those readers that have access to forecast soundings,
the wow factor can be seen in the NAM fcst soundings at GSP and CLT,
which show a deep isothermal layer resulting in a period of heavy
wet snow on Tuesday morning as the low passes. As a result, the
NAM cranks out 3-4 inches of wet snow at GSP

This is my favorite line, echoing most everyone's sentiment here.

"The question remains...where was this system back in February?"
 
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