ACATT
There was plenty of talk of the cold in the Upper Midwest last year. It was breathless media coverage of the wind chills and polar vortex. Selective memory FTL.
Yeah the bigger issue was not only buying the Euro whole cloth, but running with 36" forecasts. When that shifted out of the city and onto LI that's a lot of bad press.
I don't have the time to see what I said, but it's possible that the first was true while the rest was also true. Snow lasted about 16 hours at BOS, that's not really a "long" event if you think about 6-10 hours of WAA plus a few hours of deformation on the backside.
It's a state thing. Typically an environmental or health agency determines unsafe air quality and requests that we highlight the product.
This definitely isn't our first winter AQA this season. For trapped wood smoke as you've said.
Summer is typically build up of ozone (from sun breaking down car exhaust) or onshore flow sending pollution from the big cities back towards the coast.
Getting close to the convective scale introduces problems. Not my area of expertise, but I would imagine it leads to more of the chaos effect in the long term when you develop those small scale, but sometimes large magnitude features.
Meh, they're still getting better. I think what we've discovered with higher resolution and more frequent model runs, is that run to run variability is very high with a complicated process like the atmosphere. When we were limited to sparse data and infrequent model runs they seemed more locked than was actuality.
In the long term they really are just another ensemble member.
While somewhat true, in general the more events we have the better our stats tend to get. I can basically reverse engineer what our probability of detection should be for instrument flight rules (IFR) based on the amount of IFR conditions we experience over a period of time. Similar to snow events. The more warning events we have, the better our detection rate/false alarm should be.
Individual events can throw that off because a single winter isn't a large sample size of course. Valentine's Day did a number on us, as well as the events in December. But we did well during November and the late January Scooter's Revenge event.
Given how snowy it was our winter forecasts should've been pretty good. But we ended up accurately warning 91% of the warning events that occured, but falsely warned at a rate of 37%.
Kind of a weird year with a gap between the N MA/S NH higher zone that barely extends into PWM and the mountains. Climo says that fills in over the next two months.