CentralNJSnowman
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Ah I see. The ranges were right for the 'Expected' amounts, which seem to be equal to the top of the 'experimental, probabilistic amount ranges'. Confusing way to present things, but at least kind of makes sense.
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The numbers showing on the maps have no correlation with the numbers on the map key. For example, Syosset and Stony Brook say 3-8" on the maps, but their color says 8-12" on the key. Similar discrepancies throughout the map.
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Good trends this morning for those of us in Central NJ. No matter how long I'm at this, I STILL underestimate how much things can change at the (relatively) last minute...I was feeling pretty discouraged last night (I'm in southern Middlesex, near the Monmouth border). At this point, I wouldn't be surprised if I get an inch of sleety slop and also wouldn't be surprised if I get six inches of snow.
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Not sure comparing Lake Placid in the 80s and 90s to NYC area in 2020s is a good gauge of climate change. Pretty sure most winters are still quite cold and snowy in Lake Placid...even during Christmas week.
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If you're saying "most of the snow in La Nina comes early, so by the end of December a substantial portion of our opportunity has passed" - sure, I agree 100% But I think a lot of people bring up the rule of thumb as a way of predicting what will happen in Jan+Feb, implying that good Dec means good Jan+Feb and bad Dec means bad Jan+Feb. That might be true, but you can't analyze it by looking at correlation between Dec and full winter totals
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One other point about the "if you don't exceed 4 inches by end of December, it's going to be a below average year" rule of thumb...you're kind of cheating if you use December to predict the full winter (which includes December). Much more meaningful test of predictive power would be "If you don't exceed 4 inches by the end of December, then the REMAINING portion of the winter would be below average. Obviously, with Nov+Dec generally not accounting for a very large proportion of the winter's snow, it's not a HUGE problem, but this like a less extreme version of saying "If a hitter is batting below .300 on September 1st, he's unlikely to hit .300"...obviously true, but not much of a prediction of what will happen
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You've also cherry-picked specific cities, many of which have most of their snow driven primarily by lake effect snow. These apparent trends are also somewhat sensitive to exact start and end dates. For example, for Rochester and Syracuse, if you shift the entire chart about 4-5 years earlier, I'm pretty sure there would be no trend. I was in Buffalo from 1988-1992 (just before the start of your chart) and that was not a snowy period in Western NY and the past 5 years have not been snowy. I'm not saying that there isn't a gradual downtrend, but it's pretty easy to overestimate the pace of the trend by looking at a limited subset of the relevant data
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Read my post. Pretty sure it explains the confusion/contention
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Been meaning to mention this for a while. I think a lot of people (including some professionals) are misinterpreting the implications of the 12z and 0z being more accurate due to ingesting more fresh data. This means that right after the 0z comes out it's going to generally have better verification scores than the 6z does right after it comes out. It does not mean that after the 6z comes out, the 6 hour old 0z is going to still be more accurate than the brand new 6z. The 6z has access to whatever fresh data it ingested PLUS whatever was available at 0z for the data points where it hasn't ingested anything new. So it should still be better than a now-stale 0z. To summarize: maybe take 6z runs with a grain of salt, but still put more stock in them than in older runs
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Yeah - lasted 10-15 minutes. Probably somewhere between .25-.5 inches I'd estimate I think we're in the same town, unless you've moved anytime in the past 10 years or so
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Pouring in Central NJ right now
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Just wanted to call out that if this does end up in the 2-6 inch range that wdrag is suggesting, then this is going to be an epically good forecasting job by him. He didn't get sucked in when all models were showing 12-36 inches, and he hasn't moved his forecast now that they're all showing the storm completely missing us. I'm not sure there's ANYONE else who falls into both of those groups. If he's right, it would also suggest to me that there's a long way to go in improving the models, and that maybe deterministic, physics-based models which try to forecast what WILL happen instead of a range of probabilities just aren't the right approach for medium-range forecasting.

