romba
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I feel like blue wave has been lamenting the fast pac for a few years now, which has been the source of our misery, nina or nino doesn't seem to matter. Even in strong blocking patterns prior to the raging pac, we could still pull a strong phaser through.
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Anybody got the upside down Korean?
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Each update may not seem to be beneficial, but over the long run the trend is for more accuracy farther out from the event. It's rare these days to get surprised 2 days out but used to apparently be a somewhat frequent occurrence, even 15 years ago.
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For the previous miss we spent 3 days waiting for the ‘inevitable’ northern shift SWFE always take to turn snow to rain for us. Of course it didn’t happen- not holding my breath for this one
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I got you When the wind blows, we all know who goes
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2/13 Significant/Major Winter Storm Discussion & Observations
romba replied to Northof78's topic in New York City Metro
Recon data will be ingested for 0z? -
2/13 Significant/Major Winter Storm Discussion & Observations
romba replied to Northof78's topic in New York City Metro
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Probably using the newer AIs to review the models to pick out tendencies or biases, and then compensating. I'd think that weather is still too complicated/not enough sampling yet for this to be too helpful, but who knows if in a few years this really has an effect.
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Holy moly you think ppl are pissed at the zoo keeper for poor/under measuring now?
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There’s a middle finger somewhere in that image
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Very true, that’s actually ridiculous
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Not really, but neither have we seen anything close to a hit with any consistency either. Just because there’s no consensus for exactly how it misses NYC proper, doesn’t mean there’s no consensus that it does miss. Not the greatest logic I’ll admit, but there’s something to it.
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OP’s greater resolution hold more weight so close to start time, not sure how useful the ensembles are anymore.
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Very fair, but at this juncture I feel that with each passing 6 hours the odds of a significant correction get smaller and smaller. It’s getting late early, to quote the great Yogi.