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Major Hurricane Irma


NJwx85

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A short-term benchmark with some importance is the northern islands.  Models suggest that if Irma is going to remain over water north of Cuba, the eye will have to track north of the northernmost islands, while any track over the islands will send Irma into Cuba.  So far, there is no sign of any wnw bend.  If the bend doesn't start by morning, the islands are in trouble.

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ive been lurking since like page 20 and made an account to ask a question...

has anybody noticed that the Japanese model seems to be showing the same trends as GFS & Euro but much earlier.

to me it looks like whatever way the JMA goes the other 2 go the same way the next day 

 

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1 hour ago, seether said:

I believe these models are just as confused as most of us are haha.

I saw someone saying earlier that models are better than human beings (or vice versa) and I don't think either is better than the other.  Models don't have some magical knowledge from some advanced alien species that we don't know about.  All they are is a combo of the data we feed into them plus our knowledge of atmospheric physics- both of which are far from perfect.  So if the models are wrong, that is just a reflection of our lack of complete knowledge.  They can by definition neither be better than us or worse than us, since they are an artificial construct.

 

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11 minutes ago, TPAwx said:

Please stop with the models are confused or wrong nonsense.

EPS mean stays north or Cuba, kicks out, and eventually landfalls east of Panama City.

 

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Interesting trends we are seeing tonight for this to go into the Eastern Gulf/west side of Fla.

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33 minutes ago, LibertyBell said:

I saw someone saying earlier that models are better than human beings (or vice versa) and I don't think either is better than the other.  Models don't have some magical knowledge from some advanced alien species that we don't know about.  All they are is a combo of the data we feed into them plus our knowledge of atmospheric physics- both of which are far from perfect.  So if the models are wrong, that is just a reflection of our lack of complete knowledge.  They can by definition neither be better than us or worse than us, since they are an artificial construct.

 

Like the other poster said, this models are confused or wrong or humans are better nonsense needs to stop. 

Of course models are better than humans. No human can look at a real-time 500mb map or any combination of atmospheric parameters and make a 5+ day prediction about the weather any where close to as accurately as a computer model. They had accurate data in the 1970s and 1980s but they didn't even issue 5 day forecasts for hurricanes until 2003. And the track error today is less half what it was in the 1990s. It's not because humans were stupid in the 1990s or a lack of information. It's because no human can come even come close to a computer model for predicting the weather. Humans weren't even as good as computers in the 1990s. And models today are far better than the 1990s. Any human prediction today is almost entirely based upon model output.

Which is why the NHC basically copies the model consensus for hurricane track. And insofar as the NHC track slightly differs from the model consensus track, the model consensus track usually wins.

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3 minutes ago, skierinvermont said:

Of course models are better than humans. No human can look at a real-time 500mb map or any combination of atmospheric parameters and make a 5+ day prediction about the weather any where close to as accurately as a computer model. They had accurate data in the 1970s and 1980s but they didn't even issue 5 day forecasts for hurricanes until 2003. And the track error today is less half what it was in the 1990s. It's not because humans were stupid in the 1990s or a lack of information. It's because of no human can come even come close to a computer model for predicting the weather. Humans weren't even as good as computers in the 1990s. Any human prediction today is almost entirely based upon model output.

Which is why the NHC basically copies the model consensus for hurricane track. And insofar as the NHC track slightly differs from the model consensus track, the model consensus track usually wins.

I mean machine logic is faster than human beings sure, but the knowledge that is fed into the machine comes directly from our knowledge of atmospheric physics and our data.  What I was trying to say is you can't blame the model for it being "wrong"- what it outputs is directly related to what we know of the atmosphere and the data we feed into it.

Completely agree about models being much better than they were in the 80s and 90s, and that's a direct result of us improving them through gaining better knowledge of atmospheric physics.

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7 minutes ago, LibertyBell said:

I mean machine logic is faster than human beings sure, but the knowledge that is fed into the machine comes directly from our knowledge of atmospheric physics and our data.  What I was trying to say is you can't blame the model for it being "wrong"- what it outputs is directly related to what we know of the atmosphere and the data we feed into it.

OK I do get your point, the issue was more with a few of the other comments others have been making about models.  Models aren't some basic formula that can be reduced down to some basic human logic. They're millions of variables all interacting simultaneously according to complex mathematics. It would take 1,000 mathematicians doing computations 24 hours a day for a century to produce a 24hr forecast as accurately as a modern computer. Then it would take another 9 centuries to produce the 10 day forecast. And that's probably a massive understatement of their complexity.

Also from what I understand the bigger limiting factor for models in this day and age is the quality of the initialization data. 

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8 minutes ago, skierinvermont said:

Models aren't some basic formula that can be reduced down to some basic human logic. They're millions of variables all interacting simultaneously according to complex mathematics. It would take 1,000 mathematicians doing computations 24 hours a day for a century to produce a 24hr forecast as accurately as a modern computer.

Sure, that's why they must be run on supercomputers, what you described is actually atmospheric physics.  As we gain more knowledge of it, we improve the models further (and also being able to ingest more data through satellites, dropsondes, etc, than we could do 20-30 years ago because we're further into the space age and have better technology than we had back then.)  You're absolutely right that people weren't "dumber" in the 80s and 90s, but we did have less knowledge and not the level of technology we have today that makes the models so much better than they were back then.

But (as I'm sure you know) perfect forecasting will never be achieved (until the day that we are controlling the weather ourselves, that is) because what can be done is limited by chaos theory and random interactions (which, in addition to the possibility that our data might be slightly off, and both have a stronger influence at longer lead times,) is why we run ensembles and why they are more accurate at those longer lead times than operational runs.

 

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