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A British Supercomputer Can Predict Winter Weather a Year In Advance (thestack.com)

The national weather service of the U.K. claims it can now predict the weather up to a year in advance. An anonymous reader quotes The Stack: The development has been made possible thanks to supercomputer technology granted by the UK Government in 2014. The £97 million high-performance computing facility has allowed researchers to increase the resolution of climate models and to test the retrospective skill of forecasts over a 35-year period starting from 1980... The forecasters claim that new supercomputer-powered techniques have helped them develop a system to accurately predict North Atlantic Oscillation -- the climatic phenomenon which heavily impacts winters in the U.K.
The researchers apparently tested their supercomputer on 36 years worth of data, and reported proudly that they could predict winter weather a year in advance -- with 62% accuracy.

177 comments

  1. No it can't by Mr+D+from+63 · · Score: 4, Insightful

    I call BS on the headline. Let the damn thing prove it can do it before we claim it can. And doing regression model tweaking doesn't prove anything.

    1. Re:No it can't by AmiMoJo · · Score: 2

      They have made similar claims in the past. Back in the 90s I seem to recall that their fancy new computer would make predictions super accurate. In practice the Met Office seems to be one of the worst, far inferior to AccuWeather and the like.

      In fact, the BBC recently ditched them, although I think it was mostly due to the cost rather than them being inaccurate.

      --
      const int one = 65536; (Silvermoon, Texture.cs)
      SJW, n: "Someone I don't like, and by the way I'm a fuckwit" - AC
    2. Re:No it can't by michelcolman · · Score: 5, Funny

      Hey, but 62% accuracy... that's 12% better than me!

    3. Re:No it can't by Mr+D+from+63 · · Score: 3, Insightful

      I wonder if they did better than the Farmers Almanac?

    4. Re:No it can't by Anonymous Coward · · Score: 0

      Slightly better than flipping a coin.

      And it only cost them 97 million pounds.

    5. Re:No it can't by OneHundredAndTen · · Score: 2

      Indeed. They have been able to postdict with 62% accuracy - a very different thing. And hardly earth-shattering. I agree, it is mostly BS.

    6. Re:No it can't by Rei · · Score: 1

      Should be well worth it in terms of things like planning for agricultural products, natural gas supplies, etc.

      The real issue however is that they've validated it with hindcasting. Which is certainly something, but isn't as ideal as you'd want. It's trivially easy to fit any arbitrary past dataset to a statistical model if you have enough parameters that can be tweaked, but that doesn't mean that you're actually capturing the underlying dynamics. That said, from the sound of it it's built around a physical model, so that increases the odds that it actually is, rather than just fitting to some arbitrary curve.

      --
      "99 dead duelists of Dios on the wall. 99 dead duelists of Dios! Take one's ring, pass it around..."
    7. Re: No it can't by Anonymous Coward · · Score: 0

      Both,cost had gone up,accuracy had gone down..

    8. Re:No it can't by Anonymous Coward · · Score: 5, Funny

      I call BS on the headline. Let the damn thing prove it can do it before we claim it can. And doing regression model tweaking doesn't prove anything.

      Why? Predicting the winter weather in Britain is pretty simple. This little program will get it right about 90% of the time:

      #include <stdio.h>
      #include <string.h>
      #include <time.h>
      #include <unistd.h>

      int main()
      {
      char date[32];
      time_t rawtime;

      time (&rawtime);
      struct tm *timeinfo = localtime (&rawtime);
      strftime(date, sizeof(date)-1, "%d.%m.%y_%H:%M:%S", timeinfo);

      printf("[%s] Weather prediction: Precipitation\n", date);
      sleep(86400);
      }

    9. Re:No it can't by Anonymous Coward · · Score: 0

      A little better than a coin toss. Wow.

    10. Re:No it can't by TechyImmigrant · · Score: 1

      >The real issue however is that they've validated it with hindcasting.

      I suppose you do it right and compare against the future.
      Could you send me the S&P max and min valuation for 2017, 2018 and 2019 please?

      --
      I should use this sig to advertise my book ISBN-13 : 978-1501515132.
    11. Re:No it can't by Anonymous Coward · · Score: 0

      I can personally predict the weather five years in advance. I might not be accurate, but I can do it.

    12. Re: No it can't by Anonymous Coward · · Score: 2, Interesting

      It's NOT a statistical model, at least not in the sense you're likely thinking. Although the actual scientific article is ridiculously paywalled, it's definitely a dynamical model that numerically integrates partial differential equations (like the Navier-Stokes equations) forward to produce a solution. They are using an ensemble of the dynamical model solutions to create their forecast. Similar models already exist, such as NOAA's CFS, which are ensembles that make predictions several months in advance. No, you can't predict the weather on a given day months in advance (the limit is believed to be around 21 days) because the atmosphere is a chaotic system and small errors grow too large to make predictions useful. However, certain large scale phenomena such as El Nino have exhibited some predictability well beyond that time frame. Although there is no skill in predicting weather on a single day, statistical quantities like the mean have greater predictability. Using an ensemble, with each member initialized from different initial conditions, means that the predictability can be quantified in spite of the errors in the initial state. If you started the ensemble with 60 members using initial conditions from 60 days and integrated it forward a year, you'd expect to find even chances of the negatice phase and the positive phase of the NAO if there is no predictability. If a significant majority of the solutions show one phase instead of the other, it suggests that there is some predictability of the feature (in this case, the NAO) despite the uncertainty and errors from the initial conditions. The full ensemble is a stochastic model, but that's not statistical in the sense you were probably suggesting.

    13. Re:No it can't by rubycodez · · Score: 2

      I can do it with 100% accuracy, for the american midwest. My winter forecast calls for snow and cold, with periods of total darkness between sunset and sunrise. Crystallized hydrous precipitation will at times accumulate and form drifts, and will under certain conditions be made into snowballs and snowmen.

    14. Re:No it can't by drewsup · · Score: 1

      Why? Predicting the winter weather in Britain is pretty simple

      Uhhmm, wrong, predicting British weather is a PITA,( some might say a ROYAL PITA), the meandering jet stream and retrograde systems that come off the continent are a bitch to figure, Its not at all like the USA where you can watch storms march across 3000 miles and rightly predict rain on Tuesday.

    15. Re:No it can't by binarylarry · · Score: 2

      62% of the time... it works EVERY time.

      --
      Mod me down, my New Earth Global Warmingist friends!
    16. Re:No it can't by AchilleTalon · · Score: 2

      Yep, 62% is not impressive neither per see. How does this forecasting system is better than the Old Farmer's Almanac ? It is unclear to me.

      --
      Achille Talon
      Hop!
    17. Re:No it can't by vtcodger · · Score: 2

      As William Shakespeare might have said "Computers can predict weather a year ahead. So can I. So can any other man. But will the weather come when I summon it?" See Henry IV Part 1: Act 3, Scene 1, Page 3 nfs.sparknotes.com/henry4pt1/page_133.html for details.

      --
      You can't see ANYTHING from a car, You've got to get out of the goddamned contraption and walk...Edward Abbey
    18. Re: No it can't by vtcodger · · Score: 1

      "If a significant majority of the solutions show one phase instead of the other, it suggests that there is some predictability of the feature (in this case, the NAO) despite the uncertainty and errors from the initial conditions."

      There is, however, some chance that the models share some common incorrect assumption. They don't agree because they are correct, but because they are similar to each other. The Literary Digest effect -- sort of.

      Or they may simply agree by chance.

      --
      You can't see ANYTHING from a car, You've got to get out of the goddamned contraption and walk...Edward Abbey
    19. Re:No it can't by vtcodger · · Score: 1

      If nothing else, a good demonstration of the popularity of Python when C is overkill

      #!/bin/env python
      print "Weather prediction: Precipitation"

      Or bash
      echo "Weather prediction: Precipitation"

      --
      You can't see ANYTHING from a car, You've got to get out of the goddamned contraption and walk...Edward Abbey
    20. Re:No it can't by mrbester · · Score: 1

      Yes you can. It *will* rain on Tuesday in UK. You just didn't specifically ask how much and where...

      --
      "Wait. Something's happening. It's opening up! My God, it's full of apricots!"
    21. Re:No it can't by pr0fessor · · Score: 1

      That plus a constant wind chill in the plains... I live in Kansas.

    22. Re: No it can't by Anonymous Coward · · Score: 0

      And you would know, being so obviously well-informed about weather simulations.

    23. Re:No it can't by hambone142 · · Score: 1

      It is definitely BS.

      NOAA can't even predict weather one day in advance in many cases.

      I've seen them issue heavy storm alerts when it doesn't even rain

    24. Re:No it can't by Anonymous Coward · · Score: 0

      Only worth it if the times you need the forecast to be correct fall within the 62% of the times it's accurate. If thetimes you want the forecast to be correct fall within the 34% of times it's wrong, then you've got a very expensive chocolate teapot.

    25. Re:No it can't by rubycodez · · Score: 1

      Oh I have much more specific forecast for Kansas. This winter's forecast also calls for flat, flatter than a pancake

    26. Re: No it can't by Pseudonym · · Score: 1

      No, you can't predict the weather on a given day months in advance (the limit is believed to be around 21 days) because the atmosphere is a chaotic system and small errors grow too large to make predictions useful.

      Less than that if there's a volcanic or solar event.

      --
      sub f{($f)=@_;print"$f(q{$f});";}f(q{sub f{($f)=@_;print"$f(q{$f});";}f});
    27. Re:No it can't by Computershack · · Score: 1

      The Met Office are extremely good at 1/2/3 day forecasts. It was the Met Office that correctly predicted the path of Katrina, not any of the US weather agencies.

      --
      I only please one person per day. Today is not your day. Tomorrow isn't looking good either. - Scott Adams
    28. Re:No it can't by Anonymous Coward · · Score: 0

      Me too. For 93 million euros I'll try real hard for a year to be 12% better. Promise!

    29. Re:No it can't by TheRaven64 · · Score: 1

      You get better than 62% accuracy a year in advance by predicting that the weather will be exactly the same as a year ago.

      --
      I am TheRaven on Soylent News
    30. Re:No it can't by Jon+Peterson · · Score: 1

      If I could be right about a coin toss 62% of the time, I could get very rich, very easily.

      Since the weather has a huge impact on the economy (not least because heating/cooling costs) if this model is as accurate as claimed, that's pretty useful.

      --
      ----- .sig: file not found
    31. Re:No it can't by Anonymous Coward · · Score: 0

      For $97 million you can buy tons of compliant climate scientists though.

    32. Re:No it can't by Anonymous Coward · · Score: 0

      Something tells me they'll be predicting warmer winters every year for the next 25 years. Corrections and admissions won't be necessary... because the media cycle won't care.

    33. Re:No it can't by smallfries · · Score: 2

      I don't see any stylish manipulation of timestamps into a correct imperial format in your code.

      --
      Slashdot: where don knuth is an idiot because he cant grasp the awesome power of php
    34. Re:No it can't by Anonymous Coward · · Score: 1

      Pfft! It's the UK. You can get 70% accuracy by predicting rain every day.

    35. Re:No it can't by michelcolman · · Score: 1

      Wow, you're good!

    36. Re:No it can't by Anonymous Coward · · Score: 0

      [citation needed]

    37. Re:No it can't by Big+Hairy+Ian · · Score: 1

      It's going to be cold and wet and there will definitely be some snow WTF else do you need to know a year in advance

      --

      Build a Man a Fire, and He'll Be Warm for a Day. Set a Man on Fire, and He'll Be Warm for the Rest of His Life.

    38. Re:No it can't by JasterBobaMereel · · Score: 1

      They can predict climate that far ahead

      They can only predict weather up to 7 days ahead ....

      The title is bogus, the artical is correct ...

      --
      Puteulanus fenestra mortis
    39. Re:No it can't by pr0fessor · · Score: 1

      I always find the Hollywood portrayal of Kansas funny because I live in the flint hills on the east side of the state which are not flat and also where the majority of the states population lives. It's only the western two thirds of the state that is actually flat with fields as far as you can see and no people or towns.

    40. Re:No it can't by Anonymous Coward · · Score: 0

      That, plus we can not even OBSERVE the weather with 62% accuracy, it fluctuates too much! Maybe they mean that they did a prediction like "It will rain on the 25 of October and be 10 deg C mid-day" and they were only 45% of the year off?

    41. Re:No it can't by Anonymous Coward · · Score: 0

      This is a job for Captain Barbossa!

      "Don't dare impugn my honor, boy! I agreed she'd go free, but it was you who failed to specify when nor where!"

    42. Re:No it can't by Anonymous Coward · · Score: 0

      Western Kansas is covered by rolling hills, based on driving on the interstate.

    43. Re:No it can't by Anonymous Coward · · Score: 0

      Yeah, but they had to use the pound coins somehow. Flipping 97 million coins would be a long, hard task, now they only have to flip one, electronically.

    44. Re:No it can't by michael_wojcik · · Score: 1

      It's either 12 percentage points better than you, or 24% better than you.

      Because pedantry makes jokes funnier.

    45. Re:No it can't by michael_wojcik · · Score: 1

      And not all of western Kansas is particularly flat, for that matter. Much of the high plains is rolling. Try driving down, say, US 40 after it splits off from I-70 - it's much less flat than those final miles of I-70 on the western end of Kansas. Nebraska's probably flatter overall than Kansas is, since in the former the rolling plains end further east.

      On the other hand, continue west on I-70 into Colorado, and you have maybe a hundred miles of flat flat flat. (Less so to the south - it's pretty hilly around Rocky Ford and La Junta, for example.) But all that figures in the popular imagination is mountains.

      But then it's hardly news that US mass culture hasn't been hugely interested in accurate portrayals of most of the country.

    46. Re:No it can't by pr0fessor · · Score: 1

      On i70 it's really flat from Hayes all the way past the Colorado boarder and then you find yourself asking where are the mountains... That stretch always makes me extra sleepy and if I don't have the cruise control set I'll be doing 90-100mph with out realizing it.

      After 40 splits off from i70 it's only about 70-80 miles to the border but yeah there are more things than the flint hills and rolling hills that people don't expect like a 33,000 acres of lake and damn on the republican river.

    47. Re:No it can't by Anonymous Coward · · Score: 0

      How accurate were the meteorological forecasts in comparison to the computer model? It is pretty easy to regressively tweak the model to fit the data of the past. I watched EPA researchers do the in the late seventies. But predictive ability in simulation of the future is another matter. So what is this years Winter Forecast. Publish that and you might have more credibility in the spring. But the researchers need a several year track record that differs and is more accurate than other prediction mechanisms and methods. Currently what they have is a predictive model that accurately predicts the past. But so do newspapers. Forecast the future winter and the next few a year in advance as you say you can, then claim it is an accurate working model. Beware of butterflies though.

    48. Re:No it can't by lsatenstein · · Score: 1

      I call BS on the headline. Let the damn thing prove it can do it before we claim it can. And doing regression model tweaking doesn't prove anything.

      The farmer's almanac does as as good a job of prediction as will any mega or super computer.

      --
      Leslie Satenstein Montreal Quebec Canada
    49. Re:No it can't by Chalnoth · · Score: 1

      If you look into it in a bit more detail, the actual claims made are much less ridiculous than the headline makes them sound.

      They're basically claiming to be able to predict (with lots of uncertainty) whether or not next year's winter will be particularly severe. This is useful, but not nearly as precise as the headline makes it seem.

  2. fallacy by rubycodez · · Score: 1

    using historical data, that's just as silly as "cooking the books". There is one and only one way to test the validity of such a system, and that will take over a year....

    1. Re:fallacy by Calydor · · Score: 5, Interesting

      No, what they mean is they test it by feeding it the data from 1995, then comparing its predictions to what the weather was actually like in 1996. They are doing exactly what you say is the only way to test the validity of the data - they just started collecting data long ago.

      THAT SAID, 62% correct doesn't seem all that awesome unless they use very tight margins. Does the computer say it'll be -10C and then count it as a fail if it's actually -11C? -15C? Does it say 'Good enough' if it says "Rain and 5C" and instead we get "Snow and -2C"?

      --
      -=This sig has nothing to do with my comment. Move along now=-
    2. Re:fallacy by colinrichardday · · Score: 1

      Did they access to the 1996 data when they developed the model?

    3. Re:fallacy by Orgasmatron · · Score: 1

      If the model only uses constants found in this list, the data from the past is already cooked into the algorithms it uses. It really needs to do better than 62% verifying (not predicting) itself using the past.

      Or, possibly, past data was funny in some way and the model is superior, in which case call me in 2 years to tell me that it is off to a good start.

      --
      See that "Preview" button?
    4. Re:fallacy by WhiplashII · · Score: 3, Insightful

      The problem with that approach is that you will tweak the algorithm until it works in 1996.

      In other words, you will incorporate 1996 into the test set.

      This is the big problem with almost all climate studies, and the reason why people that understand statistics really hate the current climate "science" as it is done. You really do need to make a prediction, and then test the prediction. If you get it wrong, you cannot re-try against the same data set until it works.

      --
      while (sig==sig) sig=!sig;
    5. Re:fallacy by rubycodez · · Score: 3, Insightful

      There are an infinite number of functions that can go through the data points of the past. I could make you 1,000 perfect stock predictors for past data.

      Ask yourself, how did they refine and improve this model over time? It's nothing but a pile of cooked books

    6. Re:fallacy by Calydor · · Score: 1

      But if they manage to tweak the model so it fits the data set of 1980, 1981, 1982 etc. all the way up to now, isn't that essentially the same as starting today and predicting 2017, then tweaking the model a bit and using that to predict 2018, then tweaking it a bit because you missed something and so on?

      --
      -=This sig has nothing to do with my comment. Move along now=-
    7. Re:fallacy by Rei · · Score: 1

      Gee, if only there were statisticians involved in climate research. Too bad nobody ever thought of that one.

      --
      "99 dead duelists of Dios on the wall. 99 dead duelists of Dios! Take one's ring, pass it around..."
    8. Re:fallacy by Anonymous Coward · · Score: 1

      So in short they are feeding it the Farmers Almanac.

    9. Re:fallacy by Anonymous Coward · · Score: 0

      Overfitting and is supposed that they know about it.

    10. Re:fallacy by ClickOnThis · · Score: 2

      Did they access to the 1996 data when they developed the model?

      Well of course they did. How else could they test the 1996 predictions the model made from the 1995 (and earlier) data?

      You build models by using prior data to adjust the model's parameters to "predict" new data, until the accuracy of the prediction is optimal.

      You seem to imply that they cheated somehow. Generally, scientists are honest, with the exception of a small minority who are discovered by their peers and vilified.

      --
      If it weren't for deadlines, nothing would be late.
    11. Re:fallacy by phantomfive · · Score: 4, Insightful

      No, not at all, because doing what you described is incorporating brand new data every year.

      They kept adjusting the algorithm over and over until they got the right answer from 1980 onwards. The huge risk with that method is overfitting, and if you develop an algorithm this way, it's important to also show that you've managed to avoid overfitting.

      You can do the same thing with stock market data: adjust it until you get nearly 90% correct returns on a test interval, then you will find that the next year, the model is completely wrong because of overfit. Even if you incorporate the next years data, you will still get incorrect results because the nature of the stock market is chaotic and also random.

      --
      "First they came for the slanderers and i said nothing."
    12. Re:fallacy by stabiesoft · · Score: 1

      I need to introduce you to my broker. He always tells me to get into the stocks and indexes that just did well. Of course he also always says past performance is no guarantee of future results. All these models (climate, stock, economic etc) are great until they don't work.

    13. Re:fallacy by Bongo · · Score: 2

      Because the human mind is incapable of bias and groups of minds are incapable of systematic bias?! There's a reason we say a real test of a prediction requires waiting for the real future. And this should be obvious to everyone. And before anyone tells "troll", smart intelligent honest people are as subject to bias as anyone, except because they know they are smart and honest, they are also subject to what's called "expert bias". It's just one more thing to be aware of as we pursue greater knowledge and insight. And it is unfortunate that many will dismiss experts purely because the experts say something inconvenient to various selfish interests and ignorance, but that's also just one more thing to bear in mind. Gaining knowledge is hard.

    14. Re:fallacy by ChrisMaple · · Score: 1

      You can do the same thing with the stock market, and many people do. It works until it stops working.

      Then a new system is announced, to great fanfare. Lather, rinse, repeat endlessly.

      --
      Contribute to civilization: ari.aynrand.org/donate
    15. Re: fallacy by Anonymous Coward · · Score: 0

      More importantly, did we collect enough data in 1995/1996 to be meaningful?

      Somehow, from my experience with mathematicians and scientists, it would have been far more cost effective to hire a few good programmers to optimize the code instead. I do this regularly.

    16. Re:fallacy by ShanghaiBill · · Score: 1

      No, what they mean is they test it by feeding it the data from 1995, then comparing its predictions to what the weather was actually like in 1996.

      Sure, and when one algorithm doesn't work, you try another, and another, and another. Then after 19 failures, you find an algorithm that works on the data from 1995 to predict 1996 weather with a 95% confidence level.

      You can do the same thing with jelly beans.

    17. Re:fallacy by Anonymous Coward · · Score: 1

      You can do the same thing with the stock market, and many people do. It works until it stops working.

      Then a new system is announced, to great fanfare. Lather, rinse, repeat endlessly.

      To be fair, the stock market is responsive to predictions - all market movements are based on the actions of humans and of programmed systems, both of which will change if you provide people with a way to predict the outcome (since acting differently to how they would otherwise have done is precisely how they will profit from the predictions) - whereas the weather mostly isn't affected by those sort of factors.

    18. Re:fallacy by vtcodger · · Score: 1

      IIRC, the Farmer's Almanac claims to have a method for making predictions. Could be. AFAIK, their method is proprietary.

      I've long suspected their editorial staff assembles in a Pub a few weeks before the printer's deadline and throws darts while the soberist attendee takes notes. But they could have more rigor. Or maybe throwing darts works.

      --
      You can't see ANYTHING from a car, You've got to get out of the goddamned contraption and walk...Edward Abbey
    19. Re: fallacy by Anonymous Coward · · Score: 5, Insightful

      And more ignorant nonsense gets modded Informative. The anti-science here is getting worse. Posters like you not only drastically overestimate your own knowledge of unfamiliar fields, you then insist to others it must all be a scam.

      Weather and climate models aren't some arbitrary curve-fitting; they're physically based using ridiculously detailed physical simulations of air movements and ocean currents, starting from an observed state and running the simulation forward. Read up a little, and maybe you'll learn how to learn again.

    20. Re: fallacy by Anonymous Coward · · Score: 2, Insightful

      Your claims of overfitting would mean something if they used a purely statistical model, but it's not - it's a physical simulation, constrained by laws of thermodynamics.

      It amazes me that people say how trivial it is to fit statistical models perfectly to any random data (the stock market always gets mentioned here), yet don't think to wonder why they "only" got 62% accuracy. You'd think that this would be a huge red flag that your assumptions are wrong, but instead it's waved away as them all being dumber than a high school stats student - or more commonly a scam, with the researchers clearly hoping that no meddling high school stats students would notice.

    21. Re: fallacy by Anonymous Coward · · Score: 0

      And there are plenty of them and most turn out to fail.
      I don't see why we should trust this particular model when it is so easy to just wait a year and see how it holds up.
      It it works, great! If it fails, no harm done as long as we don't start relying on it now as if it was somehow more reliable than previous failed models.

    22. Re: fallacy by Anonymous Coward · · Score: 0

      i thought people in this forum knew how computers and programs worked? that simulation is just a collection of statistical models mashed into one big ugly cluster fuck and interpreted(simplified) for you, because apparently you don't get how climate models are developed

    23. Re:fallacy by colinrichardday · · Score: 1

      Using 1996 data to construct a model that conforms to 1996 data is cheating.

    24. Re: fallacy by Anonymous Coward · · Score: 0

      Someone else who missed the big red flag. Here, learn something.

    25. Re:fallacy by Anonymous Coward · · Score: 0

      Or you can do a huge physically-based simulation using the real laws of thermodynamics, which is what they actually do.

      I imagine it never occurred to you to wonder why they needed a supercomputer just to try a few statistical models, and still only managed 62% accuracy rather than 95%. If it had, you might have stopped to think.

    26. Re: fallacy by Anonymous Coward · · Score: 0

      If you think a single year's results confirms anything, then you really need to read the links posted above. And if you think "most" climate models fail, then you probably also have deep misconceptions about what they're trying to model.

      Comparing (a couple decades of) predicted results against future observation is still the acid test of course, but testing against historical data is obviously very useful, or they wouldn't bother doing it. With a large enough dataset, it can give an excellent idea of how good your model will turn out to be.

    27. Re: fallacy by Anonymous Coward · · Score: 0

      It is equally fallacious to believe that an extremely complicated (but still incomplete) model will provide more accurate predictions simply by virtue of having "ridiculously detailed physically based simulations". The model over-fitting problem still exists no matter how much physics you throw into your model.

    28. Re:fallacy by Anonymous Coward · · Score: 0

      They call the authors of the paper Hindsight et al.

    29. Re:fallacy by Anonymous Coward · · Score: 0

      lol, your real funny...

      climategate emails indicate they don't have any statisticians.

      in fact they seem to be proud opf that fact...

      Mann in particular seems to be fond of telling real statisticians that they don't understand his maths and are wrong about him being an arrogant idiot...

    30. Re:fallacy by Anonymous Coward · · Score: 0

      I think you're misusing the terminology.

      To create/develop a model with a set of data means that you used that data to train the model. It does not mean you used the data to test the model. If they used the 1996 data to train the model, and then it reliably predicted 1996 weather - it's surprises no one that it makes the predictions correctly.

      Testing a model is not part of developing a model. You might say testing is part of the development process, but this is using 'development' in more of a project management sense and not what you would say in terms of data mining or machine learning. Testing a model simply shows how well your trained model can make predictions based on the test data.

    31. Re: fallacy by Anonymous Coward · · Score: 0

      Your claims of overfitting would mean something if they used a purely statistical model, but it's not - it's a physical simulation, constrained by laws of thermodynamics.

      It amazes me that people say how trivial it is to fit statistical models perfectly to any random data (the stock market always gets mentioned here), yet don't think to wonder why they "only" got 62% accuracy. You'd think that this would be a huge red flag that your assumptions are wrong, but instead it's waved away as them all being dumber than a high school stats student - or more commonly a scam, with the researchers clearly hoping that no meddling high school stats students would notice.

      I'd say they are more being classed as undergrad comp sci students. Seeing as you don't seem to be familiar with the computer simulation of complex systems, let me explain it for you. In a field like particle physics where we want to try and build a fusion reactor, we run computer simulations. We KNOW, with absolute certainty all the rules of particle interaction happening in the 1 meter or so of plasma being studied. By your quip about thermodynamics constraints, particle physics simulations should always be perfect. The trouble is computers are still limited because the number of particles in that space is simply to astronomically huge to run a straight up perfect calculation of all the interactions occurring between each and every particle. Thus, computer simulations are forced to make approximations and averages in clever ways to cut down the number of calculations performed. The problem being, making those averages accurate enough is hard and specific to a huge number of variables. In the real world, computer simulations of plasma configurations are ultimately improved iteratively by comparing them to real world machines and tweaking accordingly as they discover things their simulations failed to catch. The problem is so difficult, that even predicting the changes of simply making an identical but slightly larger machine is still not trusted under computer simulations, because as often as not the simplified physics required in the simulation still miss something.

      So, with the incredible challenges of simulating the number of particles that in a bathtub being that tricky, it shouldn't exactly be all that surprising to note that simulating the physics of something like the entirety of the planet's surface and oceans is not precise down to the basic particle physics interaction level. In fact, with nothing but hindcasts as the 'verification' of climate models, we really can't declare anything at all about their predictive abilities, exactly as GP describes. Hindcasts help us with testing our understanding of things still, and models that can do it successfully help us understand possible limits and boundaries on how systems interact. However, with all the unknown factors still baked in, and no predictive tests done, you CAN NOT make claims about their predictive skills. That's just blind, dumb ignorance and suggest that anyone making said claims fails to appreciate that any hindcast tested model is ALWAYS susceptible to having the answers baked into the model one way or another.

    32. Re: fallacy by Anonymous Coward · · Score: 0

      And more ignorant nonsense gets modded Informative. The anti-science here is getting worse. Posters like you not only drastically overestimate your own knowledge of unfamiliar fields, you then insist to others it must all be a scam.

      Weather and climate models aren't some arbitrary curve-fitting; they're physically based using ridiculously detailed physical simulations of air movements and ocean currents, starting from an observed state and running the simulation forward. Read up a little, and maybe you'll learn how to learn again.

      And the over-zealous faith in anything tagged science is just as bad.

      Simulations of plasma physics are orders of magnitude more detailed still, and examining problems over immensely smaller timescales, like fractions of seconds of a cubic metre, as opposed to decades and centuries of our entire planet. Go talk to physicists working with plasma physics though and ask them about computer simulated predictions for any radical new plasma confinement configuration. The computer simulated results are a reasonable starting point, but are certainly not considered definitive by anybody. More often than not, on building a real world machine it doesn't match the simulation. So much so in fact, that often times demonstrating a promising configuration in a computer model isn't enough to even get a prototype built.

      The sacrifices in accuracy made for a plasma physics model is minute compared to what climate models have to do. We are talking computational cells the mesuared in miles in many cases.

      You can act indignant and rail against claims that over fitting isn't a problem because of the physical simulation underneath, but you are simply flat wrong. The enormous number of simplifications made to compute results is a huge window for injecting over fit into a hindcast. Read up on climate model tuning and you'll see the authors themselves saying EXACTLY that(quote at the end). They note that there are times were you get better results by taking variables AWAY from the more realistic values they should have.

      CM3w predicts the most realistic 20th century warming. However, this is achieved with a small and less desirable threshold radius of 6.0 m for the onset of precipitation. Conversely, CM3c uses a more desirable value of 10.6 m but produces a very unrealistic 20th century temperature evolution.

    33. Re: fallacy by Captain+Scurvy · · Score: 1

      Weather and climate models aren't some arbitrary curve-fitting; they're physically based using ridiculously detailed physical simulations of air movements and ocean currents, starting from an observed state and running the simulation forward.

      Just because a set of predictions is based on a physical model does not necessarily make it a better set of predictions. Physical models are still hypotheses, in that the basic premises behind the model and even the construction of the model itself have not been demonstrated as an accurate representation of reality. It is not until the model turns out accurate predictions that are significantly better than random that the hypothesis stands a chance of being correct.

      I'm a reservoir engineer for a large oil and gas company, and we actually avoid using physical models/simulations like these to book reserves because of how horribly they perform. Third-party reserves auditors also make this recommendation. And it's not like the oil and gas industry hasn't invested a tremendous amount of money into the best-performing forecasting methodologies available. But they are held to a much stricter standard of performance simply by way of return on investment.

    34. Re:fallacy by david_thornley · · Score: 1

      A test of predictions doesn't necessarily mean waiting. If you use the data available at the nominal time of prediction, and haven't used this particular prediction in your training data, it's perfectly valid.

      --
      "When you have eliminated the unacceptable, whatever is left, however improbable, must be the truthiness" - Holmes
    35. Re: fallacy by rubycodez · · Score: 1

      You are the ignorant one, thousands of models are made and then they are culled. They most certainly are a type of "arbitrary curve fitting"

  3. bullshit by nitehawk214 · · Score: 2, Interesting

    It is predicting climate, not weather.

    --
    I'm a good cook. I'm a fantastic eater. - Steven Brust
    1. Re:bullshit by Anonymous Coward · · Score: 0

      So the best modeling offered can predict next years climate with 62% accuracy. That says a lot about climate modeling over the next century.

    2. Re:bullshit by Anonymous Coward · · Score: 0

      George Carlin hippy dippy weatherman:
      continue dark tonight turning to partly light in the morning

    3. Re:bullshit by K.+S.+Kyosuke · · Score: 1

      Predicting Britain's winter temperature is still not the same as predicting world's average temperature for a decade. The Britain thing is probably still "weathery" enough to be less predictable.

      --
      Ezekiel 23:20
    4. Re:bullshit by Dutch+Gun · · Score: 2

      So the best modeling offered can predict next years climate with 62% accuracy. That says a lot about climate modeling over the next century.

      Keep in mind that while short term predictions can be chaotic, it's sometimes easier to see long-term patterns emerge, and to extrapolate data from those trends, like trending lines through a scatter plot. I agree that anything looking a century out is guesswork at best, but I'm not sure I'd say the same looking a decade out.

      Historically, many climate-related doomsday predictions have been laughably innacurate. It's for this reason that I continue to be somewhat skeptical about current doomsday or long term projections, because so far *no one* has had much success with those sorts of predictions. Even so, as we have better instrumentation and more historical data with which to create models, it's all but inevitable that our climate prediction models become more accurate as well, certainly for shorter to medium length predictions, and maybe someday, even longer term.

      --
      Irony: Agile development has too much intertia to be abandoned now.
    5. Re:bullshit by mrbester · · Score: 1

      UK doesn't have a climate. Even "temperate" isn't accurate, though that is the closest.

      --
      "Wait. Something's happening. It's opening up! My God, it's full of apricots!"
    6. Re:bullshit by Anonymous Coward · · Score: 0

      So you're saying there's no weather in the UK?

  4. 67% is not that good by Anonymous Coward · · Score: 0

    Being able to predict a coin toss with 50% accuracy provides 0 information content.

    Also, its England. It will rain is likely going to be 80% accurate on any day. Change that a bit with the seasons and bang.

    1. Re:67% is not that good by Rei · · Score: 1

      It's good for the NAO. When you're pushing the boundaries, anything over 50% is good.

      For long-term climate models, things like the NAO average out across many years. For short-term weather forecasting, you have a week or more before the system diverges enough to cease to be useful. But it's tougher working on those in-between scales.

      --
      "99 dead duelists of Dios on the wall. 99 dead duelists of Dios! Take one's ring, pass it around..."
    2. Re:67% is not that good by AthanasiusKircher · · Score: 2

      When you're pushing the boundaries, anything over 50% is good.

      Is it? It depends on the data, the model, the thresholds for "correct forecast," etc. There are lots of places in the world where a "persistence" forecast (i.e., today will be the same as yesterday) will net you a greater than 50% accuracy within a reasonable margin of error. And one should also always consider forecasting models against general predicted climate averages. Again, taking those into account, a forecast system just using climate averages might do pretty well too.

      It really depends on what the percentage "accuracy" means in this case and how it was measured. I'm guessing they wouldn't bother reporting it if it weren't significant, but just how significant is difficult to tell without the details (and it seems the full research paper is behind a paywall).

      Otherwise citing a number like "62% accuracy" is utterly meaningless. If you had a task like, "Guess how tall the next person to walk into the building will be," and I achieved 62% accuracy, that could be remarkable and improbable if the margin of error was 1/8 of an inch. But if I instead was guessing "Taller than 1 foot or shorter than 1 foot," then 62% accuracy might mean I'm mentally retarded.

    3. Re:67% is not that good by Anonymous Coward · · Score: 0

      today will be the same as yesterday

      That's not exactly pushing the boundaries, is it?

      one should also always consider forecasting models against general predicted climate averages

      And how will long-term climate averages help model the North Atlantic Oscillation?

      it seems the full research paper is behind a paywall

      Try this one.

  5. Predicting the past is easy... by Anonymous Coward · · Score: 0

    The system recognizes the data it has been trained with. Or you split your data set into two, train with one half, predict with the other. So far, so good, so reasonable. Now results aren't all that good, so you change algorithms, parameters, try again. Which is again matching the existing data, just in a more manual way.

    And with human-made climate change, predicting the past is not even overly helpful since the weather is going where records never were.

    1. Re:Predicting the past is easy... by Hognoxious · · Score: 2

      You're talking about overfitting.

      The thing is they aren't doing that regression-and- frigging-the-coefficients thing. It's a physics based, bottom up, method.

      Nice armchair.

      --
      Confucius say, "Find worm in apple - bad. Find half a worm - worse."
  6. That is some high quality BS by Anonymous Coward · · Score: 0

    If the Brits wanted their weather predicted for the past 30 years, I'd have done it for only 50 million pounds. I think they got a bit ripped off.

  7. So can I by blogagog · · Score: 5, Insightful

    66% of the days in London contain some form of precipitation. So, I predict rain every day. I'm right 66% of the time. Wow, I'm smarter than a supercomputer!

    1. Re:So can I by Anonymous Coward · · Score: 0

      You could be even more accurate if you made the same prediction about Manchester.

    2. Re:So can I by beh · · Score: 2

      So, you think that supercomputer will only figure out whether it rains on the day?

      Or do you think it might forecast a little more information about the day as well? (air pressure, wind, temperature, ...)

      I laud the attempt to improve the models behind the forecasts - though, I don't think I'd buy options on winter fuel for 2017/2018 yet, simply because of that computer.

      On the other hand - if you know the average chance of precipitation for a given day in the American midwest - I don't think it would help you predict in which area the next tornado might strike. Or whether the next hurricane makes landfall, where it will make it and at what strength...

      Any advance on increasing the predictions here has the potential to save lives and livelihoods -- even if it might not be enough to save someone's house in the path of the storm.

    3. Re:So can I by Anonymous Coward · · Score: 1

      Now follow that out to its logical conclusion. Your statistical model is easy to conceive and pretty accurate. Using more advanced statistical methods should yield a more accurate estimation. Clearly that's not what they did.

      This is not a statistical model. It works because physics. Get a clue

  8. I'mt still sticking with ... by PPH · · Score: 2

    ... the Farmer's Almanac.

    Or just ask an indian. When asked how he could tell how cold the winters would be, one old chief just said, "I watch how much firewood the white man splits."

    --
    Have gnu, will travel.
    1. Re:I'mt still sticking with ... by Anonymous Coward · · Score: 2, Interesting

      When asked how he could tell how cold the winters would be, one old chief just said, "I watch how much firewood the white man splits."

      That only sounds silly to people who don't consider humans to be animals.

      If the chief would have answered that he looked at how much food beavers stockpiled then no-one would have found it funny.
      White mans gut feeling works just as well as any other animals gut feeling and is a hell of a lot better than flipping a coin.

  9. ok let me guess by Anonymous Coward · · Score: 0

    its going to rain

  10. Yellow Journalism by Anonymous Coward · · Score: 0

    Losing context to sensationalism since the mid-1890s! or 1895 -- with 62% accuracy.

  11. Not ready for prime time. by Anonymous Coward · · Score: 0

    62% the weather will have some general trend that winter. Better than nothing but don't tell the public yet. They will just think they are smarter than supercomputers.

  12. 100% accuracy for less! by Anonymous Coward · · Score: 0

    I predict next winter is going to be...

    Bloody Rubbish

    Captcha: climates... go figure.

  13. You know they're right by Anonymous Coward · · Score: 0

    because "The skill increases greatly with ensemble size due to a spuriously small signal-to-noise ratio in the model" (from tfa)

  14. I live in the Uk and call BS by Ecuador · · Score: 0

    I've been living in the UK for the last three years an as I use a telescope I look at the weather daily. The national weather service barely gets a prediction correct FOR THE SAME NIGHT never mind days or years in advance! I am not kidding, there is something like an 80% or a bit more chance for clouds and a lower chance for precipitation, but the forecast only gives you slightly more information than that. Eg instead of 80/20 cloud odds, if the MET office thinks it will be cloudless, consider the odds to be something like 60/40 instead. The forecast for the next night is even less useful.
    For example, 2 days ago it was telling me there was a zero chance of rain and the clouds would be gone within the hour. I took my scope out and had to drag it back in due to the zero chance rain that was dropping (perhaps the heart of gold was using the improbability drive?). If it wasn't clear, this was the within the next hour prediction, I.e. Weather practically right now...
    If they could actually predict UK weather with any accuracy short term That would be a start. Now for 1 year later a forecast of "cloudy with a 50% chance of precipitation" would be correct most of the time, yet I would not call it a forecast.

    --
    Violence is the last refuge of the incompetent. Polar Scope Align for iOS
    1. Re:I live in the Uk and call BS by beh · · Score: 1

      I can somewhat attest to that - having lived in the UK from 2004 to 2009... In 2008 I tried taking some photos from our offices in Canary Wharf. I looked at the whether forecast every day before deciding whether to take camera+lenses+tripod to work that day. ...and for many of those days, the "visibility" forecast of the MET was pretty much the opposite of what happened -- hardly any visibility on days when it said "good" visibility -- and clear views on many days where the forecast was for poor visibility. In the end, I lugged the stuff around most days, waiting for days of good whether with low winds (no access to balcony if winds were more than 10 miles per hour (average)...

  15. With 62% accuracy by Anonymous Coward · · Score: 1

    it's not much more than a coin-toss, though.

  16. No shit! by Anonymous Coward · · Score: 0

    So can i!

  17. No historical data by kbg · · Score: 1

    This is only impressive if they didn't use any historical data at all to create the new super computer. If they did use historical data then the answer would be correct by definition. The way to test this is to use historical data make a prediction and then wait a year then compare to the real data only then you have any valid comparison.

    1. Re:No historical data by Psiren · · Score: 1

      This is only impressive if they didn't use any historical data at all to create the new super computer. If they did use historical data then the answer would be correct by definition. The way to test this is to use historical data make a prediction and then wait a year then compare to the real data only then you have any valid comparison.

      That's really dumb. Why would you wait a year, when you have 35 years of data? You test the model on 1980's data, and see how accurate it was by checking with 1981's data, and so on. They can do that 35 times, if they're looking a year ahead. If they're only looking a month ahead, they can do it 12 x 35 times.

    2. Re:No historical data by Anonymous Coward · · Score: 0

      >Why would you wait a year, when you have 35 years of data?

      Because of cheating.

      I was born at night, but I wasn't born last night.

    3. Re:No historical data by Anonymous Coward · · Score: 0

      Because it is very easy to just enter all the previous data into an array and then when trying to predict the "future" you just match the input against the array and pick a value out of the "future".
      It is extremely common that statistical models are trained in a fashion that is very similar to that but in such a roundabout way that the researchers doesn't realize that it is what they do.

      I can build a model that predicts the weather with 100% accuracy when you try to predict the weather for 1981-2015 by feeding it the previous year as input.
      That model will still be crap because it won't be usable to predict the future.

    4. Re:No historical data by kbg · · Score: 1

      Yes that is ok if you don't alter or fix the model based on the result of the historical data. But if your modal is based on or altered to fit the historical data, then what you got is just a model that can predict historical data very well. You have no way to know if that model can actually predict the future in any way unless you actually test it.

  18. Yes but can it... by thegarbz · · Score: 1

    Predict the weather next week?

  19. Weather by ledow · · Score: 1

    Little better than random chance, then.

    Pisses me off that the biggest IT investments and supercomputers exist for meteorogical purposes that perform little better than chance.

    Though important, for shipping, air travel, etc. it's not THAT important to get a tiny little percentage over just looking around and thinking it's going to piss down in a moment, or sticking a box in the North that lets you guess how long until the same weather hits the South.

    Just seems one enormous waste of money to me. And who exactly PAYS for their weather forecasts? Are airlines really paying millions of pounds a year to find out if the skies are going to be a bit rough?

    1. Re:Weather by serviscope_minor · · Score: 1, Insightful

      Little better than random chance, then.

      Chance only gives you 50/50 for a coin flip. The weather has many more states, so chance will give you something much worse than 50/50.

      --
      SJW n. One who posts facts.
    2. Re:Weather by guruevi · · Score: 1

      Weather in the UK is pretty simple to predict: foggy or rain

      --
      Custom electronics and digital signage for your business: www.evcircuits.com
  20. the answer is 42 by Anonymous Coward · · Score: 0

    we knew that before

    on a different note, my winter predictions have been shown to be 100% correct for all of northern Europe:

    I predict that the average temperature in winter is colder than the average temperature in summer. I promise I only use past data and I learnt it from more than 40 years of studying weather patterns.

  21. Is this computer by any chance by overshoot · · Score: 1

    named 'Glendower?'

    --
    Lacking <sarcasm> tags, /. substitutes moderation as "Troll."
  22. The modeler's creed by Anonymous Coward · · Score: 0

    All models are wrong.

    Some models are useful.

  23. 62% is fail by Joviex · · Score: 1

    62% accuracy is now the new 95%.

    Is this part of the "everyone wins" generation come to life in practical science now? lel

    1. Re:62% is fail by nitehawk214 · · Score: 1

      So, 12% better than a coin flip.

      Great, really, just great.

      --
      I'm a good cook. I'm a fantastic eater. - Steven Brust
    2. Re:62% is fail by religionofpeas · · Score: 3, Insightful

      That's only true if there are two types of weather to choose from.

  24. yes but can it also predict numbers? by nimbius · · Score: 1

    can it or can it not predict, say, numberwang?
    https://www.youtube.com/watch?...

    --
    Good people go to bed earlier.
  25. It's not very difficult by inking · · Score: 2

    to predict British weather.

  26. Really ? by ctrl-alt-canc · · Score: 3, Informative

    Arnold in one of his textbooxs demonstrated that, to make a weather prediction one month in advance, you need to measure pressure, temperature, wind speed and humidity with at least five significative decimals. He used sound mathematical methods based upon a theorem by Poincaré. With all the respect for technical skills and competence of people at Met Office, I trust more what Arnold demonstrated using nothing but paper and pencil. Good math is never overcome by brute force computation.

    1. Re:Really ? by Anonymous Coward · · Score: 0

      > make a weather prediction one month in advance, you need to measure pressure, temperature, wind speed and humidity with at least five significative decimals.

      How many decimals does it take to predict the weather 100 years from now?

    2. Re:Really ? by ctrl-alt-canc · · Score: 3, Informative

      When quoting Arnold I have been a little incorrect, since five figures of precision in the measurement of physical variables actually give you a two months forecast. But I studied this about thirty years ago...
      If you want to estimate the error, if n is the number of months of the forecast and eps is the measurement precision, the error is given by:
      10^(2.5n) times epsilon. As you can see the error rapidly increases, although the formula I transcribed from Arnold's textbook is quite rough (toroidal Earth, steady flux and negligible viscosity). Not a bad approximation for estimating trade winds flux, however.
      People at MET probably took care of the propagation of numerical errors in the calculation, by increasing the grid density and maybe setting up a system capable of working with quadruple precision. However the problem again is the needed precision of input data, that increases exponentially with the time forecasted.

    3. Re:Really ? by NickFortune · · Score: 1

      Arnold in one of his textbooxs demonstrated that, to make a weather prediction one month in advance ...

      In his textbooks, does he end each chapter with the words "I'll be back!" by any chance?

      --
      Don't let THEM immanentize the Eschaton!
  27. Slightly better than a coin toss by Anonymous Coward · · Score: 0

    Woohoo?

  28. I can probably do better than 62% accuracy by Streetlight · · Score: 1

    I predict that the temperatures in London, England, will be lower in December, 2018 than the temperature in July, 2018.

    --
    In a time of universal deceit, telling the truth is a revolutionary act. George Orwell
  29. North Atlantic Oscillation by QuietLagoon · · Score: 2

    ... a system to accurately predict North Atlantic Oscillation -- the climatic phenomenon which heavily impacts winters in the U.K. ...

    ... and also impacts winters in the northeast USA.

  30. No it can't by Anonymous Coward · · Score: 0

    Tired of all these ridiculous claims.

  31. So Can I by sudon't · · Score: 1

    A British Supercomputer Can Predict Winter Weather a Year In Advance

    Yeah, so can I: cold, with occasional snow and sleet.

    --
    -- sudon't

    Air-ride Equipped

  32. My 100 year calendar can do it as well by nospam007 · · Score: 1

    It says: The weather will get better or worse or it will stay as it is.

  33. So what? by argStyopa · · Score: 1

    I live in MN.
    I can predict "winter weather" - whatever the hell that means, precisely - to the same degree of accuracy 10 YEARS in advance.

    "In 2026, we will see 'winter weather' in Nov, Dec, Jan, Feb and well into March".

    If at least 2/3 of the years follow the normal weather patterns, I've just beaten their supercomputer.

    --
    -Styopa
  34. predicting weather is one thing by eneville · · Score: 1

    ... but does it run Linux?

    1. Re:predicting weather is one thing by Thong · · Score: 1

      Yes. It's called CLE or "Cray Linux Environment".

  35. Here's the prediction by Anonymous Coward · · Score: 0

    Heck, anyone with half a brain can predict winter weather in the UK ten years in advance if they wanted.

    "It will be overcast, and rainy throughout the day"

    Will result in about 70% accuracy for a prediction for most any winter day there.

    Better than random odds.

  36. CRAP Reporting by Anonymous Coward · · Score: 1

    Wow. The reporting in this is just CRAP. I didn't read the scientific paper but the abstract (summary) and even the anouncement from the MET (both of which u can only find by first browsing to the link in the summary) makes it clear they are talking about CLIMATE not weather. And it's only about 1 major phenomenon that has a heavy influence on UK climate.

    So this isn't about predicting the daily weather but rather general predictions about whether or not there will be general periods of "wet, stormy and warmer" vs "cold and dry". OK that may be helpful from a "general outlook" point of view, and nothing wrong with that.

    It's the reporting on this though that is real CRAP as it makes it sound like the MET is saying they can tell you what the actual daily weather (temp, amount of precip, wind strength and direction etc.) will be.

    Don't blame the MET for this blame the asshole reporter that has no clue about what he/she is writing about or is simply using click-bait reporting techniques to sensationalized the article.

    The Slashdot editors perpetuate this by incorrectly summarizing the "news wothiness" of the article. The news worthiness or "summary" here should have been something like "News article sensationalizes report from the MET on climate predictions. Purposely confuses weather with climate." or some such thing.

    And why even link to the sensationalized article rather than the MET's posted article itself? Just because some idiot Slashdot poster sent the link to the sensationalized reporting? Seriously the MET posted a relevant article summarizing the results of the scientific paper in a manner easily consumable by lay people (eg. you don't need to read the scientific paper in depth to get the gyst of what it says). Summarizing the MET article with a link to it would have been FAR more helpful and correct. It's one thing if the only article "reporting" on the paper appears on some website that did interviews with the scientists and summarized the interviews, it's just "click bait" to link to an article that simply references an actual article posted by the MET and in doing so gets it ENTIRELY wrong. That's not reporting that's sensationalism.

  37. Can I have one please ? by Anonymous Coward · · Score: 0

    Because the local weather guys here can't even reliably predict tomorrows weather.

  38. 62% by Anonymous Coward · · Score: 0

    62% of what? Days when it was "correct". If so, what does "correct" mean? That it rained at 3pm? Between 3pm and 5pm? That there was 10mm of rain in that period? What if there was 10.4mm or 10.6mm?

    1. Re:62% by Fragnet · · Score: 1

      Basically, it's the same forecast you'd get if you sat down with a bunch of weather records and chose the average weather for any given day based on them. i.e. yes, there's a greater chance it'll rain in April than December. 62% is laughable.

  39. Dead Parrot by Anonymous Coward · · Score: 0

    If nothing else, a good demonstration of the popularity of Python when C is overkill

    This is the UK. More like Monty Python.

  40. That's nothing! by Anonymous Coward · · Score: 0

    I can predict TWO years in advance. Example: in 2018 on Xmas, it will rain in Glasgow.

    See there's my prediction. Accurate? Oh that's something else.

  41. If these brokers knew what the fuck... by Anonymous Coward · · Score: 0

    ...they were talking about, they'd simply invest their money and continually grow a fortune instead of taking piecemeal commissions.

  42. Climate, not Weather. by Anonymous Coward · · Score: 0

    Predicting the severity of a given winter is predicting climate. Predicting tomorrow's snowfall is weather. The North Atlantic oscillation which they're predicting is climate, not weather.

  43. Well consider this. by Anonymous Coward · · Score: 0

    My predictions about the weather in Antarctica have been 100% correct.

  44. Operating system and hardware? by khz6955 · · Score: 1

    What was the name of the Operating System and what kind of hardware did this supercomputer run on?

  45. Weather != Climate by TapeCutter · · Score: 2

    And you would know, being so obviously well-informed about weather simulations.

    If the person who wrote the summary knew anything about "weather simulations" they would be aware that climate is not weather!!!

    --
    And did you exchange a walk on part in the war for a lead role in a cage? - Pink Floyd.
    1. Re:Weather != Climate by Anonymous Coward · · Score: 0

      This isn't a standard climate simulation either; it's (relatively) short-term and local, somewhere between "climate" and "weather".

      The original paper is actually an improved simulation of the North Atlantic Oscillation, which "profoundly influences European and North American winter weather".

  46. Accuracy calculation by Anonymous Coward · · Score: 0

    I predict it is 100% inaccurate.

  47. No, it can't. by Fragnet · · Score: 1

    This is just plain bollocks. Its inaccurate forecasting now goes out to a year, whereas before they'd stop the inaccurate forecast after a few weeks. This is simple institutional bullshit publicity campaign to justify the £250,000,000 a year the British government gives this ridiculous organisation.

    1. Re:No, it can't. by UltraBadger · · Score: 0

      Totally agree. They can't usually tell us accurately whether it will rain tomorrow, you might as well toss a coin (or rather, take an umbrella).

  48. At 62 per cent by Anonymous Coward · · Score: 0

    They lose to the Farmer's Almanac.

  49. Finally a sane comment by Anonymous Coward · · Score: 0

    That's a pretty interesting way of contextualising this. I must admit my first reaction to the summary was , hey 12% better than a coin toss, it'll take forever to actually prove that they are not just matching coin toss. But I agree, if I could walk into a casino and play roulette, red vs black, I'd make money very rapidly if I had an edge like that.

    But, that relies on being able to make a large number of plays. They get one play per year.

    ishmaelflood

  50. Miyagi on Latin by Hognoxious · · Score: 1

    62% is not impressive neither per see.

    What have bishops got to do with it?

    --
    Confucius say, "Find worm in apple - bad. Find half a worm - worse."
    1. Re:Miyagi on Latin by Anonymous Coward · · Score: 0

      In the industrial areas they can predict Holy Smoke.

  51. I call Bullshit. by bloodhawk · · Score: 1

    So somehow they are miraculously going from not being able to accurately predict a week in advance to being able to do a year? So how did they solve the current problem that makes it so unpredictable of not having sufficient information points from various areas of the world that severely affect weather long term? Is this super computer an amazing guesser or have they deployed 10's of thousands of weather stations around the world to gather that missing data?

  52. Hooray! by Anonymous Coward · · Score: 0

    Now they can get ahead on being wrong by a year!

  53. 5 years wrong in a row.... by SkunkPussy · · Score: 1

    62% accuracy is only a bit better than a coinflip. you will relatively often see it predict incorrectly 5 years in a row.

    --
    SURELY NOT!!!!!
  54. bollocks by epine · · Score: 1

    Bollocks on their predication rate. Real forecasters report skill. By contrast, actual progress on predicting the North Atlantic Oscillation, perhaps an achievable goal, would be huge.

    Both of these issues are covered in Judith Curry on Climate Change, a podcast from 2013 which, as it happens, I consumed yesterday.

    Concerning the rush to embarrass themselves by reporting their weather prediction rate, it's because of the taxonomic land grab.

    Host: I wonder how you feel about how your particular field has changed as you've grown up in it and been out for 25 years. ... Do you feel that we are making progress in the scientific world on this particular topic? Or are we in trouble?

    Guest: I think we're in big trouble. When I left graduate school, nobody called themselves a climate scientist. They were an atmospheric dynamicist or a geochemist or a physical oceanographer or things like that. And we were all focused on increasing fundamental understanding. And that was the focus. It was the breakthrough in understanding, changing the way people think, was what mattered. And somebody who published too many papers was probably looked at with suspicion--they are doing the quick and easy stuff; they are not really digging in. It was potentially superficial.

    The other thing that was looked down upon, say in the 1980s, was doing something that was too applied, working to deal with regional problems or something like that. That was viewed as soft core; it was what the people did who couldn't really make fundamental contributions to understanding, so they moved on to some of these applied topics, which were useful in some way to regional decision-makers.

    I would say in 2000--it was a gradual transition, but I think circa 2000 there was a switch to people finding it beneficial to self-label them as a climate scientist. There was a lot of money, research dollars in this area; there was a lot of influence to be had, in terms of sitting on panels and boards and committees and being interviewed by journalists and being invited to testify in front of Congress. And so the value and the influence of the scientist sort of switched into that dimension where your measure of influence was not so much how you increased our fundamental understanding of how the oceans worked, but it was really to what boards and committees you sat on, your press, and your influence in policy, being invited to testify in front of Congress, and whatever. So I've seen that switch.

    The problem is, the concern that I have for the health of our field, is that there's still a lot of fundamental things that we don't understand. The climate models aren't good enough. We need to go back to basics, increase our understanding about the non-linear dynamics of all these ocean oscillations and complexity of the system and things like that.

    There are a lot of fundamental things that are getting short shrift, that the sex appeal in our field right now and a lot of funding is to do what I call mock 'climate model taxonomy', where people are analyzing the output of climate models and finding something interesting, alarming, or using them to infer that we won't be able to grow grapes in California in 2100 or something like this. This is the stuff that gets published in Nature and Science and PNAS. People get a press release.

    Note that the word "useful" as I chose to hear it, is entirely confined to the domain of career advancement and the writing of committee-room position papers.

    Two things about Russ.

    One is that he doesn't connect as much as he should. He's (since) done other podcasts which talk about how the regional nature of congressional representation makes politics in America intensely regional. This is

  55. Not correctly, but still! by Anonymous Coward · · Score: 0

    A prediction is a prediction, even if its on gray paper.

  56. Headline is bullshit by ricky-road-flats · · Score: 2

    The headline is completely wrong. They can predict the NAO with much more accuracy, and as that has such a big effect on the winter weather in the UK, that lets them say (with only 62% accuracy) whether it'll be mild winter or a cold one. That's all. They can NOT, of course, predict the weather anything like that in advance. They didn't claim to, either - lazy new editors and "journalists" have mangled it into the bullshit we read here.

  57. It's an anonymous source. by Anonymous Coward · · Score: 0

    Find out of the Met Office officially claimed it before you start whining that the Met Office or their employees are lying sacks of crap, OK?

  58. And by "many" you mean "one" by Anonymous Coward · · Score: 0

    And that "one" is one that was not the consensus prediction and the actual text of the prediction contained many counterfactors that they predicted would invalidate the outcome if they changed (and they did change).

    Meanwhile, how well have your fellow "skeptics" predictions panned out???

  59. I too am above 50% by Herve5 · · Score: 1

    Michel, if you are disappointed then try my own algorithm : "weather tomorrow will be the same as today" -I guarantee the accuracy is higher than 50%.
    We are running just behind them indeed -maybe they have a similar predictor!

    --
    Herve S.
  60. Predicting winter isn't that hard. by nachtelfjeiu · · Score: 1

    Since the Brexit that's easy. Winter is coming, UK.

  61. What About Tomorrow? by Anonymous Coward · · Score: 0

    That's great they can predict weather a year out, but I doubt I'll remember the forecasts in a year. When will they be able to predict tomorrow's weather?