Statistical Accuracy of Internet Weather Forecasts 189
markmcb writes "Brandon Hansen considers the statistical accuracy of popular on-line weather forecast sources and shows who's on target, and on who you probably shouldn't rely. Motivated by a trip to a water park that was spoiled with hail despite a 'clear sky' forecast, he does a nice job of depicting deviations, averages, and overall accuracy in a manner that stats junkies are sure to love."
The more the merrier? (Score:5, Interesting)
I can't help but smile a bit that MSN weather in this test turns out to be the absolutely worst when it comes to accuracy in almost all categories.
I would think there is a lot of difference on how the forecasts are made in the different channels, some of them probably do get a lot of their information from meteorologist working on their own stations. I wouldn't wonder if MSN doesn't have a meteorologist (or maybe only one) working to provide their forecasts.
Computers and simulations play a big role in predicting the weather today, but human eyes are worth a lot still.
I don't myself live in the USA, so my primary use of these are to check on when there is severe weather in areas where I know someone.
I have gotten used to check on weather underground for this information, I haven't checked on many other weather channel, but I feel quite well capable of following what is going on in the USA with tornadoes and such here from Denmark.
For a long time we only had one weather forecast service here in Denmark, a national institute. Since a primarily private TV station (TV2) a few years ago started their own weather forecast service, I really feel the national institute have been pulling themselves together and have provided many services that they didn't provide until now. So even though some of the services provides terrible accuracy they might still serve a good purpose in giving the other services competition and thereby forcing them to improve also.
When I am really dependent on the forecast I tend to study the information behind the simple prediction of the given weather, that way I am also much better prepared for possible scenarios, knowing which front move where and can better "read the skies".
Re:The more the merrier? (Score:5, Interesting)
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Re:The more the merrier? (Score:4, Informative)
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Just a note, MSN doesn't have any meteorologists on staff. The weather forecasts at weather.msn.com are provided by The Weather Channel [microsoft.com].
-AceNice work? huh? (Score:3, Insightful)
Not to mention, the guy's
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Living in Houston as the author of the study does, I can tell you that rain can be rather spotty. There are many times when I've been off and stayed home all day and saw no rain, while my wife, who works about a 15 minute drive away saw torrential downpours. Some areas get rain, others don't. Seems to be the same for other parts of Texas too. Trying to do a rain analysis in Houston would b
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Actually, checking arrival and departures does help estimate if your luggage will arrive with you.
If you get off flight 1 with 5 minutes to get to flight 2, your bags may not be unloaded from flight 1 until flight 2 is already on the runway.
Been there, done that, got my luggage the next day.
But, I agree, he's looking in the wrong place. I can imagine it would be a bit tricky to calculate if rain estimations are right. If they gave a 10% chance
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For what it's worth, the ECMWF model tends to be good for about another 24 hrs beyo
NOAA/NWS (Score:5, Interesting)
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Anyway, I'm surprised this is the first time I've seen (would've seen if the site weren't 'dotted) forecast accuracy data. With everyone claiming their weather is the most accurate, you'd t
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Re:NOAA/NWS (Score:4, Informative)
Amen to that. NWS is one example where a government funded program actuallly WORKS. Clean, simple, Flash-free. It's been reliable enough for me. I was able to successfully plan for an outside project almost a week in advance with their long-range forecasts. You have to learn how to use these things a bit, based on your area. For example, here in DC during Summer, it may or may not rain in the afternoon, and nobody can predict if it will actually rain on a particular spot. That's because most of the rain comes from brief thunderstorms that pop up. In winter, they can tell you if a snowstorm will be nearby, but not if it will actually snow or how much. OTOH, sunny vs. rainy and general temperature predictions work pretty well. As an experienced user, I've learned to recognize which types of weather systems are predictable, and which aren't (e.g., Alberta Clipper -- easily predictable temperature drop vs. Gulf low snowstorm--extremely difficult to get the snow total in advance). Other areas have their own peculiarities too I'm sure.
Senator wanted to halt NWS website. (Score:2, Informative)
FWIW, former senator Rick Santorum (R-Pa) was gunning to prohibit the NWS from providing forecast information directly to the public. Why? AccuWeather, a Pennsylvania-based company was lobbying him to do so on the basis that the government should not be undermining private corporations business interest. In other words, Accuweather wanted to continue to sell their forecast products without the free competition from the NWS forecast products.
As someone who relies upon information from the NWS, I'm g
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You've gotta be trolling, but even still, that statement is moronic. Santorum wasn't trying to abolish NWS, he was trying to make it easier to AccuWeather to sell us what we have already paid for. That's the worst of both worlds right there.
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It's not further than what Santorum wants, it's something completely different! Santorum is just trying to help AccuWeather profit. I definitely didn't see anything about him making AccuWeather rely only on their own satellites rather than government satellites.
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Of course it was, that was sort of my point. I'm sure he wasn't doing it out of the goodness of his heart. They promise support and contributions and he helps them get rid of an obstacle to higher profits for them. Win-win for them, big loss for the public.
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You must be new here. We all live in our parents' *windowless* basement and drink copious quantities of mountain dew
while playing WOW for 4 days at a stretch.
Summary (Score:2)
What is your source? (Score:5, Informative)
One thing that struck me is the 'abnormal diversity' of weather information sources. In Canada, weather models are computed in one place, a ~1000 processors computer in a basement which does only one thing: forecasting weather (the constant real-world observations that are ingested are used to adjust the models). Only one 'real' source (of course, there's the american, british, french, etc. official forecasting models to which we compare 'scores' on a daily basis). However, there's plenty of other canadian websites which will give you weather forecasts (one example [meteomedia.com]). From what I know, these "other websites" have a significantly smaller workforce of meteorologists to interpret the models results than the Meteorological Service of Canada [ec.gc.ca] (the CMC is part of the MSC). That's why I would favor the 'original' source instead of a 'second-hand' source. I must however admit, commercial online sources of weather forecasting sometimes offer value-added products, such as the number of ski trails opened, offer general weather information capsules, etc.
And by the way, the official Environment Canada weather website [ec.gc.ca] is the most visited website in Canada (or at least, that's what they tell us, the employees!
Additional comments... (Score:2)
We must not forget online forecasting websites often offer a trend for a whole day, but (in Canada's weather office case, see parent) it is worthed to read the accompanying text to know how the weather will evolve throughout the day. If you need close to real-time observations, use
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Source Integrity (Score:4, Informative)
One reason for countries to maintain their own weather forecast agency is to ensure the integrity of the data. This ensures that a country isn't receiving tainted data, or denied data. Models could be skewed to favor accuracy in one country over another, giving that country agricultural and energy trading competitive advantages. During many conflicts, countries where the conflicts occur cease dissemination of weather data so that the opposing force can't use the data. The US DoD maintains its own weather forecasting computers to ensure that access can't be denied, even if there is an NWS outage. If a country maintains its own systems, data integrity isn't in question.
A reason to use multiple models is that each model has different strengths. One model may tend toward forecasting precipitation over the midwest more often than it is likely to occur, and another may tend to forecast precipitation less often then actual. By using both models, we can get a better idea of the actual weather. In this case, if both forecast dry, it would likely be dry, and if both forecast precipitation, we would expect precipitation, and if they split, the forecasters would have to go back to old time forecasting techniques and get the coin and dartboard out. (Just kidding about the coin and dartboard. They'd really have to unfold their broaches, hats, and Pterodactyls, and start using the charts for what they were intended.)
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Read my other comment [slashdot.org]. There are several reasons. One is that models runs at higher resolutions for specific regions. i.e. Canada runs higher resolution models over Canada, a thing which, obviously, France or Britain won't do. There are also numerous products (e.g. marine, aviation, emergencies, etc.) which are more or less region-specific (or that no one wants to produce for the whole world).
There are countries, Australia is an example, which decided to p
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-Mark Twain
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By looking at the rate of barometric pressure drop and the rise in humidity and wind changes I can tell you within a 1/2 hour when it will rain or storm and typically how badly.
What blows my mind is why does the National weather service not install a crap load of cellular connec
Re:What is your source? (Score:4, Funny)
If you wouldn't mind going into a bit more depth I'd love to hear the details of how you knock up these forecasts, at the moment I can only predict the weather for definite maybe 20 - 25 minutes ( using basic optical observations ) in advance and I'd love to shave off those extra 5 minutes but I wonder if it's worth the cost of investing in something like a PC. I've seen portable weather stations you can install in your living room from hippy shops, do you think these would be suitable ?
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Lack of an unlimited budget?
Who knows what they'll be able to accomplish now that Rick Santorum isn't around to try to prevent them from competing with PA-Based Accuweather anymore, though?
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That's really neat around Los Angeles, especially in the hills. Someone had a PWS only a few miles from my house, so it gave me great results. The closest "official" weather station was 10 miles to my west, and 1500 feet below me. Temperature, wind, and even humidity were always wrong from the "offical" site.
Eventually, I plan on putting up a PWS. Who knows when though.
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For a given isolated point (your house/apartment) and given sufficient experience (you've lived there for a couple of years watching the weather as an avocation) it's probable that you can predict for that site better than the Nati
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You don't need to be lacking the radar.
You'd have to google around for the page, but I had seen a site, where a guy had taken a naval weather radar unit, that he had picked up surplus, mounted the antenna on his roof, and attached the rest to his computer.
But, you can grab weather radar images from a whole slew of sites, and use only what's specific to you. While your instrumentation can see YOUR location, and your own radar could see 15 miles or so, using ot
Re:Just a suggestion... (Score:3, Funny)
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Reliable forcasting method... (Score:5, Interesting)
Re:Reliable forcasting method... (Score:4, Informative)
Persistence is the yardstick all forecasters use to determine if they should find another line of work (or be asked to do so by others). If you can't demonstrate an understanding of the processes and data such that extend beyond the data source everyone else has (ie., the weather their experiencing), it's just snake oil.
(IAAM)
Re:Reliable forcasting method... (Score:5, Informative)
On any significant sample, weather reports were never worse than this.
Currently, models are able to make 85% or a little more accuracy.
This may sound paltry, but where this really works out is in longer term forecasts. At 75% you are probably wrong at 3 days forecast. Even if you take the assumption that forecasts are independent from day to day, 85% means you are probablt wrong after 5 days.
The extra two days you can predict for is what the money is going towards.
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Won't this depend where in the world you are? E.g. in desert areas most days are likely to be hot and sunny. Here in England, we consider stable weather for 10 minutes to be persistent.
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> we consider stable weather for 10 minutes to be persistent
Making a forecast of "it will be variable" almost 100% reliable, and a forecast of "it will be variable in the same sort of ways as today" about, oh, 75% reliable?
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What I care about (for lack of a better term) is the weather delt
Counter example (Score:2)
In Winnipeg (which I just moved away from a couple months ago) can have violently different weather day to day and even sometimes within the same day. It as explained to me as: there are different "spheres of influence" when it comes to weather patterns and Winnipeg sits on the boarder of two of them. Knowing that weather is never stable means that this "line" constantly moves, sometimes quickly. Thus, the violent weather patterns.
In fact, in Southern
rain? (Score:3, Interesting)
Re:rain? (Score:4, Interesting)
It'd be even trickier in, say, the SF Bay Area, where it only rains for two or three months a year, and then almost every day. Your 0% and 80-100% groups would be well-stocked, but not so much the other ones.
20% Chance of Rain (Score:2)
The forecasters here are also fans of synonymous statements. Check out this week's forecast:
Fri: Mostly cloudy with a chance of rain
Sat: Showers likely
Sun: Occasional Showers
Mon: Rain and scattered sunbreaks
Tue: Scattered showers
Wed: Possible morning mist followed by afternoon drizzle
Th
I want one of these for stock analysts. (Score:2, Interesting)
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Statistics don't lie Statisticians do! (Score:5, Informative)
The National Weather Service collects all the weather data used by forecasters, they also provide the 1st forecast. AccuWeather and others take the National Weather Service forecast then watch the new data (using National Weather Service provided data) to offer a refined forecast a few hours latter. Who do you think is going to be the most accurate the guy who provides the first forecast or the guy who waits for more data and then refines the for cast? AccuWeather's has statistics that show they are more accurate then the National Weather Service but if you used the AccuWeather forecast then waited for the next National Weather Service update I bet National Weather Service would be more accurate.
I am surprised that this guy used the weather.com and not the National Weather Service for the actually temp for all his calculations. (It doesn't matter b/c I am sure weather.com is right from National Weather Service data). He did point out that AccuWeather is the only one who provides forecasts > 10 days in advance.
My preference for weather forecasts is:
National Weather Service
AccuWeather (easy to understand graphics and 2 week forecasts)
The Weather Underground (Years ago they were the1st to provided free access to hurricane computer models)
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He must have missed Australian seasonal outlooks [bom.gov.au].
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Re:Statistics don't lie Statisticians do! (Score:5, Insightful)
Can we believe the forecasts? (Score:4, Insightful)
However, the last cold blast that came through Memphis was forcast almost a week ahead of time. Weather radar of the middle part of the country showed about 90% clear of storms. So, I had a hard time with that one.
To my surprise (and right on time), down came the blast of cold air. Soon after was the promised snow/ice.
It still seems like an inexact science... with a touch of art and a pinch of luck thrown in for good measure.
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I remember when a year and a half ago one of the hurricanes was in the Gulf of Mexico, heading almost straight west, and the meteorologists all insisted that the hurricane would make a complete 180 degree turn and head back east and smack into Florida. I didn't believe them. On more than one occasion I publicly stated that this was ridiculous.
I ate a lot of canned food that week.
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I ate a lot of canned food that week.
And learned a valuable lesson about the relative merits of the consensus opinion of many scientists using multi-million dollar supercomputers, and one layperson's hunch.
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Of course, if a rain zone develops right above your head you're out of luck. But most of the time, when it rains it's just an active rain zone passing over your head.
If you live in the Benelux, chek out http://www.buienradar.nl/ [buienradar.nl]. It'
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Re:Can we believe the forecasts? (Score:5, Insightful)
And anyone whose understanding of correlation goes beyond "an introductory logic class" knows that in fact, as long as you're very careful about what you're doing, you can in fact very often use observed correlations to make valid predictions.
There's this whole field of study called "statistics," see. Not the "X% of people surveyed believe Y" type of thing you hear on the news, but an actual science, grounded in rigorous mathematical theory and growing more sophisticated all the time at producing useful knowledge from mountains of data. People get PhD's in it and stuff. Really. Maybe you ought to read about it some time. Maybe even take a class.
Or perhaps you'd rather remain secure in your prejudices, repeating "correlation does not equal causation" like a mantra, snickering at people whose knowledge you choose not to understand.
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Or perhaps you'd rather remain secure in your prejudices, repeating "correlation does not equal causation" like a mantra, snickering at people whose knowledge you choose not to understand.
But he's right - correlation does not prove causation. Phenomenon Y can correlate to phenomenon X with r=0.99, and that still doesn't mean that X causes Y. Both X and Y might be caused by W, and therefore they always appear together. That's not to say that one phenomenon might not be a good predictor of another
Free forecast (Score:3, Insightful)
Whom (Score:5, Funny)
--
Solar follows the rules for grammer. http://mdsolar.blogspot.com/2007/01/slashdot-user
Re:Whom (Score:4, Informative)
-- Winston Churchill, on the practice of rearranging sentences to make sure they don't end in a preposition.
It is interesting to note the origin of such practices. Nothing in English forbids ending with a proposition. In Victorian England, the educated middle classes invented grammatical shibboleths [wikipedia.org] to differentiate themselves from the uneducated lower classes. To do so, they took rules from Latin that had never before applied to English.
Rules such as this one and not splitting an infinitive were not originally part of the English language. They were invented for elitist reasons. People who insist on them should in their nuts be kicked.
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Interpretation of the models is everything (Score:5, Interesting)
Generally the competing weather models will show a range of possible outcomes with various probabilities. You can average across all scenarios and come up with a 60% probability of rain, but the more days out you go more the scenarios diverge, so the less useful a single average will be.
Most people would not find it useful to hear that "there will be probably be thunder on Wednesday if it remains hot enough, but if it cools down on Tuesday then the thunderstorm will be off to the north somewhere"
Additionally, a lot of weather conditions are influenced by thin layers of cloud high up, so thin that precise measurements are critical so precise forecasts in one location more than 3 days out are difficult.
Possibly the best slashdotted error message ever. (Score:4, Funny)
Best 500 error I've ever seen. (Although I'm not sure it actually sent a 500.)
YIC! (Score:2, Funny)
PHEW! (Score:2)
Eh, at least they get the Moon phases right
slashdotted! (Score:2, Informative)
You can't fool mother nature (Score:4, Funny)
/wrong metasite
//slashies
//dont' kill me
Who cares about temp? Is it gonna rain? (Score:2, Insightful)
I did this in 8th grade. (Score:2)
My experience with the BBC weather forecast... (Score:3, Interesting)
http://www.bbc.co.uk/weather/24hr.shtml?world=4
Similarly, that site predicted that the snow would drop off by noon, and turn to sleet or rain by 1600. Again, this prediction came true, within an hour of the predicted time.
Generally speaking I find the BBC weather site to be accurate significantly more often than not (guesstimate 80% accuracy) with the 24 hour forecast being almost universally correct, and the 5 day forecast being the least reliable. (as expected)
This is a FAR cry from the weather predictions when I was a lad. Then the weather forecast on TV was simply a way to poke fun at the meteorologist, who clearly was doing the best he could, but invariably got it wrong.
Obligatory Stats Joke (Score:4, Funny)
Nice article but the sample only uses an 'n' of 14 days. I would have more confidence in the means, standard deviations and correlations if the author had used a bigger 'n'. For in stats, as in ethics, the n's do justify the means.
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We got global warming down, why not the short term (Score:3, Insightful)
Re:We got global warming down, why not the short t (Score:2)
The answer is very simple. Because weather != climate. Climate is a statistical average over long periods of time and large geographical areas. (And we don't know with absolute certainty, in any case. Everything has to be qualified with error bounds, which is very obvious, really, because much of what will happen is dependent on what we will do in response to predictions.) Weather is localised temporary fluctuations in phenomena.
It's like saying that we can pretty much gu
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It's the same reason why you can't predict what you might win if you play a slot machine for an hour, whereas the casino can predict the annual profits from its slot machines to a high degree of accuracy.
Re:We got global warming down, why not the short t (Score:2)
Since we can predict with absolute certainty what the weather of the Earth is going to be 100 years from now (latest IPCC report), why can't we accurately predict the weather 10 days from now? Unless maybe we can't predict the weather 100 years from now. Hmmm.
You're confusing climate and weather. I can tell you from my observations of the climate that it will be hot and sunny in Sacramento on July 18 2007, but I can't tell you if it will be 90 or 115. Climate prediction is about determining the range
I predict... (Score:2, Funny)
very stormy weather for the poor website linked to in the TFA. I believe the outlook will be dark, followed by intense periods of slashdotting...
Large metro areas (Score:4, Informative)
Too long ago, when I was an undergraduate taking Meteorology, we visited the weather department in a Twin Cities (MN) television station. The anchor on duty was pretty blunt: if there's a 100% chance of rain on one end of town and a 10% chance on the other end, the broadcast would distill that as a 55% chance of rain. He argued that it was the best his department could offer given the commercial realities of limited airtime and the mandate to serve the entire metro area.
ForecastWatch and ForecastAdvisor (Score:3, Interesting)
I was quite curious about weather forecast accuracy as well. So three years ago I started collecting weather forecasts from the primary providers (Accuweather, Weather Channel, NWS, CustomWeather, Intellicast, etc.) and comparing them to actual observations. It's tougher than you might imagine, and there are a lot of factors that need to go into creating usable verification statistics.
I have a public site with some statistics for about 800 locations in the US available at ForecastAdvisor.com [forecastadvisor.com]. There is also a blog with more in depth analysis (like how do temperature forecasts fare relative to how deviant the actual temperature is [forecastadvisor.com]...in other words how well do forecasts do the further away from normal the actual is, and how to forecasts fare the further out they forecast for [forecastadvisor.com], and how does forecast accuracy compare over time [forecastadvisor.com].).
ForecastWatch.com [forecastwatch.com] is used by meteorologists and professionals. Accuweather, The Weather Channel, and several private meteorological companies use this system to help them understand and improve their weather forecasts.
And a geek note: ForecastWatch.com [forecastwatch.com] runs on Quixote (a Python web framework), while ForecastAdvisor.com [forecastadvisor.com] runs on Ruby on Rails. The back-end forecast and actual collection, and calculations are Python with a MySQL database. Both sites are close to migrating to Django, a new Python web framework and ORM.
-Ace
Why not just go to the source? (Score:2)
Interesting - but are they better than dice? (Score:2)
Take the 5 day temp forecast from a national weather site (NWS/weather.com, etc) and write the high / lows on one row.
Then, flip a coin and roll a single die.
Start with yesterday's high and low.
If you toss "heads" then add the number rolled on the die to the high temp for that day. If you toss "tai
Why trust the intertubes? (Score:2, Interesting)
Interesting Report (Score:2)
Weather guessers here are rarely, if ever accurate as the mountains and Palmer Ridge play havoc with the weather. This caused me t
KNMI. (Score:2)
They predicted a snow-storm for yesterday. Enough snow to completely disrupt the whole country. Weather-alarm!!!
The only thing that happened is that they scared a lot of people into staying at home, or go home early. The evening rush hour therfore had a max total traffic jam of only 12km. Instead of the normal 250km!
Oh, and indeed streets were white for a couple of
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I believe it was a DC forecaster who once said "I just shoveled 8 inches of partly cloudy off of my driveway" after missing the forecast the day before. It pays to have a sense of humor when you're in the meteorology business.
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"[The article] shows who's on target, and who(m) you probably shouldn't rely on asshole
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