Sentences with phrase «weather models predict»

Road weather models predict the future road conditions, like road surface temperature and the slipperiness of the road.

Dr Hough hopes to see the day when geophysical models can predict underground phenomena as accurately as weather models predict rainfall.

Officials with the National Oceanic and Atmospheric Administration say their weather models predict the severe drought that has parched the southern United States will continue to midsummer — and beyond.

And sure enough, even the short - term weather models predicted an easy mild winter — except for a small group of scientists who are not watching for El Nino, or La Nina for answers.

Not exact matches

We've analyzed over ten years of public betting percentages, betting volume, steam moves, injury news and weather updates to develop a model that has been very accurate in predicting upcoming line moves.

Armed with their model, the researchers want to identify and understand deficiencies in state - of - the - art numerical weather models that prevent them from predicting weather on these subseasonal time scales.

Benjamin «Benjy» Firester, 18, of New York City, won the top award of $ 250,000 for developing a mathematical model that uses disease data to predict how weather patterns could spread spores of late blight fungus, which caused the Irish Potato Famine.

Working has greatly slowed down my progress as well: I'm currently working for the National Oceanic and Atmospheric Administration as part of a team trying to predict snowfall rates from satellite and weather forecast model data.

When the weather - based model developed at Rothamsted Research was used to predict how climate change may affect the wheat crops, it was predicted that wheat flowering dates will generally be earlier and the incidence of the ear blight disease on the wheat crops will substantially increase.

This weather - based model was then used to predict the impact on severity of the disease of future weather scenarios for the period from 2020 to 2050.

If an extreme weather event occurs, researchers can look to see if the models predicted it.

Doug Smith at the UK Met Office fed key data such as ocean temperatures, air pressure and wind speeds for every year from 1960 to 1995 into DePreSys, a model already used to predict weather a decade ahead.

This finding was reinforced by computer models of the general circulation of the atmosphere, the fruit of a long effort to learn how to predict (and perhaps even deliberately change) the weather.

«For the first time, space weather forecasters now have models and tools for predicting how a CME is released from the sun, accelerated out into the solar wind, and ultimately ends up colliding with Earth's magnetosphere creating the geomagnetic storms that impact so many technologies and systems,» says Rodney Viereck of the National Oceanic and Atmospheric Administration's (NOAA) Space Environment Center.

Taking a cue from weather forecasters, researchers combine satellite measurements and models in attempt to predict volcanic activity

Scientists conducted 1,000 model simulations using future weather variables to predict future reproductive parameters for this species.

One aspect that was not incorporated into this modeling is predicted future frequencies of extreme weather events.

Computer - generated models are essential for or scientists to predict the nature and magnitude of weather systems, including their changes and patterns.

And again, does Freeman Dyson, assuming he is willing to get on an airplane even though models have been used to test the performance of the airplane, assuming he does and he knows he's going somewhere where they've predicted, where weather models have predicted rainfall for the next seven days, does he not pack his umbrella because he doesn't believe the models?

Forecasting — uses weather models (i.e., Doppler radar) to predict wind speeds and patterns at various altitudes.

EWeLiNE combines these data with other atmospheric observations — from ground - based weather stations, radar and satellites — and sophisticated computer models predict power generation over the next 48 hours or so.

«Massive data analysis shows what drives the spread of flu in the US: Models built with data from health claims, weather, geography and Twitter predict how the flu spreads from the south and southeastern coast.»

To predict hail storms, or weather in general, scientists have developed mathematically based physics models of the atmosphere and the complex processes within, and computer codes that represent these physical processes on a grid consisting of millions of points.

«We don't trust climate models yet to predict specific episodes of extreme weather because the models are too coarse,» said study co-author Dim Coumou of PIK.

Benjy Firester, 18, of New York City, won the top award of $ 250,000 for his development of a mathematical model which predicts how disease data and weather patterns could spread spores of the «late blight» fungus that caused the Irish Potato Famine and still causes billions of dollars in crop damages annually.

Models that predict weather and climate don't reconstruct the lives of clouds well, especially storm clouds.

In addition, atmospheric scientist Dr. Hendrik Tennekes, a scientific pioneer in the development of numerical weather prediction and former director of research at The Netherlands» Royal National Meteorological Institute, recently compared scientists who promote computer models predicting future climate doom to unlicensed «software engineers.»

Employs the use of climate models to better understand the dynamics of climate systems and weather and to predict future climate.

The models that were used in the National Ignition Campaign are essentially the same, at their guts, as the models we're using now — but in that case there was an extrapolation using the model that went too far, like a weatherman's model trying to predict the weather six months from now rather than just next week.

Using sophisticated models of weather and human movement patterns, the analysis predicts the worm's entry later this year, accomplished either by its independent migration or as it hitches rides along trade routes.

Visitors to the site can learn about a new model for predicting seasonal weather.

Traditionally, weather models have used theoretical principles from meteorology to build top - down models to predict what will happen in the future (e.g., when storms will happen and their severity).

The Model S can also better estimate available range by searching for location - based windspeed and weather to more accurately predict the car's remaining battery life.

The empirical relationships developed by Cohen and colleagues do a far superior job than current dynamical models in predicting recent wintertime weather.

First, the fact that we Earth has previously experienced floods, severe weather and droughts in the past does not negate the dangers these events pose, nor the increased damages that will result from increasing frequency of these events predicted by climate models.

I know climate models do not predict weather as such, but do any major models predict greater variability in weather due to climate change?

We can model natural variability in summer weather without being able to predict exactly where summer of 2011 will fall within that range.

Nearly invariably they are quickly revealed as being on scene purely to grind away at the particular topic du jour they've been fed elsewhere, be it the eldritch but still occasionally visible «we can't even predict the weather so how can we model climate» to the more recent «cosmic rays are overwhelming CO2» canard.

Climate models should also be inputed with 100 year old archived weather data to start them up, after a couple of runs, lets see if they can predict contemporaneous climate stats.

The working hypothesis is that even if the climate system may have the possibility of long - term chaos, it is nonetheless more like William's example of what happens when you change a parameter of the Lorentz model, than it is like the problem of predicting a single day's weather a year ahead.

It's just that the noise within the models is not correlated in time with the real noise; getting that right would be like predicting the weather several years out.

(1) In this case even if they were correct and the models failed to predict or match reality (which, acc to this post has not been adequately established, bec we're still in overlapping data and model confidence intervals), it could just as well mean that AGW stands and the modelers have failed to include some less well understood or unquantifiable earth system variable into the models, or there are other unknowns within our weather / climate / earth systems, or some noise or choas or catastrophe (whose equation has not been found yet) thing.

«These models can not even predict the weather in two weeks time — why should we believe what they say about temperatures in two months?»

There are also locations — notably the in the Polar regions and over Africa — where ground - based measurements are sparse, and where much is left for the weather models to predict without observational constraints.

When the weathermen can't accurately predict the weather out more than a few days at best, why should anyone believe that global warming models going out even several decades are reliable?

Also, I'd think modeling storm size would be easier than storm intensity for the same reasons predicting average global temperature is easier to predict than next week's weather.

Of course, there are some differences — the butterfly effect has a basis in physical reality, so as our understanding of physical processes and the ability to mathematically model them improves, so will our ability to bridge the gap between predicting weather and climate.

Also, I reminded at how willing you were to give up your civil liberties based on the computer models that didn't do so well at predicting the weather next week.

That is certainly true now, because we are using weather models to try to predict climate.

The real test of a real climate model will be whether it can predict the weather next week.