Sentences with phrase «better weather predictions»

If we could do this, this could help meteorologists to make dramatically better weather predictions.

Not exact matches

In some other races as well, political forecasting has been as reliable as weather predictions.

These far - flung, interconnected weather processes are crucial to making better, longer - term weather predictions than are currently possible.

The discovery of a separate but hard - to - spot weather pattern could help give better storm predictions.

The Storm Prediction Center is responsible for forecasting (identifying, describing, and quantifying) the risk of severe weather caused by severe convective storms (specifically, those producing tornadoes, hail 3/4» or larger, and winds 58 MPH or greater), as well as winter and fire weather.

The gamers were notably better in combining the cue cards with the weather predictions than the control group.

Both teams did the so - called weather prediction task, a well - established test to investigate the learning of probabilities.

Performing experimental weather forecasts using the Stampede supercomputer at the Texas Advanced Computing Center, researchers have gained a better understanding of the conditions that cause severe hail to form, and are producing predictions with far greater accuracy than those currently used operationally.

Armed with that swelling ocean of information, nav systems are getting better at guessing at traffic - beating routes, sometimes also taking into account sporting events, weather predictions, parades, construction, and school vacations.

When compared to standard weather prediction modeling, Roebber's evolutionary methodology performs particularly well on longer - range forecasts and extreme events, when an accurate forecast is needed the most.

Researchers used a popular weather model to gauge the wind for better predictions of its clean energy

While it is unclear how those factors might shift as the season progresses, the wetter California weather is favored to hold for the next few weeks — as well as the season as a whole — because of El Niño's influence, Mike Halpert, deputy director of NOAA's Climate Prediction Center, said in an email.

1967 The International Global Atmospheric Research Program is established, mainly to gather data for better short - range weather prediction, but climate research is included.

This is quite subtle though — weather forecast models obviously do better if they have initial conditions that are closer to the observations, and one might argue that for particular climate model predictions that are strongly dependent on the base climatology (such as for Arctic sea ice) tuning to the climatology will be worthwhile.

Thus for weather forecasts, a prediction is described as skillful if it works better than just assuming that each day is the same as the last («persistence»).

Specific examples of additional impacts include a reduction in capital equipment acquisitions across the entire lab with computing alone sliding from $ 7 million to $ 3 million, the elimination of NCAR's lidar research facility as well as the extra-solar planet program, delays in computer modeling and prediction efforts for both weather and climate, reductions in the solar coronal observing program, a reduction in the number of post doctoral appointments, reduction of the societal impacts program, and widespread deferred maintenance and delays in equipment and instrument acquisition and replacement.

Re # 104 — «Well, weather prediction is much less certain than climate prediction, since even small «butterflies beating their wings in South America» can effect change in short - term atmospheric processes.»

Unlike weather, the if we know the physics, know the inputs and their influences, it seems that we can make pretty good predictions, as has already been fairly well demonstrated (albeit not absolutely conclusively).

Well, weather prediction is much less certain than climate prediction, since even small «butterflies beating their wings in South America» can effect change in short - term atmospheric processes.

So in a way, if adding in GHGs helps in weather prediction, one negative outcome would be that weathermen will be able to say, ``... as predicted...,» giving viewers a false sense that everything is normal & under control & GW is not happening, since I doubt they will mention that GHGs were used to help them make such good predictions.

These results are driven by best - in - class analytics coupled with our proprietary, hyper - local and energy - specific weather service (Nostradamus), that delivers 10 - minute interval weather predictions up to 96 hours in advance at each solar park location and each wind turbine location and hub height.

For Tacoli (2009) the current alarmist predictions of massive flows of so - called «environmental refugees» or «environmental migrants», are not supported by past experiences of responses to droughts and extreme weather events and predictions for future migration flows are tentative at best.

Weather prediction depends upon a solid initial condition, and given accurate observations, we are quite good at predicting weather out for several days.

As far as weather (and hence climate) predictions are concerned, it is difficult to achieve better results than the persistence prediction in the short term

Luke, What does getting good weather info have to do with wrecking economies over climate predictions?

'' Moreover, recent conditions are entirely consistent with the best scientific predictions: as the world warms so the weather becomes wilder [no evidence — Ed], with big consequences for people's health and well - being.»

I come from a place with a long history of nutty sunspot - based weather prediction, so I'm well aware of the pitfalls.

We believe that more accurate and reliable weather predictions will be of tremendous benefit to society, in everything from people being able to make better day - to - day plans to improved agricultural planning to being better able to predict and cope with extreme weather disasters.

Improved understanding of regional weather systems and better predictions have obvious benefits.

As these models through research and development, become more skilled at higher and higher resolution and gain the capability of replicating increasingly complex weather phenomena, the public, through the predictions of the National Weather Service, will be better served through more precise weather predictions for places and times where you are.

It does apply to climate predictions as well as long term weather predictions.

In the context of weather prediction, the generic property of sensitive dependence is well understood (4, 5).

Short term weather prediction is actually pretty good.

Efforts by the global numerical weather prediction centers to produce global reanalyses such as the European Copernicus effort is probably the best way forward for the most recent decades.

The problem is that the climate scientists need to establish that (climate predictions are much better than weather predictions) with verifiable predictions, before we the public can be asked to take that for granted.

Now; there were other scientist whom were involved in the study of the climate (weather, space, oceans, sun, etc, etc.) and articles written in science magazines as well, that were hinting at a return to an ice age... predictions if you will.

I have a justified suspicion given the weather predictions are often a flip of the coin, even while it is claimed that climate predictions are much better than weather predictions.

Do you at least agree that the better analogy for climate prediction is seasonal change than weather patterns?

She says improved summer weather predictions as well as satellite measurements of sea ice thickness and concentration could help forecasting.

Richard has taken hold of the lunar nodal cycle in developing weather predictions that years ahead of time work apparently just as well as the normal forecasts made just days ahead.

Researchers used a popular weather model to gauge the wind for better predictions of its clean energy power.

1967 International Global Atmospheric Research Program established, mainly to gather data for better short - range weather prediction, but including climate.

While weather predictions and long - term climate are very complex and beyond the author's expertise, he feels the single issue of heat absorption and radiation due to carbon dioxide is much simpler, well understood, and better modeled and measured as proposed here.

While the things you point to are interesting, and show that good work is done in weather prediction, it does not resemble any sort of formal V&V.

I had plenty of reading material, knew better than to book an appointment the day I was traveling in, and happen to be fascinated by weather (I knew we'd be delayed because I was watching NOAA's Storm Prediction Center's weather reports.)