Sentences with phrase «as weather prediction»

We use other supercomputers to attack such complex issues such as weather prediction and nuclear reactions.

Herve (405) writes then: «In my opinion, IPCC simulations should never become a routine activity (as weather prediction has)...»

In my opinion, IPCC simulations should never become a routine activity (as weather prediction has) because every 5 years we basically achieve the same «prediction», but with a shorter lead - time.

Re # 64: Ray Ladbury, The type of prediction being tried in the new paper is certainly an initial values problem, much the same as weather prediction.

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

Economic predictions, it should be noted, are just as vulnerable to time as weather predictions.

Not exact matches

This could be largely due to the weather predictions, as meteorologists are expecting wind speeds of 15 miles per hour.

«Current long term predictions indicate that these extreme weather variations will continue and situations such as the current flood events, and disruption caused, underline how adequate maintenance and funding of the network must be a fundamental part of UK transport policy.

Predictions that the numbers would drop off as the weather got worse and the seas became colder and rougher have, sadly, been proved wrong.

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 IPCC report does suggest that extreme weather events should be expected as the world warms but the prediction is couched in cautious terms and the risk is assessed as «medium» confidence.

The method combines a model for systems such as weather or climate with real - world data points to develop predictions about the future.

Gabriel Vecchi, head of the climate variations and predictability group at NOAA's Geophysical Fluid Dynamics Lab and another author on the paper, says decades of weather prediction data show that forecasts have improved — and will improve — as scientists learn more about hurricanes.

Artificial intelligence, which emulates the information processing function of the brain that can quickly execute complex and complicated tasks such as image recognition and weather prediction, has attracted growing attention and has already been partly put to practical use.

«But supposing Congress did pass his budget as - is, yes, it would be devastating to weather prediction across the board, including hurricanes.»

As NASA prepares for the Journey to Mars, weather and climate prediction are key concerns for the surface operations of the human crews.

A new buzz - word is the concept of «seamless prediction», in which predictions ranging from nowcasting all the way to future scenarios are provided with a sliding time scale and that doesn't make distinction of incremental types such as «weather forecasts» «seasonal predictions» and «climate scenarios».

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.

Making accurate predictions for specific weather patterns, such as the stubborn August jet stream pattern, at a specific point in time is not possible months in advance.

Check the weather as the date gets closer, but whatever the prediction, don't forget to bring layers!

In a typically hilarious goodbye video by Commander Zorg, we get to enjoy their weather predictions of «bleak» and «bleaker still» before finishing off with the all - too - familiar (to those of you as old as I am) BBC testcard image, except the only clown on screen is a certain PDM OBE.

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.

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).

If the noble politicians of this world kept their promises as often as the MetOffice got it's weekly weather prediction right we'd all die of shock.

Crichton seemed to imply that «prediction» (such as that provided by weather or climate models) is useless in the decision making process.

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.

However, 95 % of the time, each model is performing at about the same skill level as quiescent weather is not particularly challenging for today's numerical prediction systems.

The answer, as always, depends on your location, according to the March, April and May weather outlook released today (Feb. 15) by the U.S. Climate Prediction Center.

The GCM models referred to as climate models are actually weather models only capable of predicting weather about two weeks into the future and as we are aware from our weather forecasts temperature predictions...

Namely long term (as in 10 days) weather prediction, and more specifically hurricane tracking.

For example, it is impossible for skeptics and alarmists to come together so long as alarmists pretend — as you do, Fred, in this very essay — that recent weather trends in one part of the world lend proof to their theories and predictions.

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

Accurate weather prediction, difficult as it is, is trivial by comparison.

Type 3 dynamic downscaling takes lateral boundary conditions from a global model prediction forced by specified real world surface boundary conditions, such as for seasonal weather predictions based on observed sea surface temperatures, but the initial observed atmospheric conditions in the global model are forgotten.

In my experience this is certainly the case if you talk about the simulations as predictions rather than projections — the climate models are not predicting what the weather will be on the 5th of May 2051 — they are providing projections of the climate based on emission scenarios and initial conditions.

The 2001 Intergovernmental Panel on Climate Change (IPCC) Report that governments accept as certain predictions of future weather says, «In climate research and modeling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.»

In his book Weather Forecasting: The Country Way, farmer / author Robin Page wrote, «Yet it is strange to record that as the weather forecasting service has grown in size and expense, so it's predictions seem to have become more inaccurate.»

'' 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.»

«The CCR - II report correctly explains that most of the reports on global warming and its impacts on sea - level rise, ice melts, glacial retreats, impact on crop production, extreme weather events, rainfall changes, etc. have not properly considered factors such as physical impacts of human activities, natural variability in climate, lopsided models used in the prediction of production estimates, etc..

1) Show us the past literature where clear discernible, unambiguous predictions about the trajectory of all important climate variables such as «global temperature», «global sea level», «global rain fall», «global severe weather events» and other key «global climate» parameters were made.

But such predictions are proving as elusive as the perfect weather forecast.

I agree gbaikie that models are not appropriate for prediction but could assist in sorting out natural variability as distinct from anthropic influences on weather and climate.

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.

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.

It is like when Judith focuses on the lack of money for stabilizing and modernizing our capacity for longer - term weather prediction — by pointing to the money spent on studying climate change — as if that were the problem.

Gcm can not resolve at mesoscale levels (which is the scale length of weather systems) which makes prediction both difficult and problematic as when the coarse grain resolution is enhanced we move beyond the physical laws per se.

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.