Sentences with phrase «weather predictions over»

Because the average person isn't going to trust your 80 - year - from - now climate prediction if your weather prediction over the next 10 years isn't on the money.

Not exact matches

The statistics of the weather make short term climate prediction very difficult — particularly for climate models that are not run with any kind of initialization for observations — this has been said over and over.

The researchers compared predictions of 22 widely used climate «models» — elaborate schematics that try to forecast how the global weather system will behave — with actual readings gathered by surface stations, weather balloons and orbiting satellites over the past three decades.

The constraining of the atmospheric model affect the predictions where there are no observations because most of the weather elements — except for precipitation — do not change abruptly over short distance (mathematically, we say that they are described by «spatially smooth and slowly changing functions»).

The differences are (1) that you can not afford spatio - temporal resolution of weather models to simulate thousand years forward, and (2) in weather model you don't care if your prediction will blow up in 100 years yielding Venus condition or Ice Ball, you just stop the computer after a week of simulated time, and start over.

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

This report discusses our current understanding of the mechanisms that link declines in Arctic sea ice cover, loss of high - latitude snow cover, changes in Arctic - region energy fluxes, atmospheric circulation patterns, and the occurrence of extreme weather events; possible implications of more severe loss of summer Arctic sea ice upon weather patterns at lower latitudes; major gaps in our understanding, and observational and / or modeling efforts that are needed to fill those gaps; and current opportunities and limitations for using Arctic sea ice predictions to assess the risk of temperature / precipitation anomalies and extreme weather events over northern continents.

It is one thing to run a weather prediction model over a continent, test its predictability over the next 1 to seven days, do this every day in parallel over 40 years.

Essentially you run a spatially and temporally undersampled weather prediction model based upon an incomplete set of highly chaotic physical laws of over time periods too long to calibrate and test the predictability of the model.

Prediction of the weather and temperature over the next one, two or even ten years.

Instead, it was built to give meteorologists two temperature readings a day over about 96 percent of the planet to provide input into computerized weather prediction models, the forerunners of climate models.

Climate is individual weather observations / predictions integrated over time and area, taking longer - scale trends into account and allowing us to identify such trends.

The statistics of the weather make short term climate prediction very difficult — particularly for climate models that are not run with any kind of initialization for observations — this has been said over and over.