Sentences with phrase «than weather prediction»

Climate forecasting brings many more variables into play than weather prediction does.
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.
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.

Not exact matches

Not only did Richardson's forecast take longer to calculate than the weather it was calculating took to happen, but it was also a prediction after the fact that remained manifestly wrong.
These far - flung, interconnected weather processes are crucial to making better, longer - term weather predictions than are currently possible.
That is allowing weather forecasters to push their predictions further into the future than ever before, while climate scientists are exploring how the MJO will behave in a warmer world.
The gamers were notably better in combining the cue cards with the weather predictions than the control group.
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.
When they compared the isotope predictions with the weather - station data, the measured ratios in northern latitudes tended to be higher than expected, the team reports tomorrow in Nature.
Claiming that the forced climate response must be larger than the weather noise for climate prediction on all time scales is just silly.
I was not planning to take a jacket, but the weather predictions indicated cooler weather than I was expecting, plus, umm, the Dust Bowl was named because of the huge windy dust storms in the 30s.
When I look at reports in the media, and public perception in general, however, any evidence that global warming is real and is already making extreme weather and, hence, terrible suffering more likely today is far, far more powerful than the most terrifying prediction for 2100.
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»).
In making its seasonal prediction, forecasters cautioned that there are large portions of the country for which there are no clear indications whether it will be a warmer, colder, wetter, or drier than average winter, largely due to a fickle El Niño event that may have petered out too early to have much of an impact on North American winter weather.
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.»
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.
Natural day - to - day weather variation is a chaotic system, which makes it very difficult to make accurate predictions of its behaviour more than the few days out.
I distinguish climate from weather by its simplicity, recognition of patterns and trends, but a climate prediction is usually much easier than a weather one.
Maybe NASA could admit that billions of dollars spent of weather prediction is less effective than examining the contents of a dirty diaper.
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
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.
Much like I evaluate the weather predictions, although admittedly, it is much easier to do than climate claim validation.
The weather prediction model used in this research is advantageous because it assesses details about future climate at a smaller geographic scale than global models, providing reliable simulations not only on the amounts of summer precipitation, but also on its frequency and timing.
Do you at least agree that the better analogy for climate prediction is seasonal change than weather patterns?
«Since the weather prediction model simulated the frequency and timing of summer precipitation more reliably than the global model, its daily high temperature predictions for the future are also believed to be more accurate,» added co-author Leonard Druyan, NASA Goddard Institute for Space Studies and Columbia University.
Unfortunately, it's all very possible... Basically, what Levin does here is compile various predictions from a number of climate scientists and writers, cite historical precedents for climate - related migrations in the US (the Dust Bowl), and make some compelling inferences as to what could happen as weather conditions continue to get worse than they ever have before.
But in 1904 another physicist, the Norwegian Vilhelm Bjerknes, had put forth the idea that his «primitive equations» — a set of differential equations providing for a reasonable mathematical description atmospheric flow — could provide the foundation for numerically - based weather prediction methods that could potentially be much more accurate than existing methods.
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.)
Overall, the market environment seems to be more stable than everyone feared, leading to predictions that the industry will weather a long, but mild recession.
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