Sentences with phrase «models in general predict»

It is noteworthy that models in general predict the greatest amounts of future warming, while observationally - based studies, often about interglacial - glacial transitions, or differences between geological eras, tend to come up with less warming.

Not exact matches

As used in science, a theory is an explanation or model based on observation, experimentation, and reasoning, especially one that has been tested and confirmed as a general principle helping to explain and predict natural phenomena.

As used in science, however, a theory is an explanation or model based on observation, experimentation, and reasoning, especially one that has been tested and confirmed as a general principle helping to explain and predict natural phenomena.

«Three beliefs about God were tested separately in ordinary least squares regression models to predict five classes of psychiatric symptoms: general anxiety, social anxiety, paranoia, obsession, and compulsion,» reads the abstract for this paper.

You stated: «As used in science, however, a theory is an explanation or model based on observation, experimentation, and reasoning, especially one that has been tested and confirmed as a general principle helping to explain and predict natural phenomena.»

The models were not sophisticated enough to cope with the combination of «relatively coarse tidal and current data» and a general inability to predict the movement of oil on the surface in a complex inshore location.

Park said that his team's model serves as a general outline for considering the use of refugia as a management strategy, providing a blueprint for future models to predict outcomes in specific host - parasite systems.

The group also used a general circulation model to predict what might be expected to happen in the world's wine locales in the next 50 years and determined that an average additional warming of two degrees C may occur.

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.

Vul explains that if his model «is a general description of perception, then it would predict that faces should appear more attractive in a group.

In general, the models use a student's score on, say, a fourth - grade math test to predict how she or he would perform on the fifth - grade test.

Even if the study were right... (which it is not) mainstream scientists use * three * methods to predict a global warming trend... not just climate computer models (which stand up extremely well for general projections by the way) under world - wide scrutiny... and have for all intents and purposes already correctly predicted the future -(Hansen 1988 in front of Congress and Pinatubo).

Firstly, models do indeed predict polar amplification (particularly in the Arctic and particularly in winter) of global warming trends (see our previous piece on this concept) in general.

Do the models, in general and overall, predict more warming than has been observed, or not?

This is computer model crap based on General Circulation Models that fails to predict anything and the climate sensitivity is feeded in the model even though they do nt have a clue what it is.

The models have, in general, failed to predict or even allow for the current warming plateau.

In contrast, general circulation models of the coupled thermosphere and ionosphere predict dramatic responses to changing solar energy inputs (figure 4), but a lack of global datasets precludes comprehensive validation.

A major enigma is that general circulation climate models predict an immutable climate in response to decadal solar variability, whereas surface temperatures, cloud cover, drought, rainfall, tropical cyclones, and forest fires show a definite correlation with solar activity.

Thus it may be possible to falsify the model as an useful tool for predicting future temperatures while it's not possible to falsify the model in more general terms.

That general held «belief» only holds up if things don't fall down (like a bridge under construction in north ACT) or otherwise fail (missing hot spots predicted by faulty models).

As sea ice declines, it becomes thinner, with less ice build - up over multiple years, and therefore more vulnerable to further melting.15 Models that best match historical trends project northern waters that are virtually ice - free by late summer by the 2030s.25, 26,12 Within the general downward trend in sea ice, there will be time periods with both rapid ice loss and temporary recovery, 27 making it challenging to predict short - term changes in ice conditions.

3) The tropical tropospheric 8 km no hot spot Paradox (Strike 3 and the CAWG is disproved) The IPCC's general circulation models predict that most amount of warming on the planet should occur in the tropics at 8k above the earth's surface.

(BTW, my 1 +1 parameter model does not contain a lag and its general success plus the observations of substantial fluctuations around the mean it predicts suggest that the Earth is never substantively in radiative imbalance with some sort of serious lag.

In general, if you trust a model to predict the future when it has shown that it gives wildly wrong answers about the past, you're a fool.

General circulation models predict that global warming over the next few decades will occur mainly in the polar regions.

Jones et al. (2003) investigated the changes in temperature over the past 4 decades at both the near surface (troposphere) and stratosphere layers, and compare them to changes predicted by a coupled atmosphere / ocean general circulation model, HadCM3.

Here, we will be looking at data science broadly as it relates to the construction of models aimed at describing, classifying, and predicting happenings in the world.3 We will apply the most general meaning of the term «algorithm» — a set of instructions one must follow to transform a set of inputs into a set of statements about the world as seen by our models.