Sentences with phrase «most models predict»

But our best evidence (which unfortunately is not that good) says that this is not happening, at least not to near the extent that most models predict.

What I understand from the abstract is that there are positive feedbacks — to both cooling and warming — and that most models predict a modest positive cloud feedback.

[1] As a result, Arctic sea ice retreat has accelerated over the past 30 years, and most models predict the Arctic could first become ice - free by mid-century.

If climate sensitivity was much lower than most models predict then adaptation would be a logical political response.

Most experts consider this unlikely, but if it did happen, Lenton thinks the sheet could flip in as little time as three hundred years — three times faster than most models predict.

The pace of ice loss — both its extent and the amount of the older, thicker ice that survives from summer to summer — has been faster than most models predicted and clearly has, as a result, unnerved some polar researchers by revealing how much is unknown about ice behavior in a warming climate.

Not exact matches

Are reasoning and imagination — the twin faculties that most of us associate with innovation — enough for Ray Kurzweil to know which of the formulas that he's dreamed up based on past technological trends will lead to the best mathematical models for predicting future trends?

LONDON — One of the Bank of England's most senior policymakers has acknowledged that the central bank is unlikely to predict the next financial crisis or even the next recession in the UK because economic models are simply not good enough.

This belief is so powerfully embedded in the standard equilibrium models most economists use that, strangely enough, even those of us who described the imbalances in one paragraph and in the very next paragraph insisted that a crisis was unlikely — in China's case because of the government's very high credibility and its role as financial guarantor — were automatically assumed to be predicting an imminent crisis.

Suffice it to say that the two new models both explain most of the missing exports we have been talking about — amounting to some $ 30 billion to $ 40 billion — and predict slower export growth in the future than our previous model.

Our most sophisticated models can't predict movements in 60 seconds (consistently, didn't stop us from trying as a joke activity) and it is sad that retail traders who don't even have a fraction of the tools or computing power think they can outperform, except of course the lucky ones (elementary 1st year university statistics predicts that, so they are lucky not talented).

The model predicts that Labour would lose seats in the following constituencies — with most of these losses being made to the Conservatives, but with losses also predicted to be made at the expense of the Liberal Democrats, Plaid Cymru and the Green Party (see below):

Over the years, many different mathematical models of tumor growth have been proposed, but determining which is most accurate at predicting cancer progression is a challenge.

They implemented this principle through the development and application of something they call the «Occam Plausibility Algorithm,» which selects the most plausible model for a given dataset and determines if the model is a valid tool for predicting tumor growth and morphology.

A coalescence model predicts an expected time to a most recent common ancestral male lineage of 270,000 years (95 percent confidence limits: 0 to 800,000 years).

The most likely model predicts that the impactor will create a crater 400 feet in diameter and nearly 100 feet deep.

There is a model that includes this and does predict the anisotropy which Massari and colleagues observed, as long as most of the stars they measure belong to the most compact population.

Most climate models predicted that trend would continue, as humans continued to pump greenhouse gases into the atmosphere.

All five models were able to predict gender accurately more than 78 % of the time, with the most successful model being more than 95 % accurate, the engineers report this week in Digital Investigation.

Nadeau also studies the potential impacts of climate change on species around the globe, using modeling, field observation and experiments to predict where species are most vulnerable and determine how conservation groups can best mitigate the negative impacts of climate change on animal populations.

«The problem is that most of the plant - tolerance models we currently use to predict these outcomes are based on laboratory studies or plant physiological studies, so they often don't factor in the compounding effects of simultaneous stressors like drought and pressure from natural enemies.

One of the most intriguing oddities to surface in 2012 was that the new particle appeared to decay into pairs of photon more often than our current best theory, the standard model, predicts the Higgs should.

«The model also predicts that the two moons are derived primarily from material originating in Mars, so their bulk compositions should be similar to that of Mars for most elements.

«By comparing the results of the models, it was possible to determine which environmental variables are the most effective in predicting zebra movement, and then use this knowledge to try and infer as to how the zebra make their decisions,» said Gil Bohrer, assistant professor in the Department of Civil, Environmental, and Geodetic Engineering at The Ohio State University, who collaborated on the project.

The computational models are critical in helping researchers make the most of their experiments by predicting and validating results.

Most current climate models predict what will happen when the concentration of CO2 in the atmosphere reaches twice preindustrial levels, or some 1.2 trillion tonnes of carbon.

Angela Strecker, an environmental science professor at Portland State University and the study's co-lead author, said that species distribution models can help predict all the places where a given species could live based on their environmental preferences, and using these models can help target conservation efforts to areas where they would have the most impact.

It will never be possible to substantiate such a claim about an individual climatic event, but most climate models predict that the frequency and intensity of such events will increase as the world warms.

Economists at North Carolina State University and Indiana University have found that the most widely used model for predicting how U.S. government spending affects gross domestic product (GDP) can be rigged using theoretical assumptions to control forecasts of how government spending will stimulate the economy.

Diamond is also quick to point out that while the current study shows that COXEN could have been used to predict the most useful drug in many of these cases of advanced ovarian cancer, the actual use of the model will be possible only after validation with a prospective clinical trial.

Cynthia Rosenzweig, a researcher based at Goddard, has been using crop - growth computer models to predict effects of carbon dioxide buildup and climate change on wheat, the most widely cultivated crop in the world.

According to his models, if the sea warms to predicted levels, the most intense hurricanes will be 40 to 50 percent more severe than the most intense hurricanes of the past 50 years.

Using that information, he constructed a computer model that offers the most accurate method to date of predicting how such zones might affect the Gulf of Mexico in the future.

«Most climate models that incorporate vegetation are built on short - term observations, for example of photosynthesis, but they are used to predict long - term events,» said Bond - Lamberty, who works at the Joint Global Change Research Institute, a collaboration between PNNL and the University of Maryland in College Park, Md. «We need to understand forests in the long term, but forests change slowly and researchers don't live that long.»

Only the so - called European model predicted that Sandy would «turn left» and threaten the coast of the nation's most populous city and the surrounding metropolitan area.

While this model fits most galaxies, it also predicts many more small galaxies than are known.

A new study published in Nature presents one of the most complete models of matter in the universe and predicts hundreds of massive black hole mergers each year observable with the second generation of gravitational wave detectors.

Scientists and engineers have devised methods and models to test different sediments and predict where liquefaction is most likely to occur.

At a meeting of the American Astronomical Society in Austin, Texas, Valtonen described how this model predicted the timing of the most recent flare - up, in September 2007.

Because abundant carbon dioxide would have converted these compounds to carbonates, Holland argues that carbon dioxide levels must have been lower than those predicted by most models.

Most current models of forests under climate change can not predict when or where forests might die from temperature and drought stress.

Worse, climate models predict that the areas where marine preserves are most prevalent — coastal regions in the northern hemisphere — will see greater increases in temperature than the oceans as a whole, Halpin said.

They then looked at 11 different climate models that predict precipitation and CAPE through this century and are archived in the most recent Coupled Model Intercomparison Project (CMIP5).

The first is that WIMPs are a natural consequence of the most popular extensions to the Standard Model of particle physics, which predicts their production shortly after the big bang.

The program then selected the most stable alloys according to density functional theory (DFT), which models interactions between electrons to predict a material's properties.

The standard cosmological model of structure formation in the universe predicts that galaxies are embedded in a cosmic web of matter, most of which is invisible dark matter.

The outward - sloping fault has been predicted by so - called «sandbox models,» but these are the most detailed observations to confirm that they happen in nature.

Now, a team of scientists of the University of Cambridge, the UK Met Office and CIMMYT (International Maize and Wheat Improvement Centre) have adapted modelling systems previously used to forecast, ash dispersal from erupting volcanoes and radiation from nuclear accidents (NAME), to predict when and how Ug99 and other such strains are most likely to spread.

While Spanish policymakers are considering releasing lynxes evenly across the country's autonomous regions, the scientists» models predict the most suitable areas to be in the northern half of the Iberian Peninsula.

In the past, the models formulated to predict what happens when these more realistic fluids are accelerated to a fraction of the speed of light have been plagued with inconsistencies: the most glaring of which has been predicting certain conditions where these fluids could travel faster than the speed of light.