Sentences with phrase «model predicts a range»

Not exact matches

Republicans talk of sparking economic growth rates in the range of four per cent, but models run by non-partisan forecasters, such as the Wharton business school at the University of Pennsylvania, predict only a modest increase over the shorter term.

For example, in a prominent study with 58,000 volunteers, a Stanford researcher found that a model using Facebook likes (170 likes on average), predicted a whole range of factors, such as your gender, political affiliation, and sexual orientation with impressive accuracy.

Climate models have always offered a range of possible temperature rises, but it turns out the ones that best fit what's happened so far all predict even greater warming

«When we look forward several decades, climate models predict such profound loss of Arctic sea ice that there's little doubt this will negatively affect polar bears throughout much of their range, because of their critical dependence on sea ice,» said Kristin Laidre, a researcher at the University of Washington's Polar Science Center in Seattle and co-author of a study on projections of the global polar bear population.

The center provides warnings that give a range of possible surge heights across local regions, but the new insights could lead to models that can predict flooding more specifically, «neighborhood by neighborhood» Orton hopes.

By 2070, the model predicts that pikas will have disappeared from much of their historical range in California (39 to 88 percent of sites).

Mora's models merge temperature records with climate forecasts to predict when the temperature for any given region «departs» from its historic range.

Unfortunately, Heisenberg's model also predicted the range of the nuclear force to be 200 times too long.

To tackle their simulation, the pair turned to computer models originally developed by ecologists to predict an animal's geographic range.

The range predicted by the coin hoard model is about half that of the high estimate, indicating that civil wars culled about 100,000 people from the Roman populace, the researchers report online today in the Proceedings of the National Academy of Sciences.

«We need to confirm this synergistic activity of vemurafenib and cediranib across a broader range of melanoma models, investigate why the particular combination is effective, and find biomarkers that predict which patients with BRAF - mutant melanoma should receive this combination,» says Friedman, who is a research fellow in Dermatology at Harvard Medical School.

«Not only does the model work for explaining differences in basic molar design, but it is also powerful enough to accurately predict the range of variants in size, shape, and additional cusp presence, from the most subtle to the most extreme, for most apes, fossil hominins, and modern humans,» says Ortiz.

«When we ran the model over a 10 - year period through a wide range of parameters, it predicted pressure changes significant enough to trigger earthquakes on faults that are already stressed.»

A comparison of its luminosity to the values predicted by theoretical evolutionary models suggests that the substellar object has a mass of 0.051 + / - 0.014 Solar - masses, or around 50 times Jupiter's mass in a range between 22 and 57 Jupiter - masses (Luhman et al, 2006; and Mugrauer et al 2006).

Our aim is to develop a multi-scale mathematical model (ranging from the molecular to the organ scale) of the liver tissue that can predict alterations of organ function consequent to molecular perturbations and disease states.

Although models by different research groups agree that thick clouds can explain the red spectrum, they predict dramatically different effective temperatures, ranging from 1100K to 1600K.

Although dynamic vegetation models tend to predict an overall expansion of cool forests and woodlands (Shafer et al. 2015), some tree species may actually experience reduced ranges due to geographical obstacles to range expansion in response to climate (Coops and Waring 2001).

Several properties of ecological niche modelling in its usual application (i.e., predicting species» geographical ranges) are critically assessed, and some of these problems also apply here.

The Model S can also better estimate available range by searching for location - based windspeed and weather to more accurately predict the car's remaining battery life.

The model line - up is predicted to follow the current line - up with the base «Trend», ST - Line based «Sport» and the range topping «Titanium» variant.

We predict that they will continue introducing models with the small - block pushrod V - 8 for their customers who are happier at that price range while offering a more expensive Chevrolet with enhanced features.

Let's take a look at the expected real returns for a range of asset classes using the simple and reliable model assuming that starting yields predict future returns.

We can model natural variability in summer weather without being able to predict exactly where summer of 2011 will fall within that range.

The important thing is whether the observed increase is in the range yielded by the models used to predict the future, and there it's clear that the spread of model results covers the territory.

This crudely predicted atmospheric fraction is comparable to the model atmospheric fraction after 1000 years, which ranges from 14 - 30 %, depending on the size of the fossil fuel release.

Additionally, unlike most other ducks Audubon's climate model predicts that this species» winter range will contract, and by over one half.

Meanwhile, ECMWF models predict a somewhat less extreme low in the range of 940 mb.

It is well established climate models are unable to accurately predict the dirunal temperature range.

Since models don't predict exact temperatures and instead predict a range of temperatures, that statement is, on it's face, an example of ignorance; the future may not be certain but we will definitely end up somewhere in the range of predicted values.

In a paper published last year Meehl et al (2011) looked at what a range of different climate models predict might happen in the future.

While the resulting ECS as predicted by the models will still be within the previously estimated range, it appears that the mean ECS estimate will now be closer to the lower end of this range.

This colorful and elegant species, formerly called Louisiana Heron, is common in marshes along much of the East Coast of the U.S. Audubon's climate model predicts a 54 percent loss of current summer range by 2080, with some potential expansion well into the interior, particularly in the Mississippi Valley, an area well known for hosting wandering Tricolored Herons in late summer.

Additionally, the observed surface temperature changes over the past decade are within the range of model predictions (Figure 6) and decadal periods of flat temperatures during an overall long - term warming trend are predicted by climate models (Easterling & Wehner 2009).

While these evaluation methods indicate that the models performed very well, they do assume that models that predict current ranges well will also predict future ranges well.

And since crops will be facing not just heat stress but also extreme events such as wide - ranging droughts, flooding, or pest outbreaks, the losses could easily turn out to be more severe than the models have predicted.

Previous global modeling studies have predicted the extent of this species» range in northeastern USA under current climatic conditions [3], [24].

Li, T., T. Hasegawa, X. Yin, Y. Zhu, K. Boote, M. Adam, S. Bregaglio, S. Buis, R. Confalonieri, T. Fumoto, D. Gaydon, M. Marcaida, III, H. Nakagawa, P. Oriol, A.C. Ruane, F. Ruget, B. Singh, U. Singh, L. Tang, F. Tao, P. Wilkens, H. Yoshida, Z. Zhang, and B. Bouman, 2015: Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions.

Most of the world's Anhingas live in Latin America, though, so data from those regions will be needed to make broad predictions about overall future numbers or potential colonization of the predicted expansion of summer range based on Audubon's climate model in the southern United States.

«In the tropical upper troposphere, where the predicted amplification of surface trends is largest, there is no significant discrepancy between trends from RICH — RAOBCORE version 1.4 and the range of temperature trends from climate models.

Researcher Erin Saupe used two ecological computer models to predict the extent of the spider's range in 2020, 2050 and 2080 given the effects of global warming.

I can claim I'm very accurate because my models predict a temperature between absolute zero and the surface temperature of the sun, but that error range is so large, it means I'm not really predicting anything.

• The union of microscopic (atomic level) Hamiltonian dynamical models with macroscopic (system level) thermodynamical models, succeeds extraordinarily well at predicting a vast range of physical phenomena (including heat conductivity, heat capacity, sound velocities, viscosity, thermal expansion, solubility / insolubility, etc..)

More of that stuff in the middle white space... — «consistent with the estimated responses» — well, it may well be, but that doesn't prove much — remember that the models, so far as they go, do predict some things that don't appear to be happening in the real world (tropospheric warming, etc)-- the fact that one particular number happens to be within a (fairly large) range of predictions is not especially persuasive.

(If the models can't predict a very specific range and the radiosondes aren't accurate to a very specific range, then they both agree!!)

Study of ancient climates reveals climate sensitivity in same range as predicted independently by computer models.

Or maybe, «As shown in Figures 1.4 and 1.5, since the end of the 1992 Pinatubo volcano, models have predicted a steady upward trend in global average temperatures, but the observed series have been comparatively trendless, and thus the range of model warming predictions since the early 1990s can be seen to have been biased towards more warming than was subsequently observed.»

When Armour factored rising sensitivity into that 2013 observation - based Nature Geoscience report and recalculated climate sensitivity, he got a best estimate of 2.9 º C — a value well within the IPCC's consensus range and the range predicted by models.

For Armour the biggest caveat in his research is the «huge range» of sensitivity shift predicted by the 21 models.

The high climate sensitivity programmed into the IPCC's climate models is entirely dependent of this hotspot of positive feedback - with the hotspot, climate models predict a scary global warming range that spans from 2 °C to 6 °C.

None of today's trends even approach the IPCC's predicted trend range of 2 to 6 degrees (C) per century that its «experts» and climate models told us long ago were being experienced (unfortunately, they mistook the natural climate's super El Niño's huge impact during 1997/98 as confirmation of CO2 - induced warming).