Sentences with phrase «scientists run the models»

To account for the influence of chaos, climate scientists run the models repeatedly, with slightly different starting conditions.

Not exact matches

Scientists will run a model of the storm but adjust for climate change — derived changes in CO2.

Gavin Schmidt, a climate scientist and modeler at the NASA Goddard Institute for Space Studies, said this sort of research is useful for modelers, who can take these results and see whether they show up when they run their models.

When scientists use climate models for attribution studies, they first run simulations with estimates of only «natural» climate influences over the past 100 years, such as changes in solar output and major volcanic eruptions.

No time to adapt In terms of adaptation, the rate of climate change might be more important than how much the climate changes, said Alan Robock, a climate scientist at Rutgers University who ran some of the models for the study.

Scientists are checking advanced climate simulation models against existing data to find that they're running right on track to better predict drastic climate change

Using bird distribution data spanning the breeding seasons between 1990 and 2009, scientists ran the numbers through six A1B climate models, which use middle - of - the - road predictions.

The scientists also ran a computer model to simulate the future of Greenland's surface temperature, grain size, exposed ice area and albedo.

This is according to emergency ocean model simulations run by scientists at the National Oceanography Centre (NOC) and The University of Southampton to assess the potential impact of local ocean circulation on the spread of pollutants.

Scientists are learning how to detect and recognize those waves by studying supercomputer models run at two NASA campuses, the Ames Research Center at Moffett Field, California, and the Goddard Space Flight Center in Greenbelt, Maryland.

Further down the line, Wehner says scientists will be running climate models with 1 km resolution.

The scientists generated the enormous dataset by running NCAR's Weather Research and Forecasting model at an extremely high resolution of about 4 kilometers (about 2.5 miles), across the entire contiguous U.S. Typical climate models only resolve to about 100 kilometers (about 62 miles)-- not nearly the detail available in the new dataset.

The scientists then ran two separate climate models to learn how the rate of global warming might change if the 16 measures were deployed, with and without carbon dioxide controls.

Scientists based previous models on a uniform plasma in order to simplify the problem — modeling is computationally expensive, and the final model took roughly a year to run with NASA's supercomputing resources — but they realized neutral particles are a necessary piece of the puzzle.

The models were run without the influence of greenhouse gases, so that the scientists could compare those results with the observations from 33 years of satellite precipitation data.

The team calculated the change in the amount of heat entering the ocean using a state - of - the - art high resolution ocean model developed and run by NOC scientists that is driven by surface observations.

To run these weather track models, scientists start by gathering information about the atmosphere from various sources, including ships, balloons and satellites.

In addition to running the models at the highest resolution possible to obtain the most accurate forecasts, scientists also conduct something called ensemble models, which allow them to determine the accuracy and consistency of their prediction.

By using simulations that were created by running the same model multiple times, with only tiny differences in the initial starting conditions, the scientists could examine the range of summertime temperatures we might expect in the future for the «business - as - usual» and reduced - emissions scenarios.

But in 2006, four scientists tried to build Janzen's theory into a mathematical model and ran into trouble.

To test the validity of the model, the scientists ran simulations using data from a second group of 120 MS patients.

If you haven't heard of it, here's a quick definition from a 2008 paper by Nick Bostrom and Anders Sandberg, two scientists at the University of Oxford: «The basic idea is to take a particular brain, scan its structure in detail and construct a software model of it so faithful to the original that, when run on appropriate hardware, it will behave in essentially the same way as the original brain.»

After running both models on computers provided by the Department of Energy and the Louisiana Optical Network Initiative, the scientists found the hydroxide ion prefers to congregate at the water's surface.

Using spare computing power of citizen scientists» screen savers allows many runs of the models and increases the confidence in the results that UCS scientists and collaborators will analyze.

The real world will behave more like an individual model run — which does show variations — than the average from all the models together, the scientists explain.

Now, when scientists build climate models, they test them by running them for the past and seeing if the models replicate what actually happened.

Scientists run general circulations models against these scenarios to project future climate conditions, including atmospheric carbon concentrations.

More powerful machines also means that scientists are able to run climate models with higher spatial resolution.

The scientists, Ning Lin and Kerry Emanuel, stressed that these simulation were run only for a single model of storm track and intensity — the National Hurricane Center's central scenario.

Some scientists say «the models run hot» or «the models predict more warming than has been observed.»

«By nearly tripling Discover's performance, NASA scientists will be able to run models with higher resolution and greater fidelity to the underlying physical phenomena,» said Dr. Phil Webster, NCCS Project Manager and Chief of the Computational and Information Sciences and Technology Office at Goddard Space Flight Center.

Spencer, who uses what he calls a simple model without looking at ocean heat or El Nino effects, finds fault with the more complicated models often run by mainstream climate scientists.

From what is written about the models, even the scientists running them admit the effects of those are really just estimates, not results from first physical principles.

SOCCOM scientists are studying several different ESM simulations run by supercomputers at the Geophysical Fluid Dynamics Laboratory (GFDL) and other modeling centers around the world.

A group of scientists from Europe ran the same experiment on four of the world's most complex climate models.

Today, when scientists run complex climate models on powerful computers to simulate immeasurably more complex natural systems like the earth's climate, we must not forget our commitment to truth or that «key to science.»

He also makes a statement that is surprising in how obviously mistaken it is: «It is much easier for a scientist to sit in an air - conditioned building and run computer models, than to put on winter clothes and measure what is really happening outside in the swamps and the clouds.

Mistral enables scientists to run regional climate models with a spatial resolution of hundred meters.

Scientists can determine any percetage and combination pathway they want, but they haven't run it through any sort of sociology or psychology model — even among their own supporters.

The goal was advanced, most notably, by The Club Of Rome (Consultants to the UN)-- a group of mainly European scientists and academics, who used computer modelling to warn that the world would run out of finite resources if population growth were left unchecked.

The scientists generated the enormous dataset by running NCAR's Weather Research and Forecasting model at an extremely high resolution of about 4 kilometers (about 2.5 miles), across the entire contiguous U.S. Typical climate models only resolve to about 100 kilometers (about 62 miles)- not nearly the detail available in the new dataset.

But your point raises the question of why the academics who run the state - funded granting agencies favour the «luvly models run on big, all flashing, computers» rather than the run - of - the - mill scientist working «in the peace and comfort of his own little lab.»

He accuses the NYT of playing down the seriousness of global warming by ignoring: «the substantial number of climate scientists who believe that the consensus predictions are much too optimistic, including some of the leading scientists right here [at MIT] who have recently run what they call the most extensive modelling ever done and concluded that it's far worse than anticipated and that their own results are an understatement...» That would be the MIT Climate Research group financed by Exxon, Shell, BP and Total.

The model behind the research is available for scientists and policymakers to design their own scenarios for bioenergy, conduct sensitivity analysis, and get immediate feedback showing the full dynamics, including both short and long run impacts.

Given that leading UK scientists Grupp UCL Myers Oxford now openly accept the models run hot apparently we can now pump another 240 billion tonnes of co2 and still keep below a 1.5 degree increase.

Using spare computing power of citizen scientists» screen savers allows many runs of the models and increases the confidence in the results that UCS scientists and collaborators will analyze.

THE goal was advanced, most notably, by The Club Of Rome (Environmental consultants to the UN)-- a group of mainly European scientists and academics, who used computer modelling to warn that the world would run out of finite resources if population growth were left unchecked.

THE goal was advanced, most notably, by The Club Of Rome (Environmental think - tank and consultants to the UN)-- a group of mainly European scientists and academics, who used computer modelling to warn that the world would run out of finite resources if population growth were left unchecked.

Tom M. L. Wigley, a highly esteemed climate scientist at the National Center for Atmospheric Research (NCAR), ran scenarios of stratospheric sulfate injection — on the scale of the estimated 10 million tons of sulfur emitted when Mt. Pinatubo erupted in 1991 — through supercomputer models of the climate, and reported that Crutzen's idea did, indeed, seem feasible.

The scientists ran their simplified model under two scenarios.