The researchers ran the model for a broad parameter space for variables that may have been important around 4 billion years ago when the iconic valley networks on the planet's southern highlands were formed.
The researchers ran the model between the years 1500 BC and AD 1500.
When
the researchers ran their model with the lower oxygen estimates, the ozone shield never formed, leaving the modest puffs of methane that escaped the oceans at the mercy of destructive photochemistry.
Not exact matches
But when
researchers ran the same
model with the usual data from the US forecasting programme, it came up short.
Using this
model,
researchers are able to predict the optimal
running strategy throughout the race, including the optimal speed and energy spent from the start.
And when the
researchers incorporated those relationships into the
model, he says, the
runs most consistent with the actual fire involved almost no panic at all.
He and fellow
researcher Martin Scherer were able to determine this by
running models with current levels of greenhouse gases as well as ones that reflected preindustrial levels and examining the relative likelihood of the heat wave.
When
researchers ran the numbers for the Corn Belt, the global
models fell short of reality: They predicted both temperature and humidity to increase slightly, and rainfall to increase by up to 4 % — none of which matches the observed changes.
Researchers have developed a
model to assess how dams affect the viability of sea -
run fish species that need to pass dams as they use both fresh and marine waters during their lifetimes.
The
researchers entered Tampa Bay area climate data recorded between 1980 and 2005 into their
model and
ran 7,000 simulated hurricanes in the area.
Researchers now can
run more accurate simulations based on the ramp
model to predict where the shaking will be strongest, and whether they would expect a tsunami.
Instead of
running tests on live kidneys,
researchers at Binghamton, University State University of New York have developed a
model kidney for working out the kinks in medicines and treatments.
The new
model allows
researchers to
run large - scale experiments in conditions that are much more like the actual places where the bacteria colonize, without requiring
researchers to collect countless specimens of actual mucus, called sputum, from humans.
To determine the extent of carbon dioxide's contribution,
researchers ran the data for carbon dioxide and each of the other variables in isolation through several computer
models that mimic the plant growth observed in the satellite data.
The
researchers ran more than 2500 simulations based on a
model they developed that projected the precise orbits and interactions of the entire solar system over the next 5 billion years.
With future exascale systems, the
researchers hope to
run the same
model at 5 - 10 hertz resolution in approximately five hours or less.
Many Terabytes of simulation data (1 Terabyte are thousand billion bytes) had to be analysed and visualized before the
researchers could grasp the essence of their
model runs.
Researchers at Oregon State University have developed a
model that explains how geckos, as well as spiders and some insects, can
run up and down walls, cling to ceilings, and seemingly defy gravity with such effortless grace.
The
researchers next
ran those numbers through an optimization
model that produced a likely energy mix.
The
researchers relied upon foot - ground contact time, aerial time,
running velocity and body mass to determine the ground reaction forces using the new method, called the «two - mass»
model of
running mechanics.
The
researchers took those observations from 2007 and 2008, nearly 12,700 of them, and essentially
ran a weather
model in reverse to trace those measurements back in time and space.
However in parallel to their practical experiments, the
researchers have been
running calculations
modelling the process on their computers and have thus been able to simulate the «capturing of light» in the tiny spheres.
To study how and why DEB changes in volatility, the
researchers measured properties such as vapor pressures and melting points, probed molecular structure, and
ran quantum mechanical computer simulations to
model the hydrogenation process.
In computer
models, the
researchers ran through dozens of simulations of each zone, both before and after the divisions took place.
The USC
researchers applied a regional climate
model to California, and Berkeley Lab
ran simulations of building energy consumption.
Because this number of vehicles exceeds the present rush hour figure and the software can
run the simulation five times faster than real life,
researchers believe that given real roadside data, the
model will produce accurate forecasts.
Using the National Computational Infrastructure supercomputer at ANU to
run climate
models, the
researchers explored when new normal states would appear under the Intergovernmental Panel for Climate Change's four emissions pathways.
Extreme - weather
researcher Daniel Swain and associate professor Noah Diffenbaugh
ran simulations using climate
models.
Running atmospheric computer
models, British
researchers found a connection between climate change and turbulence, and they predict that the average strength of turbulence will increase by 10 to 40 % by 2050.
Running simulations with an Earth System
model, the
researchers find that if atmospheric CO2 were still at pre-industrial levels, our current warm «interglacial» period would tip over into a new ice age in around 50,000 years» time.
The
researchers then
ran their ice sheet
model to simulate how the glaciers responded to global temperature rise under a
By enabling
researchers to test these ideas through statistical analysis, computer
modeling and simulation — which are faster and more cost - effective than experimental testing — the institute will accelerate the development of biomedical knowledge and, in the long
run, transform the practice of medicine.
Later, back in Tromsø, the
researchers ran computer
models.
The
researchers then
ran their ice sheet
model to simulate how the glaciers responded to global temperature rise under a medium - high emissions scenario.
And because the
researchers can
run computer simulations based on their
model, they aren't subject to the restrictions associated with clinical trials.
The
researchers can
run the 3D
models and then see what conditions are produced, and especially can see if they produce a possibly habitable climate and world.
To determine effects of both natural climate forcings and the human contribution, the
researchers examined global climate
model runs from the latest set of
models, known as CMIP5, produced for the IPCC Fifth Assessment Report.
The
researchers ran earth
model simulations in which greenhouse gases were kept at natural levels.
Under such pricing
models,
researchers at the Rocky Mountain Institute, an energy think tank, found that peak rates typically
run as high as seven times more than off - peak rates.
The
researchers prodded their
model with a freshwater flow equal to between 25 and 50 times the flow of the Amazon River in 12
model runs that took more than a year to complete.
When
researchers ran the numbers for the Corn Belt, the global
models fell short of reality: They predicted both temperature and humidity to increase slightly, and rainfall to increase by up to 4 % — none of which matches the observed changes.
In addition to
running climate
models, the
researchers compared modern warming to similar temperature increases that happened approximately 120,000 years ago in a period known as the Eemian, when global sea level was 5 to 9 meters (between 16 and 30 feet) higher than it is today due to the release of glacial water.
The
researchers did test the pre-satellite data by comparing their results with
model runs where it wasn't included, Wie says:
Researchers then
ran a climate
model to look at what removing the existing forest cover from the 13 most - heavily - treed regions would mean for growing conditions across the country.
Each alternative
model is
run by different groups of
researchers, so we also test for sensitivity to analyst attitude.
The
researchers then
ran their ice sheet
model to simulate how the glaciers responded to global temperature rise under a medium - high emissions scenario.
The
researchers ran four stringency scenarios on the energy - economic
model which simulated how a given climate policy would change a province's economic activity, energy use, and its emissions of carbon dioxide and air pollutants.
But if
researchers run the same
model, or an ensemble of
models, multiple times and the results diverge from each other or from the observed trends, he cautions, «planners should handle them with kid gloves.
The
researchers ran about 800 computer
models to complete the most comprehensive and specific analysis to date of how personal experience and perceptions of local climate anomalies affect beliefs about climate change.
High - performance computers such as Cheyenne allow
researchers to
run increasingly detailed
models that simulate complex events and predict how they might unfold in the future.