Sentences with phrase «simulation driving model»

That said, the simulation driving model is excellent and the visuals push the PS3 to the limit.

Not exact matches

«Not only is our physics - based simulation and animation system as good as other data - based modeling systems, it led to the new scientific insight that the limited motion of the dynein hinge focuses the energy released by ATP hydrolysis, which causes dynein's shape change and drives microtubule sliding and axoneme motion,» says Ingber.
This image shows QBO amplitude near the equator at a height of 11 miles: Observed values from balloon wind measurements from 1950s to present; simulations from a climate model driven with observed concentrations of greenhouse gases from 1900 to 2005 and then with projected increase through 2100.
Data collected by ship and model simulations suggest that increased Pacific Winter Water (PWW), driven by circulation patterns and retreating sea ice in the summer season, is primarily responsible for this OA expansion, according to Di Qi, the paper's lead author and a doctoral student of Liqi Chen, the lead PI in China.
A 2000 - year transient climate simulation with the Community Climate System Model shows the same temperature sensitivity to changes in insolation as does our proxy reconstruction, supporting the inference that this long - term trend was caused by the steady orbitally driven reduction in summer insolation.
«We can show concrete examples to our leadership of how advanced modeling and simulation is driving new product development instead of hypothetical charts.»
In various talks, interviews and articles, he suggested that a mathematical brain model would deliver such fundamental breakthroughs as simulation - driven drug discovery, the replacement of certain kinds of animal experiments and a better understanding of disorders such as Alzheimer's.
In an ensemble of fully coupled atmosphere - ocean general circulation model (AOGCM) simulations of the late Paleocene and early Eocene, we identify such a circulation - driven enhanced intermediate - water warming.
The initial LASSO implementation on the Cumulus cluster will be for ARM's Southern Great Plains site in Oklahoma and will focus on high - resolution model simulations of shallow clouds driven by ensembles of forcing inputs.
the low ECS estimates they obtain when using data from AMIP simulations (those where models are driven by observed evolving sea - surface temperature patterns as well evolving forcing) are not news.
Numerous teams in the world are developing models and simulations, for example to reproduce the physical processes driving the formation of planets in circumstellar discs, the evolution of their orbits through migration or mutual interaction, or the properties of their atmospheres.
It's not perfect, especially when it comes to the balancing of the simulation, where some categories and specific models drive far better than others, and it still lacks performance optimization, but it's a unique driving experience, bestowed with unprecedented variety.
To reproduce the most important effects and phenomena when driving on the road, the road surface is modelled through a simulation process using five rolling tracks.
Using simulation of an empirically validated model that incorporates the dynamics of the electric powertrains, the vehicle performance, longitudinal slip and power utilization during straight - ahead driving and cornering maneuvers under the different driving modes are compared.The three driving modes enable significant changes to the vehicle behavior to be induced, allowing the responsiveness of the car to the steering wheel inputs and the lateral acceleration limits to be varied according to the selected driving mode.
Through our sophisticated modelling and simulation, they have sufficient driving capability for OLED and potentially, microOLED displays which offer increased contrast, response times and energy efficiency.
You gota take in to account that those games are trying to accomplish diffrent things, while GT3 is about the crazy realistic car models, Forza is about driving simulation to the bone.
I think that a game like Crusader Kings presents a model of complicated human interpersonal interaction, and a simulation of how the implicated personalities and their relationships drive human culture.
With an adept driving model that straddles the line between simulation and arcade racer, Driver: San Francisco allows precision handling once players scrutinize the disposition of each vehicle.
To better understand what Kilimanjaro and other tropical glaciers are telling us about climate change, one ultimately ought to drive a set of tropical glacier models with GCM simulations conducted with and without anthropogenic forcing (greenhouse gases and sulfate aerosol).
The advantage of such partially - coupled models is that they can be driven by past atmospheric conditions and the simulations match well the observed sea ice variability, which is strongly forced by the atmosphere.
The total warming from methane, nitrous oxide and aerosol emissions were each estimated from climate model simulations driven by historical forcing pathways for each gas, and were allocated to individual countries as described in section 2.
The forcings used to drive the model simulation are independent of the tree - ring temperatures, so for such a close match to arise by chance alone is highly improbable.
The model simulations (upper right panel) driven by all known climate forcings over the period in question show a very similar pattern of weakening.
Recently I have been looking at the climate models collected in the CMIP3 archive which have been analysed and assessed in IPCC and it is very interesting to see how the forced changes — i.e. the changes driven the external factors such as greenhouse gases, tropospheric aerosols, solar forcing and stratospheric volcanic aerosols drive the forced response in the models (which you can see by averaging out several simulations of the same model with the same forcing)-- differ from the internal variability, such as associated with variations of the North Atlantic and the ENSO etc, which you can see by looking at individual realisations of a particular model and how it differs from the ensemble mean.
Model simulations for the North Atlantic Ocean and thermodynamic principles reveal that this feedback should be stronger, at present, in colder midlatitude and subpolar waters because of the lower present - day buffer capacity and elevated DIC levels driven either by northward advected surface water and / or excess local air - sea CO2 uptake.
Due to the important role of ozone in driving temperature changes in the stratosphere as well as radiative forcing of surface climate, several different groups have provided databases characterizing the time - varying concentrations of this key gas that can be used to force global climate change simulations (particularly for those models that do not calculate ozone from photochemical principles).
Regional climate simulations, driven by two «well performing» dynamically downscaled IPCC models, also shows an amplification of historical summer temperature and precipitation extremes is occurring in conjunction with the Pacific sea surface temperature influence on US regional climate.
Consistent model biases among the simulations driven by a set of alternative forcings suggest that uncertainty in the forcing plays only a relatively minor role.
The paper incorporates data - driven estimates of the value of fuel economy into an automotive market simulation model that has three components: a consumer demand function that predicts consumers» vehicle choices as functions of vehicle price, fuel price, and vehicle attributes (the new estimates of the value of fuel economy are used to set the parameters of the demand function); an engineering and economic evaluation of feasible fuel economy improvements by 2010; and a game theoretic analysis of manufacturers» competitive interactions.
Virtually all studies use a hydrological model driven by scenarios based on climate model simulations, with a number of them using SRES - based scenarios (e.g., Hayhoe et al., 2004; Zierl and Bugmann, 2005; Kay et al., 2006a).
Ensemble decadal prediction simulations using the Community Earth System Model (CESM) can skillfully predict past decadal rates of Atlantic winter sea ice change because they do well at predicting THC - driven ocean heat content change in the vicinity of the winter sea ice edge in the Labrador, Greenland, Irminger, and Barents Seas.
Hydrologic simulation is performed by driving the Variable Infiltration Capacity (VIC) model over the Pacific Northwest region, for historical and future time periods.
Hydrologic modeling is performed by the variable infiltration capacity (VIC) model at a 1/8 ° resolution and the model is driven by climate scenarios provided by the North American Regional Climate Change Assessment Program (NARCCAP) including nine regional climate model (RCM) simulations.
These Coupled Model Intercomparison Project Phase 3 (CMIP3) simulations were statistically downscaled and used to drive the Variable Infiltration Capacity (VIC) hydrology model over several watersModel Intercomparison Project Phase 3 (CMIP3) simulations were statistically downscaled and used to drive the Variable Infiltration Capacity (VIC) hydrology model over several watersmodel over several watersheds.
However, even without the actual results from the models for the past 30 years, I think we can surmise that driven by changes in anthropogenic forcings alone, the models simulations of the past 30 years would be trending in a similar direction as the model projections for the future, that is, vertical stability and wind shear should be increasing, at least over the tropical Atlantic.
A modelled simulation of the California Current upwelling region (Gruber et al. 2012) forecasts that summer - long undersaturation will occur in the top 60 m of the water column by year 2040 and that by 2050 aragonite saturation states greater than 1.5 will have disappeared, driving more than one half of the water column to undersaturation year - round.
So while the results from more complex models may, in the short - term, be less informative for policy makers and the public, they will help scientists better understand what drives climate change and lead to better simulations in the long - term.
The study uses an extensive suite of existing simulations with the Variable Infiltration Capacity (VIC) hydrologic model driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenamodel driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenaModel Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenamodel of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenamodel to project changes in Fraser River extremes under CMIP5 based climate change scenarios.
, or 3) a 10 - year «red noise» unpredictable fluctuation of the climate system driven by an ocean heat content fluctuation [Meehl et al, NCC 2011](that, however, in the model simulations would occur in 2055 and 2075!).
A regional climate model simulation of coastal fog driven by the National Oceanic and Atmospheric Administration's (NOAA) 20th century reanalysis data set [O'Brien, 2011; O'Brien et al., 2013] shows a century - long decline along the California coast, and a climate projection with the same model hints at a slight decline in the future.
Since climate models are dependent on the CO2 greenhouse gas being a major driving force in the simulations, it is not a surprise to those familiar with the subject that the simulated outputs continue to be deeply flawed.
Marvel et al. reached this conclusion from analysing the response of the GISS - E2 - R climate model in simulations over the historical period (1850 — 2005) when driven by six individual forcings, and also by all forcings together, the latter referred to as the «Historical» simulation.
In simulations by atmosphere - only CMIP5 models driven by evolving SST patterns (AMIP simulations), if the observed historical evolution of SST patterns is used feedback strength is much greater (climate sensitivity is lower) than if the historical evolution of SST simulated by coupled CMIP5 models is used.
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