Sentences with phrase «different model simulations»

Projections for the these variables are given for different model simulations of climate scenarios.

Different model simulations of these processes going into the future do indeed show varying results.

A second study, led by Hailan Wang of NASA's Goddard Space Flight Center, used different model simulations and came to a similar conclusion: While a warming sea surface did make it more likely that a high - pressure ridge could form, the signal was not strong enough to explain its extreme nature.

Not exact matches

Some of Cross's clients use sophisticated simulation modeling to predict sales at different price levels, but his technique doesn't have to be rocket science.

Those modelers had created 76,600 models and run about 479,000 different simulations on them.

To see whether this increase in crops has influenced the region's unusual weather, researchers at the Massachusetts Institute of Technology in Cambridge used computers to model five different 30 - year climate simulations, based on data from 1982 to 2011.

Many of these simulations show an association between forest cover and rainfall, but every model is different and makes different assumptions.

Model simulations can always be improved by testing predictions against field data collected from different ecosystems, and Sulman and Phillips are doing just that: investigating how roots influence soil decomposition and protected forms of carbon in forests that vary in the composition of tree and microbial communities.

However, Stephen Kelly, the University of Southampton PhD student who ran the model simulations, said «There was a high level of variation between different scenarios, depending on a number of factors.

Magnetic spots (white) near the Sun's surface from three different - sized simulation models.

Chu highlighted the department's biggest new research initiative, a set of eight new Energy Innovation Hubs, each one focused on a different energy - related challenge: solar electricity; fuels produced directly from sunlight; batteries and other kinds of energy storage; carbon capture and storage; new technologies for the electrical grid; efficient buildings; extreme materials; and modeling and simulation.

The researchers focused their global simulations on the U. S. and modeled the country's evolving economic activities in different geographic regions to determine the water requirements for five main sectors: thermoelectric cooling; public supply, such as for drinking water and other public utilities; industrial demand; mining; and irrigation.

Then they plugged that into simulations that took into account climate models and two different carbon emissions scenarios identified by the Intergovernmental Panel on Climate Change.

Using results from simulations conducted using an ensemble of sophisticated models, Ricke, Caldeira, and their co-authors calculated ocean chemical conditions that would occur under different future scenarios and determined whether these chemical conditions could sustain coral reef growth.

They used a computer model to run simulations of the universe expanding and accelerating at many different speeds.

«The burned simulations are based on three different climate and wildfire scenarios, and we also used three different erosion models,» said Sankey.

Unlike conventional simulations with a smoothly expanding universe, taking the structure into account led to a model where different regions of the cosmos expand at different rate.

Journals could include 3 - D colour models of molecules which the reader could turn to view from different angles, moving simulations of cloud movements, even sounds.

Onuchic and his team integrated its direct coupling analysis (DCA) method based on genomic databases with structure - based models (SBM) of proteins to produce simulations of how proteins progress through different functional states.

To project these risks, the team used two different simulation models.

Faced with such ignorance of the nature of dark matter, astronomers try inputting different models of the dark matter into the simulations and see if the results match the observations.

The computer models generated 70 different simulations, including one that yielded the best match to the observed topography of martian valleys.

To understand the role of human - induced climate change in these new records they compare simulations of the Earth's climate from nine different state - of - the - art climate models and the very large ensemble of climate simulations provided by CPDN volunteers for the weather@home ANZ experiments for the world with and without human - induced climate change.

Based on a simulation model, the study evaluated how different factors affect the cooling of different types of houses, and how the human body reacts to temperatures.

Using thus 10 different climate models and over 10,000 simulations for the weather@home experiments alone, they find that breaking the previous record for maximum mean October temperatures in Australia is at least six times more likely due to global warming.

To flesh out the role of different aerosols, the PNNL and UW - led team used computer model to simulation of both marine organic matter and sulfates.

He and his colleagues used atomistic computer simulations to model potential outcomes when pressurizing two honeycomb layers of graphene aligned in different configurations.

We have observed nucleation droplets in our Langevin simulations of a two - dimensional model of martensitic transformations and have determined that the structure of the nucleating drople... ▽ More Systems with long - range interactions quenched into a metastable state near the pseudospinodal exhibit nucleation that is qualitatively different than the classical nucleation observed near the coexistence curve.

Caldeira and Myhrvold analyzed more than 50 climate simulations, which were performed using 20 different climate models for the Climate Model Intercomparison Project, Phase 5 (CMIP5).

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.

The fact that a wide range of different models (including ours) give a reasonably good simulation of the past millennium with this forcing was already shown in the IPCC AR4, see Figs. 6.13 and 6.14.

If that result is seen in multiple models and multiple simulations, it is likely to be a robust consequence of the underlying assumptions, or in other words, it probably isn't due to any of the relatively arbitrary choices that mark the differences between different models.

These uncertainties are reflected in the model simulations of aerosol concentrations which all show similar total amounts, but have very different partitions among the different types.

Based on transient climate model simulations of glacial - interglacial transitions (rather than «snapshots» of different modeled climate states), Ganopolski and Roche (2009) proposed that in addition to CO2, changes in ocean heat transport provide a critical link between northern and southern hemispheres, able to explain the apparent lag of CO2 behind Antarctic temperature.

Figure 1.4 http://cybele.bu.edu/courses/gg312fall02/chap01/figures/figure1.4.gif shows the natural variability of the annual mean surface temperature on several different spatial scales from a climate model simulation for 200 years.

A tricky question is whether the individual GCM simulation can be considered as an independent sample or whether there is a need to include many different types of models made up of different model components [2].

Some of them are optimal fingerprint detection studies (estimating the magnitude of fingerprints for different external forcing factors in observations, and determining how likely such patterns could have occurred in observations by chance, and how likely they could be confused with climate response to other influences, using a statistically optimal metric), some of them use simpler methods, such as comparisons between data and climate model simulations with and without greenhouse gas increases / anthropogenic forcing, and some are even based only on observations.

In a related paper, Santer et al compare the surface / lower - troposphere coupled tropical variability at different timescales in the data and in model simulations performed for the new IPCC assessment.

We employed two different climate model simulations: (1) the simulation of the NCAR CSM 1.4 coupled atmosphere - ocean General Circulation Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a simple Energy Balance Model (model simulations: (1) the simulation of the NCAR CSM 1.4 coupled atmosphere - ocean General Circulation Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a simple Energy Balance Model (Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a simple Energy Balance Model (Model (EBM).

http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-16-0628.1 In our discussion exploring the (very minor) differences in results when using different datasets we said: - «Dataset creation approaches that infill missing data areas may give overconfidence to climate changes in regions where there are no direct measurements, when compared with model simulations that have data in those regions.»

He conflates different model versions (fully interactive simulations in Shindell et al (the p3 runs in CMIP5), with the non-interactive runs used in MEA15 (p1 runs)-RRB-, and different forcing definitions (Fi and Fa).

For reference, if you plot the equivalent quantities in the model that were in their figures, you'd get this: (for 5 different simulations).

In a paper published soon after that testimony, Hansen et al, 1988 presented three model simulations for different scenarios for the growth in trace gases and other forcings (see figure).

I haven't got to the bottom of this yet, but there are several plausible explanations: (i) some of the simulations in the downloaded models from the CMIP3 ensemble stop early, affecting the whole envelope of results, (ii) the use of common EOFs fail to capture large - scale temperature patters that are too different from the past.

We can derive the underlying trend related to external forcings from the GCMs — for each model, the underlying trend can be derived from the ensemble mean (averaging over the different phases of ENSO in each simulation), and looking at the spread in the ensemble mean trend across models gives information about the uncertainties in the model response (the «structural» uncertainty) and also about the forcing uncertainty — since models will (in practice) have slightly different realisations of the (uncertain) net forcing (principally related to aerosols).

The disagreement arises from different assessments of the value and importance of particular classes of evidence as well as disagreement about the appropriate logical framework for linking and assessing the evidence — my reasoning is weighted heavily in favor of observational evidence and understanding of natural internal variability of the climate system, whereas the IPCC's reasoning is weighted heavily in favor of climate model simulations and external forcing of climate change.

Additional simulations used a hierarchy of coupled ocean - atmosphere models combining different atmosphere and ocean components.

Worse, the sets of pre-processed model data that he provided for use in the two related studies, while both apparently deriving from the same set of model simulation runs, were very different.

Ensemble simulations conducted with EMICs (Renssen et al., 2002; Bauer et al., 2004) and coupled ocean - atmosphere GCMs (Alley and Agustsdottir, 2005; LeGrande et al., 2006) with different boundary conditions and freshwater forcings show that climate models are capable of simulating the broad features of the observed 8.2 ka event (including shifts in the ITCZ).

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).