Sentences with phrase «improve modeling simulations»

These are essential to improve modeling simulations of climate variations and oceanic dynamic process studies.

Meanwhile, some climate modellers are already using the SIM data to see whether that improves the model simulations of ozone and temperature responses in the stratosphere.

Current development is focused on the Cubed Sphere grid and dynamical core to improve the model simulations at higher resolution.

Not exact matches

«Therefore, we are always trying to compare the simulations with real phenomena to improve the models.

As Wetzel explained: «By improving how we modeled the physics of stars, this new simulation offered a clear theoretical demonstration that we can, indeed, understand the dwarf galaxies we've observed around the Milky Way.

«By performing these 3 - D simulations, we provided a huge data set that can be used to improve the accuracy of existing 2 - D and 1 - D flood models,» Constantinescu said.

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.

High resolution is important for improving our physical models of the processes going on inside of individual galaxies in our simulation.»

Canadell added that while the models represent the best possible simulation of Earth system components, they are continually being improved.

«Climate models have improved greatly in the last 10 years, which allows us to look in detail at the simulation of daily weather rather than just monthly averages,» said Pierce.

That would mean a new emphasis on controlling unruly plasma, understanding plasma's interactions with the solid surfaces of the reactor, and improved modeling and simulation.

The Southampton research team, led by Richard Sandberg, Professor of Fluid Dynamics and Aeroacoustics, and including Dr Andrew Wheeler and Professor Neil Sandham, has identified that Direct Numerical Simulations (DNS), a model - free approach based on first principles (no assumptions or modelling are used) can help to develop an improved understanding of the role of turbulent phenomena in the flow - field and determine the validity of current turbulence modelling.

«As astrophysical observations and simulations improve, we're doing increasingly precise comparisons between the models of how galaxies form and the observations of what galaxies actually look like,» Carroll says.

«Now that we know that a 3 - D - printed model is just as effective at training medical students in this type of procedure, this simulation experience can be made available to even more trainees and potentially improve procedural skills for residents, fellows, and attendees,» said Sheu.

This session examined the biogeochemical processes that are likely to affect the evolution of the Earth system over the coming decades, with a focus on the dynamics of marine and terrestrial ecosystems and the development of improved understanding through (a) fieldwork and laboratory experiments, (b) development of new observational datasets, both modern and palaeo, and (c) simulations using numerical models.

Researchers improved modeling of cloud vertical structure by including certain cloud and precipitation variables to increase simulation accuracy

Frei, A., J. Miller, and D. Robinson, 2003: Improved simulations of snow extent in the second phase of the Atmospheric Model Intercomparison Project (AMIP - 2).

The effort uses innovative ARM radar observations from the MC3E field campaign to evaluate a series of high - resolution simulations, which results in an improved understanding of cloud transitions and how to diagnose these transitions in models.

To improve parameterization, the researchers propose developing Earth system models that learn from the rich data sets now available (thanks, in large part, to satellite observations) and high - resolution simulations on local scales.

This means that Illustris might be modeling real galaxies better than it seems, and coupling of a dust reddening model to the simulation output might improve the correspondence between the mismatched vote fraction distributions at lower stellar masses.

Our group moves between computer (models, simulation, mathematics, artificial intelligence) and energy efficiency to improve the design and use of buildings in energy efficiency and comfort.

• School Improvement - offers research for each element in the SPP • Expanding Excellence - highlights successful efforts of Pennsylvania schools in improving performance • Simulations - provides an interactive tool schools can use to enter values for SPP perfomance measures; the simulation model automatically calculates the resulting SPP final score

Dr. Bertocci's group has developed a canine pelvic limb 3D computer simulation model of walking to gain an improved understanding of stifle biomechanics, as well as factors that may predispose dogs to CrCL rupture.

1) Science in general, and modeling / simulation (whether in science and engineering) have long progressed by creating approximations to reality, and then improving them over time.

Additionally, there is little evidence that the rate of conversion of cloud water to rain actually changes with temperature, although Mauritsen and Stevens show that incorporating the iris into the model does improve the model's simulations of some aspects of the climate system (even though it doesn't change climate sensitivity much).

When you say, «incorporating the iris into the model does improve the model's simulations of some aspects of the climate system,» could you be clearer on what «aspects» are improved?

The aim of increasing resolution in AGCMs is generally to improve the simulation of surface climatology compared to coarser resolution models (Cubash et al., 1995).

This research has demonstrated that the new convection parameterization improves the simulation of the diurnal cycle of convection over land areas in the CAM model.

The development of accurate computer - based design programs is crucial for high system reliability through improved modeling and simulation in the design phase.

Results show that higher - resolution models significantly improve the simulation of mean precipitation, the distribution of precipitation, and spatial patterns, intensity and seasonality of precipitation extremes.

This study also provides observational constraints for an improved simulation of convection in models simulating present and future climate models and a better understanding of isotope variations in proxy archives, such as speleothems and tropical ice.

To improve parameterization, the researchers propose developing Earth system models that learn from the rich data sets now available (thanks, in large part, to satellite observations) and high - resolution simulations on local scales.

This allowed the development and validation of more realistic simulations that replicated the aircraft measurements and thus quantified more reliably the entities that can not be obtained directly by the aircraft measurements to improve understanding and modeling of aerosol - cloud - precipitation interactions.

Within the confines of our work with RASM and CESM, we will: (i) quantify the added value of using regional models for downscaling arctic simulations from global models, (ii) address the impacts of high resolution, improved process representations and coupling between model components on predictions at seasonal to decadal time scales, (iii) identify the most important processes essential for inclusion in future high resolution GC / ESMs, e.g. ACME, using CESM as a test bed, and (iv) better quantify the relationship between skill and uncertainty in the Arctic Region for high fidelity models.

Over the next few years these GCM simulations will be extensively evaluated, problems will be found (as seen in some early evaluations1, 2), followed hopefully by solutions that lead to further model development and improved simulations.

Understanding the mechanisms that control tropical convection is a key to improving climate modeling simulations of the global energy balance.

We note that, there will still be a continuing role for simpler models to investigate and improve the simulation of specific mechanisms, including the development of models that investigate possible influences of galactic cosmic rays on cloud formation (see section 4.4).

The goal is to improve model biases with regards to hydrographic measurements and circulation constraints and use the improved model for coupled ocean - atmosphere simulations of preindustrial, historical and future climates.

And beyond the post-facto model evaluation, it will be interesting to see whether new climate models will take advantage of emergent constraints to improve their simulation of present - day climate and to reduce uncertainties in future projections.

Results from real - data simulations and forecasts strongly suggested the potential of improving hurricane prediction with a comprehensive three - dimensional model.

Although the global models have improved over time (Chapter 8), they still have limitations that affect the simulation of extreme events in terms of spatial resolution, simulation errors, and parametrizations that must represent processes that can not yet be included explicitly in the models, particularly dealing with clouds and precipitation (Meehl et al., 2000d).

While the primary contribution is in improving our ability to anticipate how earth system interactions will modulate the rate of increase of carbon dioxide in the atmosphere, the fact that the models require simulation of land and ocean ecosystems make them extremely valuable for a range of applications in ecosystem impacts and feedbacks as well.

The accuracy of the simulations of GST by IPCC would also be improved significantly by introducing the influence of fine dust from the actual atmospheric nuclear explosions into their climate models; thus, global warming behavior could be more accurately predicted

This allowed the development and validation of more realistic simulations that replicated the aircraft measurements and thus quantify more reliably the entities that can not be obtained directly by the aircraft measurements to improve understanding and modeling of aerosol - cloud - precipitation interactions.

Scientists at GFDL develop and use mathematical models and computer simulations to improve our understanding and prediction of the behavior of the atmosphere, the oceans, and climate.

As the quality of global simulations improves it opens up the possibility of manipulating these models in different ways to isolate the factors that alter TC statistics.

The enhanced resolution in the CM2.5 model has a significantly improved simulation of many aspects of climate, particularly hydroclimate over continental regions (Delworth et al., 2012, Figures 5,6,7 and 9); many of the improvements in simulation of near - surface climate in CM2.5 are recovered in FLOR (e.g., Jia et al. 2015).

As a result of these enhancements, the CM2.5 model has a significantly improved simulation of many aspects of climate, particularly hydroclimate over continental regions (Delworth et al., 2012, Figures 5,6,7 and 9) and aspects of ocean circulation.

Since then, literally thousands of papers have made this case very carefully, tens to hundreds of thousands of climate simulations have been run, model errors have been corrected and resolution improved, hundreds of problems in the science have been corrected and claims that humans aren't the source have all been addressed.

Extending this approach to other shelf - sea models would help quantify the uncertainty in more biogeochemical simulations, a step that would ultimately improve the models» ability to inform better management of sea - shelf ecosystems, the source of more than 90 % of the world's fishing catches.