Examples of using Model simulations in English and their translations into Russian
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An example of the model simulations is given in figure 1.
Laboratory measurements: Laboratory measurements provide the foundation for our satellite retrievals,ground- observations, and model simulations.
There is a big number of model simulations performed within a model framework during both simultaneous and random change of the set parameters.
What metrics andtechniques are most appropriate for evaluating global and regional model simulations with observations and for quantifying uncertainties?
Model simulations show that nitrogen emission controls are extremely important when considering those for sulphur emissions.
Based on current process descriptions, the direct influence of climate change(temperature andrunoff) had very little impact on model simulations for the sites.
Model simulations, utilizing the LINK modelling system, were carried out to study different possibilities for reducing the deficit.
An expert from Italy gave an overview of trendsresults from the air quality monitoring network in Italy, using data from observations and model simulations to analyse the changes.
A useful strategy of incrementally adding features to model simulations was suggested to allow an assessment of the utility of increasing model complexity and to help convey model results.
Furthermore, the integration of fused observations(both space and surface based)into models was shown to lead to substantially improved model simulations of air quality, which would also improve estimates of climate impacts;
Whereas the AOT value(accumulated ozone dose over a threshold) was initially a useful parameter to link ozone concentrations to their environmental effects in some conditions,it is not useful for the interpretation of measurements and model simulations.
MSC-W will compile the meteorological datafor hemispheric modelling and present initial hemispheric model simulations focusing on the analysis of the influence from the free troposphere on ozone levels in Europe.
Dynamic model simulations indicated that N emission controls were important in enabling the maximum recovery from S emission reductions. Increased N leaching had the potential to offset the recovery predicted in response to S emission reductions and further decrease pH in freshwaters.
Seasonally resolved tropospheric OH climatologies,validated against appropriate measurements(see Systematic Observations section), are required to reduce uncertainties in model simulations of the transport of short-lived compounds from the surface to the stratosphere.
BenMAP-CE AirQ2.2 IOMLIFET EVA EBD(no ozone) 1 Tools that read in emissions datasets are often considered“reduced-form” tools, as they can generate broad-scale estimates of the impact of air pollution from built-in relationships between emissions andthe exposure metric(often concentrations) derived from externally conducted air quality model simulations.
Cooperative work will focus on updating the intercontinental source-receptor parameterizations(Theme 2), evaluating the model simulations using various types of observations(Theme 3), evaluating alternative control scenarios(Theme 1) and initiating assessments of the impacts of future control strategies Theme 4.
The model simulations also indicate that N emission controls are extremely important to bring about the maximum recovery in response to S emission reductions. Nitrogen breakthrough has the potential to not only offset the recovery predicted in response to S emission reductions but further to promote substantial deterioration in the pH status of fresh waters and other N pollution problems in some areas of Europe.
At the regional level, commonly identified needs for the development and deployment of these technologies include greater awareness among stakeholders of the need for common standards and compatible data sets, adoption of proposed standards, access to global climate prediction products including a funding system to allow farmers to use these systems, andinfrastructure for regional climate model simulations and decision support tools.
The model simulations also indicate that N emission controls are extremely important to bring about the maximum recovery in response to S emission reductions. Nitrogen breakthrough has the potential to not only offset the recovery predicted in response to S emission reductions but further to promote substantial deterioration in the pH status of fresh waters and other N pollution problems in some areas of Europe.
As a result of studies and model simulations three basic causes of underground and surface water pollution on the considered territory of the Sosnovsk oil deposit in the Samara Area were identified: fracking that includes discharging produced and waste water into the stratum; industrial waste leakages from cushion holes and service wells; leakages from distribution pipelines and tanks with the subsequent filtration through the aeration zone into underground and surface waters.
Keywords: information model, simulation, correlated random variables,model individual insurance, risk management.
Master Classes on Modelling, Simulation and Analysis.
This work would have complemented the engineering modelling simulation studies referred to in paragraph 60 above.
Key words: business game,game model, simulation model, active learning methods, group form of training, investment analysis.
Keywords: restaurant industry,restaurant business entity, simulation model, simulation experiment, system dynamics, streaming graphs, forecasting.
The Best Paper Award for the Symposium Social and Economic Systems, Model, Simulation, Agents, Decision Support to the contribution“Principles of Creating Data Warehouses in Decision Support Systems of Railway Transport”.
Rather, uncertainties in emission inventories seem to be the main source of problems in photo-oxidant modelling simulations.
ASSEMBLIES AND COMPONENTS 16.A.1. Specially designed hybrid(combined analogue/digital)computers for modelling, simulation or design integration of systems specified in 1.A. or the subsystems specified in 2.A.
Software" specially designed for modelling, simulation, or design integration of the systems specified in 1.A. or the subsystems specified in 2.A or 20.A.
Autodesk® Maya® is a software for CAD free 3D animation software delivers an end-to-end creative workflow with comprehensive tools for animation, modeling, simulation, visual effects, rendering, match moving, and compositing on a highly extensible production platform.