Примеры использования Model validation на Английском языке и их переводы на Русский язык
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The difficulty of model validation.
Model validation statistical instruments.
IfRR/TUBS has continued its activities in the field of modelling and model validation.
Model validation with measurements.
The VOC monitoring data had been shown to be invaluable for model validation.
For model validation this information can be compared with results from space debris environmental models. .
Multi-attribute design optimization through simulation, and model validation through testing.
Particular attention was paid to model validation, both through comparison with measurements and also through model intercomparison studies.
Gather high-quality experimental observations for statistical analyses and model validation;
The Steering Body called upon Parties to consider supporting the model validation work at MSC-W by taking up some of the specified tasks.
Took note of the progress in model development andwelcomed the efforts being made on model validation;
Model validation required all relevant processes to be adequately described with sufficient temporal resolution and at a proper density of sites.
In addition, the scarcity of monitoring data on component-specific PM hinders model validation.
Consequently, the model validation for the serial hybrid system, which is the most complex of all systems tested, was not successful when applying the Japanese validation criteria.
Prepare intercomparison and validation of POP models andnecessary statistical instruments for POP model validation.
The first approach to model validation was to compare model results with observations; the second approach was to compare a given model with other models. .
CCC will evaluate the status of monitoring and quality assurance activities,in particular with a view to providing input for model validation.
As the chassis dyno measurements produce the reference data for the model validation, the accuracy of the dyno measurements turned out to be a key enabler for a successful model validation.
Mr. Sergey Dutchak(MSC-E) discussed the issues of temporal resolution andthe specific requirements for model validation for heavy metals and POPs.
Continuing the preparatory EMEP modelling work for HMs and POPs, including model validation, the statistical analysis of preliminary model results and estimates of calculation uncertainties;
CCC will evaluate the status of monitoring and quality assurance activities,in particular with a view to providing monitoring data for model validation.
Particular attention was paid to model validation, which had been carried out both by comparison of modelled concentrations against measurements and also by a model intercomparison study.
Noted the timely progress made on POPs modelling, in view of the entry into force of the Protocol on POPs, andwelcomed the efforts being made on model validation;
She stressed that MSC-E would continue model validation, including sensitivity studies, intercomparison of models and comparison of modelling results with measurements, a process which had been started in 1995.
Note the timely progress made on POPs modelling, in view of the entry into force of the Protocol on POPs Protocol,welcome the efforts being made on model validation;, and.
Long-term data on site chemistry and vegetation, available from national databases and Convention's monitoring data,should be employed for model validation, exclusion of climatic and other confounding factors, and for quantification of the relative impact of N.
Review heavy metals monitoring data(mosses, forests, etc.) generated in the framework of the Working Group on Effects andmake recommendations for their use in model validation(CCC, MSC-E);
The main ones highlighted were gaps in data sets, limited regional downscaling,limited model validation, deficiencies in the development of assumptions and in applicability, verification, and separation of the impact of different policies, and the high degree of uncertainty in attempting to simulate the future.
Review heavy metals and POPs monitoring data generated in the framework of the Working Group on Effects, andmake recommendations for their use in model validation(CCC, MSC-East);
Real HILS model validation was not possible for all participating manufacturers within the validation test programme and therefore the validation results have been achieved using one HIL(hardware in the loop) system, one SIL(software in the loop) system and one MIL(model in the loop) system setup.