Sentence examples for modelled data to from inspiring English sources

For each series, a double hyperbolic tangent model was fitted and thresholds were applied to the modelled data to estimate start-, peand, and end-of-season (SOS/PS/EOS).

The physical equation based upon the model of the pore size distribution did not allow exact fitting of the modelled data to the experimental data due to the rigidity and simplicity of the physical model when compared to the real soil porous system.

With this equation, the fit of the modelled data to experiments was the closest one.

The aim of the present study is to use a combination of actual and modelled data to investigate a range of sociodemographic characteristics of women who have prenatal diagnosis in Victoria and to assess a potential relationship between uptake of diagnostic testing and DS birth prevalence, using novel a consumer behaviour modelling technique in the analysis.

To validate the results, modelled data was compared to measurements on actual PHEBs and was found to predict the measured values within 13% for the investigated geometries.

The methodology utilises an archive of measured or modelled wave data to produce multiple (≈103) synthetic hydrodynamic forcing time-series to drive an equilibrium shoreline model in a Monte Carlo simulation.

In an earlier study of primate VOR calibration Raymond and Lisberger modelled electrophysiological data to deal with learning in the cerebellar cortex [36].

Using plant species richness data from 809 WWF terrestrial ecoregions and MODIS-derived NPP estimates, McBride, Cusens and Gillman (2014) linked the fields of ecology and biogeography and modelled productivity data to analyse the relationship between species richness and productivity in relation to ecoregion size.

While the cost-effectiveness of similar programmes have been previously assessed using modelled data, more work needs to be done to assess the costs of new programmes in relation to financial resources available.

We showed that upscaling λE using observed data (S, AE) resulted in underestimation of monthly evaporative energy, while the use of modelled data (SSIN, STOA) led to overestimation, primarily due to the relationship between error and both the season (day-of-year) and cloud fraction.

Given the substantial spatial variation in traffic pollution concentrations it is motivated to use modelled data, from dispersion models, land-use regression models or traffic density measures, as the method for exposure assessment.