Sentence examples for modelled data from inspiring English sources

Exact(60)

The first scenario was set up including modelled data, whereas the second scenario included both monitored and modelled data.

They modelled data up to 1970, then developed a range of scenarios out to 2100, depending on whether humanity took serious action on environmental and resource issues.

Comparisons between measured and modelled data demonstrated the reliability of the model for simulating the hydraulic behavior of the green roofs.

The main objective of this study is to analyse the mechanisms of soil water and vapour transport in the desert vadose zone (depth of ∼350 cm) by using measured and modelled data in an extremely arid environment.

To estimate the rate of dephosphorylation we have modelled data obtained previously by us [24].

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.

This paper uses spectral reflectance data from the Leaf Optical Properties EXperiment (LOPEX) and modelled data from the Prospect leaf reflectance model to examine the relationships between FMC, leaf equivalent water thickness (EWT) and a range of spectral vegetation indices (VI) designed to estimate leaf and canopy water content.

While comparing infiltration models with field data, it is observed that infiltration rate versus time plots for field data and modelled data do not accurately match; but the Modified Philip's model is much closer to observed field data having C.C, NSE and RMSE values of 0.9992, 0.9981 and 0.3182 (mm/h), respectively.

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 appropriateness of the methods is evaluated by means of modelled data provided by simulation of mass transport in a three-dimensional model domain.

Since empirical research traditionally advances in its data accuracy and validity - in contrast - process-based models do not always provide comparable outputs, it is difficult to judge on the quality of modelled data, especially with the traditional criteria for assessing scientific outcomes [17].

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