Sentence examples for model with observation from inspiring English sources

As the past studies showed that the difference between the observed and model value changed with local time and location, it is necessary to compare the IRI model with observation data from as many stations as possible at different latitude zones simultaneously.

Association between ADG, percent faecal dry matter, log10 L. intracellularis bacteria/g faeces and log10 Pcopies/ges/g faeces were investigated using a multilevel mixed-effects linear model with observation day included as random slopes at pig and pen levels to account for the repeated measures on the individual pigs [ 16].

This can be seen when we compare the proton number density from the model with observations in Fig. 8.

This equation is consistent with a simple theoretical model, with observations of motion of particles against tubes, and with previous results in the literature.

We challenged the CoZMoMAN mechanistic model with observations in order to evaluate its performance.

This analysis proves the congruence of the whole causal model with observations and the significance of all proposed paths [ 50].

Nevertheless we argue that this approach provides greater support for the model design than simply comparing the predictions of the full model with observations.

We have constructed a mathematical model of possible pathways of fructan biosynthesis to test a range of assumptions and to compare predictions of the model with observations on fructan concentration and polymer length.

The comparison between IRI models with observation during this period has been made and comparison is poor with increasing solar activity with maximum difference during the year 2005.

In this paper, one novel GGD based uncertainty sampling approach is outlined to create one hypernormal ensemble for the purpose of better improving land surface models with observation.

Based on an earlier study of Multi-model Kalman filter, we propose a novel framework to assimilate multiple models with observation data for nonlinear systems, using extended Kalman filter, ensemble Kalman filter and particle filter, respectively.