Sentence examples for model outputs that from inspiring English sources

Specifically, 9 model outputs that capture various vertical-spatial and temporal domains were investigated.

Model outputs that employed three different spodic intensity class inputs very weak to strong expression, weak to strong expression, and strong expression resulted in similar spodic probability predictions, though there was less area mapped as transitional probabilities in the strong expression model than the two models that included weaker spodic intensity input data.

The greedy ensemble picked a linear combination of model outputs that was a local minimum in the RMSE landscape.

Previous academic work on accessibility has not translated well to practice in part because the calculation of accessibility relied upon regional travel demand model outputs that were difficult to obtain.

The parameter search process, described below, produced numerous sets of distinct transition probabilities resulting in model outputs that had a good "fit" to the calibration targets.

Progression rates between health states were estimated via calibration, which identified distinct parameter sets producing model outputs that fit epidemiologic data; specifically, the prevalence of pre-cancerous lesions and EAC cancer incidence from the published literature and Surveillance, Epidemiology, and End Results (SEER) data.

GSUA first assign uncertainty and that drives sensitivity analysis via variability of model output that accounts for non-linearity among model input factors and those and model output.

Comparison of numerical model output that predicts spatial flow patterns against field observations is a necessity within several areas of the geosciences.

The 'Figures and Downloads' tab shows a series of plots and lists hyperlinks to the results tables and model output that can be downloaded (Additional file 1: Figure S5).

In an effort to develop operational tools that can address spacecraft charging issues, we also identify temporal features in the model output that can be directly linked to input parameter variations and model boundary conditions.

Essentially the steady-state models are executed repeatedly for each grid cell of input to result in model output that matches the spatial extent and resolution of the input(s).