Sentence examples for forcing variables from inspiring English sources

The forcing variables are discharge, river morphology, water temperature, available light and nutrient inputs.

The model depends on seawater temperature and food density, as forcing variables, followed throughout the whole larval development.

Recent field and theoretical studies suggest that mountain catchments respond transiently to high frequency forcing, and so sediment discharge from the catchment is a non-linear function of forcing variables.

The approach undertaken in this study was to quantify the specific uncertainties linked with model parameters, states, input forcing variables, and spatial variations in landscape properties, such that the remaining model uncertainty is equivalent to the inadequacy/inaccuracy associated with the model structure.

Moreover, the modular structure of the model allows for refinements, adaptation to different areas and the introduction of exogenous forcing variables, thus making it a valuable tool for classical hydrologic analyses as well as for new challenges of network and reinsurance risk assessment over extensive areas.

In this study, the GMALSS model was used with exogenous forcing variables such as the ENSO to simulate and forecast precipitation in the East River basin, China.

The channels through which the forcing variable affects the potential outcome distributions are constrained to be minimal, to preserve the nonparametric feature of the RD design.

For the analysis, we employ a regression discontinuity design where we use the outcomes of bond elections as the forcing variable.

The paper shows that this identification problem can be circumvented by reverse-engineering the cross-equation restrictions on the forcing variable of the Euler equation.

Here we show that the addition of damping can cause non-conservative systems to become stable, then unstable, then stable again at the same value of the non-conservative forcing variable.

4 Gelman and Imbens (2014) advocate the use of local approaches in regression discontinuity models and show that estimates based on higher-order polynomials of the forcing variable can be misleading.