Sentence examples for variable forcing from inspiring English sources

The results indicate the regionally based potential for land cover to persist or fluctuate as land uses are adapted to spatially and temporally variable forcing factors.

All results in Table 2 were calculated with fixed parameters Pr=1, Pm=0/2 (hydrodynamic/dynamo runs), Ra=4×107, E=10−4, and β=0.35 and with variable forcing amplitude q ∗, anomaly width Ψ, and tilt angle τ.

In order to model the dissipative effect due to variable forcing frequency, the authors presented in a previous article an original method based on an additional dimension and on the relativity concept.

It is argued that by improving physical modelling capabilities and coupling physical and numerical models, it should be possible to improve understanding of the complex interactions and processes induced by variable forcing within fluvial systems over a broader range of time scales.

An important gap in existing capabilities identified in this study is the representation of fluvial systems over time scales relevant for managing the immediate impacts of global climatic change; 101 – 102 years, the representation of variable forcing (e.g. storms), and the representation of biological processes.

The TG4 activities have also been directed toward the study of the Geospace system and atmosphere ionosphere−magnetosphere interactions in efforts to address the scientific challenges associated with resolving the system response to variable forcing and to unravel the processes leading to the observed mean state and variability of the ionosphere thermosphere system (IT system).

* Variable forced into models for adjustment.

Forward stepwise regression with alpha=0.05 was used to build models, with the prior SP variable forced into the model.

They come with a large set of variables, forcing parents to consider multiple trade-offs that make the evaluation process as complex as three-dimensional chess.

*: Cox regression with all variables forced into the model.

ORs are only shown for variables forced into the model and those remaining in the model.