Sentence examples for modelling capabilities to from inspiring English sources

Assessment of long-term anthropogenic impacts on agro-ecosystems requires comprehensive modelling capabilities to simulate water interactions between the surface and groundwater domains.

A big effort is being made by the scientific community to increase the knowledge regarding the seismic performance of these types of structures and to improve the numerical modelling capabilities to predict their expected behaviour accurately.

The numerical part of the paper deals with the implementation of CFD modelling capabilities to capture the physics of thermal-fluid processes in the micro-scale and to validate the models against the experimental data.

It should be emphasized that the aim is not to find definite models for further use but rather taking advantage the modelling capabilities to reveal basic structures of the set of items and to some extent point out individual respondents with incoherent answer profiles.

We combined a new spatially-explicit disturbance product, available spatially-explicit forest inventory, the best available productivity information, and improved modelling capabilities to the 5.9 Mha of forests that resided within the ~13 Mha in the managed forest zone in the province of  Saskatchewan (Fig. 1).

Consequently, the flow modelling approach can be chosen according to an assessment of modelling capabilities needed to accurately simulate the lahar hazard.

The model capabilities to predict variable amplitude tests are critically discussed by comparisons with experiments.

Then, detailed numerical experiments are used as a benchmark for the calibration and the assessment of the models' capabilities to simulate transport.

Finally, we evaluate climate models' capabilities to reproduce the observed and anticipated impacts and mechanisms associated with volcanic forcing, and assess their potential for seasonal to decadal prediction.

Such case studies shed light to the model capabilities to represent different kinds and particular scheduling problems, achieving integration at the different decision support levels.

We are also conducting a detailed study of the HAF model capabilities to provide quantitative forecasts of the geoeffectiveness of solar-driven space disturbances.