Sentence examples for assimilation of data from inspiring English sources

The phrase "assimilation of data" is correct and usable in written English.
It can be used in contexts related to data processing, analysis, or understanding information.
Example: "The assimilation of data from various sources is crucial for making informed decisions in our research."
Alternatives: "integration of data" or "incorporation of data".

Exact(7)

The participation of several organizations in this process makes the assimilation of data more difficult.

However, as we have learned from atmospheric and oceanic studies, assimilation of data and dynamical models can bring numerical solutions closer to the real geophysical state.

Model assimilation of data strives to determine optimally the state of an evolving physical system from a limited number of observations.

This new earth-observation system opens up a new avenue to fast assimilation of data from various sensors (both in situ and remote) and to accurate analysis and informed decision makings.

As a complement, glider data assimilation was used to directly correct the model: the uncertain tidal mixing parameter is estimated through assimilation of data provided by the 10 coordinated gliders using an ensemble simulation method.

In computational hemodynamics a mathematically sound assimilation of data and numerical simulations is needed, on one hand for improving reliability of numerical results, on the other one for filtering noise and measurements errors.

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Similar(53)

In principle, this implies the need to assimilate a greater density of observations; however, the distribution of ground-based observing instruments is often the most sparse at the highest latitudes, putting a greater premium on the assimilation of satellite data, e.g. from Langmuir probes and radio occultation techniques, or data derived from GPS tomography.

The experiments show that data assimilation enhancements in LIS are uniquely suited to compare the assimilation of various data types into different land surface models within a single framework.

These findings will expedite the variational assimilation of Lagrangian data.

Direct assimilation of the data might help avoid some of these complications.

However, we show that at both distance scales the assimilation of Flickr data improves the prediction of theoretical models.

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