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As the model is constructed graphically, sentences start showing up in the OPL text window, which the modelers in the modeling teams should read frequently to make sure that OPCAT "understands" the modelers' intentions, and correct the model in case of misinterpretations.
Of course, we don't know the source spectrum to use to correct the model.
The estimated parameters are then used to correct the model of the faulty system and to reconfigure the controller.
Data gathered in this experiment is used to correct the model, and the cycle continues until no further improvement is found.
The results show that the joint FWI approach can integrate the common structure of models and correct the model structures that are inaccurately reconstructed in the individual FWI methods, providing a comprehensive structural interpretation of the study areas.
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.
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If an idea holds together, it is possible to identify and test underlying assumptions, constantly fleshing out and correcting the model in light of new information.
Update: Corrected the model name.
We confirmed some of these discrepancies through a literature search and subsequently corrected the model.
If a Durbin-Watson test result was significant, we corrected the model for autocorrelated errors.
We examined each inconsistency between experimental results and model predictions, and corrected the model when sufficient justifying evidence could be collected.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com