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Direct testing of field observations and/or laboratory studies against model predictions is a way to test the predictive capability of models and the resulting inconsistencies help to identify gaps in our understanding of the ecosystem.
Confidence in model predictions is enhanced by the outcomes of a linear predictive uncertainty analysis, which indicates that predictive uncertainty is lower than climatic and pumping impacts.
Good correlation between experiments and the model predictions is found.
A percent deviation of ionospheric experimental observations from model predictions is discussed.
The average relative error between the measured data and FE model predictions is 7.95%.
The agreement between published experimental results and model predictions is remarkable.
Similar(6)
None of the model predictions are certain.
Model predictions were supported.
Model predictions are shown as red dots.
Model predictions were implemented and confirmed experimentally.
Model predictions are validated by experimental results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com