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Comparing the experimental results with existing models' predictions is another objective of this study.
Many solids transport models are available for predicting the threshold velocity, but for the same input condition, the predictions of these models may vary by orders of magnitude, and information regarding the confidence of the models' predictions is not readily available.
The main source of error in the models' predictions is perhaps individual limitations and/or the availability of accurate experimental data.
The quality of the output from these models predictions is proportional to current knowledge of the response of phytoplankton and the rest of the marine food web to the appropriate environmental variables.
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Models predictions are compared with experimental data.
The models' predictions are on the whole slightly cooler than last month's data.
Good correlation between experiments and the model predictions is found.
Nate's view of uncertainty, and its implications for climate model predictions, is particularly misguided.
Generating model predictions is a major task in mathematical modeling.
The sensitivity of two parameters (σε and ∑) on model predictions is shown in Figure S3.
Testing the accuracy of model predictions is directly related to the estimation of their error rate.
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