Global sensitivity analysis is a statistical method used to determine how different input variables impact the outputs of a model across its entire parameter space. This approach evaluates the influence of uncertainty in model parameters on predictions, providing insights into which variables most significantly affect the model's outcomes, and is particularly valuable in environmental modeling and prediction for assessing risk and guiding decision-making.
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