Initial distribution spread: A density forecasting approach
Ensemble forecasting of nonlinear systems involves the use of a model to run forward a discrete ensemble (or set) of initial states. Data assimilation techniques tend to focus on estimating the true state of the system, even though model error limits the value of such efforts. This paper argues for...
Main Authors: | , |
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Format: | Journal article |
Language: | English |
Published: |
2012
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