Quantifying model output uncertainty from sparse input data: a case study in the Mississippi sound and mobile bay
Abstract A major limitation in hydrodynamic-water quality modeling is the sparse availability of observed data for model inputs. In this study, a hydrodynamic-water quality model, EFDC+, was used to develop a water quality model for the shallow estuaries, Mississippi Sound and Mobile Bay. This study...
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| Main Authors: | Meena Raju, Anna Linhoss, Raúl J. Osorio |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07538-5 |
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