Quantifying model output uncertainty from sparse input data: a case study in the Mississippi sound and mobile bay

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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Bibliographic Details
Main Authors: Meena Raju, Anna Linhoss, Raúl J. Osorio
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Applied Sciences
Subjects:
Sparse data
Interpolation
EFDC+
Mississippi sound
Mobile Bay
Hydrodynamics
Online Access:https://doi.org/10.1007/s42452-025-07538-5
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https://doi.org/10.1007/s42452-025-07538-5

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