Articles | Volume 26, issue 8
Hydrol. Earth Syst. Sci., 26, 1993–2017, 2022
https://doi.org/10.5194/hess-26-1993-2022

Special issue: Frontiers in the application of Bayesian approaches in water...

Hydrol. Earth Syst. Sci., 26, 1993–2017, 2022
https://doi.org/10.5194/hess-26-1993-2022
Research article
25 Apr 2022
Research article | 25 Apr 2022

Spatially referenced Bayesian state-space model of total phosphorus in western Lake Erie

Timothy J. Maguire et al.

Model code and software

Spatially Referenced Bayesian State-Space Model of Total Phosphorus in western Lake Erie T. J. Maguire, C. A. Stow, and C. M. Godwin https://doi.org/10.5281/zenodo.5570508

Video supplement

Impact of the Maumee River through Time T. J. Maguire, C. A. Stow, and C. M. Godwin https://doi.org/10.5446/53429

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Short summary
Water within large water bodies is constantly moving. Consequently, water movement masks causal relationships that exist between rivers and lakes. Incorporating water movement into models of nutrient concentration allows us to predict concentrations at unobserved locations and at observed locations on days not sampled. Our modeling approach does this while accommodating nutrient concentration data from multiple sources and provides a way to experimentally define the impact of rivers on lakes.