Data Repository for "Forecasting Mixed Tidal–Fluvial River Water Levels Using a Non-Stationary Tidal Model"

This archive contains data and code that support the findings in M. Dunphy, S.M. Taylor, and M.V. Krassovski. Forecasting Mixed Tidal–Fluvial River Water Levels Using a Non-Stationary Tidal Model. DOI: 10.1080/1755876X.2026.2682048 Submitted to Journal of Operational Oceanography on June 30, 2025. Article received July 14, 2025, and accepted May 26, 2026. The data are organized in the following directories. sshbdy: Python code to run case studies presented in the above publication. Installation instructions can be found in README.md, and the run scripts are in bin/run-[CASE].sh Before running the scripts, appropriate paths should be set in bin/run-paths.sh pointing to the two directories below, as well as to the user's output directory. Gauge_data: Observation data used by the above scripts. Models_and_constituents: Tidal constituents used to predict the water level in the case scripts.