Derived results and reproduction notebook for reservoir bathymetry and storage inference with limited survey support
Description
This dataset accompanies “Bathymetry and storage inference in reservoirs with limited survey support by integrating soundings and satellite shorelines.” It contains the displayed manuscript and supplementary tables, derived evaluation statistics, seven analytical figures, and a portable Jupyter notebook for reproducing the reported numerical summaries and figures from saved results. The study covers 40 inventory reservoirs and distinguishes sounding-only spatial controls, surface-reference diagnostics, stage-conditioned operational storage comparisons and a retrospective later-campaign test. Linear reconstruction is the primary method, with Sibson natural neighbour and local ordinary kriging retained as fixed sensitivity comparators. The archive preserves unfavorable comparisons and unavailable endpoints. The notebook checks the included files, recomputes Table 4 and checks Table 2 counts and RMSE. It regenerates Figure 8 and Figures S28–S33. Provider data are identified by source and access route. Field soundings, raw provider records, raster reconstructions, inferred masks and model weights require separate access. The deposited tables are numerical summaries derived from the study comparisons.
Files
Steps to reproduce
Extract the ZIP. Start Jupyter in the extracted directory with Python 3.12 and the numerical packages in requirements.txt. Run all cells of P2_reproduce_results.ipynb. It verifies SHA256SUMS.txt, recalculates the Table 4 endpoints, checks Table 2 counts and RMSE, and saves the regenerated Figure 8 and Figures S28–S33 in a new output directory. Read SOURCES_AND_ACCESS.md for inputs needed to start from observations.