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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17227529 |
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Table of Contents:
- <p>This notebook accompanies the manuscript <em>“Advancing Large Lake Ice Observations: Water Surface Representation from ICESat-2 Altimetry, Operational Hydrodynamic Models, and Shoreline Gauges.”</em> It provides the computational framework, data processing steps, and analysis workflows used to evaluate how different approaches represent water surfaces in the Laurentian Great Lakes and other large inland lakes.</p> <p>The notebook integrates ICESat-2 photon-counting altimetry, NOAA Great Lakes Operational Forecast System (GLOFS) hydrodynamic model output, and shoreline water-level gauge records. It details methods for:</p> <ul> <li> <p>Filtering and preprocessing ICESat-2 ATL13 observations for open-water conditions.</p> </li> <li> <p>Constructing lake-wide water surface estimates using interpolation from nearby open-water data.</p> </li> <li> <p>Comparing ICESat-2-derived surfaces against hydrodynamic model simulations and gauge observations.</p> </li> <li> <p>Quantifying performance using error statistics (RMSE, bias, standard deviation) across lakes and distance bins.</p> </li> <li> <p>Producing supporting figures, tables, and reproducible workflows for the study.</p> </li> </ul> <p>This notebook is intended to promote transparency and reproducibility, while also serving as a resource for researchers interested in advancing lake ice and hydrodynamic model applications using satellite altimetry and in situ observations.</p>