This is a containerized Python tool following the Tool Specification for reusable research software using Docker.
Data: CAMELS-DE: hydrometeorological time series and attributes for 1582 catchments in Germany A. Dolich et al. https://doi.org/10.5281/zenodo.13837553
Model code and software: Hy2DL: Hybrid Hydrological modeling using Deep Learning methods Eduardo Acuña Espinoza et al. https://github.com/KIT-HYD/Hy2DL/tree/v1.1
Description
The simulation evaluation tool is designed to assess the performance of hydrological simulations against observed hydrological data. It automates the process of loading data from multiple catchments, computing key evaluation metrics, and generating visualizations for a comprehensive analysis. The tool outputs an interactive HTML report containing performance summaries, time series plots, and statistical comparisons. The tool also outputs a .csv file conatining all the metrics for the cathcments.