Data for "Separating Signal from Noise in Large-Domain Hydrologic Model Evaluation: Benchmarking model performance under sampling uncertainty"
Abstract
Data and code that create the figures in "Separating Signal from Noise in Large-Domain Hydrologic Model Evaluation: Benchmarking model performance under sampling uncertainty", at the time of paper acceptance. To use: Ensure a Python environment with at least: geopandas, jupyterlab, pandas, matplotlib, numpy Download and extract the "Data" and "Scripts" files Ensure a new folder "Plot" exists at the same level as "Data" and "Scripts" Execute notebooks See notebook P4 for specific instructions on obtaining administrative boundaries.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 21 May 2026
- Document type
- Dataset