Data for "Separating Signal from Noise in Large-Domain Hydrologic Model Evaluation: Benchmarking model performance under sampling uncertainty"

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Authors: Gaby Gründemann, Wouter Johannes Maria Knoben, Yalan Song, Katie van Werkhoven, Martyn Clark
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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