Articles | Volume 29, issue 24
https://doi.org/10.5194/hess-29-7173-2025
https://doi.org/10.5194/hess-29-7173-2025
Research article
 | Highlight paper
 | 
15 Dec 2025
Research article | Highlight paper |  | 15 Dec 2025

How do geological map details influence the identification of geology-streamflow relationships in large-sample hydrology studies?

Thiago V. M. do Nascimento, Julia Rudlang, Sebastian Gnann, Jan Seibert, Markus Hrachowitz, and Fabrizio Fenicia

Data sets

EStreams: An Integrated Dataset and Catalogue of Streamflow, Hydro-Climatic Variables and Landscape Descriptors for Europe (1.2) T. V. M.do Nascimento et al. https://doi.org/10.5281/zenodo.14778580

Data from ``How do geological map details influence the identification of geology-streamflow relationships in large-sample hydrology studies?'' (0.1) T. V. Medeiros do Nascimento et al. https://doi.org/10.5281/zenodo.14779451

Model code and software

Code from "How do geological map details influence the identification of geology- streamflow relationships in large-sample hydrology studies?" T. V. M. do Nascimento https://doi.org/10.5281/zenodo.17700903

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Executive editor
This article has been chosen as a highlight paper by the handling editor, for its potential to advance large scale model development in hydrological process modeling. Building on previous work from the author team, the article shows that global hydrological analyses may fail because global datasets are not of sufficiently high quality or sufficiently detailed to fully represent underlying hydrological processes. This paper provides an important perspective for the many global studies currently undertaken by the hydrological community.
Short summary
We show that geological maps with varying levels of detail may influence the identification of geology–streamflow relationships across European catchments at multiple scales. At the large scale, controls varied between basins, with no map consistently superior. At the intermediate and small scales, however, higher geological detail consistently strengthened correlations, particularly for baseflow signatures, with the regional map highlighting controls more consistent with process understanding.
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