Data supplement to Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions

DOI

This data supplement contains the data associated with the manuscript: "Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions" (Janzing et al., 2025). It contains the data to create the figures in the paper and consists of model output from PCRaster Global Water Balance Model (PCR-GLOBWB) 2.0 model over the larger Alpine region at 30 arcsec resolution. As the full model output takes up very high memory space, we here mostly provide time series for the different measurement stations used for evaluation and some additional maps needed to recreate the figures in the manuscript.

Identifier
DOI https://doi.org/10.16904/envidat.705
Metadata Access https://www.envidat.ch/api/action/package_show?id=94f54a75-b878-4ff5-8c25-4bbf69649b7d
Provenance
Creator Joren, Janzing,; Niko, Wanders,; Marit, Van Tiel,; Barry, Van Jaarsveld,; Dirk, Karger, 0000-0001-7770-6229; Manuela, Brunner, 0000-0001-8824-877X
Publisher EnviDat
Publication Year 2025
Funding Reference Swiss National Science Foundation, PZ00P2_201818
Rights cc-by; Creative Commons Attribution (CC-BY 4.0)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Language English
Resource Type Dataset
Version 1.0
Discipline Environmental Sciences
Spatial Coverage (3.000W, 43.000S, 18.000E, 51.000N); Switzerland
Temporal Coverage Begin 2023-01-16T00:00:00Z
Temporal Coverage End 2025-10-13T00:00:00Z