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

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.

Data and Resources

Additional Info

Field Value
Identifier 94f54a75-b878-4ff5-8c25-4bbf69649b7d@envidat
Title for URL of the dataset data-supplement-to-hyper-resolution-large-scale-hydrological-modelling-benefits-from-improved-p
Schedule the publication of the dataset -
Issued date October 13, 2025
Modification date November 28, 2025
Conforms to -
Update interval -
Temporal coverage -
Publisher Information EnviDat
Contact points
Languages English
URL https://www.envidat.ch/#/metadata/data-supplement-to-hyper-resolution-large-scale-hydrological-modelling-benefits-
Relation -
Spatial -
Related datasets -
Documentation -
Keywords
Terms of use https://opendata.swiss/terms-of-use#terms_by
Metadata Access API (JSON) Download XML