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| Type: | Resource | |
| Storage: | The size of this resource is 147.8 MB | |
| Created: | Mar 17, 2025 at 3:15 p.m. (UTC) | |
| Last updated: | Feb 25, 2026 at 4:08 p.m. (UTC) (Metadata update) | |
| Published date: | Feb 25, 2026 at 4:08 p.m. (UTC) | |
| DOI: | 10.4211/hs.4190ad67b1824f92a2a146a20da10909 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 361 |
| Downloads: | 16 |
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Abstract
This dataset accompanies the paper "Spatiotemporal dynamics of streamflow drought in the larger Alpine region" by Janzing et al. (2026, WRR).
All data is based on the runs with the PCR-GLOBWB2.0 model, run at a spatial resolution of 30 arcsec over 1990-2019 as described in Janzing et al., (2025). The dataset contains all modelled data needed to recreate the figures in the manuscript.
The modelled domain is 2.5--18.5 degree longitude and 42.5--51.5 degree latitude, whereas the analysis was caried out over a smaller study domain (3--18 longitude and 43--51 latitude).
For an extended description of the variables and data, we refer the reader to the research paper.
References:
Janzing, J., Wanders, N., Van Tiel, M., & Brunner, M. I. (2026). Spatiotemporal dynamics of streamflow drought in the larger Alpine region.
Janzing, J., Wanders, N., Van Tiel, M., Van Jaarsveld, B., Karger, D. N., & Brunner, M. I. (2025). Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions. Hydrology and Earth System Sciences, 29(23), 7041-7071.
Subject Keywords
Coverage
Spatial
Temporal
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Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Swiss National Science Foundation | Predicting floods and droughts under global change | PZ00P2_201818 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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