Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916778342350848 |
|---|---|
| author | Vischer, Marc Aurel Otero, Noelia Ma, Jackie |
| author_facet | Vischer, Marc Aurel Otero, Noelia Ma, Jackie |
| contents | We present a dataset for rainfall streamflow modeling that is fully spatially resolved with the aim of taking neural network-driven hydrological modeling beyond lumped catchments. To this end, we compiled data covering five river basins in central Europe: upper Danube, Elbe, Oder, Rhine, and Weser. The dataset contains meteorological forcings, as well as ancillary information on soil, rock, land cover, and orography. The data is harmonized to a regular 9km times 9km grid and contains daily values that span from October 1981 to September 2011. We also provide code to further combine our dataset with publicly available river discharge data for end-to-end rainfall streamflow modeling. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_03819 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling Vischer, Marc Aurel Otero, Noelia Ma, Jackie Machine Learning I.2.1; I.6.5; J.2 We present a dataset for rainfall streamflow modeling that is fully spatially resolved with the aim of taking neural network-driven hydrological modeling beyond lumped catchments. To this end, we compiled data covering five river basins in central Europe: upper Danube, Elbe, Oder, Rhine, and Weser. The dataset contains meteorological forcings, as well as ancillary information on soil, rock, land cover, and orography. The data is harmonized to a regular 9km times 9km grid and contains daily values that span from October 1981 to September 2011. We also provide code to further combine our dataset with publicly available river discharge data for end-to-end rainfall streamflow modeling. |
| title | Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling |
| topic | Machine Learning I.2.1; I.6.5; J.2 |
| url | https://arxiv.org/abs/2506.03819 |