Maharjan et al. (2026) CHAMELLION: Catchment Hydrology and Attributes with MEteorology for Large-sample studies of Land-use change, Integrated climate projections, and Observational Non-stationarity

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Identification

• Journal: GFZ Data Services
• Year: 2026
• Date: 2026-09-09
• Authors: Alexander Dölich, Jens Kiesel, Uwe Ehret, Patrick Ludwig, Peer Johannes Nowack, Ralf Loritz
• DOI: 10.5880/fidgeo.2026.073

Research Groups

• Hydrology Group, University of Freiburg
• Climate Modeling Branch, MPI-M
• Institute of Water Resources and River Basin Management, University of Stuttgart

Short Summary

The CHAMELLION dataset provides a pan-European hydro-meteorological dataset for 4,565 catchments, integrating time series, climate projections, and static/dynamic catchment attributes. The main finding is the provision of ensemble median streamflow simulations for CMIP6 SSP5-8.5 scenarios.

Objective

• To develop a comprehensive pan-European hydro-meteorological dataset for research and applications

Study Configuration

• Spatial Scale: Continental Europe (7 countries)
• Temporal Scale: Daily to decadal time scales

Methodology and Data

• Models used:
  • LSTM model
  • HBV conceptual model
• Data sources:
  • E-OBS v31.0e for meteorological forcings
  • CORDEX/ESGF for GCM–RCM simulations
  • Copernicus GLO-30 DEM, CORINE Land Cover 2018, and SoilGrids250m for static catchment attributes

Main Results

• Ensemble median streamflow simulations for CMIP6 SSP5-8.5 scenarios
• Bias-corrected climate model forcings using ISIMIP, CDFt, quantile mapping, and linear scaling approaches

Contributions

• Original contribution to the field of hydrology and climate modeling by providing a comprehensive pan-European dataset
• Development of a novel approach for bias correction of climate model outputs

Funding

• EU Horizon 2020 project "CHAMELLION" (Grant Agreement No. 101003553)
• German Federal Ministry of Education and Research (BMBF) through the project "HydroClim" (01LP1902A)

Citation

@article{Maharjan2026CHAMELLION,
  author = {Maharjan, Ashim and Dölich, Alexander and Kiesel, Jens and Ehret, Uwe and Ludwig, Patrick and Nowack, Peer Johannes and Loritz, Ralf},
  title = {CHAMELLION: Catchment Hydrology and Attributes with MEteorology for Large-sample studies of Land-use change, Integrated climate projections, and Observational Non-stationarity},
  journal = {GFZ Data Services},
  year = {2026},
  doi = {10.5880/fidgeo.2026.073},
  url = {https://doi.org/10.5880/fidgeo.2026.073}
}