Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2239-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2239-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
12 May 2022
Data description article |
| 12 May 2022
| 12 May 2022
River network and hydro-geomorphological parameters at 1∕12° resolution for global hydrological and climate studies
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Bertrand Decharme
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
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24 citations as recorded by crossref.
- Improving large-scale river routing models with ESA long-term CCI discharge data assimilation: advancing accuracy for climate studies M. Sadki et al. https://doi.org/10.5194/hess-30-6159-2026
- Multi-scenario assessment of future landslide susceptibility and relative exposure burden under Shared Socioeconomic Pathways in the Wumeng Mountains Region, Southwest China X. Huang et al. https://doi.org/10.1080/19475705.2026.2729954
- Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al. https://doi.org/10.1016/j.jhydrol.2026.135122
- The use of GRDC gauging stations for calibrating large-scale hydrological models P. Burek & M. Smilovic https://doi.org/10.5194/essd-15-5617-2023
- Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1 A. Druel et al. https://doi.org/10.5194/gmd-15-8453-2022
- Skilful seasonal streamflow forecasting using a fully coupled global climate model G. Narváez-Campo & C. Ardilouze https://doi.org/10.5194/hess-29-4739-2025
- A new high-resolution global topographic factor dataset calculated based on SRTM Y. Sun et al. https://doi.org/10.1038/s41597-024-02917-w
- Use of spatial water database as an essential element of water management – a methodological overview N. Janczewska et al. https://doi.org/10.2478/environ-2025-0005
- Performance-oriented parallel upscaling of river drainage networks for large data sets A. da Paz et al. https://doi.org/10.1007/s10596-026-10403-y
- Climate warming drives thermal shocks and accelerated freshwater habitat fragmentation H. Wang et al. https://doi.org/10.1038/s41558-026-02731-9
- Topological Relationship‐Based Flow Direction Modeling: Mesh‐Independent River Networks Representation C. Liao et al. https://doi.org/10.1029/2022MS003089
- Novel WRF-Hydro runoff simulation method considering optimal river network and underlying surface data Q. Zhao et al. https://doi.org/10.1007/s12665-025-12134-2
- Dynamic flood risk prediction in Houston: a multi-model machine learning approach S. Mishra et al. https://doi.org/10.1080/10106049.2024.2432866
- Technical note: Comparing three different methods for allocating river points to coarse-resolution hydrological modelling grid cells J. Godet et al. https://doi.org/10.5194/hess-28-1403-2024
- Chained hydrologic-hydraulic for flood modeling by assimilating SAR-derived flood extent and FFSAR-processed altimetry data T. Nguyen et al. https://doi.org/10.1016/j.jhydrol.2025.134013
- Impact of leaf area index assimilation and gauge-corrected precipitation on land surface variables in LDAS-Monde: a case study over China E. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133304
- Introducing a new floodplain scheme in ORCHIDEE (version 7885): validation and evaluation over the Pantanal wetlands A. Schrapffer et al. https://doi.org/10.5194/gmd-16-5755-2023
- Technical Note: Drainage Density-Preserving River Network Delineation Algorithm H. Yang et al. https://doi.org/10.3390/w17111636
- Comparative Assessment of Remote Sensing Precipitation Products for Runoff Estimation in Indian Watersheds D. Roy et al. https://doi.org/10.1061/JHYEFF.HEENG-6847
- Evaluation of LiDAR-derived river networks coarsening with spatial patterns preservation A. Almeida et al. https://doi.org/10.1016/j.cageo.2024.105639
- Impact of Spatial Resolution on River Flow Simulation Based on the Total Runoff Integrating Pathway (TRIP) Model M. Kim et al. https://doi.org/10.3390/atmos16091083
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. https://doi.org/10.5194/gmd-16-427-2023
- To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. https://doi.org/10.5194/hess-27-3505-2023
- Uncertainty sources in a large ensemble of hydrological projections: Regional Climate Models and Internal Variability matter G. Evin et al. https://doi.org/10.5194/hess-30-1023-2026
Saved (final revised paper)
Latest update: 07 Oct 2026
Short summary
This paper presents a new global-scale river network at 1/12°, generated automatically and assessed over the 69 largest basins of the world. A set of hydro-geomorphological parameters are derived at the same spatial resolution, including a description of river stretches (length, slope, width, roughness, bankfull depth), floodplains (roughness, sub-grid topography) and aquifers (transmissivity, porosity, sub-grid topography). The dataset may be useful for hydrology modelling or climate studies.
This paper presents a new global-scale river network at 1/12°, generated automatically and...
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