Preprints
https://doi.org/10.5194/essd-2026-279
https://doi.org/10.5194/essd-2026-279
26 Jun 2026
 | 26 Jun 2026
Status: this preprint is currently under review for the journal ESSD.

GRIT-ADB: A Global Attribute Database for the GRIT Hydrography

Boen Zhang, Michel Wortmann, Yinxue Liu, Frederik Kratzert, Simon Moulds, and Louise Slater

Abstract. Global hydro-environmental databases provide essential information for large-scale hydrological, ecological, geomorphological, and Earth system analyses. Most existing global databases are built upon convergent river representations that do not explicitly capture bifurcating, multi-channel river systems. In addition, these databases primarily characterise long-term climatological means or static representations of environmental conditions derived from earlier-generation global datasets, limiting their applicability for time-varying analyses of hydroclimatic and geomorphological processes. Here we present GRIT-ADB, a new attribute database for the vectorised Global River Topology (GRIT), a new river hydrography dataset created from a 30 m resolution river mask and terrain data that provides a topology-explicit and physically realistic representation of river networks including divergent flow pathways. GRIT-ADB provides standardised hydro-environmental information for 19.6 million km of rivers and streams. It currently comprises 64 time-varying (multi-dimensional embeddings) and 35 static variables (>300 attributes), spanning five categories: hydrology, physiography, climate, land cover and use, and soils and geology. Attributes are derived by aggregating and harmonising data from state-of-the-art global datasets and are accumulated along the river network from headwaters to basin outlets, while preserving the topology of divergent and complex flow pathways. The attributes are linked to multiple GRIT scales, including hierarchically-nested subbasins, individual river reaches of up to 1 km long, and coarser-scale river segments of several kilometres long, providing a flexible framework that can accommodate future extensions of GRIT and additional attributes. By combining a standardised attribute framework with explicit representation of bifurcating river hydrography, GRIT-ADB enables improved large-scale yet high-resolution analyses of river connectivity, hydrological extremes, hydro-ecological processes, and climate impacts in complex river systems, supporting a wide range of global hydrological and environmental applications.

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Boen Zhang, Michel Wortmann, Yinxue Liu, Frederik Kratzert, Simon Moulds, and Louise Slater

Status: open (until 02 Aug 2026)

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Boen Zhang, Michel Wortmann, Yinxue Liu, Frederik Kratzert, Simon Moulds, and Louise Slater

Data sets

GRIT-ADB: A Global Hydro-Environmental Attribute Database for the GRIT Hydrography B. Zhang et al. https://doi.org/10.5281/zenodo.19363178

Boen Zhang, Michel Wortmann, Yinxue Liu, Frederik Kratzert, Simon Moulds, and Louise Slater
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Short summary
We created a new global hydro-environmental database to better describe how rivers are connected and how surrounding environments vary across space and time. Most existing databases simplify river networks, miss complex flow paths, and are largely based on older global datasets. Our database provides more than 300 attributes for 19.6 million km of rivers and streams. It supports more accurate study of water movement, environmental change, and climate impacts worldwide.
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