Preprints
https://doi.org/10.5194/essd-2026-402
https://doi.org/10.5194/essd-2026-402
03 Aug 2026
 | 03 Aug 2026
Status: this preprint is currently under review for the journal ESSD.

MERIT-FullBasin: A global 90-meter basin dataset with a per-pixel upstream index and morphometric attributes

Lulu Jiang, Huan Wu, Weitian Chen, Zhijun Huang, and Ting Yang

Abstract. Fine-resolution hydrographic data are essential for flood prediction and risk mapping, large-sample hydrology, and machine-learning streamflow models. Yet no existing global product simultaneously provides basin identity, upstream-catchment topology, and morphometric attributes at per-pixel resolution. The 90 m MERIT-Hydro flow-direction and flow-accumulation rasters are the input, but computing per-pixel attributes from this 75-billion-pixel global grid exceeds the memory limits of standard geographic information system (GIS) software, and tile-based workflows fragment basins across boundaries. Here we present MERIT-FullBasin, a globally seamless dataset that delivers all three layers at per-pixel 90 m resolution. The first tier delineates 340,991 basins above 1 km² in upstream drainage area, together covering over 99.5 % of global land and partitioning the MERIT-Hydro land mask without gaps. The second tier provides a per-pixel depth-first search interval index (dfs_in, dfs_out); a single interval-containment comparison returns the complete upstream catchment of any target pixel, and the index losslessly encodes the underlying D8 flow-direction raster. The third tier delivers sixteen per-pixel upstream morphometric attribute rasters (eight terrain statistics and eight basin-shape metrics) at pixels with an upstream drainage area of at least 10 km². The full pipeline completes in about 21 hours on a single 13-thread, terabyte-memory high-performance computing node. Each tier is verified independently: tier 1 by exact pixel-count match against the flow-accumulation reference, tier 2 by exact reconstruction of the D8 raster from the index alone, and tier 3 by perimeter benchmarking against three independent reference implementations. Products are distributed as GeoTIFFs co-registered with MERIT-Hydro together with per-basin attribute tables. Per-pixel queries reduce to a single GeoTIFF read or a single table lookup. Among published global hydrographic products, MERIT-FullBasin is the first dataset distributed as a per-pixel queryable flow-tree index. The dataset is openly available at https://doi.org/10.5281/zenodo.20344113 (Jiang et al., 2026).

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Lulu Jiang, Huan Wu, Weitian Chen, Zhijun Huang, and Ting Yang

Status: open (until 09 Sep 2026)

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Lulu Jiang, Huan Wu, Weitian Chen, Zhijun Huang, and Ting Yang

Data sets

MERIT-FullBasin: A global 90-meter basin dataset with per-pixel upstream index and morphometric attributes Lulu Jiang, Huan Wu, Weitian Chen, Zhijun Huang, Ting Yang https://doi.org/10.5281/zenodo.20344113

Model code and software

FlowDex v0.1: A Python interactive toolkit for per-pixel upstream queries on MERIT-FullBasin Lulu Jiang, Huan Wu, Weitian Chen, Zhijun Huang, Ting Yang https://doi.org/10.5281/zenodo.20344113

Video supplement

MERIT-FullBasin: data paper talk video with animated walkthrough of the DFS interval algorithm Lulu Jiang, Huan Wu, Weitian Chen, Zhijun Huang, Ting Yang https://www.youtube.com/watch?v=wJwJT6D3Snc

Lulu Jiang, Huan Wu, Weitian Chen, Zhijun Huang, and Ting Yang
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Latest update: 03 Aug 2026
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Short summary
Knowing how water moves across land underlies studies of floods, ecosystems, and water resources. For any point on Earth's land surface at 90-meter resolution, we built one dataset answering three questions: which drainage area the point belongs to, which other points send water to it, and what the shape and terrain of that water-collecting area look like. Built by tracing each pixel's flow path once and stored as standard map files, the dataset lets researchers query any spot on land instantly.
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