Preprints
https://doi.org/10.5194/essd-2026-695
https://doi.org/10.5194/essd-2026-695
16 Oct 2026
 | 16 Oct 2026
Status: this preprint is currently under review for the journal ESSD.

TORRENT: An observation-constrained and benchmark-ready community shared dataset in the contiguous United States for flash-flood research and model intercomparison

Songkun Yan, Mengye Chen, Jonathan J. Gourley, Jian Zhang, Günter Blöschl, Paul Bates, Zhi Li, Siyu Zhu, Abigail Snooks, Yixin Wen, Xiaodong Chen, Chengbin Deng, Juan Camilo Parra Toro, Meihong Ma, and Yang Hong

Abstract. Flash floods develop within minutes to hours, occur mainly in small to medium-sized watersheds, and are documented through scattered sources such as news reports, social media, stream gauges, operational storm events databases, and post-flood field surveys. Such fragmentation historically limits flash flood research advances and model evaluation or intercomparisons. We present TORRENT (the Traceable, Observation-constrained, Rapid-Response, Episode–gauge–watershed Network of Testbeds), a benchmark-ready community dataset of flash-flood hydrological response in the contiguous United States (CONUS). Each testbed links one reported NOAA/NCEI flash-flood episode, one U.S. Geological Survey (USGS) stream gauge, and the gauge’s contributing watershed, combining the observed discharge hydrograph—the primary benchmark target—with watershed boundaries, temporally screened in-basin high-water marks, and quality-control metadata; full packages additionally provide Multi-Radar Multi-Sensor (MRMS) precipitation forcing and auxiliary gridded products. TORRENT follows a three-level structure distinguishing what was reported, what observations are available, and what can be evaluated reproducibly: a national inventory of 42,466 reported episodes for 1996–2025; observation-availability documentation for 5,424 recent CONUS episodes during 2021–2025, including episodes without usable external observations; and 806 episode–gauge–watershed evaluation packages representing 160 episodes and 208 gauges. Each Level-3 package has a retrievable watershed, at least one in-basin high-water mark meeting the stated temporal-screening criterion, and a detected discharge response. Flash-flood-response screening, deduplication, in-basin NCEI corroboration, station-relative severity screening, and post-selection curation yield a conservative primary benchmark of 21 testbeds representing 14 episodes and 21 gauges. This primary set is intended as a high-confidence reference for formal rainfall–runoff model intercomparison rather than as a statistically representative sample of CONUS flash floods; the broader Level-3 pool supports exploratory analysis and robustness testing. Primary testbeds exhibit rapid, pronounced responses, with estimated event-peak return periods ranging from about 2 to more than 100 years. The automated construction and screening stages are released as deterministic, re-runnable code, together with documented curation decisions, sensitivity tests, and quality-control diagnostics. TORRENT is openly available at https://doi.org/10.5281/zenodo.23359069 (Yan et al., 2026).

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Songkun Yan, Mengye Chen, Jonathan J. Gourley, Jian Zhang, Günter Blöschl, Paul Bates, Zhi Li, Siyu Zhu, Abigail Snooks, Yixin Wen, Xiaodong Chen, Chengbin Deng, Juan Camilo Parra Toro, Meihong Ma, and Yang Hong

Status: open (until 22 Nov 2026)

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Songkun Yan, Mengye Chen, Jonathan J. Gourley, Jian Zhang, Günter Blöschl, Paul Bates, Zhi Li, Siyu Zhu, Abigail Snooks, Yixin Wen, Xiaodong Chen, Chengbin Deng, Juan Camilo Parra Toro, Meihong Ma, and Yang Hong

Data sets

TORRENT: a benchmark-ready flash-flood dataset for the contiguous United States Songkun Yan, Yang Hong, and Meihong Ma https://doi.org/10.5281/zenodo.23359069

Songkun Yan, Mengye Chen, Jonathan J. Gourley, Jian Zhang, Günter Blöschl, Paul Bates, Zhi Li, Siyu Zhu, Abigail Snooks, Yixin Wen, Xiaodong Chen, Chengbin Deng, Juan Camilo Parra Toro, Meihong Ma, and Yang Hong
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Latest update: 16 Oct 2026
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Short summary
Flash floods develop quickly, but the records needed to study them are scattered across many sources. We created TORRENT by linking flood reports, rainfall, river flow, drainage-area information, and field measurements across the contiguous United States. It contains 42 466 reported events and 806 ready-to-use case packages, including 21 carefully checked cases. Its open, machine-readable design will help people and artificial intelligence tools study floods and compare prediction methods.
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