Preprints
https://doi.org/10.5194/essd-2026-426
https://doi.org/10.5194/essd-2026-426
19 Jun 2026
 | 19 Jun 2026
Status: this preprint is currently under review for the journal ESSD.

Extending Daily River Discharge Records Across China Using Satellite-Derived River Widths

Yong Wang, Yulin Gong, Yinghong Jing, Xiaojun She, and Yao Li

Abstract. Long-term monitoring of global river discharge has been hindered by the uneven distribution of gauging stations and limited data accessibility, a challenge that is particularly acute in China. Although China contains one of the world’s densest river networks, high-frequency in situ discharge observations remain largely unavailable in the international public domain. To address this gap, we compiled daily discharge records from 1,196 gauges across China, comprising approximately 2.33 million observations – 39 times as many gauges as are currently available for the region in the Global Runoff Data Centre (GRDC). Leveraging this unprecedented collection of in situ discharge records, along with river width time series derived from Landsat and Sentinel-2 imagery and gauge-specific hydraulic geometry relationships, we reconstructed and extended daily river discharge observations for 310 gauges from 1990 to 2024, resulting in the China Daily River Discharge Records (CDR2) dataset. Compared with existing global satellite-derived discharge products, CDR2 increases the number of available gauges in China by at least fivefold. It achieves substantially improved performance, with a median Kling–Gupta efficiency of 0.66 during validation. Sensitivity analyses further indicate that discharge estimation accuracy increases markedly with greater river width variability and stronger hydraulic sensitivity. Trend analysis reveals that nearly 65% of gauges exhibit declining discharge over 1990–2024, with a median relative trend of −0.21%/yr, most pronounced in the Haihe, Liaohe, Yellow River, and middle Yangtze River basins. As the most extensive satellite-derived, gauge-constrained daily discharge dataset currently available for China, CDR2 bridges a critical geographic gap in global river monitoring and provides a valuable benchmark for future discharge estimation, hydrological studies, and satellite calibration efforts.

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Yong Wang, Yulin Gong, Yinghong Jing, Xiaojun She, and Yao Li

Status: open (until 26 Jul 2026)

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Yong Wang, Yulin Gong, Yinghong Jing, Xiaojun She, and Yao Li

Data sets

China Daily River Discharge Records (CDR²) dataset Yong Wang & Yao Li https://doi.org/10.5281/zenodo.20152832

Yong Wang, Yulin Gong, Yinghong Jing, Xiaojun She, and Yao Li
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Latest update: 19 Jun 2026
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Short summary
Rivers are vital sources of freshwater, but long-term records of how much water they carry are unavailable for many regions. This study combined satellite imagery with observations from more than 1,000 river gauges to create the most comprehensive daily river discharge dataset for China (1990–2024). The dataset reveals widespread declines in river discharge across much of the country and provides an important resource for water management, environmental research, and future satellite missions.
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