Yangtze River Streamflow and Water Storage Anomalies, 2000-2023

Streamflow records from 2000 to 2023 for the Yangtze River, supporting research on flooding. The dataset includes data from 92 river gage stations, featuring annual maximum events for precipitation, CSR5d, and streamflow. Alexander Y. Sun from The University of Texas at Austin compiled this data for a manuscript submission.

Use Cases

• Modeling flood risk based on streamflow and precipitation time series for 92 gages.
• Analyzing the mediating role of total water storage anomalies (CSR5d) in regional flooding events.
• Studying annual maximum event correlations between precipitation, CSR5d, and streamflow.
• Validating hydrological models using long-term (2000-2023) station records from Hankou and Yichang.

Strengths

• Includes a 24-year time series of streamflow data from 2000 to 2023.
• Covers 92 river gage stations for basin-wide analysis.
• Provides multiple correlated variables: precipitation, CSR5d, and streamflow for each gage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

The University of Texas at Austin, Alexander Y. Sun

Collection Method

Extracted from Yangtze River stations; data format is Python pickle.

Time Range

2000 to 2023

Geography

Yangtze River Basin, specifically stations at Hankou and Yichang