Guo et al. (2026) Spatiotemporal characteristics of extreme precipitation indices and their associations with large-scale climate teleconnections in the Yellow River Basin, China

Identification

• Journal: Journal of Hydrology Regional Studies
• Year: 2026
• Date: 2026-09-22
• Authors: Yuhong Guo, Yunkun Song, Xiaodong Yan
• DOI: 10.1016/j.ejrh.2026.103947

Research Groups

• State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
• College of Tourism and Resources Environment, Zaozhuang University, Zaozhuang, 277160, China

Short Summary

This study investigates the spatiotemporal characteristics of extreme precipitation indices (EPIs) in the Yellow River Basin (YRB), China, and their associations with large-scale climate teleconnections. The results show that EPIs have intensified and become more frequent over the past six decades, with a shift toward more concentrated and extreme rainfall events.

Objective

• Investigate the spatiotemporal characteristics of nine EPIs in the YRB.
• Explore the relationships between EPIs and large-scale climate circulation factors using Ensemble Empirical Mode Decomposition (EEMD).
• Identify the dominant atmospheric circulation mechanisms responsible for multiscale variations in precipitation extremes.

Study Configuration

• Spatial Scale: The study focuses on the Yellow River Basin, China, with a spatial resolution of 0.25° × 0.25°.
• Temporal Scale: The analysis covers the period from 1961 to 2021.

Methodology and Data

• Models used: Ensemble Empirical Mode Decomposition (EEMD) was applied to analyze the temporal variability of EPIs.
• Data sources: Daily precipitation data were obtained from the CN05.1 gridded observational dataset, while large-scale climate teleconnection indices were downloaded from the NOAA Physical Sciences Laboratory.

Main Results

• The results show that CDD and CWD exhibited highly significant decreasing trends, while most other precipitation indices showed upward tendencies.
• The analysis of summer precipitation extremes (R95p) and total precipitation (PRCPTOT) revealed distinct temporal shifts over the study period.
• EEMD decomposition identified interannual-to-decadal cycles in EPIs, with dominant periodicities ranging from 1.5 to 70 years.

Contributions

• This study provides new insights into the spatiotemporal characteristics of extreme precipitation indices and their associations with large-scale climate teleconnections in the YRB.
• The results improve our understanding of the climatic controls on precipitation extremes and provide scientific support for water resources management and climate adaptation in the region.

Funding

• This research was supported by the National Natural Science Foundation of China (Grant No. 42171001) and the Beijing Municipal Science & Technology Commission (Grant No. Z191100001119000).

Citation

@article{Guo2026Spatiotemporal,
  author = {Guo, Yuhong and Song, Yunkun and Yan, Xiaodong},
  title = {Spatiotemporal characteristics of extreme precipitation indices and their associations with large-scale climate teleconnections in the Yellow River Basin, China},
  journal = {Journal of Hydrology Regional Studies},
  year = {2026},
  doi = {10.1016/j.ejrh.2026.103947},
  url = {https://doi.org/10.1016/j.ejrh.2026.103947}
}