Li et al. (2026) Rainfall-to-total precipitation proportion increased after bias correction over China from 1961 to 2022

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Environmental Research Letters
• Year: 2026
• Date: 2026-07-24
• Authors: Yun Li, Kaicun Wang
• DOI: 10.1088/1748-9326/ae8fec

Research Groups

• National Meteorological Information Center of China
• Institute of Atmospheric Physics, Chinese Academy of Sciences

Short Summary

This study corrects wind-induced errors in long-term precipitation records from 2300 meteorological stations across China for the period 1961–2022, revealing new trends in rainfall-to-total precipitation ratios under a changing climate.

Objective

• Investigate the impact of wind-induced errors on long-term precipitation records and correct these errors to reveal accurate national precipitation patterns.

Study Configuration

• Spatial Scale: National scale across China.
• Temporal Scale: 1961–2022, with corrections applied in separate periods for rainfall and snowfall records.

Methodology and Data

• Models used: None mentioned; corrections based on systematic analysis of wind-induced errors.
• Data sources: Gauge observations from about 2300 meteorological stations across China.

Main Results

• National mean annual precipitation, rainfall, and snowfall increased after correction (854 mm, 810 mm, and 40 mm, respectively).
• The national mean rainfall-to-total-precipitation ratio showed an increasing trend (0.21% per decade) after correction.
• Similar trend reversal observed in Northwest and Northeast China.

Contributions

• This study provides important insights into national precipitation patterns under a changing climate by correcting wind-induced errors in long-term records.
• Reveals new trends in rainfall-to-total precipitation ratios across China, which can inform climate change research and decision-making.

Funding

• Not specified; likely funded by the National Meteorological Information Center of China or other relevant government agencies.

Citation

@article{Li2026Rainfalltototal,
  author = {Li, Yun and Wang, Kaicun},
  title = {Rainfall-to-total precipitation proportion increased after bias correction over China from 1961 to 2022},
  journal = {Environmental Research Letters},
  year = {2026},
  doi = {10.1088/1748-9326/ae8fec},
  url = {https://doi.org/10.1088/1748-9326/ae8fec}
}