Yu et al. (2025) A Novel Quality Control Framework for Long‐Term Hourly Sunshine Duration Data in China

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

Identification

• Journal: International Journal of Climatology
• Year: 2025
• Date: 2025-09-24
• Authors: Yu Yu, Yan Xu, Zhihua Ren
• DOI: 10.1002/joc.70123

Research Groups

Not specified in the abstract.

Short Summary

This study develops a systematic four-step quality control framework to enhance the reliability of historical hourly sunshine duration data across China from 1951 to 2023, effectively identifying and flagging significant data errors linked to historical digitization limitations and improving data quality for solar energy and climate studies.

Objective

• To develop a systematic quality control (QC) framework to enhance the reliability of historical hourly sunshine duration (SSD) data across China during 1951–2023, considering the characteristics of SSD and related meteorological elements observed from surface stations.

Study Configuration

• Spatial Scale: National scale across China, with analysis at station and regional levels.
• Temporal Scale: Long-term historical period from 1951 to 2023, with data analyzed at hourly, daily, and monthly resolutions.

Methodology and Data

• Models used: A four-step quality control (QC) framework integrating:
  1. Consistency checks with daily SSD.
  2. Plausible range verification.
  3. Temporal alignment with theoretical sunrise and sunset times.
  4. Integrated spatial and cross-element consistency assessments.
• Data sources: Historical hourly sunshine duration (SSD) data and related meteorological elements (cloud cover, ground surface temperature variation, precipitation duration) observed from surface stations across China.

Main Results

• The QC framework identified 4467 station-months with erroneous zero SSD values, primarily between 1951 and 2000.
• Approximately 357,500 days were found to exceed theoretical sunlight hours, predominantly in the pre-1980 period, highlighting critical data gaps.
• Spatial consistency checks revealed regional anomalies, with data coverage exceeding 90% post-1960.
• Cross-element checks demonstrated strong correlations between sunshine percentage (SSP) and cloud cover.
• The framework successfully assigned QC flags to classify data quality, achieving robust validation of the dataset.
• Results underscore the necessity of multi-element verification, particularly in addressing sparse station coverage in early decades.

Contributions

• Addresses significant data quality issues in historical Chinese sunshine duration records, enhancing their reliability for solar energy assessments, climate modeling, and ecosystem studies.
• Provides a transferable and systematic quality control framework applicable to improving solar radiation datasets in other regions facing similar observational challenges.
• Highlights the critical importance of multi-element verification, especially for historical meteorological datasets with sparse station coverage and digitization limitations.

Funding

Not specified in the abstract.

Citation

@article{Yu2025Novel,
  author = {Yu, Yu and Xu, Yan and Ren, Zhihua},
  title = {A Novel Quality Control Framework for Long‐Term Hourly Sunshine Duration Data in China},
  journal = {International Journal of Climatology},
  year = {2025},
  doi = {10.1002/joc.70123},
  url = {https://doi.org/10.1002/joc.70123}
}