Bokros et al. (2025) Homogenisation of Wind Data for the Period 1997–2023 in Hungary and Analysis of Different Methods Used for Deriving Daily Wind Data

⚠️ 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: 2025-11-23
• Authors: Kinga Bokros, Beatrix Izsák, Mónika Lakatos, Rita Pongrácz
• DOI: 10.1002/joc.70198

Research Groups

Not explicitly stated in the abstract, but implies involvement of national meteorological services or research institutions in Hungary responsible for climatological data.

Short Summary

This research homogenised automatic 10-minute wind speed measurements (1997–2023) from 40 Hungarian meteorological stations and compared them with simulated three-times-daily observations to quantify differences and enable integration with pre-1997 data for long-term climatological analyses.

Objective

• To investigate and quantify the differences between automatic 10-minute wind speed measurements and simulated three-times-daily observations in Hungary (1997–2023) to homogenise the data and facilitate the integration of pre-1997 observations into modern databases for continuous climatological studies.

Study Configuration

• Spatial Scale: 40 meteorological stations across Hungary.
• Temporal Scale: 1997–2023 for the primary analysis period, with the goal of integrating pre-1997 data.

Methodology and Data

• Models used: MASH software (for homogenisation), MISH meteorological interpolation software.
• Data sources: Automatic 10-minute wind speed measurements (1997–2023), simulated three-times-daily wind speed observations (1997–2023).

Main Results

• The study successfully quantified the differences between the two wind speed datasets (automatic 10-minute vs. simulated three-times-daily observations) in both time and space.
• These findings provide a crucial foundation for integrating pre-1997 wind observations into modern climatological databases, ensuring continuity and reliability for long-term analyses.

Contributions

• This study represents the first comprehensive homogenisation and comparison of wind speed measurements from two different methods in Hungary.
• It systematically addresses a previously unaddressed issue, providing a critical foundation for integrating historical wind observations into modern climatological databases.

Funding

Not mentioned in the provided abstract.

Citation

@article{Bokros2025Homogenisation,
  author = {Bokros, Kinga and Izsák, Beatrix and Lakatos, Mónika and Pongrácz, Rita},
  title = {Homogenisation of Wind Data for the Period 1997–2023 in Hungary and Analysis of Different Methods Used for Deriving Daily Wind Data},
  journal = {International Journal of Climatology},
  year = {2025},
  doi = {10.1002/joc.70198},
  url = {https://doi.org/10.1002/joc.70198}
}