EMS Annual Meeting Abstracts
Vol. 23, EMS2026-763, 2026, updated on 22 Jun 2026
https://doi.org/10.5194/ems2026-763
EMS Annual Meeting 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 08 Sep, 16:30–18:00 (CEST), Display time Monday, 07 Sep, 08:00–Tuesday, 08 Sep, 18:00| TransitZone, P114
Wind direction homogenization with MASH software
Kinga Bokros1,2, Beatrix Izsák1, Mónika Lakatos1, and Rita Pongrácz3
Kinga Bokros et al.
  • 1HungaroMet Hungarian Meteorological Service, Department of Climate Research, Budapest, Hungary (bokros.k@met.hu)
  • 2ELTE Eötvös Loránd University, Faculty of Science, Doctoral School of Earth Sciences, Budapest, Hungary
  • 3ELTE Eötvös Loránd University, Institute of Geography and Earth Sciences, Department of Meteorology, Budapest, Hungary

Our temperature, precipitation, wind speed, humidity, global radiation and air pressure data sets, homogenized with the MASH software, are systematically renewed annually at the Climate Research Department of HungaroMet Hungarian Meteorological Service. Likewise, our wind direction database is updated every year. In this poster, we will explain the steps of homogenizing wind direction. However, it should be taken into account that we are not talking about a scalar, but a vector quantity, so wind direction must be treated consistently together with wind speed. The combined homogenization of daily wind speed and wind direction is solved with the MASH method, the mathematical background of which ensures the success robustness of the homogenization procedure.

High-quality wind direction datasets are essential for climate research, energy planning, and risk assessment. In Hungary, a homogenized, completed and quality-controlled wind direction database covering the period from 1997 to the present has supported numerous climatological analyses. We aim to extend this database both temporally (back to 1961 and forward to 2024) and spatially (from 89 to 127 stations), in order to improve long-term trend analysis and regional representativeness. The extended dataset is expected to provide a more consistent basis for analysing prevailing wind patterns and their long-term variability across Hungary. Through systematic homogenization and quality control, the project provides a consistent, high-resolution dataset for scientific and operational use.

Acknowledgement:
The present study was carried out within the framework of the EKÖP-KDP-24 University Excellence Scholarship Program Cooperative Doctoral Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation fund.

How to cite: Bokros, K., Izsák, B., Lakatos, M., and Pongrácz, R.: Wind direction homogenization with MASH software, EMS Annual Meeting 2026, Utrecht, Netherlands, 6–11 Sep 2026, EMS2026-763, https://doi.org/10.5194/ems2026-763, 2026.