Homogenization of Hungarian daily wind speed data series

Csilla Péliné Németh, Judit Bartholy, Rita Pongrácz

Research output: Contribution to journalArticle

6 Citations (Scopus)


Reliable long time series have key role in climatological research. Long term observations involve inhomogeneities due to change of measuring methods, sensors, surroundings of stations, or moving into a new location. Therefore, homogenization is necessary in order to make reliable analysis of datasets. In this study, the MASH (Multiple Analysis of Series for Homogenization) procedure developed at the Hungarian Meteorological Service was applied to improve our wind time series. Daily wind datasets were homogenized at 19 Hungarian synoptic stations in the period from 1975 to 2012. This paper discusses the validation of the homogenization process and presents the quality control results.

Original languageEnglish
Pages (from-to)119-132
Number of pages14
Issue number2
Publication statusPublished - 2014


  • Homogenization
  • Hungarian wind climate
  • Mash application
  • Measurement automation
  • Wind speed

ASJC Scopus subject areas

  • Atmospheric Science

Fingerprint Dive into the research topics of 'Homogenization of Hungarian daily wind speed data series'. Together they form a unique fingerprint.

  • Cite this