Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadata
Errors are inherent in all measurement activity, and meteorology is no exception. Homogenization of climatological series to eliminate disturbances often contained in them, due to changes in the conditions of observations, is a mandatory process to increase the reliability of studies of climate vari...
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| Format: | Article |
| Language: | English |
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Cluj University Press
2017-03-01
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| Series: | Aerul şi Apa: Componente ale Mediului |
| Subjects: | |
| Online Access: | http://aerapa.conference.ubbcluj.ro/2017/PDF/7_TUDORACHE_etal_50_57.pdf |
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| author | G. S. TUDORACHE Nicoleta IONAC A. DUMITRESCU Ancuța MANEA |
| author_facet | G. S. TUDORACHE Nicoleta IONAC A. DUMITRESCU Ancuța MANEA |
| author_sort | G. S. TUDORACHE |
| collection | DOAJ |
| description | Errors are inherent in all measurement activity, and meteorology is no exception. Homogenization of climatological series to eliminate disturbances often contained in them, due to changes in the conditions of observations, is a mandatory process to increase the reliability of studies of climate variability derived from their analysis. The “Climatol” R package is devoted to the problem of homogenizing climatological data series in order to remove the perturbations produced e.g. by changes in the conditions of observation or in the nearby environment, to allow the series to reflect the climatic variations. As it is known, changes in the location of meteorological observatories, changes in instrumentation (from classic equipment to automated sensors) or in shelters intended to protect sensors from solar radiation, or even changes in the environment (land uses, new constructions, etc.) are alterations that can not be attributed to changes in the climate. Such information regarding this changes are known as “metadata”. In this paper the “Climatol” method was used for air temperature, relative air humidity, precipitation and wind daily data homogenization for the period since 1961 till 2015 at Cluj-Napoca, Oradea, Satu Mare and Vlădeasa 1800 meteorological stations. With the help of metadata, the results were validated and changes in statistical parameters of meteorological data string were identified, for the analysed meteorological parameters, due to the relocation of the meteorological platforms, changes of the meteorological equipment and changes of the measuring methodology. |
| first_indexed | 2024-03-09T08:05:46Z |
| format | Article |
| id | doaj.art-b299661350054080a99e03c78e33c6a1 |
| institution | Directory Open Access Journal |
| issn | 2067-743X |
| language | English |
| last_indexed | 2024-03-09T08:05:46Z |
| publishDate | 2017-03-01 |
| publisher | Cluj University Press |
| record_format | Article |
| series | Aerul şi Apa: Componente ale Mediului |
| spelling | doaj.art-b299661350054080a99e03c78e33c6a12023-12-03T00:14:09ZengCluj University PressAerul şi Apa: Componente ale Mediului2067-743X2017-03-0120172017505710.24193/AWC2017_07Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadataG. S. TUDORACHE0Nicoleta IONAC1A. DUMITRESCU2Ancuța MANEA3Faculty of Geography, University of Bucharest, 1 Nicolae Bălcescu Blvd., Sector 1, 010041, Bucharest, RomaniaFaculty of Geography, University of Bucharest, 1 Nicolae Bălcescu Blvd., Sector 1, 010041, Bucharest, Romania Romanian National Meteorological Administration, 97 Bucuresti - Ploiești St., Sector 1, 013686, Bucharest, Romania Romanian National Meteorological Administration, 97 Bucuresti - Ploiești St., Sector 1, 013686, Bucharest, RomaniaErrors are inherent in all measurement activity, and meteorology is no exception. Homogenization of climatological series to eliminate disturbances often contained in them, due to changes in the conditions of observations, is a mandatory process to increase the reliability of studies of climate variability derived from their analysis. The “Climatol” R package is devoted to the problem of homogenizing climatological data series in order to remove the perturbations produced e.g. by changes in the conditions of observation or in the nearby environment, to allow the series to reflect the climatic variations. As it is known, changes in the location of meteorological observatories, changes in instrumentation (from classic equipment to automated sensors) or in shelters intended to protect sensors from solar radiation, or even changes in the environment (land uses, new constructions, etc.) are alterations that can not be attributed to changes in the climate. Such information regarding this changes are known as “metadata”. In this paper the “Climatol” method was used for air temperature, relative air humidity, precipitation and wind daily data homogenization for the period since 1961 till 2015 at Cluj-Napoca, Oradea, Satu Mare and Vlădeasa 1800 meteorological stations. With the help of metadata, the results were validated and changes in statistical parameters of meteorological data string were identified, for the analysed meteorological parameters, due to the relocation of the meteorological platforms, changes of the meteorological equipment and changes of the measuring methodology.http://aerapa.conference.ubbcluj.ro/2017/PDF/7_TUDORACHE_etal_50_57.pdfhomogenizationClimatol methodmeteorological metadatastation history |
| spellingShingle | G. S. TUDORACHE Nicoleta IONAC A. DUMITRESCU Ancuța MANEA Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadata Aerul şi Apa: Componente ale Mediului homogenization Climatol method meteorological metadata station history |
| title | Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadata |
| title_full | Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadata |
| title_fullStr | Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadata |
| title_full_unstemmed | Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadata |
| title_short | Analysing the homogeneity of air temperature, relative air humidity, precipitation and wind data series using ‘Climatol’ and meteorological metadata |
| title_sort | analysing the homogeneity of air temperature relative air humidity precipitation and wind data series using climatol and meteorological metadata |
| topic | homogenization Climatol method meteorological metadata station history |
| url | http://aerapa.conference.ubbcluj.ro/2017/PDF/7_TUDORACHE_etal_50_57.pdf |
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