Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland

Accurate long-term daily maximum and minimum air temperature series are needed to assess the frequency, intensity, distribution, and duration of extreme climatic events. However, quality control and homogenisation procedures are required to minimise errors and inhomogeneities in climate series befor...

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Autores principales:	Carla Mateus, Aaron Potito
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	historical climatology station metadata quality control homogenisation Ireland Science Q
Acceso en línea:	https://doaj.org/article/acf4d39525ff44ecb059b49e9d204cca
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spelling	oai:doaj.org-article:acf4d39525ff44ecb059b49e9d204cca2021-11-25T17:15:19ZDevelopment of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland10.3390/cli91101582225-1154https://doaj.org/article/acf4d39525ff44ecb059b49e9d204cca2021-10-01T00:00:00Zhttps://www.mdpi.com/2225-1154/9/11/158https://doaj.org/toc/2225-1154Accurate long-term daily maximum and minimum air temperature series are needed to assess the frequency, intensity, distribution, and duration of extreme climatic events. However, quality control and homogenisation procedures are required to minimise errors and inhomogeneities in climate series before the commencement of climate data analysis. A semi-automatic quality control procedure consisting of climate consistency, internal consistency, day-to-day step-change, and persistency tests was applied for 12 long-term series registered in Ireland from 1831–1968, Armagh Observatory (Northern Ireland) from 1844–2018, and for 21 short-term series dating to the mid-19th century. There were 976,786 observations quality-controlled, and 27,854 (2.9%) values flagged. Of the flagged records, 98.5% (n = 27,446) were validated, 1.4% (n = 380) corrected and 0.1% (n = 28) deleted. The historical long-term quality-controlled series were merged with the modern series quality-controlled by Met Éireann and homogenised using the software MASHv3.03 in combination with station metadata for 1885–2018. The series presented better homogenisation outcomes when homogenised as part of smaller regional networks rather than as a national network. The homogenisation of daily, monthly, seasonal, and annual series improved for all stations, and the homogenised records showed stronger correlations with the Central England long-term temperature series.Carla MateusAaron PotitoMDPI AGarticlehistorical climatologystation metadataquality controlhomogenisationIrelandScienceQENClimate, Vol 9, Iss 158, p 158 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	historical climatology station metadata quality control homogenisation Ireland Science Q
spellingShingle	historical climatology station metadata quality control homogenisation Ireland Science Q Carla Mateus Aaron Potito Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland
description	Accurate long-term daily maximum and minimum air temperature series are needed to assess the frequency, intensity, distribution, and duration of extreme climatic events. However, quality control and homogenisation procedures are required to minimise errors and inhomogeneities in climate series before the commencement of climate data analysis. A semi-automatic quality control procedure consisting of climate consistency, internal consistency, day-to-day step-change, and persistency tests was applied for 12 long-term series registered in Ireland from 1831–1968, Armagh Observatory (Northern Ireland) from 1844–2018, and for 21 short-term series dating to the mid-19th century. There were 976,786 observations quality-controlled, and 27,854 (2.9%) values flagged. Of the flagged records, 98.5% (n = 27,446) were validated, 1.4% (n = 380) corrected and 0.1% (n = 28) deleted. The historical long-term quality-controlled series were merged with the modern series quality-controlled by Met Éireann and homogenised using the software MASHv3.03 in combination with station metadata for 1885–2018. The series presented better homogenisation outcomes when homogenised as part of smaller regional networks rather than as a national network. The homogenisation of daily, monthly, seasonal, and annual series improved for all stations, and the homogenised records showed stronger correlations with the Central England long-term temperature series.
format	article
author	Carla Mateus Aaron Potito
author_facet	Carla Mateus Aaron Potito
author_sort	Carla Mateus
title	Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland
title_short	Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland
title_full	Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland
title_fullStr	Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland
title_full_unstemmed	Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland
title_sort	development of a quality-controlled and homogenised long-term daily maximum and minimum air temperature network dataset for ireland
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/acf4d39525ff44ecb059b49e9d204cca
work_keys_str_mv	AT carlamateus developmentofaqualitycontrolledandhomogenisedlongtermdailymaximumandminimumairtemperaturenetworkdatasetforireland AT aaronpotito developmentofaqualitycontrolledandhomogenisedlongtermdailymaximumandminimumairtemperaturenetworkdatasetforireland
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Development of a Quality-Controlled and Homogenised Long-Term Daily Maximum and Minimum Air Temperature Network Dataset for Ireland

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