Author, as appears in the article.: Coll J; Domonkos P; Guijarro J; Curley M; Rustemeier E; Aguilar E; Walsh S; Sweeney J
Department: Geografia
URV's Author/s: Aguilar Anfrons, Enrique Modesto / DOMONKOS, PÉTER
Keywords: Time-series Precipitation Ireland Inhomogeneities Homogenization Homogeneity Homer Efficiency Daily temperature Climatol Climate data Changepoint detection Central pyrenees Break detection Benchmarking Algorithms Ahops Acmant
Abstract: © 2020 Royal Meteorological Society Time series homogenization for 299 of the available precipitation records for the island of Ireland (IENet) was performed. Four modern relative homogenization methods, that is, HOMER, ACMANT, CLIMATOL and AHOPS were applied to this network of station series where contiguous intact monthly records range from 30 to 70 years within the base period 1941–2010. Break detection results are compared between homogenization methods, and coincidences with available documentary information (metadata) were analysed. The lowest (highest) number of breaks were detected with HOMER (ACMANT). Large differences of break frequency were found, namely ACMANT and AHOPS detected 8 times as many breaks than HOMER, while the break frequency with CLIMATOL was intermediate. Also, the ratio of series classified to be homogeneous varies widely between the methods. It is 85% with HOMER, 60% with CLIMATOL, 31% with AHOPS, while only 22% with ACMANT. In a further experiment, all the available time series for Ireland and Northern Ireland, (910 series) were used with ACMANT and CLIMATOL to explore the stability of break frequency for the same 299 series examined in the base experiment. While overall break frequency slightly increased (by 6–13%), the break positions notably changed for individual time series. The number of breaks changed for 59% (23%) of the series with ACMANT (CLIMATOL). For the breaks detected coincidentally by at least three methods including ACMANT and CLIMATOL in the base experiment, the second experiment confirmed the break positions in 86–87% of the breaks. The consequences of these results in relation to the reliability of statistical homogenization are discussed. Sometimes markedly different step functions provide comparable good approaches. However, the accuracy of homogenized time series cannot be related directly to the instability of break detection results.
Research group: Centre en Canvi Climàtic (C3)
Thematic Areas: Planejamento urbano e regional / demografia Meteorology & atmospheric sciences Interdisciplinar Geociências Engenharias iii Engenharias i Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade Atmospheric science
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 08998418
Author's mail: enric.aguilar@urv.cat
Author identifier: 0000-0002-8384-377X
Record's date: 2023-02-22
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.6575
Papper original source: International Journal Of Climatology. 40 (14): 6169-6188
APA: Coll J; Domonkos P; Guijarro J; Curley M; Rustemeier E; Aguilar E; Walsh S; Sweeney J (2020). Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results. International Journal Of Climatology, 40(14), 6169-6188. DOI: 10.1002/joc.6575
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1002/joc.6575
Entity: Universitat Rovira i Virgili
Journal publication year: 2020
Publication Type: Journal Publications
Repositori URV