Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results.

ACMANT AHOPS CLIMATOL HOMER Ireland break detection homogenization precipitation

Journal

International journal of climatology : a journal of the Royal Meteorological Society
ISSN: 0899-8418
Titre abrégé: Int J Climatol
Pays: England
ID NLM: 101661767

Informations de publication

Date de publication:
30 Nov 2020
Historique:
received: 21 12 2018
revised: 24 03 2020
accepted: 25 03 2020
entrez: 7 12 2020
pubmed: 8 12 2020
medline: 8 12 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33281282
doi: 10.1002/joc.6575
pii: JOC6575
pmc: PMC7687140
doi:

Types de publication

Journal Article

Langues

eng

Pagination

6169-6188

Informations de copyright

© 2020 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society.

Références

Biostatistics. 2011 Jul;12(3):413-28
pubmed: 21209153
Wiley Interdiscip Rev Clim Change. 2014 Sep;5(5):587-603
pubmed: 25798197

Auteurs

John Coll (J)

Irish Climate Analysis and Research Units, Department of Geography Maynooth University Maynooth Ireland.

Peter Domonkos (P)

Centre for Climate Change (C3) Universitat Rovira i Virgili Tortosa Spain.

José Guijarro (J)

Agencia Estatal de Meteorologia Delegación Territorial en Illes Balears Palma, Mallorca Spain.

Mary Curley (M)

Climatology and Observations Division Met Éireann Dublin Ireland.

Elke Rustemeier (E)

Department of Hydrometeorology Deutscher Wetterdienst Offenbach Germany.

Enric Aguilar (E)

Centre for Climate Change (C3) Universitat Rovira i Virgili Tarragona Spain.

Séamus Walsh (S)

Climatology and Observations Division Met Éireann Dublin Ireland.

John Sweeney (J)

Irish Climate Analysis and Research Units, Department of Geography Maynooth University Maynooth Ireland.

Classifications MeSH