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Reconstruction of a long‐term historical daily maximum and minimum air temperature network dataset for Ireland (1831‐1968)

Geoscience data journal, 2020-11, Vol.7 (2), p.102-115 [Peer Reviewed Journal]

2020 The Authors. published by Royal Meteorological Society and John Wiley & Sons Ltd. ;2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2049-6060 ;EISSN: 2049-6060 ;DOI: 10.1002/gdj3.92

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  • Title:
    Reconstruction of a long‐term historical daily maximum and minimum air temperature network dataset for Ireland (1831‐1968)
  • Author: Mateus, Carla ; Potito, Aaron ; Curley, Mary
  • Subjects: 19th century ; Air temperature ; Archives & records ; Climate change ; climate data rescue ; Climate variability ; Daily ; Datasets ; Geographical distribution ; Handwriting ; Homogenization ; Instrumentation ; Irish temperature ; Keying ; long‐term instrumental series ; Metadata ; Observatories ; Open access ; pre‐1850 instrumental series ; Quality control ; Rain ; Registers (air circulation) ; Site location ; station metadata ; Surgeons ; Weather
  • Is Part Of: Geoscience data journal, 2020-11, Vol.7 (2), p.102-115
  • Description: The extension of spatial and temporal coverage of digital daily maximum and minimum air temperature observations is indispensable for a greater understanding of past climate variability. Long‐term series are fundamental for the assessment of frequency, duration, intensity and geographical distribution of past extreme air temperature events at local and regional scales in Ireland. Raw daily observations from 12 long‐term and 21 short‐term maximum and minimum air temperature series in Ireland, extending from 1831 to 1968, were rescued from multiple archives. Detailed station metadata on instrumentation, site location, observation practices and observer's notes are included in the dataset. Over 970,000 daily maximum and minimum air temperature observations were transcribed from handwritten meteorological registers, publications, newspapers and the Daily Weather Report. The data rescue strategies, sources for data and metadata rescue, and methodologies for double keying are discussed. The Ireland Long‐term Maximum and Minimum Air Temperature dataset (ILMMT) format for daily air temperature and metadata and organization is reviewed. The ILMMT dataset comprises raw observations and detailed station metadata, so data users can apply their selected quality control and homogenization approaches. Raw daily observations from 12 long‐term and 21 short‐term maximum and minimum air temperature series in Ireland, extending from 1831 to 1968, and related metadata are available in the Ireland Long‐term Maximum and Minimum Air Temperature dataset (ILMMT). Open access to unexplored and geographically well‐distributed daily maximum and minimum air temperature series and related detailed metadata through the ILMNT dataset will fill key gaps in climate research for Ireland, Europe and worldwide.
  • Publisher: Bognor Regis: John Wiley & Sons, Inc
  • Language: English
  • Identifier: ISSN: 2049-6060
    EISSN: 2049-6060
    DOI: 10.1002/gdj3.92
  • Source: Open Access: Wiley Blackwell Open Access Journals
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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