4.5 Article

Evaluation of the Homogenization Adjustments Applied to European Temperature Records in the Global Historical Climatology Network Dataset

期刊

ATMOSPHERE
卷 13, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/atmos13020285

关键词

temperature homogenization; non-climatic biases; station metadata; climate change; European temperature changes

资金

  1. Center for Environmental Research and Earth Sciences (CERES)
  2. NCN [DEC 2020/37/B/ST10/00710]
  3. Nicolaus Copernicus University-Emerging field: Global Environmental Changes
  4. project SustES-Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions [CZ.02.1.01/0.0/0.0/16_019/0000797]

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This study examines the consistency of breakpoints and adjustments in the homogenized GHCN dataset and finds significant inconsistencies. Some breakpoints correspond to documented station history metadata events, but most breakpoints do not have any associated events. Therefore, while the Pairwise Homogenization Algorithm (PHA) remains a useful tool, many of the adjustments applied to the GHCN dataset may be spurious.
The widely used Global Historical Climatology Network (GHCN) monthly temperature dataset is available in two formats-non-homogenized and homogenized. Since 2011, this homogenized dataset has been updated almost daily by applying the Pairwise Homogenization Algorithm (PHA) to the non-homogenized datasets. Previous studies found that the PHA can perform well at correcting synthetic time series when certain artificial biases are introduced. However, its performance with real world data has been less well studied. Therefore, the homogenized GHCN datasets (Version 3 and 4) were downloaded almost daily over a 10-year period (2011-2021) yielding 3689 different updates to the datasets. The different breakpoints identified were analyzed for a set of stations from 24 European countries for which station history metadata were available. A remarkable inconsistency in the identified breakpoints (and hence adjustments applied) was revealed. Of the adjustments applied for GHCN Version 4, 64% (61% for Version 3) were identified on less than 25% of runs, while only 16% of the adjustments (21% for Version 3) were identified consistently for more than 75% of the runs. The consistency of PHA adjustments improved when the breakpoints corresponded to documented station history metadata events. However, only 19% of the breakpoints (18% for Version 3) were associated with a documented event within 1 year, and 67% (69% for Version 3) were not associated with any documented event. Therefore, while the PHA remains a useful tool in the community's homogenization toolbox, many of the PHA adjustments applied to the homogenized GHCN dataset may have been spurious. Using station metadata to assess the reliability of PHA adjustments might potentially help to identify some of these spurious adjustments.

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