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Evaluation of the homogenization adjustments applied to european temperature records in the global historical climatology network dataset

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00555991" target="_blank" >RIV/86652079:_____/22:00555991 - isvavai.cz</a>

  • Alternative codes found

    RIV/00020699:_____/22:N0000018

  • Result on the web

    <a href="https://www.mdpi.com/2073-4433/13/2/285" target="_blank" >https://www.mdpi.com/2073-4433/13/2/285</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/atmos13020285" target="_blank" >10.3390/atmos13020285</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of the homogenization adjustments applied to european temperature records in the global historical climatology network dataset

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10510 - Climatic research

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000797" target="_blank" >EF16_019/0000797: SustES - Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Atmosphere

  • ISSN

    2073-4433

  • e-ISSN

    2073-4433

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    21

  • Pages from-to

    285

  • UT code for WoS article

    000763940000001

  • EID of the result in the Scopus database

    2-s2.0-85124677585