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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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