Trends in intraseasonal temperature variability in Europe, 1961-2018
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F22%3A00564319" target="_blank" >RIV/68378289:_____/22:00564319 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/22:10457830
Result on the web
<a href="https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.7645" target="_blank" >https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.7645</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/joc.7645" target="_blank" >10.1002/joc.7645</a>
Alternative languages
Result language
angličtina
Original language name
Trends in intraseasonal temperature variability in Europe, 1961-2018
Original language description
While long-term changes in measures of central tendency of climate elements, that is, mean temperature, are well acknowledged, studies of trends in measures of their variability are much less common. This is despite the fact that trends in variability can have higher effect on climate extremes than trends in mean. Here, four measures of intraseasonal variability are examined: (a) standard deviation of mean daily temperature, (b) the range between the 90th and 10th quantile of mean daily temperature, (c) mean absolute value of day-to-day temperature change, and (d) one-day lagged temporal autocorrelation. ECA&D daily data from 168 stations and linear regression method are utilized to calculate trends of these characteristics in period from 1961 to 2018. Significant trends (positive and negative) are revealed with substantial differences between seasons, regions and measures. The most considerable decreases in temperature variability were recorded in winter, for temporal autocorrelation in eastern Europe and for variance-based measures in northern Europe. For example, the standard deviation has decreased by more than 10% in the Arctic Ocean. This can indicate a decrease in the frequency of cold extremes in Scandinavia. On the contrary, increasing persistence may suggest a greater likelihood of cold extremes in the East European Plain. Increases in variability prevail only in summer, but not for all measures and not as clearly as decreases in winter. Trends in temporal autocorrelation and day-to-day change appear to be sensitive to data issues, such as inhomogeneities and changes in observational procedures.
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
10509 - Meteorology and atmospheric sciences
Result continuities
Project
<a href="/en/project/GA21-07954S" target="_blank" >GA21-07954S: Varying atmospheric variability</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
International Journal of Climatology
ISSN
0899-8418
e-ISSN
1097-0088
Volume of the periodical
42
Issue of the periodical within the volume
14
Country of publishing house
GB - UNITED KINGDOM
Number of pages
23
Pages from-to
7298-7320
UT code for WoS article
000782679600001
EID of the result in the Scopus database
2-s2.0-85128199215