Trends in intraseasonal temperature variability in Europe, 1961-2018

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11310/22:10457830

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Trends in intraseasonal temperature variability in Europe, 1961-2018

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Trends in intraseasonal temperature variability in Europe, 1961-2018

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/GA21-07954S" target="_blank" >GA21-07954S: Měnící se proměnlivost atmosféry</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

International Journal of Climatology

ISSN

0899-8418

e-ISSN

1097-0088

Svazek periodika

42

Číslo periodika v rámci svazku

14

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

23

Strana od-do

7298-7320

Kód UT WoS článku

000782679600001

EID výsledku v databázi Scopus

2-s2.0-85128199215