Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis

Among the key problems associated with the study of climate variability and its evolution are identification of the factors responsible for observed changes and quantification of their effects. Here, correlation and regression analysis are employed to detect the imprints of selected natural forcings...

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Main Authors: Jiří Mikšovský, Rudolf Brázdil, Petr Štĕpánek, Pavel Zahradníček, Petr Pišoft
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://hdl.handle.net/10.1007/s10584-014-1147-7
id ftrepec:oai:RePEc:spr:climat:v:125:y:2014:i:2:p:253-264
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spelling ftrepec:oai:RePEc:spr:climat:v:125:y:2014:i:2:p:253-264 2023-05-15T17:34:58+02:00 Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis Jiří Mikšovský Rudolf Brázdil Petr Štĕpánek Pavel Zahradníček Petr Pišoft http://hdl.handle.net/10.1007/s10584-014-1147-7 unknown http://hdl.handle.net/10.1007/s10584-014-1147-7 article ftrepec 2020-12-04T13:35:57Z Among the key problems associated with the study of climate variability and its evolution are identification of the factors responsible for observed changes and quantification of their effects. Here, correlation and regression analysis are employed to detect the imprints of selected natural forcings (solar and volcanic activity) and anthropogenic influences (amounts of greenhouse gases—GHGs—and atmospheric aerosols), as well as prominent climatic oscillations (Southern Oscillation—SO, North Atlantic Oscillation—NAO, Atlantic Multidecadal Oscillation—AMO) in the Czech annual and monthly temperature and precipitation series for the 1866–2010 period. We show that the long-term evolution of Czech temperature change is dominated by the influence of an increasing concentration of anthropogenic GHGs (explaining most of the observed warming), combined with substantially lower, and generally statistically insignificant, contributions from the sulphate aerosols (mild cooling) and variations in solar activity (mild warming), but with no distinct imprint from major volcanic eruptions. A significant portion of the observed short-term temperature variability can be linked to the influence of NAO. The contributions from SO and AMO are substantially weaker in magnitude. Aside from NAO, no major influence from the explanatory variables was found in the precipitation series. Nonlinear forms of regression were used to test for nonlinear interactions between the predictors and temperature/precipitation; the nonlinearities disclosed were, however, very weak, or not detectable at all. In addition to the outcomes of the attribution analysis for the Czech series, results for European and global land temperatures are also shown and discussed. Copyright Springer Science+Business Media Dordrecht 2014 Article in Journal/Newspaper North Atlantic North Atlantic oscillation RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Among the key problems associated with the study of climate variability and its evolution are identification of the factors responsible for observed changes and quantification of their effects. Here, correlation and regression analysis are employed to detect the imprints of selected natural forcings (solar and volcanic activity) and anthropogenic influences (amounts of greenhouse gases—GHGs—and atmospheric aerosols), as well as prominent climatic oscillations (Southern Oscillation—SO, North Atlantic Oscillation—NAO, Atlantic Multidecadal Oscillation—AMO) in the Czech annual and monthly temperature and precipitation series for the 1866–2010 period. We show that the long-term evolution of Czech temperature change is dominated by the influence of an increasing concentration of anthropogenic GHGs (explaining most of the observed warming), combined with substantially lower, and generally statistically insignificant, contributions from the sulphate aerosols (mild cooling) and variations in solar activity (mild warming), but with no distinct imprint from major volcanic eruptions. A significant portion of the observed short-term temperature variability can be linked to the influence of NAO. The contributions from SO and AMO are substantially weaker in magnitude. Aside from NAO, no major influence from the explanatory variables was found in the precipitation series. Nonlinear forms of regression were used to test for nonlinear interactions between the predictors and temperature/precipitation; the nonlinearities disclosed were, however, very weak, or not detectable at all. In addition to the outcomes of the attribution analysis for the Czech series, results for European and global land temperatures are also shown and discussed. Copyright Springer Science+Business Media Dordrecht 2014
format Article in Journal/Newspaper
author Jiří Mikšovský
Rudolf Brázdil
Petr Štĕpánek
Pavel Zahradníček
Petr Pišoft
spellingShingle Jiří Mikšovský
Rudolf Brázdil
Petr Štĕpánek
Pavel Zahradníček
Petr Pišoft
Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis
author_facet Jiří Mikšovský
Rudolf Brázdil
Petr Štĕpánek
Pavel Zahradníček
Petr Pišoft
author_sort Jiří Mikšovský
title Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis
title_short Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis
title_full Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis
title_fullStr Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis
title_full_unstemmed Long-term variability of temperature and precipitation in the Czech Lands: an attribution analysis
title_sort long-term variability of temperature and precipitation in the czech lands: an attribution analysis
url http://hdl.handle.net/10.1007/s10584-014-1147-7
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation http://hdl.handle.net/10.1007/s10584-014-1147-7
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