Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century

We investigate future climate conditions projected by six regional climate model (RCM) simulations driven by the SRES A1B emission scenario. As a diagnostic tool of climate change, we used the Köppen–Geiger climate classification as it is suitable for assessing climate change impacts on ecosystems....

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Main Authors: Szabó-Takács, B. (Beáta), Farda, A. (Aleš), Zahradníček, P. (Pavel), Štěpánek, P. (Petr)
Format: Conference Object
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/11104/0249118
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record_format openpolar
spelling ftczacademyscien:oai:asep.lib.cas.cz:CavUnEpca/0447210 2024-09-15T18:22:42+00:00 Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century Szabó-Takács, B. (Beáta) Farda, A. (Aleš) Zahradníček, P. (Pavel) Štěpánek, P. (Petr) 2015 http://hdl.handle.net/11104/0249118 eng eng urn:isbn: 978-80-87902-10-3 http://hdl.handle.net/11104/0249118 climate models climate classification 21st century info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion 2015 ftczacademyscien 2024-08-19T05:33:00Z We investigate future climate conditions projected by six regional climate model (RCM) simulations driven by the SRES A1B emission scenario. As a diagnostic tool of climate change, we used the Köppen–Geiger climate classification as it is suitable for assessing climate change impacts on ecosystems. The analysis is based on a comparison of Köppen–Geiger climate subtypes during two future time slices (2021–2050 and 2070– 2100) with climate subtypes observed during 1961–2000. All RCMs showed expansion of the area covered by warmer climate types in the future, but the magnitude of the growth varied among RCMs. The differences stemmed from several sources, mainly boundary forcing provided by the driving global circulation models (GCMs) as well as different physical packages, resolution, and natural variability representation in individual GCMs. In general, RCMs driven by the ECHAM5-r3 GCM projected cooler climate conditions than did RCMs driven by the ARPÈGE GCM. This can be explained by two factors related to ECHAM5-r3: i) exaggerated transport of cool and moist air from the North Atlantic to Europe in summer, and ii) winter advection of cold air from the Artic owing to North Atlantic Oscillation blocking pattern alteration during solar minima as well as higher natural variability. RCM-related properties, such as physical package and spatial resolution, may also significantly affect climate predictions, although they do so to a smaller extent than does the driving GCM data. Conference Object North Atlantic North Atlantic oscillation The Czech Academy of Sciences: Publication Activity (ASEP)
institution Open Polar
collection The Czech Academy of Sciences: Publication Activity (ASEP)
op_collection_id ftczacademyscien
language English
topic climate models
climate classification
21st century
spellingShingle climate models
climate classification
21st century
Szabó-Takács, B. (Beáta)
Farda, A. (Aleš)
Zahradníček, P. (Pavel)
Štěpánek, P. (Petr)
Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
topic_facet climate models
climate classification
21st century
description We investigate future climate conditions projected by six regional climate model (RCM) simulations driven by the SRES A1B emission scenario. As a diagnostic tool of climate change, we used the Köppen–Geiger climate classification as it is suitable for assessing climate change impacts on ecosystems. The analysis is based on a comparison of Köppen–Geiger climate subtypes during two future time slices (2021–2050 and 2070– 2100) with climate subtypes observed during 1961–2000. All RCMs showed expansion of the area covered by warmer climate types in the future, but the magnitude of the growth varied among RCMs. The differences stemmed from several sources, mainly boundary forcing provided by the driving global circulation models (GCMs) as well as different physical packages, resolution, and natural variability representation in individual GCMs. In general, RCMs driven by the ECHAM5-r3 GCM projected cooler climate conditions than did RCMs driven by the ARPÈGE GCM. This can be explained by two factors related to ECHAM5-r3: i) exaggerated transport of cool and moist air from the North Atlantic to Europe in summer, and ii) winter advection of cold air from the Artic owing to North Atlantic Oscillation blocking pattern alteration during solar minima as well as higher natural variability. RCM-related properties, such as physical package and spatial resolution, may also significantly affect climate predictions, although they do so to a smaller extent than does the driving GCM data.
format Conference Object
author Szabó-Takács, B. (Beáta)
Farda, A. (Aleš)
Zahradníček, P. (Pavel)
Štěpánek, P. (Petr)
author_facet Szabó-Takács, B. (Beáta)
Farda, A. (Aleš)
Zahradníček, P. (Pavel)
Štěpánek, P. (Petr)
author_sort Szabó-Takács, B. (Beáta)
title Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
title_short Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
title_full Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
title_fullStr Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
title_full_unstemmed Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
title_sort köppen–geiger climate classification by different regional climate models according to the sres a1b scenario in the 21st century
publishDate 2015
url http://hdl.handle.net/11104/0249118
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation urn:isbn: 978-80-87902-10-3
http://hdl.handle.net/11104/0249118
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