Home > Publications database > Bioclimate analogue regions - finding present day examples for future bioclimatic conditions > print

001     1049069
005     20251211202156.0
024 7 _ |a 10.1007/s00484-025-03052-w
|2 doi
024 7 _ |a 0367-8253
|2 ISSN
024 7 _ |a 0020-7128
|2 ISSN
024 7 _ |a 1432-1254
|2 ISSN
024 7 _ |a 2405-4348
|2 ISSN
024 7 _ |a 10.34734/FZJ-2025-05162
|2 datacite_doi
037 _ _ |a FZJ-2025-05162
082 _ _ |a 570
100 1 _ |a Döscher, Niels
|0 0000-0002-5847-2057
|b 0
|e Corresponding author
245 _ _ |a Bioclimate analogue regions - finding present day examples for future bioclimatic conditions
260 _ _ |a Heidelberg
|c 2025
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1765441220_19019
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a This study combines the method of climate analogue regions with a bioclimatic approach. Bioclimate analogue regions were determined for the Rhenish lignite mining area in western Germany, which will face a major structural change in the following decades. These analogue regions currently experience a similar number of days with heat stress compared to the projected future (RCP8.5) at the end of the century in the investigation area. The method is based on the Universal Thermal Climate Index (UTCI) parameters temperature, solar radiation, wind and relative humidity in 3-h temporal resolution while taking day- and night-time values into account. The analogues were calculated for an ensemble of 15 GCM-RCM model combinations from EURO-CORDEX data. The results suggest that analogue regions of the Rhenish lignite mining area are most likely to be found in southern Europe. The highest similarities for the whole ensemble can be found around the Gulf du Lion in southern France. However, some other regions, e.g. around the Black Sea, north of the Balkan Mountains or south of Bordeaux are good fits in some individual model results. While some of these regions are in accordance with previous studies on climate analogue regions, some others were unexpected. The study further shows advantages of using full-coverage instead of punctual data for climate analogue determination, as the results in this study exhibit a high level of spatial detail. For areas facing major structural changes, knowledge of possible climate futures and their present examples can be key aspects for regional planning.
536 _ _ |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)
|0 G:(DE-HGF)POF4-2173
|c POF4-217
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Mietz, Julia
|0 0009-0001-4467-1784
|b 1
700 1 _ |a Graf, Alexander
|0 P:(DE-Juel1)129461
|b 2
700 1 _ |a de Arróyabe Hernáez, Pablo Fernández
|0 0000-0001-8438-0765
|b 3
700 1 _ |a Leuchner, Michael
|0 0000-0002-0927-2622
|b 4
773 _ _ |a 10.1007/s00484-025-03052-w
|g Vol. 69, no. 12, p. 3691 - 3710
|0 PERI:(DE-600)1459227-7
|n 12
|p 3691 - 3710
|t International journal of biometeorology
|v 69
|y 2025
|x 0367-8253
856 4 _ |u https://juser.fz-juelich.de/record/1049069/files/Doescher_2025_IntJBiomet_ClimateAnalogues.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1049069
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)129461
913 1 _ |a DE-HGF
|b Forschungsbereich Erde und Umwelt
|l Erde im Wandel – Unsere Zukunft nachhaltig gestalten
|1 G:(DE-HGF)POF4-210
|0 G:(DE-HGF)POF4-217
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-200
|4 G:(DE-HGF)POF
|v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten
|9 G:(DE-HGF)POF4-2173
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2025-01-06
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b INT J BIOMETEOROL : 2022
|d 2025-01-06
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-06
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2025-01-06
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-06
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2025-01-06
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-06
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-06
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21