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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003768naa a2200541 4500
001oai:DiVA.org:su-133379
003SwePub
008160906s2016 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1333792 URI
024a https://doi.org/10.1016/j.quascirev.2016.05.0092 DOI
040 a (SwePub)su
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Esper, Jan4 aut
2451 0a Ranking of tree-ring based temperature reconstructions of the past millennium
264 1b Elsevier BV,c 2016
338 a print2 rdacarrier
520 a Tree-ring chronologies are widely used to reconstruct high-to low-frequency variations in growing season temperatures over centuries to millennia. The relevance of these timeseries in large-scale climate reconstructions is often determined by the strength of their correlation against instrumental temperature data. However, this single criterion ignores several important quantitative and qualitative characteristics of tree-ring chronologies. Those characteristics are (i) data homogeneity, (ii) sample replication, (iii) growth coherence, (iv) chronology development, and (v) climate signal including the correlation with instrumental data. Based on these 5 characteristics, a reconstruction-scoring scheme is proposed and applied to 39 published, millennial-length temperature reconstructions from Asia, Europe, North America, and the Southern Hemisphere. Results reveal no reconstruction scores highest in every category and each has their own strengths and weaknesses. Reconstructions that perform better overall include N-Scan and Finland from Europe, E-Canada from North America, Yamal and Dzhelo from Asia. Reconstructions performing less well include W-Himalaya and Karakorum from Asia, Tatra and S-Finland from Europe, and Great Basin from North America. By providing a comprehensive set of criteria to evaluate tree-ring chronologies we hope to improve the development of large-scale temperature reconstructions spanning the past millennium. All reconstructions and their corresponding scores are provided at www.blogs.uni-mainz.de/fb09climatology.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng
653 a Paleoclimate
653 a Climate change
653 a Proxy data
653 a Dendrochronology
653 a Dendroclimatology
700a Krusic, Paul J.u Stockholms universitet,Institutionen för naturgeografi,Navarino Environmental Observatory, Greece4 aut0 (Swepub:su)pakru
700a Charpentier Ljungqvist, Fredrik,d 1982-u Stockholms universitet,Historiska institutionen4 aut0 (Swepub:su)fchar
700a Luterbacher, Jürg4 aut
700a Carrer, Marco4 aut
700a Cook, Ed4 aut
700a Davi, Nicole K.4 aut
700a Hartl-Meier, Claudia4 aut
700a Kirdyanov, Alexander4 aut
700a Konter, Oliver4 aut
700a Myglan, Vladimir4 aut
700a Timonen, Mauri4 aut
700a Treydte, Kerstin4 aut
700a Trouet, Valerie4 aut
700a Villalba, Ricardo4 aut
700a Yang, Bao4 aut
700a Büntgen, Ulf4 aut
710a Stockholms universitetb Institutionen för naturgeografi4 org
773t Quaternary Science Reviewsd : Elsevier BVg 145, s. 134-151q 145<134-151x 0277-3791x 1873-457X
856u https://repository.arizona.edu/bitstream/10150/621352/1/JQSR-D-16-00018R1.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-133379
8564 8u https://doi.org/10.1016/j.quascirev.2016.05.009

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