Ranking of tree-ring based temperature reconstructions of the past millennium. (1st August 2016)
- Record Type:
- Journal Article
- Title:
- Ranking of tree-ring based temperature reconstructions of the past millennium. (1st August 2016)
- Main Title:
- Ranking of tree-ring based temperature reconstructions of the past millennium
- Authors:
- Esper, Jan
Krusic, Paul J.
Ljungqvist, Fredrik C.
Luterbacher, Jürg
Carrer, Marco
Cook, Ed
Davi, Nicole K.
Hartl-Meier, Claudia
Kirdyanov, Alexander
Konter, Oliver
Myglan, Vladimir
Timonen, Mauri
Treydte, Kerstin
Trouet, Valerie
Villalba, Ricardo
Yang, Bao
Büntgen, Ulf - Abstract:
- Abstract: 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 theirAbstract: 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 atwww.blogs.uni-mainz.de/fb09climatology . Highlights: Basic tree-ring chronology characteristics are detailed. An ordinal scoring scheme understandable to non-specialists is proposed. The scheme is used to rank 39 tree-ring based temperature reconstructions. The ranking supports the development of large-scale temperature reconstructions. Updates will be published online at:www.blogs.uni-mainz.de/fb09climatology . … (more)
- Is Part Of:
- Quaternary science reviews. Volume 145(2016)
- Journal:
- Quaternary science reviews
- Issue:
- Volume 145(2016)
- Issue Display:
- Volume 145, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 145
- Issue:
- 2016
- Issue Sort Value:
- 2016-0145-2016-0000
- Page Start:
- 134
- Page End:
- 151
- Publication Date:
- 2016-08-01
- Subjects:
- Paleoclimate -- Climate change -- Proxy data -- Dendrochronology -- Dendroclimatology
Geology, Stratigraphic -- Quaternary -- Periodicals
Stratigraphie -- Quaternaire -- Périodiques
551.79 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02773791 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/quaternary-science-reviews/ ↗ - DOI:
- 10.1016/j.quascirev.2016.05.009 ↗
- Languages:
- English
- ISSNs:
- 0277-3791
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7210.220000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1492.xml