Ranking of tree-ring based temperature reconstructions of the past millennium | Научно-инновационный портал СФУ

Ranking of tree-ring based temperature reconstructions of the past millennium

Тип публикации: статья из журнала

Год издания: 2016

Идентификатор DOI: 10.1016/j.quascirev.2016.05.009

Ключевые слова: Paleoclimate, Climate change, Proxy data, Dendrochronology, Dendroclimatology, NORTHERN-HEMISPHERE TEMPERATURE, LOW-FREQUENCY VARIABILITY, SURFACE AIR-TEMPERATURE, LAST 2 MILLENNIA, CLIMATE RECONSTRUCTION, SUMMER TEMPERATURES, FENNOSCANDIAN SUMMERS, TIBETAN PLATEAU, SIERRA-NEVADA, EUROPEAN ALPS

Аннотация: 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. (C) 2016 Elsevier Ltd. All rights reserved.

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Издание

Журнал: QUATERNARY SCIENCE REVIEWS

Выпуск журнала: Vol. 145

Номера страниц: 134-151

ISSN журнала: 02773791

Место издания: OXFORD

Издатель: PERGAMON-ELSEVIER SCIENCE LTD

Авторы

  • Esper Jan
  • Krusic Paul J. (Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden;; ; Navarino Environm Observ, Messinia, Greece;; )
  • Ljungqvist Fredrik C. (Stockholm Univ, Dept Hist, S-10691 Stockholm, Sweden;; ; Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden;; )
  • Luterbacher Juerg (Univ Giessen, Dept Geog, D-35390 Giessen, Germany;; ; Univ Giessen, Ctr Int Dev & Environm Res, D-35390 Giessen, Germany;; )
  • Carrer Marco (Univ Padua, Dipartimento Territorio & Sistemi AgroForestali, I-35020 Legnaro, Italy;; )
  • Cook Ed (Lamont Doherty Earth Observ, Tree Ring Lab, Palisades, NY 10964 USA;; )
  • Davi Nicole K. (Lamont Doherty Earth Observ, Tree Ring Lab, Palisades, NY 10964 USA;; ; William Paterson Univ, Dept Environm Sci, Wayne, NJ 07470 USA;; )
  • Hartl-Meier Claudia
  • Kirdyanov Alexander (RAS, SB, Inst Forest, Krasnoyarsk 660036, Russia;; ; Siberian Fed Univ, Lab Ecosyst Biogeochem, Krasnoyarsk 660041, Russia;; )
  • Konter Oliver
  • Myglan Vladimir (Johannes Gutenberg Univ Mainz, Dept Geog, D-55099 Mainz, Germany;; ; Siberian Fed Univ, Inst Humanities, Krasnoyarsk 660041, Russia)
  • Timonen Mauri
  • Treydte Kerstin
  • Trouet Valerie
  • Villalba Ricardo
  • Yang Bao
  • Buntgen Ulf

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