The influence of decision-making in tree ring-based climate reconstructions.
The influence of decision-making in tree ring-based climate reconstructions.
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DOI:
10.1038/s41467-021-23627-6
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发表时间:
2021-06-07
影响因子:
16.6
通讯作者:
Esper J
中科院分区:
文献类型:
--
作者:
Büntgen U;Allen K;Anchukaitis KJ;Arseneault D;Boucher É;Bräuning A;Chatterjee S;Cherubini P;Churakova Sidorova OV;Corona C;Gennaretti F;Grießinger J;Guillet S;Guiot J;Gunnarson B;Helama S;Hochreuther P;Hughes MK;Huybers P;Kirdyanov AV;Krusic PJ;Ludescher J;Meier WJ;Myglan VS;Nicolussi K;Oppenheimer C;Reinig F;Salzer MW;Seftigen K;Stine AR;Stoffel M;St George S;Tejedor E;Trevino A;Trouet V;Wang J;Wilson R;Yang B;Xu G;Esper J
Tree-ring chronologies underpin the majority of annually-resolved reconstructions of Common Era climate. However, they are derived using different datasets and techniques, the ramifications of which have hitherto been little explored. Here, we report the results of a double-blind experiment that yielded 15 Northern Hemisphere summer temperature reconstructions from a common network of regional tree-ring width datasets. Taken together as an ensemble, the Common Era reconstruction mean correlates with instrumental temperatures from 1794–2016 CE at 0.79 (p < 0.001), reveals summer cooling in the years following large volcanic eruptions, and exhibits strong warming since the 1980s. Differing in their mean, variance, amplitude, sensitivity, and persistence, the ensemble members demonstrate the influence of subjectivity in the reconstruction process. We therefore recommend the routine use of ensemble reconstruction approaches to provide a more consensual picture of past climate variability. Tree rings are a crucial archive for Common Era climate reconstructions, but the degree to which methodological decisions influence outcomes is not well known. Here, the authors show how different approaches taken by 15 different groups influence the ensemble temperature reconstruction from the same data.
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影响因子:
16.6
作者:
Büntgen U;Wacker L;Galván JD;Arnold S;Arseneault D;Baillie M;Beer J;Bernabei M;Bleicher N;Boswijk G;Bräuning A;Carrer M;Ljungqvist FC;Cherubini P;Christl M;Christie DA;Clark PW;Cook ER;D'Arrigo R;Davi N;Eggertsson Ó;Esper J;Fowler AM;Gedalof Z;Gennaretti F;Grießinger J;Grissino-Mayer H;Grudd H;Gunnarson BE;Hantemirov R;Herzig F;Hessl A;Heussner KU;Jull AJT;Kukarskih V;Kirdyanov A;Kolář T;Krusic PJ;Kyncl T;Lara A;LeQuesne C;Linderholm HW;Loader NJ;Luckman B;Miyake F;Myglan VS;Nicolussi K;Oppenheimer C;Palmer J;Panyushkina I;Pederson N;Rybníček M;Schweingruber FH;Seim A;Sigl M;Churakova Sidorova O;Speer JH;Synal HA;Tegel W;Treydte K;Villalba R;Wiles G;Wilson R;Winship LJ;Wunder J;Yang B;Young GHF
通讯作者:
Young GHF
影响因子:
64.8
作者:
Frank, David C.;Esper, Jan;Joos, Fortunat
通讯作者:
Joos, Fortunat
影响因子:
4.8
作者:
Di Cosmo, Nicola;Oppenheimer, Clive;Buntgen, Ulf
通讯作者:
Buntgen, Ulf
影响因子:
4
作者:
Frank, David;Buentgen, Ulf;Esper, Jan
通讯作者:
Esper, Jan
影响因子:
9.8
作者:
PAGES2k Consortium
通讯作者:
PAGES2k Consortium