2016
DOI: 10.1002/joc.4900
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Reconstructed annual mean temperatures for the northeastern margin of the Tibetan Plateau: associations with the East Asian monsoons and volcanic events

Abstract: Owing to a lack of available long-term climatic records, data related to past climatic variability throughout the Tibetan Plateau remains limited. In this study, we found that Qilian juniper tree growth was significantly and positively correlated (p < 0.001) to yearly mean temperatures in the northeastern margin of the Tibetan Plateau. We developed an annual mean temperature reconstruction from year 1740 CE based on growth-climate relationships in the study area. Our reconstruction accounted for 53.9% of total… Show more

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Cited by 6 publications
(16 citation statements)
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“…As per Past Global Changes (PAGES) project [15], dendrochronology is considered one of the most useful methodologies to inform about past climate changes because of its annual resolution and absolute dating [15][16][17][18]. To minimize noise in tree-ring data, it is advisable to collect many trees to stabilize the signal of interest, and to use the available state-of-the-art detrending/standardization procedure, prior to using the data for reconstruction purposes [3,16,19,20].…”
Section: Introductionmentioning
confidence: 99%
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“…As per Past Global Changes (PAGES) project [15], dendrochronology is considered one of the most useful methodologies to inform about past climate changes because of its annual resolution and absolute dating [15][16][17][18]. To minimize noise in tree-ring data, it is advisable to collect many trees to stabilize the signal of interest, and to use the available state-of-the-art detrending/standardization procedure, prior to using the data for reconstruction purposes [3,16,19,20].…”
Section: Introductionmentioning
confidence: 99%
“…To minimize noise in tree-ring data, it is advisable to collect many trees to stabilize the signal of interest, and to use the available state-of-the-art detrending/standardization procedure, prior to using the data for reconstruction purposes [3,16,19,20]. However, many regional reconstructions reveal notable variations in amplitude and timing of certain warm and cold periods [2,3,18,[21][22][23][24], and degradation in reconstruction skills from periods of calibration to verification is also of major concern [18,24]. Moreover, existing reconstructions over Himalaya [7][8][9][10][11][12]24,25] lack consistency in targeted climate variables, challenging larger data composites for robust climate trend analysis [7].…”
Section: Introductionmentioning
confidence: 99%
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