Reconstructed May–July mean maximum temperature since 1745AD based on tree-ring width of Pinus tabulaeformis in Qianshan Mountain, China

Liu, Yü; Wang, Yanchao; Li, Qiang; Sun, Junying; Song, Huiming; Cai, Qiufang; Zhang, Yanhua; Yuan, Zhong-Lin; Wang, Zhongyu

doi:10.1016/j.palaeo.2013.08.011

Cited by 27 publications

(16 citation statements)

References 42 publications

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“…Figure 10. Comparison between the reconstructed May-July mean maximum temperature from Qianshan (a, Liu et al, 2013b), the observed June-September mean maximum temperature from Shenyang meteorological station (b), and the June-September mean relative humidity over the YWL (c). The smoothed lines indicate 11-year moving averages.…”

Section: Discussionmentioning

confidence: 99%

“…A reconstructed May-July mean maximum temperature from Qianshan (Liu et al, 2013b), 130 km southeast of the YWL was used to make a comparison with our MRH 69 reconstruction for the past 175 years. To highlight decadal time scale changes and longer fluctuations, which are of primary interest in palaeoclimate studies, a low-pass filter or an 11-year moving average was applied in data analysis (Cook, 1995;Briffa et al, 2004;Cook et al, 2004).…”

Section: Methodsmentioning

confidence: 99%

“…To test this result, we employed a reconstructed May-July mean maximum temperature from Qianshan (Liu et al, 2013b), 130 km southeast of the YWL, for comparison with our MRH 69 reconstruction for the past 175 years (Figure 10(a) and (c)). Two curves at the interannual time scale were significantly negatively correlated with r = −0.43 (N = 175, p < 0.01).…”

Section: Spatial Correlationmentioning

confidence: 99%

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A tree-ring-based June-September mean relative humidity reconstruction since 1837 from the Yiwulü Mountain region, China

Liu

Wang

et al. 2014

Int. J. Climatol.

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ABSTRACT:The study of humidity is important for better understanding the past climatic variations. However, there have been few long-term humidity reconstructions using tree-ring widths worldwide. Here, we present a June-September mean relative humidity (MRH 69 ) reconstruction from AD 1837 to 2011 using Chinese pine trees (Pinus tabulaeformis Carr.) from the Yiwulü Mountain region in northeastern China. The reconstruction explained 39.8% of the instrumental variance during the calibration period. We found that precipitation only influenced the MRH 69 on an annual scale (high frequency), but the mean maximum temperature (MMT) impacted the MRH 69 both on an annual scale (high frequency) and decadal time scale (low frequency). The MRH 69 reconstruction showed a consistently increasing trend from AD 1881 to 1990, after which it diminished sharply. More high humidity years occurred after the 1960s and more low humidity years occurred before the 1960s. In the study area, MRH 69 decreased along with global warming after the 1980s. On the decadal scale, there were five high-value MRH 69 intervals: 1842-1850, 1865-1871, 1898-1902, 1823-1927 and 1932-1997; there were five low-value intervals: 1851-1864, 1872-1897, 1903-1922, 1928-1931 and 1998-2006. In addition, the MRH 69 reconstruction showed the large-scale representativeness of sea-land coupling. On the decadal scale, our MRH 69 reconstruction varied synchronously with the Arctic Oscillation index (AOI), suggesting that the AOI might be linked with MRH 69 in the Yiwulü Mountain region. Historical documents and meteorological data indicate that flooding (or drought) often occurred in the years with higher (or lower) humidity compared with the moving average values of the mean relative humidity (MRH).

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Spatial Correlationmentioning

confidence: 99%

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A tree-ring-based June-September mean relative humidity reconstruction since 1837 from the Yiwulü Mountain region, China

Liu

Wang

et al. 2014

Int. J. Climatol.

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“…affect agriculture and forest ecosystems. In addition, previous studies suggest that climate change in northeast China was also linked to the solar activities and global land-sea atmospheric circulation during certain pre-instrumental periods Wang et al, 2011;Liu et al, 2013). It is generally accepted that the climate warms during periods of strong solar activity (e.g., the Medieval Warm Period) and cools during periods of low solar activity (e.g., the Little Ice Age; Lean and Rind, 1999;Bond et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

A 414-year tree-ring-based April–July minimum temperature reconstruction and its implications for the extreme climate events, northeast China

Lyu

Zhang

et al. 2016

Clim. Past

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Abstract.A ring-width series was used as a proxy to reconstruct the past 414-year record of April-July minimum temperature at Laobai Mountain, northeast China. The chronology was built using standard tree-ring procedures for providing comparable information in this area while preserving low-frequency signals. By analyzing the relationship between the tree-ring chronology of Korean pine (Pinus koraiensis) and meteorological data, we found that the standard chronology was significantly correlated with the April-July minimum temperature (r = 0.757, p < 0.01). Therefore, the April-July minimum temperature since 1600 (more than six trees, but the expressed population signal (EPS) is greater than 0.85 since 1660) was reconstructed by this tree-ring series. The reconstruction equation accounted for 57.3 % of temperature variation, and it was proved reliable by testing with several methods (e.g., sign test, product mean test, reduction of the error, and coefficient of efficiency). Reconstructed April-July minimum temperature on Laobai Mountain showed six major cold periods (1605-1616, 1645-1677, 1684-1691, 1911-1924, 1930-1942, and 1951-1969) and seven major warm periods (1767-1785, 1787-1793, 1795-1807, 1819-1826, 1838-1848, 1856-1873, and 1991-2008) during the past 414 years. The reconstructed low-temperature periods in the 17th and early 18th century were consistent with the Little Ice Age (LIA) in the Northern Hemisphere, and the rate of warming in the 19th century was significantly slower than that in the late 20th century. In addition, the reconstructed series was fairly consistent with the historical and natural disaster records of extreme climate events (e.g., cold damage and frost disaster) in this area. This temperature record provides new evidence of past climate variability, and can be used to predict the climate trend in the future in northeast China.

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“…There is abundant information on past climate variations contained in tree rings. Certain characteristics of tree rings, including their high resolution, accurate dating, wide distribution and high correlation with climatic factors [1][2][3][4], make them an important archive of data on climate and environmental changes and important to the study of past global changes (PAGES) [5][6][7][8]. Global warming in the twentieth century has become an indisputable fact and has been recorded by a number of tree-ring studies from the Northern Hemisphere in recent years [9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Growing season relative humidity variations and possible impacts on Hulunbuir grassland

2016

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Reconstructed May–July mean maximum temperature since 1745AD based on tree-ring width of Pinus tabulaeformis in Qianshan Mountain, China

Cited by 27 publications

References 42 publications

A tree-ring-based June-September mean relative humidity reconstruction since 1837 from the Yiwulü Mountain region, China

A tree-ring-based June-September mean relative humidity reconstruction since 1837 from the Yiwulü Mountain region, China

A 414-year tree-ring-based April–July minimum temperature reconstruction and its implications for the extreme climate events, northeast China

Growing season relative humidity variations and possible impacts on Hulunbuir grassland

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