scholarly journals May–June Maximum Temperature Reconstruction from Mean Earlywood Density in North Central China and Its Linkages to the Summer Monsoon Activities

PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e107501 ◽  
Author(s):  
Feng Chen ◽  
Yujiang Yuan
2019 ◽  
Author(s):  
Chenliang Wu ◽  
◽  
Yuliang Duan ◽  
Trevor Cole ◽  
Jeffrey A. Nittrouer ◽  
...  

2021 ◽  
Vol 260 ◽  
pp. 106927
Author(s):  
Linlin Gao ◽  
Yang Deng ◽  
Xiaoya Yan ◽  
Qian Li ◽  
Yu Zhang ◽  
...  
Keyword(s):  

2021 ◽  
Vol 558 ◽  
pp. 116758
Author(s):  
Yanjun Cai ◽  
Xing Cheng ◽  
Le Ma ◽  
Ruixue Mao ◽  
Sebastian F.M. Breitenbach ◽  
...  

2020 ◽  
Vol 43 (4) ◽  
pp. 126089 ◽  
Author(s):  
Junjie Zhang ◽  
Shanshan Peng ◽  
Yimin Shang ◽  
Brigitte Brunel ◽  
Shuo Li ◽  
...  

2016 ◽  
Vol 12 (7) ◽  
pp. 1485-1498 ◽  
Author(s):  
Liangjun Zhu ◽  
Yuandong Zhang ◽  
Zongshan Li ◽  
Binde Guo ◽  
Xiaochun Wang

Abstract. We present a reconstruction of July–August mean maximum temperature variability based on a chronology of tree-ring widths over the period AD 1646–2013 in the northern part of the northwestern Sichuan Plateau (NWSP), China. A regression model explains 37.1 % of the variance of July–August mean maximum temperature during the calibration period from 1954 to 2012. Compared with nearby temperature reconstructions and gridded land surface temperature data, our temperature reconstruction had high spatial representativeness. Seven major cold periods were identified (1708–1711, 1765–1769, 1818–1821, 1824–1828, 1832–1836, 1839–1842, and 1869–1877), and three major warm periods occurred in 1655–1668, 1719–1730, and 1858–1859 from this reconstruction. The typical Little Ice Age climate can also be well represented in our reconstruction and clearly ended with climatic amelioration at the late of the 19th century. The 17th and 19th centuries were cold with more extreme cold years, while the 18th and 20th centuries were warm with less extreme cold years. Moreover, the 20th century rapid warming was not obvious in the NWSP mean maximum temperature reconstruction, which implied that mean maximum temperature might play an important and different role in global change as unique temperature indicators. Multi-taper method (MTM) spectral analysis revealed significant periodicities of 170-, 49–114-, 25–32-, 5.7-, 4.6–4.7-, 3.0–3.1-, 2.5-, and 2.1–2.3-year quasi-cycles at a 95 % confidence level in our reconstruction. Overall, the mean maximum temperature variability in the NWSP may be associated with global land–sea atmospheric circulation (e.g., ENSO, PDO, or AMO) as well as solar and volcanic forcing.


1994 ◽  
Vol 42 (1) ◽  
pp. 88-99 ◽  
Author(s):  
Malcolm K. Hughes ◽  
Wu Xiangding ◽  
Shao Xuemei ◽  
Gregg M. Garfin

AbstractMay-June (MJ) and April-July (AJ) precipitation at Huashan in north-central China has been reconstructed for the period A.D. 1600 to 1988 using tree-ring density and width fromPinus armandii. MJ precipitation (based on ring width and maximum latewood density) calibrated and cross-validated against local instrumental data more strongly than AJ precipitation (based only on ring width). A major drought was reconstructed for the mid- and late 1920s, confirmed by local documentary sources. This drought (culminating in 1929) was the most severe of the 389-yr period for MJ and second most severe for AJ, after an event ending in 1683. Neither reconstruction shows much spectral power at frequencies lower than 1 in 10 yr, but both show concentrations of power between 2.1 and 2.7 yr and 3.5 to 9 yr. There are significant correlations between the two reconstructions and a regional dryness/wetness index (DW) based on documentary sources, particularly at high frequencies. These correlations are focused in the 7.6- to 7.3-, 3.8- to 3.6-, and 2.5-yr periods. Using singular spectrum analysis, quasiperiodic behavior with a period close to 7.2 yr was identified in the MJ precipitation reconstruction and in the DW index based on documents.


2005 ◽  
Vol 39 (21) ◽  
pp. 3831-3841 ◽  
Author(s):  
F. Lasserre ◽  
G. Cautenet ◽  
S.C. Alfaro ◽  
L. Gomes ◽  
J.L. Rajot ◽  
...  

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