Zhang T.-W.,Institute of Desert Meteorology |
Zhang T.-W.,Key Laboratory of Tree ring Physical and Chemical Research of China Meteorological Administration |
Zhang T.-W.,Key Laboratory of Tree ring Ecology of Uighur Autonomous Region |
Yuan Y.-J.,Institute of Desert Meteorology |
And 25 more authors.
Quaternary International | Year: 2015
June-July mean temperature was reconstructed back to 1698 for the southern Altai Mountains in eastern Central Asia using four temperature series based on tree-ring widths. The reconstruction explains 48% of the variation in the observed temperature from 1962 to 2003. Warm periods occurred during 1714-1732, 1753-1776, 1800-1840, 1866-1886, 1893-1911, and 1943-1969, while the periods of 1708-1713, 1733-1752, 1777-1799, 1841-1865, 1887-1892, 1912-1942, and 1970-1993 were relatively cold. Power spectral and wavelet analyses demonstrated the existence of significant 50-, 14-, 2.8-, and 2.5-year cycles of variability. The results of a spatial correlation analysis suggested that this temperature reconstruction contains climatic signals for a large area of Central Asia. After employing a 21-year low-pass filter, the coherence of the newly reconstructed series with a regional temperature reconstruction for Central Asia and also with a local temperature reconstruction for the Zajsan Lake area of East Kazakhstan indicates that our temperature reconstruction captures broad-scale regional climatic variations in the low-frequency domain. © 2014 Elsevier Ltd and INQUA.
Zhang T.,Institute of Desert Meteorology |
Zhang T.,Key Laboratory of Tree ring Physical and Chemical Research of China Meteorological Administration |
Zhang T.,Key Laboratory of Tree ring Ecology of Uigur Autonomous Region |
Zhang R.,Institute of Desert Meteorology |
And 17 more authors.
Quaternary International | Year: 2015
July-June precipitation has been reconstructed to 1756AD for the western Tien Shan Mountains, Central Asia, using the Picea schrenkiana tree-ring width. The reconstruction explains 31% of the variation in the observed precipitation from 1933 to 2009. Some extremely dry signals in the historical documents are captured precisely in this new reconstruction. Wet periods occurred during the periods of 1811-1828, 1843-1880, 1893-1915, 1929-1934, and 1983-2002, while the periods 1766-1810, 1829-1842, 1881-1892, 1916-1928, and 1935-1982 were relatively dry. Power spectral and wavelet analyses demonstrated the existence of significant 32-, 17-, and 2.6-7.4-year cycles of variability. An assessment of spatial correlation analysis and the significant correlation coefficients between the reconstructed precipitation series and three precipitation reconstructions indicate that our reconstruction might contain multiple large-scale climatic signals in the low-frequency domain. A wetting trend in the eastern Central Asia since the 1970s decades was also captured by this reconstruction. © 2014 Elsevier Ltd and INQUA.
Shang H.,Institute of Desert Meteorology |
Shang H.,Key Laboratory of Tree ring Physical and Chemical Research of China Meteorological Administration |
Yin Z.,Institute of Desert Meteorology |
Chen Z.,Hydrology and Water Resources Survey Bureau in Boertala |
And 6 more authors.
Shuikexue Jinzhan/Advances in Water Science | Year: 2014
Tree-ring width from northern slopes of Tianshan Mountains is of great potential for hydroclimate reconstruction. Tree-ring width data of Picea schrenkiana from two sites which are located at Jinghe River basin were collected and developed into tree-ring width chronologies. Correlation analysis between tree-ring width index and hydrometeorological factors indicates the potential of tree ring width for streamflow reconstruction, and the coefficient between tree-ring width standard chronology and streamflow from last September to current August in Jinghe River hydrological station is 0.612. A linear transfer function is established to reconstruct the annual streamflow during 1615-2007. There are 7 flood years and 11 drought years, and 13 consistent periods and 10 consistent periods during 1615-2007. Multi-taper method (MTM) spectral analysis revealed the cycles of 56.8 a, 6.9 a, 3.8 a, 3.4 a, 2.0-2.1 a above the 99% confidence level. The cycle of 6.9 a, which is accordant with ENSO, indicated the possible influence of large scale ocean-atmosphere pattern on the regional hydroclimate. Furthermore, the significant negative association (P<0.05) between Souther Oscillation Index (SOI) and reconstructed hydrological series also proved this teleconnection pattern. The drought and flood period in Jinghe River is well corresponding with that in Manasi River and Urumqi River, and the wet and dry period in Tianshan Mountains area and Yili region, which indicated the consistency of large-scale circulation background and driving climatic factors of hydroclimate change in northern slopes of Tianshan Mountains. ©, 2014, China Water Power Press. All right reserved.