# Tien Shan 391 Year Summer Temperature Reconstruction #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/27670 # Description: # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/asia/tienshan2019temp.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstruction # # Dataset DOI: # # Parameter_Keywords: temperature #-------------------- # Contribution_Date # Date: 2019-09-23 #-------------------- # File_Last_Modified_Date # Date: 2019-09-23 #-------------------- # Title # Study_Name: Tien Shan 391 Year Summer Temperature Reconstruction #-------------------- # Investigators # Investigators: Chen, F.; Yuan, Y.J.; Yu, S.L.; Chen, F.H. #-------------------- # Description_Notes_and_Keywords # Description: Tien Shan summer (July-August) temperature reconstruction for the past 391 years, based on tree-ring maximum density. #-------------------- # Publication # Authors: Feng Chen, Yujiang Yuan, Shulong Yu, Fahu Chen # Published_Date_or_Year: 2019-09-10 # Published_Title: A 391-year summer temperature reconstruction of the Tien Shan, reveals far-reaching summer temperature signals over the mid-latitude Eurasian continent # Journal_Name: Journal of Geophysical Research: Atmospheres # Volume: # Edition: # Issue: To be determined # Pages: To be determined # Report_Number: # DOI: To be determined # Online_Resource: # Full_Citation: # Abstract: The Tien Shan is the largest independent latitudinal mountain ranges in Eurasia, but due to a lack of long-term instrumental data, knowledge of past temperature variability in the Tien Shan is limited. In this paper, a maximum latewood density (MXD) chronology of Schrenk spruce (Picea schrenkiana) was constructed from the Tien Shan, Central Asia. Correlation analyses indicate that the MXD variations of spruce trees in the Tien Shan are mainly limited by summer temperature variations. The July-August mean temperature was reconstructed for the Tien Shan back to 1615 CE. The temperature reconstruction explained 42.9% of the instrumental variance (1930-2005). This reconstruction successfully captured the past temperature variabilities in the Tien Shan and enabled visualization of the cool climate before 1850s and the climatic warming after the 1850s. Agreement among the temperature series of the Tien Shan and regional temperature records based on MXDs from Eurasia suggested that our reconstruction had good reliability, captured some warm/cold periods, and first principal component (PC1) of these MXD records showed that there are strong large-scale temperature forcings in Eurasia. Our study also showed that there is a linkage between temperature changes in Central Asia and the atmospheric circulations of the middle-high latitude westerly region and the sea surface temperatures of both the Pacific Ocean and the Atlantic Ocean. The positive correlations among the PC1 time series of regional temperature reconstructions based on MXDs and Northern Hemisphere temperature reconstructions revealed that the MXD chronologies from Central Asia have the potential for developing large-scale temperature reconstruction. #------------------ # Funding_Agency # Funding_Agency_Name: National Key Research and Development Program of China # Grant: 2018YFA0606401 #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: U1803341 #------------------ # Site_Information # Site_Name: Tien Shan # Location: Asia>Eastern Asia>China Kyrgyzstan # Country: China Kyrgyzstan # Northernmost_Latitude: 44 # Southernmost_Latitude: 41 # Easternmost_Longitude: 83 # Westernmost_Longitude: 75 # Elevation: #------------------ # Data_Collection # Collection_Name: TienShan2019temp # Earliest_Year: 1615 # Most_Recent_Year: 2005 # Time_Unit: CE # Core_Length: # Notes: #------------------ # Chronology_Information # Chronology: # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## age_CE age, , , year Common Era, , , , ,N, ## temperature temperature, , , degree C, annual,climate reconstructions,,tree ring reconstruction,N, Annual (July-August) Tien Shan temperature # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_CE temperature 1615 15.23 1616 15.78 1617 15.92 1618 15.03 1619 15.20 1620 15.59 1621 15.25 1622 16.01 1623 15.91 1624 15.53 1625 15.50 1626 15.55 1627 14.92 1628 15.05 1629 15.39 1630 15.59 1631 14.75 1632 15.37 1633 15.66 1634 15.34 1635 15.91 1636 16.30 1637 15.58 1638 16.38 1639 15.42 1640 15.55 1641 15.09 1642 15.96 1643 15.06 1644 15.22 1645 14.76 1646 15.14 1647 14.93 1648 15.35 1649 14.58 1650 14.73 1651 15.19 1652 15.60 1653 14.35 1654 14.97 1655 15.76 1656 15.66 1657 15.58 1658 15.00 1659 15.72 1660 15.44 1661 15.44 1662 14.84 1663 15.16 1664 14.71 1665 15.58 1666 14.61 1667 15.01 1668 15.43 1669 15.50 1670 15.17 1671 15.06 1672 14.79 1673 15.20 1674 14.53 1675 15.75 1676 14.68 1677 15.50 1678 15.13 1679 15.50 1680 15.22 1681 15.21 1682 15.32 1683 15.19 1684 15.57 1685 15.18 1686 15.37 1687 15.49 1688 15.15 1689 15.38 1690 15.59 1691 15.68 1692 15.26 1693 15.52 1694 13.58 1695 15.30 1696 13.35 1697 14.85 1698 13.69 1699 14.87 1700 14.51 1701 14.80 1702 15.02 1703 14.85 1704 14.88 1705 15.29 1706 14.95 1707 15.34 1708 15.82 1709 15.58 1710 15.63 1711 15.67 1712 15.76 1713 15.78 1714 15.45 1715 15.71 1716 15.90 1717 15.22 1718 15.49 1719 15.31 1720 15.80 1721 15.46 1722 14.98 1723 15.72 1724 15.70 1725 15.79 1726 15.72 1727 16.27 1728 15.38 1729 15.72 1730 15.68 1731 14.35 1732 15.87 1733 15.49 1734 15.45 1735 15.96 1736 15.21 1737 15.83 1738 15.67 1739 15.31 1740 15.15 1741 15.28 1742 15.79 1743 15.32 1744 15.70 1745 14.66 1746 15.32 1747 16.06 1748 15.62 1749 15.64 1750 15.43 1751 15.17 1752 16.01 1753 15.29 1754 15.30 1755 13.92 1756 15.35 1757 15.09 1758 15.51 1759 15.72 1760 15.67 1761 14.09 1762 15.45 1763 15.18 1764 15.34 1765 15.72 1766 15.67 1767 15.18 1768 15.72 1769 14.89 1770 15.90 1771 15.66 1772 15.77 1773 15.66 1774 16.19 1775 15.97 1776 15.65 1777 15.38 1778 15.37 1779 14.88 1780 15.41 1781 15.26 1782 15.57 1783 13.61 1784 15.32 1785 15.47 1786 15.29 1787 15.39 1788 15.56 1789 16.06 1790 15.44 1791 14.97 1792 16.04 1793 15.09 1794 15.65 1795 15.66 1796 15.49 1797 16.26 1798 15.95 1799 15.78 1800 15.87 1801 15.93 1802 15.66 1803 14.34 1804 15.71 1805 16.05 1806 15.77 1807 16.65 1808 15.87 1809 15.90 1810 16.32 1811 15.05 1812 14.68 1813 14.73 1814 15.53 1815 15.64 1816 14.88 1817 15.02 1818 15.79 1819 15.84 1820 15.95 1821 15.96 1822 16.33 1823 15.92 1824 16.20 1825 15.87 1826 16.44 1827 16.08 1828 16.30 1829 16.03 1830 15.88 1831 15.65 1832 15.40 1833 15.86 1834 16.17 1835 15.49 1836 15.42 1837 15.02 1838 15.70 1839 14.78 1840 15.54 1841 14.64 1842 15.84 1843 16.29 1844 15.62 1845 15.35 1846 15.86 1847 15.75 1848 15.83 1849 15.54 1850 15.39 1851 14.90 1852 15.92 1853 15.94 1854 15.75 1855 15.75 1856 16.27 1857 16.43 1858 15.74 1859 15.87 1860 16.13 1861 16.37 1862 15.92 1863 16.16 1864 16.18 1865 16.04 1866 15.97 1867 16.16 1868 15.93 1869 14.93 1870 16.06 1871 16.54 1872 16.45 1873 16.14 1874 16.43 1875 16.24 1876 16.20 1877 16.12 1878 16.87 1879 16.58 1880 16.12 1881 16.63 1882 15.41 1883 15.96 1884 16.42 1885 15.27 1886 15.51 1887 15.21 1888 16.05 1889 16.34 1890 15.53 1891 16.42 1892 16.15 1893 16.32 1894 15.78 1895 15.60 1896 15.93 1897 15.68 1898 16.07 1899 15.93 1900 16.12 1901 15.94 1902 15.57 1903 15.69 1904 15.97 1905 15.47 1906 16.00 1907 15.75 1908 16.30 1909 15.93 1910 16.16 1911 15.55 1912 16.36 1913 15.99 1914 16.25 1915 16.04 1916 16.65 1917 15.80 1918 15.64 1919 16.18 1920 15.04 1921 15.80 1922 15.88 1923 15.99 1924 16.64 1925 16.76 1926 16.63 1927 16.52 1928 16.12 1929 16.74 1930 16.39 1931 16.32 1932 16.16 1933 16.67 1934 15.53 1935 16.29 1936 16.19 1937 16.31 1938 16.39 1939 16.63 1940 15.82 1941 16.36 1942 16.64 1943 16.90 1944 17.04 1945 16.05 1946 15.97 1947 16.83 1948 16.83 1949 15.82 1950 16.60 1951 15.75 1952 16.64 1953 16.29 1954 15.58 1955 16.63 1956 16.71 1957 15.35 1958 15.67 1959 16.02 1960 16.38 1961 16.25 1962 16.61 1963 15.87 1964 15.68 1965 16.25 1966 16.19 1967 16.07 1968 16.41 1969 16.14 1970 16.13 1971 16.30 1972 15.27 1973 17.02 1974 15.78 1975 15.91 1976 16.21 1977 16.31 1978 16.74 1979 15.96 1980 16.65 1981 15.67 1982 16.15 1983 16.77 1984 16.76 1985 16.04 1986 15.83 1987 15.94 1988 16.09 1989 15.66 1990 16.11 1991 16.49 1992 16.26 1993 15.81 1994 17.15 1995 16.71 1996 16.58 1997 16.85 1998 16.21 1999 17.04 2000 17.06 2001 17.24 2002 17.35 2003 16.54 2004 17.15 2005 16.82