# North-central China 342 Year Earlywood Density Temperature Reconstruction #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original reference when using these data, # plus the Online Resource and date accessed. # # # Online_Resource: http://ncdc.noaa.gov/paleo/study/17033 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/asia/china/n-china2014temp.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions #-------------------- # Contribution_Date # Date: 2014-09-10 #-------------------- # Title # Study_Name: North-central China 342 Year Earlywood Density Temperature Reconstruction #-------------------- # Investigators # Investigators: Chen, F.; Yuan, Y.J. #-------------------- # Description_and_Notes # Description: Spring (May-June) maximum temperature reconstruction for Tianshui, north-central China, # based on tree ring mean earlywood density data. Data are from Fig.6, Chen and Yuan 2014, including # the maximum temperature reconstruction plus 10-year low-pass filtered series. # #-------------------- # Publication # Authors: Feng Chen, Yujiang Yuan # Published_Date_or_YEAR: 2014-09-10 # Published_Title: May-June maximum temperature reconstruction from mean earlywood density in north central China and its linkages to the summer monsoon activities # Journal_Name: PLOS One # Volume: 9 # Issue: 9 # Pages: # DOI: 10.1371/journal.pone.0107501 # Abstract: Cores of Pinus tabulaformis from Tianshui were subjected to densitometric analysis to obtain mean earlywood density data. Climate response analysis indicates that May-June maximum temperature is the main factor limiting the mean earlywood density (EWD) of Chinese pine trees in the Shimen Mountains. Based on the EWD chronology, we have reconstructed May-June maximum temperature 1666 to 2008 for Tianshui, north central China. The reconstruction explains 40.1% of the actual temperature variance during the common period 1953-2008. The temperature reconstruction is representative of temperature conditions over a large area to the southeast and northwest of the sampling site. Preliminary analysis of links between large-scale climatic variation and the temperature reconstruction shows that there is a relationship between extremes in spring temperature and anomalous atmospheric circulation in the region. It is thus revealed that the mean earlywood density chronology of Pinus tabulaformis has enough potential to reconstruct the temperature variability further into the past. # #-------------------- # Funding_Agency_Name: National Basic Research Program of China # Grant: 973 Program 2010CB951001 #--------------------- # Site_Information # Site_Name: Tianshui # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 34.45 # Southernmost_Latitude: 34.45 # Easternmost_Longitude: 106.15 # Westernmost_Longitude: 106.15 # Elevation: 2050-2100 m #------------------ # Data_Collection # Core_Name: Tianshui2014temp # First_Year: 1666 # Last_Year: 2008 # Time_Unit: AD # Core_Length: # Notes: #------------------ # Chronology # # surface temperature, Apr-Jun (deg C) # #---------------- # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##age_AD age, , , AD, , , , ,N ##tempmax-MJ maximum surface temperature, , , degrees C, May-June, climate reconstruction, mean earlywood density, ,N ##tempmax-MJsm maximum surface temperature 10 year moving average, , , degrees C, May-June, climate reconstruction, mean earlywood density, ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_AD tempmax-MJ tempmax-MJsm 1666 25.12 25.30 1667 25.47 25.45 1668 25.82 25.58 1669 25.51 25.66 1670 25.43 25.69 1671 26.39 25.66 1672 25.40 25.56 1673 25.16 25.40 1674 25.50 25.24 1675 24.71 25.08 1676 25.22 24.95 1677 24.71 24.85 1678 24.68 24.79 1679 24.74 24.79 1680 25.06 24.82 1681 24.73 24.87 1682 24.71 24.95 1683 25.28 25.06 1684 25.39 25.16 1685 25.07 25.24 1686 25.22 25.32 1687 25.64 25.41 1688 25.36 25.48 1689 25.42 25.56 1690 25.41 25.64 1691 26.33 25.71 1692 25.63 25.73 1693 25.62 25.71 1694 25.64 25.69 1695 25.57 25.67 1696 26.02 25.66 1697 25.37 25.65 1698 25.43 25.68 1699 25.77 25.74 1700 26.13 25.80 1701 25.81 25.84 1702 25.97 25.86 1703 25.36 25.88 1704 26.00 25.92 1705 26.07 25.93 1706 26.15 25.88 1707 26.15 25.75 1708 25.23 25.58 1709 24.95 25.43 1710 25.42 25.33 1711 25.77 25.26 1712 24.72 25.20 1713 25.42 25.18 1714 25.03 25.20 1715 25.27 25.25 1716 24.77 25.34 1717 26.32 25.43 1718 25.61 25.47 1719 25.29 25.48 1720 24.67 25.51 1721 25.99 25.59 1722 26.04 25.64 1723 25.61 25.63 1724 25.27 25.58 1725 26.09 25.50 1726 25.05 25.39 1727 25.25 25.30 1728 25.08 25.26 1729 25.26 25.26 1730 25.16 25.29 1731 25.34 25.32 1732 25.68 25.32 1733 25.77 25.26 1734 24.92 25.17 1735 24.71 25.12 1736 24.64 25.17 1737 25.51 25.31 1738 25.47 25.46 1739 26.27 25.57 1740 25.55 25.61 1741 25.24 25.59 1742 25.88 25.57 1743 25.53 25.55 1744 25.12 25.56 1745 25.45 25.61 1746 25.60 25.69 1747 26.58 25.73 1748 25.49 25.69 1749 25.70 25.61 1750 25.33 25.51 1751 25.31 25.43 1752 25.16 25.39 1753 25.51 25.39 1754 26.15 25.38 1755 24.67 25.36 1756 24.93 25.40 1757 25.80 25.49 1758 25.97 25.56 1759 25.75 25.59 1760 24.96 25.59 1761 25.97 25.60 1762 25.76 25.61 1763 25.43 25.62 1764 25.69 25.66 1765 25.48 25.75 1766 25.45 25.88 1767 26.35 26.02 1768 26.77 26.10 1769 25.68 26.07 1770 26.68 25.97 1771 25.17 25.83 1772 25.70 25.72 1773 25.49 25.66 1774 25.52 25.65 1775 25.85 25.66 1776 26.03 25.66 1777 25.63 25.64 1778 25.27 25.62 1779 25.36 25.64 1780 26.17 25.68 1781 25.29 25.71 1782 26.46 25.73 1783 25.16 25.71 1784 25.64 25.69 1785 26.06 25.67 1786 25.29 25.62 1787 25.85 25.57 1788 25.56 25.52 1789 24.96 25.47 1790 26.07 25.46 1791 24.92 25.47 1792 25.91 25.51 1793 24.98 25.57 1794 25.82 25.65 1795 25.93 25.70 1796 26.10 25.70 1797 25.55 25.63 1798 25.34 25.55 1799 24.80 25.51 1800 25.80 25.50 1801 26.68 25.46 1802 24.84 25.36 1803 24.68 25.29 1804 25.30 25.31 1805 25.68 25.41 1806 25.15 25.55 1807 25.98 25.72 1808 25.45 25.89 1809 27.02 26.00 1810 25.69 26.03 1811 25.35 26.01 1812 27.03 25.94 1813 25.65 25.79 1814 25.15 25.63 1815 25.71 25.50 1816 25.22 25.42 1817 25.56 25.39 1818 25.39 25.43 1819 24.81 25.54 1820 25.94 25.72 1821 26.32 25.90 1822 25.53 26.00 1823 26.92 26.01 1824 26.69 25.88 1825 24.76 25.69 1826 24.86 25.58 1827 25.22 25.60 1828 27.00 25.70 1829 25.26 25.80 1830 25.05 25.93 1831 27.11 26.07 1832 26.20 26.12 1833 26.08 26.09 1834 26.20 26.00 1835 25.29 25.88 1836 26.23 25.79 1837 25.62 25.71 1838 25.26 25.66 1839 25.77 25.67 1840 25.90 25.72 1841 25.44 25.77 1842 26.24 25.83 1843 25.62 25.86 1844 25.74 25.87 1845 26.45 25.83 1846 25.60 25.74 1847 25.74 25.63 1848 25.24 25.53 1849 25.23 25.49 1850 25.49 25.52 1851 25.68 25.60 1852 25.94 25.68 1853 25.97 25.74 1854 25.04 25.80 1855 26.03 25.89 1856 26.34 25.96 1857 26.04 25.96 1858 26.25 25.91 1859 25.42 25.84 1860 25.28 25.79 1861 26.26 25.79 1862 26.13 25.79 1863 25.09 25.80 1864 26.20 25.84 1865 25.84 25.88 1866 25.52 25.93 1867 26.45 25.97 1868 25.82 25.96 1869 26.50 25.89 1870 25.65 25.75 1871 24.92 25.63 1872 25.41 25.56 1873 26.15 25.51 1874 25.33 25.44 1875 25.55 25.37 1876 25.30 25.30 1877 24.63 25.28 1878 24.92 25.34 1879 26.60 25.41 1880 25.24 25.43 1881 25.21 25.40 1882 25.49 25.37 1883 24.92 25.34 1884 25.96 25.32 1885 24.95 25.28 1886 25.05 25.26 1887 25.42 25.27 1888 25.58 25.28 1889 25.00 25.28 1890 25.16 25.31 1891 25.57 25.36 1892 25.48 25.42 1893 25.09 25.48 1894 25.87 25.56 1895 25.78 25.62 1896 25.47 25.67 1897 25.15 25.72 1898 26.70 25.76 1899 25.08 25.75 1900 26.33 25.69 1901 25.43 25.58 1902 25.52 25.44 1903 24.99 25.31 1904 25.80 25.21 1905 24.48 25.17 1906 24.69 25.22 1907 25.20 25.36 1908 27.24 25.47 1909 24.95 25.49 1910 24.85 25.50 1911 25.41 25.54 1912 25.58 25.61 1913 26.39 25.62 1914 25.38 25.56 1915 25.96 25.43 1916 24.72 25.29 1917 24.62 25.21 1918 25.51 25.22 1919 25.76 25.27 1920 24.98 25.34 1921 24.81 25.46 1922 26.11 25.62 1923 26.10 25.72 1924 26.22 25.75 1925 24.67 25.73 1926 26.28 25.73 1927 24.97 25.71 1928 27.07 25.67 1929 24.61 25.56 1930 25.69 25.46 1931 25.63 25.35 1932 25.09 25.26 1933 24.37 25.23 1934 25.97 25.27 1935 25.54 25.31 1936 24.84 25.35 1937 25.51 25.39 1938 25.43 25.43 1939 25.80 25.42 1940 25.04 25.36 1941 25.94 25.27 1942 24.79 25.15 1943 24.48 25.09 1944 25.12 25.10 1945 25.75 25.14 1946 25.16 25.17 1947 25.10 25.21 1948 24.83 25.31 1949 25.07 25.47 1950 26.38 25.65 1951 25.94 25.75 1952 25.57 25.76 1953 26.14 25.69 1954 25.27 25.56 1955 25.77 25.42 1956 24.97 25.31 1957 24.65 25.28 1958 25.54 25.35 1959 25.56 25.47 1960 26.11 25.58 1961 24.65 25.67 1962 27.00 25.75 1963 25.17 25.76 1964 25.51 25.76 1965 25.83 25.73 1966 26.66 25.65 1967 24.62 25.51 1968 25.62 25.40 1969 25.21 25.32 1970 24.83 25.30 1971 25.58 25.33 1972 25.48 25.37 1973 25.90 25.39 1974 25.14 25.38 1975 24.63 25.41 1976 26.00 25.48 1977 25.58 25.55 1978 25.13 25.60 1979 26.56 25.60 1980 24.68 25.53 1981 26.30 25.41 1982 25.56 25.23 1983 24.20 25.05 1984 24.38 24.98 1985 25.14 25.02 1986 26.08 25.10 1987 24.66 25.16 1988 24.93 25.25 1989 25.74 25.37 1990 25.74 25.49 1991 25.32 25.61 1992 25.31 25.77 1993 25.48 25.97 1994 27.16 26.13 1995 26.94 26.16 1996 25.14 26.07 1997 26.54 25.94 1998 25.33 25.80 1999 24.58 25.73 2000 27.46 25.71 2001 25.56 25.64 2002 24.82 25.60 2003 25.59 25.65 2004 26.94 25.79 2005 24.92 26.01 2006 25.85 26.39 2007 27.26 26.93 2008 27.91 27.54