# North-Central China 231 Year Regional 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/30273 # Description: NOAA Landing Page # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/li2018/li2018temp.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Data Type: Climate Reconstructions # # Dataset DOI: # # Parameter_Keywords: air temperature #-------------------- # Contribution_Date # Date: 2020-06-23 #-------------------- # File_Last_Modified_Date # Date: 2020-06-23 #-------------------- # Title # Study_Name: North-Central China 231 Year Regional Summer Temperature Reconstruction #-------------------- # Investigators # Investigators: Li, Q.; Liu, Y.; Zhao, B.; Song, H.; Liu, R. #-------------------- # Description_Notes_and_Keywords # Description: Multiproxy (tree rings, stalagmites, and historical documents) regional summer (May-August) temperature reconstruction for the past 231 years for North-Central China. # Provided Keywords: tree ring width, stalagmite growth layer, historical document #-------------------- # Publication # Authors: Qiang Li, Yu Liu, Boyang Zhao, Huiming Song, Ruoshi Liu # Published_Date_or_Year: 2018-09-10 # Published_Title: Temperature variability in North-Central China during the past 231 years based on multiple proxies # Journal_Name: Quaternary International # Volume: 487 # Edition: # Issue: # Pages: 26-32 # Report_Number: # DOI: 10.1016/j.quaint.2017.12.030 # Online_Resource: https://www.sciencedirect.com/science/article/abs/pii/S1040618217311187 # Full_Citation: # Abstract: Several temperature-sensitive paleoclimate proxies, including tree rings, stalagmites, and historical documents, were employed to derive regional temperature signals for the period 1779-1985 via principal component analysis (PCA). The PCA series was significantly correlated with gridded temperature datasets for Northeast China, the Korean Peninsula, and part of Japan. Based on statistical correlation between the PCA series and observed temperature records, we regionally reconstructed May-August temperature variations for 1779 to 2009. The reconstruction explained 53.4% of the variance in observed summer temperature during the instrumental period. Intervals with persistent decadal warm and cold periods in the past 231 years were detected. The results suggest that, of the past 231 years, the past half century suffered unprecedented warming in North-Central China, which may be related to increasing human activities since the Anthropocene epoch. #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China (NCFC) # Grant: 41630531, XDPB05, GJHZ1777 #------------------ # Funding_Agency # Funding_Agency_Name: Chinese Academy of Sciences (CAS) # Grant: QYZDJ-SSW-DQC021, West Light Foundation, Youth Innovation Promotion Association (No.2017451), #------------------ # Funding_Agency # Funding_Agency_Name: State Key Laboratory of Loess and Quaternary Geology # Grant: Cultivating Foundation #------------------ # Funding_Agency # Funding_Agency_Name: Shaanxi Province # Grant: Young Star of Science and Technology #------------------ # Site_Information # Site_Name: North-central China # Location: Asia>East Asia>China # Northernmost_Latitude: 41 # Southernmost_Latitude: 33 # Easternmost_Longitude: 118 # Westernmost_Longitude: 108 # Elevation: #------------------ # Data_Collection # Collection_Name: Li2018Temp # Earliest_Year: 1779 # Most_Recent_Year: 2009 # Time_Unit: Year 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, May-Aug, climate reconstructions, , ,N, ## temp air temperature, , , degree Celsius, May-Aug,climate reconstructions,,principal component analysis,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_CE temp 1779 26.88 1780 27.33 1781 26.49 1782 26.92 1783 27.45 1784 27.26 1785 27.04 1786 26.93 1787 27.26 1788 27.46 1789 27.79 1790 27.37 1791 27.69 1792 27.8 1793 26.62 1794 26.66 1795 26.63 1796 27.22 1797 27.37 1798 26.95 1799 27.03 1800 27.06 1801 26.87 1802 26.61 1803 26.35 1804 26.69 1805 27.68 1806 26.32 1807 27.28 1808 27.14 1809 27.23 1810 27.38 1811 27.67 1812 27.55 1813 27.62 1814 27.91 1815 27.5 1816 27.09 1817 27.04 1818 27.42 1819 26.59 1820 26.93 1821 27.26 1822 26.38 1823 27.29 1824 26.73 1825 26.55 1826 26.68 1827 27.2 1828 26.7 1829 26.89 1830 27.21 1831 27.82 1832 27.8 1833 27.56 1834 27.53 1835 27.07 1836 27.25 1837 27.3 1838 27.06 1839 27.82 1840 27.86 1841 27.96 1842 27.89 1843 26.89 1844 26.8 1845 27.22 1846 27.31 1847 27.33 1848 26.86 1849 26.8 1850 26.9 1851 27.17 1852 26.93 1853 27.27 1854 27.75 1855 27.64 1856 27.5 1857 27.65 1858 27.32 1859 27.44 1860 27.37 1861 27.51 1862 27.33 1863 26.69 1864 27.09 1865 27.53 1866 27.05 1867 27.68 1868 27.23 1869 26.77 1870 26.17 1871 26.1 1872 26.84 1873 26.86 1874 26.49 1875 27.12 1876 27.24 1877 27.44 1878 27.74 1879 27.26 1880 27.17 1881 27.13 1882 27.1 1883 26.8 1884 27.46 1885 26.69 1886 27.06 1887 26.71 1888 27.28 1889 26.98 1890 27.3 1891 27.2 1892 27.45 1893 27.16 1894 26.63 1895 26.62 1896 26.42 1897 26.35 1898 27.45 1899 27.08 1900 27.45 1901 27.29 1902 27.34 1903 27.26 1904 27.18 1905 27.18 1906 27.57 1907 26.95 1908 26.72 1909 26.64 1910 27.36 1911 26.75 1912 26.92 1913 26.86 1914 26.82 1915 27.26 1916 27.94 1917 27.95 1918 27.31 1919 27.81 1920 27.36 1921 27.32 1922 27.9 1923 27.44 1924 27.47 1925 27.31 1926 28.03 1927 27.83 1928 27.83 1929 28.01 1930 27.38 1931 27.9 1932 27.93 1933 26.99 1934 26.97 1935 27.13 1936 27.12 1937 27.08 1938 27 1939 27.74 1940 27.36 1941 27.63 1942 28.05 1943 27.26 1944 27.04 1945 27.5 1946 27.71 1947 28.26 1948 27.75 1949 27.22 1950 26.72 1951 27.68 1952 27.29 1953 27 1954 26.44 1955 27.38 1956 25.75 1957 26.7 1958 26.81 1959 27.21 1960 27.24 1961 27.2 1962 27.05 1963 27.58 1964 27.21 1965 27.64 1966 28.05 1967 27.64 1968 27.61 1969 27.1 1970 26.81 1971 26.93 1972 27.55 1973 27.57 1974 27.04 1975 27.77 1976 26.49 1977 26.35 1978 27.16 1979 26.54 1980 26.99 1981 27.06 1982 27.06 1983 27.05 1984 26.98 1985 27.66 1986 27.67 1987 27.15 1988 27.1 1989 27.09 1990 27.22 1991 27.62 1992 27.14 1993 26.22 1994 28.93 1995 27.47 1996 27.1 1997 29.01 1998 27.5 1999 28.74 2000 29.04 2001 29.4 2002 28.34 2003 27.54 2004 27.38 2005 29.38 2006 29.03 2007 29.14 2008 28.16 2009 28.98