# Shanxi Province, Northern China 225 Year Precipitation 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/30272 # Description: NOAA Landing Page # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/reconstructions/asia/china/shanxi2015precip.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: precipitation #-------------------- # Contribution_Date # Date: 2020-06-23 #-------------------- # File_Last_Modified_Date # Date: 2020-06-23 #-------------------- # Title # Study_Name: Shanxi Province, Northern China 225 Year Precipitation Reconstruction #-------------------- # Investigators # Investigators: Li, Q.; Liu, Y.; Nakatsuka, T.; Song, H.; McCarroll, D.; Yang, Y.; Qi, J. #-------------------- # Description_Notes_and_Keywords # Description: 225 year precipitation reconstruction for Shanxi Province, north China based on Chinese pine and North China larch tree ring width and oxygen isotope data. #-------------------- # Publication # Authors: Qiang Li, Yu Liu, Takeshi Nakatsuka, Huiming Song, Danny McCarroll, Yinke Yang, Jun Qi # Published_Date_or_Year: 2015-09-01 # Published_Title: The 225-year precipitation variability inferred from tree-ring records in Shanxi Province, the North China, and its teleconnection with Indian summer monsoon # Journal_Name: Global and Planetary Change # Volume: 132 # Edition: # Issue: # Pages: 11-19 # Report_Number: # DOI: 10.1016/j.gloplacha.2015.06.005 # Online_Resource: https://www.sciencedirect.com/science/article/pii/S0921818115001253 # Full_Citation: # Abstract: Understanding the interactions between the East Asian summer monsoon and Indian summer monsoon is a challenging task because of the insufficient proxy records. In this study, we reconstructed a 225-year precipitation record by combining ring widths of Pinus tabulaeformis and stable oxygen isotope ratios of Larix principis-rupprechtii using a multi-proxy dendroclimatology approach in the North China. The reconstructed record explained 51.9% of the variance in the observed precipitation during 1955-2003. The precipitation series could indicate the intensity of the East Asian summer monsoon. A spatial field analysis indicated that the series was strongly correlated with the reconstructed records of the surrounding area and a large part of the Indian subcontinent. The reconstructed records were significantly and positively correlated with All Indian Precipitation records (r = 0.32, n = 132, p < 0.001) and with a proxy of the Indian summer monsoon. These findings suggest that a persistent teleconnection exists between the reconstructed record and the Indian summer monsoon records from the past 225 years. The observed interannual synchronisation potentially resulted from the transport of partial water vapour from the Indian summer monsoon area to NC; however, this synchronisation could not be attributed to the El Nino-South Oscillation (ENSO). When considering an interdecadal time scale, the synchronisation with the North Atlantic Oscillation (NAO) has varied since 1779, implying that the NAO may serve as an additional atmospheric pattern that affects this teleconnection. #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China (NCFC) # Grant: 41201046, 40890051 #------------------ # Funding_Agency # Funding_Agency_Name: Chinese Academy of Sciences (CAS) # Grant: KZZD-EW-04-01, West Doctoral Foundation #------------------ # Funding_Agency # Funding_Agency_Name: State Key Laboratory of Loess and Quaternary Geology # Grant: 1110, 1230 #------------------ # Site_Information # Site_Name: Shanxi # Location: Asia>East Asia>China # Northernmost_Latitude: 38.833 # Southernmost_Latitude: 38.733 # Easternmost_Longitude: 112.083 # Westernmost_Longitude: 111.833 # Elevation: 1600-2600 #------------------ # Data_Collection # Collection_Name: Shanxi2015precip # Earliest_Year: 1872 # Most_Recent_Year: 2003 # Time_Unit: Year CE # Core_Length: # Notes: Ningwu and Mt. Luya #------------------ # 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, , tree ring; climate reconstructions, , ,N, ## precip precipitation, , , millimeter, Aug-Jul,tree ring; climate reconstructions,,,N,Precipitation reconstruction from August of previous year to July of current year # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_CE precip 1872 441.34 1873 470.81 1874 471.35 1875 433.7 1876 466.29 1877 383.47 1878 337.62 1879 435.5 1880 425.57 1881 393.65 1882 462.69 1883 470.26 1884 326.22 1885 531.26 1886 458.4 1887 502.32 1888 366.56 1889 441.98 1890 462.8 1891 401.99 1892 370.01 1893 493.95 1894 492.64 1895 582.69 1896 500.99 1897 564.33 1898 227.78 1899 484.95 1900 315.21 1901 421.16 1902 418.67 1903 465.58 1904 469.04 1905 417.17 1906 308.37 1907 516.82 1908 473.39 1909 459.4 1910 276.62 1911 493.16 1912 499.36 1913 426.31 1914 474.23 1915 383.38 1916 216.97 1917 414.69 1918 547.81 1919 416.5 1920 487.61 1921 422.59 1922 411.85 1923 509.48 1924 475.01 1925 441.55 1926 260.72 1927 482.77 1928 284.63 1929 358.67 1930 523.99 1931 376.52 1932 407.44 1933 549.87 1934 547.49 1935 492.51 1936 472.27 1937 483.13 1938 487.75 1939 427.52 1940 411.01 1941 371.07 1942 310.5 1943 518.93 1944 498.54 1945 371.19 1946 492.8 1947 221.21 1948 512.72 1949 481.13 1950 613.25 1951 295.57 1952 458.07 1953 533.98 1954 597.27 1955 378.76 1956 684.63 1957 403.07 1958 496.21 1959 469.94 1960 412.66 1961 455.96 1962 529.81 1963 422.75 1964 539.44 1965 359.61 1966 322.94 1967 431.1 1968 402.34 1969 455.74 1970 531.32 1971 438.78 1972 293.71 1973 315.16 1974 491.7 1975 391.89 1976 497.93 1977 565.19 1978 351.57 1979 529.32 1980 405.33 1981 525.66 1982 381.89 1983 459.84 1984 482.56 1985 273.32 1986 415.1 1987 331.32 1988 472.35 1989 438.07 1990 465.32 1991 403.39 1992 265.57 1993 463.5 1994 361.14 1995 421.69 1996 523.35 1997 465.62 1998 569.5 1999 195.08 2000 327.05 2001 330.74 2002 469.49 2003 440.88