# asia_mong004 - Terelj - Breitenmoser Tree Ring Chronology Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # 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: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_mong004 - Terelj - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Terelj # Location: # Country: Mongolia # Northernmost_Latitude: 47.9 # Southernmost_Latitude: 47.9 # Easternmost_Longitude: 107.45 # Westernmost_Longitude: 107.45 # Elevation: 1565 m #-------------------- # Data_Collection # Collection_Name: asia_mong004B # Earliest_Year: 1820 # Most_Recent_Year: 1994 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.14807451431"}{"T2":"16.7985388657"}{"M1":"0.0227178956848"}{"M2":"0.462095871401"} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # Chronology: # # # #-------------------- # 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 age, , ,years AD, , , , ,N ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1820 1.509 1821 0.663 1822 0.641 1823 1.011 1824 0.521 1825 0.649 1826 1.387 1827 1.266 1828 1.26 1829 1.852 1830 2.043 1831 1.816 1832 1.173 1833 1.273 1834 1.423 1835 0.496 1836 0.273 1837 1.52 1838 1.39 1839 0.434 1840 0.936 1841 0.811 1842 0.934 1843 1.513 1844 0.303 1845 0.81 1846 1.46 1847 0.542 1848 0.585 1849 1.423 1850 0.772 1851 1.386 1852 0.818 1853 1.067 1854 0.276 1855 0.438 1856 0.925 1857 1.657 1858 1.462 1859 0.803 1860 1.082 1861 1.193 1862 0.896 1863 1.356 1864 1.708 1865 0.888 1866 0.225 1867 0.077 1868 1.026 1869 0.422 1870 0.874 1871 0.505 1872 0.911 1873 0.96 1874 0.303 1875 1.068 1876 1.189 1877 1.062 1878 0.741 1879 1.153 1880 0.408 1881 2.087 1882 1.048 1883 0.401 1884 1.272 1885 0.588 1886 1.574 1887 1.655 1888 1.131 1889 0.94 1890 1.034 1891 0.673 1892 1.348 1893 0.952 1894 0.877 1895 2.194 1896 1.386 1897 1.131 1898 0.76 1899 0.711 1900 0.891 1901 0.847 1902 1.085 1903 0.071 1904 0.51 1905 0.545 1906 0.124 1907 0.363 1908 0.909 1909 1.112 1910 1.312 1911 1.579 1912 1.646 1913 0.621 1914 0.264 1915 0.84 1916 1.428 1917 2.182 1918 0.784 1919 2.111 1920 1.667 1921 1.542 1922 1.127 1923 0.574 1924 0.6 1925 0.721 1926 0.42 1927 0.863 1928 0.134 1929 0.543 1930 0.15 1931 0.912 1932 0.305 1933 1.189 1934 0.871 1935 0.96 1936 0.639 1937 0.727 1938 1.084 1939 1.194 1940 1.034 1941 1.512 1942 0.666 1943 0.502 1944 0.92 1945 0.587 1946 0.899 1947 0.25 1948 0.094 1949 1.076 1950 1.084 1951 1.006 1952 0.275 1953 1.377 1954 0.259 1955 1.406 1956 1.361 1957 0.59 1958 1.428 1959 1.738 1960 2.004 1961 1.275 1962 1.933 1963 1.393 1964 1.739 1965 1.2 1966 0.808 1967 1.953 1968 0.85 1969 0.206 1970 1.215 1971 1.032 1972 0.799 1973 0.787 1974 1.465 1975 1.185 1976 1.453 1977 1.109 1978 0.89 1979 0.895 1980 0.563 1981 0.481 1982 0.911 1983 1.008 1984 0.785 1985 1.351 1986 0.962 1987 0.347 1988 1.255 1989 0.819 1990 0.53 1991 1.451 1992 0.703 1993 0.889 1994 1.337