# asia_russ075w - Nyuchpas - 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_russ075w - Nyuchpas - 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: Nyuchpas # Location: # Country: Russia # Northernmost_Latitude: 60.7 # Southernmost_Latitude: 60.7 # Easternmost_Longitude: 51.38 # Westernmost_Longitude: 51.38 # Elevation: 160 m #-------------------- # Data_Collection # Collection_Name: asia_russ075wB # Earliest_Year: 1807 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.78713845354"}{"T2":"13.5745261977"}{"M1":"0.0227263215652"}{"M2":"0.573152647433"} #-------------------- # 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 1807 1.19 1808 0.909 1809 0.883 1810 0.656 1811 0.684 1812 0.729 1813 0.793 1814 0.963 1815 0.888 1816 1.023 1817 0.896 1818 1.34 1819 1.039 1820 1.426 1821 1.864 1822 1.061 1823 1.094 1824 0.994 1825 1.251 1826 1.158 1827 0.999 1828 1.136 1829 1.219 1830 1.13 1831 1.19 1832 1.124 1833 1.138 1834 1.068 1835 0.865 1836 0.826 1837 1.19 1838 1.151 1839 1.348 1840 1.312 1841 1.288 1842 0.968 1843 1.166 1844 1.454 1845 1.077 1846 1.009 1847 1.071 1848 0.818 1849 0.865 1850 0.821 1851 0.52 1852 0.786 1853 0.962 1854 1.31 1855 1.322 1856 1.565 1857 1.083 1858 1.151 1859 1.342 1860 1.228 1861 1.134 1862 0.648 1863 0.75 1864 1.087 1865 1.022 1866 1.151 1867 0.937 1868 0.971 1869 0.939 1870 0.768 1871 0.59 1872 0.871 1873 1.116 1874 0.818 1875 0.8 1876 0.829 1877 0.67 1878 1.059 1879 0.961 1880 1.068 1881 0.772 1882 0.831 1883 0.832 1884 1.068 1885 1.003 1886 0.932 1887 0.649 1888 0.947 1889 0.806 1890 0.954 1891 0.923 1892 1.07 1893 1.107 1894 0.847 1895 0.773 1896 0.799 1897 0.936 1898 1.038 1899 0.988 1900 0.939 1901 0.932 1902 1.178 1903 0.802 1904 0.942 1905 0.963 1906 1.138 1907 0.839 1908 0.583 1909 0.869 1910 0.656 1911 0.84 1912 0.722 1913 0.838 1914 0.859 1915 0.994 1916 0.893 1917 0.724 1918 0.702 1919 0.664 1920 0.533 1921 0.52 1922 0.483 1923 0.673 1924 0.701 1925 0.92 1926 0.839 1927 1.267 1928 1.318 1929 1.459 1930 1.465 1931 1.465 1932 1.312 1933 1.27 1934 0.99 1935 1.082 1936 1.181 1937 0.67 1938 0.586 1939 0.727 1940 0.661 1941 0.334 1942 1.102 1943 1.107 1944 1.157 1945 0.996 1946 1.308 1947 1.357 1948 1.153 1949 1.475 1950 1.344 1951 1.054 1952 1.299 1953 1.278 1954 1.077 1955 0.96 1956 1.162 1957 1.248 1958 0.927 1959 1.001 1960 1.229 1961 0.697 1962 1.095 1963 1.197 1964 1.145 1965 1.016 1966 1.042 1967 0.66 1968 0.995 1969 0.524 1970 0.574 1971 0.767 1972 0.616 1973 0.609 1974 0.612 1975 0.634 1976 0.896 1977 1.157 1978 0.892 1979 1.044 1980 1.078 1981 0.974 1982 0.651 1983 0.55 1984 1.06 1985 0.897 1986 0.65 1987 1.076 1988 0.933 1989 0.729 1990 0.654 1991 1.036