# europe_pola017 - Wroclaw - 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: europe_pola017 - Wroclaw - 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: Wroclaw # Location: # Country: Poland # Northernmost_Latitude: 51.25 # Southernmost_Latitude: 51.25 # Easternmost_Longitude: 17.17 # Westernmost_Longitude: 17.17 # Elevation: 180 m #-------------------- # Data_Collection # Collection_Name: europe_pola017B # Earliest_Year: 1788 # Most_Recent_Year: 1986 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.32349502347"}{"T2":"16.4073228119"}{"M1":"0.0229853208083"}{"M2":"0.528529108709"} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1788 1.1 1789 1.15 1790 0.7 1791 0.825 1792 0.843 1793 1.183 1794 1.11 1795 0.719 1796 0.766 1797 0.596 1798 0.981 1799 0.992 1800 0.604 1801 0.844 1802 0.976 1803 0.707 1804 1.032 1805 0.711 1806 0.645 1807 1.159 1808 1.23 1809 0.929 1810 0.999 1811 0.799 1812 0.794 1813 0.644 1814 0.869 1815 1.016 1816 0.918 1817 0.908 1818 0.87 1819 0.723 1820 0.875 1821 0.648 1822 0.904 1823 1.091 1824 0.978 1825 0.804 1826 0.879 1827 0.927 1828 0.843 1829 0.842 1830 1.17 1831 1.286 1832 0.949 1833 1.044 1834 0.99 1835 0.791 1836 0.735 1837 0.811 1838 0.713 1839 1.193 1840 1.184 1841 0.906 1842 0.788 1843 1.047 1844 1.064 1845 0.986 1846 0.978 1847 1.079 1848 0.97 1849 0.854 1850 0.995 1851 1.124 1852 1.047 1853 0.951 1854 1.185 1855 1.279 1856 0.979 1857 0.675 1858 0.574 1859 0.771 1860 1.182 1861 1.132 1862 1.38 1863 1.171 1864 1.174 1865 0.779 1866 0.853 1867 1.213 1868 1.181 1869 1.157 1870 1.284 1871 1.459 1872 1.043 1873 0.775 1874 0.844 1875 1.028 1876 0.824 1877 1.042 1878 1.139 1879 1.279 1880 1.286 1881 1.041 1882 0.806 1883 1.064 1884 1.238 1885 0.902 1886 1.115 1887 0.907 1888 0.893 1889 1.051 1890 1.429 1891 1.292 1892 1.098 1893 0.777 1894 0.935 1895 0.664 1896 1.115 1897 0.99 1898 1.069 1899 1.096 1900 1.031 1901 0.974 1902 1.013 1903 1.186 1904 0.807 1905 1.108 1906 0.875 1907 0.967 1908 1.105 1909 1.046 1910 0.911 1911 0.933 1912 0.875 1913 1.059 1914 0.943 1915 0.884 1916 1.161 1917 1.036 1918 0.905 1919 1.098 1920 1.064 1921 0.803 1922 1.004 1923 0.937 1924 0.957 1925 1.057 1926 1.205 1927 1.471 1928 1.189 1929 0.946 1930 0.917 1931 1.224 1932 1.31 1933 1.196 1934 1.048 1935 1.133 1936 1.102 1937 0.813 1938 1.108 1939 1.031 1940 0.695 1941 0.849 1942 1.085 1943 1.009 1944 1.015 1945 1.143 1946 1.183 1947 0.813 1948 1.065 1949 0.869 1950 0.777 1951 0.721 1952 0.769 1953 0.779 1954 1.018 1955 0.967 1956 0.922 1957 1.052 1958 1.19 1959 0.789 1960 0.795 1961 0.887 1962 0.827 1963 0.876 1964 0.788 1965 1.025 1966 0.908 1967 1.073 1968 0.742 1969 0.806 1970 0.752 1971 0.877 1972 0.806 1973 0.741 1974 0.724 1975 0.96 1976 0.73 1977 0.942 1978 0.942 1979 0.949 1980 0.758 1981 0.912 1982 1.122 1983 0.981 1984 0.957 1985 0.838 1986 1.066