# europe_swit124 - Burchen Bielwald - 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_swit124 - Burchen Bielwald - 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: Burchen Bielwald # Location: # Country: Switzerland # Northernmost_Latitude: 46.28 # Southernmost_Latitude: 46.28 # Easternmost_Longitude: 7.83 # Westernmost_Longitude: 7.83 # Elevation: 1740 m #-------------------- # Data_Collection # Collection_Name: europe_swit124B # Earliest_Year: 1715 # Most_Recent_Year: 1980 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"3.87755796264"}{"T2":"17.1376379972"}{"M1":"0.0221335652296"}{"M2":"0.392738647781"} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1715 1.651 1716 1.165 1717 1.253 1718 1.225 1719 1.067 1720 1.015 1721 0.852 1722 1.143 1723 1.2 1724 0.906 1725 0.8 1726 1.061 1727 0.77 1728 0.978 1729 0.977 1730 1.111 1731 0.829 1732 0.956 1733 1.016 1734 0.78 1735 0.87 1736 1.058 1737 1.027 1738 0.863 1739 1.022 1740 0.969 1741 0.946 1742 0.741 1743 0.836 1744 0.909 1745 0.905 1746 0.735 1747 0.675 1748 0.824 1749 0.695 1750 0.602 1751 0.927 1752 0.842 1753 0.831 1754 0.987 1755 0.591 1756 0.805 1757 0.691 1758 0.617 1759 0.819 1760 0.729 1761 0.736 1762 0.443 1763 0.804 1764 0.8 1765 0.694 1766 0.815 1767 0.678 1768 0.724 1769 0.772 1770 0.802 1771 0.806 1772 0.903 1773 0.574 1774 0.863 1775 0.805 1776 0.969 1777 0.827 1778 0.948 1779 0.632 1780 0.808 1781 0.883 1782 0.735 1783 0.601 1784 0.702 1785 0.626 1786 0.751 1787 0.714 1788 0.577 1789 0.4 1790 0.635 1791 0.53 1792 0.528 1793 0.597 1794 0.589 1795 0.559 1796 0.626 1797 0.673 1798 0.634 1799 0.579 1800 0.54 1801 0.643 1802 0.75 1803 0.528 1804 0.58 1805 0.609 1806 0.594 1807 0.749 1808 0.591 1809 0.607 1810 0.611 1811 0.773 1812 0.701 1813 0.699 1814 0.655 1815 0.708 1816 0.547 1817 0.73 1818 0.727 1819 0.891 1820 0.805 1821 0.766 1822 1.165 1823 1.276 1824 1.245 1825 1.379 1826 1.203 1827 1.083 1828 1.123 1829 1.154 1830 1.002 1831 0.937 1832 0.889 1833 0.973 1834 0.994 1835 0.867 1836 0.959 1837 0.855 1838 0.818 1839 0.84 1840 1.078 1841 1.109 1842 1.104 1843 1.023 1844 1.115 1845 1.119 1846 1.43 1847 1.509 1848 1.63 1849 1.544 1850 1.507 1851 1.392 1852 1.354 1853 1.387 1854 1.379 1855 1.333 1856 1.356 1857 1.076 1858 0.983 1859 0.988 1860 0.846 1861 0.947 1862 0.954 1863 1.14 1864 1.191 1865 1.135 1866 1.191 1867 1.256 1868 1.223 1869 1.14 1870 1.118 1871 1.198 1872 1.124 1873 1.244 1874 1.147 1875 1.179 1876 1.146 1877 1.094 1878 1.204 1879 1.093 1880 1.152 1881 1.261 1882 1.369 1883 1.281 1884 1.055 1885 0.951 1886 0.906 1887 0.973 1888 0.946 1889 1.031 1890 1.034 1891 0.94 1892 1.211 1893 1.078 1894 0.953 1895 1.005 1896 1.034 1897 1.126 1898 1.067 1899 1.185 1900 1.127 1901 1.141 1902 1.119 1903 1.019 1904 1.058 1905 0.897 1906 0.816 1907 0.745 1908 1.126 1909 0.772 1910 0.952 1911 1.07 1912 0.862 1913 0.828 1914 0.861 1915 0.92 1916 0.864 1917 1.046 1918 0.874 1919 1.021 1920 0.972 1921 0.996 1922 0.842 1923 0.884 1924 0.936 1925 1.0 1926 1.004 1927 1.091 1928 1.032 1929 1.033 1930 0.98 1931 1.062 1932 1.015 1933 0.825 1934 1.054 1935 0.991 1936 1.047 1937 1.043 1938 1.057 1939 0.978 1940 1.008 1941 1.02 1942 1.05 1943 1.102 1944 1.029 1945 0.965 1946 0.971 1947 1.054 1948 0.73 1949 0.935 1950 0.858 1951 1.116 1952 1.043 1953 1.005 1954 0.938 1955 1.138 1956 0.958 1957 1.011 1958 0.995 1959 0.97 1960 0.906 1961 0.91 1962 0.784 1963 0.882 1964 0.929 1965 0.8 1966 0.877 1967 0.877 1968 0.813 1969 0.943 1970 0.877 1971 0.846 1972 0.851 1973 0.97 1974 0.697 1975 0.689 1976 0.688 1977 0.819 1978 0.727 1979 0.917 1980 0.745