# europe_spai037 - Guadarrama Loma de Noruego - 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_spai037 - Guadarrama Loma de Noruego - 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: Guadarrama Loma de Noruego # Location: # Country: Spain # Northernmost_Latitude: 40.78 # Southernmost_Latitude: 40.78 # Easternmost_Longitude: -3.8 # Westernmost_Longitude: -3.8 # Elevation: 1950 m #-------------------- # Data_Collection # Collection_Name: europe_spai037B # Earliest_Year: 1727 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.1217303207"}{"T2":"14.5731359437"}{"M1":"0.0226755568428"}{"M2":"0.264088575739"} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1727 1.173 1728 0.964 1729 1.033 1730 1.187 1731 0.916 1732 1.221 1733 1.141 1734 1.643 1735 1.241 1736 1.266 1737 1.712 1738 1.596 1739 1.197 1740 0.929 1741 1.126 1742 1.129 1743 0.835 1744 1.026 1745 1.093 1746 0.899 1747 0.921 1748 1.037 1749 0.816 1750 0.896 1751 0.924 1752 0.908 1753 0.893 1754 0.923 1755 0.868 1756 0.854 1757 1.009 1758 0.816 1759 0.915 1760 0.716 1761 0.927 1762 1.201 1763 0.856 1764 1.021 1765 1.031 1766 1.023 1767 0.959 1768 1.141 1769 1.062 1770 1.13 1771 0.785 1772 0.869 1773 0.954 1774 0.806 1775 0.825 1776 0.91 1777 0.934 1778 0.852 1779 0.857 1780 0.947 1781 1.024 1782 1.119 1783 1.202 1784 0.979 1785 0.884 1786 0.883 1787 0.816 1788 1.19 1789 1.162 1790 1.03 1791 1.019 1792 0.914 1793 1.231 1794 1.271 1795 1.208 1796 1.174 1797 0.923 1798 1.155 1799 1.056 1800 0.791 1801 0.915 1802 0.931 1803 0.829 1804 0.728 1805 0.802 1806 0.729 1807 1.197 1808 0.983 1809 0.989 1810 1.027 1811 1.113 1812 1.005 1813 1.029 1814 1.049 1815 0.938 1816 0.82 1817 0.872 1818 0.775 1819 0.864 1820 0.735 1821 0.948 1822 1.01 1823 1.067 1824 0.928 1825 1.145 1826 1.122 1827 1.08 1828 0.964 1829 0.686 1830 0.771 1831 0.718 1832 0.759 1833 0.805 1834 1.011 1835 1.046 1836 0.841 1837 1.328 1838 1.072 1839 0.911 1840 1.003 1841 1.064 1842 1.129 1843 0.87 1844 0.849 1845 0.726 1846 0.96 1847 0.788 1848 0.785 1849 1.017 1850 1.137 1851 1.027 1852 0.812 1853 0.83 1854 0.981 1855 0.815 1856 0.791 1857 0.926 1858 0.933 1859 1.117 1860 1.059 1861 1.004 1862 0.768 1863 0.806 1864 1.221 1865 0.964 1866 0.863 1867 1.295 1868 1.257 1869 1.259 1870 1.029 1871 1.026 1872 0.837 1873 1.001 1874 1.143 1875 1.112 1876 0.814 1877 0.704 1878 0.676 1879 0.716 1880 0.849 1881 0.968 1882 1.202 1883 1.11 1884 1.123 1885 1.013 1886 0.924 1887 1.125 1888 1.093 1889 0.843 1890 1.043 1891 1.067 1892 1.239 1893 1.366 1894 0.863 1895 0.952 1896 0.883 1897 0.911 1898 1.073 1899 1.022 1900 1.049 1901 1.159 1902 1.154 1903 1.382 1904 1.465 1905 1.377 1906 1.405 1907 1.236 1908 0.938 1909 0.93 1910 1.12 1911 1.108 1912 1.138 1913 1.113 1914 1.379 1915 1.153 1916 1.098 1917 1.059 1918 1.118 1919 1.08 1920 0.91 1921 0.617 1922 0.824 1923 1.297 1924 0.928 1925 1.01 1926 0.929 1927 0.957 1928 0.683 1929 1.0 1930 1.08 1931 1.095 1932 1.131 1933 1.195 1934 0.911 1935 0.891 1936 0.827 1937 1.057 1938 0.84 1939 0.769 1940 0.823 1941 0.415 1942 0.495 1943 0.678 1944 1.364 1945 1.293 1946 0.859 1947 1.114 1948 0.993 1949 0.753 1950 0.783 1951 1.009 1952 0.673 1953 0.921 1954 0.803 1955 1.21 1956 1.192 1957 1.339 1958 1.394 1959 1.372 1960 1.028 1961 0.881 1962 0.632 1963 0.376 1964 0.539 1965 0.606 1966 0.551 1967 0.478 1968 0.734 1969 0.863 1970 1.156 1971 0.949 1972 0.851 1973 1.084 1974 1.044 1975 0.808 1976 1.222 1977 1.052 1978 0.885 1979 0.882 1980 1.012 1981 1.307 1982 1.351 1983 1.373 1984 1.121 1985 1.089