# europe_spai002 - Puerto de Navacerrada - 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_spai002 - Puerto de Navacerrada - 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: Puerto de Navacerrada # Location: # Country: Spain # Northernmost_Latitude: 40.8 # Southernmost_Latitude: 40.8 # Easternmost_Longitude: -4.03 # Westernmost_Longitude: -4.03 # Elevation: 2050 m #-------------------- # Data_Collection # Collection_Name: europe_spai002B # Earliest_Year: 1753 # Most_Recent_Year: 1977 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.71648882966"}{"T2":"14.9173115116"}{"M1":"0.0221675371138"}{"M2":"0.293162817367"} #-------------------- # 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 1753 0.921 1754 1.207 1755 1.164 1756 1.001 1757 1.242 1758 0.932 1759 1.0 1760 0.86 1761 0.941 1762 1.082 1763 0.915 1764 1.123 1765 0.943 1766 0.906 1767 1.005 1768 0.902 1769 0.876 1770 0.696 1771 0.725 1772 0.903 1773 0.939 1774 0.929 1775 1.114 1776 1.063 1777 0.819 1778 0.921 1779 1.201 1780 1.469 1781 1.312 1782 1.368 1783 1.24 1784 0.872 1785 0.792 1786 0.831 1787 1.011 1788 1.106 1789 0.855 1790 0.936 1791 1.166 1792 1.126 1793 1.233 1794 1.206 1795 0.982 1796 0.782 1797 0.672 1798 0.824 1799 0.781 1800 0.755 1801 0.691 1802 0.974 1803 0.922 1804 0.867 1805 0.674 1806 0.523 1807 0.886 1808 0.804 1809 0.862 1810 0.72 1811 0.632 1812 0.904 1813 1.225 1814 1.148 1815 1.073 1816 0.889 1817 0.827 1818 0.789 1819 0.999 1820 0.854 1821 1.035 1822 1.004 1823 0.908 1824 1.013 1825 1.001 1826 1.076 1827 0.757 1828 1.044 1829 0.973 1830 1.102 1831 1.036 1832 0.978 1833 0.969 1834 1.176 1835 1.088 1836 1.009 1837 1.137 1838 0.83 1839 0.828 1840 0.881 1841 1.152 1842 1.118 1843 1.097 1844 1.082 1845 1.039 1846 1.151 1847 0.793 1848 0.789 1849 1.124 1850 1.208 1851 0.816 1852 0.725 1853 0.821 1854 1.118 1855 0.846 1856 0.912 1857 0.83 1858 0.97 1859 1.018 1860 0.938 1861 1.144 1862 0.93 1863 1.047 1864 1.463 1865 1.055 1866 0.786 1867 1.065 1868 1.1 1869 1.206 1870 1.093 1871 1.072 1872 1.037 1873 1.015 1874 1.062 1875 1.15 1876 1.258 1877 1.411 1878 1.57 1879 1.104 1880 1.063 1881 0.872 1882 0.962 1883 0.936 1884 1.012 1885 0.996 1886 0.846 1887 1.057 1888 1.045 1889 0.87 1890 0.892 1891 0.887 1892 1.014 1893 1.171 1894 0.756 1895 0.753 1896 0.647 1897 0.781 1898 0.884 1899 0.923 1900 0.935 1901 0.938 1902 1.124 1903 1.32 1904 1.516 1905 1.458 1906 1.464 1907 1.155 1908 0.911 1909 0.663 1910 0.789 1911 0.882 1912 1.087 1913 1.178 1914 1.286 1915 0.971 1916 0.922 1917 0.895 1918 0.935 1919 1.054 1920 0.933 1921 0.887 1922 0.969 1923 1.339 1924 0.875 1925 0.961 1926 1.154 1927 1.049 1928 0.801 1929 0.881 1930 0.82 1931 0.959 1932 1.072 1933 1.14 1934 0.763 1935 0.874 1936 1.016 1937 1.18 1938 0.78 1939 0.815 1940 0.732 1941 0.599 1942 0.567 1943 0.82 1944 1.195 1945 1.583 1946 0.877 1947 1.198 1948 0.909 1949 1.02 1950 0.825 1951 1.026 1952 1.178 1953 1.189 1954 0.724 1955 1.087 1956 1.088 1957 1.041 1958 1.13 1959 1.256 1960 0.846 1961 0.704 1962 0.552 1963 0.341 1964 0.727 1965 0.803 1966 0.728 1967 0.668 1968 0.679 1969 0.651 1970 0.761 1971 0.633 1972 0.728 1973 0.993 1974 1.169 1975 1.017 1976 1.379 1977 0.949