# southamerica_arge038 - Paso Garibaldi - 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: southamerica_arge038 - Paso Garibaldi - 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: Paso Garibaldi # Location: # Country: Argentina # Northernmost_Latitude: -54.65 # Southernmost_Latitude: -54.65 # Easternmost_Longitude: -67.87 # Westernmost_Longitude: -67.87 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge038B # Earliest_Year: 1729 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"3.75750866433"}{"T2":"16.4596365508"}{"M1":"0.0224435190167"}{"M2":"0.4284042504"} #-------------------- # Species # Species_Name: lenga nothofagus # Species_Code: NOPU #-------------------- # 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 1729 0.777 1730 0.763 1731 0.727 1732 0.875 1733 0.909 1734 0.768 1735 0.777 1736 0.879 1737 0.961 1738 0.907 1739 0.84 1740 0.803 1741 0.815 1742 0.862 1743 0.844 1744 0.842 1745 1.085 1746 0.684 1747 0.902 1748 0.872 1749 0.951 1750 1.041 1751 1.06 1752 0.756 1753 0.834 1754 0.919 1755 1.086 1756 0.762 1757 0.908 1758 0.943 1759 0.991 1760 1.083 1761 1.189 1762 1.07 1763 1.005 1764 1.113 1765 1.154 1766 1.049 1767 0.926 1768 0.881 1769 0.304 1770 0.352 1771 0.679 1772 0.995 1773 1.055 1774 0.956 1775 1.089 1776 0.917 1777 0.866 1778 0.941 1779 1.01 1780 0.922 1781 0.812 1782 0.843 1783 0.869 1784 0.828 1785 0.925 1786 0.886 1787 0.9 1788 0.825 1789 0.956 1790 0.953 1791 0.995 1792 1.14 1793 1.054 1794 1.245 1795 1.134 1796 0.947 1797 1.111 1798 1.1 1799 1.056 1800 1.162 1801 1.166 1802 0.987 1803 1.257 1804 1.222 1805 1.158 1806 1.392 1807 1.142 1808 1.152 1809 1.275 1810 1.016 1811 1.087 1812 1.526 1813 1.107 1814 1.287 1815 1.086 1816 1.147 1817 1.452 1818 1.022 1819 1.044 1820 1.068 1821 1.086 1822 0.772 1823 1.139 1824 1.038 1825 1.075 1826 1.369 1827 1.378 1828 1.281 1829 1.25 1830 1.368 1831 1.416 1832 1.358 1833 1.35 1834 1.089 1835 1.075 1836 1.23 1837 1.102 1838 1.213 1839 1.139 1840 1.086 1841 0.876 1842 0.761 1843 0.757 1844 0.929 1845 0.888 1846 0.943 1847 0.961 1848 1.022 1849 0.857 1850 0.875 1851 0.727 1852 0.633 1853 0.903 1854 0.955 1855 0.996 1856 0.841 1857 0.922 1858 1.05 1859 0.745 1860 0.651 1861 0.852 1862 0.775 1863 1.188 1864 1.042 1865 1.029 1866 0.948 1867 1.07 1868 1.227 1869 0.986 1870 1.096 1871 0.958 1872 1.039 1873 1.061 1874 1.065 1875 1.024 1876 1.559 1877 1.084 1878 1.019 1879 0.789 1880 0.878 1881 0.976 1882 0.902 1883 0.947 1884 0.862 1885 0.841 1886 0.85 1887 0.776 1888 0.676 1889 0.568 1890 0.765 1891 0.817 1892 0.815 1893 0.887 1894 1.036 1895 1.123 1896 0.94 1897 1.035 1898 1.276 1899 1.352 1900 1.223 1901 1.083 1902 1.182 1903 1.285 1904 1.075 1905 1.24 1906 0.685 1907 0.792 1908 0.86 1909 0.95 1910 1.01 1911 0.896 1912 0.829 1913 0.728 1914 0.625 1915 0.796 1916 0.857 1917 0.942 1918 0.84 1919 0.772 1920 0.774 1921 0.942 1922 0.793 1923 0.837 1924 0.854 1925 0.871 1926 0.893 1927 0.965 1928 1.206 1929 1.063 1930 1.123 1931 0.746 1932 0.802 1933 0.847 1934 0.848 1935 1.045 1936 0.999 1937 0.687 1938 0.912 1939 1.036 1940 0.784 1941 0.921 1942 0.985 1943 0.873 1944 1.009 1945 0.85 1946 0.762 1947 0.803 1948 0.796 1949 0.746 1950 0.897 1951 0.956 1952 0.768 1953 0.855 1954 0.937 1955 1.132 1956 1.092 1957 1.015 1958 0.901 1959 0.878 1960 0.83 1961 1.089 1962 0.789 1963 1.01 1964 1.024 1965 0.918 1966 1.108 1967 1.529 1968 1.155 1969 1.188 1970 0.933 1971 1.211 1972 1.331 1973 0.92 1974 0.914 1975 0.929 1976 1.139 1977 1.256 1978 0.846 1979 0.929 1980 1.012 1981 0.98 1982 0.972 1983 1.083 1984 1.061 1985 0.732