# southamerica_arge054 - Estancia Pulmari - 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_arge054 - Estancia Pulmari - 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: Estancia Pulmari # Location: # Country: Argentina # Northernmost_Latitude: -39.08 # Southernmost_Latitude: -39.08 # Easternmost_Longitude: -71.3 # Westernmost_Longitude: -71.3 # Elevation: 1890 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge054B # Earliest_Year: 1706 # Most_Recent_Year: 1989 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"2.33335778784"}{"T2":"11.8073407521"}{"M1":"0.0230746725796"}{"M2":"0.602812648723"} #-------------------- # Species # Species_Name: monkey puzzle # Species_Code: ARAR #-------------------- # 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 1706 0.907 1707 1.041 1708 1.185 1709 1.1 1710 0.967 1711 0.925 1712 0.849 1713 0.84 1714 1.044 1715 1.212 1716 0.833 1717 0.832 1718 0.849 1719 0.808 1720 1.26 1721 0.974 1722 0.814 1723 1.024 1724 0.985 1725 1.075 1726 1.276 1727 0.877 1728 1.218 1729 1.106 1730 1.039 1731 0.982 1732 0.888 1733 0.854 1734 0.852 1735 0.725 1736 1.013 1737 0.747 1738 0.847 1739 1.038 1740 1.099 1741 0.994 1742 1.002 1743 0.651 1744 0.702 1745 0.894 1746 1.008 1747 0.948 1748 0.981 1749 1.384 1750 1.202 1751 0.914 1752 0.756 1753 0.893 1754 0.875 1755 0.849 1756 0.975 1757 1.044 1758 1.053 1759 1.077 1760 1.244 1761 1.283 1762 0.954 1763 1.034 1764 0.926 1765 0.957 1766 1.082 1767 0.698 1768 0.761 1769 0.93 1770 0.967 1771 1.021 1772 0.911 1773 0.897 1774 0.802 1775 1.04 1776 1.115 1777 1.098 1778 0.821 1779 0.848 1780 0.896 1781 1.179 1782 1.054 1783 0.941 1784 1.172 1785 1.072 1786 0.896 1787 0.795 1788 0.976 1789 0.821 1790 1.012 1791 0.989 1792 0.929 1793 1.029 1794 1.198 1795 1.099 1796 1.209 1797 1.116 1798 1.072 1799 1.029 1800 1.259 1801 0.883 1802 0.878 1803 0.974 1804 1.062 1805 0.7 1806 0.669 1807 0.673 1808 0.985 1809 0.993 1810 0.857 1811 0.849 1812 1.057 1813 0.819 1814 1.009 1815 0.995 1816 1.164 1817 1.139 1818 1.106 1819 0.884 1820 0.937 1821 0.856 1822 1.01 1823 1.206 1824 1.114 1825 0.873 1826 1.134 1827 1.026 1828 1.045 1829 1.236 1830 1.075 1831 1.01 1832 1.152 1833 1.24 1834 1.376 1835 1.243 1836 0.978 1837 1.466 1838 1.598 1839 0.866 1840 1.108 1841 0.802 1842 0.881 1843 1.092 1844 1.176 1845 0.885 1846 0.886 1847 1.038 1848 0.992 1849 1.114 1850 0.982 1851 0.869 1852 1.162 1853 0.856 1854 0.854 1855 1.039 1856 1.031 1857 1.105 1858 0.91 1859 0.537 1860 0.664 1861 0.496 1862 0.642 1863 0.696 1864 0.661 1865 0.653 1866 0.744 1867 0.699 1868 1.075 1869 0.938 1870 0.748 1871 0.69 1872 0.94 1873 0.807 1874 0.746 1875 0.46 1876 0.927 1877 0.665 1878 0.702 1879 0.711 1880 0.966 1881 0.887 1882 0.996 1883 0.903 1884 1.044 1885 0.786 1886 0.984 1887 1.008 1888 0.859 1889 0.709 1890 0.871 1891 0.932 1892 1.216 1893 0.808 1894 1.094 1895 1.227 1896 0.877 1897 0.731 1898 1.279 1899 1.053 1900 1.083 1901 1.2 1902 0.91 1903 1.15 1904 1.156 1905 0.907 1906 0.636 1907 1.109 1908 0.923 1909 0.55 1910 0.827 1911 0.77 1912 0.78 1913 0.692 1914 0.931 1915 0.995 1916 0.806 1917 0.848 1918 1.156 1919 1.017 1920 0.86 1921 0.998 1922 1.151 1923 1.274 1924 0.842 1925 1.017 1926 1.618 1927 1.311 1928 1.383 1929 1.766 1930 1.279 1931 1.25 1932 1.275 1933 1.55 1934 1.387 1935 1.295 1936 1.255 1937 0.956 1938 1.44 1939 1.324 1940 1.474 1941 1.497 1942 1.119 1943 1.023 1944 1.168 1945 1.128 1946 1.569 1947 1.156 1948 1.203 1949 0.956 1950 1.438 1951 1.599 1952 0.808 1953 0.943 1954 1.075 1955 1.01 1956 1.207 1957 0.925 1958 0.878 1959 1.015 1960 0.819 1961 1.056 1962 0.694 1963 0.974 1964 1.074 1965 0.748 1966 0.865 1967 0.699 1968 0.718 1969 0.803 1970 0.634 1971 1.129 1972 0.791 1973 0.633 1974 0.811 1975 0.897 1976 0.954 1977 0.851 1978 0.799 1979 0.974 1980 0.685 1981 0.594 1982 0.871 1983 0.945 1984 0.925 1985 0.988 1986 0.751 1987 0.916 1988 0.853 1989 1.004