# northamerica_usa_co543 - Milner Pass - 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: northamerica_usa_co543 - Milner Pass - 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: Milner Pass # Location: # Country: United States # Northernmost_Latitude: 40.42 # Southernmost_Latitude: 40.42 # Easternmost_Longitude: -105.8 # Westernmost_Longitude: -105.8 # Elevation: 3413 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co543B # Earliest_Year: 1702 # Most_Recent_Year: 1987 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.90548775274"}{"T2":"18.8997109133"}{"M1":"0.0219006115353"}{"M2":"0.290466717401"} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1702 0.674 1703 0.643 1704 0.661 1705 0.661 1706 0.674 1707 0.585 1708 0.629 1709 0.932 1710 0.959 1711 0.862 1712 1.003 1713 0.913 1714 0.866 1715 0.931 1716 0.833 1717 1.091 1718 0.914 1719 0.913 1720 0.96 1721 1.054 1722 0.958 1723 0.861 1724 1.115 1725 1.036 1726 1.058 1727 1.106 1728 1.013 1729 0.957 1730 0.939 1731 0.992 1732 0.968 1733 0.994 1734 1.129 1735 1.054 1736 0.995 1737 1.113 1738 1.107 1739 1.301 1740 1.0 1741 0.974 1742 0.93 1743 1.005 1744 1.126 1745 1.119 1746 1.166 1747 1.164 1748 0.937 1749 1.034 1750 1.305 1751 1.302 1752 1.256 1753 1.386 1754 1.119 1755 1.21 1756 1.119 1757 1.332 1758 0.985 1759 1.298 1760 1.105 1761 0.834 1762 1.263 1763 0.94 1764 0.942 1765 1.161 1766 0.895 1767 1.107 1768 0.987 1769 1.048 1770 0.931 1771 1.039 1772 1.062 1773 1.082 1774 1.194 1775 1.194 1776 1.09 1777 1.083 1778 1.0 1779 0.885 1780 1.312 1781 1.081 1782 0.905 1783 1.057 1784 1.225 1785 1.139 1786 1.091 1787 1.166 1788 1.351 1789 1.04 1790 0.903 1791 0.78 1792 0.996 1793 0.985 1794 0.99 1795 1.045 1796 0.993 1797 1.088 1798 1.262 1799 1.12 1800 1.093 1801 1.171 1802 1.2 1803 1.041 1804 1.018 1805 0.997 1806 0.919 1807 0.989 1808 0.968 1809 0.809 1810 0.78 1811 0.881 1812 0.987 1813 0.87 1814 0.821 1815 0.86 1816 0.984 1817 0.966 1818 0.89 1819 0.971 1820 0.862 1821 0.896 1822 0.903 1823 0.879 1824 0.876 1825 0.96 1826 0.996 1827 1.109 1828 1.033 1829 1.122 1830 1.113 1831 1.088 1832 0.974 1833 1.152 1834 1.038 1835 0.824 1836 0.663 1837 0.99 1838 0.867 1839 0.756 1840 0.796 1841 0.862 1842 0.809 1843 0.819 1844 0.853 1845 0.573 1846 0.673 1847 0.568 1848 0.657 1849 0.744 1850 0.744 1851 0.589 1852 0.609 1853 0.603 1854 0.739 1855 0.751 1856 1.061 1857 0.836 1858 0.812 1859 1.126 1860 1.086 1861 1.191 1862 0.967 1863 1.055 1864 0.871 1865 0.755 1866 0.946 1867 1.072 1868 0.893 1869 0.902 1870 0.981 1871 1.036 1872 0.64 1873 0.985 1874 1.064 1875 0.746 1876 1.156 1877 1.007 1878 0.994 1879 0.888 1880 0.739 1881 1.111 1882 0.754 1883 0.777 1884 0.878 1885 0.989 1886 1.204 1887 0.906 1888 0.997 1889 0.98 1890 0.91 1891 0.943 1892 1.061 1893 0.829 1894 1.046 1895 0.901 1896 1.175 1897 1.177 1898 1.353 1899 0.989 1900 1.205 1901 1.172 1902 0.795 1903 1.037 1904 0.813 1905 0.869 1906 0.651 1907 0.867 1908 0.947 1909 1.118 1910 0.999 1911 0.914 1912 0.999 1913 0.88 1914 0.977 1915 0.876 1916 0.907 1917 1.013 1918 0.999 1919 1.129 1920 0.744 1921 0.911 1922 0.924 1923 0.907 1924 0.829 1925 0.844 1926 0.749 1927 1.014 1928 1.148 1929 1.319 1930 1.179 1931 1.157 1932 1.124 1933 1.114 1934 0.926 1935 1.024 1936 0.997 1937 0.929 1938 1.024 1939 1.261 1940 1.078 1941 0.967 1942 0.93 1943 0.929 1944 0.995 1945 0.994 1946 0.95 1947 1.065 1948 0.957 1949 1.041 1950 0.997 1951 1.315 1952 1.16 1953 1.329 1954 1.149 1955 1.134 1956 1.048 1957 1.111 1958 1.032 1959 1.015 1960 1.024 1961 0.993 1962 0.96 1963 1.209 1964 1.344 1965 1.11 1966 1.197 1967 0.844 1968 0.85 1969 0.79 1970 0.859 1971 0.821 1972 0.833 1973 0.862 1974 1.018 1975 1.059 1976 0.971 1977 1.028 1978 1.058 1979 1.067 1980 0.995 1981 0.881 1982 0.802 1983 0.847 1984 0.932 1985 0.794 1986 0.832 1987 1.03