# northamerica_usa_wa071 - Hart's Pass N1 - 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_wa071 - Hart's Pass N1 - 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: Hart's Pass N1 # Location: # Country: United States # Northernmost_Latitude: 48.7 # Southernmost_Latitude: 48.7 # Easternmost_Longitude: -120.65 # Westernmost_Longitude: -120.65 # Elevation: 1925 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa071B # Earliest_Year: 1668 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.27337143969"}{"T2":"17.4420594474"}{"M1":"0.0224500623237"}{"M2":"0.382419338953"} #-------------------- # 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 1668 0.757 1669 1.033 1670 0.969 1671 0.777 1672 0.894 1673 0.985 1674 1.056 1675 1.088 1676 0.752 1677 1.24 1678 1.03 1679 1.109 1680 0.936 1681 0.741 1682 1.027 1683 0.937 1684 0.887 1685 0.933 1686 0.895 1687 1.237 1688 0.919 1689 1.175 1690 1.121 1691 1.109 1692 1.163 1693 0.986 1694 0.572 1695 0.984 1696 0.713 1697 0.796 1698 1.143 1699 0.875 1700 1.188 1701 0.96 1702 0.945 1703 0.956 1704 0.925 1705 1.256 1706 1.078 1707 0.966 1708 1.241 1709 1.096 1710 1.366 1711 1.366 1712 1.744 1713 1.295 1714 1.408 1715 0.651 1716 0.964 1717 1.156 1718 1.165 1719 1.032 1720 0.919 1721 1.152 1722 1.24 1723 1.151 1724 1.325 1725 1.184 1726 1.32 1727 1.399 1728 1.28 1729 1.593 1730 1.352 1731 1.301 1732 1.273 1733 1.126 1734 1.066 1735 0.976 1736 1.147 1737 0.965 1738 1.065 1739 1.368 1740 1.124 1741 1.235 1742 1.161 1743 1.308 1744 1.258 1745 1.549 1746 1.017 1747 1.499 1748 1.467 1749 1.266 1750 1.323 1751 1.131 1752 0.569 1753 1.117 1754 1.0 1755 0.891 1756 1.391 1757 1.203 1758 0.983 1759 1.012 1760 1.012 1761 1.115 1762 0.969 1763 1.136 1764 1.244 1765 0.783 1766 0.919 1767 1.236 1768 1.166 1769 1.216 1770 0.842 1771 1.095 1772 0.93 1773 1.321 1774 0.91 1775 0.615 1776 0.855 1777 1.063 1778 1.104 1779 1.141 1780 1.02 1781 1.194 1782 0.917 1783 1.456 1784 1.175 1785 1.135 1786 1.186 1787 1.069 1788 1.107 1789 1.024 1790 1.345 1791 1.183 1792 1.144 1793 1.02 1794 1.315 1795 1.376 1796 1.58 1797 1.136 1798 1.355 1799 0.829 1800 0.947 1801 1.128 1802 1.231 1803 1.188 1804 1.262 1805 1.347 1806 1.084 1807 1.175 1808 1.117 1809 1.193 1810 0.81 1811 1.34 1812 1.132 1813 0.921 1814 0.876 1815 0.832 1816 0.876 1817 1.078 1818 0.878 1819 0.93 1820 1.092 1821 1.069 1822 1.18 1823 1.023 1824 0.605 1825 0.836 1826 0.847 1827 0.855 1828 0.819 1829 1.0 1830 1.014 1831 1.256 1832 0.598 1833 1.056 1834 1.191 1835 0.958 1836 0.845 1837 0.935 1838 0.563 1839 1.079 1840 0.981 1841 1.009 1842 0.981 1843 1.029 1844 0.71 1845 0.797 1846 1.026 1847 0.81 1848 1.263 1849 0.922 1850 0.85 1851 1.077 1852 1.048 1853 0.996 1854 0.904 1855 0.996 1856 0.745 1857 0.927 1858 1.003 1859 1.24 1860 0.943 1861 0.81 1862 0.671 1863 1.255 1864 0.888 1865 1.209 1866 1.042 1867 0.812 1868 0.908 1869 0.823 1870 0.683 1871 0.838 1872 0.972 1873 1.011 1874 0.902 1875 1.05 1876 0.645 1877 0.813 1878 0.658 1879 0.545 1880 0.521 1881 0.629 1882 0.889 1883 0.831 1884 0.567 1885 0.885 1886 0.877 1887 0.758 1888 0.671 1889 0.663 1890 0.834 1891 0.856 1892 0.588 1893 0.734 1894 0.762 1895 0.766 1896 0.927 1897 0.722 1898 0.956 1899 0.702 1900 0.795 1901 1.073 1902 0.95 1903 0.991 1904 1.15 1905 1.032 1906 1.006 1907 0.978 1908 1.236 1909 0.91 1910 0.88 1911 1.074 1912 1.02 1913 1.007 1914 1.122 1915 0.913 1916 0.636 1917 1.085 1918 1.106 1919 1.16 1920 1.083 1921 0.969 1922 1.236 1923 0.972 1924 0.883 1925 0.979 1926 0.866 1927 0.821 1928 0.823 1929 0.798 1930 0.867 1931 0.963 1932 0.855 1933 1.14 1934 1.076 1935 1.051 1936 1.257 1937 1.137 1938 1.208 1939 0.931 1940 1.136 1941 1.039 1942 0.983 1943 0.855 1944 1.212 1945 1.316 1946 0.925 1947 0.944 1948 1.224 1949 1.135 1950 1.204 1951 1.068 1952 1.063 1953 0.945 1954 0.799 1955 1.104 1956 0.685 1957 0.869 1958 1.341 1959 0.811 1960 1.266 1961 1.146 1962 0.738 1963 0.823 1964 0.951 1965 1.411 1966 1.358 1967 1.508 1968 1.002 1969 1.016 1970 1.415 1971 1.088 1972 0.799 1973 1.149 1974 0.809 1975 1.109 1976 0.727 1977 1.069 1978 0.812 1979 0.921 1980 0.705 1981 1.003 1982 0.817 1983 0.572 1984 1.017 1985 1.028 1986 0.774 1987 0.913 1988 0.874 1989 1.079 1990 1.176