# northamerica_usa_ca087 - Kaiser 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_ca087 - Kaiser 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: Kaiser Pass # Location: # Country: United States # Northernmost_Latitude: 37.28 # Southernmost_Latitude: 37.28 # Easternmost_Longitude: -119.08 # Westernmost_Longitude: -119.08 # Elevation: 2731 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca087B # Earliest_Year: 1600 # Most_Recent_Year: 1981 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.86176765156"}{"T2":"17.3117130014"}{"M1":"0.0230807255878"}{"M2":"0.492884308972"} #-------------------- # Species # Species_Name: western juniper # Species_Code: JUOC #-------------------- # 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 1600 0.851 1601 1.124 1602 0.922 1603 0.875 1604 1.413 1605 1.46 1606 1.275 1607 0.778 1608 1.208 1609 0.967 1610 0.999 1611 1.173 1612 0.997 1613 0.777 1614 1.187 1615 1.25 1616 1.166 1617 1.535 1618 1.152 1619 0.896 1620 0.995 1621 0.92 1622 0.527 1623 0.893 1624 0.94 1625 1.363 1626 0.761 1627 0.979 1628 1.009 1629 0.876 1630 0.801 1631 0.57 1632 0.559 1633 0.941 1634 0.761 1635 0.664 1636 1.181 1637 0.686 1638 0.713 1639 0.645 1640 0.774 1641 0.829 1642 1.251 1643 0.861 1644 1.198 1645 1.331 1646 1.157 1647 1.203 1648 1.491 1649 1.367 1650 1.337 1651 1.355 1652 1.251 1653 0.742 1654 0.954 1655 0.499 1656 1.103 1657 0.36 1658 0.47 1659 0.702 1660 1.228 1661 1.155 1662 0.798 1663 0.743 1664 0.832 1665 0.852 1666 1.171 1667 0.813 1668 0.87 1669 0.691 1670 1.081 1671 1.174 1672 1.208 1673 1.0 1674 1.111 1675 1.011 1676 1.073 1677 1.316 1678 1.267 1679 1.276 1680 1.243 1681 1.28 1682 1.142 1683 1.355 1684 0.846 1685 0.995 1686 0.916 1687 1.012 1688 0.971 1689 1.01 1690 0.693 1691 0.642 1692 1.093 1693 0.92 1694 0.993 1695 0.859 1696 0.942 1697 1.259 1698 1.099 1699 1.23 1700 1.096 1701 0.89 1702 1.122 1703 0.799 1704 1.288 1705 1.588 1706 1.155 1707 0.911 1708 0.972 1709 1.14 1710 0.678 1711 0.987 1712 0.807 1713 0.766 1714 0.57 1715 0.552 1716 0.663 1717 0.922 1718 0.819 1719 0.739 1720 0.915 1721 0.735 1722 0.699 1723 0.762 1724 0.486 1725 0.931 1726 1.006 1727 0.956 1728 0.853 1729 0.544 1730 1.073 1731 0.863 1732 0.791 1733 0.726 1734 1.364 1735 0.923 1736 1.17 1737 0.929 1738 0.804 1739 0.796 1740 1.336 1741 1.379 1742 1.152 1743 1.279 1744 1.053 1745 1.805 1746 1.126 1747 1.279 1748 0.943 1749 1.153 1750 0.96 1751 1.045 1752 1.044 1753 0.869 1754 0.806 1755 0.767 1756 0.79 1757 0.887 1758 1.003 1759 0.79 1760 1.167 1761 1.06 1762 0.842 1763 1.079 1764 0.983 1765 0.89 1766 1.178 1767 1.058 1768 1.112 1769 0.833 1770 0.934 1771 0.913 1772 0.947 1773 0.944 1774 1.019 1775 0.844 1776 1.055 1777 0.807 1778 0.966 1779 0.808 1780 0.779 1781 0.827 1782 0.678 1783 0.72 1784 0.795 1785 0.678 1786 0.776 1787 0.798 1788 0.615 1789 0.751 1790 0.842 1791 0.787 1792 1.109 1793 0.648 1794 0.865 1795 0.648 1796 0.546 1797 0.73 1798 0.755 1799 1.111 1800 0.98 1801 0.857 1802 0.931 1803 0.999 1804 0.85 1805 1.061 1806 0.756 1807 0.782 1808 0.669 1809 1.057 1810 1.056 1811 1.237 1812 1.065 1813 1.281 1814 1.484 1815 1.164 1816 1.284 1817 1.467 1818 1.279 1819 1.277 1820 1.241 1821 1.16 1822 1.08 1823 0.919 1824 0.718 1825 1.251 1826 1.358 1827 0.912 1828 0.917 1829 0.951 1830 1.163 1831 0.989 1832 1.611 1833 0.911 1834 0.824 1835 1.027 1836 0.921 1837 0.914 1838 1.23 1839 0.875 1840 0.844 1841 0.667 1842 0.851 1843 0.87 1844 0.682 1845 1.465 1846 0.912 1847 1.128 1848 1.27 1849 1.031 1850 1.001 1851 0.801 1852 1.395 1853 1.246 1854 0.899 1855 0.977 1856 0.637 1857 1.093 1858 0.743 1859 0.802 1860 0.977 1861 0.902 1862 0.965 1863 1.062 1864 1.228 1865 1.09 1866 1.214 1867 1.108 1868 0.816 1869 0.754 1870 0.916 1871 0.581 1872 0.598 1873 0.721 1874 0.763 1875 0.8 1876 0.866 1877 0.772 1878 1.055 1879 1.032 1880 0.963 1881 1.24 1882 1.127 1883 1.013 1884 1.596 1885 1.816 1886 1.254 1887 1.219 1888 1.575 1889 1.409 1890 1.665 1891 1.48 1892 0.97 1893 1.498 1894 1.426 1895 1.539 1896 1.355 1897 1.468 1898 1.221 1899 0.993 1900 1.262 1901 1.729 1902 1.154 1903 0.978 1904 1.395 1905 1.192 1906 1.442 1907 1.161 1908 1.08 1909 1.012 1910 0.934 1911 1.253 1912 0.795 1913 1.105 1914 1.324 1915 1.069 1916 1.14 1917 0.965 1918 0.829 1919 0.82 1920 0.752 1921 0.894 1922 0.75 1923 0.647 1924 0.564 1925 0.997 1926 0.856 1927 0.529 1928 0.503 1929 0.681 1930 0.457 1931 0.819 1932 0.676 1933 0.455 1934 0.648 1935 0.798 1936 1.016 1937 0.859 1938 1.044 1939 0.838 1940 1.02 1941 0.947 1942 0.894 1943 0.886 1944 0.634 1945 0.816 1946 0.805 1947 0.779 1948 0.838 1949 0.623 1950 0.903 1951 0.89 1952 1.014 1953 0.741 1954 1.07 1955 0.747 1956 0.86 1957 0.958 1958 1.181 1959 0.699 1960 0.517 1961 0.691 1962 0.84 1963 0.799 1964 0.741 1965 0.906 1966 0.886 1967 1.015 1968 0.688 1969 1.319 1970 0.951 1971 0.817 1972 1.124 1973 0.951 1974 0.973 1975 1.167 1976 0.98 1977 1.232 1978 1.686 1979 1.336 1980 1.505 1981 1.165