# northamerica_usa_wy020 - Medicine Bows 4 - 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_wy020 - Medicine Bows 4 - 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: Medicine Bows 4 # Location: # Country: United States # Northernmost_Latitude: 41.4 # Southernmost_Latitude: 41.4 # Easternmost_Longitude: -106.28 # Westernmost_Longitude: -106.28 # Elevation: 3290 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wy020B # Earliest_Year: 1600 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.54639929986"}{"T2":"20.1038366225"}{"M1":"0.0222721391551"}{"M2":"0.211786366732"} #-------------------- # 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 1600 1.201 1601 0.958 1602 1.143 1603 1.359 1604 1.028 1605 1.175 1606 0.923 1607 0.914 1608 1.0 1609 0.82 1610 0.876 1611 0.874 1612 0.613 1613 0.692 1614 0.742 1615 0.552 1616 0.681 1617 0.837 1618 0.69 1619 0.995 1620 1.139 1621 1.139 1622 1.242 1623 1.129 1624 0.841 1625 0.842 1626 0.677 1627 0.426 1628 0.573 1629 0.451 1630 0.403 1631 0.593 1632 0.541 1633 0.556 1634 0.875 1635 0.641 1636 0.935 1637 0.956 1638 1.269 1639 1.064 1640 1.077 1641 0.922 1642 0.816 1643 1.195 1644 0.908 1645 1.009 1646 0.617 1647 0.904 1648 0.933 1649 0.974 1650 1.119 1651 1.013 1652 1.132 1653 1.217 1654 0.963 1655 0.982 1656 1.182 1657 1.397 1658 1.593 1659 1.482 1660 1.125 1661 1.275 1662 1.05 1663 1.03 1664 0.866 1665 0.69 1666 0.737 1667 1.117 1668 1.144 1669 0.979 1670 1.013 1671 0.744 1672 0.754 1673 0.781 1674 0.848 1675 1.024 1676 0.746 1677 0.561 1678 0.528 1679 0.893 1680 0.745 1681 0.843 1682 0.745 1683 0.846 1684 0.961 1685 0.803 1686 0.809 1687 0.724 1688 0.777 1689 1.272 1690 1.149 1691 0.847 1692 0.953 1693 0.96 1694 0.508 1695 0.746 1696 0.874 1697 1.06 1698 0.859 1699 0.738 1700 0.493 1701 0.663 1702 0.583 1703 0.822 1704 0.341 1705 0.432 1706 0.716 1707 0.655 1708 0.852 1709 1.014 1710 1.176 1711 1.133 1712 1.022 1713 0.903 1714 0.929 1715 0.98 1716 0.797 1717 0.986 1718 0.909 1719 0.896 1720 1.105 1721 1.287 1722 0.883 1723 0.86 1724 1.276 1725 0.936 1726 1.057 1727 1.105 1728 1.185 1729 0.579 1730 0.813 1731 0.872 1732 0.91 1733 1.165 1734 1.209 1735 0.956 1736 0.542 1737 0.736 1738 0.918 1739 1.33 1740 0.907 1741 1.038 1742 1.302 1743 1.183 1744 1.02 1745 0.995 1746 1.065 1747 1.103 1748 0.926 1749 0.874 1750 1.087 1751 1.217 1752 1.052 1753 1.243 1754 1.142 1755 1.422 1756 1.554 1757 1.691 1758 0.6 1759 0.674 1760 0.421 1761 0.385 1762 1.076 1763 0.625 1764 0.674 1765 0.946 1766 0.764 1767 1.017 1768 0.933 1769 0.707 1770 0.489 1771 0.748 1772 0.917 1773 1.156 1774 1.214 1775 1.127 1776 1.274 1777 1.264 1778 0.909 1779 0.759 1780 1.215 1781 0.784 1782 0.549 1783 0.852 1784 0.975 1785 1.124 1786 1.062 1787 1.146 1788 1.322 1789 1.075 1790 0.912 1791 0.816 1792 0.879 1793 0.632 1794 0.985 1795 1.285 1796 1.145 1797 1.237 1798 1.461 1799 1.234 1800 1.373 1801 1.207 1802 1.159 1803 0.781 1804 1.05 1805 1.132 1806 1.125 1807 1.132 1808 1.136 1809 0.968 1810 0.938 1811 1.188 1812 1.403 1813 0.908 1814 0.675 1815 0.921 1816 1.175 1817 0.965 1818 0.681 1819 1.008 1820 0.958 1821 0.869 1822 1.054 1823 0.833 1824 0.877 1825 0.662 1826 0.954 1827 1.213 1828 1.191 1829 1.517 1830 1.298 1831 1.332 1832 0.8 1833 1.457 1834 1.202 1835 0.862 1836 0.667 1837 0.734 1838 0.696 1839 0.39 1840 0.483 1841 0.652 1842 0.609 1843 0.701 1844 0.83 1845 0.713 1846 0.705 1847 0.615 1848 0.885 1849 0.995 1850 1.172 1851 0.731 1852 0.489 1853 0.558 1854 0.858 1855 1.002 1856 1.092 1857 1.13 1858 1.004 1859 1.323 1860 1.104 1861 1.249 1862 0.978 1863 1.155 1864 0.867 1865 0.683 1866 0.86 1867 1.032 1868 1.098 1869 0.873 1870 0.797 1871 1.131 1872 0.601 1873 1.209 1874 1.11 1875 0.793 1876 0.911 1877 0.73 1878 0.84 1879 0.743 1880 0.495 1881 0.946 1882 0.391 1883 0.277 1884 0.539 1885 0.795 1886 1.071 1887 0.62 1888 0.791 1889 0.864 1890 0.712 1891 0.731 1892 0.912 1893 0.738 1894 0.93 1895 0.579 1896 0.762 1897 0.828 1898 1.159 1899 0.527 1900 0.794 1901 0.688 1902 0.586 1903 0.675 1904 0.725 1905 0.946 1906 0.877 1907 1.059 1908 1.233 1909 1.096 1910 0.689 1911 0.516 1912 0.802 1913 1.038 1914 0.773 1915 0.689 1916 0.872 1917 0.898 1918 0.935 1919 0.966 1920 0.392 1921 0.924 1922 1.047 1923 0.925 1924 0.743 1925 0.812 1926 1.061 1927 1.07 1928 1.47 1929 1.695 1930 1.413 1931 1.169 1932 0.995 1933 1.105 1934 1.103 1935 1.052 1936 1.127 1937 1.119 1938 1.044 1939 1.42 1940 1.254 1941 1.142 1942 1.003 1943 1.017 1944 0.945 1945 0.939 1946 1.295 1947 1.056 1948 1.126 1949 1.079 1950 0.894 1951 1.262 1952 1.231 1953 1.391 1954 1.095 1955 0.938 1956 0.72 1957 0.986 1958 1.242 1959 1.201 1960 0.933 1961 1.116 1962 1.043 1963 1.387 1964 1.447 1965 1.27 1966 1.415 1967 0.758 1968 0.949 1969 1.021 1970 0.769 1971 0.552 1972 0.996 1973 0.823 1974 1.09 1975 0.857 1976 1.268 1977 1.208 1978 0.938 1979 1.256 1980 0.903 1981 0.934 1982 0.565 1983 0.852 1984 0.987 1985 0.983 1986 0.659 1987 0.985 1988 1.144 1989 0.412 1990 0.51