# northamerica_usa_wa129 - Long Island, Willapa Bay - 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_wa129 - Long Island, Willapa Bay - 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: Long Island, Willapa Bay # Location: # Country: United States # Northernmost_Latitude: 46.45 # Southernmost_Latitude: 46.45 # Easternmost_Longitude: -123.97 # Westernmost_Longitude: -123.97 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa129B # Earliest_Year: 1600 # Most_Recent_Year: 1986 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.21477835093"}{"T2":"17.7416806699"}{"M1":"0.0226944557776"}{"M2":"0.471568801471"} #-------------------- # Species # Species_Name: western red cedar # Species_Code: THPL #-------------------- # 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 1.002 1601 1.126 1602 1.032 1603 1.045 1604 0.972 1605 0.857 1606 0.969 1607 0.895 1608 0.879 1609 0.962 1610 1.018 1611 0.916 1612 0.9 1613 0.973 1614 1.037 1615 0.867 1616 0.725 1617 0.815 1618 0.8 1619 0.803 1620 0.916 1621 0.967 1622 0.828 1623 0.943 1624 0.824 1625 0.939 1626 0.885 1627 0.702 1628 0.855 1629 0.834 1630 0.829 1631 0.627 1632 0.806 1633 0.816 1634 0.769 1635 0.897 1636 0.779 1637 0.649 1638 1.046 1639 0.927 1640 0.916 1641 0.805 1642 0.966 1643 0.838 1644 0.709 1645 0.937 1646 0.951 1647 1.042 1648 0.786 1649 0.817 1650 1.156 1651 1.018 1652 0.955 1653 1.011 1654 1.005 1655 1.066 1656 1.241 1657 1.212 1658 1.058 1659 1.163 1660 1.155 1661 0.872 1662 1.222 1663 1.078 1664 1.029 1665 0.939 1666 1.023 1667 1.098 1668 1.111 1669 1.364 1670 1.357 1671 1.225 1672 1.113 1673 1.254 1674 1.286 1675 1.319 1676 1.206 1677 1.205 1678 1.155 1679 1.239 1680 1.016 1681 1.295 1682 1.151 1683 0.897 1684 1.045 1685 1.076 1686 1.032 1687 1.425 1688 1.344 1689 1.25 1690 1.409 1691 1.2 1692 1.099 1693 0.848 1694 0.939 1695 1.199 1696 1.185 1697 1.066 1698 0.937 1699 1.175 1700 0.927 1701 1.029 1702 1.144 1703 1.122 1704 1.135 1705 1.074 1706 0.933 1707 1.006 1708 1.048 1709 1.259 1710 1.399 1711 1.183 1712 1.202 1713 1.14 1714 1.157 1715 1.343 1716 1.267 1717 1.202 1718 1.371 1719 1.424 1720 1.14 1721 1.191 1722 1.143 1723 1.261 1724 1.085 1725 1.174 1726 1.145 1727 1.169 1728 1.148 1729 1.064 1730 1.052 1731 1.117 1732 1.104 1733 1.044 1734 1.007 1735 1.131 1736 1.041 1737 1.099 1738 1.046 1739 0.95 1740 1.02 1741 1.13 1742 1.144 1743 1.155 1744 1.119 1745 1.284 1746 1.349 1747 1.157 1748 1.24 1749 1.331 1750 1.438 1751 1.357 1752 1.191 1753 1.073 1754 1.045 1755 0.957 1756 0.805 1757 0.805 1758 1.078 1759 0.848 1760 1.087 1761 1.085 1762 1.089 1763 1.152 1764 1.152 1765 1.159 1766 1.453 1767 1.266 1768 1.17 1769 1.326 1770 1.109 1771 1.037 1772 1.248 1773 1.488 1774 1.574 1775 1.391 1776 1.051 1777 1.061 1778 1.357 1779 1.571 1780 1.451 1781 1.307 1782 1.339 1783 1.101 1784 1.063 1785 1.214 1786 1.252 1787 1.216 1788 1.453 1789 1.296 1790 1.007 1791 0.98 1792 0.993 1793 1.062 1794 1.018 1795 0.985 1796 1.216 1797 0.661 1798 0.687 1799 0.936 1800 0.971 1801 0.92 1802 1.008 1803 1.06 1804 1.039 1805 0.818 1806 0.882 1807 0.927 1808 0.933 1809 1.164 1810 0.95 1811 0.717 1812 0.653 1813 0.899 1814 0.94 1815 0.928 1816 0.868 1817 0.816 1818 0.827 1819 1.008 1820 0.952 1821 1.065 1822 1.037 1823 0.999 1824 1.016 1825 0.901 1826 0.909 1827 0.916 1828 1.12 1829 1.133 1830 1.072 1831 1.069 1832 0.959 1833 1.152 1834 1.243 1835 1.183 1836 0.902 1837 0.968 1838 0.874 1839 0.944 1840 1.004 1841 0.935 1842 0.772 1843 1.029 1844 0.998 1845 0.762 1846 0.716 1847 0.814 1848 0.807 1849 0.802 1850 0.843 1851 0.758 1852 0.739 1853 0.67 1854 0.822 1855 0.837 1856 0.816 1857 0.989 1858 0.75 1859 1.003 1860 0.86 1861 0.918 1862 0.937 1863 1.116 1864 0.923 1865 0.929 1866 0.906 1867 0.903 1868 1.007 1869 0.787 1870 0.525 1871 0.662 1872 0.78 1873 0.773 1874 0.835 1875 0.618 1876 0.766 1877 0.934 1878 1.008 1879 0.927 1880 1.112 1881 1.104 1882 1.012 1883 0.906 1884 0.979 1885 1.022 1886 0.836 1887 0.624 1888 0.991 1889 0.884 1890 0.62 1891 0.648 1892 0.616 1893 0.692 1894 0.833 1895 0.87 1896 0.57 1897 0.746 1898 0.829 1899 0.765 1900 0.902 1901 0.995 1902 0.858 1903 0.855 1904 1.004 1905 0.922 1906 0.959 1907 0.812 1908 0.829 1909 0.914 1910 0.997 1911 0.93 1912 0.594 1913 0.854 1914 0.758 1915 0.841 1916 0.867 1917 0.825 1918 0.721 1919 0.709 1920 0.743 1921 0.636 1922 0.581 1923 0.687 1924 0.631 1925 0.62 1926 0.706 1927 0.771 1928 0.76 1929 0.887 1930 0.582 1931 0.445 1932 0.604 1933 0.778 1934 0.799 1935 0.894 1936 0.717 1937 1.032 1938 1.01 1939 0.958 1940 0.902 1941 0.929 1942 0.898 1943 1.004 1944 1.045 1945 1.003 1946 1.17 1947 1.43 1948 1.32 1949 1.388 1950 1.22 1951 1.205 1952 1.401 1953 1.431 1954 1.365 1955 1.321 1956 0.824 1957 0.913 1958 1.048 1959 1.075 1960 1.261 1961 1.149 1962 1.249 1963 1.376 1964 1.148 1965 1.125 1966 1.191 1967 1.071 1968 1.042 1969 0.975 1970 1.025 1971 1.191 1972 0.746 1973 1.016 1974 1.086 1975 0.972 1976 1.015 1977 0.888 1978 0.837 1979 0.829 1980 0.86 1981 0.844 1982 0.877 1983 0.817 1984 0.483 1985 0.701 1986 0.723