# northamerica_usa_ca066 - Antelope Lake - 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_ca066 - Antelope Lake - 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: Antelope Lake # Location: # Country: United States # Northernmost_Latitude: 40.15 # Southernmost_Latitude: 40.15 # Easternmost_Longitude: -120.6 # Westernmost_Longitude: -120.6 # Elevation: 1480 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca066B # Earliest_Year: 1600 # Most_Recent_Year: 1980 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.07373329992"}{"T2":"14.9241593221"}{"M1":"0.0228182419574"}{"M2":"0.515645714059"} #-------------------- # Species # Species_Name: Jeffrey pine # Species_Code: PIJE #-------------------- # 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 0.887 1601 1.093 1602 0.99 1603 0.934 1604 0.964 1605 1.082 1606 0.946 1607 0.917 1608 0.974 1609 0.914 1610 1.081 1611 1.331 1612 1.087 1613 1.091 1614 0.902 1615 1.28 1616 0.859 1617 1.059 1618 0.879 1619 0.832 1620 0.773 1621 0.84 1622 0.899 1623 0.968 1624 0.919 1625 1.095 1626 0.55 1627 0.648 1628 0.945 1629 0.6 1630 0.615 1631 0.551 1632 0.839 1633 1.06 1634 1.33 1635 1.349 1636 1.32 1637 1.212 1638 0.957 1639 0.601 1640 0.998 1641 1.326 1642 0.969 1643 1.033 1644 1.09 1645 0.971 1646 0.888 1647 1.082 1648 0.959 1649 0.939 1650 0.932 1651 0.959 1652 0.947 1653 0.828 1654 0.754 1655 0.659 1656 0.78 1657 0.561 1658 0.629 1659 0.785 1660 1.145 1661 1.122 1662 0.937 1663 0.88 1664 0.874 1665 0.804 1666 0.97 1667 0.627 1668 0.651 1669 0.926 1670 0.965 1671 1.019 1672 1.093 1673 0.995 1674 1.221 1675 1.042 1676 0.789 1677 0.841 1678 1.058 1679 1.107 1680 1.005 1681 1.052 1682 1.205 1683 0.982 1684 1.098 1685 1.126 1686 0.936 1687 1.096 1688 1.133 1689 1.019 1690 1.054 1691 1.032 1692 0.994 1693 0.98 1694 1.077 1695 0.928 1696 0.765 1697 1.007 1698 1.108 1699 0.989 1700 1.09 1701 0.943 1702 1.27 1703 0.846 1704 0.792 1705 1.029 1706 0.992 1707 0.996 1708 1.093 1709 1.166 1710 1.071 1711 0.821 1712 0.96 1713 1.081 1714 1.019 1715 1.241 1716 1.204 1717 1.028 1718 0.999 1719 0.892 1720 1.049 1721 0.793 1722 0.679 1723 0.929 1724 0.86 1725 0.765 1726 0.929 1727 1.004 1728 1.043 1729 0.945 1730 1.094 1731 1.118 1732 1.144 1733 0.972 1734 0.896 1735 1.06 1736 0.988 1737 1.152 1738 1.205 1739 0.614 1740 0.817 1741 0.971 1742 1.045 1743 1.011 1744 1.128 1745 1.239 1746 1.069 1747 1.049 1748 0.772 1749 1.137 1750 0.961 1751 1.043 1752 1.001 1753 0.973 1754 1.044 1755 1.084 1756 0.839 1757 0.862 1758 0.822 1759 0.993 1760 0.912 1761 1.139 1762 1.033 1763 0.95 1764 0.881 1765 1.009 1766 1.023 1767 0.913 1768 0.982 1769 0.843 1770 0.762 1771 0.772 1772 0.866 1773 0.955 1774 0.956 1775 0.875 1776 0.46 1777 0.382 1778 0.577 1779 0.703 1780 0.748 1781 0.772 1782 0.732 1783 0.495 1784 0.801 1785 0.926 1786 0.962 1787 0.774 1788 0.894 1789 1.012 1790 1.001 1791 1.092 1792 1.224 1793 1.111 1794 0.958 1795 0.73 1796 0.85 1797 0.931 1798 0.985 1799 1.118 1800 1.027 1801 1.336 1802 1.137 1803 1.203 1804 1.22 1805 1.18 1806 1.145 1807 1.186 1808 1.144 1809 1.474 1810 1.373 1811 1.401 1812 1.408 1813 1.424 1814 1.2 1815 1.075 1816 1.162 1817 1.19 1818 1.268 1819 1.326 1820 1.242 1821 0.929 1822 0.706 1823 0.785 1824 0.865 1825 1.031 1826 1.166 1827 1.21 1828 1.241 1829 0.68 1830 0.835 1831 0.925 1832 1.132 1833 1.153 1834 0.954 1835 1.179 1836 1.291 1837 1.242 1838 1.144 1839 1.105 1840 1.08 1841 1.028 1842 1.047 1843 1.03 1844 0.782 1845 1.168 1846 0.762 1847 0.842 1848 0.871 1849 0.855 1850 0.779 1851 0.861 1852 0.805 1853 1.034 1854 0.748 1855 1.089 1856 0.983 1857 1.022 1858 0.926 1859 0.839 1860 1.254 1861 1.43 1862 1.068 1863 1.166 1864 0.892 1865 0.908 1866 1.139 1867 1.082 1868 1.221 1869 1.098 1870 1.057 1871 0.868 1872 1.043 1873 1.123 1874 1.154 1875 1.28 1876 1.135 1877 1.158 1878 1.223 1879 1.362 1880 1.018 1881 1.22 1882 1.06 1883 1.012 1884 1.083 1885 1.12 1886 0.803 1887 0.905 1888 0.862 1889 0.768 1890 0.738 1891 0.894 1892 1.039 1893 1.092 1894 1.132 1895 1.158 1896 1.213 1897 1.159 1898 1.166 1899 1.043 1900 1.542 1901 1.336 1902 1.191 1903 1.183 1904 1.296 1905 1.222 1906 1.316 1907 1.58 1908 1.615 1909 1.276 1910 1.25 1911 1.204 1912 0.99 1913 1.094 1914 0.957 1915 0.829 1916 0.977 1917 0.967 1918 0.868 1919 1.014 1920 0.822 1921 1.009 1922 0.851 1923 1.053 1924 0.641 1925 0.833 1926 0.948 1927 0.755 1928 0.767 1929 0.546 1930 0.751 1931 0.756 1932 0.556 1933 0.606 1934 0.658 1935 0.56 1936 0.548 1937 0.472 1938 0.641 1939 0.583 1940 0.691 1941 0.827 1942 0.876 1943 0.991 1944 0.781 1945 0.967 1946 0.951 1947 0.965 1948 0.799 1949 0.715 1950 0.795 1951 0.882 1952 0.723 1953 1.06 1954 0.929 1955 0.748 1956 0.827 1957 0.935 1958 1.078 1959 0.949 1960 0.678 1961 0.975 1962 0.903 1963 1.101 1964 1.104 1965 1.077 1966 1.067 1967 0.931 1968 0.921 1969 1.01 1970 0.957 1971 0.808 1972 0.988 1973 0.672 1974 0.762 1975 0.886 1976 0.675 1977 0.523 1978 0.973 1979 0.77 1980 0.884