# australia_ausl022 - Lake Marilyn High - 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2921 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl022 - Lake Marilyn High - 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. #-------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Lake Marilyn High # Location: # Country: Australia # Northernmost_Latitude: -42.33 # Southernmost_Latitude: -42.33 # Easternmost_Longitude: 146.0 # Westernmost_Longitude: 146.0 # Elevation: 800 m #-------------------- # Data_Collection # Collection_Name: australia_ausl022B # Earliest_Year: 1542 # Most_Recent_Year: 1992 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"4.92045743792","T2":"17.5342211961","M1":"0.0225491355611","M2":"0.396721858753"}} #-------------------- # Species # Species_Name: huon pine # Species_Code: LGFR #-------------------- # 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 1542 0.996 1543 0.955 1544 1.081 1545 1.111 1546 1.084 1547 0.91 1548 0.838 1549 0.928 1550 0.798 1551 0.799 1552 0.858 1553 0.874 1554 0.901 1555 0.785 1556 0.713 1557 0.685 1558 0.782 1559 0.755 1560 0.757 1561 0.682 1562 0.864 1563 0.754 1564 0.886 1565 0.885 1566 0.817 1567 0.974 1568 0.74 1569 0.715 1570 0.694 1571 0.925 1572 0.954 1573 0.893 1574 0.694 1575 0.931 1576 0.948 1577 0.86 1578 0.762 1579 0.777 1580 0.773 1581 1.027 1582 0.845 1583 0.848 1584 0.97 1585 0.863 1586 0.844 1587 0.97 1588 0.845 1589 0.859 1590 0.822 1591 0.856 1592 0.957 1593 0.882 1594 0.828 1595 0.818 1596 0.782 1597 0.816 1598 0.835 1599 0.885 1600 0.906 1601 0.97 1602 0.978 1603 1.136 1604 1.126 1605 1.073 1606 1.025 1607 0.98 1608 1.178 1609 1.027 1610 1.177 1611 1.044 1612 1.008 1613 1.014 1614 1.036 1615 1.181 1616 1.122 1617 1.266 1618 1.244 1619 1.128 1620 1.206 1621 1.098 1622 0.959 1623 1.006 1624 0.908 1625 0.919 1626 1.034 1627 0.948 1628 0.943 1629 0.964 1630 1.027 1631 0.95 1632 0.837 1633 0.878 1634 0.827 1635 1.02 1636 0.959 1637 1.075 1638 1.003 1639 1.029 1640 1.012 1641 1.147 1642 1.047 1643 1.059 1644 1.04 1645 1.036 1646 0.941 1647 0.898 1648 0.978 1649 1.004 1650 0.952 1651 1.006 1652 0.923 1653 0.98 1654 0.895 1655 1.056 1656 0.924 1657 0.945 1658 0.843 1659 0.852 1660 0.985 1661 1.122 1662 1.114 1663 0.814 1664 0.781 1665 1.024 1666 1.128 1667 1.023 1668 0.927 1669 0.985 1670 0.996 1671 1.142 1672 1.191 1673 1.106 1674 0.958 1675 1.111 1676 1.101 1677 1.112 1678 1.034 1679 1.072 1680 0.905 1681 0.992 1682 1.041 1683 1.069 1684 0.978 1685 0.807 1686 0.857 1687 0.868 1688 0.925 1689 1.028 1690 1.13 1691 0.895 1692 1.035 1693 0.939 1694 0.936 1695 1.111 1696 0.789 1697 1.279 1698 1.015 1699 0.927 1700 0.946 1701 1.113 1702 1.164 1703 1.219 1704 1.142 1705 1.021 1706 1.026 1707 1.051 1708 1.153 1709 1.061 1710 0.957 1711 0.957 1712 1.039 1713 0.917 1714 0.959 1715 1.079 1716 1.17 1717 0.859 1718 0.86 1719 0.989 1720 1.045 1721 0.914 1722 0.968 1723 1.047 1724 0.968 1725 1.143 1726 1.111 1727 0.993 1728 0.887 1729 0.964 1730 1.135 1731 1.044 1732 0.932 1733 0.853 1734 0.911 1735 0.991 1736 0.866 1737 0.921 1738 0.844 1739 0.973 1740 0.862 1741 0.964 1742 0.992 1743 0.812 1744 0.885 1745 0.989 1746 0.969 1747 1.031 1748 1.069 1749 0.925 1750 0.852 1751 1.001 1752 1.098 1753 1.154 1754 1.065 1755 0.971 1756 0.952 1757 0.869 1758 0.984 1759 1.057 1760 0.92 1761 1.006 1762 0.963 1763 0.848 1764 0.836 1765 0.925 1766 1.008 1767 0.997 1768 0.91 1769 0.979 1770 0.967 1771 0.915 1772 1.025 1773 0.947 1774 0.863 1775 0.826 1776 0.834 1777 0.979 1778 1.052 1779 1.114 1780 0.996 1781 1.057 1782 1.108 1783 0.94 1784 0.952 1785 1.208 1786 0.815 1787 1.054 1788 1.129 1789 1.174 1790 0.895 1791 1.045 1792 1.164 1793 0.912 1794 0.995 1795 1.199 1796 1.256 1797 1.28 1798 1.219 1799 0.99 1800 1.301 1801 1.03 1802 1.135 1803 0.964 1804 0.86 1805 1.052 1806 1.026 1807 1.053 1808 0.818 1809 0.849 1810 1.047 1811 0.78 1812 0.744 1813 0.889 1814 0.805 1815 1.073 1816 1.091 1817 0.926 1818 1.052 1819 0.995 1820 0.935 1821 1.051 1822 0.941 1823 0.898 1824 0.893 1825 0.936 1826 1.037 1827 1.141 1828 0.822 1829 1.145 1830 0.997 1831 0.942 1832 0.841 1833 0.785 1834 0.951 1835 0.91 1836 0.948 1837 0.879 1838 0.869 1839 0.976 1840 1.107 1841 1.082 1842 1.031 1843 1 1844 0.913 1845 0.941 1846 0.994 1847 1.123 1848 0.858 1849 0.723 1850 0.854 1851 0.916 1852 0.888 1853 0.773 1854 1.124 1855 0.976 1856 1.057 1857 1.013 1858 1.064 1859 1.125 1860 1.35 1861 1.349 1862 1.203 1863 1.058 1864 1.04 1865 0.988 1866 1.03 1867 1.012 1868 0.908 1869 0.967 1870 1.05 1871 1.16 1872 1.117 1873 1.128 1874 1.048 1875 0.977 1876 0.891 1877 1.095 1878 0.959 1879 1.017 1880 0.975 1881 1.147 1882 1.146 1883 1.161 1884 0.975 1885 0.994 1886 0.809 1887 0.831 1888 0.98 1889 0.977 1890 0.823 1891 0.889 1892 0.939 1893 1.127 1894 1.087 1895 0.819 1896 0.793 1897 0.816 1898 0.737 1899 0.825 1900 0.782 1901 0.648 1902 0.761 1903 0.896 1904 0.811 1905 0.833 1906 0.851 1907 0.823 1908 0.603 1909 0.94 1910 1.034 1911 0.863 1912 1.004 1913 1.09 1914 1.113 1915 1.261 1916 1.182 1917 1.233 1918 1.2 1919 1.105 1920 1.134 1921 1.081 1922 0.94 1923 1.025 1924 0.96 1925 1.007 1926 1.043 1927 1.018 1928 1.008 1929 0.859 1930 0.826 1931 0.84 1932 0.846 1933 0.934 1934 1.132 1935 1.022 1936 0.948 1937 0.749 1938 0.954 1939 0.954 1940 0.865 1941 0.933 1942 1.029 1943 0.961 1944 0.787 1945 0.795 1946 0.993 1947 1.167 1948 0.97 1949 0.893 1950 1.062 1951 0.87 1952 1.008 1953 0.941 1954 1.042 1955 1.151 1956 0.83 1957 0.917 1958 1.065 1959 1.068 1960 1.338 1961 1.185 1962 1.158 1963 1.013 1964 0.99 1965 0.958 1966 0.968 1967 1.232 1968 1.08 1969 0.935 1970 1.055 1971 0.981 1972 1.033 1973 1.082 1974 1.107 1975 0.883 1976 0.962 1977 0.959 1978 1.005 1979 0.771 1980 0.948 1981 0.827 1982 0.821 1983 0.788 1984 0.727 1985 0.947 1986 0.924 1987 0.993 1988 0.846 1989 0.907 1990 0.948 1991 0.896 1992 0.951