# australia_ausl014 - Lockley Spur Road - 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/3837 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl014 - Lockley Spur Road - 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: Lockley Spur Road # Location: # Country: Australia # Northernmost_Latitude: -43.42 # Southernmost_Latitude: -43.42 # Easternmost_Longitude: 147.27 # Westernmost_Longitude: 147.27 # Elevation: 350 m #-------------------- # Data_Collection # Collection_Name: australia_ausl014B # Earliest_Year: 1573 # Most_Recent_Year: 1975 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"3.46341171831","T2":"13.2695532644","M1":"0.022766986044","M2":"0.552494640915"}} #-------------------- # Species # Species_Name: celery top pine # Species_Code: PHAS #-------------------- # 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 1573 0.725 1574 0.612 1575 0.567 1576 0.61 1577 0.738 1578 0.914 1579 0.751 1580 0.726 1581 0.734 1582 0.672 1583 0.63 1584 0.626 1585 0.708 1586 0.74 1587 0.865 1588 0.913 1589 0.899 1590 0.953 1591 0.804 1592 0.743 1593 0.677 1594 0.892 1595 0.854 1596 0.933 1597 0.696 1598 0.907 1599 1.009 1600 0.966 1601 1.17 1602 0.856 1603 1.062 1604 1.438 1605 1.192 1606 1.23 1607 1.292 1608 1.141 1609 1.337 1610 1.311 1611 1.342 1612 1.352 1613 1.154 1614 1.237 1615 1.335 1616 1.191 1617 1.4 1618 1.231 1619 1.196 1620 1.187 1621 0.871 1622 0.921 1623 0.846 1624 1.383 1625 0.771 1626 1.012 1627 1.165 1628 0.908 1629 1.128 1630 0.891 1631 1.183 1632 0.929 1633 1.156 1634 1.202 1635 1.031 1636 1.11 1637 1.106 1638 1.037 1639 1.189 1640 1.037 1641 1.177 1642 1.351 1643 0.905 1644 1.054 1645 1.068 1646 0.933 1647 0.939 1648 0.886 1649 1.274 1650 0.855 1651 1.228 1652 0.739 1653 1.097 1654 0.862 1655 0.867 1656 0.751 1657 1.183 1658 0.779 1659 1.101 1660 0.537 1661 0.591 1662 0.937 1663 1.137 1664 1.286 1665 0.954 1666 0.881 1667 1.045 1668 1.463 1669 1.133 1670 1.406 1671 0.867 1672 1.347 1673 1.003 1674 1.152 1675 1.179 1676 1.034 1677 0.81 1678 0.965 1679 0.905 1680 1.239 1681 0.811 1682 0.984 1683 0.652 1684 1.001 1685 1.081 1686 1.088 1687 0.473 1688 0.606 1689 0.619 1690 0.996 1691 0.788 1692 1.258 1693 1.122 1694 1.204 1695 0.982 1696 0.853 1697 0.95 1698 1.328 1699 1.28 1700 0.988 1701 1.018 1702 0.817 1703 1.157 1704 0.683 1705 1.131 1706 1.354 1707 0.741 1708 0.706 1709 0.479 1710 0.875 1711 0.61 1712 0.989 1713 1.04 1714 1.292 1715 0.662 1716 1.04 1717 0.892 1718 1.116 1719 0.712 1720 1.079 1721 0.677 1722 1.22 1723 0.571 1724 0.799 1725 0.439 1726 1.377 1727 0.95 1728 1.018 1729 1.253 1730 0.55 1731 0.941 1732 0.517 1733 1.221 1734 0.911 1735 0.83 1736 0.551 1737 1.174 1738 0.689 1739 1.278 1740 0.799 1741 1.128 1742 0.876 1743 1.415 1744 1.247 1745 1.235 1746 1.496 1747 0.601 1748 1.234 1749 0.752 1750 1.168 1751 1.201 1752 0.615 1753 1.054 1754 0.567 1755 1.051 1756 0.8 1757 1.149 1758 0.912 1759 1.065 1760 0.877 1761 1.238 1762 0.789 1763 1.287 1764 1.025 1765 0.869 1766 1.058 1767 0.847 1768 0.856 1769 1.115 1770 1.275 1771 1.172 1772 1.204 1773 1.474 1774 1.114 1775 1.199 1776 0.646 1777 0.663 1778 0.986 1779 0.95 1780 1.043 1781 1.213 1782 1.013 1783 0.968 1784 0.907 1785 0.32 1786 0.427 1787 0.432 1788 0.54 1789 0.492 1790 0.37 1791 0.865 1792 1.066 1793 0.508 1794 0.728 1795 0.603 1796 0.381 1797 0.662 1798 0.958 1799 0.798 1800 1.079 1801 0.6 1802 0.97 1803 0.849 1804 1.122 1805 0.614 1806 0.843 1807 0.869 1808 0.439 1809 0.8 1810 0.935 1811 0.788 1812 1.041 1813 1.223 1814 0.365 1815 1.024 1816 0.274 1817 0.94 1818 0.98 1819 1.01 1820 1.5 1821 1.061 1822 1.37 1823 1.035 1824 1.308 1825 1.144 1826 1.319 1827 0.938 1828 0.909 1829 1.093 1830 1.172 1831 1.313 1832 0.85 1833 1.002 1834 0.552 1835 0.843 1836 0.872 1837 1.001 1838 0.936 1839 1.369 1840 0.522 1841 0.853 1842 1.136 1843 0.833 1844 1.095 1845 0.961 1846 1.093 1847 0.833 1848 0.847 1849 1.373 1850 0.884 1851 1.04 1852 0.823 1853 1.078 1854 0.82 1855 0.933 1856 1.016 1857 1.279 1858 0.863 1859 0.956 1860 0.63 1861 1.126 1862 1.268 1863 1.238 1864 1.419 1865 0.989 1866 0.983 1867 1.585 1868 1.396 1869 1.023 1870 1.092 1871 1.222 1872 0.74 1873 1.366 1874 1.487 1875 1.422 1876 1.372 1877 1.399 1878 1.446 1879 1.153 1880 1.01 1881 1.369 1882 0.891 1883 1.445 1884 1.516 1885 1.263 1886 1.308 1887 0.704 1888 1.006 1889 0.724 1890 1.203 1891 1.314 1892 1.031 1893 1.996 1894 1.402 1895 1.684 1896 1.388 1897 0.978 1898 0.838 1899 0.864 1900 1.447 1901 1.481 1902 1.654 1903 0.885 1904 0.919 1905 0.868 1906 1.071 1907 1.152 1908 0.531 1909 0.787 1910 0.366 1911 1.13 1912 0.928 1913 1.18 1914 0.604 1915 0.74 1916 1.336 1917 0.879 1918 1.389 1919 0.876 1920 0.882 1921 0.802 1922 1.12 1923 1.322 1924 1.043 1925 1.087 1926 0.602 1927 0.579 1928 0.819 1929 1.233 1930 0.977 1931 0.849 1932 1.103 1933 0.888 1934 0.482 1935 0.641 1936 0.99 1937 1.352 1938 0.744 1939 0.717 1940 0.991 1941 0.583 1942 0.89 1943 0.697 1944 0.964 1945 0.903 1946 0.565 1947 0.742 1948 1.196 1949 1.134 1950 0.627 1951 0.872 1952 0.99 1953 1.064 1954 1.165 1955 0.998 1956 0.954 1957 1.744 1958 1.14 1959 1.024 1960 0.894 1961 0.765 1962 0.958 1963 0.819 1964 1.029 1965 1.124 1966 0.311 1967 0.495 1968 0.869 1969 0.942 1970 0.843 1971 1.022 1972 0.747 1973 0.658 1974 0.649 1975 0.981