# australia_ausl020 - Sheepwash Creek - 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/3850 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl020 - Sheepwash Creek - 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: Sheepwash Creek # Location: # Country: Australia # Northernmost_Latitude: -43.47 # Southernmost_Latitude: -43.47 # Easternmost_Longitude: 147.28 # Westernmost_Longitude: 147.28 # Elevation: 340 m #-------------------- # Data_Collection # Collection_Name: australia_ausl020B # Earliest_Year: 1542 # Most_Recent_Year: 1975 # 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":"3.83691564198","T2":"13.503631689","M1":"0.02323302494","M2":"0.542052827988"}} #-------------------- # 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 1542 0.592 1543 0.615 1544 0.539 1545 0.54 1546 0.547 1547 0.563 1548 0.693 1549 0.755 1550 0.873 1551 1.119 1552 0.86 1553 0.777 1554 0.849 1555 1.038 1556 0.614 1557 0.847 1558 0.712 1559 0.934 1560 0.869 1561 0.762 1562 0.854 1563 0.57 1564 0.756 1565 0.552 1566 0.63 1567 0.597 1568 0.64 1569 0.836 1570 0.739 1571 0.846 1572 0.829 1573 0.792 1574 0.836 1575 0.784 1576 0.865 1577 0.856 1578 0.728 1579 0.798 1580 0.756 1581 0.861 1582 0.896 1583 0.751 1584 0.751 1585 0.97 1586 0.712 1587 0.94 1588 0.907 1589 0.987 1590 1.061 1591 0.829 1592 0.921 1593 0.704 1594 1.103 1595 0.875 1596 1.128 1597 0.753 1598 0.963 1599 0.845 1600 0.972 1601 0.992 1602 0.626 1603 0.732 1604 1.044 1605 0.805 1606 0.809 1607 0.874 1608 0.595 1609 1.215 1610 0.885 1611 1.18 1612 1.196 1613 0.791 1614 1.162 1615 1.001 1616 0.923 1617 1.028 1618 1.244 1619 0.876 1620 1.222 1621 0.966 1622 0.986 1623 0.658 1624 1.29 1625 0.73 1626 1.16 1627 0.903 1628 1.194 1629 1.165 1630 0.746 1631 1.297 1632 0.794 1633 1.264 1634 1.367 1635 0.935 1636 1.086 1637 1.058 1638 0.807 1639 1.17 1640 0.699 1641 1.294 1642 1.262 1643 0.887 1644 1.043 1645 1.228 1646 1.015 1647 0.99 1648 0.789 1649 1.443 1650 0.837 1651 1.247 1652 0.824 1653 1.202 1654 0.762 1655 1.131 1656 0.847 1657 1.313 1658 0.881 1659 1.296 1660 0.942 1661 0.61 1662 1.067 1663 0.944 1664 1.403 1665 1.089 1666 1.249 1667 0.985 1668 1.49 1669 1.036 1670 1.423 1671 0.973 1672 1.526 1673 1.088 1674 1.24 1675 1.169 1676 1.156 1677 0.69 1678 1.085 1679 0.738 1680 1.061 1681 0.664 1682 1.209 1683 0.938 1684 1.092 1685 1.29 1686 1.256 1687 0.676 1688 0.912 1689 0.841 1690 1.361 1691 0.933 1692 1.224 1693 1.06 1694 1.383 1695 1.195 1696 0.763 1697 0.784 1698 1.573 1699 1.431 1700 1.118 1701 1.188 1702 0.855 1703 1.499 1704 0.846 1705 1.14 1706 1.575 1707 0.806 1708 0.929 1709 0.493 1710 1.326 1711 0.85 1712 1.034 1713 1.022 1714 1.655 1715 0.956 1716 1.312 1717 0.922 1718 1.165 1719 0.651 1720 0.947 1721 0.778 1722 1.441 1723 0.717 1724 1.027 1725 0.413 1726 1.447 1727 1.134 1728 0.899 1729 1.184 1730 0.591 1731 0.828 1732 0.692 1733 1.33 1734 1.075 1735 0.95 1736 0.817 1737 1.317 1738 0.933 1739 1.527 1740 1.105 1741 1.309 1742 0.979 1743 1.625 1744 1.346 1745 1.222 1746 1.564 1747 0.76 1748 1.224 1749 0.856 1750 1.016 1751 1.334 1752 0.532 1753 0.911 1754 0.645 1755 1.107 1756 1.165 1757 1.17 1758 0.813 1759 0.812 1760 0.908 1761 1.038 1762 0.852 1763 1.02 1764 0.841 1765 0.65 1766 0.919 1767 0.901 1768 0.907 1769 0.885 1770 1.133 1771 1.061 1772 1.146 1773 1.34 1774 0.989 1775 1.151 1776 0.76 1777 0.519 1778 1.372 1779 1.148 1780 1.129 1781 1.375 1782 1.042 1783 1.153 1784 1.31 1785 0.371 1786 0.637 1787 0.673 1788 0.933 1789 0.674 1790 0.747 1791 1.011 1792 1.176 1793 0.807 1794 1.105 1795 1.155 1796 0.729 1797 0.771 1798 1.115 1799 1.012 1800 1.266 1801 0.835 1802 1.074 1803 0.863 1804 1.114 1805 0.786 1806 0.925 1807 0.989 1808 0.59 1809 0.991 1810 1.009 1811 1.087 1812 0.982 1813 1.254 1814 0.66 1815 1.143 1816 0.431 1817 1.151 1818 1.047 1819 1.072 1820 1.261 1821 0.817 1822 1.32 1823 0.732 1824 1.159 1825 0.671 1826 1.027 1827 0.922 1828 0.716 1829 1.066 1830 0.937 1831 1.142 1832 0.635 1833 0.857 1834 0.366 1835 0.736 1836 0.762 1837 0.902 1838 0.725 1839 1.023 1840 0.405 1841 0.613 1842 0.969 1843 0.602 1844 0.737 1845 0.537 1846 0.815 1847 0.494 1848 0.741 1849 0.905 1850 0.483 1851 0.615 1852 0.651 1853 0.774 1854 0.603 1855 0.73 1856 0.782 1857 1.099 1858 0.756 1859 0.963 1860 0.708 1861 1.022 1862 1.129 1863 0.896 1864 1.049 1865 0.924 1866 0.888 1867 1.287 1868 1.21 1869 0.717 1870 0.857 1871 1.174 1872 0.628 1873 1.019 1874 1.202 1875 1.088 1876 1.02 1877 1.162 1878 1.115 1879 0.889 1880 0.77 1881 1.119 1882 0.616 1883 1.033 1884 1.127 1885 0.705 1886 0.791 1887 0.519 1888 0.937 1889 0.519 1890 0.856 1891 1.025 1892 0.765 1893 1.134 1894 0.905 1895 1.022 1896 0.951 1897 0.578 1898 0.666 1899 0.716 1900 1.105 1901 1.156 1902 1.266 1903 0.686 1904 0.824 1905 0.872 1906 0.931 1907 1.054 1908 0.371 1909 0.83 1910 0.433 1911 1.056 1912 0.765 1913 1.107 1914 0.771 1915 1.086 1916 1.099 1917 1.08 1918 1.104 1919 1.103 1920 0.906 1921 1.035 1922 1.328 1923 1.602 1924 1.343 1925 1.574 1926 1.062 1927 1.108 1928 1.172 1929 1.551 1930 1.24 1931 1.19 1932 1.518 1933 1.356 1934 0.793 1935 1.174 1936 1.154 1937 1.522 1938 1.03 1939 1.171 1940 1.264 1941 1.219 1942 1.297 1943 1.016 1944 1.175 1945 1.097 1946 0.672 1947 1.039 1948 1.088 1949 1.156 1950 1.025 1951 1.007 1952 1.285 1953 1.058 1954 1.214 1955 1.085 1956 0.979 1957 1.438 1958 1.079 1959 0.887 1960 0.854 1961 0.97 1962 1.158 1963 0.966 1964 1.152 1965 1.167 1966 -0.029 1967 0.224 1968 0.721 1969 1.46 1970 1.173 1971 1.09 1972 0.918 1973 0.748 1974 0.482 1975 1.073