# australia_ausl012 - Coolangatta 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/3827 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl012 - Coolangatta 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: Coolangatta Road # Location: # Country: Australia # Northernmost_Latitude: -43.37 # Southernmost_Latitude: -43.37 # Easternmost_Longitude: 147.27 # Westernmost_Longitude: 147.27 # Elevation: 450 m #-------------------- # Data_Collection # Collection_Name: australia_ausl012B # Earliest_Year: 1726 # 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":"4.69408941399","T2":"14.1776421403","M1":"0.0226324966017","M2":"0.487089289913"}} #-------------------- # 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 1726 0.843 1727 0.697 1728 0.586 1729 0.688 1730 0.604 1731 0.891 1732 0.684 1733 0.829 1734 0.922 1735 0.622 1736 0.667 1737 0.872 1738 0.735 1739 1.03 1740 0.701 1741 0.837 1742 0.859 1743 0.999 1744 0.83 1745 0.791 1746 1.152 1747 0.833 1748 1.026 1749 0.708 1750 1.015 1751 0.901 1752 0.833 1753 1.183 1754 0.898 1755 1.178 1756 0.976 1757 1.084 1758 0.913 1759 0.91 1760 0.826 1761 1.027 1762 0.721 1763 1.013 1764 0.928 1765 0.959 1766 0.973 1767 0.903 1768 1.021 1769 0.902 1770 1.048 1771 0.939 1772 1.1 1773 1.188 1774 1.027 1775 1.148 1776 0.592 1777 0.686 1778 1.283 1779 0.969 1780 1.272 1781 1.04 1782 1.125 1783 0.982 1784 0.853 1785 0.583 1786 0.777 1787 0.759 1788 0.784 1789 0.883 1790 0.825 1791 1.149 1792 1.21 1793 1.028 1794 1.152 1795 0.988 1796 1.139 1797 1.283 1798 1.225 1799 1.144 1800 1.447 1801 0.968 1802 1.289 1803 0.981 1804 1.264 1805 1.01 1806 1.096 1807 1.05 1808 0.62 1809 1.164 1810 1.208 1811 0.998 1812 1.228 1813 1.205 1814 0.741 1815 1.376 1816 0.792 1817 1.473 1818 1.508 1819 1.273 1820 1.461 1821 1.14 1822 1.493 1823 1.096 1824 1.261 1825 0.97 1826 1.211 1827 0.816 1828 0.922 1829 0.95 1830 1.06 1831 1.167 1832 0.682 1833 1.074 1834 0.795 1835 1.096 1836 1.003 1837 1.07 1838 0.834 1839 1.255 1840 0.72 1841 1.152 1842 1.174 1843 0.669 1844 1.077 1845 0.685 1846 1.068 1847 0.761 1848 0.905 1849 1.005 1850 0.751 1851 0.922 1852 0.747 1853 0.813 1854 0.607 1855 1.099 1856 0.902 1857 1.104 1858 0.794 1859 1.046 1860 0.606 1861 1.067 1862 1.35 1863 0.963 1864 1.404 1865 0.995 1866 0.98 1867 1.311 1868 1.362 1869 0.879 1870 1.452 1871 1.28 1872 0.863 1873 1.147 1874 1.305 1875 1.08 1876 1.279 1877 1.355 1878 0.997 1879 1.304 1880 0.559 1881 1.278 1882 0.672 1883 1.386 1884 1.308 1885 0.807 1886 0.897 1887 0.543 1888 1.086 1889 0.469 1890 1.071 1891 1.225 1892 0.881 1893 1.494 1894 1.191 1895 1.394 1896 1.24 1897 0.601 1898 0.434 1899 0.909 1900 1.193 1901 1.736 1902 1.62 1903 0.844 1904 1.139 1905 1.073 1906 1.173 1907 1.514 1908 0.545 1909 1.031 1910 0.212 1911 1.202 1912 0.838 1913 1.183 1914 0.411 1915 0.944 1916 1.232 1917 0.944 1918 1.534 1919 1.179 1920 0.842 1921 1.138 1922 1.575 1923 1.829 1924 1.127 1925 1.402 1926 0.717 1927 1.148 1928 0.735 1929 1.173 1930 1.066 1931 1.139 1932 1.271 1933 1.143 1934 0.328 1935 0.632 1936 0.581 1937 1.153 1938 0.451 1939 0.852 1940 0.895 1941 0.869 1942 0.982 1943 0.671 1944 0.884 1945 0.703 1946 0.231 1947 0.72 1948 0.728 1949 0.641 1950 0.706 1951 0.475 1952 0.812 1953 0.661 1954 0.88 1955 0.628 1956 0.638 1957 1.42 1958 0.972 1959 0.844 1960 0.651 1961 0.741 1962 1.123 1963 0.84 1964 0.659 1965 0.986 1966 0.25 1967 0.354 1968 0.929 1969 0.809 1970 1.013 1971 0.915 1972 0.98 1973 0.529 1974 0.767 1975 0.927