# australia_ausl005 - Holly Range 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/3834 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl005 - Holly Range 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: Holly Range Road # Location: # Country: Australia # Northernmost_Latitude: -42.77 # Southernmost_Latitude: -42.77 # Easternmost_Longitude: 146.07 # Westernmost_Longitude: 146.07 # Elevation: 400 m #-------------------- # Data_Collection # Collection_Name: australia_ausl005B # Earliest_Year: 1748 # Most_Recent_Year: 1974 # 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":"2.17294155823","T2":"10.9098355487","M1":"0.0230024510959","M2":"0.657881041947"}} #-------------------- # 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 1748 1.13 1749 1.09 1750 1.147 1751 1.299 1752 1.06 1753 1.392 1754 0.873 1755 1.581 1756 0.932 1757 1.426 1758 1.263 1759 1.574 1760 1.046 1761 1.576 1762 1.093 1763 1.352 1764 1.022 1765 1.445 1766 1.12 1767 1.33 1768 1.374 1769 1.434 1770 1.18 1771 1.091 1772 1.152 1773 1.247 1774 1.322 1775 1.356 1776 0.798 1777 0.678 1778 1.196 1779 1.922 1780 1.514 1781 1.516 1782 1.428 1783 1.339 1784 1.171 1785 0.903 1786 0.948 1787 0.976 1788 0.82 1789 0.807 1790 0.544 1791 1.239 1792 1.276 1793 1.029 1794 1.057 1795 1.205 1796 0.372 1797 0.839 1798 0.805 1799 0.865 1800 0.979 1801 0.954 1802 1.183 1803 1.009 1804 1.609 1805 0.905 1806 1.071 1807 1.143 1808 0.405 1809 0.805 1810 1.11 1811 0.706 1812 0.777 1813 1.264 1814 0.408 1815 1.08 1816 0.452 1817 1.102 1818 0.877 1819 0.848 1820 1.289 1821 0.851 1822 0.937 1823 0.639 1824 1.226 1825 0.752 1826 1.09 1827 1.205 1828 0.974 1829 0.945 1830 0.934 1831 1.379 1832 0.759 1833 1.194 1834 0.696 1835 0.651 1836 0.948 1837 1.146 1838 0.871 1839 1.508 1840 1.003 1841 1.301 1842 1.442 1843 1.112 1844 1.377 1845 0.73 1846 1.191 1847 0.658 1848 1.015 1849 1.408 1850 0.723 1851 0.971 1852 0.958 1853 1.268 1854 0.682 1855 0.918 1856 1.0 1857 1.506 1858 0.763 1859 1.073 1860 0.42 1861 0.758 1862 1.298 1863 0.8 1864 1.078 1865 0.995 1866 0.367 1867 0.96 1868 0.968 1869 0.766 1870 0.596 1871 1.203 1872 0.613 1873 1.019 1874 1.029 1875 1.124 1876 1.04 1877 1.242 1878 1.039 1879 0.976 1880 0.631 1881 1.041 1882 0.698 1883 1.095 1884 1.339 1885 0.732 1886 0.903 1887 0.614 1888 0.982 1889 0.426 1890 0.492 1891 0.848 1892 0.885 1893 1.105 1894 0.868 1895 1.618 1896 1.275 1897 0.961 1898 0.702 1899 0.739 1900 0.829 1901 1.017 1902 1.113 1903 0.883 1904 1.101 1905 0.959 1906 1.219 1907 1.263 1908 0.202 1909 0.682 1910 0.272 1911 0.607 1912 0.572 1913 1.251 1914 0.628 1915 1.034 1916 0.906 1917 0.921 1918 0.702 1919 1.032 1920 0.81 1921 0.718 1922 0.907 1923 1.165 1924 1.312 1925 1.178 1926 1.225 1927 1.203 1928 0.879 1929 1.265 1930 1.062 1931 1.198 1932 1.337 1933 1.311 1934 0.772 1935 0.999 1936 0.653 1937 1.016 1938 0.778 1939 0.999 1940 1.221 1941 0.994 1942 1.636 1943 1.065 1944 1.242 1945 1.325 1946 0.679 1947 0.964 1948 0.93 1949 1.368 1950 0.82 1951 0.66 1952 1.381 1953 0.573 1954 0.737 1955 0.659 1956 0.708 1957 1.356 1958 0.674 1959 0.882 1960 0.728 1961 0.705 1962 0.895 1963 0.769 1964 1.102 1965 1.19 1966 0.628 1967 1.146 1968 1.154 1969 1.007 1970 1.31 1971 1.029 1972 1.242 1973 1.199 1974 0.616