# australia_ausl021 - Weindorfer Forest - 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/3149 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl021 - Weindorfer Forest - 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: Weindorfer Forest # Location: # Country: Australia # Northernmost_Latitude: -41.63 # Southernmost_Latitude: -41.63 # Easternmost_Longitude: 145.93 # Westernmost_Longitude: 145.93 # Elevation: 1000 m #-------------------- # Data_Collection # Collection_Name: australia_ausl021B # Earliest_Year: 1804 # 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":"5.34953996302","T2":"11.3743383855","M1":"0.0227936388037","M2":"0.599684497703"}} #-------------------- # Species # Species_Name: tanglefoot beech nothofagus # Species_Code: NOGU #-------------------- # 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 1804 1.236 1805 1.107 1806 0.777 1807 0.959 1808 0.821 1809 1.155 1810 1.047 1811 0.956 1812 0.867 1813 0.851 1814 0.63 1815 0.768 1816 0.961 1817 0.926 1818 1.074 1819 1.072 1820 1.185 1821 1.041 1822 1.21 1823 0.983 1824 1.025 1825 1.171 1826 1.119 1827 1.155 1828 0.701 1829 0.701 1830 0.664 1831 0.843 1832 0.782 1833 0.752 1834 0.72 1835 0.917 1836 0.93 1837 1.149 1838 0.916 1839 1.105 1840 1.216 1841 0.757 1842 1.021 1843 1.205 1844 1.318 1845 0.961 1846 1.232 1847 1.037 1848 0.779 1849 0.774 1850 0.972 1851 1.159 1852 1.132 1853 1.301 1854 1.047 1855 1.019 1856 0.946 1857 1.062 1858 0.99 1859 0.934 1860 1.013 1861 0.838 1862 1.16 1863 1.036 1864 1.033 1865 1.131 1866 0.93 1867 0.858 1868 0.868 1869 1.073 1870 1.071 1871 1.075 1872 0.889 1873 0.893 1874 1.003 1875 0.991 1876 0.922 1877 0.818 1878 0.738 1879 0.842 1880 0.928 1881 0.934 1882 1.385 1883 1.034 1884 1.135 1885 1.416 1886 1.019 1887 0.924 1888 1.06 1889 0.841 1890 0.814 1891 0.743 1892 1.098 1893 1.31 1894 1.138 1895 1.284 1896 1.384 1897 1.145 1898 0.527 1899 0.493 1900 0.859 1901 1.142 1902 1.264 1903 1.263 1904 1.125 1905 1.269 1906 1.139 1907 1.102 1908 0.679 1909 0.276 1910 0.517 1911 0.564 1912 0.887 1913 1.133 1914 0.929 1915 1.173 1916 1.285 1917 1.313 1918 0.878 1919 1.376 1920 1.219 1921 0.941 1922 0.815 1923 1.013 1924 1.216 1925 1.303 1926 0.954 1927 1.093 1928 0.706 1929 0.74 1930 0.588 1931 0.711 1932 0.822 1933 0.986 1934 0.901 1935 0.95 1936 0.977 1937 0.898 1938 0.932 1939 0.829 1940 0.998 1941 1.234 1942 1.124 1943 1.351 1944 1.175 1945 1.152 1946 1.039 1947 0.825 1948 0.838 1949 0.825 1950 1.131 1951 0.736 1952 0.744 1953 0.886 1954 0.826 1955 0.772 1956 0.442 1957 0.823 1958 0.923 1959 0.659 1960 0.571 1961 0.571 1962 0.732 1963 0.89 1964 1.064 1965 1.286 1966 1.127 1967 0.94 1968 0.981 1969 1.03 1970 1.63 1971 1.417 1972 1.56 1973 1.778 1974 1.179 1975 1.429