# australia_newz041 - Aston 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/4046 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz041 - Aston 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: Aston Creek # Location: # Country: New Zealand # Northernmost_Latitude: -43.13 # Southernmost_Latitude: -43.13 # Easternmost_Longitude: 171.65 # Westernmost_Longitude: 171.65 # Elevation: 1300 m #-------------------- # Data_Collection # Collection_Name: australia_newz041B # Earliest_Year: 1760 # Most_Recent_Year: 1979 # 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":"3.43720320909","T2":"11.9955681524","M1":"0.0230142101972","M2":"0.630733455696"}} #-------------------- # Species # Species_Name: mountain beech nothofagus # Species_Code: NOSO #-------------------- # 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 1760 1.278 1761 1.59 1762 1.482 1763 0.926 1764 1.17 1765 0.906 1766 1.495 1767 0.818 1768 0.615 1769 0.724 1770 1.207 1771 1.246 1772 1.284 1773 1.143 1774 1.057 1775 1.182 1776 0.887 1777 0.787 1778 0.906 1779 0.424 1780 0.639 1781 0.793 1782 0.857 1783 0.806 1784 0.753 1785 0.668 1786 0.639 1787 0.733 1788 0.636 1789 0.68 1790 0.582 1791 0.77 1792 1.082 1793 1.191 1794 1.119 1795 0.828 1796 0.043 1797 -0.043 1798 0.663 1799 0.778 1800 1.167 1801 0.875 1802 0.855 1803 0.769 1804 0.78 1805 0.603 1806 0.271 1807 0.591 1808 0.779 1809 0.585 1810 0.981 1811 0.593 1812 0.642 1813 0.739 1814 0.657 1815 0.47 1816 0.614 1817 0.614 1818 0.803 1819 0.562 1820 0.731 1821 0.603 1822 0.675 1823 0.694 1824 0.698 1825 0.746 1826 0.383 1827 0.667 1828 0.345 1829 0.453 1830 0.458 1831 0.539 1832 -0.042 1833 -0.043 1834 0.068 1835 -0.043 1836 -0.043 1837 0.083 1838 0.285 1839 0.707 1840 1.248 1841 1.809 1842 1.552 1843 1.284 1844 0.609 1845 0.108 1846 1.372 1847 1.691 1848 1.986 1849 1.781 1850 1.739 1851 1.165 1852 0.915 1853 2.167 1854 1.736 1855 1.724 1856 1.541 1857 1.161 1858 2.082 1859 1.637 1860 1.952 1861 1.561 1862 0.351 1863 0.121 1864 2.002 1865 1.809 1866 1.944 1867 1.471 1868 1.578 1869 1.895 1870 1.75 1871 1.686 1872 1.052 1873 0.751 1874 1.488 1875 1.778 1876 1.727 1877 1.245 1878 1.657 1879 1.977 1880 1.732 1881 1.082 1882 1.182 1883 0.769 1884 1.932 1885 1.212 1886 1.238 1887 0.549 1888 0.677 1889 0.51 1890 1.013 1891 1.263 1892 0.736 1893 1.437 1894 1.4 1895 1.244 1896 0.956 1897 1.191 1898 1.385 1899 0.891 1900 0.75 1901 1.138 1902 1.443 1903 1.203 1904 0.773 1905 0.444 1906 0.803 1907 0.258 1908 0.186 1909 1.588 1910 1.15 1911 0.719 1912 1.309 1913 0.815 1914 0.487 1915 1.376 1916 0.595 1917 0.197 1918 0.429 1919 0.947 1920 0.656 1921 1.105 1922 1.054 1923 2.012 1924 0.818 1925 1.188 1926 1.234 1927 0.801 1928 0.728 1929 0.845 1930 1.009 1931 0.954 1932 1.365 1933 1.02 1934 0.682 1935 0.489 1936 0.269 1937 0.472 1938 0.358 1939 0.597 1940 1.147 1941 0.787 1942 0.678 1943 0.904 1944 0.812 1945 0.668 1946 0.733 1947 0.823 1948 0.899 1949 1.016 1950 1.096 1951 0.971 1952 1.063 1953 1.58 1954 0.565 1955 0.636 1956 0.486 1957 0.384 1958 0.43 1959 0.646 1960 1.005 1961 1.056 1962 0.706 1963 0.339 1964 0.5 1965 0.918 1966 0.95 1967 1.648 1968 0.814 1969 0.553 1970 0.314 1971 0.345 1972 0.863 1973 0.762 1974 0.868 1975 0.297 1976 0.628 1977 0.866 1978 0.383 1979 0.892