# australia_newz045 - Entwood - 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/4051 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz045 - Entwood - 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: Entwood # Location: # Country: New Zealand # Northernmost_Latitude: -43.1 # Southernmost_Latitude: -43.1 # Easternmost_Longitude: 171.68 # Westernmost_Longitude: 171.68 # Elevation: 1250 m #-------------------- # Data_Collection # Collection_Name: australia_newz045B # Earliest_Year: 1765 # 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":"3.03283752261","T2":"11.7681221049","M1":"0.0233705684295","M2":"0.626048110902"}} #-------------------- # 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 1765 0.796 1766 1.286 1767 0.772 1768 0.826 1769 1.075 1770 1.244 1771 0.783 1772 0.893 1773 0.723 1774 0.866 1775 1.04 1776 0.794 1777 0.565 1778 0.599 1779 0.585 1780 0.574 1781 0.482 1782 0.748 1783 0.865 1784 0.561 1785 0.745 1786 0.686 1787 0.777 1788 0.476 1789 0.693 1790 0.602 1791 0.6 1792 1.014 1793 0.995 1794 0.875 1795 0.356 1796 0.147 1797 0.148 1798 0.361 1799 0.742 1800 1.224 1801 0.911 1802 0.953 1803 0.691 1804 0.919 1805 0.627 1806 0.245 1807 0.926 1808 0.903 1809 0.833 1810 1.087 1811 0.961 1812 0.925 1813 0.98 1814 0.595 1815 0.437 1816 0.494 1817 0.78 1818 1.03 1819 0.998 1820 0.819 1821 0.897 1822 0.936 1823 0.675 1824 0.368 1825 0.244 1826 0.465 1827 0.882 1828 0.566 1829 0.857 1830 0.853 1831 0.733 1832 0.009 1833 0.041 1834 0.236 1835 0.009 1836 0.009 1837 0.486 1838 0.67 1839 1.244 1840 1.479 1841 1.654 1842 1.344 1843 1.023 1844 0.198 1845 0.281 1846 1.55 1847 1.487 1848 1.439 1849 1.457 1850 1.24 1851 1.007 1852 0.752 1853 1.497 1854 1.504 1855 1.31 1856 1.39 1857 1.1 1858 1.558 1859 1.652 1860 1.878 1861 1.002 1862 0.03 1863 0.03 1864 0.236 1865 0.492 1866 1.403 1867 1.262 1868 1.371 1869 1.602 1870 1.395 1871 1.047 1872 0.197 1873 0.048 1874 0.879 1875 1.401 1876 1.672 1877 1.519 1878 1.769 1879 2.365 1880 2.154 1881 1.107 1882 0.8 1883 0.704 1884 1.914 1885 1.848 1886 1.753 1887 0.766 1888 0.648 1889 0.693 1890 1.08 1891 1.005 1892 0.107 1893 1.018 1894 1.834 1895 1.328 1896 1.398 1897 1.303 1898 1.242 1899 1.299 1900 1.358 1901 1.408 1902 1.437 1903 1.294 1904 1.199 1905 1.081 1906 1.347 1907 0.78 1908 0.248 1909 1.153 1910 1.174 1911 0.852 1912 1.57 1913 1.173 1914 0.907 1915 1.808 1916 1.112 1917 0.472 1918 0.839 1919 1.471 1920 1.226 1921 1.439 1922 1.102 1923 1.924 1924 1.035 1925 1.38 1926 1.515 1927 1.477 1928 1.08 1929 1.005 1930 1.336 1931 1.417 1932 1.384 1933 1.093 1934 1.149 1935 0.431 1936 0.101 1937 0.409 1938 0.639 1939 0.724 1940 1.058 1941 0.761 1942 0.685 1943 0.83 1944 0.457 1945 0.634 1946 1.021 1947 0.919 1948 0.753 1949 0.855 1950 1.076 1951 0.62 1952 0.612 1953 0.901 1954 0.758 1955 0.996 1956 0.761 1957 0.289 1958 0.244 1959 0.411 1960 0.763 1961 1.103 1962 0.765 1963 0.372 1964 0.686 1965 1.452 1966 1.001 1967 1.289 1968 0.783 1969 0.55 1970 0.448 1971 0.514 1972 0.755 1973 0.742 1974 0.704 1975 0.314 1976 0.401 1977 0.623 1978 0.687 1979 0.639