# australia_newz023 - Mirkwood - 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/4067 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz023 - Mirkwood - 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: Mirkwood # Location: # Country: New Zealand # Northernmost_Latitude: -43.05 # Southernmost_Latitude: -43.05 # Easternmost_Longitude: 171.68 # Westernmost_Longitude: 171.68 # Elevation: 1275 m #-------------------- # Data_Collection # Collection_Name: australia_newz023B # Earliest_Year: 1776 # 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":"3.35328638419","T2":"11.9064991632","M1":"0.0237438680702","M2":"0.632041357608"}} #-------------------- # 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 1776 1.216 1777 1.247 1778 1.233 1779 0.78 1780 0.999 1781 0.909 1782 0.75 1783 0.938 1784 0.973 1785 0.889 1786 0.953 1787 0.742 1788 0.479 1789 0.862 1790 0.815 1791 0.721 1792 0.914 1793 1.12 1794 1.15 1795 0.75 1796 -0.009 1797 0.096 1798 0.49 1799 0.693 1800 1.05 1801 0.73 1802 0.587 1803 0.812 1804 1.089 1805 0.952 1806 0.641 1807 1.051 1808 0.758 1809 0.492 1810 0.781 1811 0.86 1812 1.086 1813 0.974 1814 0.921 1815 0.712 1816 0.75 1817 0.706 1818 0.987 1819 0.713 1820 0.811 1821 0.92 1822 1.021 1823 0.581 1824 0.402 1825 0.445 1826 0.415 1827 0.742 1828 0.298 1829 0.543 1830 0.633 1831 0.831 1832 0.171 1833 0.027 1834 0.233 1835 0.029 1836 0.113 1837 0.63 1838 0.644 1839 1.193 1840 1.194 1841 1.313 1842 0.981 1843 0.64 1844 0.548 1845 0.927 1846 1.267 1847 1.29 1848 1.485 1849 1.59 1850 1.578 1851 1.059 1852 0.233 1853 0.327 1854 1.23 1855 1.639 1856 1.277 1857 0.86 1858 1.275 1859 1.452 1860 1.874 1861 1.243 1862 -0.026 1863 0.05 1864 1.126 1865 0.945 1866 1.375 1867 1.058 1868 1.007 1869 1.299 1870 1.225 1871 0.83 1872 0.114 1873 -0.026 1874 0.394 1875 0.888 1876 1.017 1877 0.835 1878 1.003 1879 1.333 1880 1.336 1881 0.602 1882 0.574 1883 0.691 1884 1.551 1885 1.551 1886 1.531 1887 1.028 1888 1.127 1889 1.024 1890 1.277 1891 1.057 1892 0.802 1893 1.56 1894 1.553 1895 1.577 1896 1.63 1897 1.516 1898 1.474 1899 1.373 1900 1.369 1901 1.333 1902 1.205 1903 1.201 1904 0.715 1905 0.825 1906 1.335 1907 0.764 1908 0.767 1909 1.478 1910 1.529 1911 0.984 1912 1.711 1913 1.436 1914 1.24 1915 1.716 1916 0.757 1917 0.172 1918 0.647 1919 1.411 1920 0.976 1921 1.363 1922 1.016 1923 1.866 1924 1.013 1925 1.231 1926 1.189 1927 1.27 1928 0.976 1929 1.22 1930 1.546 1931 1.417 1932 1.427 1933 1.167 1934 1.107 1935 0.487 1936 0.226 1937 0.713 1938 0.366 1939 0.769 1940 1.342 1941 0.835 1942 0.607 1943 0.805 1944 0.819 1945 0.987 1946 0.96 1947 0.968 1948 0.99 1949 1.025 1950 1.147 1951 0.974 1952 1.157 1953 1.246 1954 0.72 1955 0.868 1956 0.841 1957 0.764 1958 0.799 1959 0.742 1960 0.879 1961 1.082 1962 0.899 1963 0.697 1964 0.962 1965 1.108 1966 0.744 1967 0.6 1968 0.693 1969 1.018 1970 0.565 1971 0.499 1972 0.764 1973 0.766 1974 0.717 1975 0.342 1976 0.003 1977 0.355 1978 0.54 1979 0.832