# australia_newz036 - Kea Flat - 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/4054 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz036 - Kea Flat - 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: Kea Flat # Location: # Country: New Zealand # Northernmost_Latitude: -43.87 # Southernmost_Latitude: -43.87 # Easternmost_Longitude: 169.78 # Westernmost_Longitude: 169.78 # Elevation: 1150 m #-------------------- # Data_Collection # Collection_Name: australia_newz036B # Earliest_Year: 1730 # Most_Recent_Year: 1980 # 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":"5.11368716785","T2":"15.4617820262","M1":"0.0224143831357","M2":"0.405561623595"}} #-------------------- # Species # Species_Name: silver beech nothofagus # Species_Code: NOME #-------------------- # 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 1730 1.215 1731 0.677 1732 1.02 1733 0.766 1734 1.507 1735 1.062 1736 1.184 1737 1.287 1738 0.987 1739 1.39 1740 1.25 1741 1.496 1742 1.656 1743 0.734 1744 0.692 1745 0.45 1746 0.626 1747 0.671 1748 0.809 1749 0.441 1750 0.709 1751 1.178 1752 1.261 1753 0.863 1754 0.99 1755 1.006 1756 1.512 1757 1.508 1758 1.195 1759 0.94 1760 1.195 1761 0.77 1762 1.007 1763 0.771 1764 0.53 1765 0.305 1766 1.319 1767 0.638 1768 1.103 1769 1.587 1770 0.835 1771 0.981 1772 0.978 1773 1.874 1774 1.217 1775 1.711 1776 1.479 1777 1.842 1778 1.261 1779 1.69 1780 1.329 1781 1.103 1782 0.936 1783 1.396 1784 0.69 1785 1.126 1786 1.083 1787 0.428 1788 0.245 1789 1.138 1790 0.894 1791 1.056 1792 1.029 1793 1.293 1794 1.016 1795 1.387 1796 1.367 1797 1.508 1798 1.031 1799 0.821 1800 0.814 1801 0.585 1802 1.23 1803 1.133 1804 1.307 1805 1.048 1806 0.409 1807 0.85 1808 1.021 1809 1.243 1810 1.402 1811 1.555 1812 1.036 1813 1.484 1814 1.577 1815 1.123 1816 1.282 1817 1.227 1818 0.776 1819 0.826 1820 0.742 1821 0.405 1822 1.346 1823 1.117 1824 1.132 1825 1.275 1826 0.729 1827 0.403 1828 0.804 1829 1.254 1830 0.749 1831 1.119 1832 0.39 1833 0.714 1834 0.668 1835 0.723 1836 0.447 1837 0.844 1838 0.369 1839 1.281 1840 1.034 1841 1.312 1842 0.8 1843 0.948 1844 0.641 1845 0.888 1846 0.983 1847 1.06 1848 0.614 1849 1.024 1850 0.917 1851 1.236 1852 1.026 1853 0.905 1854 0.761 1855 1.505 1856 1.234 1857 1.298 1858 0.935 1859 0.533 1860 1.12 1861 1.169 1862 1.286 1863 0.897 1864 1.421 1865 1.14 1866 1.591 1867 0.918 1868 0.984 1869 1.085 1870 1.542 1871 1.16 1872 0.981 1873 0.845 1874 1.289 1875 1.138 1876 1.38 1877 1.026 1878 0.807 1879 1.183 1880 0.779 1881 0.745 1882 1.659 1883 1.107 1884 1.333 1885 1.004 1886 1.437 1887 0.407 1888 0.816 1889 0.439 1890 0.838 1891 0.688 1892 0.79 1893 1.115 1894 0.89 1895 0.567 1896 0.721 1897 0.792 1898 0.818 1899 0.816 1900 0.803 1901 0.798 1902 0.747 1903 0.223 1904 0.007 1905 0.063 1906 0.705 1907 0.841 1908 0.501 1909 0.607 1910 0.369 1911 0.9 1912 1.124 1913 0.825 1914 0.936 1915 1.196 1916 0.536 1917 0.454 1918 0.526 1919 0.77 1920 0.638 1921 1.55 1922 0.84 1923 1.835 1924 0.924 1925 1.135 1926 0.878 1927 1.332 1928 0.81 1929 1.09 1930 1.024 1931 0.999 1932 0.729 1933 0.936 1934 0.797 1935 0.915 1936 0.651 1937 0.957 1938 0.81 1939 0.764 1940 1.327 1941 0.736 1942 0.922 1943 1.435 1944 1.222 1945 0.628 1946 1.109 1947 0.215 1948 0.445 1949 1.064 1950 1.368 1951 0.846 1952 1.18 1953 0.622 1954 1.412 1955 1.055 1956 0.951 1957 0.435 1958 0.506 1959 0.921 1960 0.813 1961 0.903 1962 0.81 1963 0.616 1964 0.539 1965 1.012 1966 0.595 1967 0.166 1968 0.663 1969 1.693 1970 1.505 1971 1.475 1972 1.611 1973 1.369 1974 1.111 1975 1.096 1976 0.564 1977 0.296 1978 0.628 1979 1.339 1980 1.377