# australia_newz017 - Pegleg 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/3143 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz017 - Pegleg 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: Pegleg Creek # Location: # Country: New Zealand # Northernmost_Latitude: -42.9 # Southernmost_Latitude: -42.9 # Easternmost_Longitude: 171.57 # Westernmost_Longitude: 171.57 # Elevation: 915 m #-------------------- # Data_Collection # Collection_Name: australia_newz017B # Earliest_Year: 1806 # Most_Recent_Year: 1976 # 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":"4.45411762715","T2":"16.8579868917","M1":"0.0219019805128","M2":"0.403523144964"}} #-------------------- # Species # Species_Name: mountain toatoa celery pine celery pine # Species_Code: PHAL #-------------------- # 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 1806 0.984 1807 0.74 1808 1.067 1809 1.102 1810 1.306 1811 1.148 1812 1.531 1813 1.2 1814 1.156 1815 1.159 1816 0.937 1817 1.011 1818 0.931 1819 1.103 1820 1.008 1821 1.177 1822 0.889 1823 0.878 1824 0.861 1825 0.915 1826 0.648 1827 0.778 1828 0.78 1829 0.823 1830 1.057 1831 1.028 1832 0.73 1833 0.705 1834 0.717 1835 0.84 1836 0.876 1837 0.955 1838 0.938 1839 0.912 1840 1.063 1841 1.162 1842 0.984 1843 0.911 1844 0.829 1845 1.067 1846 0.853 1847 1.011 1848 0.798 1849 0.608 1850 0.783 1851 0.821 1852 0.637 1853 0.731 1854 0.942 1855 0.965 1856 0.647 1857 0.744 1858 0.756 1859 0.947 1860 1.003 1861 1.028 1862 0.804 1863 0.881 1864 0.937 1865 0.817 1866 0.894 1867 0.867 1868 0.893 1869 0.935 1870 1.135 1871 1.07 1872 0.976 1873 1.3 1874 1.085 1875 1.189 1876 1.095 1877 1.129 1878 0.923 1879 1.51 1880 1.225 1881 1.208 1882 1.036 1883 1.069 1884 1.006 1885 1.197 1886 1.179 1887 1.156 1888 0.927 1889 0.901 1890 0.984 1891 0.847 1892 1.272 1893 1.256 1894 1.473 1895 0.986 1896 1.378 1897 1.116 1898 1.253 1899 1.119 1900 1.282 1901 1.113 1902 1.208 1903 1.045 1904 1.16 1905 0.917 1906 1.009 1907 1.078 1908 1.055 1909 1.012 1910 1.122 1911 0.933 1912 0.939 1913 1.279 1914 0.84 1915 0.937 1916 1.258 1917 1.139 1918 0.814 1919 0.914 1920 0.978 1921 0.961 1922 0.983 1923 0.962 1924 1.056 1925 0.787 1926 0.982 1927 1.229 1928 0.837 1929 0.696 1930 0.715 1931 0.865 1932 1.112 1933 1.054 1934 1.091 1935 1.197 1936 0.984 1937 1.043 1938 1.072 1939 0.868 1940 0.901 1941 0.695 1942 0.709 1943 0.822 1944 0.819 1945 0.619 1946 0.671 1947 0.817 1948 0.891 1949 0.791 1950 1.207 1951 0.948 1952 1.127 1953 1.141 1954 1.116 1955 1.09 1956 1.144 1957 0.733 1958 0.943 1959 0.808 1960 1.059 1961 0.906 1962 1.029 1963 0.844 1964 0.96 1965 0.929 1966 0.932 1967 0.851 1968 0.763 1969 0.852 1970 0.987 1971 0.927 1972 0.938 1973 1.23 1974 1.147 1975 0.976 1976 1.117