# australia_newz037 - Hidden 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/4053 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz037 - Hidden 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: Hidden Creek # Location: # Country: New Zealand # Northernmost_Latitude: -43.13 # Southernmost_Latitude: -43.13 # Easternmost_Longitude: 171.6 # Westernmost_Longitude: 171.6 # Elevation: 1350 m #-------------------- # Data_Collection # Collection_Name: australia_newz037B # Earliest_Year: 1790 # 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":"3.512265263","T2":"12.519348751","M1":"0.0232522690592","M2":"0.628546559841"}} #-------------------- # 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 1790 0.767 1791 0.944 1792 1.44 1793 1.543 1794 1.078 1795 0.325 1796 0.064 1797 0.984 1798 1.27 1799 1.297 1800 1.026 1801 0.816 1802 0.819 1803 0.59 1804 0.717 1805 0.447 1806 0.119 1807 0.659 1808 0.801 1809 1.002 1810 1.187 1811 0.522 1812 0.691 1813 0.817 1814 0.753 1815 0.248 1816 0.275 1817 0.611 1818 0.935 1819 0.653 1820 0.564 1821 0.58 1822 0.97 1823 0.964 1824 0.813 1825 0.64 1826 0.791 1827 1.125 1828 0.573 1829 1.042 1830 0.633 1831 0.594 1832 0.032 1833 -0.036 1834 0.18 1835 -0.036 1836 0.133 1837 1.002 1838 0.683 1839 1.398 1840 1.896 1841 1.912 1842 1.351 1843 1.369 1844 0.495 1845 0.528 1846 1.51 1847 1.338 1848 1.402 1849 1.331 1850 1.229 1851 1.076 1852 0.829 1853 1.691 1854 1.223 1855 1.09 1856 1.236 1857 0.807 1858 1.264 1859 1.205 1860 1.234 1861 1.0 1862 0.166 1863 0.273 1864 1.101 1865 1.334 1866 1.367 1867 1.001 1868 1.074 1869 1.266 1870 1.059 1871 0.842 1872 0.305 1873 0.189 1874 0.945 1875 1.165 1876 1.121 1877 1.084 1878 1.537 1879 1.35 1880 1.294 1881 0.683 1882 0.892 1883 0.816 1884 1.446 1885 1.079 1886 1.34 1887 0.987 1888 1.051 1889 0.968 1890 0.8 1891 1.048 1892 1.209 1893 1.607 1894 1.773 1895 1.721 1896 1.068 1897 1.269 1898 1.301 1899 1.329 1900 1.035 1901 1.256 1902 1.215 1903 1.254 1904 1.077 1905 0.866 1906 1.067 1907 0.547 1908 0.04 1909 1.46 1910 1.061 1911 0.6 1912 1.15 1913 0.857 1914 0.682 1915 1.317 1916 0.848 1917 0.513 1918 0.64 1919 1.066 1920 1.023 1921 1.505 1922 1.374 1923 2.163 1924 1.226 1925 1.416 1926 1.351 1927 1.264 1928 1.007 1929 1.078 1930 1.344 1931 1.421 1932 1.571 1933 1.141 1934 1.241 1935 0.731 1936 0.49 1937 1.188 1938 0.582 1939 0.847 1940 0.958 1941 0.735 1942 0.82 1943 0.887 1944 0.819 1945 0.919 1946 0.982 1947 1.103 1948 1.014 1949 0.965 1950 1.064 1951 0.952 1952 0.805 1953 1.143 1954 0.928 1955 1.045 1956 0.912 1957 0.8 1958 0.638 1959 0.721 1960 0.798 1961 0.927 1962 0.57 1963 0.492 1964 0.957 1965 1.06 1966 1.025 1967 1.323 1968 0.617 1969 0.713 1970 0.576 1971 0.555 1972 0.894 1973 0.642 1974 0.638 1975 0.351 1976 0.621 1977 0.855 1978 0.653 1979 0.704