# australia_newz035 - Lower Cass Valley - 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/4066 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz035 - Lower Cass Valley - 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: Lower Cass Valley # Location: # Country: New Zealand # Northernmost_Latitude: -43.08 # Southernmost_Latitude: -43.08 # Easternmost_Longitude: 171.72 # Westernmost_Longitude: 171.72 # Elevation: 1350 m #-------------------- # Data_Collection # Collection_Name: australia_newz035B # Earliest_Year: 1773 # 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":"3.45290829442","T2":"12.6041087645","M1":"0.0230424278194","M2":"0.59396399471"}} #-------------------- # 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 1773 1.386 1774 1.197 1775 1.088 1776 1.022 1777 1.286 1778 1.269 1779 0.974 1780 1.217 1781 1.123 1782 0.994 1783 0.931 1784 0.64 1785 0.785 1786 0.813 1787 0.875 1788 0.566 1789 0.984 1790 0.76 1791 0.547 1792 0.744 1793 0.81 1794 0.822 1795 0.861 1796 0.271 1797 0.144 1798 0.193 1799 0.755 1800 1.289 1801 0.832 1802 1.055 1803 0.979 1804 1.29 1805 1.265 1806 0.567 1807 1.303 1808 1.187 1809 1.0 1810 1.416 1811 0.941 1812 1.021 1813 1.122 1814 0.934 1815 0.809 1816 0.744 1817 0.734 1818 1.263 1819 0.901 1820 0.972 1821 1.264 1822 1.436 1823 1.181 1824 1.069 1825 0.432 1826 0.481 1827 1.076 1828 0.625 1829 0.868 1830 0.611 1831 0.776 1832 0.13 1833 0.044 1834 0.241 1835 0.191 1836 0.767 1837 1.456 1838 0.844 1839 1.264 1840 1.388 1841 1.344 1842 1.081 1843 0.702 1844 0.443 1845 0.44 1846 1.013 1847 1.233 1848 1.404 1849 1.714 1850 1.562 1851 1.279 1852 0.529 1853 0.932 1854 0.875 1855 0.943 1856 1.033 1857 0.59 1858 1.044 1859 1.185 1860 1.39 1861 1.278 1862 0.598 1863 0.279 1864 0.774 1865 1.182 1866 1.893 1867 1.325 1868 1.373 1869 1.821 1870 1.631 1871 1.51 1872 0.647 1873 0.119 1874 0.563 1875 1.307 1876 0.927 1877 1.099 1878 1.314 1879 1.462 1880 1.54 1881 1.342 1882 1.258 1883 0.471 1884 1.149 1885 1.306 1886 1.989 1887 1.039 1888 1.153 1889 0.823 1890 1.049 1891 0.955 1892 0.266 1893 0.597 1894 1.801 1895 1.754 1896 1.368 1897 1.158 1898 1.013 1899 0.854 1900 1.26 1901 1.311 1902 1.188 1903 0.827 1904 0.547 1905 0.882 1906 1.08 1907 0.509 1908 0.58 1909 1.479 1910 1.324 1911 0.753 1912 1.356 1913 1.035 1914 0.878 1915 1.589 1916 0.589 1917 0.259 1918 0.528 1919 1.174 1920 0.656 1921 1.221 1922 0.73 1923 1.164 1924 0.466 1925 1.381 1926 1.268 1927 1.052 1928 0.98 1929 1.167 1930 1.289 1931 1.231 1932 1.296 1933 1.14 1934 1.089 1935 0.804 1936 0.725 1937 1.129 1938 0.718 1939 0.956 1940 1.21 1941 0.482 1942 0.561 1943 0.745 1944 0.524 1945 0.604 1946 1.073 1947 1.17 1948 1.052 1949 0.956 1950 0.957 1951 0.781 1952 1.144 1953 1.399 1954 1.055 1955 0.986 1956 0.833 1957 0.568 1958 0.287 1959 0.558 1960 1.471 1961 1.502 1962 0.956 1963 0.444 1964 0.733 1965 1.547 1966 1.155 1967 1.26 1968 1.036 1969 1.087 1970 0.848 1971 0.63 1972 0.821 1973 0.729 1974 0.919 1975 0.246 1976 0.373 1977 1.029 1978 0.819 1979 1.115