# australia_newz044 - Camp Stream - 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/4047 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz044 - Camp Stream - 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: Camp Stream # Location: # Country: New Zealand # Northernmost_Latitude: -43.13 # Southernmost_Latitude: -43.13 # Easternmost_Longitude: 171.7 # Westernmost_Longitude: 171.7 # Elevation: 1350 m #-------------------- # Data_Collection # Collection_Name: australia_newz044B # Earliest_Year: 1777 # 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":"3.27676704216","T2":"12.7620184265","M1":"0.0232186227115","M2":"0.618221491093"}} #-------------------- # 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 1777 1.287 1778 1.296 1779 1.101 1780 1.261 1781 1.197 1782 1.138 1783 1.487 1784 1.215 1785 1.048 1786 1.52 1787 1.174 1788 0.897 1789 1.014 1790 0.735 1791 0.804 1792 0.924 1793 1.168 1794 1.269 1795 0.995 1796 0.237 1797 0.334 1798 0.623 1799 1.117 1800 1.299 1801 0.861 1802 0.976 1803 0.947 1804 1.117 1805 1.071 1806 0.465 1807 0.785 1808 1.327 1809 1.079 1810 1.407 1811 1.034 1812 1.171 1813 1.222 1814 1.009 1815 0.624 1816 0.863 1817 1.02 1818 1.298 1819 0.991 1820 0.913 1821 1.069 1822 1.346 1823 1.229 1824 1.204 1825 0.785 1826 0.663 1827 1.066 1828 0.594 1829 1.169 1830 1.055 1831 1.086 1832 0.281 1833 0.173 1834 0.311 1835 0.001 1836 0.279 1837 1.158 1838 0.577 1839 1.165 1840 1.518 1841 1.505 1842 1.154 1843 0.981 1844 0.497 1845 0.325 1846 1.1 1847 0.85 1848 1.171 1849 1.302 1850 1.246 1851 0.988 1852 0.75 1853 1.385 1854 1.093 1855 0.915 1856 1.08 1857 0.718 1858 1.086 1859 1.036 1860 1.165 1861 1.059 1862 0.346 1863 0.421 1864 1.42 1865 1.305 1866 1.429 1867 1.072 1868 1.077 1869 1.467 1870 1.252 1871 1.504 1872 0.87 1873 0.481 1874 0.963 1875 1.535 1876 1.447 1877 1.094 1878 0.93 1879 0.975 1880 1.457 1881 0.802 1882 0.884 1883 0.472 1884 0.884 1885 1.083 1886 1.437 1887 0.544 1888 0.47 1889 0.78 1890 0.854 1891 0.839 1892 0.588 1893 1.097 1894 1.404 1895 1.363 1896 1.335 1897 1.315 1898 1.063 1899 1.017 1900 0.987 1901 1.008 1902 1.014 1903 0.85 1904 0.436 1905 0.527 1906 0.759 1907 0.759 1908 0.531 1909 1.157 1910 0.943 1911 0.698 1912 1.151 1913 0.91 1914 0.734 1915 1.261 1916 0.998 1917 0.617 1918 0.985 1919 1.334 1920 0.984 1921 1.426 1922 1.32 1923 2.26 1924 1.037 1925 1.229 1926 1.188 1927 1.213 1928 1.142 1929 0.962 1930 1.099 1931 1.075 1932 1.216 1933 0.982 1934 1.242 1935 0.421 1936 0.478 1937 1.322 1938 0.506 1939 0.687 1940 1.086 1941 0.609 1942 0.509 1943 0.876 1944 0.746 1945 1.094 1946 1.118 1947 1.229 1948 1.275 1949 1.285 1950 1.229 1951 0.963 1952 0.865 1953 1.315 1954 0.85 1955 1.273 1956 0.931 1957 0.59 1958 0.643 1959 0.747 1960 0.852 1961 1.244 1962 0.994 1963 0.602 1964 0.778 1965 0.975 1966 0.752 1967 0.965 1968 1.027 1969 1.465 1970 1.093 1971 0.571 1972 0.942 1973 0.98 1974 0.946 1975 0.279 1976 0.388 1977 0.912 1978 1.08 1979 1.204