# australia_newz028 - Logos Hill 3 - 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/4061 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz028 - Logos Hill 3 - 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: Logos Hill 3 # Location: # Country: New Zealand # Northernmost_Latitude: -43.08 # Southernmost_Latitude: -43.08 # Easternmost_Longitude: 171.7 # Westernmost_Longitude: 171.7 # Elevation: 1200 m #-------------------- # Data_Collection # Collection_Name: australia_newz028B # Earliest_Year: 1800 # 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":"3.4992294686","T2":"11.4152040609","M1":"0.0231762695812","M2":"0.642985074789"}} #-------------------- # 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 1800 1.05 1801 0.806 1802 1.064 1803 0.99 1804 1.103 1805 0.666 1806 0.517 1807 1.183 1808 1.57 1809 0.999 1810 1.129 1811 0.754 1812 0.524 1813 0.804 1814 0.686 1815 0.498 1816 0.739 1817 0.785 1818 0.939 1819 0.655 1820 0.8 1821 0.735 1822 0.766 1823 0.839 1824 0.291 1825 0.387 1826 0.734 1827 0.926 1828 0.504 1829 0.726 1830 0.378 1831 0.341 1832 -0.028 1833 0.07 1834 0.251 1835 0.252 1836 0.2 1837 0.606 1838 0.572 1839 0.724 1840 0.819 1841 0.634 1842 0.608 1843 0.39 1844 0.079 1845 0.617 1846 0.967 1847 0.703 1848 0.727 1849 0.811 1850 0.678 1851 0.428 1852 0.24 1853 1.198 1854 1.17 1855 1.002 1856 1.094 1857 0.606 1858 0.946 1859 0.953 1860 1.188 1861 0.555 1862 -0.067 1863 -0.067 1864 0.357 1865 0.57 1866 1.265 1867 1.107 1868 1.153 1869 1.134 1870 0.905 1871 0.388 1872 -0.067 1873 -0.022 1874 0.56 1875 1.002 1876 1.518 1877 1.419 1878 1.718 1879 1.609 1880 1.423 1881 0.598 1882 0.768 1883 1.108 1884 1.827 1885 1.761 1886 1.815 1887 1.09 1888 1.172 1889 1.197 1890 1.139 1891 0.662 1892 0.275 1893 1.537 1894 1.833 1895 1.577 1896 1.672 1897 1.472 1898 1.392 1899 1.584 1900 2.047 1901 2.016 1902 1.898 1903 1.803 1904 1.451 1905 1.249 1906 1.822 1907 1.208 1908 1.058 1909 1.986 1910 1.929 1911 1.2 1912 1.914 1913 1.59 1914 1.194 1915 1.938 1916 1.285 1917 1.173 1918 1.211 1919 1.665 1920 1.479 1921 1.738 1922 1.537 1923 2.339 1924 1.606 1925 1.579 1926 1.493 1927 1.341 1928 1.152 1929 1.129 1930 1.571 1931 1.665 1932 1.689 1933 1.206 1934 1.145 1935 0.369 1936 0.071 1937 0.714 1938 0.69 1939 0.835 1940 0.911 1941 0.65 1942 0.526 1943 0.647 1944 0.455 1945 0.575 1946 0.978 1947 0.735 1948 0.693 1949 0.681 1950 0.822 1951 0.739 1952 0.57 1953 0.717 1954 0.71 1955 0.921 1956 0.703 1957 0.314 1958 0.252 1959 0.482 1960 1.073 1961 0.983 1962 0.521 1963 0.197 1964 0.366 1965 1.084 1966 1.019 1967 1.369 1968 0.862 1969 0.592 1970 0.464 1971 0.537 1972 0.749 1973 0.715 1974 0.598 1975 0.293 1976 0.214 1977 0.127 1978 0.401 1979 0.631