# australia_newz086 - Little Barrier Island - 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/8486 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz086 - Little Barrier Island - 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: Little Barrier Island # Location: # Country: New Zealand # Northernmost_Latitude: -36.2 # Southernmost_Latitude: -36.2 # Easternmost_Longitude: 175.13 # Westernmost_Longitude: 175.13 # Elevation: 274 m #-------------------- # Data_Collection # Collection_Name: australia_newz086B # Earliest_Year: 1820 # Most_Recent_Year: 1981 # 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":"3.59797188061","T2":"12.4340151275","M1":"0.0225570224032","M2":"0.591925388362"}} #-------------------- # Species # Species_Name: kauri pine # Species_Code: AGAU #-------------------- # 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 1820 0.782 1821 1.061 1822 1.116 1823 0.883 1824 0.845 1825 0.866 1826 1.061 1827 0.942 1828 0.945 1829 1.107 1830 0.953 1831 1.226 1832 1.136 1833 1.241 1834 0.953 1835 0.901 1836 0.725 1837 0.909 1838 0.999 1839 0.635 1840 1.204 1841 0.989 1842 0.856 1843 0.88 1844 0.846 1845 0.996 1846 0.467 1847 0.592 1848 0.579 1849 0.668 1850 0.584 1851 0.846 1852 1.011 1853 1.209 1854 0.796 1855 0.922 1856 0.855 1857 0.722 1858 0.817 1859 0.568 1860 0.727 1861 0.61 1862 1.028 1863 0.772 1864 1.131 1865 1.129 1866 0.942 1867 1.266 1868 1.399 1869 1.256 1870 1.294 1871 1.048 1872 1.389 1873 1.47 1874 1.273 1875 0.822 1876 1.348 1877 1.072 1878 0.551 1879 1.291 1880 1.082 1881 1.427 1882 1.238 1883 1.239 1884 1.406 1885 1.254 1886 0.969 1887 0.724 1888 0.947 1889 0.664 1890 0.755 1891 1.096 1892 1.143 1893 1.623 1894 1.389 1895 1.307 1896 1.061 1897 0.958 1898 0.924 1899 0.903 1900 0.811 1901 0.936 1902 1.185 1903 0.881 1904 1.253 1905 1.14 1906 0.791 1907 0.644 1908 0.635 1909 0.864 1910 0.753 1911 1.083 1912 0.643 1913 1.16 1914 0.834 1915 0.506 1916 0.307 1917 1.109 1918 1.308 1919 1.438 1920 1.226 1921 0.866 1922 0.81 1923 0.502 1924 0.936 1925 0.655 1926 0.756 1927 0.839 1928 0.662 1929 0.795 1930 0.8 1931 0.808 1932 0.745 1933 0.924 1934 0.596 1935 0.79 1936 1.492 1937 1.349 1938 1.506 1939 1.241 1940 1.943 1941 1.428 1942 1.083 1943 0.707 1944 1.138 1945 0.826 1946 0.608 1947 0.9 1948 0.672 1949 1.131 1950 0.408 1951 1.129 1952 1.185 1953 0.972 1954 0.903 1955 0.909 1956 0.61 1957 1.008 1958 0.863 1959 1.045 1960 0.762 1961 1.422 1962 1.018 1963 1.559 1964 1.4 1965 1.266 1966 0.942 1967 0.944 1968 0.545 1969 0.833 1970 0.348 1971 0.644 1972 0.715 1973 0.587 1974 0.724 1975 0.82 1976 1.06 1977 1.333 1978 1.222 1979 1.043 1980 0.874 1981 0.772