# australia_newz091 - Katikati - 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/8485 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz091 - Katikati - 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: Katikati # Location: # Country: New Zealand # Northernmost_Latitude: -37.6 # Southernmost_Latitude: -37.6 # Easternmost_Longitude: 175.87 # Westernmost_Longitude: 175.87 # Elevation: 350 m #-------------------- # Data_Collection # Collection_Name: australia_newz091B # Earliest_Year: 1808 # Most_Recent_Year: 1996 # 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":"4.4180675314","T2":"11.2881704508","M1":"0.0226140350614","M2":"0.489311327739"}} #-------------------- # 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 1808 0.521 1809 0.888 1810 0.623 1811 0.867 1812 0.875 1813 0.752 1814 0.614 1815 0.829 1816 0.85 1817 0.384 1818 0.681 1819 0.459 1820 0.78 1821 0.731 1822 1.156 1823 0.85 1824 0.98 1825 0.624 1826 0.52 1827 0.988 1828 0.656 1829 0.549 1830 0.409 1831 0.823 1832 0.667 1833 0.992 1834 0.557 1835 0.999 1836 0.649 1837 1.0 1838 0.938 1839 0.242 1840 0.938 1841 1.077 1842 1.129 1843 1.121 1844 0.774 1845 1.198 1846 0.523 1847 0.702 1848 0.864 1849 0.448 1850 0.962 1851 0.965 1852 1.094 1853 0.95 1854 1.088 1855 1.038 1856 0.968 1857 1.191 1858 0.734 1859 0.995 1860 0.378 1861 1.044 1862 1.412 1863 1.292 1864 1.152 1865 0.795 1866 0.7 1867 1.015 1868 1.273 1869 0.79 1870 1.228 1871 1.33 1872 1.41 1873 1.519 1874 1.777 1875 1.25 1876 1.487 1877 1.603 1878 0.836 1879 0.965 1880 1.08 1881 1.208 1882 0.898 1883 1.244 1884 1.254 1885 1.314 1886 0.786 1887 1.145 1888 0.995 1889 0.93 1890 0.778 1891 1.267 1892 0.588 1893 1.214 1894 1.032 1895 1.289 1896 1.515 1897 1.622 1898 1.637 1899 1.206 1900 1.117 1901 1.178 1902 1.353 1903 0.502 1904 1.285 1905 1.342 1906 0.826 1907 0.654 1908 1.033 1909 0.829 1910 1.197 1911 1.214 1912 1.127 1913 1.523 1914 1.338 1915 0.695 1916 0.324 1917 0.97 1918 1.146 1919 1.732 1920 1.155 1921 1.299 1922 1.024 1923 1.098 1924 0.754 1925 1.33 1926 0.829 1927 1.255 1928 0.714 1929 1.135 1930 1.14 1931 1.233 1932 0.86 1933 0.897 1934 0.722 1935 0.462 1936 0.926 1937 0.572 1938 0.949 1939 0.974 1940 1.168 1941 0.728 1942 0.959 1943 0.872 1944 1.084 1945 1.037 1946 0.647 1947 1.233 1948 0.872 1949 1.327 1950 0.924 1951 1.136 1952 0.797 1953 0.692 1954 0.911 1955 0.932 1956 0.889 1957 1.2 1958 0.541 1959 0.984 1960 0.546 1961 0.943 1962 0.642 1963 1.527 1964 0.944 1965 0.907 1966 0.473 1967 0.79 1968 0.532 1969 0.662 1970 0.385 1971 0.821 1972 0.625 1973 0.756 1974 0.839 1975 0.849 1976 1.145 1977 1.031 1978 0.91 1979 0.861 1980 0.789 1981 0.91 1982 1.307 1983 1.044 1984 1.019 1985 0.776 1986 1.279 1987 0.871 1988 0.72 1989 0.735 1990 1.06 1991 1.288 1992 1.412 1993 1.125 1994 1.005 1995 0.415 1996 0.804