# australia_newz078 - Onekura Bluff, Puketi Forest - 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/8489 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz078 - Onekura Bluff, Puketi Forest - 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: Onekura Bluff, Puketi Forest # Location: # Country: New Zealand # Northernmost_Latitude: -35.18 # Southernmost_Latitude: -35.18 # Easternmost_Longitude: 173.75 # Westernmost_Longitude: 173.75 # Elevation: 305 m #-------------------- # Data_Collection # Collection_Name: australia_newz078B # Earliest_Year: 1830 # 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":"3.30940288388","T2":"10.3177234413","M1":"0.0225388122737","M2":"0.580230002314"}} #-------------------- # 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 1830 0.675 1831 0.995 1832 0.952 1833 0.9 1834 0.842 1835 1.216 1836 1.096 1837 1.187 1838 1.495 1839 0.389 1840 1.115 1841 0.961 1842 0.957 1843 0.961 1844 1.005 1845 0.921 1846 0.51 1847 0.811 1848 0.686 1849 0.874 1850 1.085 1851 1.465 1852 1.264 1853 1.616 1854 1.27 1855 0.7 1856 1.229 1857 1.075 1858 0.978 1859 1.064 1860 0.65 1861 0.983 1862 1.252 1863 0.676 1864 1.183 1865 0.945 1866 0.68 1867 0.682 1868 0.948 1869 0.986 1870 0.559 1871 1.196 1872 1.371 1873 1.36 1874 1.274 1875 0.958 1876 1.297 1877 1.018 1878 0.812 1879 0.772 1880 0.938 1881 0.872 1882 0.914 1883 0.724 1884 1.403 1885 0.865 1886 1.046 1887 0.816 1888 0.938 1889 0.863 1890 0.432 1891 1.274 1892 0.632 1893 0.999 1894 1.128 1895 1.2 1896 1.037 1897 1.095 1898 0.836 1899 0.871 1900 0.677 1901 1.054 1902 0.97 1903 0.704 1904 1.361 1905 1.543 1906 0.698 1907 0.603 1908 0.939 1909 0.507 1910 0.884 1911 1.217 1912 0.921 1913 1.263 1914 0.747 1915 0.187 1916 0.339 1917 1.013 1918 1.782 1919 1.828 1920 0.991 1921 1.303 1922 0.869 1923 0.858 1924 1.29 1925 0.758 1926 1.078 1927 1.177 1928 0.655 1929 0.782 1930 1.16 1931 1.442 1932 0.917 1933 1.093 1934 0.727 1935 0.79 1936 1.683 1937 1.127 1938 0.727 1939 1.443 1940 2.232 1941 1.261 1942 1.061 1943 0.737 1944 1.311 1945 0.573 1946 0.255 1947 0.682 1948 0.825 1949 0.757 1950 0.658 1951 1.443 1952 1.106 1953 0.859 1954 1.19 1955 0.622 1956 0.512 1957 1.294 1958 0.858 1959 1.461 1960 1.001 1961 1.055 1962 0.784 1963 1.42 1964 0.741 1965 1.029 1966 0.521 1967 0.576 1968 0.491 1969 0.574 1970 0.426 1971 0.568 1972 0.897 1973 0.496 1974 0.488 1975 0.596 1976 1.754 1977 1.526 1978 1.115 1979 0.962 1980 1.018 1981 1.169