# australia_newz043 - Ribbonwood Creek - 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/4069 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz043 - Ribbonwood Creek - 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: Ribbonwood Creek # Location: # Country: New Zealand # Northernmost_Latitude: -43.1 # Southernmost_Latitude: -43.1 # Easternmost_Longitude: 171.73 # Westernmost_Longitude: 171.73 # Elevation: 1350 m #-------------------- # Data_Collection # Collection_Name: australia_newz043B # 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":"3.63472179776","T2":"12.2892634959","M1":"0.0225130665965","M2":"0.611799384481"}} #-------------------- # 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 1.103 1801 0.824 1802 0.915 1803 1.192 1804 1.309 1805 1.237 1806 0.73 1807 1.249 1808 1.488 1809 0.997 1810 1.31 1811 1.173 1812 1.477 1813 1.28 1814 1.063 1815 0.815 1816 1.055 1817 1.291 1818 1.403 1819 1.02 1820 1.085 1821 1.146 1822 1.364 1823 1.159 1824 0.897 1825 0.6 1826 0.81 1827 1.109 1828 0.751 1829 1.107 1830 1.194 1831 1.114 1832 0.346 1833 0.257 1834 0.609 1835 -0.011 1836 0.161 1837 0.768 1838 0.443 1839 1.13 1840 1.352 1841 1.338 1842 1.064 1843 0.941 1844 0.555 1845 0.82 1846 1.348 1847 1.022 1848 1.079 1849 1.252 1850 1.149 1851 0.754 1852 0.381 1853 0.7 1854 0.896 1855 0.865 1856 1.107 1857 0.815 1858 1.103 1859 1.106 1860 1.2 1861 0.887 1862 0.118 1863 0.189 1864 0.928 1865 1.002 1866 1.067 1867 0.743 1868 0.864 1869 0.942 1870 0.868 1871 1.027 1872 0.511 1873 0.779 1874 1.28 1875 1.404 1876 1.273 1877 1.044 1878 1.253 1879 1.32 1880 1.39 1881 0.776 1882 0.396 1883 0.205 1884 0.632 1885 1.074 1886 1.397 1887 0.513 1888 0.327 1889 0.511 1890 1.214 1891 1.232 1892 0.779 1893 1.019 1894 1.26 1895 1.267 1896 1.571 1897 1.408 1898 1.448 1899 1.443 1900 1.504 1901 1.619 1902 1.329 1903 1.092 1904 0.812 1905 0.629 1906 1.311 1907 0.89 1908 0.603 1909 1.389 1910 1.416 1911 0.957 1912 1.818 1913 1.32 1914 0.848 1915 1.634 1916 1.085 1917 1.002 1918 1.138 1919 1.141 1920 0.817 1921 1.389 1922 1.129 1923 1.916 1924 0.973 1925 1.07 1926 1.18 1927 1.253 1928 1.086 1929 0.994 1930 1.229 1931 1.258 1932 1.273 1933 0.923 1934 1.288 1935 0.382 1936 0.304 1937 1.127 1938 0.5 1939 0.553 1940 1.063 1941 0.599 1942 0.664 1943 0.986 1944 0.66 1945 0.657 1946 0.852 1947 0.915 1948 0.965 1949 0.948 1950 0.967 1951 0.621 1952 0.998 1953 1.286 1954 0.528 1955 0.815 1956 0.742 1957 0.613 1958 0.723 1959 0.682 1960 0.951 1961 1.232 1962 1.05 1963 0.753 1964 1.092 1965 1.419 1966 1.147 1967 1.805 1968 0.869 1969 0.981 1970 0.932 1971 0.679 1972 1.057 1973 0.822 1974 0.89 1975 0.3 1976 0.581 1977 0.929 1978 1.067 1979 1.059