# australia_newz047 - Logos Hill 4 - 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/4062 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz047 - Logos Hill 4 - 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 4 # Location: # Country: New Zealand # Northernmost_Latitude: -43.08 # Southernmost_Latitude: -43.08 # Easternmost_Longitude: 171.7 # Westernmost_Longitude: 171.7 # Elevation: 1100 m #-------------------- # Data_Collection # Collection_Name: australia_newz047B # Earliest_Year: 1820 # 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":"3.98531397723","T2":"12.036086658","M1":"0.0224640183011","M2":"0.599785932592"}} #-------------------- # 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 1820 1.077 1821 1.006 1822 1.038 1823 0.779 1824 0.266 1825 0.762 1826 1.002 1827 1.199 1828 0.848 1829 0.984 1830 0.869 1831 0.712 1832 0.056 1833 0.389 1834 0.581 1835 0.526 1836 0.953 1837 1.146 1838 0.767 1839 1.097 1840 1.234 1841 1.09 1842 0.929 1843 0.576 1844 0.23 1845 0.832 1846 1.456 1847 1.285 1848 1.132 1849 1.205 1850 1.115 1851 0.834 1852 0.539 1853 1.14 1854 1.138 1855 0.908 1856 0.921 1857 0.776 1858 1.191 1859 1.157 1860 1.408 1861 0.81 1862 0.115 1863 0.525 1864 0.977 1865 0.963 1866 1.181 1867 1.129 1868 1.096 1869 1.172 1870 0.963 1871 0.737 1872 0.204 1873 0.348 1874 1.23 1875 1.478 1876 1.082 1877 0.725 1878 0.997 1879 1.064 1880 1.309 1881 0.439 1882 0.574 1883 0.78 1884 1.281 1885 1.108 1886 1.128 1887 0.807 1888 0.984 1889 1.025 1890 0.981 1891 0.439 1892 0.216 1893 1.634 1894 1.819 1895 1.848 1896 1.891 1897 1.548 1898 1.604 1899 1.534 1900 1.797 1901 1.929 1902 1.724 1903 1.426 1904 1.204 1905 1.134 1906 1.333 1907 0.812 1908 0.833 1909 1.226 1910 1.855 1911 1.251 1912 1.788 1913 1.387 1914 1.054 1915 1.546 1916 0.985 1917 1.104 1918 0.937 1919 1.213 1920 1.065 1921 1.345 1922 1.098 1923 1.717 1924 0.995 1925 1.262 1926 1.036 1927 0.872 1928 0.959 1929 0.923 1930 1.279 1931 1.211 1932 1.27 1933 0.921 1934 0.855 1935 0.554 1936 0.228 1937 0.711 1938 0.468 1939 0.735 1940 0.949 1941 0.755 1942 0.516 1943 0.406 1944 0.144 1945 0.463 1946 0.987 1947 1.075 1948 1.033 1949 1.017 1950 0.881 1951 0.713 1952 0.627 1953 0.577 1954 0.534 1955 0.848 1956 0.788 1957 0.834 1958 0.628 1959 0.747 1960 0.86 1961 0.913 1962 0.566 1963 0.373 1964 0.714 1965 1.22 1966 1.003 1967 1.013 1968 0.697 1969 0.647 1970 0.526 1971 0.519 1972 0.819 1973 0.69 1974 0.81 1975 0.626 1976 0.843 1977 0.999 1978 0.784 1979 0.873