# australia_newz026 - Logos Hill 6 - 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/4064 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz026 - Logos Hill 6 - 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 6 # Location: # Country: New Zealand # Northernmost_Latitude: -43.08 # Southernmost_Latitude: -43.08 # Easternmost_Longitude: 171.7 # Westernmost_Longitude: 171.7 # Elevation: 900 m #-------------------- # Data_Collection # Collection_Name: australia_newz026B # Earliest_Year: 1840 # 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":"2.86119660118","T2":"11.1836749003","M1":"0.0233444969067","M2":"0.640234131303"}} #-------------------- # 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 1840 1.028 1841 0.953 1842 0.87 1843 0.686 1844 0.359 1845 0.981 1846 0.842 1847 0.965 1848 1.079 1849 1.221 1850 1.311 1851 1.041 1852 0.878 1853 0.773 1854 0.931 1855 1.04 1856 0.959 1857 0.946 1858 0.953 1859 0.767 1860 1.018 1861 0.881 1862 0.694 1863 1.079 1864 0.974 1865 0.949 1866 0.967 1867 1.031 1868 1.174 1869 1.155 1870 0.714 1871 0.589 1872 0.575 1873 0.747 1874 0.967 1875 0.905 1876 0.874 1877 0.883 1878 1.061 1879 0.882 1880 0.959 1881 0.703 1882 0.597 1883 0.927 1884 1.178 1885 0.52 1886 0.714 1887 0.766 1888 0.99 1889 0.602 1890 1.015 1891 0.641 1892 0.897 1893 1.578 1894 1.19 1895 1.223 1896 0.896 1897 1.094 1898 1.445 1899 1.023 1900 1.397 1901 1.859 1902 1.422 1903 1.162 1904 1.205 1905 1.057 1906 0.965 1907 0.378 1908 0.919 1909 1.596 1910 1.583 1911 1.256 1912 1.182 1913 0.994 1914 1.211 1915 1.228 1916 0.921 1917 1.263 1918 1.105 1919 1.122 1920 0.992 1921 1.026 1922 1.176 1923 1.425 1924 0.99 1925 1.46 1926 0.933 1927 0.764 1928 0.99 1929 1.101 1930 1.495 1931 1.135 1932 1.005 1933 0.993 1934 0.582 1935 0.392 1936 0.297 1937 0.867 1938 0.89 1939 1.13 1940 1.07 1941 1.012 1942 0.98 1943 0.372 1944 0.384 1945 1.04 1946 1.175 1947 0.944 1948 1.196 1949 1.058 1950 0.93 1951 0.89 1952 0.831 1953 0.543 1954 0.597 1955 0.51 1956 0.782 1957 1.071 1958 0.743 1959 0.751 1960 0.825 1961 0.742 1962 0.669 1963 0.652 1964 1.122 1965 1.282 1966 0.999 1967 1.241 1968 0.95 1969 0.806 1970 0.65 1971 0.633 1972 0.753 1973 0.776 1974 0.964 1975 0.907 1976 1.225 1977 1.075 1978 0.982 1979 1.589