# northamerica_canada_cana052 - Bras d'Or Lake (Insel) - 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/4354 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana052 - Bras d'Or Lake (Insel) - 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: Bras d'Or Lake (Insel) # Location: # Country: Canada # Northernmost_Latitude: 62.45 # Southernmost_Latitude: 62.45 # Easternmost_Longitude: -116.13 # Westernmost_Longitude: -116.13 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana052B # Earliest_Year: 1777 # Most_Recent_Year: 1988 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.90456809385","T2":"16.3971709878","M1":"0.0227824117882","M2":"0.387853080413"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1777 1.203 1778 0.848 1779 0.925 1780 1.046 1781 0.959 1782 1.015 1783 0.984 1784 0.893 1785 0.697 1786 0.857 1787 0.93 1788 0.804 1789 0.763 1790 1.033 1791 1.093 1792 0.917 1793 0.934 1794 1.025 1795 1.168 1796 1.009 1797 0.86 1798 0.916 1799 0.951 1800 1.019 1801 0.884 1802 0.784 1803 0.718 1804 0.693 1805 0.635 1806 0.613 1807 0.581 1808 0.565 1809 0.554 1810 0.727 1811 0.812 1812 0.644 1813 0.624 1814 0.67 1815 0.639 1816 0.647 1817 0.61 1818 0.626 1819 0.698 1820 0.748 1821 0.795 1822 0.744 1823 0.672 1824 0.707 1825 0.742 1826 0.738 1827 0.734 1828 0.728 1829 0.721 1830 0.715 1831 0.787 1832 0.82 1833 0.668 1834 0.649 1835 0.653 1836 0.743 1837 0.751 1838 0.766 1839 0.73 1840 0.828 1841 0.821 1842 0.888 1843 0.788 1844 0.774 1845 0.802 1846 0.799 1847 0.854 1848 0.802 1849 0.643 1850 0.542 1851 0.625 1852 0.707 1853 0.737 1854 0.666 1855 0.63 1856 0.643 1857 0.601 1858 0.518 1859 0.471 1860 0.522 1861 0.614 1862 0.668 1863 0.601 1864 0.589 1865 0.499 1866 0.531 1867 0.583 1868 0.616 1869 0.908 1870 1.151 1871 1.125 1872 1.14 1873 1.316 1874 1.201 1875 1.469 1876 1.331 1877 1.409 1878 1.386 1879 1.517 1880 1.462 1881 1.947 1882 1.727 1883 2.004 1884 1.765 1885 1.608 1886 1.46 1887 1.555 1888 1.427 1889 1.474 1890 1.569 1891 1.793 1892 1.903 1893 1.651 1894 1.58 1895 1.743 1896 1.444 1897 1.686 1898 1.343 1899 1.72 1900 1.48 1901 1.5 1902 1.289 1903 1.249 1904 1.071 1905 1.194 1906 1.204 1907 1.156 1908 1.25 1909 1.191 1910 1.401 1911 1.318 1912 1.24 1913 1.213 1914 1.194 1915 0.998 1916 1.115 1917 1.115 1918 1.016 1919 1.23 1920 1.137 1921 1.288 1922 1.167 1923 1.224 1924 1.062 1925 1.131 1926 1.098 1927 1.268 1928 1.179 1929 1.012 1930 1.132 1931 1.129 1932 1.216 1933 1.182 1934 1.246 1935 1.338 1936 1.242 1937 1.128 1938 1.248 1939 1.078 1940 0.905 1941 1.087 1942 0.861 1943 0.974 1944 0.874 1945 0.838 1946 0.893 1947 0.793 1948 0.953 1949 0.882 1950 0.84 1951 0.822 1952 0.836 1953 0.836 1954 0.87 1955 0.924 1956 1.01 1957 0.799 1958 0.791 1959 0.782 1960 0.744 1961 0.838 1962 0.654 1963 0.624 1964 0.728 1965 0.677 1966 0.704 1967 0.695 1968 0.556 1969 0.587 1970 0.744 1971 0.667 1972 0.682 1973 0.653 1974 0.708 1975 0.664 1976 0.572 1977 0.646 1978 0.622 1979 0.574 1980 0.5 1981 0.568 1982 0.61 1983 0.555 1984 0.558 1985 0.571 1986 0.553 1987 0.526 1988 0.501