# northamerica_canada_cana269 - Quebec City Regional Archaeological - 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/6122 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana269 - Quebec City Regional Archaeological - 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: Quebec City Regional Archaeological # Location: # Country: Canada # Northernmost_Latitude: 46.83 # Southernmost_Latitude: 46.83 # Easternmost_Longitude: -71.17 # Westernmost_Longitude: -71.17 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana269B # Earliest_Year: 1602 # Most_Recent_Year: 2005 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.87064384871","T2":"14.2999918997","M1":"0.0226741752571","M2":"0.398664046593"}} #-------------------- # Species # Species_Name: northern white cedar # Species_Code: THOC #-------------------- # 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 1602 0.982 1603 0.834 1604 0.956 1605 0.943 1606 1.05 1607 1.111 1608 0.996 1609 0.922 1610 0.98 1611 1.103 1612 1.054 1613 0.86 1614 1.032 1615 0.957 1616 1.069 1617 0.98 1618 0.934 1619 1.13 1620 0.88 1621 0.964 1622 1.067 1623 1.009 1624 0.975 1625 1.023 1626 1.022 1627 0.996 1628 1.023 1629 0.876 1630 1.02 1631 1.076 1632 0.986 1633 0.983 1634 1.005 1635 1.07 1636 0.911 1637 1.026 1638 1.115 1639 0.963 1640 0.966 1641 1.008 1642 1.049 1643 1.027 1644 0.991 1645 0.932 1646 1.059 1647 0.923 1648 0.99 1649 1.1 1650 0.931 1651 1.066 1652 1.002 1653 0.885 1654 1.045 1655 1.05 1656 1.049 1657 1.037 1658 0.939 1659 0.953 1660 1.051 1661 1.209 1662 0.893 1663 0.776 1664 1.181 1665 1.037 1666 0.915 1667 1.01 1668 1.133 1669 1.051 1670 0.98 1671 0.89 1672 0.923 1673 0.847 1674 1.203 1675 1.179 1676 0.829 1677 0.889 1678 1.11 1679 1.151 1680 0.927 1681 0.962 1682 0.999 1683 0.956 1684 1.031 1685 0.954 1686 1.126 1687 0.892 1688 0.892 1689 1.065 1690 0.976 1691 1.161 1692 1.143 1693 0.808 1694 0.903 1695 1.052 1696 1.104 1697 0.999 1698 0.938 1699 0.979 1700 1.072 1701 1.027 1702 0.974 1703 1.021 1704 0.955 1705 0.91 1706 0.968 1707 1.048 1708 1.029 1709 0.989 1710 1.027 1711 1.014 1712 1.098 1713 0.89 1714 0.99 1715 1.127 1716 0.875 1717 0.981 1718 1.025 1719 0.946 1720 1.008 1721 0.991 1722 1.033 1723 0.998 1724 0.966 1725 1.003 1726 1.014 1727 1.03 1728 0.9 1729 1.118 1730 0.977 1731 1.1 1732 1.082 1733 0.867 1734 0.981 1735 1.027 1736 0.954 1737 0.972 1738 1.142 1739 0.985 1740 0.867 1741 0.951 1742 1.039 1743 1.029 1744 0.95 1745 0.948 1746 1.009 1747 1.171 1748 0.911 1749 0.876 1750 1.061 1751 0.998 1752 0.947 1753 0.861 1754 0.991 1755 1.204 1756 1.021 1757 0.931 1758 0.949 1759 1.037 1760 0.865 1761 0.955 1762 1.156 1763 0.957 1764 1.024 1765 1.066 1766 0.996 1767 0.945 1768 0.993 1769 0.966 1770 0.937 1771 1.099 1772 1.001 1773 1.06 1774 0.941 1775 1.08 1776 1.034 1777 0.975 1778 0.969 1779 0.849 1780 1.176 1781 0.948 1782 1.032 1783 0.982 1784 0.971 1785 1.023 1786 1.024 1787 1.109 1788 0.962 1789 0.918 1790 1.036 1791 1.23 1792 0.715 1793 1.022 1794 1.153 1795 0.969 1796 0.94 1797 1.005 1798 0.927 1799 0.947 1800 1.116 1801 0.991 1802 1.022 1803 1.093 1804 1.061 1805 0.877 1806 0.85 1807 1.21 1808 1.029 1809 1.0 1810 0.945 1811 1.157 1812 0.76 1813 1.03 1814 1.033 1815 1.039 1816 0.993 1817 1.077 1818 0.919 1819 1.079 1820 1.018 1821 0.828 1822 1.013 1823 1.111 1824 0.973 1825 1.025 1826 0.925 1827 1.047 1828 0.924 1829 0.991 1830 1.119 1831 0.892 1832 1.084 1833 1.142 1834 0.979 1835 0.885 1836 0.982 1837 1.136 1838 0.812 1839 0.909 1840 1.016 1841 1.012 1842 1.027 1843 0.991 1844 0.985 1845 1.081 1846 1.018 1847 0.912 1848 1.1 1849 0.89 1850 0.876 1851 1.223 1852 1.172 1853 0.736 1854 1.009 1855 0.989 1856 1.004 1857 1.032 1858 0.939 1859 1.134 1860 0.836 1861 0.972 1862 1.142 1863 1.085 1864 0.925 1865 0.953 1866 1.082 1867 0.867 1868 0.994 1869 1.099 1870 0.923 1871 0.987 1872 0.906 1873 1.072 1874 1.043 1875 1.05 1876 0.834 1877 0.864 1878 0.988 1879 1.111 1880 1.036 1881 0.959 1882 0.853 1883 0.998 1884 1.059 1885 0.956 1886 1.065 1887 1.021 1888 0.837 1889 1.118 1890 0.931 1891 1.061 1892 1.108 1893 0.807 1894 0.984 1895 1.071 1896 0.987 1897 0.924 1898 1.022 1899 1.061 1900 0.872 1901 0.902 1902 1.064 1903 1.136 1904 1.067 1905 0.885 1906 0.92 1907 0.886 1908 0.879 1909 0.951 1910 1.134 1911 1.024 1912 1.036 1913 1.135 1914 0.866 1915 1.031 1916 0.939 1917 0.951 1918 1.107 1919 0.91 1920 1.103 1921 1.092 1922 0.86 1923 0.916 1924 0.955 1925 0.929 1926 1.057 1927 1.009 1928 1.003 1929 1.076 1930 0.962 1931 1.162 1932 0.965 1933 0.914 1934 0.96 1935 1.104 1936 0.899 1937 1.032 1938 0.98 1939 1.109 1940 1.05 1941 1.021 1942 0.954 1943 0.94 1944 0.901 1945 1.085 1946 1.022 1947 0.959 1948 1.016 1949 0.999 1950 0.986 1951 1.056 1952 0.957 1953 1.033 1954 1.04 1955 1.025 1956 0.814 1957 1.049 1958 1.252 1959 1.048 1960 0.809 1961 1.047 1962 0.958 1963 0.994 1964 0.979 1965 1.143 1966 0.941 1967 0.908 1968 1.2 1969 0.939 1970 0.931 1971 0.949 1972 1.101 1973 1.175 1974 0.784 1975 0.949 1976 1.037 1977 1.098 1978 0.915 1979 1.029 1980 1.109 1981 0.929 1982 1.012 1983 1.019 1984 0.987 1985 0.975 1986 1.049 1987 1.125 1988 0.941 1989 0.989 1990 1.094 1991 0.948 1992 0.905 1993 1.162 1994 0.997 1995 1.006 1996 0.927 1997 1.021 1998 1.115 1999 0.895 2000 0.968 2001 1.003 2002 1.037 2003 0.91 2004 0.826 2005 0.978