# northamerica_canada_cana154 - Franklin Mountains - 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/3594 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana154 - Franklin Mountains - 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: Franklin Mountains # Location: # Country: Canada # Northernmost_Latitude: 65.33 # Southernmost_Latitude: 65.33 # Easternmost_Longitude: -126.68 # Westernmost_Longitude: -126.68 # Elevation: 725 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana154B # Earliest_Year: 1676 # Most_Recent_Year: 1984 # 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":"6.51652746403","T2":"18.1461042696","M1":"0.0220448141157","M2":"0.299783200021"}} #-------------------- # 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 1676 0.845 1677 0.896 1678 0.735 1679 0.788 1680 0.841 1681 0.991 1682 0.981 1683 0.917 1684 0.888 1685 0.836 1686 0.774 1687 0.661 1688 1.01 1689 0.921 1690 1.077 1691 0.942 1692 0.94 1693 1.016 1694 1.091 1695 0.934 1696 1.077 1697 0.993 1698 0.901 1699 0.81 1700 0.751 1701 0.639 1702 0.866 1703 0.769 1704 0.669 1705 0.673 1706 0.765 1707 0.708 1708 0.805 1709 0.72 1710 0.685 1711 0.709 1712 0.606 1713 0.891 1714 0.994 1715 1.075 1716 0.94 1717 0.818 1718 0.927 1719 0.775 1720 0.935 1721 0.388 1722 0.993 1723 0.72 1724 0.876 1725 0.984 1726 0.967 1727 1.043 1728 0.697 1729 0.9 1730 0.956 1731 0.718 1732 0.549 1733 1.022 1734 1.091 1735 1.031 1736 0.951 1737 0.989 1738 0.685 1739 1.142 1740 0.88 1741 1.01 1742 1.207 1743 1.127 1744 0.978 1745 1.07 1746 1.338 1747 1.079 1748 1.013 1749 1.45 1750 1.347 1751 0.989 1752 1.154 1753 1.259 1754 1.281 1755 0.882 1756 1.074 1757 1.16 1758 1.142 1759 1.103 1760 1.192 1761 1.173 1762 1.042 1763 0.994 1764 1.068 1765 0.876 1766 1.029 1767 0.888 1768 1.312 1769 0.783 1770 1.308 1771 1.117 1772 1.455 1773 0.969 1774 1.095 1775 1.338 1776 1.372 1777 1.36 1778 1.172 1779 1.416 1780 1.203 1781 1.463 1782 1.032 1783 1.21 1784 0.909 1785 0.957 1786 1.255 1787 1.229 1788 1.129 1789 1.235 1790 1.231 1791 1.236 1792 0.93 1793 1.077 1794 0.917 1795 1.065 1796 1.076 1797 0.967 1798 1.015 1799 1.01 1800 1.142 1801 1.255 1802 0.9 1803 0.871 1804 1.051 1805 0.978 1806 1.257 1807 0.943 1808 1.037 1809 1.152 1810 0.968 1811 0.832 1812 0.812 1813 1.087 1814 1.033 1815 0.885 1816 1.094 1817 0.733 1818 1.002 1819 0.857 1820 0.834 1821 0.798 1822 0.931 1823 0.946 1824 0.841 1825 0.845 1826 1.028 1827 0.855 1828 1.019 1829 0.742 1830 0.699 1831 0.742 1832 1.032 1833 0.799 1834 0.816 1835 0.629 1836 0.852 1837 0.55 1838 1.008 1839 0.842 1840 0.771 1841 0.971 1842 0.77 1843 0.967 1844 0.884 1845 0.847 1846 0.893 1847 0.9 1848 1.286 1849 0.996 1850 0.821 1851 0.856 1852 0.767 1853 1.05 1854 1.053 1855 1.063 1856 0.917 1857 0.854 1858 1.012 1859 1.052 1860 1.133 1861 1.163 1862 1.139 1863 1.032 1864 0.859 1865 1.197 1866 1.189 1867 1.031 1868 1.243 1869 0.997 1870 1.102 1871 0.981 1872 0.684 1873 0.975 1874 1.09 1875 1.069 1876 0.818 1877 0.98 1878 0.548 1879 1.342 1880 1.146 1881 0.96 1882 1.111 1883 0.719 1884 0.942 1885 0.769 1886 1.173 1887 0.831 1888 0.989 1889 0.776 1890 1.111 1891 0.877 1892 0.767 1893 0.805 1894 0.917 1895 0.875 1896 0.843 1897 0.896 1898 0.661 1899 1.064 1900 0.784 1901 1.04 1902 0.668 1903 0.88 1904 0.781 1905 0.867 1906 0.939 1907 0.774 1908 0.81 1909 0.892 1910 0.913 1911 0.717 1912 0.715 1913 0.996 1914 0.994 1915 0.867 1916 0.821 1917 0.852 1918 0.875 1919 0.92 1920 0.796 1921 0.925 1922 0.857 1923 0.99 1924 0.665 1925 0.814 1926 0.855 1927 1.035 1928 0.927 1929 0.669 1930 0.964 1931 0.704 1932 0.965 1933 0.988 1934 1.162 1935 1.296 1936 1.08 1937 0.983 1938 1.166 1939 0.954 1940 0.612 1941 0.936 1942 0.972 1943 1.033 1944 0.983 1945 1.187 1946 1.189 1947 0.984 1948 1.32 1949 1.018 1950 1.038 1951 0.939 1952 1.166 1953 1.097 1954 1.427 1955 1.449 1956 1.229 1957 0.739 1958 0.958 1959 1.007 1960 0.986 1961 0.989 1962 0.827 1963 0.802 1964 1.296 1965 0.855 1966 0.851 1967 0.905 1968 0.963 1969 0.888 1970 0.763 1971 1.09 1972 1.167 1973 0.933 1974 0.923 1975 0.881 1976 0.766 1977 1.092 1978 0.986 1979 1.074 1980 1.024 1981 0.958 1982 1.374 1983 1.158 1984 1.273