# northamerica_canada_cana156 - MacKenzie 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/3603 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana156 - MacKenzie 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: MacKenzie Mountains # Location: # Country: Canada # Northernmost_Latitude: 65.0 # Southernmost_Latitude: 65.0 # Easternmost_Longitude: -127.83 # Westernmost_Longitude: -127.83 # Elevation: 1375 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana156B # Earliest_Year: 1648 # 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":"5.79517915163","T2":"17.8442350014","M1":"0.0225030321494","M2":"0.343668008567"}} #-------------------- # 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 1648 1.202 1649 1.026 1650 1.065 1651 0.828 1652 0.764 1653 0.855 1654 1.025 1655 1.296 1656 1.105 1657 1.135 1658 1.164 1659 1.057 1660 1.202 1661 1.064 1662 1.424 1663 1.009 1664 1.139 1665 1.045 1666 0.862 1667 0.814 1668 0.49 1669 0.708 1670 0.686 1671 0.45 1672 0.431 1673 0.555 1674 0.562 1675 0.783 1676 0.81 1677 0.87 1678 0.923 1679 0.778 1680 0.737 1681 0.874 1682 0.908 1683 0.905 1684 0.813 1685 0.722 1686 0.625 1687 0.548 1688 0.753 1689 0.856 1690 1.023 1691 1.045 1692 1.006 1693 0.91 1694 1.06 1695 0.837 1696 0.266 1697 0.744 1698 0.724 1699 0.567 1700 0.574 1701 0.63 1702 0.927 1703 0.834 1704 0.687 1705 0.604 1706 0.646 1707 0.687 1708 0.917 1709 0.783 1710 0.858 1711 0.772 1712 0.734 1713 1.193 1714 0.949 1715 1.115 1716 1.194 1717 0.856 1718 0.894 1719 0.898 1720 1.075 1721 0.512 1722 1.342 1723 0.947 1724 1.086 1725 1.183 1726 1.244 1727 1.131 1728 0.799 1729 0.823 1730 1.038 1731 0.973 1732 0.598 1733 1.385 1734 1.316 1735 1.402 1736 1.161 1737 1.377 1738 0.852 1739 0.962 1740 0.837 1741 0.958 1742 1.057 1743 0.964 1744 0.832 1745 1.036 1746 1.244 1747 0.889 1748 1.131 1749 1.631 1750 1.29 1751 0.811 1752 1.243 1753 1.347 1754 1.297 1755 0.871 1756 1.035 1757 1.05 1758 1.191 1759 1.164 1760 1.257 1761 1.164 1762 1.159 1763 1.054 1764 1.212 1765 0.885 1766 1.208 1767 1.141 1768 1.433 1769 0.933 1770 1.747 1771 1.635 1772 1.855 1773 1.506 1774 1.42 1775 1.579 1776 1.446 1777 1.362 1778 1.25 1779 1.258 1780 1.174 1781 1.433 1782 1.031 1783 1.368 1784 1.083 1785 1.115 1786 1.432 1787 1.437 1788 0.988 1789 1.077 1790 1.172 1791 1.23 1792 1.064 1793 1.173 1794 0.962 1795 1.213 1796 1.198 1797 1.061 1798 0.918 1799 1.052 1800 0.946 1801 1.158 1802 0.879 1803 0.892 1804 1.239 1805 1.052 1806 1.309 1807 1.144 1808 1.088 1809 1.098 1810 0.899 1811 0.856 1812 0.822 1813 1.129 1814 1.026 1815 0.823 1816 1.094 1817 0.761 1818 1.006 1819 0.791 1820 0.84 1821 0.721 1822 0.805 1823 0.847 1824 0.335 1825 0.663 1826 0.668 1827 0.638 1828 0.887 1829 0.647 1830 0.567 1831 0.625 1832 0.795 1833 0.721 1834 0.791 1835 0.632 1836 0.66 1837 0.581 1838 0.733 1839 0.743 1840 0.737 1841 0.853 1842 0.818 1843 0.86 1844 0.869 1845 0.681 1846 0.65 1847 0.79 1848 0.999 1849 0.682 1850 0.701 1851 0.695 1852 0.65 1853 0.811 1854 0.907 1855 0.961 1856 0.714 1857 0.8 1858 0.817 1859 0.982 1860 0.845 1861 0.869 1862 0.841 1863 0.844 1864 0.819 1865 0.987 1866 0.866 1867 0.791 1868 1.051 1869 0.835 1870 0.987 1871 1.024 1872 0.789 1873 0.92 1874 1.056 1875 1.273 1876 0.84 1877 0.837 1878 0.742 1879 0.784 1880 1.029 1881 0.768 1882 1.121 1883 0.79 1884 0.908 1885 0.975 1886 1.203 1887 0.983 1888 1.259 1889 1.161 1890 1.19 1891 1.306 1892 0.869 1893 0.928 1894 0.921 1895 0.939 1896 0.909 1897 1.074 1898 0.857 1899 0.995 1900 0.854 1901 1.17 1902 0.78 1903 0.926 1904 0.752 1905 0.935 1906 0.755 1907 0.687 1908 0.785 1909 0.971 1910 0.955 1911 0.832 1912 0.793 1913 1.024 1914 1.032 1915 0.986 1916 0.89 1917 0.968 1918 0.984 1919 1.003 1920 0.798 1921 0.901 1922 0.942 1923 1.121 1924 0.707 1925 0.83 1926 0.815 1927 0.973 1928 0.832 1929 0.644 1930 1.072 1931 0.871 1932 1.055 1933 1.039 1934 1.423 1935 1.35 1936 1.278 1937 1.216 1938 1.332 1939 1.041 1940 0.8 1941 1.037 1942 0.992 1943 1.136 1944 1.114 1945 1.244 1946 1.238 1947 1.02 1948 1.326 1949 0.896 1950 1.278 1951 0.979 1952 1.2 1953 1.223 1954 1.428 1955 1.193 1956 1.127 1957 1.058 1958 1.102 1959 1.128 1960 1.191 1961 1.272 1962 0.897 1963 0.985 1964 1.263 1965 0.999 1966 0.924 1967 0.913 1968 0.942 1969 0.933 1970 0.847 1971 0.909 1972 1.14 1973 0.835 1974 0.845 1975 0.411 1976 0.679 1977 0.884 1978 0.845 1979 0.878 1980 0.806 1981 0.906 1982 1.294 1983 0.939 1984 0.987