# northamerica_canada_cana125 - Tombstone Mountain (Trees less 100 years) - 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/5103 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana125 - Tombstone Mountain (Trees less 100 years) - 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: Tombstone Mountain (Trees less 100 years) # Location: # Country: Canada # Northernmost_Latitude: 64.52 # Southernmost_Latitude: 64.52 # Easternmost_Longitude: -138.32 # Westernmost_Longitude: -138.32 # Elevation: 1130 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana125B # Earliest_Year: 1600 # Most_Recent_Year: 1992 # 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":"7.6742926332","T2":"18.0712367401","M1":"0.0220448778754","M2":"0.321963789768"}} #-------------------- # 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 1600 0.977 1601 0.933 1602 0.694 1603 0.907 1604 0.953 1605 0.858 1606 0.814 1607 0.851 1608 0.811 1609 0.931 1610 0.683 1611 0.564 1612 0.668 1613 0.777 1614 0.848 1615 0.853 1616 0.786 1617 0.867 1618 0.842 1619 0.754 1620 0.777 1621 0.988 1622 0.825 1623 0.713 1624 0.799 1625 0.842 1626 0.913 1627 0.831 1628 0.761 1629 0.864 1630 0.739 1631 0.581 1632 0.727 1633 0.706 1634 0.96 1635 0.678 1636 0.789 1637 0.949 1638 0.977 1639 0.948 1640 1.047 1641 0.95 1642 0.819 1643 0.948 1644 1.029 1645 0.81 1646 0.79 1647 0.752 1648 0.911 1649 1.056 1650 1.185 1651 0.898 1652 0.904 1653 0.874 1654 1.274 1655 1.137 1656 0.979 1657 0.858 1658 0.976 1659 0.906 1660 1.011 1661 1.08 1662 1.051 1663 1.133 1664 0.964 1665 1.07 1666 1.033 1667 0.933 1668 1.112 1669 1.126 1670 0.944 1671 1.1 1672 1.243 1673 1.385 1674 0.854 1675 1.102 1676 1.165 1677 1.023 1678 1.078 1679 0.887 1680 1.087 1681 1.221 1682 1.176 1683 1.069 1684 0.987 1685 0.924 1686 1.078 1687 0.671 1688 0.94 1689 0.869 1690 0.903 1691 0.951 1692 1.023 1693 1.086 1694 1.271 1695 0.948 1696 1.248 1697 1.29 1698 1.045 1699 0.755 1700 0.601 1701 0.874 1702 1.132 1703 1.122 1704 1.154 1705 1.013 1706 1.076 1707 1.263 1708 1.186 1709 1.146 1710 1.004 1711 0.895 1712 0.664 1713 0.922 1714 0.86 1715 1.17 1716 1.071 1717 0.88 1718 0.91 1719 0.947 1720 1.07 1721 0.777 1722 1.153 1723 1.036 1724 1.069 1725 1.103 1726 1.22 1727 1.56 1728 0.913 1729 1.177 1730 1.249 1731 1.177 1732 1.022 1733 1.134 1734 1.153 1735 1.041 1736 1.107 1737 1.437 1738 0.957 1739 1.368 1740 0.99 1741 0.962 1742 0.986 1743 0.991 1744 0.867 1745 0.967 1746 1.039 1747 0.861 1748 1.092 1749 1.135 1750 1.141 1751 0.906 1752 1.139 1753 1.209 1754 0.947 1755 0.813 1756 1.153 1757 0.832 1758 1.049 1759 0.938 1760 0.906 1761 1.274 1762 0.865 1763 1.009 1764 0.858 1765 0.761 1766 0.819 1767 0.997 1768 1.062 1769 0.974 1770 1.006 1771 0.953 1772 0.997 1773 0.869 1774 0.898 1775 0.962 1776 0.976 1777 1.03 1778 1.074 1779 0.857 1780 0.781 1781 1.117 1782 0.954 1783 0.875 1784 0.815 1785 0.882 1786 1.037 1787 1.005 1788 0.836 1789 0.776 1790 0.873 1791 0.929 1792 0.941 1793 1.004 1794 0.809 1795 0.853 1796 0.899 1797 0.911 1798 0.896 1799 0.836 1800 0.917 1801 1.102 1802 0.985 1803 0.802 1804 0.952 1805 0.842 1806 0.906 1807 0.902 1808 0.962 1809 0.744 1810 0.82 1811 0.764 1812 0.749 1813 0.909 1814 0.704 1815 0.778 1816 0.744 1817 0.656 1818 0.914 1819 0.782 1820 0.687 1821 0.612 1822 0.646 1823 0.699 1824 0.74 1825 0.701 1826 0.663 1827 0.703 1828 0.8 1829 0.685 1830 0.586 1831 0.684 1832 0.7 1833 0.772 1834 0.756 1835 0.549 1836 0.624 1837 0.704 1838 0.785 1839 0.678 1840 0.776 1841 0.779 1842 0.642 1843 0.664 1844 0.715 1845 0.566 1846 0.596 1847 0.572 1848 0.812 1849 0.565 1850 0.422 1851 0.644 1852 0.719 1853 0.816 1854 0.841 1855 0.908 1856 0.811 1857 0.884 1858 1.156 1859 1.139 1860 1.113 1861 1.068 1862 0.984 1863 0.992 1864 1.079 1865 1.195 1866 1.171 1867 1.294 1868 1.154 1869 1.138 1870 1.006 1871 1.158 1872 0.869 1873 0.953 1874 1.033 1875 1.137 1876 0.998 1877 0.457 1878 0.594 1879 0.966 1880 1.101 1881 1.401 1882 1.484 1883 1.309 1884 1.388 1885 1.401 1886 1.228 1887 0.898 1888 1.251 1889 1.246 1890 1.172 1891 1.429 1892 1.129 1893 1.358 1894 1.196 1895 1.162 1896 1.256 1897 1.213 1898 1.092 1899 1.074 1900 0.894 1901 0.927 1902 0.955 1903 1.044 1904 0.79 1905 0.88 1906 1.008 1907 0.961 1908 1.12 1909 1.094 1910 1.053 1911 1.018 1912 0.835 1913 1.214 1914 1.043 1915 0.9 1916 0.769 1917 0.938 1918 1.114 1919 0.848 1920 0.967 1921 0.85 1922 0.844 1923 1.231 1924 0.851 1925 0.909 1926 0.832 1927 0.94 1928 0.848 1929 0.803 1930 0.896 1931 0.928 1932 0.884 1933 0.81 1934 1.134 1935 1.235 1936 1.11 1937 1.01 1938 1.077 1939 1.272 1940 1.026 1941 1.081 1942 1.071 1943 1.169 1944 1.065 1945 1.164 1946 1.391 1947 1.054 1948 1.197 1949 0.844 1950 1.236 1951 0.989 1952 1.169 1953 1.182 1954 1.393 1955 1.217 1956 1.112 1957 1.107 1958 1.284 1959 1.172 1960 1.235 1961 1.36 1962 1.25 1963 0.986 1964 1.252 1965 1.205 1966 1.188 1967 1.153 1968 1.261 1969 1.131 1970 0.921 1971 1.205 1972 0.961 1973 0.833 1974 0.906 1975 0.95 1976 0.694 1977 0.741 1978 0.823 1979 0.844 1980 0.855 1981 0.749 1982 1.033 1983 0.881 1984 0.686 1985 0.841 1986 0.815 1987 0.688 1988 0.763 1989 0.774 1990 0.827 1991 0.725 1992 0.829