# northamerica_usa_or046 - Lookout Mountain Lower - 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/4780 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or046 - Lookout Mountain Lower - 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: Lookout Mountain Lower # Location: # Country: United States # Northernmost_Latitude: 43.75 # Southernmost_Latitude: 43.75 # Easternmost_Longitude: -121.65 # Westernmost_Longitude: -121.65 # Elevation: 1320 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or046B # Earliest_Year: 1615 # Most_Recent_Year: 1995 # 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":"5.17045593227","T2":"15.341866072","M1":"0.023067668052","M2":"0.492429591226"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1615 0.974 1616 1.06 1617 0.918 1618 0.861 1619 0.438 1620 0.293 1621 0.333 1622 0.454 1623 0.457 1624 0.58 1625 0.769 1626 0.618 1627 0.69 1628 0.838 1629 0.813 1630 0.739 1631 0.643 1632 0.632 1633 0.622 1634 0.764 1635 0.832 1636 0.932 1637 1.115 1638 1.031 1639 1.064 1640 1.218 1641 1.332 1642 1.373 1643 1.118 1644 1.28 1645 1.397 1646 1.297 1647 1.327 1648 1.249 1649 1.027 1650 1.079 1651 1.094 1652 0.898 1653 0.495 1654 0.787 1655 0.873 1656 1.025 1657 1.078 1658 1.11 1659 1.121 1660 1.386 1661 0.893 1662 0.528 1663 0.531 1664 0.729 1665 0.769 1666 1.049 1667 1.279 1668 1.175 1669 1.464 1670 1.516 1671 1.539 1672 1.599 1673 1.539 1674 1.561 1675 1.479 1676 1.353 1677 1.139 1678 1.176 1679 0.902 1680 0.462 1681 0.815 1682 0.855 1683 0.87 1684 0.944 1685 1.231 1686 1.378 1687 1.43 1688 1.421 1689 1.566 1690 1.524 1691 1.486 1692 1.531 1693 1.304 1694 1.424 1695 1.346 1696 1.216 1697 1.322 1698 1.436 1699 1.178 1700 1.252 1701 1.076 1702 0.962 1703 0.892 1704 0.878 1705 0.966 1706 1.074 1707 1.264 1708 0.984 1709 1.032 1710 1.165 1711 1.171 1712 1.247 1713 1.205 1714 1.26 1715 1.34 1716 1.44 1717 1.149 1718 1.034 1719 1.178 1720 1.229 1721 1.107 1722 1.229 1723 1.223 1724 1.071 1725 1.061 1726 1.25 1727 1.345 1728 1.102 1729 0.937 1730 1.131 1731 1.091 1732 1.194 1733 1.245 1734 0.97 1735 0.799 1736 0.702 1737 0.669 1738 0.779 1739 0.57 1740 0.738 1741 0.74 1742 0.734 1743 0.93 1744 0.861 1745 0.829 1746 0.823 1747 0.876 1748 0.828 1749 0.926 1750 0.995 1751 0.995 1752 1.008 1753 0.833 1754 0.793 1755 0.879 1756 0.747 1757 0.665 1758 0.841 1759 0.688 1760 0.713 1761 0.939 1762 0.917 1763 0.945 1764 0.848 1765 0.92 1766 1.049 1767 1.01 1768 0.889 1769 0.879 1770 0.932 1771 0.976 1772 1.09 1773 1.21 1774 1.191 1775 1.042 1776 0.922 1777 0.772 1778 0.698 1779 0.727 1780 0.771 1781 0.697 1782 0.744 1783 0.691 1784 0.85 1785 0.757 1786 0.697 1787 0.779 1788 0.907 1789 0.993 1790 0.863 1791 1.211 1792 1.046 1793 1.113 1794 1.186 1795 1.197 1796 1.139 1797 1.051 1798 1.231 1799 1.268 1800 1.155 1801 1.056 1802 1.038 1803 0.681 1804 0.482 1805 0.559 1806 0.629 1807 0.614 1808 0.655 1809 0.719 1810 0.697 1811 0.788 1812 0.963 1813 0.84 1814 1.053 1815 0.912 1816 0.989 1817 0.958 1818 1.036 1819 0.838 1820 0.861 1821 0.707 1822 0.905 1823 0.79 1824 0.92 1825 0.969 1826 1.089 1827 0.905 1828 0.9 1829 1.046 1830 0.9 1831 1.037 1832 1.163 1833 1.089 1834 1.122 1835 1.076 1836 1.157 1837 1.16 1838 1.076 1839 1.026 1840 0.983 1841 0.932 1842 0.854 1843 0.689 1844 0.346 1845 0.314 1846 0.421 1847 0.378 1848 0.522 1849 0.485 1850 0.595 1851 0.632 1852 0.682 1853 0.796 1854 0.914 1855 1.135 1856 1.036 1857 1.159 1858 1.045 1859 1.029 1860 1.323 1861 1.402 1862 1.173 1863 1.247 1864 1.128 1865 0.934 1866 1.075 1867 1.087 1868 1.122 1869 1.212 1870 1.304 1871 1.249 1872 1.218 1873 1.283 1874 1.485 1875 1.347 1876 1.433 1877 1.546 1878 1.478 1879 1.397 1880 1.168 1881 1.241 1882 1.068 1883 1.048 1884 1.071 1885 0.947 1886 1.033 1887 1.22 1888 1.153 1889 1.002 1890 0.735 1891 0.941 1892 0.938 1893 1.0 1894 0.909 1895 0.877 1896 0.76 1897 0.905 1898 0.865 1899 0.604 1900 0.911 1901 1.021 1902 0.961 1903 0.996 1904 1.14 1905 1.223 1906 1.253 1907 1.357 1908 1.365 1909 1.328 1910 1.19 1911 1.237 1912 1.312 1913 1.32 1914 1.271 1915 1.401 1916 1.345 1917 1.221 1918 1.188 1919 1.292 1920 1.171 1921 1.22 1922 1.009 1923 0.973 1924 0.863 1925 0.784 1926 0.761 1927 0.733 1928 0.789 1929 0.726 1930 0.599 1931 0.71 1932 0.855 1933 0.826 1934 0.861 1935 0.929 1936 0.739 1937 0.75 1938 0.94 1939 0.913 1940 0.913 1941 0.898 1942 1.066 1943 1.112 1944 1.193 1945 1.099 1946 1.159 1947 1.212 1948 1.11 1949 0.897 1950 0.967 1951 0.891 1952 0.949 1953 0.827 1954 0.899 1955 0.887 1956 0.893 1957 0.92 1958 0.946 1959 0.849 1960 0.946 1961 1.025 1962 0.989 1963 1.115 1964 1.102 1965 0.962 1966 1.157 1967 1.034 1968 0.915 1969 1.146 1970 1.025 1971 0.938 1972 0.945 1973 0.882 1974 0.957 1975 1.005 1976 1.019 1977 0.721 1978 0.976 1979 0.815 1980 0.961 1981 1.047 1982 1.155 1983 1.05 1984 1.058 1985 1.074 1986 1.021 1987 0.924 1988 1.049 1989 0.705 1990 0.885 1991 0.777 1992 0.677 1993 0.721 1994 0.608 1995 0.446