# northamerica_usa_id008 - Galena Pass Sawtooth National Forest - 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/2819 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_id008 - Galena Pass Sawtooth National Forest - 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: Galena Pass Sawtooth National Forest # Location: # Country: United States # Northernmost_Latitude: 43.87 # Southernmost_Latitude: 43.87 # Easternmost_Longitude: -114.72 # Westernmost_Longitude: -114.72 # Elevation: 2580 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_id008B # Earliest_Year: 1630 # Most_Recent_Year: 1983 # 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":"4.51271876871","T2":"17.1117729109","M1":"0.0230723522669","M2":"0.467203497193"}} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1630 0.646 1631 0.561 1632 0.475 1633 0.706 1634 0.78 1635 0.577 1636 0.827 1637 0.828 1638 0.84 1639 0.848 1640 0.873 1641 0.607 1642 0.566 1643 0.839 1644 0.877 1645 1.048 1646 1.056 1647 1.02 1648 1.252 1649 1.378 1650 1.012 1651 1.026 1652 0.835 1653 0.705 1654 1.032 1655 1.01 1656 0.716 1657 0.663 1658 0.695 1659 0.963 1660 0.887 1661 0.921 1662 0.8 1663 0.839 1664 1.104 1665 1.122 1666 0.875 1667 0.755 1668 0.88 1669 0.869 1670 0.941 1671 0.852 1672 0.872 1673 1.004 1674 0.97 1675 1.05 1676 0.931 1677 1.069 1678 0.872 1679 0.879 1680 0.991 1681 0.922 1682 0.933 1683 1.048 1684 1.022 1685 1.105 1686 0.998 1687 0.904 1688 0.885 1689 1.039 1690 1.044 1691 0.919 1692 0.917 1693 0.909 1694 0.904 1695 0.611 1696 0.651 1697 0.9 1698 0.9 1699 0.755 1700 0.857 1701 0.877 1702 0.883 1703 0.899 1704 0.826 1705 1.021 1706 0.922 1707 0.725 1708 0.93 1709 0.868 1710 0.968 1711 0.853 1712 0.892 1713 0.771 1714 0.794 1715 0.752 1716 0.87 1717 1.05 1718 0.77 1719 0.647 1720 0.765 1721 0.785 1722 0.814 1723 0.867 1724 0.962 1725 1.03 1726 1.249 1727 1.269 1728 1.336 1729 1.239 1730 1.207 1731 1.38 1732 1.224 1733 1.384 1734 1.54 1735 1.293 1736 1.106 1737 0.98 1738 1.044 1739 1.446 1740 1.07 1741 1.367 1742 1.436 1743 1.488 1744 1.257 1745 1.294 1746 1.182 1747 1.233 1748 1.195 1749 0.923 1750 1.169 1751 1.202 1752 0.861 1753 1.251 1754 1.321 1755 1.226 1756 1.365 1757 0.81 1758 1.08 1759 1.118 1760 1.225 1761 1.147 1762 1.264 1763 1.113 1764 1.125 1765 1.22 1766 0.828 1767 1.138 1768 1.329 1769 1.309 1770 1.127 1771 1.013 1772 1.002 1773 1.162 1774 1.058 1775 0.909 1776 1.006 1777 0.922 1778 1.011 1779 0.956 1780 1.028 1781 1.115 1782 1.124 1783 0.829 1784 0.492 1785 0.835 1786 0.894 1787 0.99 1788 1.161 1789 1.109 1790 1.413 1791 1.242 1792 1.197 1793 1.034 1794 1.337 1795 0.975 1796 0.895 1797 1.158 1798 1.359 1799 1.116 1800 0.876 1801 1.113 1802 1.23 1803 0.869 1804 0.919 1805 0.863 1806 1.031 1807 1.231 1808 1.061 1809 1.019 1810 1.043 1811 1.278 1812 1.13 1813 1.133 1814 1.021 1815 1.087 1816 1.189 1817 1.046 1818 0.939 1819 1.006 1820 1.06 1821 1.017 1822 1.053 1823 0.834 1824 0.807 1825 0.901 1826 0.959 1827 1.168 1828 1.059 1829 1.025 1830 1.019 1831 1.123 1832 0.479 1833 1.14 1834 1.106 1835 0.74 1836 0.716 1837 0.817 1838 0.629 1839 1.039 1840 0.758 1841 0.885 1842 0.833 1843 1.017 1844 0.748 1845 0.603 1846 0.765 1847 0.582 1848 0.807 1849 0.676 1850 0.875 1851 0.934 1852 0.892 1853 0.759 1854 0.861 1855 0.981 1856 0.777 1857 0.61 1858 0.801 1859 0.931 1860 0.791 1861 0.906 1862 0.854 1863 1.242 1864 0.598 1865 0.768 1866 0.921 1867 0.969 1868 0.98 1869 1.041 1870 0.801 1871 0.88 1872 0.75 1873 1.074 1874 1.048 1875 0.927 1876 1.072 1877 1.065 1878 0.966 1879 0.918 1880 0.883 1881 0.942 1882 1.029 1883 0.864 1884 0.641 1885 0.862 1886 0.965 1887 0.774 1888 0.989 1889 0.676 1890 0.586 1891 0.675 1892 0.738 1893 0.938 1894 0.919 1895 0.876 1896 0.976 1897 0.824 1898 0.836 1899 0.716 1900 0.827 1901 0.788 1902 0.651 1903 0.61 1904 0.894 1905 0.81 1906 0.649 1907 0.754 1908 1.144 1909 0.942 1910 1.095 1911 1.03 1912 1.179 1913 1.044 1914 0.985 1915 0.839 1916 1.024 1917 1.25 1918 1.169 1919 1.284 1920 0.917 1921 0.925 1922 1.255 1923 0.997 1924 0.858 1925 0.82 1926 0.924 1927 0.901 1928 0.972 1929 0.898 1930 0.803 1931 0.835 1932 0.72 1933 0.969 1934 0.671 1935 0.847 1936 0.818 1937 0.805 1938 0.772 1939 1.01 1940 0.944 1941 0.993 1942 1.236 1943 1.18 1944 1.412 1945 1.545 1946 1.346 1947 1.236 1948 1.403 1949 1.476 1950 1.301 1951 1.393 1952 1.338 1953 1.326 1954 1.301 1955 1.384 1956 1.146 1957 1.292 1958 1.154 1959 1.238 1960 1.116 1961 0.99 1962 0.88 1963 1.111 1964 1.231 1965 1.202 1966 1.143 1967 0.811 1968 0.897 1969 0.783 1970 1.111 1971 1.044 1972 0.964 1973 1.108 1974 0.905 1975 1.07 1976 1.146 1977 1.056 1978 0.782 1979 1.064 1980 0.813 1981 1.055 1982 0.793 1983 0.845