# northamerica_usa_wa063 - Chinook Pass - 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/3304 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa063 - Chinook Pass - 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: Chinook Pass # Location: # Country: United States # Northernmost_Latitude: 46.85 # Southernmost_Latitude: 46.85 # Easternmost_Longitude: -121.5 # Westernmost_Longitude: -121.5 # Elevation: 1660 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa063B # Earliest_Year: 1635 # Most_Recent_Year: 1979 # 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":"4.16431786854","T2":"18.9311850057","M1":"0.0226076390912","M2":"0.320839890822"}} #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # 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 1635 0.927 1636 1.109 1637 1.052 1638 1.286 1639 1.058 1640 1.072 1641 0.595 1642 1.32 1643 1.026 1644 1.144 1645 1.461 1646 1.436 1647 1.199 1648 1.084 1649 1.313 1650 1.066 1651 1.42 1652 1.188 1653 0.898 1654 1.053 1655 1.038 1656 1.012 1657 1.022 1658 1.072 1659 0.973 1660 1.149 1661 1.403 1662 0.952 1663 1.12 1664 1.256 1665 1.782 1666 1.541 1667 1.439 1668 0.846 1669 1.445 1670 1.11 1671 1.195 1672 1.134 1673 1.216 1674 1.157 1675 1.124 1676 0.867 1677 1.102 1678 1.143 1679 1.204 1680 1.215 1681 1.263 1682 1.311 1683 1.208 1684 0.928 1685 0.946 1686 0.982 1687 1.251 1688 0.907 1689 1.05 1690 0.994 1691 0.961 1692 1.069 1693 0.994 1694 0.851 1695 1.157 1696 0.718 1697 0.629 1698 0.841 1699 0.799 1700 0.864 1701 0.746 1702 1.036 1703 0.854 1704 1.049 1705 1.361 1706 1.087 1707 0.784 1708 0.841 1709 0.523 1710 0.988 1711 0.855 1712 1.184 1713 1.106 1714 1.033 1715 0.445 1716 1.102 1717 1.283 1718 1.196 1719 1.063 1720 0.821 1721 1.099 1722 0.66 1723 0.859 1724 0.834 1725 0.821 1726 1.057 1727 1.165 1728 1.048 1729 1.13 1730 0.868 1731 0.879 1732 0.989 1733 0.947 1734 0.933 1735 1.067 1736 1.05 1737 0.957 1738 0.839 1739 1.037 1740 1.124 1741 1.454 1742 0.983 1743 1.266 1744 1.018 1745 1.244 1746 1.087 1747 1.176 1748 1.031 1749 1.027 1750 1.073 1751 0.979 1752 0.429 1753 0.589 1754 0.704 1755 0.612 1756 1.282 1757 0.868 1758 0.91 1759 0.751 1760 0.742 1761 0.675 1762 0.684 1763 0.93 1764 1.063 1765 0.996 1766 1.022 1767 1.112 1768 1.047 1769 1.154 1770 1.206 1771 1.162 1772 0.908 1773 1.098 1774 1.191 1775 0.681 1776 1.121 1777 1.165 1778 1.128 1779 0.949 1780 1.031 1781 0.911 1782 1.064 1783 1.311 1784 0.954 1785 0.883 1786 0.806 1787 0.786 1788 0.949 1789 0.758 1790 1.036 1791 1.234 1792 1.362 1793 1.315 1794 1.511 1795 1.238 1796 1.299 1797 0.744 1798 1.214 1799 1.122 1800 1.158 1801 0.832 1802 0.874 1803 1.069 1804 1.069 1805 1.116 1806 0.789 1807 0.894 1808 0.696 1809 0.902 1810 0.4 1811 0.653 1812 0.864 1813 0.932 1814 1.167 1815 1.095 1816 1.229 1817 1.261 1818 1.137 1819 0.749 1820 0.809 1821 0.91 1822 0.934 1823 1.113 1824 0.919 1825 1.251 1826 1.043 1827 1.019 1828 0.948 1829 1.126 1830 0.924 1831 0.873 1832 0.703 1833 0.928 1834 1.232 1835 0.937 1836 0.75 1837 0.93 1838 0.63 1839 1.127 1840 0.517 1841 0.695 1842 0.892 1843 1.19 1844 1.057 1845 0.883 1846 1.1 1847 0.693 1848 1.108 1849 0.507 1850 0.525 1851 0.978 1852 0.836 1853 0.8 1854 0.88 1855 0.908 1856 0.546 1857 0.929 1858 0.96 1859 0.917 1860 0.792 1861 0.826 1862 0.599 1863 1.218 1864 0.717 1865 0.911 1866 0.3 1867 0.497 1868 0.754 1869 0.853 1870 0.639 1871 0.574 1872 0.833 1873 1.012 1874 0.931 1875 0.663 1876 0.618 1877 0.963 1878 0.928 1879 0.813 1880 0.603 1881 0.79 1882 0.823 1883 0.79 1884 0.877 1885 1.033 1886 1.082 1887 0.667 1888 0.931 1889 1.152 1890 1.147 1891 1.119 1892 0.881 1893 0.742 1894 0.813 1895 1.235 1896 0.769 1897 0.994 1898 1.07 1899 0.58 1900 0.938 1901 1.134 1902 1.028 1903 1.025 1904 1.435 1905 1.551 1906 0.929 1907 0.976 1908 0.868 1909 0.836 1910 1.099 1911 1.079 1912 0.917 1913 1.041 1914 1.439 1915 1.292 1916 0.585 1917 0.802 1918 1.025 1919 0.915 1920 1.022 1921 0.899 1922 1.152 1923 1.05 1924 1.03 1925 0.956 1926 1.187 1927 0.952 1928 1.025 1929 1.268 1930 1.225 1931 1.19 1932 0.958 1933 0.988 1934 1.279 1935 1.258 1936 1.075 1937 0.864 1938 1.037 1939 1.071 1940 1.16 1941 1.243 1942 1.068 1943 1.086 1944 1.371 1945 1.222 1946 0.954 1947 1.237 1948 1.629 1949 1.248 1950 1.317 1951 1.487 1952 1.273 1953 0.939 1954 0.718 1955 0.949 1956 0.718 1957 1.058 1958 1.327 1959 0.936 1960 1.165 1961 1.042 1962 0.904 1963 1.031 1964 0.958 1965 0.925 1966 1.227 1967 1.194 1968 0.939 1969 0.697 1970 0.869 1971 0.684 1972 0.702 1973 0.784 1974 0.551 1975 0.763 1976 0.703 1977 1.194 1978 0.774 1979 0.757