# northamerica_usa_wa062 - The Dalles - 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/3333 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa062 - The Dalles - 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: The Dalles # Location: # Country: United States # Northernmost_Latitude: 47.07 # Southernmost_Latitude: 47.07 # Easternmost_Longitude: -121.57 # Westernmost_Longitude: -121.57 # Elevation: 790 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa062B # Earliest_Year: 1641 # Most_Recent_Year: 1980 # 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":"5.39913371031","T2":"15.3869417758","M1":"0.0226109564663","M2":"0.484336378487"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1641 0.91 1642 0.725 1643 0.635 1644 0.522 1645 0.565 1646 0.627 1647 0.552 1648 0.71 1649 0.58 1650 0.596 1651 0.774 1652 0.659 1653 0.547 1654 0.762 1655 0.721 1656 0.593 1657 0.477 1658 0.525 1659 0.629 1660 0.605 1661 0.743 1662 0.665 1663 0.569 1664 0.528 1665 0.425 1666 0.684 1667 0.628 1668 0.558 1669 0.59 1670 0.475 1671 0.506 1672 0.635 1673 0.435 1674 0.442 1675 0.627 1676 0.485 1677 0.37 1678 0.718 1679 0.54 1680 0.628 1681 0.842 1682 0.952 1683 0.862 1684 0.737 1685 0.914 1686 0.784 1687 1.038 1688 0.765 1689 0.782 1690 0.589 1691 0.771 1692 0.752 1693 0.716 1694 0.868 1695 0.814 1696 0.769 1697 1.06 1698 0.897 1699 1.179 1700 1.192 1701 0.768 1702 0.899 1703 0.974 1704 0.966 1705 0.715 1706 0.86 1707 1.06 1708 0.998 1709 1.132 1710 1.263 1711 1.258 1712 1.272 1713 1.158 1714 1.398 1715 1.492 1716 1.238 1717 0.902 1718 1.049 1719 1.348 1720 1.093 1721 1.012 1722 1.443 1723 1.497 1724 1.248 1725 1.262 1726 1.219 1727 1.154 1728 0.928 1729 1.205 1730 1.056 1731 1.242 1732 1.455 1733 1.384 1734 0.953 1735 1.262 1736 0.897 1737 1.181 1738 1.563 1739 0.875 1740 1.206 1741 1.111 1742 1.227 1743 1.161 1744 0.968 1745 0.953 1746 0.826 1747 1.043 1748 0.837 1749 1.177 1750 1.197 1751 1.162 1752 1.385 1753 1.108 1754 0.932 1755 1.081 1756 0.981 1757 1.006 1758 0.997 1759 0.968 1760 1.165 1761 1.163 1762 1.249 1763 1.256 1764 0.834 1765 1.279 1766 1.188 1767 0.94 1768 0.948 1769 0.893 1770 1.277 1771 1.36 1772 1.167 1773 1.65 1774 1.319 1775 1.137 1776 0.848 1777 1.108 1778 1.118 1779 1.071 1780 1.018 1781 0.92 1782 0.824 1783 0.578 1784 0.639 1785 0.877 1786 1.087 1787 0.741 1788 1.143 1789 1.134 1790 0.739 1791 0.721 1792 1.19 1793 1.431 1794 0.944 1795 0.849 1796 0.805 1797 0.715 1798 0.948 1799 0.836 1800 0.918 1801 1.171 1802 1.191 1803 1.405 1804 1.347 1805 1.36 1806 1.254 1807 1.043 1808 1.113 1809 0.681 1810 0.932 1811 0.996 1812 0.881 1813 0.871 1814 1.1 1815 0.95 1816 1.012 1817 1.03 1818 0.978 1819 1.119 1820 0.972 1821 0.663 1822 1.135 1823 0.993 1824 0.939 1825 1.23 1826 1.042 1827 0.866 1828 0.71 1829 1.164 1830 1.097 1831 0.828 1832 1.261 1833 1.266 1834 1.081 1835 1.08 1836 0.801 1837 0.983 1838 1.161 1839 1.36 1840 0.971 1841 0.798 1842 0.845 1843 0.903 1844 1.165 1845 1.091 1846 1.273 1847 0.699 1848 0.926 1849 0.618 1850 0.608 1851 0.963 1852 0.729 1853 0.714 1854 0.781 1855 1.035 1856 0.815 1857 0.705 1858 0.907 1859 0.788 1860 1.155 1861 1.28 1862 0.828 1863 0.875 1864 0.837 1865 0.899 1866 0.96 1867 0.978 1868 1.22 1869 1.143 1870 1.313 1871 0.988 1872 0.992 1873 0.976 1874 0.765 1875 1.074 1876 1.192 1877 1.425 1878 1.26 1879 1.153 1880 0.844 1881 0.867 1882 1.038 1883 0.835 1884 0.775 1885 0.868 1886 1.112 1887 1.004 1888 1.314 1889 1.047 1890 0.871 1891 1.045 1892 1.274 1893 1.228 1894 1.164 1895 0.728 1896 0.844 1897 0.703 1898 0.867 1899 0.852 1900 1.321 1901 1.131 1902 1.035 1903 1.085 1904 1.16 1905 1.128 1906 0.737 1907 0.785 1908 0.914 1909 0.817 1910 0.701 1911 0.939 1912 1.066 1913 1.173 1914 1.036 1915 1.008 1916 1.057 1917 0.964 1918 0.799 1919 0.94 1920 0.993 1921 0.998 1922 0.759 1923 0.699 1924 0.743 1925 0.782 1926 0.778 1927 0.775 1928 0.927 1929 0.837 1930 0.725 1931 0.92 1932 0.874 1933 1.012 1934 1.097 1935 1.061 1936 0.849 1937 0.857 1938 0.98 1939 0.694 1940 1.033 1941 1.063 1942 1.347 1943 1.299 1944 1.317 1945 1.135 1946 1.094 1947 1.057 1948 1.368 1949 0.924 1950 1.384 1951 1.08 1952 0.746 1953 0.952 1954 0.962 1955 1.254 1956 0.711 1957 0.816 1958 1.179 1959 0.856 1960 0.878 1961 0.943 1962 0.516 1963 0.823 1964 0.986 1965 0.912 1966 0.754 1967 0.906 1968 0.69 1969 0.904 1970 1.089 1971 0.701 1972 0.93 1973 1.039 1974 0.905 1975 0.769 1976 1.124 1977 1.3 1978 1.193 1979 0.901 1980 -0.019