# northamerica_usa_wa025 - Ross Lake - 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/2909 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa025 - Ross Lake - 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: Ross Lake # Location: # Country: United States # Northernmost_Latitude: 48.73 # Southernmost_Latitude: 48.73 # Easternmost_Longitude: -121.05 # Westernmost_Longitude: -121.05 # Elevation: 612 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa025B # Earliest_Year: 1627 # Most_Recent_Year: 1976 # 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":"4.83633920085","T2":"12.254041573","M1":"0.0228722906363","M2":"0.56030699156"}} #-------------------- # 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 1627 0.737 1628 0.985 1629 0.829 1630 0.813 1631 0.975 1632 0.982 1633 0.958 1634 0.706 1635 0.819 1636 0.951 1637 0.887 1638 0.839 1639 0.921 1640 1.049 1641 0.887 1642 0.923 1643 0.86 1644 0.779 1645 0.876 1646 0.759 1647 0.724 1648 0.906 1649 0.779 1650 0.791 1651 0.781 1652 0.803 1653 0.594 1654 0.909 1655 0.683 1656 0.761 1657 1.003 1658 0.944 1659 0.893 1660 0.765 1661 0.665 1662 1.345 1663 0.962 1664 0.879 1665 0.687 1666 0.905 1667 0.718 1668 0.724 1669 0.885 1670 0.99 1671 1.044 1672 1.011 1673 0.814 1674 0.794 1675 1.086 1676 1.032 1677 0.675 1678 0.829 1679 0.842 1680 0.809 1681 1.055 1682 1.014 1683 0.918 1684 0.999 1685 0.892 1686 0.814 1687 0.706 1688 0.728 1689 0.881 1690 0.97 1691 0.851 1692 1.31 1693 1.148 1694 1.27 1695 0.82 1696 0.853 1697 1.354 1698 0.96 1699 1.268 1700 1.353 1701 1.159 1702 1.191 1703 1.369 1704 1.192 1705 0.83 1706 0.887 1707 0.951 1708 0.869 1709 1.109 1710 0.791 1711 0.982 1712 1.007 1713 0.743 1714 1.029 1715 0.877 1716 0.854 1717 0.652 1718 0.939 1719 0.933 1720 0.881 1721 0.824 1722 0.895 1723 0.902 1724 0.958 1725 0.947 1726 0.924 1727 0.972 1728 0.852 1729 0.973 1730 0.816 1731 0.899 1732 1.171 1733 1.447 1734 1.203 1735 1.489 1736 1.119 1737 1.475 1738 1.853 1739 1.413 1740 1.29 1741 1.252 1742 1.227 1743 1.036 1744 1.021 1745 0.982 1746 0.912 1747 1.274 1748 1.257 1749 1.48 1750 1.347 1751 1.401 1752 1.593 1753 1.139 1754 1.21 1755 1.312 1756 0.936 1757 0.943 1758 0.925 1759 1.018 1760 1.031 1761 1.154 1762 1.082 1763 0.918 1764 0.781 1765 0.96 1766 1.003 1767 0.703 1768 0.663 1769 0.925 1770 1.088 1771 0.777 1772 0.932 1773 0.905 1774 1.086 1775 1.058 1776 0.937 1777 1.058 1778 0.887 1779 1.06 1780 1.178 1781 1.144 1782 1.007 1783 1.153 1784 1.129 1785 1.057 1786 1.001 1787 0.729 1788 0.97 1789 1.183 1790 1.105 1791 1.141 1792 1.317 1793 1.517 1794 1.417 1795 1.065 1796 1.008 1797 0.933 1798 1.097 1799 0.728 1800 0.794 1801 0.954 1802 0.911 1803 0.754 1804 1.09 1805 0.914 1806 0.744 1807 0.769 1808 0.924 1809 0.794 1810 0.78 1811 0.905 1812 0.746 1813 0.811 1814 0.893 1815 0.86 1816 0.851 1817 0.869 1818 1.051 1819 1.123 1820 1.047 1821 0.675 1822 0.906 1823 0.71 1824 0.739 1825 0.969 1826 0.854 1827 0.876 1828 0.737 1829 0.926 1830 0.694 1831 0.598 1832 0.993 1833 0.985 1834 0.669 1835 0.652 1836 0.573 1837 0.627 1838 0.812 1839 0.967 1840 0.752 1841 1.036 1842 0.821 1843 0.778 1844 0.886 1845 1.172 1846 1.09 1847 0.812 1848 0.919 1849 0.692 1850 0.735 1851 0.844 1852 0.732 1853 0.903 1854 0.855 1855 1.065 1856 1.128 1857 0.926 1858 1.088 1859 1.017 1860 0.976 1861 1.369 1862 0.955 1863 1.119 1864 1.059 1865 1.14 1866 1.091 1867 0.909 1868 1.073 1869 0.919 1870 0.942 1871 0.851 1872 0.887 1873 0.97 1874 0.791 1875 1.13 1876 0.903 1877 0.981 1878 1.012 1879 0.929 1880 0.881 1881 1.063 1882 0.917 1883 0.965 1884 1.057 1885 1.101 1886 1.046 1887 1.227 1888 1.066 1889 1.477 1890 1.094 1891 1.205 1892 1.344 1893 1.069 1894 1.23 1895 1.309 1896 1.168 1897 0.918 1898 0.942 1899 0.945 1900 1.762 1901 1.474 1902 1.062 1903 1.204 1904 1.058 1905 0.945 1906 1.121 1907 1.015 1908 0.87 1909 0.89 1910 0.942 1911 0.9 1912 0.713 1913 0.892 1914 0.86 1915 0.787 1916 0.964 1917 0.866 1918 0.641 1919 0.83 1920 0.863 1921 0.871 1922 0.659 1923 0.824 1924 0.619 1925 0.518 1926 0.503 1927 0.625 1928 0.657 1929 0.657 1930 0.612 1931 0.707 1932 0.705 1933 0.844 1934 0.886 1935 0.962 1936 1.023 1937 1.105 1938 0.845 1939 0.772 1940 0.956 1941 0.876 1942 0.989 1943 1.024 1944 0.96 1945 0.918 1946 0.978 1947 0.932 1948 1.134 1949 1.033 1950 1.191 1951 0.963 1952 1.017 1953 1.035 1954 1.055 1955 1.364 1956 1.118 1957 1.041 1958 1.087 1959 0.973 1960 1.084 1961 1.08 1962 1.003 1963 1.201 1964 1.29 1965 0.963 1966 1.028 1967 1.039 1968 1.144 1969 1.454 1970 1.126 1971 1.003 1972 1.158 1973 1.043 1974 1.003 1975 0.791 1976 0.573