# northamerica_usa_co549 - Timberline 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/3414 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co549 - Timberline 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: Timberline Pass # Location: # Country: United States # Northernmost_Latitude: 40.37 # Southernmost_Latitude: 40.37 # Easternmost_Longitude: -105.67 # Westernmost_Longitude: -105.67 # Elevation: 3505 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co549B # Earliest_Year: 1653 # Most_Recent_Year: 1987 # 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":"5.33387638414","T2":"17.0759547327","M1":"0.0222669580146","M2":"0.394479671603"}} #-------------------- # 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 1653 0.926 1654 0.953 1655 1.056 1656 0.859 1657 0.799 1658 0.801 1659 0.745 1660 0.856 1661 1.022 1662 0.927 1663 0.795 1664 0.615 1665 0.611 1666 0.776 1667 0.719 1668 0.605 1669 0.719 1670 0.675 1671 0.696 1672 0.75 1673 0.659 1674 0.894 1675 1.048 1676 0.955 1677 0.69 1678 0.629 1679 0.89 1680 0.933 1681 1.161 1682 1.296 1683 1.186 1684 1.143 1685 1.163 1686 1.105 1687 0.898 1688 1.029 1689 1.213 1690 1.22 1691 0.923 1692 1.167 1693 1.117 1694 1.065 1695 1.079 1696 1.039 1697 0.997 1698 1.145 1699 1.012 1700 0.99 1701 1.161 1702 1.092 1703 1.204 1704 0.922 1705 0.931 1706 0.932 1707 0.824 1708 0.924 1709 0.916 1710 1.231 1711 1.119 1712 1.086 1713 0.971 1714 0.967 1715 1.17 1716 0.88 1717 1.039 1718 1.04 1719 1.035 1720 1.11 1721 1.071 1722 1.011 1723 0.88 1724 1.102 1725 0.95 1726 1.151 1727 1.078 1728 1.014 1729 0.879 1730 1.007 1731 1.094 1732 1.039 1733 1.149 1734 1.153 1735 0.92 1736 0.737 1737 0.996 1738 1.07 1739 1.135 1740 0.831 1741 0.812 1742 0.827 1743 0.939 1744 0.966 1745 0.926 1746 0.982 1747 1.189 1748 0.885 1749 1.04 1750 1.137 1751 0.978 1752 0.91 1753 1.147 1754 1.072 1755 0.884 1756 0.908 1757 0.963 1758 0.836 1759 0.865 1760 0.815 1761 0.704 1762 1.217 1763 0.745 1764 0.78 1765 1.065 1766 0.892 1767 1.097 1768 0.91 1769 0.697 1770 0.702 1771 1.024 1772 1.005 1773 1.113 1774 1.044 1775 1.13 1776 0.82 1777 0.856 1778 0.785 1779 0.649 1780 0.951 1781 0.781 1782 0.718 1783 0.827 1784 0.874 1785 0.954 1786 0.692 1787 0.883 1788 0.884 1789 0.704 1790 0.706 1791 0.681 1792 1.128 1793 0.87 1794 0.839 1795 1.072 1796 1.113 1797 1.171 1798 1.174 1799 1.288 1800 1.188 1801 1.219 1802 1.174 1803 1.139 1804 1.229 1805 0.992 1806 1.118 1807 1.09 1808 0.975 1809 0.862 1810 0.911 1811 1.104 1812 1.252 1813 1.063 1814 1.134 1815 1.203 1816 1.134 1817 1.151 1818 1.224 1819 1.263 1820 0.848 1821 0.993 1822 0.953 1823 0.953 1824 0.744 1825 1.071 1826 1.026 1827 1.159 1828 1.272 1829 1.354 1830 1.031 1831 1.121 1832 1.17 1833 1.442 1834 1.159 1835 0.91 1836 0.826 1837 1.241 1838 1.067 1839 0.905 1840 0.921 1841 1.155 1842 0.978 1843 1.301 1844 1.061 1845 0.693 1846 0.775 1847 0.483 1848 0.599 1849 0.864 1850 0.946 1851 0.707 1852 0.727 1853 0.85 1854 0.804 1855 0.931 1856 0.951 1857 0.824 1858 1.055 1859 1.314 1860 1.261 1861 1.123 1862 0.995 1863 1.082 1864 0.969 1865 0.961 1866 1.263 1867 1.591 1868 1.109 1869 1.109 1870 1.135 1871 1.143 1872 0.924 1873 1.313 1874 1.358 1875 1.167 1876 1.632 1877 1.18 1878 0.993 1879 0.952 1880 0.784 1881 1.23 1882 0.707 1883 0.802 1884 0.853 1885 1.121 1886 1.105 1887 0.898 1888 1.107 1889 1.021 1890 0.782 1891 0.801 1892 1.163 1893 0.797 1894 1.035 1895 0.89 1896 1.132 1897 1.107 1898 1.306 1899 1.051 1900 1.253 1901 1.122 1902 0.769 1903 0.997 1904 0.774 1905 1.051 1906 0.712 1907 1.123 1908 1.004 1909 1.203 1910 1.019 1911 0.91 1912 1.149 1913 1.183 1914 1.301 1915 1.078 1916 1.229 1917 1.38 1918 1.241 1919 1.253 1920 0.977 1921 1.034 1922 0.901 1923 0.891 1924 1.011 1925 0.836 1926 0.923 1927 1.069 1928 1.097 1929 1.346 1930 1.161 1931 1.085 1932 0.953 1933 1.044 1934 0.787 1935 0.764 1936 0.915 1937 0.786 1938 0.701 1939 0.789 1940 0.859 1941 0.684 1942 0.879 1943 0.9 1944 0.716 1945 0.774 1946 0.881 1947 0.918 1948 0.778 1949 0.864 1950 0.806 1951 1.271 1952 0.989 1953 0.819 1954 0.691 1955 0.758 1956 0.783 1957 0.85 1958 0.875 1959 0.715 1960 0.885 1961 0.919 1962 1.031 1963 1.058 1964 1.097 1965 1.166 1966 1.275 1967 0.836 1968 0.955 1969 0.974 1970 0.826 1971 0.875 1972 0.856 1973 1.058 1974 1.122 1975 1.169 1976 0.899 1977 0.968 1978 0.828 1979 1.042 1980 0.936 1981 0.878 1982 0.765 1983 0.984 1984 0.919 1985 0.953 1986 1.024 1987 1.34