# northamerica_usa_il013 - Ferne Clyffe State Park - 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/3156 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_il013 - Ferne Clyffe State Park - 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: Ferne Clyffe State Park # Location: # Country: United States # Northernmost_Latitude: 37.53 # Southernmost_Latitude: 37.53 # Easternmost_Longitude: -88.98 # Westernmost_Longitude: -88.98 # Elevation: 183 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_il013B # Earliest_Year: 1680 # Most_Recent_Year: 1981 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.33053915053","T2":"17.3333135241","M1":"0.0224296522844","M2":"0.537385526423"}} #-------------------- # Species # Species_Name: white oak # Species_Code: QUAL #-------------------- # 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 1680 0.549 1681 0.838 1682 1.035 1683 1.157 1684 1.169 1685 1.075 1686 0.898 1687 0.77 1688 0.871 1689 0.861 1690 0.861 1691 0.888 1692 0.913 1693 0.598 1694 0.922 1695 0.707 1696 0.504 1697 0.572 1698 0.986 1699 1.099 1700 1.517 1701 1.946 1702 1.709 1703 1.255 1704 1.353 1705 1.285 1706 1.009 1707 1.209 1708 0.751 1709 0.925 1710 0.817 1711 1.263 1712 1.085 1713 1.165 1714 1.12 1715 1.016 1716 1.462 1717 1.098 1718 1.069 1719 0.867 1720 0.833 1721 0.846 1722 0.808 1723 0.747 1724 0.719 1725 0.817 1726 1.014 1727 1.027 1728 0.68 1729 1.266 1730 1.143 1731 0.755 1732 0.83 1733 0.693 1734 0.769 1735 0.619 1736 0.497 1737 0.584 1738 0.687 1739 0.915 1740 0.987 1741 1.045 1742 0.89 1743 0.788 1744 0.789 1745 0.985 1746 0.747 1747 0.826 1748 0.909 1749 0.647 1750 0.81 1751 0.788 1752 0.756 1753 0.647 1754 0.551 1755 0.56 1756 0.75 1757 0.847 1758 1.203 1759 1.5 1760 1.397 1761 1.235 1762 0.793 1763 0.963 1764 1.062 1765 1.104 1766 1.063 1767 0.816 1768 1.15 1769 1.074 1770 0.98 1771 0.947 1772 0.956 1773 0.727 1774 0.503 1775 1.067 1776 1.413 1777 0.819 1778 1.535 1779 1.263 1780 1.594 1781 1.535 1782 1.113 1783 1.271 1784 0.957 1785 0.829 1786 0.922 1787 1.098 1788 0.974 1789 0.817 1790 0.926 1791 1.184 1792 0.994 1793 0.68 1794 0.834 1795 1.179 1796 1.195 1797 1.219 1798 1.097 1799 0.818 1800 1.029 1801 1.05 1802 1.206 1803 0.758 1804 0.87 1805 0.982 1806 0.681 1807 0.808 1808 0.908 1809 0.822 1810 0.725 1811 0.803 1812 0.868 1813 0.829 1814 0.858 1815 0.639 1816 0.611 1817 0.913 1818 0.991 1819 1.223 1820 0.874 1821 0.989 1822 0.958 1823 1.073 1824 0.981 1825 0.91 1826 0.765 1827 1.214 1828 1.059 1829 0.844 1830 1.097 1831 1.099 1832 0.931 1833 1.048 1834 0.581 1835 0.835 1836 0.988 1837 1.026 1838 0.905 1839 0.863 1840 1.254 1841 0.742 1842 0.969 1843 0.937 1844 1.119 1845 1.127 1846 1.163 1847 0.881 1848 0.989 1849 0.781 1850 0.821 1851 0.822 1852 0.965 1853 0.808 1854 1.021 1855 0.923 1856 0.959 1857 0.892 1858 0.899 1859 0.807 1860 0.904 1861 0.869 1862 0.905 1863 0.962 1864 0.778 1865 0.861 1866 1.018 1867 0.846 1868 0.907 1869 1.146 1870 0.993 1871 0.903 1872 0.872 1873 1.05 1874 0.698 1875 1.182 1876 1.31 1877 1.041 1878 0.882 1879 0.868 1880 1.093 1881 1.039 1882 1.416 1883 1.261 1884 1.187 1885 0.899 1886 0.855 1887 0.81 1888 0.993 1889 1.241 1890 0.94 1891 1.175 1892 1.318 1893 1.089 1894 1.001 1895 1.234 1896 0.945 1897 1.1 1898 1.257 1899 1.229 1900 1.155 1901 0.797 1902 1.103 1903 1.267 1904 1.228 1905 1.094 1906 1.041 1907 1.424 1908 1.149 1909 1.125 1910 1.428 1911 0.843 1912 1.511 1913 0.96 1914 0.794 1915 1.433 1916 1.193 1917 1.08 1918 0.785 1919 1.152 1920 1.003 1921 0.898 1922 1.084 1923 1.167 1924 1.338 1925 1.006 1926 0.78 1927 1.125 1928 1.236 1929 1.132 1930 0.821 1931 0.889 1932 1.006 1933 0.935 1934 0.731 1935 1.35 1936 0.707 1937 1.183 1938 1.36 1939 0.954 1940 0.964 1941 0.763 1942 1.338 1943 1.146 1944 0.812 1945 1.272 1946 1.074 1947 1.027 1948 1.04 1949 1.096 1950 1.005 1951 1.134 1952 0.749 1953 0.749 1954 0.761 1955 1.146 1956 0.809 1957 1.085 1958 1.051 1959 0.901 1960 0.977 1961 0.946 1962 0.853 1963 0.883 1964 0.806 1965 0.907 1966 0.835 1967 0.948 1968 1.136 1969 0.908 1970 0.92 1971 0.783 1972 0.667 1973 1.027 1974 0.976 1975 0.82 1976 1.105 1977 0.781 1978 0.833 1979 0.873 1980 0.903 1981 0.696