# northamerica_usa_tn - Scotts Gap - 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: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_tn - Scotts Gap - 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. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Scotts Gap # Location: # Country: United States # Northernmost_Latitude: 35.6 # Southernmost_Latitude: 35.6 # Easternmost_Longitude: -83.92 # Westernmost_Longitude: -83.92 # Elevation: 520 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_tnB # Earliest_Year: 1744 # Most_Recent_Year: 1981 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"5.10946946135"}{"T2":"17.1239319723"}{"M1":"0.0230813214534"}{"M2":"0.607965004165"} #-------------------- # Species # Species_Name: tuliptree # Species_Code: LITU #-------------------- # 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 1744 1.187 1745 1.346 1746 1.104 1747 1.194 1748 1.202 1749 1.049 1750 1.294 1751 0.918 1752 0.611 1753 0.803 1754 1.172 1755 0.748 1756 0.879 1757 0.983 1758 0.658 1759 0.882 1760 0.827 1761 0.933 1762 0.702 1763 0.988 1764 0.858 1765 0.833 1766 0.597 1767 0.818 1768 0.992 1769 0.724 1770 0.747 1771 1.033 1772 0.774 1773 0.891 1774 0.168 1775 0.669 1776 0.547 1777 0.756 1778 0.586 1779 0.301 1780 0.94 1781 1.047 1782 1.451 1783 1.631 1784 0.513 1785 1.389 1786 1.207 1787 1.483 1788 1.171 1789 1.048 1790 0.69 1791 0.854 1792 0.944 1793 0.988 1794 0.99 1795 0.88 1796 1.505 1797 1.156 1798 1.145 1799 1.159 1800 1.315 1801 1.089 1802 1.556 1803 1.529 1804 1.424 1805 1.738 1806 1.717 1807 1.05 1808 0.773 1809 0.95 1810 1.144 1811 0.667 1812 0.535 1813 0.61 1814 1.034 1815 0.844 1816 1.193 1817 1.088 1818 1.029 1819 0.426 1820 1.051 1821 0.763 1822 0.781 1823 1.104 1824 1.373 1825 1.177 1826 0.908 1827 1.092 1828 0.894 1829 0.844 1830 1.571 1831 1.333 1832 1.301 1833 0.926 1834 0.834 1835 0.738 1836 0.787 1837 0.737 1838 0.587 1839 0.418 1840 0.697 1841 0.841 1842 0.808 1843 1.113 1844 0.934 1845 1.168 1846 1.005 1847 1.078 1848 1.288 1849 1.012 1850 0.727 1851 0.847 1852 1.102 1853 1.305 1854 0.179 1855 0.645 1856 0.926 1857 0.965 1858 1.142 1859 0.868 1860 1.138 1861 0.546 1862 0.919 1863 1.106 1864 0.814 1865 0.778 1866 1.011 1867 1.018 1868 0.831 1869 1.137 1870 0.839 1871 0.809 1872 0.587 1873 0.65 1874 0.244 1875 1.072 1876 1.067 1877 0.638 1878 0.92 1879 0.374 1880 0.58 1881 0.88 1882 0.925 1883 1.03 1884 0.954 1885 0.904 1886 0.945 1887 1.097 1888 0.778 1889 1.238 1890 1.35 1891 1.015 1892 1.452 1893 1.302 1894 1.103 1895 0.759 1896 0.897 1897 1.189 1898 0.54 1899 0.786 1900 1.002 1901 0.829 1902 0.87 1903 1.206 1904 1.086 1905 0.969 1906 1.178 1907 1.089 1908 0.909 1909 1.257 1910 1.231 1911 0.651 1912 1.294 1913 0.832 1914 0.458 1915 1.153 1916 1.821 1917 1.352 1918 1.11 1919 0.841 1920 0.93 1921 0.597 1922 1.564 1923 1.45 1924 1.083 1925 0.366 1926 0.616 1927 0.706 1928 1.265 1929 1.075 1930 0.59 1931 0.745 1932 0.772 1933 0.47 1934 0.685 1935 0.96 1936 0.261 1937 0.756 1938 1.015 1939 1.042 1940 0.87 1941 0.842 1942 1.06 1943 1.148 1944 0.385 1945 0.903 1946 1.15 1947 0.92 1948 0.746 1949 1.109 1950 1.199 1951 1.156 1952 0.964 1953 0.689 1954 0.704 1955 0.878 1956 0.76 1957 0.871 1958 1.04 1959 0.848 1960 1.091 1961 1.192 1962 1.069 1963 0.911 1964 0.825 1965 0.782 1966 0.825 1967 0.869 1968 1.298 1969 1.066 1970 0.825 1971 1.091 1972 1.512 1973 1.552 1974 1.631 1975 1.437 1976 1.225 1977 0.891 1978 1.042 1979 0.948 1980 0.905 1981 0.908