# northamerica_usa_nm028 - Mount Taylor - 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_nm028 - Mount Taylor - 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: Mount Taylor # Location: # Country: United States # Northernmost_Latitude: 35.23 # Southernmost_Latitude: 35.23 # Easternmost_Longitude: -107.68 # Westernmost_Longitude: -107.68 # Elevation: 2347 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm028B # Earliest_Year: 1740 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.9880013358"}{"T2":"16.4915276567"}{"M1":"0.0235414250065"}{"M2":"0.49061384119"} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1740 0.808 1741 0.72 1742 0.392 1743 1.002 1744 0.864 1745 1.092 1746 1.749 1747 1.439 1748 0.393 1749 1.28 1750 0.991 1751 1.752 1752 0.66 1753 1.192 1754 1.432 1755 0.748 1756 0.788 1757 0.754 1758 1.196 1759 1.277 1760 0.896 1761 1.047 1762 0.844 1763 0.568 1764 1.007 1765 1.12 1766 1.165 1767 1.309 1768 1.294 1769 1.09 1770 1.118 1771 1.576 1772 1.261 1773 0.752 1774 0.619 1775 0.599 1776 0.586 1777 0.723 1778 1.146 1779 0.617 1780 0.371 1781 0.807 1782 0.837 1783 1.091 1784 1.566 1785 1.012 1786 0.952 1787 1.206 1788 0.885 1789 0.948 1790 1.303 1791 1.506 1792 1.391 1793 2.111 1794 1.359 1795 1.161 1796 0.913 1797 0.807 1798 1.062 1799 1.13 1800 1.191 1801 0.994 1802 0.931 1803 1.18 1804 0.921 1805 1.089 1806 0.616 1807 1.104 1808 0.885 1809 1.113 1810 0.944 1811 1.232 1812 0.785 1813 0.839 1814 0.695 1815 1.118 1816 1.635 1817 1.143 1818 0.693 1819 1.031 1820 0.829 1821 0.645 1822 0.329 1823 0.526 1824 0.398 1825 0.801 1826 0.279 1827 0.744 1828 1.179 1829 0.413 1830 1.291 1831 1.167 1832 1.306 1833 1.397 1834 1.242 1835 1.19 1836 1.1 1837 1.019 1838 1.237 1839 1.583 1840 1.285 1841 1.582 1842 0.46 1843 0.627 1844 1.304 1845 0.993 1846 1.288 1847 0.604 1848 1.224 1849 1.231 1850 0.965 1851 0.715 1852 1.083 1853 0.842 1854 0.807 1855 1.017 1856 0.729 1857 0.494 1858 1.127 1859 0.384 1860 0.979 1861 0.283 1862 0.424 1863 0.741 1864 0.72 1865 0.646 1866 1.152 1867 1.132 1868 1.624 1869 1.61 1870 1.309 1871 1.019 1872 1.293 1873 0.806 1874 1.003 1875 1.034 1876 0.968 1877 1.5 1878 0.981 1879 0.638 1880 0.339 1881 0.558 1882 1.12 1883 0.429 1884 0.894 1885 1.098 1886 0.754 1887 1.244 1888 0.866 1889 0.777 1890 0.915 1891 0.918 1892 0.626 1893 0.528 1894 0.46 1895 0.893 1896 0.3 1897 1.183 1898 1.027 1899 0.289 1900 0.596 1901 0.851 1902 0.529 1903 1.136 1904 0.327 1905 1.458 1906 1.009 1907 1.706 1908 1.777 1909 1.323 1910 1.452 1911 1.83 1912 1.483 1913 0.81 1914 1.556 1915 1.605 1916 1.255 1917 1.438 1918 0.9 1919 1.407 1920 1.398 1921 1.046 1922 0.689 1923 0.818 1924 1.145 1925 0.158 1926 1.303 1927 1.071 1928 0.874 1929 0.851 1930 1.492 1931 1.325 1932 1.245 1933 1.151 1934 0.904 1935 1.497 1936 1.397 1937 1.203 1938 0.838 1939 0.771 1940 1.084 1941 1.7 1942 0.759 1943 0.65 1944 0.968 1945 0.804 1946 0.461 1947 0.959 1948 0.877 1949 1.127 1950 0.614 1951 0.45 1952 0.697 1953 0.65 1954 0.648 1955 0.684 1956 0.708 1957 0.755 1958 0.698 1959 0.357 1960 0.774 1961 0.941 1962 0.802 1963 0.61 1964 1.006 1965 1.37 1966 0.71 1967 0.725 1968 0.877 1969 0.974 1970 1.495 1971 1.382 1972 1.733