# northamerica_usa_nm032 - El Morro - 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_nm032 - El Morro - 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: El Morro # Location: # Country: United States # Northernmost_Latitude: 35.03 # Southernmost_Latitude: 35.03 # Easternmost_Longitude: -108.35 # Westernmost_Longitude: -108.35 # Elevation: 2225 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm032B # Earliest_Year: 1666 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.15078029302"}{"T2":"16.4629444054"}{"M1":"0.022791287969"}{"M2":"0.487516188673"} #-------------------- # 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 1666 0.517 1667 0.502 1668 0.466 1669 0.797 1670 0.898 1671 1.093 1672 1.577 1673 1.109 1674 0.897 1675 1.422 1676 0.683 1677 1.1 1678 0.658 1679 1.227 1680 1.94 1681 1.357 1682 1.47 1683 1.609 1684 0.58 1685 0.126 1686 1.001 1687 1.082 1688 1.093 1689 1.14 1690 1.358 1691 1.19 1692 1.591 1693 1.674 1694 1.484 1695 1.355 1696 0.638 1697 1.044 1698 0.57 1699 1.371 1700 0.726 1701 0.968 1702 0.697 1703 0.777 1704 0.325 1705 0.983 1706 1.292 1707 0.735 1708 0.619 1709 1.092 1710 1.198 1711 1.127 1712 1.182 1713 0.91 1714 0.886 1715 0.919 1716 0.506 1717 0.881 1718 1.291 1719 1.068 1720 1.714 1721 1.084 1722 1.403 1723 1.603 1724 0.655 1725 1.209 1726 1.387 1727 1.078 1728 0.2 1729 0.536 1730 1.164 1731 1.279 1732 1.446 1733 0.592 1734 1.257 1735 0.279 1736 1.295 1737 0.954 1738 1.262 1739 0.25 1740 0.799 1741 1.292 1742 1.184 1743 1.601 1744 0.652 1745 1.652 1746 1.736 1747 1.563 1748 0.259 1749 1.574 1750 0.73 1751 1.053 1752 0.553 1753 0.694 1754 1.25 1755 0.227 1756 0.275 1757 0.606 1758 0.961 1759 1.283 1760 0.923 1761 0.784 1762 1.188 1763 0.445 1764 0.93 1765 0.599 1766 0.828 1767 0.504 1768 0.934 1769 0.576 1770 0.959 1771 1.264 1772 0.499 1773 0.295 1774 0.955 1775 0.528 1776 0.78 1777 0.532 1778 0.65 1779 0.75 1780 0.566 1781 1.0 1782 0.686 1783 1.663 1784 1.935 1785 1.169 1786 1.104 1787 1.857 1788 0.928 1789 1.129 1790 0.969 1791 1.57 1792 1.611 1793 1.742 1794 1.204 1795 1.326 1796 0.907 1797 0.815 1798 0.823 1799 1.1 1800 0.582 1801 0.536 1802 0.727 1803 0.648 1804 1.345 1805 0.622 1806 -0.009 1807 1.313 1808 1.169 1809 1.269 1810 0.893 1811 1.161 1812 0.522 1813 1.113 1814 1.159 1815 1.243 1816 1.789 1817 1.45 1818 0.846 1819 0.258 1820 0.674 1821 1.041 1822 0.198 1823 0.412 1824 0.77 1825 1.033 1826 0.717 1827 1.028 1828 1.443 1829 0.462 1830 0.96 1831 1.115 1832 0.731 1833 1.381 1834 0.872 1835 0.747 1836 0.786 1837 0.846 1838 1.197 1839 1.576 1840 1.568 1841 1.358 1842 1.113 1843 0.56 1844 1.584 1845 0.842 1846 1.203 1847 -0.009 1848 1.153 1849 1.432 1850 1.008 1851 0.808 1852 0.918 1853 0.807 1854 0.822 1855 1.207 1856 1.104 1857 1.098 1858 1.164 1859 0.898 1860 0.781 1861 0.296 1862 0.911 1863 0.62 1864 0.256 1865 0.904 1866 1.179 1867 1.309 1868 1.565 1869 1.193 1870 1.195 1871 0.393 1872 0.193 1873 0.368 1874 1.05 1875 0.626 1876 0.646 1877 0.993 1878 0.746 1879 0.457 1880 0.182 1881 0.615 1882 0.949 1883 0.785 1884 1.008 1885 1.229 1886 0.646 1887 0.551 1888 1.111 1889 0.813 1890 0.0 1891 0.944 1892 0.942 1893 0.798 1894 0.558 1895 1.814 1896 0.826 1897 1.143 1898 1.249 1899 0.262 1900 0.197 1901 1.02 1902 0.855 1903 0.719 1904 0.241 1905 1.781 1906 1.744 1907 2.198 1908 1.898 1909 1.153 1910 1.173 1911 1.618 1912 1.597 1913 1.046 1914 1.52 1915 1.58 1916 1.473 1917 1.26 1918 1.005 1919 1.652 1920 1.829 1921 0.854 1922 0.657 1923 0.605 1924 0.85 1925 0.677 1926 1.058 1927 1.404 1928 0.934 1929 1.0 1930 1.247 1931 0.827 1932 1.334 1933 0.932 1934 1.097 1935 1.264 1936 1.094 1937 1.507 1938 1.061 1939 0.917 1940 1.275 1941 1.832 1942 1.287 1943 1.337 1944 0.948 1945 1.125 1946 0.799 1947 0.779 1948 1.657 1949 1.22 1950 0.9 1951 0.261 1952 0.784 1953 0.483 1954 0.741 1955 0.458 1956 0.63 1957 0.692 1958 0.905 1959 0.186 1960 1.285 1961 0.69 1962 1.035 1963 1.276 1964 1.045 1965 1.555 1966 1.163 1967 0.403 1968 1.197 1969 1.22 1970 0.828 1971 0.392 1972 0.677