# northamerica_usa_co615 - Piceance - 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_co615 - Piceance - 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: Piceance # Location: # Country: United States # Northernmost_Latitude: 40.05 # Southernmost_Latitude: 40.05 # Easternmost_Longitude: -108.3 # Westernmost_Longitude: -108.3 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co615B # Earliest_Year: 1600 # Most_Recent_Year: 2001 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.86915357806"}{"T2":"16.7955544969"}{"M1":"0.0223204927427"}{"M2":"0.459072325609"} #-------------------- # 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 1600 0.508 1601 0.876 1602 0.825 1603 1.353 1604 1.301 1605 1.196 1606 1.003 1607 0.574 1608 0.825 1609 1.05 1610 0.943 1611 1.093 1612 0.863 1613 0.988 1614 1.392 1615 1.701 1616 1.347 1617 1.25 1618 1.078 1619 1.15 1620 1.216 1621 1.581 1622 1.065 1623 0.986 1624 0.766 1625 1.106 1626 0.736 1627 0.831 1628 0.97 1629 0.937 1630 0.964 1631 0.909 1632 1.059 1633 1.387 1634 0.672 1635 0.857 1636 1.183 1637 0.827 1638 0.802 1639 1.174 1640 1.002 1641 1.147 1642 1.35 1643 1.145 1644 0.832 1645 0.586 1646 0.844 1647 1.04 1648 0.984 1649 1.171 1650 1.069 1651 1.021 1652 1.335 1653 0.818 1654 0.704 1655 1.343 1656 1.128 1657 0.968 1658 0.965 1659 0.956 1660 0.941 1661 0.977 1662 1.087 1663 0.905 1664 1.188 1665 0.902 1666 0.718 1667 0.822 1668 0.744 1669 1.208 1670 0.848 1671 0.684 1672 1.111 1673 1.266 1674 1.476 1675 1.163 1676 1.693 1677 1.238 1678 1.236 1679 1.184 1680 1.087 1681 0.931 1682 0.937 1683 1.407 1684 1.01 1685 0.51 1686 0.273 1687 1.093 1688 1.233 1689 0.887 1690 1.034 1691 1.248 1692 1.075 1693 1.326 1694 1.303 1695 0.969 1696 0.997 1697 0.954 1698 1.034 1699 1.072 1700 0.996 1701 1.144 1702 1.066 1703 0.661 1704 0.582 1705 0.695 1706 0.72 1707 0.8 1708 0.476 1709 0.91 1710 0.854 1711 0.805 1712 0.751 1713 0.901 1714 0.565 1715 1.298 1716 1.29 1717 1.029 1718 1.304 1719 1.527 1720 1.495 1721 1.145 1722 0.658 1723 1.012 1724 1.017 1725 1.219 1726 1.44 1727 1.142 1728 0.978 1729 0.905 1730 0.689 1731 0.848 1732 0.963 1733 1.06 1734 1.379 1735 0.889 1736 0.865 1737 0.976 1738 1.079 1739 1.101 1740 0.884 1741 1.037 1742 0.894 1743 1.075 1744 0.791 1745 1.032 1746 1.298 1747 1.386 1748 0.838 1749 1.153 1750 0.992 1751 0.949 1752 0.811 1753 1.128 1754 1.092 1755 0.955 1756 0.662 1757 0.925 1758 0.917 1759 1.116 1760 1.1 1761 1.352 1762 1.191 1763 0.904 1764 1.15 1765 0.697 1766 0.868 1767 0.728 1768 1.285 1769 1.152 1770 1.271 1771 1.127 1772 0.987 1773 0.877 1774 0.723 1775 0.883 1776 0.948 1777 1.13 1778 0.956 1779 1.05 1780 0.823 1781 1.06 1782 0.864 1783 0.906 1784 1.337 1785 1.116 1786 1.103 1787 1.085 1788 0.983 1789 0.755 1790 1.345 1791 1.3 1792 1.17 1793 1.174 1794 1.143 1795 1.039 1796 1.079 1797 1.248 1798 0.58 1799 1.256 1800 1.124 1801 0.82 1802 1.1 1803 1.001 1804 0.999 1805 0.93 1806 0.956 1807 1.282 1808 1.23 1809 1.189 1810 1.171 1811 1.306 1812 1.264 1813 1.222 1814 1.173 1815 1.351 1816 1.417 1817 1.149 1818 0.901 1819 1.065 1820 0.956 1821 0.937 1822 0.915 1823 0.889 1824 0.475 1825 0.864 1826 1.008 1827 1.127 1828 1.345 1829 0.804 1830 1.049 1831 0.898 1832 1.406 1833 1.08 1834 1.052 1835 0.953 1836 1.194 1837 1.341 1838 1.291 1839 1.364 1840 1.221 1841 1.226 1842 0.87 1843 1.012 1844 0.861 1845 0.704 1846 0.619 1847 0.462 1848 0.543 1849 1.212 1850 0.951 1851 0.75 1852 0.729 1853 0.988 1854 0.749 1855 0.631 1856 0.725 1857 0.733 1858 0.873 1859 1.004 1860 1.248 1861 0.953 1862 1.099 1863 0.93 1864 1.141 1865 1.136 1866 1.435 1867 1.477 1868 0.996 1869 1.11 1870 1.319 1871 0.938 1872 0.842 1873 0.592 1874 0.672 1875 0.788 1876 0.743 1877 0.555 1878 0.464 1879 0.185 1880 0.438 1881 0.723 1882 0.786 1883 0.78 1884 0.801 1885 0.929 1886 0.769 1887 0.616 1888 0.639 1889 0.694 1890 0.965 1891 0.873 1892 0.909 1893 0.976 1894 1.345 1895 1.349 1896 0.891 1897 1.298 1898 1.353 1899 1.343 1900 0.986 1901 1.056 1902 0.678 1903 1.206 1904 1.129 1905 1.251 1906 1.347 1907 1.143 1908 0.947 1909 0.993 1910 0.898 1911 1.007 1912 0.968 1913 0.922 1914 1.212 1915 0.932 1916 1.062 1917 1.038 1918 1.061 1919 0.945 1920 1.114 1921 1.048 1922 0.668 1923 0.791 1924 0.91 1925 0.868 1926 0.956 1927 0.951 1928 0.931 1929 1.022 1930 0.604 1931 0.825 1932 1.086 1933 0.894 1934 0.777 1935 0.669 1936 0.422 1937 0.714 1938 0.999 1939 0.88 1940 0.93 1941 1.187 1942 1.265 1943 1.008 1944 0.919 1945 1.152 1946 0.987 1947 1.183 1948 1.03 1949 1.154 1950 1.074 1951 0.744 1952 1.074 1953 0.767 1954 0.755 1955 0.798 1956 0.692 1957 0.916 1958 1.035 1959 0.464 1960 0.846 1961 0.732 1962 1.119 1963 0.507 1964 0.584 1965 0.985 1966 0.827 1967 1.093 1968 0.802 1969 0.826 1970 1.056 1971 0.962 1972 1.03 1973 1.155 1974 1.237 1975 1.274 1976 1.336 1977 0.619 1978 1.083 1979 1.289 1980 1.366 1981 1.356 1982 1.473 1983 1.692 1984 1.782 1985 1.554 1986 1.334 1987 1.25 1988 1.072 1989 0.815 1990 0.647 1991 0.806 1992 0.962 1993 1.066 1994 0.973 1995 1.123 1996 1.245 1997 1.285 1998 1.52 1999 1.304 2000 1.028 2001 0.941