# northamerica_usa_wy026 - Fossil Butte National Monument - 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_wy026 - Fossil Butte National Monument - 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: Fossil Butte National Monument # Location: # Country: United States # Northernmost_Latitude: 41.87 # Southernmost_Latitude: 41.87 # Easternmost_Longitude: -110.8 # Westernmost_Longitude: -110.8 # Elevation: 2225 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wy026B # Earliest_Year: 1600 # Most_Recent_Year: 1998 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.74778620315"}{"T2":"15.9372770955"}{"M1":"0.0226620461838"}{"M2":"0.476315520342"} #-------------------- # Species # Species_Name: limber pine # Species_Code: PIFL #-------------------- # 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 0.858 1601 1.29 1602 1.016 1603 0.944 1604 1.104 1605 0.86 1606 1.21 1607 1.054 1608 1.325 1609 1.305 1610 0.852 1611 1.289 1612 1.294 1613 1.267 1614 1.011 1615 1.252 1616 1.652 1617 1.705 1618 1.429 1619 0.971 1620 1.471 1621 1.432 1622 1.875 1623 1.67 1624 1.32 1625 1.241 1626 1.008 1627 0.823 1628 1.271 1629 0.936 1630 0.82 1631 0.904 1632 0.332 1633 1.093 1634 0.888 1635 0.919 1636 0.996 1637 0.72 1638 0.93 1639 0.765 1640 1.149 1641 0.904 1642 1.137 1643 0.679 1644 1.017 1645 0.579 1646 0.524 1647 0.746 1648 0.901 1649 0.809 1650 0.883 1651 0.792 1652 0.858 1653 0.706 1654 0.805 1655 1.082 1656 0.845 1657 0.882 1658 0.647 1659 0.868 1660 0.591 1661 0.747 1662 0.67 1663 0.773 1664 0.71 1665 0.792 1666 0.774 1667 0.374 1668 0.651 1669 0.743 1670 1.02 1671 0.843 1672 0.987 1673 1.237 1674 1.115 1675 0.739 1676 1.277 1677 0.903 1678 0.955 1679 0.647 1680 1.256 1681 0.716 1682 1.005 1683 1.184 1684 0.918 1685 0.866 1686 0.738 1687 1.108 1688 0.945 1689 0.873 1690 0.729 1691 0.943 1692 1.079 1693 1.04 1694 1.085 1695 1.023 1696 0.908 1697 1.011 1698 1.047 1699 1.146 1700 1.095 1701 1.258 1702 1.384 1703 1.296 1704 0.996 1705 1.017 1706 0.775 1707 0.511 1708 0.667 1709 0.602 1710 0.748 1711 0.692 1712 0.795 1713 0.804 1714 0.896 1715 0.928 1716 0.989 1717 0.636 1718 0.853 1719 1.131 1720 1.352 1721 0.885 1722 0.833 1723 0.966 1724 0.909 1725 0.86 1726 1.136 1727 1.284 1728 1.259 1729 1.069 1730 1.064 1731 1.197 1732 1.224 1733 1.666 1734 1.471 1735 0.815 1736 1.113 1737 1.038 1738 0.992 1739 1.02 1740 1.255 1741 1.207 1742 0.961 1743 1.035 1744 0.712 1745 0.708 1746 0.956 1747 0.955 1748 1.437 1749 1.4 1750 1.479 1751 1.626 1752 1.361 1753 1.289 1754 1.102 1755 1.263 1756 0.738 1757 1.082 1758 0.868 1759 0.774 1760 0.781 1761 1.227 1762 0.771 1763 0.901 1764 1.003 1765 0.708 1766 1.226 1767 1.304 1768 1.13 1769 1.283 1770 1.035 1771 1.271 1772 1.074 1773 0.958 1774 0.871 1775 1.001 1776 0.853 1777 0.785 1778 0.438 1779 0.891 1780 0.914 1781 0.908 1782 0.658 1783 0.666 1784 0.987 1785 0.86 1786 1.089 1787 1.117 1788 0.774 1789 1.074 1790 0.939 1791 0.807 1792 0.87 1793 0.758 1794 0.73 1795 0.222 1796 0.633 1797 0.697 1798 0.653 1799 0.85 1800 0.524 1801 0.66 1802 0.998 1803 1.415 1804 1.257 1805 1.232 1806 0.747 1807 0.735 1808 0.654 1809 0.356 1810 0.71 1811 0.85 1812 1.005 1813 0.882 1814 0.721 1815 0.938 1816 0.726 1817 0.859 1818 0.706 1819 0.808 1820 0.862 1821 1.016 1822 0.835 1823 0.915 1824 0.732 1825 0.809 1826 0.967 1827 0.905 1828 1.013 1829 0.989 1830 1.079 1831 0.92 1832 1.026 1833 1.208 1834 1.092 1835 1.098 1836 0.749 1837 0.963 1838 1.016 1839 1.209 1840 0.867 1841 1.272 1842 0.56 1843 1.094 1844 0.881 1845 0.61 1846 0.552 1847 0.774 1848 0.831 1849 0.913 1850 1.05 1851 0.808 1852 0.898 1853 1.029 1854 1.145 1855 0.813 1856 0.713 1857 0.508 1858 0.685 1859 0.548 1860 0.573 1861 0.489 1862 0.906 1863 0.719 1864 0.376 1865 0.588 1866 0.944 1867 0.714 1868 1.215 1869 1.303 1870 1.154 1871 0.749 1872 1.002 1873 0.958 1874 1.102 1875 1.106 1876 1.107 1877 0.983 1878 1.016 1879 0.719 1880 0.859 1881 0.865 1882 0.754 1883 0.844 1884 0.979 1885 0.966 1886 0.754 1887 0.429 1888 0.639 1889 0.584 1890 0.771 1891 0.861 1892 0.814 1893 0.742 1894 0.86 1895 0.909 1896 0.68 1897 0.71 1898 0.907 1899 0.702 1900 0.826 1901 0.861 1902 0.777 1903 0.973 1904 0.892 1905 1.119 1906 1.161 1907 1.496 1908 1.292 1909 1.296 1910 1.367 1911 1.334 1912 1.168 1913 1.276 1914 1.399 1915 1.59 1916 1.616 1917 1.379 1918 1.119 1919 1.067 1920 0.893 1921 1.072 1922 1.097 1923 1.09 1924 1.12 1925 0.944 1926 0.793 1927 0.94 1928 0.986 1929 1.067 1930 1.359 1931 1.009 1932 1.334 1933 0.925 1934 0.737 1935 0.936 1936 0.732 1937 1.216 1938 1.078 1939 1.106 1940 1.02 1941 1.162 1942 0.937 1943 1.035 1944 1.282 1945 1.057 1946 1.056 1947 1.413 1948 1.108 1949 1.593 1950 1.285 1951 1.372 1952 1.238 1953 1.011 1954 1.129 1955 1.018 1956 0.725 1957 0.949 1958 0.851 1959 0.774 1960 1.016 1961 0.6 1962 0.833 1963 1.033 1964 0.983 1965 0.862 1966 1.093 1967 1.125 1968 1.058 1969 0.983 1970 1.042 1971 1.155 1972 1.13 1973 1.118 1974 0.961 1975 0.8 1976 0.974 1977 0.531 1978 1.168 1979 1.102 1980 1.042 1981 1.003 1982 0.95 1983 1.043 1984 1.582 1985 1.716 1986 1.489 1987 1.235 1988 1.118 1989 1.108 1990 0.961 1991 0.712 1992 0.962 1993 1.206 1994 0.963 1995 1.342 1996 1.262 1997 1.112 1998 1.442