# northamerica_usa_ca533 - Campito Mountain - 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_ca533 - Campito Mountain - 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: Campito Mountain # Location: # Country: United States # Northernmost_Latitude: 37.5 # Southernmost_Latitude: 37.5 # Easternmost_Longitude: -118.22 # Westernmost_Longitude: -118.22 # Elevation: 3400 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca533B # Earliest_Year: 1600 # Most_Recent_Year: 1983 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.19621691358"}{"T2":"17.8220661906"}{"M1":"0.0226917595082"}{"M2":"0.290547533125"} #-------------------- # Species # Species_Name: Intermountain bristlecone pine # Species_Code: PILO #-------------------- # 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 0.785 1601 1.034 1602 0.682 1603 1.452 1604 1.285 1605 1.09 1606 0.838 1607 0.618 1608 1.133 1609 1.078 1610 0.967 1611 0.915 1612 0.554 1613 0.678 1614 1.139 1615 0.807 1616 1.221 1617 1.303 1618 0.596 1619 0.848 1620 0.86 1621 1.102 1622 0.838 1623 0.948 1624 0.5 1625 0.964 1626 0.502 1627 0.786 1628 0.978 1629 1.152 1630 1.006 1631 0.756 1632 0.589 1633 0.9 1634 1.152 1635 1.038 1636 1.238 1637 1.243 1638 1.062 1639 1.14 1640 1.393 1641 0.602 1642 0.777 1643 1.071 1644 0.855 1645 0.872 1646 0.896 1647 0.543 1648 0.995 1649 0.947 1650 1.038 1651 1.318 1652 0.811 1653 0.717 1654 0.497 1655 0.226 1656 0.782 1657 0.966 1658 1.012 1659 0.978 1660 1.306 1661 1.442 1662 1.123 1663 1.037 1664 1.529 1665 1.414 1666 1.12 1667 0.975 1668 0.37 1669 0.476 1670 0.24 1671 0.768 1672 0.601 1673 0.767 1674 0.782 1675 0.461 1676 0.636 1677 0.508 1678 0.741 1679 0.771 1680 0.853 1681 0.188 1682 0.91 1683 0.93 1684 0.89 1685 0.748 1686 0.457 1687 0.805 1688 0.768 1689 0.779 1690 0.265 1691 0.928 1692 0.917 1693 1.081 1694 1.209 1695 1.25 1696 0.877 1697 0.971 1698 0.854 1699 0.814 1700 0.788 1701 0.826 1702 0.723 1703 0.398 1704 0.529 1705 0.428 1706 0.715 1707 0.447 1708 0.313 1709 0.742 1710 0.748 1711 0.743 1712 0.953 1713 0.965 1714 0.754 1715 0.964 1716 0.769 1717 0.748 1718 0.982 1719 0.916 1720 1.112 1721 1.404 1722 0.926 1723 0.89 1724 1.036 1725 1.0 1726 1.028 1727 1.184 1728 1.257 1729 1.104 1730 1.162 1731 1.016 1732 1.336 1733 0.665 1734 1.178 1735 0.696 1736 1.088 1737 1.197 1738 1.077 1739 0.842 1740 1.207 1741 1.439 1742 0.835 1743 1.257 1744 1.266 1745 1.204 1746 1.126 1747 1.386 1748 1.196 1749 1.163 1750 1.224 1751 1.578 1752 0.922 1753 0.538 1754 0.661 1755 0.958 1756 0.569 1757 0.622 1758 1.07 1759 0.894 1760 1.612 1761 1.404 1762 1.274 1763 0.801 1764 0.888 1765 1.172 1766 0.936 1767 1.318 1768 1.01 1769 1.243 1770 1.109 1771 1.347 1772 1.32 1773 1.191 1774 0.981 1775 1.166 1776 1.218 1777 0.738 1778 1.102 1779 1.171 1780 1.019 1781 0.64 1782 0.12 1783 0.685 1784 0.789 1785 0.971 1786 0.979 1787 0.949 1788 1.099 1789 1.052 1790 0.907 1791 0.996 1792 1.008 1793 0.971 1794 0.818 1795 0.405 1796 0.869 1797 1.114 1798 0.969 1799 1.072 1800 1.261 1801 1.349 1802 1.123 1803 1.283 1804 1.33 1805 1.372 1806 1.014 1807 0.871 1808 1.078 1809 1.267 1810 0.719 1811 1.101 1812 0.709 1813 0.605 1814 0.825 1815 0.804 1816 0.798 1817 1.18 1818 0.933 1819 0.901 1820 0.589 1821 0.901 1822 0.727 1823 0.931 1824 0.707 1825 0.99 1826 1.101 1827 1.081 1828 0.924 1829 0.669 1830 0.855 1831 1.034 1832 0.936 1833 0.971 1834 1.003 1835 0.7 1836 0.279 1837 0.547 1838 0.66 1839 0.864 1840 0.732 1841 0.776 1842 0.472 1843 0.857 1844 0.605 1845 0.422 1846 0.692 1847 0.611 1848 0.875 1849 0.961 1850 0.924 1851 0.878 1852 1.265 1853 1.164 1854 1.154 1855 1.077 1856 0.402 1857 0.262 1858 0.235 1859 0.619 1860 0.924 1861 0.653 1862 0.905 1863 0.726 1864 1.134 1865 0.719 1866 1.187 1867 1.098 1868 1.124 1869 0.984 1870 1.05 1871 0.975 1872 1.205 1873 1.036 1874 1.063 1875 1.067 1876 0.888 1877 1.282 1878 1.322 1879 1.044 1880 0.626 1881 0.694 1882 1.063 1883 1.077 1884 1.095 1885 1.082 1886 1.419 1887 1.17 1888 1.296 1889 1.39 1890 1.094 1891 1.297 1892 1.262 1893 1.134 1894 0.901 1895 1.124 1896 0.645 1897 0.981 1898 1.17 1899 0.281 1900 1.121 1901 1.38 1902 1.306 1903 1.186 1904 0.902 1905 1.267 1906 1.24 1907 1.588 1908 1.287 1909 1.372 1910 1.169 1911 1.509 1912 1.182 1913 0.979 1914 1.372 1915 1.374 1916 1.27 1917 1.128 1918 1.049 1919 1.378 1920 1.217 1921 1.165 1922 1.313 1923 1.099 1924 0.988 1925 1.311 1926 1.36 1927 1.564 1928 1.387 1929 0.323 1930 1.343 1931 1.3 1932 1.398 1933 1.254 1934 1.37 1935 1.08 1936 0.89 1937 1.409 1938 1.227 1939 1.352 1940 1.483 1941 1.071 1942 1.045 1943 1.116 1944 0.961 1945 1.156 1946 1.498 1947 1.559 1948 0.794 1949 1.085 1950 1.048 1951 1.302 1952 1.138 1953 1.383 1954 1.238 1955 1.212 1956 1.215 1957 1.233 1958 1.215 1959 0.979 1960 0.342 1961 0.487 1962 1.176 1963 1.343 1964 1.325 1965 1.227 1966 0.999 1967 1.197 1968 1.375 1969 1.638 1970 1.068 1971 1.09 1972 0.965 1973 1.197 1974 0.897 1975 0.81 1976 1.019 1977 1.516 1978 1.311 1979 1.217 1980 1.714 1981 1.413 1982 1.58 1983 1.569