# northamerica_usa_ca610 - Mt. Laguna - 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_ca610 - Mt. Laguna - 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: Mt. Laguna # Location: # Country: United States # Northernmost_Latitude: 32.87 # Southernmost_Latitude: 32.87 # Easternmost_Longitude: -116.42 # Westernmost_Longitude: -116.42 # Elevation: 1800 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca610B # Earliest_Year: 1685 # Most_Recent_Year: 1995 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.28014264109"}{"T2":"16.8288374005"}{"M1":"0.0227246583186"}{"M2":"0.351688239794"} #-------------------- # Species # Species_Name: Jeffrey pine # Species_Code: PIJE #-------------------- # 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 1685 0.886 1686 0.824 1687 0.968 1688 1.059 1689 0.849 1690 1.175 1691 1.126 1692 0.979 1693 0.92 1694 0.926 1695 0.876 1696 1.103 1697 1.103 1698 0.772 1699 0.889 1700 1.122 1701 0.995 1702 1.047 1703 0.654 1704 0.592 1705 0.919 1706 0.852 1707 0.646 1708 0.47 1709 0.617 1710 0.862 1711 1.154 1712 1.421 1713 0.826 1714 0.636 1715 0.599 1716 0.548 1717 0.632 1718 1.01 1719 1.203 1720 1.266 1721 1.175 1722 0.693 1723 0.987 1724 0.826 1725 0.886 1726 1.071 1727 0.98 1728 0.74 1729 0.47 1730 0.497 1731 0.827 1732 0.89 1733 1.03 1734 1.163 1735 0.516 1736 1.003 1737 1.069 1738 1.652 1739 1.024 1740 0.939 1741 0.928 1742 1.31 1743 1.353 1744 1.574 1745 1.678 1746 1.937 1747 2.541 1748 1.492 1749 1.674 1750 1.265 1751 0.789 1752 0.291 1753 0.207 1754 0.189 1755 0.362 1756 0.402 1757 0.525 1758 0.542 1759 0.607 1760 0.929 1761 1.152 1762 1.4 1763 0.933 1764 0.903 1765 0.561 1766 1.146 1767 0.95 1768 1.304 1769 0.82 1770 0.64 1771 1.004 1772 1.603 1773 1.106 1774 1.515 1775 1.943 1776 1.453 1777 0.871 1778 0.56 1779 0.682 1780 0.927 1781 0.829 1782 0.156 1783 0.581 1784 1.41 1785 1.621 1786 1.537 1787 1.654 1788 0.963 1789 1.048 1790 0.872 1791 1.172 1792 2.08 1793 1.85 1794 1.157 1795 0.818 1796 0.717 1797 0.861 1798 0.692 1799 0.686 1800 0.933 1801 0.777 1802 1.262 1803 0.94 1804 1.155 1805 0.819 1806 0.863 1807 0.434 1808 0.766 1809 0.7 1810 0.667 1811 1.141 1812 0.773 1813 0.564 1814 0.864 1815 1.16 1816 1.391 1817 1.277 1818 1.548 1819 1.444 1820 0.758 1821 1.182 1822 0.479 1823 0.336 1824 0.405 1825 0.771 1826 1.147 1827 0.764 1828 0.9 1829 0.687 1830 0.919 1831 0.93 1832 1.359 1833 1.438 1834 1.342 1835 1.142 1836 1.135 1837 0.94 1838 1.226 1839 1.399 1840 1.741 1841 0.482 1842 0.855 1843 0.484 1844 0.929 1845 0.47 1846 1.066 1847 0.583 1848 0.651 1849 0.64 1850 0.75 1851 0.737 1852 0.867 1853 1.58 1854 1.095 1855 1.663 1856 1.161 1857 0.469 1858 0.571 1859 0.736 1860 0.87 1861 0.719 1862 1.22 1863 1.125 1864 0.771 1865 0.87 1866 1.107 1867 1.335 1868 1.469 1869 1.562 1870 0.89 1871 0.867 1872 0.963 1873 0.75 1874 0.999 1875 0.959 1876 0.91 1877 0.746 1878 1.032 1879 0.707 1880 0.375 1881 0.572 1882 0.405 1883 0.553 1884 0.879 1885 1.187 1886 1.174 1887 0.828 1888 0.552 1889 0.984 1890 1.286 1891 1.619 1892 1.633 1893 1.79 1894 1.19 1895 1.385 1896 0.973 1897 0.927 1898 0.612 1899 0.426 1900 0.509 1901 0.744 1902 0.708 1903 0.762 1904 0.569 1905 1.014 1906 1.048 1907 1.682 1908 1.722 1909 2.166 1910 1.715 1911 1.225 1912 1.315 1913 1.494 1914 1.631 1915 1.583 1916 2.035 1917 1.78 1918 1.235 1919 0.692 1920 1.076 1921 1.11 1922 1.381 1923 1.435 1924 1.004 1925 0.861 1926 1.144 1927 0.948 1928 0.822 1929 0.753 1930 1.196 1931 0.989 1932 1.211 1933 1.014 1934 0.376 1935 0.668 1936 0.713 1937 0.783 1938 1.204 1939 1.083 1940 0.848 1941 1.048 1942 1.231 1943 1.46 1944 1.213 1945 1.047 1946 1.048 1947 0.775 1948 0.537 1949 0.515 1950 0.484 1951 -0.003 1952 0.345 1953 0.329 1954 0.507 1955 0.507 1956 0.514 1957 0.617 1958 1.04 1959 0.447 1960 0.405 1961 0.146 1962 0.578 1963 0.259 1964 0.6 1965 0.507 1966 0.465 1967 0.798 1968 0.998 1969 1.252 1970 0.929 1971 0.54 1972 0.19 1973 0.412 1974 0.711 1975 0.653 1976 0.826 1977 1.006 1978 1.273 1979 1.555 1980 1.641 1981 1.207 1982 1.397 1983 1.675 1984 1.385 1985 1.076 1986 1.574 1987 1.053 1988 1.122 1989 0.814 1990 0.362 1991 0.607 1992 0.786 1993 0.638 1994 0.884 1995 1.405