# northamerica_usa_ca660 - Los Lobos Creek - 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_ca660 - Los Lobos Creek - 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: Los Lobos Creek # Location: # Country: United States # Northernmost_Latitude: 34.92 # Southernmost_Latitude: 34.92 # Easternmost_Longitude: -119.4 # Westernmost_Longitude: -119.4 # Elevation: 1051 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca660B # Earliest_Year: 1600 # Most_Recent_Year: 2004 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"2.11731037551"}{"T2":"12.8618688047"}{"M1":"0.0238023993851"}{"M2":"0.600222863496"} #-------------------- # Species # Species_Name: blue oak # Species_Code: QUDG #-------------------- # 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 0.756 1601 0.83 1602 1.284 1603 0.984 1604 1.604 1605 1.541 1606 1.163 1607 0.786 1608 0.879 1609 1.543 1610 1.853 1611 1.221 1612 0.808 1613 0.332 1614 0.692 1615 0.871 1616 1.833 1617 1.298 1618 0.587 1619 0.681 1620 1.146 1621 0.602 1622 0.701 1623 1.223 1624 0.948 1625 0.617 1626 0.527 1627 1.42 1628 1.387 1629 0.47 1630 0.835 1631 0.436 1632 0.338 1633 0.085 1634 0.338 1635 1.463 1636 1.425 1637 0.315 1638 0.357 1639 0.636 1640 1.324 1641 1.434 1642 1.627 1643 0.793 1644 1.288 1645 1.089 1646 0.69 1647 0.499 1648 0.5 1649 1.55 1650 0.941 1651 1.256 1652 1.089 1653 1.117 1654 0.283 1655 0.58 1656 2.008 1657 0.994 1658 0.864 1659 0.809 1660 1.99 1661 1.649 1662 1.258 1663 1.299 1664 1.637 1665 0.874 1666 0.761 1667 0.381 1668 1.148 1669 0.293 1670 0.162 1671 1.267 1672 1.56 1673 0.842 1674 1.297 1675 0.758 1676 0.533 1677 0.961 1678 0.999 1679 0.874 1680 1.959 1681 1.036 1682 1.402 1683 1.218 1684 0.97 1685 1.254 1686 0.673 1687 1.301 1688 1.089 1689 0.831 1690 0.557 1691 0.271 1692 1.043 1693 0.997 1694 1.017 1695 1.294 1696 1.53 1697 0.966 1698 0.542 1699 1.14 1700 1.399 1701 0.681 1702 1.958 1703 0.894 1704 1.531 1705 0.948 1706 0.934 1707 0.495 1708 0.601 1709 0.996 1710 0.644 1711 1.42 1712 1.048 1713 0.302 1714 0.944 1715 1.169 1716 0.586 1717 1.06 1718 1.469 1719 1.547 1720 1.388 1721 0.525 1722 0.586 1723 1.755 1724 0.814 1725 1.116 1726 1.475 1727 0.783 1728 0.322 1729 0.303 1730 0.916 1731 0.838 1732 1.985 1733 0.949 1734 1.514 1735 0.27 1736 0.579 1737 0.572 1738 1.384 1739 0.821 1740 2.228 1741 1.669 1742 1.497 1743 1.902 1744 1.341 1745 1.696 1746 1.618 1747 1.551 1748 0.938 1749 1.626 1750 0.987 1751 0.774 1752 0.729 1753 1.058 1754 0.244 1755 0.791 1756 0.967 1757 0.445 1758 1.04 1759 0.471 1760 0.666 1761 0.57 1762 0.676 1763 0.759 1764 1.24 1765 0.377 1766 1.136 1767 0.592 1768 0.805 1769 0.9 1770 0.454 1771 1.358 1772 1.185 1773 0.769 1774 1.009 1775 0.642 1776 0.966 1777 1.258 1778 0.738 1779 0.927 1780 0.524 1781 1.008 1782 0.117 1783 0.293 1784 0.838 1785 0.957 1786 0.856 1787 1.277 1788 0.711 1789 1.22 1790 1.585 1791 1.242 1792 1.654 1793 1.666 1794 0.928 1795 0.402 1796 0.869 1797 1.09 1798 1.183 1799 1.264 1800 0.858 1801 1.416 1802 1.192 1803 0.43 1804 1.432 1805 0.944 1806 0.897 1807 0.849 1808 1.209 1809 0.364 1810 0.652 1811 0.903 1812 0.725 1813 0.132 1814 0.659 1815 0.37 1816 1.796 1817 1.612 1818 1.073 1819 1.235 1820 0.704 1821 1.301 1822 0.206 1823 0.168 1824 0.224 1825 1.702 1826 1.554 1827 1.243 1828 1.876 1829 0.316 1830 0.95 1831 1.471 1832 1.903 1833 1.008 1834 1.028 1835 1.029 1836 0.552 1837 1.215 1838 1.887 1839 1.399 1840 1.455 1841 0.685 1842 1.041 1843 0.396 1844 0.337 1845 0.222 1846 0.554 1847 0.648 1848 0.708 1849 1.187 1850 1.693 1851 0.835 1852 1.677 1853 1.055 1854 1.172 1855 0.603 1856 0.664 1857 0.371 1858 0.292 1859 0.611 1860 1.336 1861 1.224 1862 1.153 1863 0.554 1864 0.111 1865 1.105 1866 1.353 1867 1.439 1868 1.945 1869 1.507 1870 1.047 1871 0.672 1872 0.19 1873 0.486 1874 0.863 1875 0.871 1876 1.09 1877 0.253 1878 1.436 1879 0.606 1880 1.413 1881 0.93 1882 0.428 1883 0.301 1884 2.401 1885 1.422 1886 0.889 1887 0.866 1888 1.056 1889 0.894 1890 1.577 1891 1.579 1892 1.012 1893 0.65 1894 0.3 1895 1.076 1896 0.415 1897 1.653 1898 0.399 1899 0.192 1900 0.259 1901 0.562 1902 0.321 1903 0.687 1904 0.505 1905 1.523 1906 1.812 1907 2.06 1908 1.721 1909 1.363 1910 1.233 1911 1.548 1912 1.049 1913 1.086 1914 2.522 1915 1.652 1916 1.29 1917 1.107 1918 1.34 1919 1.405 1920 0.748 1921 0.495 1922 1.247 1923 0.27 1924 0.488 1925 0.256 1926 0.55 1927 0.981 1928 0.492 1929 0.353 1930 0.204 1931 0.318 1932 1.365 1933 0.741 1934 0.154 1935 0.777 1936 0.58 1937 1.183 1938 1.42 1939 1.2 1940 0.692 1941 2.709 1942 1.607 1943 1.788 1944 1.892 1945 1.61 1946 1.18 1947 0.562 1948 0.67 1949 0.883 1950 0.419 1951 0.44 1952 1.977 1953 0.985 1954 0.644 1955 0.709 1956 0.543 1957 0.593 1958 1.503 1959 0.567 1960 0.292 1961 0.162 1962 0.962 1963 0.589 1964 0.77 1965 0.915 1966 0.919 1967 0.428 1968 0.278 1969 1.124 1970 0.608 1971 0.691 1972 0.521 1973 1.296 1974 0.677 1975 0.642 1976 0.298 1977 0.307 1978 1.775 1979 1.101 1980 1.608 1981 0.995 1982 1.116 1983 1.84 1984 0.865 1985 1.234 1986 1.373 1987 0.372 1988 1.543 1989 0.601 1990 0.281 1991 0.761 1992 1.413 1993 1.865 1994 0.863 1995 2.471 1996 1.017 1997 0.515 1998 2.293 1999 1.733 2000 1.225 2001 1.105 2002 0.082 2003 0.734 2004 0.612