# northamerica_usa_me1 - Cathedral Pines - 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_me1 - Cathedral Pines - 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: Cathedral Pines # Location: # Country: United States # Northernmost_Latitude: 45.17 # Southernmost_Latitude: 45.17 # Easternmost_Longitude: -70.45 # Westernmost_Longitude: -70.45 # Elevation: 1155 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_me1B # Earliest_Year: 1798 # Most_Recent_Year: 1973 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.99410663536"}{"T2":"12.5938877919"}{"M1":"0.022717400995"}{"M2":"0.363430241853"} #-------------------- # Species # Species_Name: red pine # Species_Code: PIRE #-------------------- # 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 1798 1.139 1799 1.049 1800 0.988 1801 1.128 1802 1.037 1803 1.097 1804 1.153 1805 1.226 1806 0.935 1807 1.141 1808 1.255 1809 0.996 1810 0.969 1811 1.043 1812 0.831 1813 0.767 1814 0.754 1815 0.719 1816 0.767 1817 0.762 1818 0.656 1819 0.715 1820 0.581 1821 0.575 1822 0.783 1823 0.757 1824 0.572 1825 0.639 1826 0.694 1827 1.03 1828 1.187 1829 1.347 1830 1.49 1831 1.489 1832 1.462 1833 1.533 1834 1.408 1835 1.233 1836 1.009 1837 1.115 1838 1.074 1839 1.37 1840 1.482 1841 1.325 1842 1.265 1843 1.387 1844 1.359 1845 1.222 1846 1.095 1847 0.779 1848 0.886 1849 0.764 1850 0.906 1851 0.993 1852 0.957 1853 0.968 1854 0.891 1855 0.996 1856 1.031 1857 1.214 1858 1.076 1859 0.998 1860 0.723 1861 0.729 1862 0.807 1863 1.067 1864 0.857 1865 1.071 1866 1.053 1867 0.845 1868 0.7 1869 0.615 1870 0.514 1871 0.633 1872 0.797 1873 0.835 1874 0.803 1875 1.035 1876 0.864 1877 0.788 1878 0.787 1879 0.452 1880 0.527 1881 0.724 1882 0.669 1883 0.605 1884 0.725 1885 0.772 1886 0.82 1887 0.898 1888 0.801 1889 1.09 1890 0.951 1891 0.865 1892 1.204 1893 1.058 1894 1.216 1895 1.166 1896 1.353 1897 1.161 1898 1.195 1899 1.076 1900 1.058 1901 1.211 1902 1.398 1903 1.668 1904 1.677 1905 1.207 1906 0.991 1907 0.958 1908 1.127 1909 0.946 1910 1.106 1911 1.169 1912 1.178 1913 1.41 1914 1.578 1915 1.55 1916 1.481 1917 1.218 1918 1.266 1919 0.993 1920 1.119 1921 0.805 1922 1.041 1923 0.853 1924 0.951 1925 1.219 1926 1.158 1927 1.221 1928 1.198 1929 1.188 1930 1.1 1931 1.3 1932 1.273 1933 1.043 1934 1.114 1935 0.995 1936 0.77 1937 0.979 1938 0.673 1939 0.618 1940 0.713 1941 0.798 1942 0.989 1943 0.902 1944 0.855 1945 1.038 1946 0.952 1947 0.701 1948 0.7 1949 0.728 1950 0.797 1951 0.814 1952 0.668 1953 1.002 1954 1.055 1955 1.069 1956 0.94 1957 0.974 1958 1.095 1959 0.863 1960 0.591 1961 0.649 1962 0.811 1963 0.736 1964 0.98 1965 1.216 1966 1.038 1967 0.992 1968 1.008 1969 0.771 1970 0.74 1971 0.646 1972 0.739 1973 0.753