# europe_spai034 - Gredos Navarredonda - 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: europe_spai034 - Gredos Navarredonda - 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: Gredos Navarredonda # Location: # Country: Spain # Northernmost_Latitude: 40.33 # Southernmost_Latitude: 40.33 # Easternmost_Longitude: -5.13 # Westernmost_Longitude: -5.13 # Elevation: 1470 m #-------------------- # Data_Collection # Collection_Name: europe_spai034B # Earliest_Year: 1810 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.46855428425"}{"T2":"16.1858963366"}{"M1":"0.022105347765"}{"M2":"0.460550593768"} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1810 1.016 1811 1.179 1812 1.151 1813 1.249 1814 1.006 1815 1.096 1816 0.856 1817 0.927 1818 1.118 1819 1.163 1820 0.981 1821 1.098 1822 0.834 1823 1.021 1824 1.04 1825 1.005 1826 0.932 1827 0.754 1828 0.742 1829 0.415 1830 0.697 1831 0.921 1832 0.826 1833 0.686 1834 0.744 1835 0.851 1836 0.984 1837 0.989 1838 1.022 1839 1.039 1840 0.798 1841 1.096 1842 0.949 1843 1.094 1844 0.931 1845 0.679 1846 1.086 1847 1.113 1848 1.092 1849 0.922 1850 1.177 1851 0.959 1852 1.06 1853 1.247 1854 1.07 1855 0.885 1856 0.863 1857 1.105 1858 0.898 1859 1.048 1860 0.91 1861 0.931 1862 0.687 1863 0.697 1864 0.274 1865 0.925 1866 1.01 1867 1.459 1868 0.817 1869 1.211 1870 0.981 1871 1.305 1872 1.211 1873 0.85 1874 0.681 1875 0.774 1876 0.747 1877 1.138 1878 1.196 1879 0.826 1880 1.144 1881 1.18 1882 1.162 1883 1.065 1884 1.217 1885 1.592 1886 1.616 1887 1.298 1888 1.263 1889 1.457 1890 1.11 1891 1.046 1892 0.899 1893 0.995 1894 0.839 1895 1.286 1896 1.275 1897 0.883 1898 0.888 1899 0.939 1900 0.85 1901 0.97 1902 1.397 1903 1.722 1904 1.366 1905 1.18 1906 1.006 1907 1.136 1908 0.902 1909 0.931 1910 1.083 1911 1.129 1912 1.243 1913 0.706 1914 1.153 1915 1.05 1916 0.826 1917 0.7 1918 0.6 1919 0.65 1920 0.694 1921 0.704 1922 0.712 1923 1.086 1924 0.752 1925 0.605 1926 0.848 1927 0.505 1928 0.81 1929 0.981 1930 1.203 1931 1.114 1932 0.877 1933 0.775 1934 0.682 1935 0.764 1936 0.806 1937 0.931 1938 0.881 1939 0.882 1940 1.479 1941 1.144 1942 0.779 1943 1.054 1944 1.037 1945 1.036 1946 0.78 1947 0.965 1948 1.144 1949 0.799 1950 0.804 1951 0.555 1952 1.128 1953 1.013 1954 0.839 1955 0.991 1956 1.083 1957 0.904 1958 0.838 1959 0.963 1960 0.827 1961 1.091 1962 0.925 1963 0.61 1964 0.951 1965 0.408 1966 0.554 1967 0.816 1968 0.784 1969 0.836 1970 1.11 1971 1.363 1972 0.95 1973 1.263 1974 0.976 1975 0.607 1976 0.519 1977 1.083 1978 1.468 1979 1.348 1980 1.507 1981 0.997 1982 1.234 1983 1.503 1984 1.11 1985 1.192