# southamerica_arge067 - El Arrasayal - 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: southamerica_arge067 - El Arrasayal - 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: El Arrasayal # Location: # Country: Argentina # Northernmost_Latitude: -22.73 # Southernmost_Latitude: -22.73 # Easternmost_Longitude: -64.53 # Westernmost_Longitude: -64.53 # Elevation: 880 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge067B # Earliest_Year: 1833 # Most_Recent_Year: 1980 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.97173078086"}{"T2":"17.9857484115"}{"M1":"0.0222792154423"}{"M2":"0.388994253516"} #-------------------- # Species # Species_Name: Argentine walnut # Species_Code: JGAU #-------------------- # 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 1833 1.048 1834 1.002 1835 0.773 1836 0.842 1837 0.522 1838 1.406 1839 0.629 1840 1.021 1841 0.719 1842 0.858 1843 1.346 1844 1.653 1845 1.114 1846 0.518 1847 2.066 1848 0.39 1849 0.646 1850 1.748 1851 1.455 1852 1.692 1853 1.447 1854 1.53 1855 0.647 1856 0.39 1857 1.519 1858 0.761 1859 0.561 1860 1.443 1861 1.063 1862 0.721 1863 0.17 1864 0.999 1865 0.368 1866 1.027 1867 0.787 1868 0.757 1869 0.488 1870 0.32 1871 1.334 1872 1.639 1873 1.601 1874 1.015 1875 1.353 1876 0.921 1877 0.866 1878 1.045 1879 0.997 1880 0.598 1881 0.512 1882 0.891 1883 1.265 1884 0.578 1885 0.759 1886 0.726 1887 1.245 1888 1.052 1889 0.802 1890 0.781 1891 0.992 1892 0.31 1893 0.517 1894 0.8 1895 0.745 1896 0.444 1897 1.874 1898 0.721 1899 1.218 1900 1.719 1901 1.262 1902 0.988 1903 0.872 1904 1.37 1905 1.384 1906 1.407 1907 1.645 1908 1.496 1909 0.804 1910 0.534 1911 1.063 1912 1.573 1913 1.168 1914 0.802 1915 0.789 1916 0.172 1917 1.035 1918 0.551 1919 1.045 1920 1.384 1921 0.466 1922 0.838 1923 0.835 1924 0.596 1925 0.62 1926 0.87 1927 0.816 1928 1.07 1929 1.136 1930 1.297 1931 1.139 1932 0.622 1933 0.663 1934 0.484 1935 1.268 1936 0.413 1937 0.111 1938 0.766 1939 0.809 1940 0.935 1941 0.9 1942 0.922 1943 1.339 1944 0.485 1945 0.9 1946 0.946 1947 1.09 1948 0.749 1949 1.734 1950 0.624 1951 1.037 1952 1.09 1953 1.199 1954 1.256 1955 0.641 1956 1.299 1957 1.324 1958 0.934 1959 1.091 1960 1.08 1961 1.008 1962 0.57 1963 0.855 1964 1.121 1965 0.676 1966 1.292 1967 1.375 1968 0.936 1969 1.083 1970 0.502 1971 0.903 1972 1.063 1973 0.992 1974 0.919 1975 1.034 1976 0.774 1977 1.017 1978 0.963 1979 0.702 1980 0.843