# asia_russ082w - Yevoyakha River - 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: asia_russ082w - Yevoyakha River - 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: Yevoyakha River # Location: # Country: Russia # Northernmost_Latitude: 66.08 # Southernmost_Latitude: 66.08 # Easternmost_Longitude: 77.68 # Westernmost_Longitude: 77.68 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: asia_russ082wB # Earliest_Year: 1844 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.5882721833"}{"T2":"19.3594220238"}{"M1":"0.0226639640256"}{"M2":"0.308593655313"} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1844 1.526 1845 1.762 1846 1.617 1847 1.232 1848 1.056 1849 1.221 1850 1.185 1851 1.191 1852 1.065 1853 1.037 1854 0.801 1855 0.603 1856 1.011 1857 0.977 1858 1.023 1859 1.052 1860 0.934 1861 1.315 1862 0.777 1863 1.009 1864 0.616 1865 0.879 1866 0.987 1867 0.207 1868 1.307 1869 1.072 1870 1.989 1871 1.508 1872 1.402 1873 0.981 1874 1.232 1875 1.384 1876 1.185 1877 1.504 1878 1.733 1879 1.473 1880 0.858 1881 0.441 1882 0.202 1883 0.497 1884 0.245 1885 0.274 1886 0.569 1887 0.578 1888 0.55 1889 0.625 1890 1.009 1891 0.61 1892 1.219 1893 0.97 1894 1.178 1895 0.87 1896 0.879 1897 0.958 1898 1.706 1899 0.734 1900 1.455 1901 0.863 1902 1.41 1903 1.144 1904 1.368 1905 0.928 1906 1.373 1907 0.594 1908 0.755 1909 1.106 1910 0.971 1911 1.162 1912 0.716 1913 0.935 1914 0.462 1915 0.958 1916 0.282 1917 0.718 1918 0.957 1919 0.872 1920 0.982 1921 1.207 1922 1.111 1923 1.589 1924 1.328 1925 1.106 1926 1.395 1927 0.79 1928 1.035 1929 1.098 1930 0.537 1931 0.437 1932 0.535 1933 0.648 1934 0.428 1935 0.631 1936 0.531 1937 0.688 1938 0.907 1939 1.294 1940 1.089 1941 0.684 1942 1.186 1943 1.208 1944 1.36 1945 1.779 1946 1.259 1947 0.616 1948 1.126 1949 0.666 1950 1.034 1951 0.671 1952 0.868 1953 1.043 1954 0.783 1955 1.352 1956 1.282 1957 1.05 1958 1.41 1959 1.418 1960 1.235 1961 1.279 1962 1.171 1963 1.08 1964 1.36 1965 1.17 1966 0.707 1967 1.048 1968 0.694 1969 1.121 1970 0.706 1971 0.655 1972 0.728 1973 0.508 1974 0.761 1975 0.523 1976 0.736 1977 0.821 1978 0.95 1979 1.074 1980 0.897 1981 1.094 1982 1.059 1983 1.228 1984 1.249 1985 1.486 1986 1.365 1987 0.919 1988 0.748 1989 1.167 1990 0.915