# asia_nepa024 - KatyaKhola-3 - 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_nepa024 - KatyaKhola-3 - 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: KatyaKhola-3 # Location: # Country: Nepal # Northernmost_Latitude: 29.3 # Southernmost_Latitude: 29.3 # Easternmost_Longitude: 82.02 # Westernmost_Longitude: 82.02 # Elevation: 3480 m #-------------------- # Data_Collection # Collection_Name: asia_nepa024B # Earliest_Year: 1772 # Most_Recent_Year: 1997 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.12553373869"}{"T2":"14.806867585"}{"M1":"0.0224081073431"}{"M2":"0.495970986492"} #-------------------- # Species # Species_Name: Himalayan spruce # Species_Code: PCSM #-------------------- # 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 1772 0.865 1773 1.083 1774 0.747 1775 0.919 1776 1.06 1777 0.821 1778 0.91 1779 0.749 1780 0.809 1781 0.847 1782 0.652 1783 1.014 1784 0.911 1785 0.815 1786 0.954 1787 0.98 1788 1.133 1789 1.036 1790 1.07 1791 1.101 1792 1.121 1793 1.044 1794 0.995 1795 0.795 1796 1.247 1797 1.288 1798 1.216 1799 1.127 1800 1.221 1801 1.105 1802 1.099 1803 1.392 1804 1.016 1805 1.142 1806 1.103 1807 0.809 1808 1.006 1809 0.988 1810 0.885 1811 0.917 1812 1.008 1813 0.874 1814 1.062 1815 0.839 1816 0.814 1817 0.782 1818 0.791 1819 0.808 1820 0.779 1821 0.763 1822 0.844 1823 0.774 1824 0.783 1825 0.946 1826 0.991 1827 1.167 1828 0.977 1829 1.164 1830 1.147 1831 1.012 1832 1.149 1833 1.056 1834 0.957 1835 1.095 1836 0.825 1837 0.894 1838 0.842 1839 1.164 1840 1.021 1841 1.186 1842 0.926 1843 1.184 1844 1.41 1845 1.234 1846 1.109 1847 1.131 1848 0.909 1849 0.797 1850 0.848 1851 0.932 1852 0.874 1853 1.006 1854 1.093 1855 1.136 1856 0.956 1857 1.059 1858 1.036 1859 0.962 1860 0.983 1861 1.153 1862 1.024 1863 1.092 1864 1.103 1865 1.037 1866 0.978 1867 0.764 1868 0.871 1869 0.783 1870 0.804 1871 0.739 1872 0.867 1873 0.735 1874 0.984 1875 0.654 1876 0.746 1877 0.92 1878 0.941 1879 0.851 1880 1.08 1881 0.963 1882 0.904 1883 1.004 1884 0.865 1885 0.954 1886 1.146 1887 1.014 1888 1.136 1889 1.133 1890 0.941 1891 1.091 1892 0.57 1893 0.902 1894 0.747 1895 0.788 1896 0.807 1897 0.962 1898 0.704 1899 0.986 1900 0.88 1901 1.076 1902 0.96 1903 1.003 1904 0.787 1905 1.059 1906 0.859 1907 0.941 1908 0.67 1909 0.799 1910 0.943 1911 1.167 1912 1.016 1913 1.136 1914 1.461 1915 1.057 1916 0.878 1917 0.963 1918 1.019 1919 1.085 1920 0.904 1921 0.718 1922 0.878 1923 0.855 1924 0.975 1925 0.948 1926 0.916 1927 0.836 1928 1.084 1929 1.024 1930 1.187 1931 1.538 1932 0.936 1933 1.142 1934 1.174 1935 0.781 1936 0.935 1937 0.999 1938 1.165 1939 1.275 1940 1.229 1941 1.087 1942 1.215 1943 1.199 1944 1.207 1945 1.087 1946 0.854 1947 1.141 1948 0.989 1949 0.962 1950 0.95 1951 1.276 1952 1.047 1953 1.169 1954 0.844 1955 1.01 1956 0.945 1957 1.148 1958 0.92 1959 0.718 1960 1.023 1961 0.875 1962 0.938 1963 1.037 1964 0.963 1965 0.94 1966 1.016 1967 0.734 1968 0.876 1969 0.902 1970 0.806 1971 0.999 1972 0.968 1973 0.985 1974 0.985 1975 1.117 1976 1.148 1977 1.089 1978 1.093 1979 1.068 1980 1.276 1981 1.197 1982 1.125 1983 1.216 1984 0.896 1985 0.817 1986 0.887 1987 0.821 1988 0.792 1989 1.021 1990 0.994 1991 0.926 1992 0.831 1993 0.882 1994 0.782 1995 0.546 1996 0.689 1997 0.689