# asia_nepa002 - Kalingchok Gebirge - 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_nepa002 - Kalingchok Gebirge - 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: Kalingchok Gebirge # Location: # Country: Nepal # Northernmost_Latitude: 27.75 # Southernmost_Latitude: 27.75 # Easternmost_Longitude: 86.08 # Westernmost_Longitude: 86.08 # Elevation: 3720 m #-------------------- # Data_Collection # Collection_Name: asia_nepa002B # Earliest_Year: 1738 # Most_Recent_Year: 1978 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.50782223354"}{"T2":"13.3712096458"}{"M1":"0.0225468666197"}{"M2":"0.372222252242"} #-------------------- # Species # Species_Name: silver fir # Species_Code: ABSB #-------------------- # 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 1738 1.156 1739 1.145 1740 0.935 1741 0.902 1742 0.903 1743 0.957 1744 1.007 1745 0.996 1746 0.954 1747 1.244 1748 1.537 1749 1.316 1750 1.04 1751 0.941 1752 0.822 1753 0.725 1754 0.715 1755 0.617 1756 0.664 1757 0.662 1758 0.796 1759 0.994 1760 0.863 1761 0.823 1762 0.802 1763 0.889 1764 0.996 1765 1.021 1766 1.073 1767 1.02 1768 0.916 1769 0.941 1770 0.805 1771 0.968 1772 0.971 1773 1.029 1774 0.987 1775 0.942 1776 0.871 1777 0.949 1778 0.988 1779 0.871 1780 0.898 1781 0.88 1782 0.806 1783 0.76 1784 0.943 1785 0.864 1786 0.959 1787 0.89 1788 0.879 1789 0.891 1790 0.749 1791 0.671 1792 0.72 1793 0.868 1794 1.376 1795 1.281 1796 1.482 1797 1.404 1798 1.339 1799 1.09 1800 1.153 1801 1.12 1802 1.084 1803 1.219 1804 0.983 1805 0.893 1806 0.991 1807 0.88 1808 0.891 1809 0.988 1810 0.958 1811 0.782 1812 0.588 1813 0.444 1814 0.743 1815 0.644 1816 0.659 1817 0.578 1818 0.591 1819 0.537 1820 0.634 1821 0.773 1822 0.693 1823 0.805 1824 1.134 1825 1.315 1826 1.267 1827 1.382 1828 1.066 1829 0.75 1830 0.577 1831 0.584 1832 0.614 1833 0.887 1834 0.773 1835 0.969 1836 0.969 1837 0.945 1838 0.879 1839 0.82 1840 0.903 1841 0.865 1842 0.851 1843 0.839 1844 0.892 1845 0.92 1846 1.093 1847 1.243 1848 1.149 1849 1.067 1850 1.313 1851 1.42 1852 1.071 1853 1.231 1854 1.304 1855 1.284 1856 1.384 1857 1.587 1858 1.611 1859 1.175 1860 1.183 1861 1.362 1862 1.035 1863 1.172 1864 1.052 1865 1.17 1866 1.197 1867 1.034 1868 0.687 1869 0.745 1870 0.845 1871 1.162 1872 1.092 1873 1.213 1874 1.06 1875 0.887 1876 0.964 1877 0.849 1878 1.002 1879 0.842 1880 0.843 1881 1.054 1882 0.893 1883 0.97 1884 1.126 1885 1.199 1886 1.019 1887 0.791 1888 0.942 1889 1.3 1890 1.152 1891 1.301 1892 1.5 1893 1.092 1894 1.111 1895 0.858 1896 1.084 1897 1.27 1898 1.078 1899 1.095 1900 1.228 1901 0.851 1902 0.867 1903 0.73 1904 0.991 1905 0.529 1906 0.263 1907 0.424 1908 0.875 1909 0.917 1910 0.958 1911 0.982 1912 0.839 1913 0.859 1914 1.121 1915 0.784 1916 0.82 1917 1.081 1918 1.092 1919 1.125 1920 1.498 1921 1.378 1922 1.146 1923 0.986 1924 1.431 1925 1.184 1926 0.819 1927 0.875 1928 0.875 1929 0.937 1930 1.189 1931 1.652 1932 1.218 1933 1.219 1934 1.283 1935 1.231 1936 1.041 1937 1.069 1938 0.962 1939 0.793 1940 1.079 1941 1.279 1942 1.227 1943 0.865 1944 0.69 1945 0.627 1946 0.654 1947 0.894 1948 0.781 1949 0.673 1950 0.781 1951 1.008 1952 0.884 1953 0.53 1954 0.612 1955 0.758 1956 0.746 1957 1.036 1958 1.266 1959 0.921 1960 0.874 1961 0.795 1962 0.901 1963 0.852 1964 0.867 1965 0.71 1966 0.984 1967 0.844 1968 0.49 1969 0.564 1970 0.567 1971 0.595 1972 0.39 1973 0.485 1974 0.558 1975 0.752 1976 0.676 1977 0.961 1978 0.709