# asia_nepa010 - Bhule Pokari - 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_nepa010 - Bhule Pokari - 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: Bhule Pokari # Location: # Country: Nepal # Northernmost_Latitude: 27.43 # Southernmost_Latitude: 27.43 # Easternmost_Longitude: 86.28 # Westernmost_Longitude: 86.28 # Elevation: 3600 m #-------------------- # Data_Collection # Collection_Name: asia_nepa010B # Earliest_Year: 1600 # Most_Recent_Year: 1998 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.84000982068"}{"T2":"17.1490379168"}{"M1":"0.0228732935958"}{"M2":"0.273261371446"} #-------------------- # Species # Species_Name: drooping juniper # Species_Code: JURE #-------------------- # 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 1600 0.807 1601 0.707 1602 0.846 1603 0.797 1604 0.959 1605 0.76 1606 0.839 1607 0.891 1608 0.758 1609 0.803 1610 1.08 1611 1.252 1612 1.513 1613 1.39 1614 1.569 1615 1.592 1616 1.523 1617 1.633 1618 1.311 1619 1.118 1620 1.352 1621 1.044 1622 1.146 1623 1.027 1624 1.08 1625 1.034 1626 0.887 1627 0.765 1628 0.911 1629 0.895 1630 0.902 1631 0.9 1632 0.905 1633 0.588 1634 0.82 1635 0.729 1636 1.044 1637 1.171 1638 1.033 1639 1.513 1640 1.012 1641 1.02 1642 0.809 1643 0.948 1644 0.814 1645 0.913 1646 0.897 1647 1.168 1648 1.118 1649 1.188 1650 1.05 1651 1.026 1652 1.276 1653 1.183 1654 1.248 1655 0.937 1656 1.242 1657 0.989 1658 0.785 1659 1.026 1660 0.87 1661 0.71 1662 0.822 1663 0.7 1664 0.656 1665 0.644 1666 0.809 1667 1.005 1668 0.857 1669 0.689 1670 0.769 1671 0.735 1672 0.966 1673 0.918 1674 0.942 1675 0.882 1676 0.952 1677 0.76 1678 0.656 1679 0.618 1680 0.778 1681 0.859 1682 1.005 1683 0.85 1684 1.024 1685 1.039 1686 0.979 1687 1.212 1688 1.607 1689 1.092 1690 1.201 1691 0.939 1692 1.214 1693 1.571 1694 1.509 1695 1.517 1696 1.535 1697 1.25 1698 0.969 1699 0.954 1700 0.821 1701 0.745 1702 0.719 1703 0.537 1704 0.704 1705 0.73 1706 0.769 1707 0.73 1708 1.126 1709 1.041 1710 0.963 1711 0.949 1712 0.959 1713 0.715 1714 0.521 1715 0.701 1716 0.695 1717 0.551 1718 0.853 1719 0.812 1720 0.59 1721 0.76 1722 0.95 1723 0.975 1724 1.042 1725 0.834 1726 0.406 1727 0.434 1728 0.59 1729 0.79 1730 0.684 1731 0.718 1732 0.471 1733 0.31 1734 0.571 1735 0.641 1736 0.759 1737 0.636 1738 0.701 1739 0.958 1740 1.108 1741 0.815 1742 0.798 1743 0.845 1744 0.957 1745 0.469 1746 0.507 1747 0.558 1748 0.906 1749 0.947 1750 1.129 1751 1.112 1752 1.085 1753 1.577 1754 1.346 1755 1.166 1756 1.081 1757 1.115 1758 0.958 1759 1.025 1760 0.912 1761 0.842 1762 0.854 1763 0.799 1764 0.639 1765 0.693 1766 1.017 1767 1.118 1768 0.721 1769 0.815 1770 1.256 1771 1.24 1772 0.889 1773 1.055 1774 1.213 1775 1.034 1776 0.923 1777 1.161 1778 1.583 1779 1.381 1780 1.156 1781 0.796 1782 0.705 1783 0.924 1784 1.012 1785 0.887 1786 1.017 1787 1.119 1788 1.071 1789 1.151 1790 1.261 1791 0.994 1792 1.063 1793 1.191 1794 1.036 1795 0.979 1796 1.25 1797 1.212 1798 1.31 1799 1.36 1800 1.778 1801 1.359 1802 1.725 1803 1.686 1804 1.816 1805 1.257 1806 1.067 1807 0.809 1808 1.227 1809 1.085 1810 1.4 1811 0.877 1812 0.963 1813 1.007 1814 0.849 1815 0.663 1816 0.621 1817 0.479 1818 0.481 1819 0.519 1820 0.334 1821 0.301 1822 0.353 1823 0.928 1824 0.998 1825 0.933 1826 1.082 1827 1.287 1828 1.024 1829 0.873 1830 0.984 1831 1.116 1832 1.267 1833 1.322 1834 1.028 1835 0.979 1836 1.076 1837 1.25 1838 1.2 1839 1.239 1840 1.038 1841 1.082 1842 1.22 1843 1.044 1844 0.969 1845 1.115 1846 1.621 1847 1.253 1848 1.244 1849 0.998 1850 1.082 1851 1.211 1852 0.994 1853 0.932 1854 0.713 1855 0.776 1856 0.925 1857 1.189 1858 1.233 1859 1.128 1860 0.983 1861 1.013 1862 0.757 1863 0.867 1864 0.637 1865 0.77 1866 1.196 1867 0.89 1868 0.712 1869 0.879 1870 1.029 1871 1.189 1872 1.201 1873 1.499 1874 1.254 1875 1.018 1876 1.149 1877 1.183 1878 1.465 1879 1.76 1880 1.18 1881 0.7 1882 0.956 1883 1.142 1884 1.231 1885 1.188 1886 1.205 1887 0.895 1888 1.056 1889 1.242 1890 1.049 1891 0.845 1892 0.873 1893 0.494 1894 0.566 1895 0.599 1896 0.611 1897 0.744 1898 0.608 1899 0.549 1900 0.698 1901 0.774 1902 0.962 1903 0.883 1904 0.933 1905 0.657 1906 0.6 1907 0.542 1908 0.678 1909 0.654 1910 0.574 1911 0.576 1912 0.718 1913 0.838 1914 0.892 1915 0.708 1916 0.982 1917 0.719 1918 0.72 1919 0.867 1920 1.16 1921 1.003 1922 0.954 1923 0.641 1924 0.905 1925 0.729 1926 0.491 1927 0.578 1928 0.793 1929 0.694 1930 0.928 1931 1.136 1932 0.794 1933 0.932 1934 1.104 1935 0.97 1936 0.894 1937 0.814 1938 1.007 1939 0.955 1940 0.904 1941 0.761 1942 0.739 1943 0.744 1944 0.745 1945 0.909 1946 0.752 1947 1.192 1948 1.021 1949 0.841 1950 1.11 1951 1.097 1952 0.819 1953 0.994 1954 0.915 1955 0.583 1956 0.388 1957 0.671 1958 0.856 1959 0.805 1960 0.992 1961 0.795 1962 0.618 1963 0.904 1964 1.05 1965 1.008 1966 0.991 1967 0.639 1968 0.442 1969 0.397 1970 0.578 1971 0.71 1972 0.923 1973 1.319 1974 1.398 1975 0.973 1976 0.969 1977 1.347 1978 0.829 1979 1.129 1980 1.114 1981 1.013 1982 1.037 1983 1.114 1984 1.206 1985 1.323 1986 1.196 1987 1.218 1988 1.51 1989 1.152 1990 0.835 1991 1.288 1992 1.194 1993 1.147 1994 1.161 1995 1.188 1996 1.25 1997 0.931 1998 1.222