# asia_nepa031 - Marsyangdi Khola - 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3788 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_nepa031 - Marsyangdi Khola - 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. #-------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Marsyangdi Khola # Location: # Country: Nepal # Northernmost_Latitude: 28.35 # Southernmost_Latitude: 28.35 # Easternmost_Longitude: 84.15 # Westernmost_Longitude: 84.15 # Elevation: 2900 m #-------------------- # Data_Collection # Collection_Name: asia_nepa031B # Earliest_Year: 1659 # Most_Recent_Year: 1979 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.26945392559","T2":"15.2227131413","M1":"0.0229934813899","M2":"0.61295652471"}} #-------------------- # 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 1659 0.913 1660 0.758 1661 0.51 1662 0.753 1663 0.769 1664 0.95 1665 0.677 1666 0.955 1667 0.839 1668 0.786 1669 0.867 1670 0.864 1671 0.853 1672 0.759 1673 0.815 1674 0.865 1675 0.784 1676 0.633 1677 0.577 1678 0.729 1679 0.718 1680 0.909 1681 0.809 1682 0.901 1683 0.917 1684 0.791 1685 0.888 1686 0.923 1687 0.867 1688 0.884 1689 0.885 1690 0.858 1691 0.778 1692 0.833 1693 0.762 1694 0.736 1695 0.641 1696 0.881 1697 0.996 1698 0.956 1699 1.189 1700 0.897 1701 1.058 1702 1.218 1703 1.195 1704 1.222 1705 1.031 1706 0.952 1707 0.763 1708 1.117 1709 1.185 1710 1.187 1711 1.233 1712 1.24 1713 1.073 1714 0.934 1715 0.708 1716 0.941 1717 0.594 1718 0.854 1719 0.966 1720 1.022 1721 1.174 1722 1.112 1723 1.059 1724 0.873 1725 1.214 1726 0.874 1727 1.118 1728 1.291 1729 1.236 1730 1.244 1731 1.212 1732 1.06 1733 0.93 1734 1.211 1735 0.975 1736 1.398 1737 1.175 1738 0.963 1739 1.174 1740 0.87 1741 0.705 1742 1.021 1743 0.91 1744 1.016 1745 1.074 1746 1.357 1747 0.875 1748 1.242 1749 0.698 1750 0.859 1751 1.394 1752 1.137 1753 1.038 1754 0.995 1755 0.993 1756 0.937 1757 0.758 1758 0.847 1759 0.828 1760 0.913 1761 0.951 1762 0.883 1763 0.785 1764 0.78 1765 1.036 1766 0.759 1767 0.864 1768 1.03 1769 0.929 1770 1.133 1771 1.089 1772 0.947 1773 1.227 1774 0.783 1775 0.881 1776 1.026 1777 1.171 1778 0.905 1779 1.047 1780 0.954 1781 0.961 1782 0.803 1783 0.806 1784 0.737 1785 0.911 1786 1.0 1787 1.12 1788 0.922 1789 0.846 1790 0.844 1791 0.88 1792 0.87 1793 0.679 1794 0.759 1795 0.776 1796 0.954 1797 0.854 1798 1.076 1799 0.859 1800 0.835 1801 0.651 1802 0.728 1803 0.899 1804 0.914 1805 0.828 1806 1.132 1807 1.041 1808 1.245 1809 1.189 1810 1.054 1811 1.181 1812 1.134 1813 0.811 1814 0.784 1815 1.115 1816 1.158 1817 1.231 1818 1.144 1819 1.38 1820 1.389 1821 0.858 1822 1.152 1823 1.156 1824 1.306 1825 1.364 1826 1.086 1827 1.257 1828 1.063 1829 1.215 1830 1.152 1831 1.2 1832 1.278 1833 1.126 1834 1.035 1835 1.141 1836 1.302 1837 1.252 1838 0.826 1839 0.937 1840 1.103 1841 1.092 1842 1.006 1843 1.153 1844 0.998 1845 0.992 1846 1.121 1847 1.067 1848 1.278 1849 0.954 1850 1.202 1851 1.196 1852 1.283 1853 1.078 1854 1.108 1855 1.199 1856 0.968 1857 0.803 1858 0.652 1859 0.652 1860 0.614 1861 0.907 1862 1.031 1863 1.053 1864 1.162 1865 1.188 1866 0.875 1867 1.161 1868 0.86 1869 0.758 1870 0.862 1871 0.929 1872 1.173 1873 1.339 1874 0.932 1875 0.843 1876 1.045 1877 0.795 1878 1.173 1879 0.877 1880 0.718 1881 1.089 1882 1.182 1883 1.095 1884 0.888 1885 1.217 1886 1.197 1887 1.171 1888 1.19 1889 1.083 1890 1.031 1891 1.176 1892 0.774 1893 1.101 1894 0.873 1895 0.873 1896 0.739 1897 0.845 1898 0.752 1899 1.115 1900 0.958 1901 1.076 1902 1.159 1903 1.453 1904 1.414 1905 1.102 1906 0.919 1907 0.986 1908 0.722 1909 0.914 1910 1.25 1911 1.143 1912 1.029 1913 1.077 1914 0.816 1915 0.878 1916 0.821 1917 0.996 1918 0.855 1919 1.058 1920 1.268 1921 0.575 1922 1.002 1923 0.614 1924 0.992 1925 0.847 1926 0.827 1927 0.848 1928 0.892 1929 0.801 1930 0.921 1931 1.097 1932 0.945 1933 1.163 1934 0.94 1935 0.789 1936 0.977 1937 1.108 1938 1.022 1939 0.902 1940 0.667 1941 0.904 1942 0.528 1943 0.966 1944 0.726 1945 0.696 1946 0.833 1947 0.819 1948 0.627 1949 1.002 1950 0.767 1951 0.843 1952 0.688 1953 0.533 1954 0.691 1955 0.922 1956 0.866 1957 0.904 1958 0.56 1959 0.333 1960 0.659 1961 0.531 1962 0.873 1963 0.908 1964 0.966 1965 1.132 1966 0.647 1967 0.786 1968 0.854 1969 1.086 1970 1.09 1971 1.216 1972 1.032 1973 1.207 1974 0.968 1975 0.88 1976 1.363 1977 1.446 1978 1.233 1979 1.376