# asia_russ089w - Bulun 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4358 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ089w - Bulun 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. #-------------------- # 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: Bulun river # Location: # Country: Russia # Northernmost_Latitude: 65.1 # Southernmost_Latitude: 65.1 # Easternmost_Longitude: 154.93 # Westernmost_Longitude: 154.93 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: asia_russ089wB # Earliest_Year: 1622 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.44471821896","T2":"15.2758550555","M1":"0.0224985624705","M2":"0.495423429484"}} #-------------------- # Species # Species_Name: Dahurian larch # Species_Code: LAGM #-------------------- # 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 1622 0.764 1623 0.98 1624 1.174 1625 1.342 1626 1.378 1627 1.091 1628 0.92 1629 1.141 1630 1.058 1631 1.453 1632 1.366 1633 1.175 1634 1.125 1635 1.241 1636 0.942 1637 1.045 1638 0.909 1639 1.202 1640 1.079 1641 0.841 1642 0.857 1643 0.707 1644 1.188 1645 0.836 1646 1.305 1647 1.134 1648 1.147 1649 1.342 1650 1.337 1651 1.186 1652 0.582 1653 0.289 1654 0.828 1655 0.963 1656 0.685 1657 1.172 1658 0.499 1659 0.977 1660 1.148 1661 0.849 1662 1.272 1663 0.741 1664 0.98 1665 1.004 1666 0.215 1667 0.654 1668 0.96 1669 0.992 1670 0.729 1671 0.613 1672 0.39 1673 0.593 1674 0.937 1675 1.157 1676 0.882 1677 0.659 1678 0.627 1679 0.612 1680 0.694 1681 1.074 1682 0.937 1683 1.369 1684 0.7 1685 0.931 1686 0.901 1687 0.94 1688 1.117 1689 0.942 1690 1.007 1691 1.574 1692 0.4 1693 1.082 1694 1.152 1695 0.961 1696 1.11 1697 0.733 1698 1.013 1699 1.221 1700 1.031 1701 1.311 1702 1.145 1703 0.81 1704 0.983 1705 1.041 1706 1.091 1707 1.001 1708 1.031 1709 1.262 1710 1.041 1711 1.081 1712 1.237 1713 1.004 1714 0.955 1715 0.809 1716 0.969 1717 0.637 1718 0.699 1719 0.841 1720 0.776 1721 0.961 1722 1.179 1723 1.121 1724 0.732 1725 0.882 1726 0.918 1727 0.959 1728 0.793 1729 0.674 1730 0.607 1731 0.556 1732 0.732 1733 0.739 1734 0.583 1735 0.698 1736 0.779 1737 1.064 1738 1.065 1739 0.999 1740 0.966 1741 1.071 1742 0.932 1743 1.149 1744 0.782 1745 1.043 1746 0.443 1747 0.988 1748 0.848 1749 0.983 1750 0.341 1751 0.82 1752 1.228 1753 1.588 1754 1.873 1755 1.611 1756 1.515 1757 0.658 1758 1.089 1759 1.254 1760 1.496 1761 1.192 1762 1.117 1763 0.607 1764 0.958 1765 1.108 1766 0.686 1767 0.692 1768 0.657 1769 0.894 1770 0.936 1771 0.953 1772 0.649 1773 1.057 1774 1.421 1775 0.715 1776 0.999 1777 0.811 1778 1.057 1779 0.511 1780 1.0 1781 0.632 1782 0.979 1783 1.089 1784 0.764 1785 0.894 1786 0.346 1787 0.964 1788 0.772 1789 1.271 1790 1.332 1791 1.57 1792 0.99 1793 0.66 1794 1.225 1795 1.339 1796 0.239 1797 0.591 1798 0.803 1799 0.919 1800 1.23 1801 0.869 1802 1.172 1803 0.921 1804 1.366 1805 1.513 1806 0.975 1807 0.574 1808 0.298 1809 0.278 1810 0.283 1811 0.42 1812 0.345 1813 0.847 1814 0.338 1815 0.466 1816 0.834 1817 0.955 1818 1.115 1819 1.449 1820 0.803 1821 1.287 1822 0.962 1823 1.214 1824 1.105 1825 1.982 1826 1.522 1827 0.945 1828 1.572 1829 0.975 1830 0.899 1831 0.9 1832 1.175 1833 1.24 1834 1.127 1835 0.639 1836 0.754 1837 1.001 1838 0.964 1839 0.793 1840 1.175 1841 0.981 1842 0.784 1843 0.915 1844 0.743 1845 0.498 1846 0.466 1847 0.7 1848 0.511 1849 0.895 1850 1.015 1851 1.057 1852 1.06 1853 1.405 1854 1.958 1855 1.163 1856 0.735 1857 0.986 1858 1.848 1859 1.072 1860 1.014 1861 0.727 1862 0.412 1863 0.954 1864 1.29 1865 1.397 1866 1.651 1867 1.509 1868 1.29 1869 0.596 1870 1.059 1871 0.919 1872 1.471 1873 1.025 1874 1.16 1875 0.79 1876 0.806 1877 0.725 1878 0.373 1879 0.866 1880 0.911 1881 0.853 1882 1.263 1883 1.238 1884 1.255 1885 0.817 1886 1.147 1887 1.524 1888 1.336 1889 0.36 1890 0.881 1891 0.795 1892 0.767 1893 0.92 1894 0.484 1895 0.708 1896 0.632 1897 0.789 1898 0.98 1899 1.146 1900 1.51 1901 1.498 1902 1.473 1903 1.27 1904 1.269 1905 0.733 1906 1.226 1907 0.913 1908 0.832 1909 1.11 1910 0.787 1911 0.849 1912 1.497 1913 1.285 1914 1.065 1915 0.794 1916 1.037 1917 0.897 1918 0.795 1919 0.608 1920 0.436 1921 0.934 1922 0.787 1923 0.862 1924 0.982 1925 1.066 1926 0.994 1927 1.256 1928 0.846 1929 1.037 1930 0.759 1931 0.668 1932 0.892 1933 0.941 1934 0.609 1935 0.952 1936 1.216 1937 0.855 1938 1.248 1939 1.179 1940 1.094 1941 0.804 1942 1.318 1943 1.83 1944 1.691 1945 1.41 1946 1.654 1947 1.006 1948 1.019 1949 0.409 1950 0.922 1951 1.426 1952 0.655 1953 0.723 1954 0.972 1955 0.907 1956 0.874 1957 0.702 1958 1.071 1959 1.04 1960 1.019 1961 0.807 1962 0.958 1963 1.017 1964 1.448 1965 1.167 1966 1.113 1967 0.771 1968 1.281 1969 1.528 1970 0.981 1971 1.186 1972 0.595 1973 0.531 1974 0.648 1975 0.729 1976 0.928 1977 0.622 1978 0.858 1979 1.245 1980 0.799 1981 0.644 1982 0.537 1983 0.421 1984 0.242 1985 0.945 1986 0.812 1987 1.035 1988 0.887 1989 1.216 1990 1.172 1991 1.327