# asia_russ065w - Kuonamka River (trocken) - 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/4489 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ065w - Kuonamka River (trocken) - 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: Kuonamka River (trocken) # Location: # Country: Russia # Northernmost_Latitude: 69.77 # Southernmost_Latitude: 69.77 # Easternmost_Longitude: 112.82 # Westernmost_Longitude: 112.82 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: asia_russ065wB # Earliest_Year: 1621 # Most_Recent_Year: 1990 # 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":"5.45752919728","T2":"17.0735019245","M1":"0.0225820516188","M2":"0.387799624611"}} #-------------------- # 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 1621 0.802 1622 0.694 1623 0.725 1624 0.676 1625 0.519 1626 0.722 1627 0.789 1628 0.756 1629 1.011 1630 1.341 1631 1.275 1632 0.639 1633 1.379 1634 1.357 1635 1.557 1636 1.511 1637 1.602 1638 1.257 1639 1.291 1640 1.385 1641 0.73 1642 0.134 1643 0.86 1644 0.992 1645 0.922 1646 0.869 1647 0.675 1648 0.742 1649 1.015 1650 1.029 1651 1.193 1652 1.254 1653 0.847 1654 1.027 1655 1.546 1656 1.29 1657 1.012 1658 1.156 1659 1.316 1660 1.158 1661 1.14 1662 1.139 1663 0.744 1664 1.201 1665 1.225 1666 1.143 1667 1.6 1668 0.589 1669 0.82 1670 1.059 1671 1.183 1672 1.306 1673 0.884 1674 0.733 1675 0.982 1676 1.166 1677 0.999 1678 0.845 1679 1.024 1680 1.078 1681 0.56 1682 1.114 1683 1.441 1684 1.067 1685 0.762 1686 1.227 1687 1.157 1688 0.587 1689 1.244 1690 1.056 1691 1.294 1692 1.11 1693 1.317 1694 1.235 1695 0.776 1696 0.253 1697 0.847 1698 0.596 1699 0.308 1700 0.69 1701 0.683 1702 0.656 1703 0.81 1704 0.616 1705 0.741 1706 0.591 1707 0.969 1708 0.579 1709 0.845 1710 0.908 1711 0.738 1712 0.836 1713 0.936 1714 0.816 1715 0.953 1716 0.963 1717 0.872 1718 0.6 1719 1.016 1720 0.96 1721 0.839 1722 0.645 1723 0.601 1724 0.72 1725 0.661 1726 0.717 1727 1.082 1728 0.143 1729 1.037 1730 1.012 1731 0.326 1732 0.846 1733 0.838 1734 0.737 1735 0.558 1736 0.79 1737 1.12 1738 0.444 1739 0.864 1740 1.089 1741 0.639 1742 0.442 1743 1.084 1744 0.963 1745 1.038 1746 0.88 1747 1.11 1748 0.836 1749 0.746 1750 0.903 1751 0.781 1752 1.281 1753 1.115 1754 0.499 1755 0.871 1756 0.926 1757 1.504 1758 0.813 1759 1.019 1760 0.619 1761 1.366 1762 0.946 1763 1.041 1764 0.676 1765 0.978 1766 1.081 1767 1.031 1768 0.622 1769 0.594 1770 0.742 1771 0.762 1772 0.392 1773 0.586 1774 0.917 1775 0.935 1776 0.842 1777 1.055 1778 0.76 1779 0.147 1780 0.775 1781 0.551 1782 0.72 1783 0.637 1784 0.995 1785 0.733 1786 0.578 1787 0.651 1788 0.222 1789 1.093 1790 0.922 1791 0.15 1792 0.732 1793 0.744 1794 1.09 1795 0.804 1796 0.817 1797 0.735 1798 1.082 1799 0.761 1800 0.154 1801 0.917 1802 0.97 1803 1.171 1804 1.527 1805 0.874 1806 1.542 1807 0.715 1808 1.134 1809 0.9 1810 1.096 1811 1.351 1812 1.091 1813 0.728 1814 1.518 1815 1.16 1816 1.389 1817 0.843 1818 1.318 1819 0.179 1820 1.571 1821 1.017 1822 0.996 1823 0.828 1824 1.2 1825 0.636 1826 1.136 1827 0.381 1828 1.316 1829 1.735 1830 0.664 1831 1.683 1832 1.007 1833 0.901 1834 1.333 1835 1.109 1836 1.394 1837 1.212 1838 0.6 1839 0.988 1840 1.834 1841 1.108 1842 1.38 1843 1.312 1844 0.637 1845 0.952 1846 1.24 1847 1.133 1848 1.071 1849 0.402 1850 1.301 1851 1.132 1852 1.379 1853 1.259 1854 0.825 1855 1.0 1856 1.131 1857 0.894 1858 1.445 1859 0.668 1860 1.786 1861 1.716 1862 1.681 1863 1.07 1864 1.213 1865 1.38 1866 1.801 1867 0.608 1868 1.46 1869 0.558 1870 1.112 1871 1.126 1872 1.005 1873 0.725 1874 1.191 1875 1.413 1876 1.439 1877 1.448 1878 0.779 1879 1.515 1880 1.576 1881 1.492 1882 1.549 1883 1.719 1884 1.554 1885 1.527 1886 0.41 1887 1.296 1888 0.955 1889 0.704 1890 0.943 1891 1.381 1892 1.34 1893 1.025 1894 1.047 1895 1.519 1896 1.739 1897 1.133 1898 0.987 1899 0.61 1900 0.137 1901 1.751 1902 1.402 1903 0.941 1904 0.747 1905 0.398 1906 0.856 1907 0.891 1908 1.261 1909 0.698 1910 1.068 1911 0.856 1912 0.667 1913 1.072 1914 1.319 1915 1.42 1916 1.083 1917 0.658 1918 1.416 1919 0.748 1920 1.056 1921 0.899 1922 1.054 1923 0.977 1924 1.082 1925 0.556 1926 0.712 1927 0.687 1928 1.17 1929 0.767 1930 1.079 1931 0.445 1932 1.444 1933 1.462 1934 1.186 1935 1.082 1936 1.033 1937 1.27 1938 1.219 1939 0.499 1940 1.315 1941 1.522 1942 1.539 1943 1.767 1944 1.251 1945 1.648 1946 1.372 1947 0.885 1948 1.46 1949 0.812 1950 1.314 1951 0.619 1952 1.158 1953 0.853 1954 1.028 1955 1.211 1956 0.915 1957 0.342 1958 0.228 1959 1.154 1960 1.051 1961 1.027 1962 0.795 1963 0.404 1964 1.166 1965 0.527 1966 0.442 1967 1.015 1968 0.262 1969 0.988 1970 0.987 1971 0.652 1972 0.737 1973 0.678 1974 0.594 1975 0.766 1976 0.833 1977 0.825 1978 0.743 1979 1.32 1980 0.576 1981 0.749 1982 0.526 1983 1.109 1984 1.026 1985 1.018 1986 0.933 1987 0.259 1988 1.095 1989 0.169 1990 1.002