# asia_russ099w - Denezkin Kamen Mountain - 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/4398 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ099w - Denezkin Kamen Mountain - 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: Denezkin Kamen Mountain # Location: # Country: Russia # Northernmost_Latitude: 60.57 # Southernmost_Latitude: 60.57 # Easternmost_Longitude: 59.55 # Westernmost_Longitude: 59.55 # Elevation: 720 m #-------------------- # Data_Collection # Collection_Name: asia_russ099wB # Earliest_Year: 1647 # Most_Recent_Year: 1992 # 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":"6.3542218754","T2":"16.8568896219","M1":"0.0227183104633","M2":"0.504701156867"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1647 0.848 1648 0.913 1649 0.986 1650 1.054 1651 1.193 1652 1.047 1653 1.066 1654 1.218 1655 0.869 1656 1.019 1657 1.005 1658 1.21 1659 1.047 1660 1.112 1661 0.97 1662 1.095 1663 1.104 1664 0.958 1665 1.14 1666 1.198 1667 0.396 1668 0.356 1669 0.49 1670 0.499 1671 0.463 1672 0.307 1673 0.477 1674 0.562 1675 0.639 1676 0.627 1677 0.412 1678 0.349 1679 0.572 1680 0.658 1681 0.567 1682 0.628 1683 1.188 1684 1.326 1685 1.33 1686 1.372 1687 1.284 1688 1.175 1689 1.479 1690 1.484 1691 1.435 1692 1.499 1693 1.346 1694 1.135 1695 1.551 1696 1.331 1697 1.226 1698 1.414 1699 1.341 1700 1.119 1701 1.28 1702 1.415 1703 1.629 1704 1.581 1705 1.347 1706 1.356 1707 1.144 1708 1.259 1709 1.043 1710 1.016 1711 1.11 1712 1.139 1713 0.886 1714 0.973 1715 0.905 1716 1.014 1717 0.741 1718 1.075 1719 0.832 1720 0.864 1721 0.85 1722 0.576 1723 0.92 1724 0.956 1725 1.026 1726 1.21 1727 1.36 1728 1.605 1729 1.353 1730 0.998 1731 1.188 1732 1.089 1733 1.027 1734 1.064 1735 0.903 1736 0.714 1737 0.81 1738 0.801 1739 0.852 1740 0.712 1741 0.792 1742 0.771 1743 0.833 1744 0.995 1745 1.038 1746 0.952 1747 1.065 1748 0.746 1749 0.848 1750 0.829 1751 0.963 1752 0.92 1753 1.042 1754 1.05 1755 1.011 1756 0.871 1757 1.122 1758 0.986 1759 1.009 1760 0.998 1761 0.929 1762 1.449 1763 1.013 1764 0.983 1765 1.133 1766 1.342 1767 1.338 1768 1.595 1769 1.301 1770 1.384 1771 1.567 1772 1.099 1773 0.815 1774 1.17 1775 0.862 1776 1.077 1777 1.148 1778 0.827 1779 0.865 1780 0.604 1781 0.967 1782 0.695 1783 0.767 1784 0.837 1785 0.832 1786 0.678 1787 0.62 1788 0.73 1789 0.604 1790 0.821 1791 0.97 1792 0.853 1793 0.842 1794 0.881 1795 1.06 1796 1.041 1797 1.042 1798 1.057 1799 1.034 1800 1.29 1801 1.363 1802 1.108 1803 1.003 1804 0.925 1805 1.202 1806 0.865 1807 1.158 1808 0.778 1809 0.609 1810 0.326 1811 0.499 1812 0.768 1813 0.814 1814 0.769 1815 0.618 1816 0.449 1817 0.516 1818 0.635 1819 0.737 1820 0.717 1821 0.909 1822 0.791 1823 0.674 1824 0.756 1825 0.727 1826 0.558 1827 0.878 1828 0.705 1829 0.895 1830 1.236 1831 0.906 1832 1.033 1833 1.055 1834 0.914 1835 0.906 1836 0.82 1837 0.967 1838 0.659 1839 1.207 1840 1.115 1841 0.86 1842 0.986 1843 0.957 1844 0.814 1845 0.629 1846 0.641 1847 0.661 1848 0.688 1849 0.852 1850 0.843 1851 0.833 1852 0.929 1853 1.304 1854 1.36 1855 1.287 1856 1.661 1857 1.414 1858 0.64 1859 1.073 1860 1.242 1861 0.979 1862 0.927 1863 0.487 1864 0.933 1865 0.78 1866 0.957 1867 0.839 1868 0.932 1869 0.965 1870 1.097 1871 0.997 1872 1.01 1873 1.009 1874 1.208 1875 1.241 1876 1.124 1877 1.115 1878 1.402 1879 1.328 1880 1.33 1881 1.028 1882 0.678 1883 0.966 1884 1.244 1885 0.931 1886 0.862 1887 0.78 1888 0.806 1889 0.952 1890 1.097 1891 1.048 1892 1.032 1893 0.919 1894 0.675 1895 0.74 1896 0.8 1897 0.994 1898 1.207 1899 0.717 1900 1.052 1901 1.088 1902 0.941 1903 0.655 1904 0.824 1905 1.22 1906 1.216 1907 1.156 1908 0.937 1909 1.139 1910 1.09 1911 1.045 1912 1.07 1913 0.9 1914 0.759 1915 1.073 1916 1.056 1917 1.043 1918 1.125 1919 1.071 1920 0.976 1921 0.977 1922 1.39 1923 1.362 1924 1.215 1925 1.517 1926 1.002 1927 1.306 1928 1.239 1929 1.229 1930 1.479 1931 1.273 1932 1.185 1933 1.113 1934 1.035 1935 1.007 1936 0.938 1937 0.942 1938 0.966 1939 1.11 1940 1.03 1941 0.9 1942 0.829 1943 0.984 1944 1.094 1945 1.066 1946 0.921 1947 0.536 1948 1.094 1949 1.242 1950 1.262 1951 1.22 1952 1.104 1953 0.674 1954 0.78 1955 0.825 1956 1.083 1957 1.063 1958 1.258 1959 0.884 1960 0.864 1961 0.917 1962 0.673 1963 0.905 1964 0.968 1965 1.014 1966 0.949 1967 1.191 1968 0.95 1969 0.599 1970 0.66 1971 0.821 1972 0.779 1973 0.654 1974 0.919 1975 0.745 1976 0.795 1977 0.663 1978 0.75 1979 0.497 1980 0.961 1981 1.228 1982 1.111 1983 0.945 1984 1.236 1985 0.932 1986 0.948 1987 1.353 1988 1.549 1989 1.394 1990 1.284 1991 0.748 1992 1.206