# asia_russ085w - Tschuchonoi 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/4697 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ085w - Tschuchonoi 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: Tschuchonoi River # Location: # Country: Russia # Northernmost_Latitude: 61.15 # Southernmost_Latitude: 61.15 # Easternmost_Longitude: 136.57 # Westernmost_Longitude: 136.57 # Elevation: 600 m #-------------------- # Data_Collection # Collection_Name: asia_russ085wB # Earliest_Year: 1690 # 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":"6.15085320347","T2":"17.7128735035","M1":"0.0223251428051","M2":"0.307527080429"}} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1690 0.924 1691 1.064 1692 1.138 1693 1.307 1694 1.175 1695 0.751 1696 0.72 1697 0.775 1698 0.834 1699 0.893 1700 0.765 1701 0.943 1702 0.87 1703 0.673 1704 0.803 1705 0.857 1706 0.856 1707 1.068 1708 0.885 1709 0.888 1710 1.122 1711 1.267 1712 1.185 1713 1.059 1714 1.106 1715 1.057 1716 1.072 1717 1.114 1718 0.764 1719 0.775 1720 0.91 1721 1.111 1722 0.895 1723 0.909 1724 1.094 1725 1.276 1726 1.157 1727 1.084 1728 1.076 1729 1.056 1730 1.209 1731 0.926 1732 0.959 1733 0.892 1734 1.177 1735 0.957 1736 1.021 1737 1.058 1738 1.017 1739 1.085 1740 0.949 1741 0.98 1742 1.096 1743 0.976 1744 0.924 1745 1.137 1746 1.043 1747 1.232 1748 0.998 1749 1.092 1750 1.141 1751 1.265 1752 0.956 1753 0.981 1754 0.837 1755 0.894 1756 0.919 1757 0.97 1758 1.037 1759 1.162 1760 1.232 1761 0.768 1762 0.829 1763 0.81 1764 0.771 1765 0.926 1766 1.258 1767 1.447 1768 1.362 1769 1.274 1770 1.016 1771 1.371 1772 0.974 1773 0.933 1774 1.163 1775 1.022 1776 1.219 1777 0.991 1778 1.248 1779 1.143 1780 1.268 1781 1.218 1782 0.969 1783 1.091 1784 0.797 1785 0.752 1786 0.857 1787 0.75 1788 0.877 1789 0.83 1790 0.816 1791 0.871 1792 0.877 1793 0.967 1794 0.964 1795 1.14 1796 0.85 1797 0.973 1798 0.707 1799 0.76 1800 0.795 1801 0.764 1802 0.869 1803 0.787 1804 0.763 1805 0.753 1806 0.82 1807 0.82 1808 0.719 1809 0.74 1810 0.782 1811 0.876 1812 0.857 1813 0.729 1814 0.625 1815 0.845 1816 0.738 1817 0.535 1818 0.592 1819 0.785 1820 0.737 1821 0.651 1822 0.708 1823 0.417 1824 0.987 1825 0.714 1826 0.778 1827 0.55 1828 0.628 1829 0.769 1830 0.913 1831 0.888 1832 0.812 1833 1.144 1834 0.894 1835 0.93 1836 1.091 1837 0.933 1838 0.954 1839 0.816 1840 1.075 1841 1.355 1842 0.984 1843 1.09 1844 1.418 1845 1.139 1846 1.251 1847 1.23 1848 1.051 1849 1.236 1850 0.95 1851 0.877 1852 0.793 1853 1.057 1854 1.16 1855 0.936 1856 1.152 1857 0.789 1858 1.19 1859 0.856 1860 1.039 1861 0.986 1862 1.151 1863 0.861 1864 0.969 1865 0.739 1866 0.879 1867 1.044 1868 1.227 1869 1.2 1870 1.125 1871 0.978 1872 1.146 1873 1.158 1874 1.154 1875 0.986 1876 1.284 1877 1.059 1878 1.404 1879 0.982 1880 1.213 1881 0.898 1882 1.007 1883 0.864 1884 1.205 1885 1.312 1886 1.041 1887 1.095 1888 0.729 1889 0.821 1890 1.004 1891 1.178 1892 1.113 1893 1.096 1894 0.815 1895 0.894 1896 0.869 1897 0.928 1898 0.949 1899 0.963 1900 0.62 1901 0.944 1902 0.988 1903 0.977 1904 0.83 1905 0.882 1906 0.91 1907 0.778 1908 0.958 1909 0.919 1910 1.217 1911 0.766 1912 1.224 1913 1.248 1914 1.207 1915 1.048 1916 1.22 1917 0.987 1918 0.869 1919 1.234 1920 0.97 1921 1.268 1922 1.371 1923 1.1 1924 1.023 1925 0.948 1926 0.967 1927 0.997 1928 1.126 1929 1.079 1930 1.076 1931 1.333 1932 1.06 1933 1.162 1934 0.978 1935 0.761 1936 0.902 1937 0.991 1938 1.135 1939 0.799 1940 1.196 1941 0.966 1942 0.941 1943 0.874 1944 1.07 1945 0.84 1946 1.276 1947 1.009 1948 1.035 1949 1.131 1950 0.864 1951 1.207 1952 1.046 1953 0.984 1954 1.353 1955 0.858 1956 1.139 1957 1.037 1958 0.507 1959 1.377 1960 1.152 1961 1.139 1962 0.829 1963 0.919 1964 1.272 1965 0.99 1966 1.093 1967 1.136 1968 0.648 1969 0.777 1970 0.793 1971 1.111 1972 0.857 1973 1.095 1974 0.931 1975 1.09 1976 0.991 1977 1.205 1978 0.897 1979 0.853 1980 0.881 1981 1.069 1982 0.775 1983 1.25 1984 0.807 1985 0.958 1986 1.242 1987 1.055 1988 1.095 1989 0.901 1990 0.929 1991 1.045 1992 0.823