# asia_russ097w - Polui River Head B - 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/4601 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ097w - Polui River Head B - 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: Polui River Head B # Location: # Country: Russia # Northernmost_Latitude: 65.35 # Southernmost_Latitude: 65.35 # Easternmost_Longitude: 69.52 # Westernmost_Longitude: 69.52 # Elevation: 25 m #-------------------- # Data_Collection # Collection_Name: asia_russ097wB # Earliest_Year: 1678 # Most_Recent_Year: 1991 # 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":"5.47193274178","T2":"18.7991414865","M1":"0.0225377278413","M2":"0.337378704991"}} #-------------------- # 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 1678 0.91 1679 0.75 1680 1.06 1681 0.843 1682 0.896 1683 1.252 1684 1.43 1685 1.254 1686 0.684 1687 1.207 1688 1.13 1689 1.203 1690 1.42 1691 1.207 1692 1.063 1693 1.148 1694 0.506 1695 1.191 1696 1.081 1697 0.539 1698 0.785 1699 1.038 1700 0.919 1701 0.861 1702 0.945 1703 0.999 1704 0.93 1705 0.754 1706 0.668 1707 0.806 1708 1.159 1709 1.144 1710 1.066 1711 0.85 1712 1.113 1713 0.445 1714 0.735 1715 0.999 1716 0.824 1717 0.694 1718 0.774 1719 1.16 1720 0.978 1721 1.055 1722 0.91 1723 0.835 1724 1.147 1725 0.656 1726 0.611 1727 0.787 1728 0.923 1729 0.919 1730 0.57 1731 0.961 1732 0.512 1733 0.922 1734 0.581 1735 1.05 1736 0.753 1737 0.899 1738 1.06 1739 1.127 1740 1.01 1741 0.843 1742 0.69 1743 0.572 1744 0.583 1745 0.512 1746 0.744 1747 0.695 1748 0.531 1749 0.736 1750 0.766 1751 0.66 1752 0.724 1753 0.874 1754 0.855 1755 0.557 1756 0.739 1757 1.055 1758 0.72 1759 0.433 1760 0.507 1761 0.611 1762 0.656 1763 0.693 1764 0.901 1765 0.926 1766 0.793 1767 1.209 1768 1.108 1769 1.294 1770 0.542 1771 1.148 1772 0.619 1773 1.087 1774 0.952 1775 0.686 1776 0.58 1777 0.9 1778 0.947 1779 0.839 1780 0.903 1781 0.841 1782 1.19 1783 0.688 1784 1.386 1785 1.143 1786 1.021 1787 1.031 1788 0.996 1789 1.104 1790 1.051 1791 0.927 1792 0.654 1793 1.118 1794 0.898 1795 0.864 1796 0.998 1797 0.915 1798 1.044 1799 0.694 1800 0.963 1801 1.176 1802 0.767 1803 0.708 1804 0.816 1805 1.356 1806 0.991 1807 1.372 1808 1.293 1809 1.763 1810 1.668 1811 1.343 1812 1.35 1813 1.331 1814 1.304 1815 1.41 1816 0.86 1817 1.242 1818 0.756 1819 1.034 1820 0.922 1821 1.301 1822 1.267 1823 1.413 1824 1.136 1825 0.816 1826 0.934 1827 1.005 1828 0.705 1829 1.251 1830 1.237 1831 0.875 1832 1.303 1833 1.005 1834 1.362 1835 1.497 1836 1.123 1837 1.191 1838 1.283 1839 1.43 1840 1.677 1841 1.15 1842 1.335 1843 0.763 1844 1.039 1845 1.155 1846 1.162 1847 1.212 1848 1.093 1849 0.965 1850 0.987 1851 1.058 1852 1.288 1853 1.311 1854 0.951 1855 0.774 1856 1.211 1857 0.753 1858 1.146 1859 1.18 1860 0.868 1861 1.172 1862 0.819 1863 0.619 1864 0.63 1865 0.86 1866 0.848 1867 0.495 1868 0.394 1869 0.398 1870 0.498 1871 0.522 1872 0.741 1873 0.721 1874 0.842 1875 0.74 1876 0.764 1877 0.822 1878 0.848 1879 1.015 1880 1.048 1881 0.609 1882 0.518 1883 0.953 1884 0.824 1885 0.947 1886 1.104 1887 1.043 1888 1.027 1889 1.036 1890 1.269 1891 1.059 1892 1.514 1893 1.11 1894 1.234 1895 0.809 1896 1.064 1897 1.343 1898 1.168 1899 0.394 1900 1.012 1901 0.933 1902 1.089 1903 0.678 1904 0.879 1905 0.942 1906 1.096 1907 1.0 1908 0.956 1909 1.154 1910 0.944 1911 1.113 1912 0.972 1913 1.149 1914 0.756 1915 1.282 1916 0.523 1917 1.085 1918 1.169 1919 1.02 1920 1.314 1921 1.165 1922 1.146 1923 1.036 1924 1.135 1925 1.192 1926 1.198 1927 1.249 1928 1.169 1929 1.019 1930 1.35 1931 1.161 1932 0.693 1933 0.824 1934 0.661 1935 0.829 1936 0.785 1937 0.785 1938 0.954 1939 1.058 1940 0.965 1941 0.8 1942 1.375 1943 1.06 1944 1.176 1945 1.291 1946 0.982 1947 0.846 1948 1.155 1949 0.848 1950 1.178 1951 0.898 1952 1.206 1953 1.078 1954 1.131 1955 1.073 1956 1.283 1957 1.055 1958 0.957 1959 1.268 1960 0.9 1961 0.955 1962 0.653 1963 0.882 1964 0.975 1965 1.114 1966 0.8 1967 0.992 1968 1.061 1969 1.392 1970 0.949 1971 1.032 1972 1.102 1973 1.452 1974 0.949 1975 0.639 1976 0.772 1977 0.765 1978 0.618 1979 0.957 1980 0.767 1981 0.814 1982 0.886 1983 1.112 1984 0.943 1985 0.608 1986 0.689 1987 0.805 1988 0.848 1989 1.063 1990 0.858 1991 0.813