# asia_russ064w - Shchely Bozh - 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/4637 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ064w - Shchely Bozh - 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: Shchely Bozh # Location: # Country: Russia # Northernmost_Latitude: 66.22 # Southernmost_Latitude: 66.22 # Easternmost_Longitude: 56.33 # Westernmost_Longitude: 56.33 # Elevation: 65 m #-------------------- # Data_Collection # Collection_Name: asia_russ064wB # Earliest_Year: 1671 # Most_Recent_Year: 1990 # 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":"6.58663076226","T2":"18.4824456271","M1":"0.0224557976366","M2":"0.270245411785"}} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1671 1.539 1672 1.862 1673 1.282 1674 0.924 1675 1.065 1676 0.948 1677 0.838 1678 1.336 1679 0.683 1680 1.211 1681 1.215 1682 1.418 1683 1.198 1684 0.779 1685 1.61 1686 1.273 1687 1.331 1688 1.288 1689 1.011 1690 1.117 1691 0.869 1692 0.77 1693 0.684 1694 0.117 1695 0.878 1696 0.699 1697 0.297 1698 0.079 1699 0.474 1700 0.327 1701 0.389 1702 0.521 1703 0.747 1704 1.051 1705 1.297 1706 1.298 1707 1.533 1708 1.404 1709 1.017 1710 1.09 1711 0.537 1712 0.382 1713 0.412 1714 0.401 1715 0.661 1716 0.627 1717 0.617 1718 0.769 1719 0.873 1720 0.775 1721 0.892 1722 0.467 1723 0.84 1724 1.328 1725 0.895 1726 0.55 1727 0.562 1728 0.664 1729 0.436 1730 0.19 1731 0.554 1732 0.113 1733 0.539 1734 0.422 1735 0.351 1736 0.499 1737 0.573 1738 0.458 1739 0.802 1740 0.484 1741 1.127 1742 1.116 1743 0.793 1744 1.092 1745 0.794 1746 0.757 1747 0.768 1748 0.341 1749 0.903 1750 0.71 1751 1.22 1752 0.612 1753 0.838 1754 1.347 1755 1.39 1756 1.14 1757 0.485 1758 1.38 1759 0.841 1760 1.187 1761 1.466 1762 1.854 1763 1.109 1764 2.527 1765 1.889 1766 1.039 1767 2.007 1768 2.02 1769 1.557 1770 1.116 1771 1.332 1772 0.493 1773 0.315 1774 1.174 1775 0.969 1776 0.672 1777 0.564 1778 0.965 1779 1.521 1780 1.055 1781 1.14 1782 1.753 1783 0.941 1784 0.85 1785 1.264 1786 1.0 1787 1.538 1788 1.998 1789 1.511 1790 1.99 1791 2.097 1792 1.851 1793 1.751 1794 1.675 1795 1.558 1796 1.859 1797 1.337 1798 1.346 1799 1.048 1800 1.035 1801 0.706 1802 1.116 1803 1.194 1804 0.948 1805 1.062 1806 0.873 1807 1.186 1808 1.253 1809 0.843 1810 0.561 1811 0.779 1812 1.004 1813 0.827 1814 0.551 1815 0.525 1816 0.503 1817 0.41 1818 0.445 1819 0.639 1820 0.546 1821 0.833 1822 1.064 1823 1.597 1824 1.324 1825 1.026 1826 0.922 1827 1.304 1828 1.196 1829 1.412 1830 1.75 1831 0.969 1832 1.155 1833 0.992 1834 0.38 1835 0.586 1836 0.415 1837 0.581 1838 0.102 1839 0.478 1840 0.77 1841 0.573 1842 0.83 1843 0.582 1844 0.875 1845 0.762 1846 1.132 1847 1.301 1848 1.283 1849 1.111 1850 0.932 1851 0.982 1852 0.762 1853 0.657 1854 0.914 1855 0.738 1856 1.148 1857 0.428 1858 0.317 1859 0.678 1860 0.553 1861 0.636 1862 0.574 1863 0.07 1864 0.775 1865 0.655 1866 0.755 1867 0.738 1868 0.529 1869 1.184 1870 1.818 1871 0.532 1872 0.617 1873 1.154 1874 0.605 1875 0.961 1876 0.941 1877 1.212 1878 1.557 1879 1.255 1880 1.764 1881 1.489 1882 0.604 1883 0.756 1884 0.64 1885 0.249 1886 0.375 1887 0.754 1888 0.793 1889 0.387 1890 1.424 1891 0.662 1892 0.776 1893 0.747 1894 0.887 1895 0.991 1896 0.938 1897 1.308 1898 1.594 1899 0.905 1900 1.079 1901 1.235 1902 0.9 1903 0.349 1904 0.43 1905 0.272 1906 0.676 1907 0.609 1908 0.66 1909 0.741 1910 0.52 1911 1.175 1912 0.658 1913 0.83 1914 0.684 1915 1.191 1916 1.321 1917 0.844 1918 1.133 1919 0.909 1920 1.115 1921 1.357 1922 1.91 1923 1.828 1924 0.513 1925 1.293 1926 1.283 1927 0.935 1928 1.204 1929 1.265 1930 0.968 1931 1.312 1932 1.165 1933 1.235 1934 1.447 1935 1.612 1936 1.683 1937 1.455 1938 1.419 1939 1.807 1940 1.553 1941 1.505 1942 1.604 1943 1.194 1944 1.085 1945 1.201 1946 0.892 1947 0.922 1948 1.33 1949 1.129 1950 0.779 1951 0.702 1952 1.529 1953 1.676 1954 1.262 1955 0.844 1956 1.062 1957 0.791 1958 0.836 1959 0.96 1960 0.961 1961 1.14 1962 1.072 1963 1.3 1964 1.52 1965 1.365 1966 1.156 1967 0.696 1968 1.042 1969 0.895 1970 0.482 1971 0.798 1972 0.851 1973 0.712 1974 1.066 1975 0.62 1976 0.967 1977 1.159 1978 1.085 1979 0.8 1980 0.87 1981 1.143 1982 0.671 1983 1.376 1984 1.203 1985 1.006 1986 0.801 1987 0.805 1988 1.048 1989 1.104 1990 1.011