# asia_russ147w - Balygichan Ebene - 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/4332 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ147w - Balygichan Ebene - 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: Balygichan Ebene # Location: # Country: Russia # Northernmost_Latitude: 62.13 # Southernmost_Latitude: 62.13 # Easternmost_Longitude: 155.03 # Westernmost_Longitude: 155.03 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: asia_russ147wB # Earliest_Year: 1630 # Most_Recent_Year: 1994 # 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":"3.87728073073","T2":"17.2517565719","M1":"0.0220890925937","M2":"0.364924927765"}} #-------------------- # 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 1630 1.108 1631 1.273 1632 0.982 1633 1.08 1634 0.994 1635 0.986 1636 0.911 1637 0.935 1638 1.107 1639 0.898 1640 1.139 1641 0.474 1642 1.063 1643 1.201 1644 1.372 1645 1.121 1646 0.877 1647 1.042 1648 1.471 1649 1.353 1650 1.343 1651 1.529 1652 1.081 1653 0.95 1654 0.999 1655 1.205 1656 1.051 1657 1.118 1658 0.739 1659 0.797 1660 0.843 1661 1.103 1662 0.976 1663 0.514 1664 0.704 1665 0.76 1666 0.211 1667 0.825 1668 0.749 1669 0.93 1670 0.84 1671 0.65 1672 0.997 1673 0.671 1674 1.114 1675 1.038 1676 0.743 1677 0.683 1678 0.853 1679 0.373 1680 0.733 1681 0.858 1682 1.06 1683 1.127 1684 1.066 1685 0.72 1686 1.169 1687 1.348 1688 1.415 1689 0.797 1690 1.295 1691 1.321 1692 0.975 1693 1.098 1694 1.167 1695 0.701 1696 0.866 1697 0.993 1698 0.595 1699 1.341 1700 1.187 1701 1.19 1702 1.325 1703 1.233 1704 1.447 1705 1.07 1706 1.275 1707 0.756 1708 1.013 1709 0.821 1710 1.085 1711 1.196 1712 1.553 1713 1.352 1714 0.759 1715 0.99 1716 1.469 1717 1.432 1718 1.328 1719 1.506 1720 1.621 1721 1.244 1722 1.511 1723 1.546 1724 1.078 1725 1.307 1726 0.835 1727 1.151 1728 0.729 1729 0.932 1730 0.837 1731 0.769 1732 0.963 1733 0.306 1734 0.911 1735 0.9 1736 0.797 1737 0.696 1738 0.863 1739 1.157 1740 0.503 1741 1.267 1742 1.471 1743 0.547 1744 0.874 1745 1.266 1746 1.216 1747 0.954 1748 0.763 1749 1.006 1750 1.069 1751 1.053 1752 1.237 1753 1.196 1754 1.163 1755 0.902 1756 0.889 1757 1.049 1758 0.705 1759 0.86 1760 0.553 1761 0.758 1762 0.827 1763 1.028 1764 0.517 1765 0.901 1766 1.162 1767 0.673 1768 0.271 1769 0.864 1770 0.735 1771 0.895 1772 0.758 1773 0.969 1774 1.081 1775 0.937 1776 0.989 1777 0.359 1778 0.81 1779 0.972 1780 0.991 1781 0.999 1782 1.158 1783 1.207 1784 0.72 1785 1.058 1786 0.938 1787 0.571 1788 0.764 1789 1.147 1790 1.125 1791 1.126 1792 1.126 1793 1.107 1794 0.868 1795 1.257 1796 0.937 1797 0.776 1798 1.501 1799 1.178 1800 0.345 1801 1.145 1802 1.162 1803 0.981 1804 0.928 1805 1.281 1806 1.024 1807 1.413 1808 0.839 1809 1.388 1810 1.225 1811 1.027 1812 0.529 1813 0.875 1814 1.116 1815 0.666 1816 1.073 1817 0.431 1818 0.348 1819 0.486 1820 1.086 1821 1.289 1822 0.755 1823 0.784 1824 1.045 1825 1.191 1826 1.06 1827 0.914 1828 0.673 1829 1.438 1830 1.411 1831 1.48 1832 0.789 1833 1.425 1834 1.22 1835 1.14 1836 1.249 1837 0.822 1838 0.94 1839 0.889 1840 1.161 1841 0.793 1842 0.473 1843 1.048 1844 1.408 1845 1.151 1846 1.14 1847 1.142 1848 0.549 1849 0.857 1850 0.779 1851 1.065 1852 0.75 1853 1.075 1854 0.98 1855 0.609 1856 0.525 1857 0.651 1858 0.895 1859 0.896 1860 0.808 1861 0.772 1862 0.753 1863 0.428 1864 0.599 1865 0.834 1866 0.894 1867 0.759 1868 0.939 1869 0.645 1870 0.953 1871 1.112 1872 0.933 1873 1.105 1874 0.924 1875 0.769 1876 0.83 1877 0.991 1878 1.094 1879 0.736 1880 1.205 1881 1.073 1882 1.044 1883 0.906 1884 1.289 1885 0.592 1886 1.002 1887 0.835 1888 0.666 1889 0.549 1890 0.813 1891 1.206 1892 1.21 1893 1.087 1894 1.212 1895 1.071 1896 1.02 1897 0.923 1898 1.195 1899 1.282 1900 1.313 1901 0.764 1902 1.575 1903 0.557 1904 0.994 1905 0.83 1906 1.135 1907 0.825 1908 0.649 1909 0.768 1910 1.023 1911 1.039 1912 1.079 1913 1.157 1914 1.179 1915 0.944 1916 1.23 1917 1.011 1918 0.808 1919 1.215 1920 1.311 1921 1.338 1922 0.947 1923 1.152 1924 1.261 1925 1.422 1926 1.183 1927 0.628 1928 1.35 1929 1.358 1930 1.268 1931 1.528 1932 1.175 1933 0.883 1934 0.895 1935 0.963 1936 1.217 1937 0.801 1938 1.134 1939 1.141 1940 0.481 1941 0.59 1942 0.945 1943 0.994 1944 1.341 1945 0.962 1946 1.145 1947 0.451 1948 1.175 1949 0.973 1950 0.96 1951 1.101 1952 1.187 1953 1.011 1954 0.98 1955 1.088 1956 1.049 1957 1.1 1958 1.089 1959 0.761 1960 0.942 1961 0.92 1962 0.876 1963 0.926 1964 1.434 1965 1.003 1966 1.146 1967 1.043 1968 1.021 1969 0.983 1970 1.25 1971 0.8 1972 0.844 1973 0.856 1974 0.999 1975 0.92 1976 0.781 1977 1.014 1978 0.984 1979 0.884 1980 1.153 1981 0.999 1982 0.645 1983 1.374 1984 0.86 1985 0.781 1986 0.943 1987 1.063 1988 1.123 1989 1.23 1990 0.645 1991 0.939 1992 0.912 1993 0.738 1994 0.959