# asia_russ113w - Tirekhtjakh 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/4680 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ113w - Tirekhtjakh 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: Tirekhtjakh river # Location: # Country: Russia # Northernmost_Latitude: 67.62 # Southernmost_Latitude: 67.62 # Easternmost_Longitude: 137.47 # Westernmost_Longitude: 137.47 # Elevation: 350 m #-------------------- # Data_Collection # Collection_Name: asia_russ113wB # Earliest_Year: 1608 # 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":"5.80624677959","T2":"18.8631376264","M1":"0.0223302870704","M2":"0.210360997728"}} #-------------------- # 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 1608 0.814 1609 0.832 1610 1.061 1611 1.066 1612 1.298 1613 1.408 1614 1.477 1615 1.628 1616 1.119 1617 1.44 1618 1.357 1619 1.739 1620 0.996 1621 1.442 1622 0.959 1623 1.223 1624 1.251 1625 1.2 1626 0.963 1627 0.904 1628 1.318 1629 1.292 1630 1.396 1631 1.31 1632 1.728 1633 1.585 1634 1.554 1635 1.163 1636 0.782 1637 0.823 1638 1.35 1639 1.379 1640 1.055 1641 0.624 1642 0.711 1643 0.938 1644 0.958 1645 0.754 1646 1.108 1647 0.987 1648 1.011 1649 1.072 1650 0.893 1651 0.864 1652 0.977 1653 0.89 1654 0.953 1655 1.07 1656 0.972 1657 0.962 1658 0.93 1659 1.154 1660 1.229 1661 1.043 1662 0.977 1663 0.749 1664 0.745 1665 0.924 1666 0.893 1667 1.095 1668 1.117 1669 1.153 1670 0.727 1671 0.677 1672 0.815 1673 0.716 1674 1.039 1675 0.766 1676 0.49 1677 0.852 1678 0.658 1679 0.511 1680 0.963 1681 0.855 1682 0.946 1683 1.155 1684 0.683 1685 1.029 1686 0.705 1687 0.858 1688 0.888 1689 0.757 1690 1.042 1691 1.163 1692 1.176 1693 1.531 1694 1.117 1695 0.977 1696 0.823 1697 1.079 1698 0.854 1699 1.266 1700 1.187 1701 1.039 1702 0.811 1703 1.166 1704 1.265 1705 0.858 1706 1.098 1707 0.855 1708 1.334 1709 1.137 1710 0.668 1711 0.981 1712 0.728 1713 1.4 1714 0.66 1715 1.25 1716 1.163 1717 0.85 1718 0.552 1719 1.123 1720 1.239 1721 1.589 1722 1.489 1723 1.041 1724 0.802 1725 0.608 1726 1.45 1727 1.32 1728 0.521 1729 1.71 1730 0.81 1731 0.624 1732 1.347 1733 0.914 1734 0.947 1735 0.53 1736 0.488 1737 0.406 1738 0.693 1739 0.633 1740 0.57 1741 0.875 1742 0.788 1743 0.713 1744 0.84 1745 0.732 1746 0.782 1747 0.813 1748 0.769 1749 0.875 1750 1.029 1751 0.66 1752 1.149 1753 0.925 1754 0.714 1755 0.938 1756 1.166 1757 1.088 1758 0.966 1759 0.92 1760 1.29 1761 0.924 1762 0.469 1763 0.772 1764 0.325 1765 0.845 1766 0.809 1767 0.713 1768 0.74 1769 1.025 1770 0.786 1771 1.187 1772 0.583 1773 0.651 1774 0.921 1775 0.943 1776 0.855 1777 0.664 1778 0.556 1779 0.785 1780 0.663 1781 0.643 1782 0.923 1783 0.696 1784 0.669 1785 0.791 1786 0.905 1787 0.952 1788 0.583 1789 0.921 1790 0.844 1791 0.811 1792 0.952 1793 1.079 1794 0.953 1795 1.204 1796 0.813 1797 0.479 1798 1.061 1799 0.881 1800 0.488 1801 0.686 1802 0.965 1803 0.904 1804 0.796 1805 0.975 1806 1.004 1807 0.839 1808 1.285 1809 1.232 1810 1.012 1811 0.712 1812 0.645 1813 0.679 1814 0.922 1815 0.599 1816 0.607 1817 0.515 1818 0.195 1819 1.037 1820 0.853 1821 0.931 1822 0.612 1823 0.547 1824 0.869 1825 0.707 1826 0.842 1827 0.602 1828 0.755 1829 0.905 1830 0.676 1831 0.916 1832 0.658 1833 0.935 1834 0.907 1835 0.921 1836 1.087 1837 0.82 1838 0.901 1839 0.554 1840 0.819 1841 1.012 1842 0.698 1843 0.992 1844 1.075 1845 0.796 1846 0.973 1847 0.945 1848 0.799 1849 0.801 1850 0.6 1851 0.391 1852 0.829 1853 0.856 1854 0.572 1855 0.632 1856 0.806 1857 0.83 1858 1.09 1859 0.71 1860 1.08 1861 0.998 1862 1.098 1863 0.645 1864 0.969 1865 1.003 1866 1.458 1867 1.433 1868 1.152 1869 1.387 1870 1.48 1871 1.221 1872 1.111 1873 1.16 1874 0.997 1875 1.17 1876 0.957 1877 1.025 1878 1.333 1879 1.209 1880 0.965 1881 1.128 1882 0.7 1883 1.408 1884 1.237 1885 1.261 1886 0.953 1887 1.165 1888 0.875 1889 0.797 1890 1.02 1891 0.901 1892 0.983 1893 1.168 1894 1.043 1895 0.921 1896 0.932 1897 0.894 1898 1.134 1899 1.234 1900 1.044 1901 1.03 1902 0.989 1903 1.324 1904 1.112 1905 0.865 1906 1.218 1907 0.94 1908 1.014 1909 0.812 1910 1.224 1911 1.126 1912 1.231 1913 1.07 1914 0.773 1915 0.918 1916 1.057 1917 0.715 1918 0.901 1919 1.015 1920 0.554 1921 0.9 1922 1.126 1923 1.033 1924 1.023 1925 0.853 1926 0.894 1927 0.889 1928 1.015 1929 1.3 1930 1.285 1931 1.067 1932 1.203 1933 1.405 1934 1.25 1935 1.341 1936 1.636 1937 1.615 1938 1.755 1939 1.363 1940 1.582 1941 1.518 1942 1.51 1943 1.158 1944 1.395 1945 0.992 1946 1.314 1947 0.863 1948 1.066 1949 1.017 1950 1.006 1951 0.806 1952 0.755 1953 0.607 1954 0.875 1955 0.828 1956 0.814 1957 0.721 1958 0.782 1959 0.813 1960 0.736 1961 1.077 1962 0.975 1963 0.851 1964 0.654 1965 1.069 1966 0.972 1967 1.134 1968 0.949 1969 1.204 1970 1.376 1971 1.201 1972 0.875 1973 0.877 1974 1.301 1975 1.486 1976 0.811 1977 0.964 1978 1.281 1979 0.805 1980 0.562 1981 0.993 1982 0.452 1983 1.005 1984 0.785 1985 0.648 1986 0.787 1987 0.947 1988 0.78 1989 0.923 1990 0.949 1991 0.587