# asia_russ135w - Aktasch Valley (Altai) - 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/4305 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ135w - Aktasch Valley (Altai) - 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: Aktasch Valley (Altai) # Location: # Country: Russia # Northernmost_Latitude: 50.42 # Southernmost_Latitude: 50.42 # Easternmost_Longitude: 87.58 # Westernmost_Longitude: 87.58 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: asia_russ135wB # Earliest_Year: 1644 # 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":"4.64190626519","T2":"15.9244740493","M1":"0.0226631353178","M2":"0.463690071684"}} #-------------------- # 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 1644 0.987 1645 1.112 1646 1.069 1647 1.122 1648 1.395 1649 1.602 1650 0.937 1651 1.092 1652 0.834 1653 1.158 1654 0.938 1655 1.059 1656 1.197 1657 1.18 1658 0.987 1659 0.701 1660 0.774 1661 0.804 1662 0.646 1663 0.882 1664 0.868 1665 0.96 1666 0.826 1667 0.725 1668 0.582 1669 0.698 1670 0.58 1671 0.852 1672 0.916 1673 0.472 1674 0.788 1675 0.66 1676 0.86 1677 0.87 1678 0.888 1679 0.84 1680 0.859 1681 1.094 1682 1.23 1683 1.329 1684 0.874 1685 0.874 1686 0.983 1687 0.708 1688 0.774 1689 0.73 1690 0.945 1691 1.289 1692 1.057 1693 1.015 1694 1.323 1695 1.369 1696 0.828 1697 0.845 1698 0.592 1699 0.383 1700 0.543 1701 0.716 1702 0.665 1703 0.873 1704 0.893 1705 0.842 1706 0.81 1707 0.928 1708 1.009 1709 0.908 1710 0.659 1711 0.666 1712 0.842 1713 0.919 1714 0.981 1715 1.118 1716 1.215 1717 1.185 1718 1.1 1719 1.128 1720 1.391 1721 1.135 1722 1.703 1723 0.986 1724 0.93 1725 1.421 1726 1.366 1727 1.241 1728 1.208 1729 1.35 1730 1.034 1731 1.316 1732 0.996 1733 0.777 1734 1.161 1735 0.91 1736 0.93 1737 1.088 1738 1.229 1739 1.504 1740 1.29 1741 1.113 1742 0.956 1743 0.909 1744 0.947 1745 0.911 1746 0.815 1747 1.079 1748 1.072 1749 1.157 1750 0.874 1751 0.917 1752 1.011 1753 1.137 1754 0.868 1755 1.093 1756 1.026 1757 1.055 1758 1.026 1759 1.242 1760 0.496 1761 0.608 1762 0.989 1763 1.1 1764 0.784 1765 1.017 1766 1.042 1767 0.96 1768 0.529 1769 0.732 1770 0.873 1771 0.829 1772 0.69 1773 0.968 1774 0.766 1775 0.502 1776 0.617 1777 1.043 1778 0.984 1779 1.006 1780 1.017 1781 1.152 1782 1.24 1783 1.088 1784 0.976 1785 0.749 1786 1.079 1787 1.222 1788 0.629 1789 0.932 1790 1.069 1791 0.873 1792 1.026 1793 1.004 1794 0.932 1795 0.949 1796 0.853 1797 0.755 1798 0.987 1799 0.877 1800 0.893 1801 1.062 1802 1.022 1803 1.225 1804 0.988 1805 1.244 1806 1.557 1807 1.324 1808 1.454 1809 1.244 1810 1.572 1811 1.668 1812 1.379 1813 0.97 1814 0.85 1815 1.179 1816 1.062 1817 1.06 1818 1.141 1819 0.855 1820 0.984 1821 1.251 1822 1.034 1823 0.969 1824 1.13 1825 1.073 1826 1.081 1827 1.132 1828 1.191 1829 1.331 1830 1.586 1831 1.193 1832 1.095 1833 0.703 1834 0.921 1835 0.846 1836 0.954 1837 1.064 1838 1.056 1839 1.024 1840 0.758 1841 0.973 1842 0.746 1843 0.95 1844 1.067 1845 1.128 1846 1.284 1847 0.944 1848 1.194 1849 0.943 1850 0.603 1851 0.911 1852 0.855 1853 1.068 1854 0.686 1855 1.029 1856 1.173 1857 1.448 1858 1.146 1859 1.137 1860 1.248 1861 1.031 1862 1.13 1863 1.011 1864 1.176 1865 1.015 1866 0.958 1867 0.889 1868 1.106 1869 0.763 1870 0.882 1871 0.558 1872 0.573 1873 0.611 1874 0.409 1875 0.281 1876 0.503 1877 0.713 1878 0.696 1879 0.849 1880 0.993 1881 1.059 1882 1.047 1883 1.066 1884 0.801 1885 1.078 1886 1.078 1887 0.887 1888 1.12 1889 1.373 1890 1.023 1891 1.107 1892 1.008 1893 0.943 1894 0.971 1895 1.01 1896 0.942 1897 1.08 1898 1.148 1899 0.886 1900 0.907 1901 0.831 1902 0.634 1903 0.729 1904 0.941 1905 0.84 1906 0.812 1907 0.799 1908 1.185 1909 1.22 1910 0.879 1911 0.45 1912 0.774 1913 0.926 1914 0.744 1915 1.057 1916 1.143 1917 0.819 1918 1.044 1919 0.794 1920 1.048 1921 0.98 1922 0.642 1923 0.628 1924 0.794 1925 0.796 1926 0.949 1927 0.698 1928 1.307 1929 1.238 1930 1.238 1931 1.161 1932 1.297 1933 1.284 1934 1.189 1935 1.319 1936 1.203 1937 1.217 1938 0.958 1939 1.075 1940 0.904 1941 1.136 1942 1.048 1943 0.865 1944 1.047 1945 1.248 1946 1.287 1947 1.13 1948 1.164 1949 1.075 1950 1.332 1951 1.287 1952 0.722 1953 1.172 1954 1.03 1955 1.291 1956 1.017 1957 1.558 1958 0.833 1959 1.099 1960 0.769 1961 0.343 1962 0.686 1963 0.802 1964 0.832 1965 0.946 1966 1.081 1967 0.955 1968 1.19 1969 1.109 1970 0.895 1971 0.641 1972 0.68 1973 0.757 1974 1.045 1975 0.89 1976 1.04 1977 1.127 1978 0.993 1979 1.171 1980 1.165 1981 1.277 1982 1.16 1983 0.926 1984 0.943 1985 0.57 1986 0.556 1987 0.633 1988 0.601 1989 0.671 1990 0.669 1991 0.781 1992 0.792 1993 0.633 1994 0.813