# asia_russ131w - Tyn hill (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/4701 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ131w - Tyn hill (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: Tyn hill (Altai) # Location: # Country: Russia # Northernmost_Latitude: 54.23 # Southernmost_Latitude: 54.23 # Easternmost_Longitude: 89.58 # Westernmost_Longitude: 89.58 # Elevation: 650 m #-------------------- # Data_Collection # Collection_Name: asia_russ131wB # Earliest_Year: 1680 # Most_Recent_Year: 1994 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"2.98157327681","T2":"13.890891288","M1":"0.0229570369282","M2":"0.571141825644"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1680 0.508 1681 1.066 1682 1.268 1683 0.589 1684 0.82 1685 0.692 1686 0.898 1687 0.923 1688 0.994 1689 0.631 1690 1.099 1691 0.872 1692 0.865 1693 0.855 1694 1.092 1695 1.236 1696 1.234 1697 1.154 1698 1.048 1699 1.364 1700 0.965 1701 1.122 1702 1.251 1703 1.127 1704 1.169 1705 0.865 1706 1.504 1707 1.29 1708 1.374 1709 1.256 1710 1.122 1711 1.229 1712 1.148 1713 1.091 1714 0.972 1715 0.269 1716 0.791 1717 0.787 1718 1.11 1719 1.239 1720 0.959 1721 0.991 1722 1.042 1723 1.202 1724 0.959 1725 1.172 1726 1.254 1727 1.356 1728 0.993 1729 0.875 1730 0.93 1731 0.578 1732 0.488 1733 0.806 1734 0.787 1735 0.585 1736 0.747 1737 0.831 1738 0.466 1739 0.889 1740 1.08 1741 1.321 1742 1.16 1743 0.707 1744 0.718 1745 0.749 1746 0.705 1747 0.852 1748 0.878 1749 0.763 1750 0.348 1751 0.454 1752 1.159 1753 0.797 1754 0.869 1755 0.777 1756 1.3 1757 0.907 1758 1.159 1759 1.039 1760 0.675 1761 1.071 1762 1.338 1763 1.435 1764 1.081 1765 0.811 1766 1.057 1767 0.303 1768 0.871 1769 0.638 1770 0.726 1771 1.109 1772 0.117 1773 1.034 1774 0.889 1775 1.152 1776 0.949 1777 1.313 1778 1.228 1779 1.182 1780 1.378 1781 1.548 1782 0.66 1783 1.542 1784 1.186 1785 1.067 1786 1.306 1787 0.713 1788 0.822 1789 0.58 1790 1.009 1791 1.317 1792 0.477 1793 1.17 1794 1.079 1795 0.996 1796 0.97 1797 0.904 1798 0.794 1799 1.13 1800 1.224 1801 0.935 1802 0.737 1803 0.787 1804 0.721 1805 0.609 1806 0.934 1807 0.616 1808 0.413 1809 1.005 1810 0.857 1811 1.037 1812 0.635 1813 0.783 1814 1.04 1815 1.046 1816 0.834 1817 0.98 1818 1.163 1819 0.986 1820 0.815 1821 1.276 1822 1.547 1823 0.976 1824 1.264 1825 1.284 1826 1.325 1827 1.441 1828 1.486 1829 1.397 1830 1.286 1831 1.049 1832 1.318 1833 1.366 1834 1.6 1835 1.412 1836 1.951 1837 1.218 1838 1.669 1839 0.545 1840 0.44 1841 0.841 1842 1.039 1843 0.801 1844 0.941 1845 1.16 1846 1.212 1847 0.587 1848 0.824 1849 0.392 1850 0.232 1851 0.761 1852 0.882 1853 0.972 1854 1.258 1855 0.83 1856 1.173 1857 1.419 1858 0.836 1859 0.744 1860 1.347 1861 1.241 1862 1.289 1863 0.475 1864 0.989 1865 1.192 1866 1.028 1867 0.638 1868 1.275 1869 1.424 1870 1.181 1871 1.642 1872 1.429 1873 1.476 1874 0.674 1875 0.92 1876 0.644 1877 0.585 1878 0.53 1879 0.68 1880 0.75 1881 0.973 1882 0.506 1883 1.04 1884 0.597 1885 0.743 1886 1.14 1887 1.099 1888 0.977 1889 1.291 1890 1.342 1891 1.09 1892 0.967 1893 0.998 1894 1.06 1895 1.557 1896 0.539 1897 0.769 1898 0.963 1899 1.237 1900 0.748 1901 0.242 1902 0.953 1903 1.094 1904 0.82 1905 0.976 1906 1.054 1907 0.721 1908 0.608 1909 0.457 1910 0.325 1911 0.514 1912 1.006 1913 0.907 1914 0.851 1915 0.705 1916 0.904 1917 0.906 1918 0.515 1919 0.719 1920 0.723 1921 0.621 1922 1.183 1923 1.044 1924 0.796 1925 1.296 1926 1.474 1927 1.935 1928 1.526 1929 1.501 1930 0.859 1931 1.154 1932 1.159 1933 1.28 1934 0.857 1935 1.267 1936 1.417 1937 1.176 1938 1.705 1939 1.378 1940 0.906 1941 1.302 1942 0.869 1943 0.788 1944 1.078 1945 0.249 1946 0.58 1947 0.915 1948 1.068 1949 0.999 1950 1.112 1951 0.698 1952 1.169 1953 1.147 1954 1.346 1955 1.234 1956 1.122 1957 0.841 1958 1.17 1959 1.147 1960 1.059 1961 0.974 1962 1.166 1963 0.842 1964 0.944 1965 0.541 1966 0.707 1967 0.511 1968 0.714 1969 0.781 1970 0.831 1971 0.924 1972 1.095 1973 1.032 1974 0.447 1975 0.533 1976 0.356 1977 0.574 1978 0.582 1979 0.585 1980 0.724 1981 0.699 1982 0.751 1983 1.131 1984 1.04 1985 1.305 1986 1.296 1987 1.07 1988 1.183 1989 1.111 1990 1.306 1991 1.299 1992 0.72 1993 1.339 1994 0.719