# asia_russ087w - Alagea 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/4306 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ087w - Alagea 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: Alagea River # Location: # Country: Russia # Northernmost_Latitude: 68.45 # Southernmost_Latitude: 68.45 # Easternmost_Longitude: 147.58 # Westernmost_Longitude: 147.58 # Elevation: 140 m #-------------------- # Data_Collection # Collection_Name: asia_russ087wB # Earliest_Year: 1633 # 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":"5.89596432478","T2":"16.9892355476","M1":"0.0216729721714","M2":"0.302606054514"}} #-------------------- # 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 1633 0.968 1634 0.837 1635 0.778 1636 0.442 1637 0.568 1638 0.891 1639 1.159 1640 1.045 1641 0.925 1642 0.323 1643 0.298 1644 0.571 1645 0.392 1646 0.963 1647 1.119 1648 1.349 1649 1.105 1650 0.945 1651 1.012 1652 1.134 1653 1.081 1654 0.959 1655 1.367 1656 1.077 1657 1.227 1658 1.241 1659 1.0 1660 1.427 1661 1.266 1662 1.453 1663 1.401 1664 1.679 1665 1.299 1666 1.258 1667 1.334 1668 1.079 1669 1.247 1670 0.835 1671 0.68 1672 1.161 1673 1.177 1674 1.523 1675 0.898 1676 1.043 1677 1.131 1678 0.891 1679 0.736 1680 0.751 1681 1.069 1682 1.408 1683 1.413 1684 0.247 1685 1.141 1686 1.095 1687 0.945 1688 1.264 1689 1.193 1690 0.855 1691 0.918 1692 0.794 1693 1.041 1694 0.859 1695 0.327 1696 0.538 1697 1.117 1698 0.603 1699 1.324 1700 1.072 1701 1.233 1702 0.869 1703 0.958 1704 1.258 1705 1.026 1706 1.029 1707 1.006 1708 0.973 1709 0.943 1710 1.342 1711 1.12 1712 0.976 1713 1.159 1714 0.871 1715 0.962 1716 1.105 1717 0.966 1718 0.647 1719 0.974 1720 1.325 1721 1.065 1722 1.302 1723 1.171 1724 0.65 1725 0.766 1726 1.267 1727 1.295 1728 1.258 1729 1.052 1730 0.547 1731 0.626 1732 1.314 1733 1.018 1734 0.974 1735 0.802 1736 0.803 1737 0.598 1738 0.676 1739 1.198 1740 0.765 1741 0.892 1742 1.03 1743 0.684 1744 0.8 1745 1.283 1746 0.726 1747 1.224 1748 1.03 1749 1.255 1750 0.812 1751 0.7 1752 1.145 1753 0.911 1754 0.767 1755 1.223 1756 0.94 1757 1.354 1758 1.09 1759 1.117 1760 1.139 1761 0.937 1762 0.617 1763 1.137 1764 0.704 1765 1.335 1766 1.079 1767 0.825 1768 0.331 1769 0.473 1770 0.738 1771 0.868 1772 0.659 1773 0.842 1774 0.808 1775 0.956 1776 0.664 1777 0.804 1778 0.869 1779 0.511 1780 0.246 1781 0.606 1782 0.765 1783 0.85 1784 0.713 1785 0.926 1786 1.01 1787 0.698 1788 0.839 1789 1.402 1790 1.148 1791 0.985 1792 1.335 1793 0.855 1794 0.688 1795 0.936 1796 0.699 1797 0.838 1798 1.01 1799 0.968 1800 0.788 1801 0.33 1802 1.26 1803 1.114 1804 0.663 1805 1.238 1806 1.057 1807 0.948 1808 1.155 1809 1.078 1810 1.083 1811 0.92 1812 0.677 1813 0.775 1814 0.745 1815 0.708 1816 0.719 1817 0.43 1818 0.456 1819 1.028 1820 0.995 1821 0.886 1822 0.328 1823 0.638 1824 0.77 1825 0.633 1826 0.757 1827 0.539 1828 0.752 1829 0.777 1830 0.76 1831 0.837 1832 0.8 1833 1.051 1834 1.099 1835 1.098 1836 1.108 1837 0.469 1838 0.858 1839 0.675 1840 0.755 1841 0.602 1842 0.502 1843 0.735 1844 0.559 1845 0.703 1846 0.641 1847 0.775 1848 0.589 1849 0.558 1850 0.561 1851 0.46 1852 0.413 1853 0.376 1854 0.371 1855 0.229 1856 0.159 1857 0.185 1858 0.325 1859 0.266 1860 0.292 1861 0.541 1862 0.449 1863 0.278 1864 0.393 1865 0.585 1866 0.615 1867 0.795 1868 0.695 1869 0.803 1870 1.252 1871 1.097 1872 0.822 1873 1.35 1874 1.213 1875 0.725 1876 1.107 1877 0.834 1878 1.211 1879 1.078 1880 1.205 1881 0.989 1882 0.917 1883 1.716 1884 1.11 1885 1.137 1886 1.015 1887 0.765 1888 1.213 1889 1.121 1890 1.486 1891 1.16 1892 1.03 1893 1.446 1894 1.41 1895 1.243 1896 0.822 1897 1.346 1898 1.979 1899 1.549 1900 1.093 1901 1.725 1902 1.509 1903 1.308 1904 1.571 1905 1.146 1906 1.248 1907 1.359 1908 1.066 1909 1.16 1910 1.42 1911 1.478 1912 1.498 1913 1.293 1914 1.786 1915 1.179 1916 1.376 1917 1.397 1918 0.794 1919 1.109 1920 1.193 1921 1.641 1922 1.477 1923 1.437 1924 1.789 1925 1.532 1926 1.571 1927 1.685 1928 1.488 1929 1.185 1930 1.544 1931 1.408 1932 1.405 1933 1.478 1934 1.284 1935 1.436 1936 1.325 1937 0.952 1938 1.592 1939 1.183 1940 1.592 1941 1.103 1942 1.523 1943 1.666 1944 1.536 1945 0.791 1946 1.114 1947 1.308 1948 1.389 1949 1.293 1950 1.566 1951 1.499 1952 1.367 1953 0.992 1954 0.885 1955 0.911 1956 0.968 1957 0.813 1958 0.988 1959 0.757 1960 1.117 1961 0.97 1962 0.586 1963 0.83 1964 0.907 1965 1.1 1966 0.881 1967 0.943 1968 1.169 1969 1.012 1970 1.121 1971 0.916 1972 0.475 1973 1.014 1974 0.781 1975 0.831 1976 0.742 1977 0.935 1978 0.75 1979 0.403 1980 0.651 1981 0.561 1982 0.608 1983 0.567 1984 0.27 1985 0.794 1986 0.742 1987 0.535 1988 0.668 1989 0.901 1990 0.666 1991 0.767