# asia_russ114w - Omoloya 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/4577 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ114w - Omoloya 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: Omoloya River # Location: # Country: Russia # Northernmost_Latitude: 70.95 # Southernmost_Latitude: 70.95 # Easternmost_Longitude: 132.98 # Westernmost_Longitude: 132.98 # Elevation: 20 m #-------------------- # Data_Collection # Collection_Name: asia_russ114wB # Earliest_Year: 1626 # 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":"6.29982952827","T2":"20.8919180703","M1":"0.0209279497641","M2":"0.128610787068"}} #-------------------- # 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 1626 1.528 1627 0.691 1628 0.539 1629 0.793 1630 1.237 1631 1.148 1632 0.597 1633 0.841 1634 1.202 1635 0.882 1636 0.647 1637 1.127 1638 1.178 1639 0.885 1640 0.8 1641 0.572 1642 0.176 1643 0.472 1644 1.391 1645 0.363 1646 0.961 1647 0.681 1648 0.794 1649 0.92 1650 0.908 1651 1.062 1652 0.939 1653 1.012 1654 1.388 1655 1.615 1656 0.983 1657 1.387 1658 0.986 1659 1.436 1660 1.569 1661 0.588 1662 1.133 1663 1.178 1664 1.918 1665 1.827 1666 1.335 1667 1.734 1668 1.276 1669 0.941 1670 1.243 1671 0.488 1672 1.071 1673 1.17 1674 0.559 1675 0.298 1676 0.964 1677 0.562 1678 0.995 1679 0.678 1680 0.13 1681 0.6 1682 0.818 1683 1.121 1684 0.546 1685 0.526 1686 1.023 1687 0.81 1688 1.15 1689 1.337 1690 0.613 1691 1.2 1692 0.866 1693 1.848 1694 1.053 1695 0.309 1696 0.603 1697 1.15 1698 0.165 1699 0.754 1700 0.671 1701 0.822 1702 0.768 1703 1.29 1704 0.95 1705 0.856 1706 0.802 1707 0.637 1708 1.189 1709 0.283 1710 1.382 1711 1.054 1712 0.866 1713 1.184 1714 0.991 1715 0.639 1716 1.319 1717 1.068 1718 0.769 1719 1.159 1720 1.019 1721 0.89 1722 1.102 1723 1.404 1724 0.593 1725 0.54 1726 1.238 1727 1.368 1728 1.18 1729 0.955 1730 0.513 1731 1.204 1732 1.812 1733 1.225 1734 1.019 1735 0.972 1736 1.005 1737 0.93 1738 0.946 1739 1.404 1740 0.537 1741 0.683 1742 0.905 1743 1.187 1744 0.997 1745 1.432 1746 1.27 1747 1.773 1748 1.196 1749 1.131 1750 1.545 1751 1.378 1752 1.167 1753 0.987 1754 0.521 1755 1.694 1756 0.848 1757 2.298 1758 1.028 1759 0.978 1760 0.975 1761 1.01 1762 0.459 1763 2.065 1764 0.935 1765 1.258 1766 1.69 1767 0.992 1768 1.171 1769 0.877 1770 0.376 1771 0.915 1772 0.703 1773 0.988 1774 1.343 1775 1.12 1776 1.026 1777 1.093 1778 1.097 1779 0.43 1780 0.752 1781 1.312 1782 1.394 1783 0.95 1784 1.504 1785 1.198 1786 0.831 1787 1.079 1788 0.981 1789 1.104 1790 1.135 1791 0.63 1792 0.971 1793 0.851 1794 0.277 1795 1.098 1796 0.497 1797 0.815 1798 1.107 1799 0.492 1800 0.379 1801 0.294 1802 0.535 1803 0.811 1804 0.213 1805 0.361 1806 0.797 1807 0.624 1808 0.924 1809 0.31 1810 1.054 1811 0.967 1812 0.683 1813 0.193 1814 1.059 1815 0.944 1816 0.923 1817 0.406 1818 0.432 1819 0.769 1820 1.132 1821 1.014 1822 0.31 1823 0.453 1824 1.036 1825 0.592 1826 0.947 1827 0.442 1828 1.065 1829 0.795 1830 0.674 1831 0.824 1832 0.88 1833 0.936 1834 1.258 1835 0.991 1836 1.432 1837 0.355 1838 0.607 1839 0.898 1840 0.99 1841 0.815 1842 0.843 1843 0.986 1844 0.659 1845 0.831 1846 1.118 1847 0.988 1848 0.516 1849 0.5 1850 1.138 1851 0.506 1852 1.117 1853 1.06 1854 0.508 1855 1.108 1856 1.294 1857 0.608 1858 0.912 1859 0.819 1860 1.716 1861 1.215 1862 1.454 1863 0.391 1864 1.029 1865 1.514 1866 1.583 1867 1.862 1868 1.545 1869 1.235 1870 1.418 1871 1.596 1872 1.304 1873 1.45 1874 1.433 1875 0.384 1876 1.347 1877 0.994 1878 1.135 1879 1.261 1880 1.327 1881 1.384 1882 1.042 1883 1.707 1884 1.408 1885 1.448 1886 0.53 1887 0.343 1888 0.73 1889 0.891 1890 1.018 1891 0.888 1892 0.649 1893 0.469 1894 0.655 1895 1.143 1896 1.078 1897 1.084 1898 1.088 1899 0.981 1900 0.167 1901 0.996 1902 0.964 1903 0.945 1904 0.816 1905 0.163 1906 0.995 1907 1.34 1908 0.807 1909 0.774 1910 0.866 1911 0.916 1912 1.181 1913 1.052 1914 1.732 1915 0.317 1916 0.699 1917 1.012 1918 0.439 1919 1.06 1920 1.183 1921 0.929 1922 1.241 1923 0.587 1924 0.992 1925 0.941 1926 1.035 1927 0.544 1928 0.706 1929 1.032 1930 1.417 1931 1.417 1932 0.958 1933 1.917 1934 1.332 1935 1.158 1936 1.482 1937 0.79 1938 2.022 1939 1.119 1940 2.144 1941 0.978 1942 1.423 1943 0.659 1944 1.178 1945 0.748 1946 1.284 1947 1.505 1948 0.938 1949 0.373 1950 1.023 1951 1.146 1952 0.746 1953 0.977 1954 1.058 1955 1.371 1956 1.464 1957 0.651 1958 1.109 1959 0.88 1960 1.35 1961 1.164 1962 0.23 1963 0.639 1964 1.101 1965 0.791 1966 0.677 1967 0.819 1968 1.081 1969 0.731 1970 0.892 1971 0.521 1972 0.53 1973 0.678 1974 1.066 1975 0.893 1976 0.775 1977 0.652 1978 0.429 1979 0.606 1980 0.321 1981 0.707 1982 0.513 1983 0.56 1984 0.528 1985 0.645 1986 1.211 1987 0.541 1988 0.881 1989 0.372 1990 0.74 1991 0.597