# asia_russ019 - Lukunska 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/3602 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ019 - Lukunska 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: Lukunska River # Location: # Country: Russia # Northernmost_Latitude: 72.5 # Southernmost_Latitude: 72.5 # Easternmost_Longitude: 105.17 # Westernmost_Longitude: 105.17 # Elevation: 40 m #-------------------- # Data_Collection # Collection_Name: asia_russ019B # Earliest_Year: 1580 # Most_Recent_Year: 1997 # 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":"4.64665697915","T2":"19.7461262831","M1":"0.0222282041316","M2":"0.162311394337"}} #-------------------- # 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 1580 1.329 1581 0.672 1582 0.877 1583 0.553 1584 1.4 1585 0.555 1586 1.37 1587 0.821 1588 0.548 1589 0.066 1590 0.735 1591 0.331 1592 0.799 1593 0.646 1594 0.89 1595 0.416 1596 0.59 1597 0.492 1598 0.843 1599 0.977 1600 0.258 1601 0.433 1602 0.684 1603 0.445 1604 0.631 1605 1.016 1606 0.855 1607 0.619 1608 0.881 1609 1.169 1610 1.499 1611 1.014 1612 0.774 1613 1.864 1614 1.251 1615 0.837 1616 1.433 1617 0.657 1618 0.339 1619 0.482 1620 0.66 1621 1.186 1622 0.264 1623 0.782 1624 1.012 1625 0.901 1626 1.233 1627 1.063 1628 0.782 1629 0.532 1630 1.843 1631 0.721 1632 1.455 1633 1.126 1634 1.093 1635 1.059 1636 1.123 1637 1.444 1638 0.673 1639 1.471 1640 1.638 1641 1.812 1642 0.046 1643 0.575 1644 0.61 1645 1.416 1646 1.45 1647 0.986 1648 0.118 1649 0.676 1650 0.648 1651 0.85 1652 1.11 1653 0.283 1654 1.215 1655 1.167 1656 0.903 1657 0.85 1658 0.936 1659 1.425 1660 0.409 1661 1.165 1662 1.074 1663 0.61 1664 0.685 1665 0.726 1666 1.624 1667 1.811 1668 1.495 1669 1.227 1670 0.725 1671 0.857 1672 1.099 1673 2.084 1674 0.941 1675 1.142 1676 1.069 1677 1.513 1678 0.971 1679 0.996 1680 1.388 1681 1.497 1682 0.556 1683 1.09 1684 0.712 1685 0.292 1686 1.004 1687 1.013 1688 1.557 1689 1.179 1690 1.107 1691 1.966 1692 0.946 1693 1.249 1694 1.294 1695 1.227 1696 0.397 1697 0.57 1698 0.123 1699 0.089 1700 0.548 1701 0.56 1702 0.306 1703 0.723 1704 1.14 1705 1.542 1706 1.29 1707 1.731 1708 0.756 1709 0.622 1710 0.872 1711 0.746 1712 0.841 1713 1.357 1714 0.932 1715 1.938 1716 1.662 1717 1.454 1718 0.178 1719 1.153 1720 1.471 1721 1.592 1722 1.322 1723 0.96 1724 1.355 1725 1.252 1726 1.284 1727 2.323 1728 0.622 1729 1.778 1730 1.089 1731 0.636 1732 0.4 1733 0.744 1734 0.992 1735 0.497 1736 0.842 1737 0.88 1738 1.026 1739 1.178 1740 0.971 1741 1.021 1742 0.288 1743 1.101 1744 1.878 1745 0.617 1746 1.12 1747 1.672 1748 1.537 1749 1.21 1750 0.803 1751 0.791 1752 1.039 1753 0.694 1754 0.546 1755 0.229 1756 0.225 1757 0.821 1758 1.105 1759 1.027 1760 0.4 1761 0.913 1762 0.664 1763 1.64 1764 1.064 1765 1.51 1766 1.328 1767 1.513 1768 1.182 1769 1.848 1770 0.525 1771 0.986 1772 0.423 1773 0.277 1774 1.001 1775 1.272 1776 1.116 1777 1.408 1778 1.249 1779 0.602 1780 0.786 1781 0.42 1782 1.21 1783 0.45 1784 0.973 1785 0.908 1786 0.251 1787 1.078 1788 0.899 1789 1.297 1790 1.082 1791 0.672 1792 0.945 1793 1.246 1794 1.291 1795 1.019 1796 1.02 1797 0.651 1798 0.16 1799 0.246 1800 0.256 1801 0.609 1802 0.966 1803 1.104 1804 0.922 1805 1.025 1806 1.212 1807 0.416 1808 1.356 1809 1.197 1810 0.689 1811 0.671 1812 0.218 1813 0.157 1814 0.211 1815 0.297 1816 0.365 1817 0.436 1818 0.51 1819 0.587 1820 0.199 1821 0.563 1822 0.55 1823 0.438 1824 0.601 1825 0.197 1826 0.388 1827 0.367 1828 0.59 1829 0.696 1830 0.491 1831 0.469 1832 0.446 1833 0.205 1834 0.394 1835 0.734 1836 0.491 1837 0.227 1838 0.418 1839 0.469 1840 0.568 1841 0.602 1842 0.528 1843 0.53 1844 0.535 1845 0.658 1846 0.57 1847 0.217 1848 0.42 1849 0.518 1850 0.652 1851 0.405 1852 1.164 1853 0.819 1854 0.979 1855 0.872 1856 1.068 1857 1.19 1858 0.785 1859 0.906 1860 1.417 1861 1.2 1862 1.077 1863 1.164 1864 1.615 1865 1.897 1866 0.321 1867 0.725 1868 1.399 1869 0.399 1870 0.485 1871 0.647 1872 0.966 1873 0.717 1874 0.411 1875 0.922 1876 0.697 1877 1.268 1878 1.724 1879 1.096 1880 1.23 1881 1.027 1882 1.058 1883 1.308 1884 0.44 1885 0.153 1886 0.201 1887 0.862 1888 0.832 1889 0.479 1890 0.565 1891 1.115 1892 0.961 1893 0.588 1894 1.418 1895 0.963 1896 1.33 1897 2.305 1898 1.011 1899 0.617 1900 0.714 1901 0.908 1902 1.175 1903 0.8 1904 0.625 1905 0.495 1906 0.55 1907 0.534 1908 1.523 1909 0.863 1910 0.821 1911 0.634 1912 0.319 1913 0.272 1914 1.145 1915 0.839 1916 1.225 1917 1.191 1918 1.052 1919 1.617 1920 1.529 1921 1.298 1922 1.373 1923 1.05 1924 1.61 1925 0.927 1926 1.665 1927 0.684 1928 1.695 1929 1.505 1930 1.314 1931 0.799 1932 1.232 1933 1.105 1934 0.965 1935 1.498 1936 1.536 1937 1.199 1938 1.525 1939 1.574 1940 1.757 1941 2.113 1942 1.929 1943 1.749 1944 1.133 1945 1.752 1946 1.606 1947 1.232 1948 1.872 1949 1.154 1950 0.928 1951 1.192 1952 0.966 1953 1.619 1954 0.675 1955 1.314 1956 1.477 1957 1.223 1958 1.075 1959 1.341 1960 0.945 1961 1.187 1962 0.871 1963 0.74 1964 1.287 1965 1.091 1966 1.139 1967 1.386 1968 1.087 1969 1.266 1970 0.84 1971 0.791 1972 0.724 1973 0.666 1974 0.581 1975 0.62 1976 0.839 1977 0.529 1978 0.832 1979 1.441 1980 0.424 1981 0.727 1982 0.947 1983 0.757 1984 1.397 1985 0.489 1986 0.959 1987 0.831 1988 0.837 1989 0.332 1990 0.714 1991 0.996 1992 0.636 1993 0.443 1994 0.859 1995 0.414 1996 0.57 1997 0.627