# asia_russ024w - Kotuykan River B - 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/4477 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ024w - Kotuykan River B - 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: Kotuykan River B # Location: # Country: Russia # Northernmost_Latitude: 70.6 # Southernmost_Latitude: 70.6 # Easternmost_Longitude: 104.25 # Westernmost_Longitude: 104.25 # Elevation: 130 m #-------------------- # Data_Collection # Collection_Name: asia_russ024wB # Earliest_Year: 1632 # Most_Recent_Year: 1990 # 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":"2.97641334076","T2":"16.8103175685","M1":"0.0216457742917","M2":"0.401583273588"}} #-------------------- # 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 1632 0.982 1633 0.909 1634 1.109 1635 1.223 1636 1.252 1637 1.474 1638 0.409 1639 1.45 1640 1.823 1641 1.544 1642 0.33 1643 1.011 1644 0.566 1645 1.188 1646 1.392 1647 0.671 1648 1.071 1649 1.341 1650 1.035 1651 0.76 1652 1.342 1653 0.717 1654 1.291 1655 1.253 1656 1.082 1657 0.665 1658 1.007 1659 1.22 1660 0.809 1661 0.826 1662 1.028 1663 0.612 1664 0.71 1665 1.01 1666 1.382 1667 2.201 1668 1.761 1669 1.89 1670 0.85 1671 1.251 1672 1.342 1673 1.239 1674 0.731 1675 1.028 1676 0.929 1677 1.013 1678 0.577 1679 0.685 1680 1.008 1681 0.38 1682 0.753 1683 1.03 1684 0.979 1685 0.432 1686 1.27 1687 1.013 1688 0.587 1689 1.401 1690 1.017 1691 1.364 1692 1.192 1693 1.181 1694 0.597 1695 1.232 1696 0.365 1697 0.768 1698 0.413 1699 0.575 1700 0.819 1701 0.62 1702 0.593 1703 0.895 1704 0.991 1705 1.663 1706 1.454 1707 1.52 1708 0.658 1709 1.366 1710 1.011 1711 0.736 1712 1.072 1713 1.094 1714 0.279 1715 1.093 1716 1.085 1717 1.013 1718 0.463 1719 1.005 1720 1.016 1721 1.032 1722 0.829 1723 0.496 1724 0.684 1725 0.864 1726 0.588 1727 1.413 1728 0.386 1729 1.351 1730 1.13 1731 0.692 1732 0.774 1733 1.085 1734 1.089 1735 0.486 1736 0.673 1737 1.125 1738 0.897 1739 1.08 1740 1.268 1741 0.726 1742 0.258 1743 1.246 1744 1.377 1745 1.424 1746 1.229 1747 1.707 1748 1.874 1749 1.373 1750 1.325 1751 1.028 1752 1.498 1753 1.038 1754 0.76 1755 1.063 1756 1.073 1757 1.512 1758 0.899 1759 0.617 1760 0.547 1761 1.134 1762 0.954 1763 1.211 1764 0.814 1765 1.318 1766 1.315 1767 1.296 1768 0.824 1769 1.453 1770 0.642 1771 0.834 1772 0.736 1773 0.341 1774 1.142 1775 1.481 1776 0.975 1777 1.511 1778 1.094 1779 0.271 1780 0.722 1781 0.951 1782 1.105 1783 0.891 1784 1.433 1785 1.224 1786 1.204 1787 1.213 1788 0.992 1789 1.405 1790 0.888 1791 0.835 1792 0.808 1793 1.165 1794 1.261 1795 0.799 1796 1.146 1797 0.767 1798 0.699 1799 0.973 1800 0.413 1801 0.675 1802 0.64 1803 0.867 1804 0.896 1805 0.848 1806 1.155 1807 0.428 1808 1.047 1809 0.826 1810 0.722 1811 0.89 1812 0.45 1813 0.632 1814 0.796 1815 0.557 1816 0.971 1817 0.499 1818 1.087 1819 0.429 1820 0.495 1821 0.806 1822 1.054 1823 0.938 1824 0.768 1825 0.319 1826 0.977 1827 0.448 1828 1.01 1829 1.306 1830 0.384 1831 1.322 1832 0.627 1833 0.505 1834 0.78 1835 1.126 1836 0.919 1837 0.679 1838 0.404 1839 0.658 1840 1.35 1841 1.018 1842 1.035 1843 0.752 1844 0.768 1845 0.842 1846 1.069 1847 0.854 1848 0.928 1849 0.302 1850 0.776 1851 0.762 1852 1.345 1853 0.959 1854 0.863 1855 0.66 1856 1.001 1857 1.147 1858 1.351 1859 0.841 1860 1.67 1861 1.645 1862 1.312 1863 1.218 1864 1.43 1865 1.446 1866 1.044 1867 0.711 1868 1.578 1869 0.323 1870 1.116 1871 0.839 1872 1.191 1873 0.41 1874 0.765 1875 1.265 1876 0.684 1877 1.361 1878 1.112 1879 1.571 1880 1.503 1881 1.414 1882 1.361 1883 1.301 1884 0.995 1885 1.094 1886 0.825 1887 1.094 1888 1.193 1889 0.64 1890 0.842 1891 1.311 1892 1.299 1893 0.866 1894 0.9 1895 1.173 1896 1.662 1897 1.244 1898 0.672 1899 0.359 1900 0.126 1901 0.961 1902 0.867 1903 0.586 1904 0.748 1905 0.335 1906 0.941 1907 0.728 1908 1.23 1909 0.771 1910 0.776 1911 0.813 1912 0.289 1913 0.847 1914 1.246 1915 1.551 1916 1.324 1917 1.076 1918 1.479 1919 1.343 1920 1.133 1921 0.672 1922 1.266 1923 1.152 1924 1.261 1925 0.928 1926 1.205 1927 0.471 1928 0.96 1929 0.734 1930 1.387 1931 0.893 1932 1.379 1933 1.305 1934 1.236 1935 1.136 1936 1.307 1937 1.328 1938 1.573 1939 1.893 1940 1.728 1941 1.847 1942 1.759 1943 1.795 1944 1.05 1945 1.892 1946 1.399 1947 0.771 1948 1.347 1949 0.504 1950 1.449 1951 0.846 1952 1.526 1953 1.532 1954 1.35 1955 1.367 1956 0.728 1957 0.624 1958 0.574 1959 1.026 1960 0.769 1961 0.739 1962 0.899 1963 0.59 1964 1.038 1965 0.467 1966 0.685 1967 0.974 1968 0.82 1969 0.774 1970 0.961 1971 0.571 1972 0.858 1973 0.447 1974 0.366 1975 0.817 1976 0.813 1977 0.58 1978 0.559 1979 0.937 1980 0.189 1981 0.504 1982 0.701 1983 0.731 1984 0.995 1985 0.617 1986 0.903 1987 0.667 1988 1.059 1989 0.344 1990 1.267