# asia_russ143w - Kubaka right bank middle - 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/4484 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ143w - Kubaka right bank middle - 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: Kubaka right bank middle # Location: # Country: Russia # Northernmost_Latitude: 63.67 # Southernmost_Latitude: 63.67 # Easternmost_Longitude: 159.95 # Westernmost_Longitude: 159.95 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: asia_russ143wB # Earliest_Year: 1653 # Most_Recent_Year: 1994 # 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":"3.09592060565","T2":"17.8395307504","M1":"0.0221453887543","M2":"0.308794061141"}} #-------------------- # 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 1653 1.177 1654 0.912 1655 0.869 1656 1.114 1657 1.041 1658 0.901 1659 1.089 1660 1.182 1661 0.821 1662 0.715 1663 0.849 1664 0.792 1665 0.969 1666 0.604 1667 0.787 1668 0.61 1669 0.855 1670 0.804 1671 0.473 1672 0.547 1673 0.224 1674 0.732 1675 0.652 1676 0.179 1677 0.409 1678 0.661 1679 0.237 1680 0.27 1681 0.352 1682 0.731 1683 0.433 1684 0.774 1685 0.785 1686 0.897 1687 1.168 1688 1.097 1689 0.885 1690 1.009 1691 1.159 1692 0.973 1693 0.937 1694 1.337 1695 0.386 1696 0.798 1697 1.015 1698 0.63 1699 1.31 1700 1.238 1701 0.809 1702 1.297 1703 1.418 1704 1.582 1705 1.03 1706 0.988 1707 0.503 1708 0.843 1709 0.668 1710 0.907 1711 0.727 1712 1.638 1713 1.071 1714 0.588 1715 0.433 1716 1.073 1717 1.158 1718 0.955 1719 0.823 1720 1.268 1721 0.908 1722 0.963 1723 0.763 1724 0.392 1725 0.706 1726 0.572 1727 1.009 1728 0.382 1729 0.844 1730 0.506 1731 0.588 1732 0.526 1733 0.376 1734 0.516 1735 0.78 1736 0.713 1737 0.519 1738 0.974 1739 1.193 1740 0.597 1741 0.429 1742 0.89 1743 0.204 1744 0.765 1745 1.252 1746 1.589 1747 1.168 1748 1.071 1749 1.033 1750 1.685 1751 1.503 1752 1.854 1753 1.988 1754 1.392 1755 1.554 1756 1.808 1757 2.167 1758 1.391 1759 1.534 1760 1.314 1761 1.186 1762 0.905 1763 1.643 1764 1.01 1765 0.602 1766 1.952 1767 1.225 1768 0.636 1769 0.796 1770 1.059 1771 1.43 1772 0.997 1773 0.99 1774 1.222 1775 1.227 1776 1.162 1777 0.167 1778 1.374 1779 1.582 1780 2.277 1781 2.195 1782 2.336 1783 2.385 1784 1.542 1785 1.608 1786 1.223 1787 1.112 1788 0.668 1789 1.314 1790 1.04 1791 1.068 1792 1.511 1793 1.031 1794 0.441 1795 1.224 1796 1.073 1797 0.674 1798 1.194 1799 1.229 1800 1.458 1801 1.234 1802 1.305 1803 1.38 1804 1.279 1805 1.396 1806 1.172 1807 1.444 1808 0.923 1809 1.208 1810 0.588 1811 0.887 1812 0.39 1813 0.564 1814 1.186 1815 0.609 1816 0.923 1817 0.267 1818 0.519 1819 0.973 1820 0.984 1821 0.771 1822 0.18 1823 0.404 1824 0.78 1825 0.769 1826 0.654 1827 0.575 1828 0.601 1829 0.78 1830 0.701 1831 1.063 1832 0.4 1833 1.127 1834 0.888 1835 0.942 1836 0.769 1837 0.609 1838 0.761 1839 0.769 1840 0.834 1841 0.672 1842 0.352 1843 0.304 1844 0.723 1845 0.824 1846 0.77 1847 0.704 1848 0.11 1849 0.606 1850 0.644 1851 0.711 1852 0.553 1853 1.053 1854 1.012 1855 0.771 1856 0.744 1857 0.533 1858 0.707 1859 1.148 1860 0.938 1861 1.009 1862 0.535 1863 0.613 1864 0.532 1865 0.76 1866 0.918 1867 0.53 1868 0.893 1869 1.128 1870 1.207 1871 1.283 1872 1.157 1873 1.422 1874 1.364 1875 1.128 1876 0.959 1877 1.024 1878 1.314 1879 0.894 1880 0.863 1881 1.012 1882 0.818 1883 0.911 1884 1.186 1885 0.632 1886 0.927 1887 0.503 1888 0.498 1889 0.882 1890 0.899 1891 0.843 1892 1.068 1893 1.268 1894 1.338 1895 1.032 1896 1.317 1897 0.805 1898 1.096 1899 1.08 1900 1.4 1901 0.927 1902 1.138 1903 0.747 1904 0.916 1905 0.595 1906 0.88 1907 0.665 1908 0.786 1909 0.653 1910 1.106 1911 0.962 1912 0.7 1913 0.819 1914 1.054 1915 1.185 1916 1.078 1917 0.71 1918 0.57 1919 1.193 1920 0.972 1921 0.893 1922 0.992 1923 0.952 1924 1.012 1925 1.059 1926 1.003 1927 0.818 1928 1.092 1929 1.602 1930 1.157 1931 1.507 1932 1.522 1933 1.0 1934 0.92 1935 1.161 1936 1.413 1937 1.055 1938 1.376 1939 1.261 1940 1.033 1941 0.924 1942 1.019 1943 1.285 1944 1.666 1945 1.06 1946 1.469 1947 0.461 1948 1.451 1949 1.116 1950 0.66 1951 0.724 1952 1.203 1953 1.159 1954 0.956 1955 1.361 1956 1.406 1957 1.08 1958 1.343 1959 0.927 1960 1.306 1961 1.005 1962 0.828 1963 1.091 1964 1.466 1965 0.976 1966 1.039 1967 1.209 1968 1.409 1969 0.943 1970 1.277 1971 0.965 1972 0.988 1973 1.169 1974 1.0 1975 0.946 1976 0.817 1977 1.096 1978 0.696 1979 0.915 1980 0.81 1981 0.903 1982 0.781 1983 1.274 1984 1.121 1985 1.03 1986 0.703 1987 0.977 1988 0.916 1989 1.092 1990 0.638 1991 0.792 1992 0.569 1993 0.609 1994 0.992