# asia_russ105w - Bryungjade 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/4356 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ105w - Bryungjade 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: Bryungjade river # Location: # Country: Russia # Northernmost_Latitude: 63.62 # Southernmost_Latitude: 63.62 # Easternmost_Longitude: 141.35 # Westernmost_Longitude: 141.35 # Elevation: 750 m #-------------------- # Data_Collection # Collection_Name: asia_russ105wB # Earliest_Year: 1666 # Most_Recent_Year: 1991 # 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":"2.151309435","T2":"13.4604202549","M1":"0.0233370587173","M2":"0.576672175686"}} #-------------------- # 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 1666 1.185 1667 1.124 1668 0.953 1669 1.145 1670 1.111 1671 0.725 1672 0.704 1673 1.085 1674 1.175 1675 1.167 1676 0.562 1677 0.702 1678 0.301 1679 0.541 1680 1.121 1681 1.083 1682 1.289 1683 1.637 1684 1.566 1685 1.264 1686 0.995 1687 0.924 1688 1.248 1689 1.029 1690 0.988 1691 0.929 1692 0.814 1693 0.724 1694 0.164 1695 0.264 1696 0.458 1697 0.779 1698 0.499 1699 0.683 1700 0.823 1701 0.725 1702 0.518 1703 0.528 1704 0.883 1705 1.057 1706 1.233 1707 0.848 1708 1.048 1709 1.338 1710 1.221 1711 1.375 1712 1.436 1713 1.547 1714 1.417 1715 1.405 1716 1.458 1717 1.419 1718 0.46 1719 1.119 1720 0.416 1721 0.526 1722 1.353 1723 1.647 1724 1.113 1725 0.95 1726 0.994 1727 1.016 1728 0.487 1729 0.8 1730 0.749 1731 0.618 1732 1.278 1733 0.903 1734 1.505 1735 1.346 1736 1.449 1737 1.091 1738 0.788 1739 0.815 1740 0.584 1741 1.209 1742 1.701 1743 0.919 1744 0.909 1745 1.415 1746 1.346 1747 1.353 1748 1.088 1749 0.52 1750 0.859 1751 1.137 1752 0.951 1753 1.061 1754 0.929 1755 1.754 1756 1.69 1757 1.027 1758 1.365 1759 1.359 1760 1.328 1761 0.791 1762 0.867 1763 0.417 1764 0.187 1765 0.646 1766 0.422 1767 0.259 1768 0.521 1769 0.484 1770 0.357 1771 0.643 1772 0.428 1773 0.654 1774 0.932 1775 0.819 1776 0.798 1777 0.887 1778 1.095 1779 0.812 1780 0.471 1781 0.413 1782 0.754 1783 1.011 1784 0.922 1785 0.839 1786 0.822 1787 1.223 1788 1.01 1789 1.225 1790 1.22 1791 1.254 1792 1.419 1793 0.751 1794 1.286 1795 1.286 1796 0.542 1797 0.394 1798 0.832 1799 0.786 1800 0.672 1801 0.942 1802 1.018 1803 1.261 1804 1.236 1805 1.273 1806 1.306 1807 0.733 1808 0.737 1809 1.188 1810 1.206 1811 1.314 1812 1.398 1813 1.291 1814 1.185 1815 0.532 1816 1.32 1817 0.64 1818 0.161 1819 0.712 1820 0.396 1821 0.77 1822 0.811 1823 0.351 1824 0.994 1825 0.773 1826 1.325 1827 1.446 1828 0.978 1829 1.151 1830 1.168 1831 0.871 1832 0.632 1833 1.004 1834 0.969 1835 0.788 1836 1.075 1837 1.034 1838 0.97 1839 0.848 1840 1.078 1841 1.303 1842 0.917 1843 0.65 1844 1.004 1845 0.566 1846 0.514 1847 0.74 1848 0.978 1849 1.176 1850 0.897 1851 1.033 1852 0.954 1853 1.289 1854 0.881 1855 0.784 1856 1.123 1857 0.994 1858 1.069 1859 1.021 1860 1.461 1861 1.467 1862 1.077 1863 0.873 1864 1.158 1865 1.217 1866 1.296 1867 1.029 1868 1.357 1869 0.65 1870 0.282 1871 0.417 1872 0.973 1873 0.565 1874 0.814 1875 0.816 1876 0.902 1877 0.57 1878 0.671 1879 0.822 1880 1.129 1881 1.419 1882 0.642 1883 1.746 1884 1.755 1885 0.903 1886 1.191 1887 1.373 1888 0.716 1889 1.023 1890 1.296 1891 1.383 1892 1.389 1893 1.335 1894 0.848 1895 0.77 1896 0.763 1897 0.447 1898 0.707 1899 0.607 1900 0.449 1901 0.718 1902 0.831 1903 1.08 1904 1.287 1905 0.779 1906 1.567 1907 1.222 1908 1.858 1909 1.042 1910 1.293 1911 1.078 1912 1.137 1913 0.634 1914 0.287 1915 0.448 1916 0.658 1917 0.52 1918 0.774 1919 1.184 1920 0.568 1921 0.977 1922 1.145 1923 1.287 1924 1.32 1925 1.054 1926 0.583 1927 0.777 1928 0.954 1929 0.678 1930 0.883 1931 0.766 1932 0.701 1933 0.813 1934 0.923 1935 0.847 1936 1.036 1937 0.961 1938 1.316 1939 1.284 1940 1.318 1941 1.216 1942 1.259 1943 1.412 1944 2.306 1945 1.765 1946 1.64 1947 1.758 1948 2.178 1949 0.877 1950 0.765 1951 1.378 1952 1.152 1953 1.179 1954 1.262 1955 0.455 1956 0.958 1957 1.071 1958 1.001 1959 0.893 1960 1.314 1961 1.233 1962 1.427 1963 1.131 1964 0.999 1965 0.622 1966 0.604 1967 0.942 1968 0.944 1969 0.965 1970 0.532 1971 0.934 1972 0.631 1973 1.003 1974 1.145 1975 1.113 1976 0.739 1977 0.523 1978 0.959 1979 0.767 1980 0.806 1981 0.676 1982 0.542 1983 0.668 1984 0.626 1985 1.029 1986 1.006 1987 0.962 1988 1.263 1989 0.714 1990 0.754 1991 0.982