# asia_russ078w - Kheta 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/4465 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ078w - Kheta 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: Kheta River # Location: # Country: Russia # Northernmost_Latitude: 69.12 # Southernmost_Latitude: 69.12 # Easternmost_Longitude: 84.5 # Westernmost_Longitude: 84.5 # Elevation: 80 m #-------------------- # Data_Collection # Collection_Name: asia_russ078wB # Earliest_Year: 1682 # Most_Recent_Year: 1990 # 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":"8.13255142217","T2":"19.4924391498","M1":"0.0225080166593","M2":"0.319492054428"}} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1682 0.718 1683 0.611 1684 0.523 1685 0.413 1686 0.708 1687 0.871 1688 1.112 1689 0.975 1690 1.066 1691 0.69 1692 0.795 1693 0.945 1694 0.677 1695 1.572 1696 0.778 1697 0.687 1698 0.641 1699 0.276 1700 0.568 1701 0.567 1702 0.258 1703 0.638 1704 0.48 1705 1.017 1706 0.902 1707 1.185 1708 1.107 1709 1.469 1710 1.242 1711 1.248 1712 1.043 1713 0.991 1714 0.521 1715 1.055 1716 1.177 1717 1.144 1718 0.493 1719 1.107 1720 1.489 1721 1.511 1722 1.047 1723 1.112 1724 1.333 1725 0.917 1726 1.281 1727 1.087 1728 0.918 1729 1.731 1730 1.814 1731 1.69 1732 0.319 1733 1.17 1734 0.71 1735 1.051 1736 0.558 1737 0.886 1738 0.804 1739 1.031 1740 1.335 1741 1.447 1742 0.243 1743 1.318 1744 1.061 1745 0.409 1746 0.875 1747 1.434 1748 1.049 1749 1.004 1750 0.78 1751 1.213 1752 0.986 1753 1.245 1754 1.429 1755 1.155 1756 0.992 1757 1.287 1758 0.761 1759 0.39 1760 0.613 1761 1.204 1762 1.49 1763 1.832 1764 1.328 1765 1.53 1766 1.6 1767 1.825 1768 0.83 1769 1.313 1770 1.008 1771 1.082 1772 0.444 1773 0.654 1774 0.33 1775 1.157 1776 0.595 1777 1.103 1778 1.001 1779 1.249 1780 0.671 1781 1.111 1782 1.615 1783 0.257 1784 1.341 1785 1.24 1786 1.212 1787 1.135 1788 0.51 1789 0.844 1790 0.707 1791 0.676 1792 0.816 1793 1.485 1794 1.409 1795 1.03 1796 1.314 1797 0.746 1798 1.053 1799 1.031 1800 0.73 1801 1.129 1802 0.907 1803 0.898 1804 1.03 1805 1.497 1806 1.53 1807 0.476 1808 1.23 1809 1.364 1810 0.862 1811 0.988 1812 0.303 1813 0.943 1814 0.953 1815 0.575 1816 0.706 1817 0.951 1818 0.914 1819 0.24 1820 0.466 1821 0.921 1822 1.026 1823 0.841 1824 0.694 1825 0.139 1826 0.35 1827 0.872 1828 0.537 1829 0.774 1830 0.19 1831 0.499 1832 0.537 1833 0.103 1834 0.34 1835 0.479 1836 0.382 1837 0.221 1838 0.669 1839 0.687 1840 0.645 1841 0.436 1842 0.847 1843 0.426 1844 1.097 1845 1.182 1846 0.947 1847 0.715 1848 0.811 1849 0.963 1850 0.87 1851 0.9 1852 1.208 1853 1.224 1854 1.024 1855 0.626 1856 1.196 1857 1.059 1858 0.546 1859 0.817 1860 0.907 1861 1.403 1862 0.999 1863 0.923 1864 1.171 1865 1.167 1866 0.87 1867 0.129 1868 1.101 1869 0.368 1870 0.942 1871 0.703 1872 1.127 1873 0.628 1874 0.551 1875 0.958 1876 1.264 1877 1.532 1878 1.763 1879 1.664 1880 1.062 1881 0.799 1882 0.438 1883 0.999 1884 0.273 1885 0.237 1886 0.969 1887 0.943 1888 0.777 1889 0.408 1890 0.845 1891 0.763 1892 1.395 1893 0.871 1894 1.265 1895 0.951 1896 1.119 1897 1.673 1898 1.653 1899 0.634 1900 1.222 1901 0.634 1902 0.9 1903 1.049 1904 0.961 1905 1.312 1906 1.131 1907 0.489 1908 2.346 1909 2.004 1910 1.706 1911 1.447 1912 1.204 1913 0.771 1914 0.651 1915 1.239 1916 0.493 1917 0.724 1918 1.439 1919 0.975 1920 1.18 1921 1.16 1922 1.067 1923 1.483 1924 1.631 1925 0.989 1926 1.346 1927 0.875 1928 1.613 1929 1.242 1930 0.888 1931 0.567 1932 1.227 1933 0.787 1934 0.193 1935 0.433 1936 0.458 1937 0.661 1938 0.893 1939 0.893 1940 1.029 1941 0.873 1942 1.207 1943 1.471 1944 1.604 1945 1.988 1946 1.523 1947 0.503 1948 1.477 1949 0.59 1950 1.263 1951 1.002 1952 0.838 1953 1.409 1954 0.856 1955 1.397 1956 1.512 1957 1.445 1958 1.305 1959 1.526 1960 0.937 1961 1.165 1962 1.021 1963 1.138 1964 1.227 1965 1.253 1966 0.785 1967 1.315 1968 0.724 1969 1.298 1970 0.949 1971 0.429 1972 0.825 1973 0.557 1974 0.514 1975 0.491 1976 1.0 1977 0.841 1978 1.065 1979 1.072 1980 0.837 1981 0.574 1982 0.69 1983 0.816 1984 1.009 1985 0.569 1986 1.09 1987 0.9 1988 0.691 1989 0.497 1990 0.653