# asia_russ109w - Baraii 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/4340 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ109w - Baraii 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: Baraii River # Location: # Country: Russia # Northernmost_Latitude: 63.65 # Southernmost_Latitude: 63.65 # Easternmost_Longitude: 133.78 # Westernmost_Longitude: 133.78 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: asia_russ109wB # Earliest_Year: 1737 # 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":"5.74364151511","T2":"17.0315052478","M1":"0.0225600403366","M2":"0.427135706325"}} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1737 1.266 1738 1.283 1739 1.424 1740 1.141 1741 0.85 1742 0.763 1743 0.872 1744 0.803 1745 0.757 1746 0.652 1747 0.865 1748 0.402 1749 0.553 1750 0.494 1751 0.602 1752 0.502 1753 0.578 1754 0.582 1755 0.731 1756 0.564 1757 0.57 1758 0.517 1759 0.423 1760 0.549 1761 0.238 1762 0.383 1763 0.192 1764 0.257 1765 0.32 1766 0.393 1767 0.512 1768 0.647 1769 0.567 1770 0.791 1771 0.829 1772 0.824 1773 0.912 1774 1.162 1775 0.548 1776 0.706 1777 0.524 1778 0.781 1779 0.793 1780 0.847 1781 0.943 1782 0.788 1783 0.749 1784 0.666 1785 0.554 1786 0.587 1787 0.772 1788 0.825 1789 0.942 1790 0.976 1791 0.909 1792 1.294 1793 0.997 1794 0.941 1795 0.864 1796 0.918 1797 1.082 1798 0.558 1799 0.501 1800 0.688 1801 0.426 1802 0.531 1803 0.662 1804 0.784 1805 0.708 1806 0.926 1807 0.94 1808 0.852 1809 1.328 1810 1.6 1811 1.893 1812 1.728 1813 1.938 1814 1.545 1815 1.839 1816 1.09 1817 1.697 1818 1.588 1819 1.726 1820 1.336 1821 1.158 1822 1.432 1823 1.112 1824 1.384 1825 1.356 1826 1.228 1827 1.199 1828 1.096 1829 0.523 1830 0.451 1831 0.514 1832 0.655 1833 0.958 1834 0.888 1835 0.879 1836 1.003 1837 0.822 1838 1.047 1839 0.675 1840 0.598 1841 0.907 1842 0.72 1843 0.815 1844 0.987 1845 1.005 1846 1.109 1847 1.154 1848 1.063 1849 1.071 1850 0.951 1851 1.044 1852 0.953 1853 1.288 1854 1.35 1855 1.034 1856 1.052 1857 1.053 1858 1.173 1859 1.041 1860 1.025 1861 0.812 1862 0.784 1863 0.698 1864 0.624 1865 0.567 1866 0.711 1867 1.046 1868 1.132 1869 1.025 1870 0.964 1871 0.933 1872 0.936 1873 1.032 1874 1.195 1875 0.937 1876 1.0 1877 0.842 1878 1.289 1879 1.182 1880 0.981 1881 0.806 1882 1.276 1883 1.234 1884 1.25 1885 1.045 1886 0.943 1887 1.061 1888 0.971 1889 0.802 1890 0.884 1891 0.811 1892 0.822 1893 1.111 1894 1.124 1895 1.092 1896 0.926 1897 0.9 1898 0.774 1899 1.054 1900 0.744 1901 1.207 1902 1.037 1903 1.215 1904 1.03 1905 1.086 1906 1.17 1907 0.91 1908 1.067 1909 1.194 1910 1.119 1911 0.682 1912 0.819 1913 1.0 1914 0.953 1915 0.711 1916 1.028 1917 1.157 1918 1.268 1919 1.282 1920 1.307 1921 1.108 1922 1.112 1923 1.024 1924 1.06 1925 1.057 1926 1.017 1927 1.144 1928 1.02 1929 1.035 1930 0.793 1931 0.916 1932 0.999 1933 0.908 1934 0.898 1935 0.952 1936 1.101 1937 0.949 1938 1.128 1939 1.1 1940 1.341 1941 0.96 1942 0.721 1943 0.902 1944 1.121 1945 1.052 1946 1.122 1947 1.185 1948 0.934 1949 0.729 1950 0.808 1951 1.127 1952 1.004 1953 0.764 1954 1.1 1955 0.776 1956 0.891 1957 0.96 1958 0.867 1959 0.874 1960 0.925 1961 0.936 1962 1.005 1963 0.748 1964 0.775 1965 0.739 1966 0.888 1967 1.169 1968 1.31 1969 1.08 1970 1.001 1971 0.899 1972 1.173 1973 1.176 1974 0.971 1975 1.014 1976 1.018 1977 0.997 1978 0.992 1979 1.012 1980 1.06 1981 1.092 1982 1.149 1983 0.929 1984 0.818 1985 1.13 1986 0.968 1987 0.723 1988 0.845 1989 0.728 1990 0.734 1991 0.951