# asia_russ103w - Sartan 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/4630 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ103w - Sartan 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: Sartan river # Location: # Country: Russia # Northernmost_Latitude: 64.93 # Southernmost_Latitude: 64.93 # Easternmost_Longitude: 132.93 # Westernmost_Longitude: 132.93 # Elevation: 750 m #-------------------- # Data_Collection # Collection_Name: asia_russ103wB # Earliest_Year: 1673 # Most_Recent_Year: 1991 # 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":"4.12833506744","T2":"17.1284087306","M1":"0.0226412634023","M2":"0.437709301645"}} #-------------------- # 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 1673 0.852 1674 1.307 1675 0.996 1676 0.796 1677 0.97 1678 0.806 1679 0.684 1680 1.574 1681 1.061 1682 1.412 1683 1.816 1684 0.849 1685 1.38 1686 0.826 1687 0.629 1688 0.849 1689 1.058 1690 1.325 1691 1.436 1692 1.298 1693 1.46 1694 1.074 1695 0.243 1696 0.829 1697 1.051 1698 0.749 1699 0.864 1700 0.774 1701 0.959 1702 0.799 1703 0.93 1704 0.932 1705 0.904 1706 1.318 1707 0.453 1708 1.511 1709 1.131 1710 0.736 1711 0.902 1712 0.916 1713 1.07 1714 0.89 1715 0.624 1716 0.838 1717 0.904 1718 0.765 1719 0.631 1720 1.041 1721 0.95 1722 1.133 1723 1.336 1724 1.379 1725 0.688 1726 0.888 1727 0.979 1728 0.4 1729 0.98 1730 0.639 1731 0.279 1732 0.856 1733 0.795 1734 0.614 1735 0.713 1736 0.872 1737 0.692 1738 0.599 1739 1.065 1740 0.371 1741 0.779 1742 1.062 1743 0.786 1744 0.576 1745 0.999 1746 0.792 1747 1.196 1748 0.951 1749 0.974 1750 1.204 1751 0.998 1752 0.93 1753 1.084 1754 0.683 1755 0.96 1756 0.861 1757 0.89 1758 0.647 1759 0.775 1760 0.99 1761 0.9 1762 0.433 1763 0.541 1764 0.616 1765 0.675 1766 0.726 1767 0.726 1768 0.954 1769 0.615 1770 0.586 1771 0.652 1772 0.604 1773 0.756 1774 0.819 1775 0.91 1776 0.996 1777 0.994 1778 1.207 1779 0.495 1780 0.571 1781 0.469 1782 1.02 1783 0.537 1784 0.918 1785 0.777 1786 0.515 1787 0.683 1788 0.678 1789 0.651 1790 0.747 1791 0.592 1792 1.047 1793 1.103 1794 0.666 1795 1.027 1796 0.731 1797 0.481 1798 0.761 1799 0.778 1800 0.684 1801 0.407 1802 0.832 1803 0.797 1804 0.641 1805 0.814 1806 0.822 1807 0.911 1808 0.962 1809 0.916 1810 0.849 1811 0.629 1812 0.623 1813 0.369 1814 0.817 1815 0.662 1816 0.677 1817 0.513 1818 0.045 1819 0.868 1820 0.855 1821 0.756 1822 0.607 1823 0.552 1824 0.912 1825 0.826 1826 1.015 1827 1.038 1828 1.185 1829 1.472 1830 1.016 1831 1.23 1832 0.682 1833 1.117 1834 1.06 1835 1.155 1836 1.28 1837 0.827 1838 0.799 1839 0.561 1840 0.943 1841 0.936 1842 0.54 1843 0.858 1844 0.632 1845 0.493 1846 0.537 1847 0.639 1848 0.604 1849 0.662 1850 0.504 1851 0.353 1852 0.49 1853 0.742 1854 0.724 1855 0.927 1856 1.17 1857 0.74 1858 1.715 1859 0.776 1860 1.133 1861 0.814 1862 0.914 1863 0.598 1864 0.981 1865 0.991 1866 1.288 1867 1.703 1868 1.365 1869 2.426 1870 2.319 1871 1.722 1872 2.071 1873 1.975 1874 1.351 1875 1.522 1876 1.501 1877 1.003 1878 1.894 1879 1.429 1880 2.009 1881 2.017 1882 1.095 1883 1.665 1884 1.645 1885 1.379 1886 0.77 1887 1.14 1888 0.783 1889 0.859 1890 0.923 1891 0.807 1892 0.87 1893 1.292 1894 0.889 1895 1.36 1896 1.18 1897 1.143 1898 1.113 1899 1.202 1900 0.767 1901 1.231 1902 1.23 1903 1.241 1904 0.971 1905 0.956 1906 1.181 1907 0.932 1908 1.282 1909 0.905 1910 1.2 1911 0.958 1912 1.376 1913 0.96 1914 0.878 1915 0.731 1916 0.945 1917 0.93 1918 0.827 1919 0.798 1920 0.358 1921 0.651 1922 0.99 1923 0.756 1924 0.872 1925 0.726 1926 0.518 1927 0.654 1928 0.747 1929 0.728 1930 0.88 1931 0.563 1932 0.827 1933 1.069 1934 0.79 1935 0.782 1936 1.32 1937 1.155 1938 1.221 1939 1.103 1940 1.43 1941 1.218 1942 1.265 1943 0.46 1944 1.176 1945 0.782 1946 1.07 1947 1.042 1948 1.157 1949 1.221 1950 0.835 1951 0.938 1952 0.882 1953 0.943 1954 0.945 1955 0.849 1956 0.996 1957 0.669 1958 0.765 1959 0.98 1960 1.141 1961 1.125 1962 0.815 1963 0.871 1964 0.818 1965 0.685 1966 0.805 1967 0.933 1968 0.733 1969 0.994 1970 0.858 1971 0.706 1972 0.256 1973 0.736 1974 0.827 1975 1.027 1976 0.638 1977 0.444 1978 0.824 1979 0.598 1980 0.572 1981 0.84 1982 0.537 1983 0.602 1984 0.595 1985 0.548 1986 1.016 1987 0.926 1988 0.907 1989 0.795 1990 0.835 1991 0.646