# asia_russ133w - Ust Ulagan Bog (Altai) - 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/4709 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ133w - Ust Ulagan Bog (Altai) - 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: Ust Ulagan Bog (Altai) # Location: # Country: Russia # Northernmost_Latitude: 50.5 # Southernmost_Latitude: 50.5 # Easternmost_Longitude: 87.68 # Westernmost_Longitude: 87.68 # Elevation: 1950 m #-------------------- # Data_Collection # Collection_Name: asia_russ133wB # Earliest_Year: 1710 # 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":"6.17313682436","T2":"18.9203981008","M1":"0.0228430039231","M2":"0.358995545158"}} #-------------------- # 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 1710 0.745 1711 0.926 1712 0.943 1713 1.019 1714 0.985 1715 0.934 1716 1.235 1717 0.872 1718 0.89 1719 0.984 1720 1.107 1721 0.941 1722 1.297 1723 0.984 1724 0.937 1725 1.107 1726 1.009 1727 0.986 1728 0.965 1729 1.076 1730 1.021 1731 1.306 1732 0.942 1733 0.742 1734 1.03 1735 0.958 1736 0.977 1737 1.176 1738 1.315 1739 1.299 1740 1.127 1741 0.825 1742 0.932 1743 0.959 1744 0.841 1745 0.853 1746 0.856 1747 1.132 1748 1.36 1749 1.603 1750 0.963 1751 0.908 1752 1.219 1753 1.285 1754 1.216 1755 1.229 1756 1.093 1757 1.215 1758 1.041 1759 0.97 1760 0.498 1761 0.87 1762 1.059 1763 1.012 1764 0.703 1765 0.974 1766 1.102 1767 1.305 1768 1.09 1769 1.142 1770 1.266 1771 0.939 1772 0.933 1773 1.151 1774 0.752 1775 0.5 1776 0.494 1777 0.761 1778 0.958 1779 1.069 1780 1.143 1781 1.193 1782 1.275 1783 1.029 1784 1.004 1785 0.607 1786 0.866 1787 0.793 1788 0.34 1789 0.582 1790 0.611 1791 0.834 1792 0.886 1793 0.944 1794 1.026 1795 0.96 1796 0.678 1797 0.261 1798 0.466 1799 0.356 1800 0.565 1801 0.556 1802 0.683 1803 0.826 1804 0.802 1805 1.164 1806 1.414 1807 1.241 1808 1.177 1809 1.266 1810 1.294 1811 1.42 1812 1.194 1813 0.842 1814 0.756 1815 1.093 1816 0.922 1817 0.878 1818 1.034 1819 0.838 1820 0.906 1821 0.976 1822 0.955 1823 0.924 1824 0.997 1825 1.075 1826 0.818 1827 0.888 1828 0.914 1829 1.016 1830 1.311 1831 1.133 1832 1.105 1833 0.888 1834 0.932 1835 0.877 1836 1.038 1837 0.964 1838 1.127 1839 1.157 1840 0.741 1841 0.889 1842 0.67 1843 0.794 1844 1.011 1845 0.839 1846 0.927 1847 0.665 1848 0.81 1849 0.542 1850 0.374 1851 0.633 1852 0.63 1853 0.838 1854 0.471 1855 0.89 1856 0.905 1857 1.156 1858 0.654 1859 0.707 1860 0.946 1861 0.833 1862 0.914 1863 0.887 1864 0.918 1865 0.904 1866 1.014 1867 1.0 1868 1.17 1869 0.589 1870 1.052 1871 0.624 1872 0.813 1873 0.935 1874 0.851 1875 0.688 1876 1.157 1877 1.444 1878 1.075 1879 1.239 1880 1.39 1881 1.519 1882 1.343 1883 1.255 1884 0.884 1885 1.136 1886 1.027 1887 0.788 1888 1.048 1889 1.17 1890 0.796 1891 0.949 1892 1.114 1893 1.151 1894 1.258 1895 1.204 1896 1.313 1897 1.616 1898 1.308 1899 0.822 1900 0.834 1901 0.921 1902 0.857 1903 0.855 1904 0.938 1905 0.737 1906 0.672 1907 0.61 1908 0.796 1909 0.794 1910 0.589 1911 0.333 1912 0.477 1913 0.6 1914 0.664 1915 0.94 1916 0.902 1917 0.726 1918 0.921 1919 0.897 1920 1.034 1921 1.255 1922 0.839 1923 0.918 1924 1.204 1925 1.331 1926 1.464 1927 1.14 1928 1.784 1929 1.888 1930 1.764 1931 1.406 1932 1.389 1933 1.444 1934 1.144 1935 1.265 1936 1.126 1937 1.201 1938 0.979 1939 1.283 1940 1.167 1941 1.383 1942 1.544 1943 1.723 1944 1.724 1945 1.749 1946 1.77 1947 1.613 1948 1.787 1949 1.557 1950 2.015 1951 1.919 1952 1.251 1953 1.293 1954 1.168 1955 1.23 1956 0.969 1957 1.117 1958 0.401 1959 0.879 1960 0.68 1961 0.327 1962 0.692 1963 0.875 1964 0.834 1965 0.9 1966 0.844 1967 0.781 1968 0.832 1969 0.71 1970 0.529 1971 0.402 1972 0.517 1973 0.672 1974 0.799 1975 0.738 1976 0.728 1977 0.783 1978 0.712 1979 0.77 1980 0.695 1981 0.734 1982 0.817 1983 0.715 1984 0.697 1985 0.494 1986 0.528 1987 0.364 1988 0.51 1989 0.661 1990 0.578 1991 0.764 1992 0.809 1993 0.749 1994 0.888