# asia_russ055w - Khotugn-Uladan-Tukulan - 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/4469 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ055w - Khotugn-Uladan-Tukulan - 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: Khotugn-Uladan-Tukulan # Location: # Country: Russia # Northernmost_Latitude: 63.38 # Southernmost_Latitude: 63.38 # Easternmost_Longitude: 125.8 # Westernmost_Longitude: 125.8 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: asia_russ055wB # Earliest_Year: 1706 # 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":"4.45114747714","T2":"16.4840702396","M1":"0.0217234656859","M2":"0.439840668603"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1706 1.08 1707 0.93 1708 0.873 1709 0.83 1710 0.751 1711 1.011 1712 0.816 1713 0.922 1714 0.669 1715 0.819 1716 0.815 1717 1.177 1718 0.923 1719 1.388 1720 1.258 1721 1.149 1722 1.14 1723 1.205 1724 0.681 1725 0.816 1726 0.673 1727 0.585 1728 0.848 1729 0.962 1730 1.047 1731 1.018 1732 1.045 1733 0.821 1734 0.84 1735 0.503 1736 0.418 1737 0.546 1738 0.848 1739 0.955 1740 0.809 1741 0.606 1742 0.524 1743 0.535 1744 0.841 1745 0.91 1746 0.791 1747 1.341 1748 0.736 1749 1.092 1750 1.055 1751 1.142 1752 1.257 1753 1.169 1754 1.086 1755 0.826 1756 0.716 1757 0.648 1758 0.92 1759 0.905 1760 1.117 1761 1.161 1762 0.833 1763 0.99 1764 0.851 1765 0.957 1766 0.981 1767 1.055 1768 1.224 1769 1.508 1770 0.976 1771 1.222 1772 1.543 1773 1.473 1774 1.154 1775 1.317 1776 1.25 1777 1.014 1778 0.931 1779 1.06 1780 1.166 1781 1.287 1782 1.352 1783 0.938 1784 0.74 1785 0.74 1786 0.777 1787 0.651 1788 1.031 1789 1.17 1790 1.441 1791 1.154 1792 0.842 1793 0.978 1794 1.036 1795 0.811 1796 0.98 1797 0.924 1798 0.85 1799 0.913 1800 1.087 1801 1.043 1802 1.36 1803 0.979 1804 1.083 1805 1.348 1806 1.061 1807 1.717 1808 1.7 1809 1.751 1810 1.479 1811 1.343 1812 1.039 1813 1.36 1814 1.136 1815 1.149 1816 0.832 1817 0.868 1818 1.022 1819 0.635 1820 0.85 1821 0.809 1822 0.776 1823 0.695 1824 0.654 1825 0.737 1826 0.823 1827 1.037 1828 0.643 1829 0.944 1830 0.921 1831 0.731 1832 0.773 1833 1.031 1834 0.891 1835 1.116 1836 0.991 1837 0.732 1838 0.9 1839 0.919 1840 0.956 1841 1.071 1842 0.971 1843 0.953 1844 0.978 1845 1.223 1846 1.003 1847 0.888 1848 0.64 1849 1.087 1850 0.947 1851 0.748 1852 0.569 1853 0.98 1854 1.444 1855 1.097 1856 1.342 1857 1.263 1858 1.103 1859 0.846 1860 0.874 1861 1.079 1862 0.862 1863 0.672 1864 0.626 1865 0.791 1866 0.774 1867 0.955 1868 0.915 1869 0.948 1870 0.893 1871 1.271 1872 1.368 1873 1.845 1874 1.555 1875 1.432 1876 1.366 1877 1.128 1878 1.499 1879 1.139 1880 1.037 1881 0.72 1882 1.295 1883 1.371 1884 1.439 1885 1.173 1886 1.101 1887 0.99 1888 0.87 1889 0.558 1890 0.737 1891 0.75 1892 0.652 1893 0.896 1894 0.954 1895 0.657 1896 0.638 1897 0.658 1898 0.769 1899 0.929 1900 0.932 1901 1.131 1902 0.67 1903 0.961 1904 1.065 1905 0.98 1906 1.074 1907 1.168 1908 0.995 1909 0.888 1910 1.033 1911 0.937 1912 0.855 1913 0.741 1914 0.81 1915 0.81 1916 0.907 1917 0.582 1918 0.591 1919 0.742 1920 0.842 1921 0.63 1922 0.907 1923 0.801 1924 0.888 1925 0.983 1926 1.156 1927 1.039 1928 1.026 1929 1.187 1930 0.694 1931 0.88 1932 1.134 1933 0.739 1934 0.903 1935 1.057 1936 1.155 1937 0.954 1938 1.414 1939 0.845 1940 0.917 1941 1.038 1942 1.174 1943 1.249 1944 1.294 1945 0.882 1946 1.244 1947 1.024 1948 0.956 1949 1.001 1950 0.802 1951 1.342 1952 1.088 1953 1.281 1954 1.167 1955 0.675 1956 0.907 1957 1.003 1958 0.807 1959 0.729 1960 0.585 1961 1.078 1962 0.848 1963 0.925 1964 0.698 1965 1.028 1966 1.091 1967 1.081 1968 1.05 1969 0.929 1970 0.848 1971 0.612 1972 0.723 1973 0.622 1974 0.86 1975 0.926 1976 0.881 1977 0.963 1978 0.972 1979 0.905 1980 0.7 1981 0.528 1982 1.47 1983 1.207 1984 1.263 1985 1.041 1986 1.202 1987 1.143 1988 1.184 1989 1.316 1990 0.644 1991 1.202