# asia_russ182 - Verhnutulomskij Ylä-Tuuloma - 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/4020 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ182 - Verhnutulomskij Ylä-Tuuloma - 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: Verhnutulomskij Ylä-Tuuloma # Location: # Country: Russia # Northernmost_Latitude: 68.65 # Southernmost_Latitude: 68.65 # Easternmost_Longitude: 31.67 # Westernmost_Longitude: 31.67 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: asia_russ182B # Earliest_Year: 1734 # Most_Recent_Year: 2001 # 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":"7.43769254452","T2":"19.2954493883","M1":"0.0223280846949","M2":"0.278448025915"}} #-------------------- # 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 1734 0.504 1735 0.545 1736 0.551 1737 0.655 1738 0.811 1739 0.996 1740 0.846 1741 0.924 1742 0.885 1743 0.862 1744 0.682 1745 0.675 1746 0.89 1747 0.894 1748 0.839 1749 1.009 1750 1.011 1751 0.902 1752 1.052 1753 1.2 1754 1.3 1755 1.289 1756 1.449 1757 1.562 1758 1.598 1759 1.507 1760 1.37 1761 1.776 1762 1.684 1763 1.531 1764 1.196 1765 1.306 1766 1.085 1767 1.076 1768 1.004 1769 0.764 1770 0.796 1771 0.784 1772 0.645 1773 0.611 1774 0.936 1775 0.916 1776 0.737 1777 1.218 1778 1.016 1779 1.066 1780 1.149 1781 1.009 1782 1.184 1783 1.229 1784 1.173 1785 1.32 1786 1.068 1787 1.067 1788 1.221 1789 1.096 1790 0.779 1791 1.057 1792 0.864 1793 0.878 1794 0.613 1795 0.599 1796 0.765 1797 0.985 1798 1.0 1799 1.385 1800 1.103 1801 1.015 1802 1.023 1803 0.857 1804 1.062 1805 1.047 1806 0.577 1807 0.768 1808 0.916 1809 0.745 1810 0.665 1811 0.656 1812 0.596 1813 0.36 1814 0.418 1815 0.374 1816 0.269 1817 0.289 1818 0.344 1819 0.427 1820 0.457 1821 0.416 1822 0.498 1823 0.68 1824 0.848 1825 0.656 1826 1.166 1827 1.037 1828 0.757 1829 1.129 1830 1.047 1831 1.145 1832 1.121 1833 1.081 1834 0.987 1835 0.69 1836 0.669 1837 0.341 1838 0.582 1839 0.415 1840 0.631 1841 0.65 1842 0.827 1843 0.771 1844 1.067 1845 1.29 1846 0.964 1847 0.857 1848 1.033 1849 1.228 1850 1.261 1851 1.226 1852 1.221 1853 1.427 1854 1.494 1855 1.624 1856 1.56 1857 1.294 1858 1.366 1859 1.188 1860 1.225 1861 1.106 1862 0.934 1863 1.036 1864 1.324 1865 0.943 1866 0.725 1867 0.771 1868 0.864 1869 1.053 1870 1.111 1871 0.896 1872 0.837 1873 1.18 1874 0.94 1875 0.953 1876 1.061 1877 1.125 1878 1.025 1879 0.968 1880 0.916 1881 0.792 1882 0.931 1883 1.107 1884 0.957 1885 1.123 1886 1.183 1887 0.981 1888 0.76 1889 1.104 1890 1.461 1891 1.016 1892 0.599 1893 0.699 1894 0.831 1895 0.948 1896 1.02 1897 0.858 1898 1.329 1899 0.968 1900 0.664 1901 1.131 1902 0.93 1903 0.635 1904 0.905 1905 0.762 1906 0.779 1907 0.66 1908 0.838 1909 0.807 1910 0.522 1911 0.657 1912 1.001 1913 0.862 1914 1.128 1915 1.198 1916 0.975 1917 0.825 1918 0.844 1919 0.864 1920 0.843 1921 1.13 1922 1.332 1923 1.348 1924 1.198 1925 1.584 1926 1.003 1927 1.388 1928 1.049 1929 0.834 1930 1.592 1931 1.579 1932 1.528 1933 1.572 1934 1.796 1935 1.518 1936 1.272 1937 1.698 1938 1.445 1939 1.227 1940 1.062 1941 1.349 1942 1.071 1943 1.078 1944 1.102 1945 1.058 1946 0.85 1947 0.992 1948 1.062 1949 0.978 1950 0.95 1951 0.799 1952 0.944 1953 1.111 1954 1.065 1955 1.045 1956 1.149 1957 1.283 1958 1.074 1959 1.097 1960 1.318 1961 0.808 1962 0.671 1963 0.568 1964 1.186 1965 0.715 1966 0.789 1967 0.852 1968 0.674 1969 0.577 1970 0.811 1971 0.564 1972 0.636 1973 0.714 1974 0.596 1975 0.671 1976 0.77 1977 0.752 1978 0.595 1979 0.789 1980 0.754 1981 0.666 1982 0.629 1983 0.825 1984 0.79 1985 0.827 1986 0.834 1987 0.765 1988 0.869 1989 0.939 1990 0.814 1991 0.845 1992 1.023 1993 1.176 1994 1.024 1995 0.923 1996 0.925 1997 1.169 1998 1.211 1999 1.067 2000 1.162 2001 1.276