# asia_russ049w - Verhnaja Toima - 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/4715 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ049w - Verhnaja Toima - 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: Verhnaja Toima # Location: # Country: Russia # Northernmost_Latitude: 62.17 # Southernmost_Latitude: 62.17 # Easternmost_Longitude: 44.42 # Westernmost_Longitude: 44.42 # Elevation: 60 m #-------------------- # Data_Collection # Collection_Name: asia_russ049wB # Earliest_Year: 1798 # Most_Recent_Year: 1990 # 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":"4.16883599217","T2":"14.3512658958","M1":"0.0225322187937","M2":"0.528892967748"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1798 1.609 1799 1.341 1800 1.393 1801 1.076 1802 0.905 1803 1.078 1804 1.089 1805 1.093 1806 0.913 1807 0.871 1808 1.069 1809 1.167 1810 1.035 1811 0.972 1812 0.831 1813 0.941 1814 0.844 1815 0.784 1816 0.642 1817 0.646 1818 0.736 1819 0.722 1820 0.812 1821 0.701 1822 0.721 1823 0.95 1824 1.134 1825 1.214 1826 1.224 1827 0.99 1828 1.397 1829 1.507 1830 1.236 1831 1.06 1832 0.85 1833 1.017 1834 0.767 1835 0.643 1836 0.459 1837 0.741 1838 0.811 1839 1.088 1840 1.286 1841 1.299 1842 1.008 1843 1.069 1844 1.358 1845 1.253 1846 1.505 1847 1.231 1848 1.019 1849 1.184 1850 1.002 1851 0.972 1852 0.756 1853 1.082 1854 1.134 1855 1.252 1856 1.282 1857 0.999 1858 0.884 1859 0.735 1860 0.962 1861 0.95 1862 0.965 1863 0.706 1864 0.779 1865 0.797 1866 1.073 1867 0.941 1868 0.939 1869 0.938 1870 0.844 1871 0.829 1872 0.917 1873 0.827 1874 0.873 1875 0.929 1876 0.921 1877 0.912 1878 1.316 1879 0.84 1880 0.903 1881 0.863 1882 0.964 1883 1.07 1884 1.092 1885 1.345 1886 1.062 1887 1.206 1888 1.181 1889 1.124 1890 1.286 1891 1.234 1892 1.411 1893 0.965 1894 0.847 1895 0.677 1896 0.761 1897 0.634 1898 0.837 1899 0.806 1900 0.888 1901 0.869 1902 0.999 1903 0.77 1904 0.647 1905 0.787 1906 0.839 1907 0.972 1908 0.76 1909 0.637 1910 0.432 1911 0.687 1912 0.706 1913 0.732 1914 0.764 1915 0.397 1916 0.404 1917 0.755 1918 0.645 1919 0.721 1920 0.648 1921 0.835 1922 1.198 1923 1.207 1924 1.724 1925 1.326 1926 1.12 1927 1.248 1928 0.987 1929 1.271 1930 1.041 1931 1.145 1932 0.854 1933 0.875 1934 0.7 1935 0.726 1936 0.883 1937 0.868 1938 1.103 1939 1.004 1940 1.038 1941 0.673 1942 0.933 1943 1.003 1944 0.71 1945 0.892 1946 0.949 1947 1.032 1948 1.241 1949 1.111 1950 0.949 1951 0.97 1952 1.118 1953 0.992 1954 1.248 1955 1.144 1956 1.264 1957 0.948 1958 0.795 1959 1.308 1960 1.392 1961 1.01 1962 0.955 1963 1.092 1964 1.426 1965 1.112 1966 1.266 1967 0.936 1968 0.889 1969 0.742 1970 0.854 1971 0.762 1972 0.849 1973 0.592 1974 0.734 1975 0.611 1976 0.975 1977 1.1 1978 1.205 1979 1.302 1980 1.168 1981 1.205 1982 0.737 1983 0.989 1984 1.269 1985 1.425 1986 1.242 1987 1.278 1988 1.101 1989 0.68 1990 0.781