# asia_russ080w - Novoja Rieka - 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/4566 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ080w - Novoja Rieka - 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: Novoja Rieka # Location: # Country: Russia # Northernmost_Latitude: 72.45 # Southernmost_Latitude: 72.45 # Easternmost_Longitude: 101.75 # Westernmost_Longitude: 101.75 # Elevation: 70 m #-------------------- # Data_Collection # Collection_Name: asia_russ080wB # Earliest_Year: 1733 # Most_Recent_Year: 1990 # 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":"5.75541769027","T2":"19.68690558","M1":"0.0221761621172","M2":"0.164792957678"}} #-------------------- # 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 1733 0.74 1734 1.08 1735 0.721 1736 0.927 1737 0.774 1738 0.755 1739 1.327 1740 0.991 1741 0.987 1742 0.275 1743 1.013 1744 1.797 1745 0.543 1746 1.505 1747 2.24 1748 1.854 1749 1.261 1750 0.676 1751 0.851 1752 1.229 1753 0.801 1754 0.592 1755 0.349 1756 0.434 1757 1.099 1758 1.338 1759 1.197 1760 0.332 1761 0.766 1762 0.703 1763 1.424 1764 1.055 1765 1.815 1766 1.402 1767 1.802 1768 1.224 1769 2.047 1770 0.697 1771 0.927 1772 0.515 1773 0.409 1774 1.152 1775 1.193 1776 1.367 1777 1.741 1778 1.568 1779 0.966 1780 0.837 1781 0.661 1782 1.434 1783 0.666 1784 1.234 1785 1.157 1786 0.331 1787 1.402 1788 1.093 1789 1.536 1790 1.461 1791 1.443 1792 1.198 1793 1.734 1794 2.007 1795 1.492 1796 1.379 1797 1.097 1798 0.456 1799 0.334 1800 0.399 1801 1.157 1802 1.282 1803 1.109 1804 0.957 1805 1.266 1806 1.681 1807 0.523 1808 1.498 1809 1.273 1810 0.961 1811 0.77 1812 0.29 1813 0.235 1814 0.382 1815 0.413 1816 0.323 1817 0.769 1818 0.806 1819 0.645 1820 0.373 1821 0.696 1822 1.196 1823 0.527 1824 0.628 1825 0.196 1826 0.319 1827 0.519 1828 0.92 1829 0.788 1830 0.559 1831 0.874 1832 0.659 1833 0.541 1834 1.216 1835 1.686 1836 0.909 1837 0.203 1838 0.498 1839 0.373 1840 0.808 1841 1.08 1842 0.944 1843 0.896 1844 0.611 1845 0.796 1846 0.897 1847 0.298 1848 0.64 1849 0.457 1850 0.358 1851 0.314 1852 1.201 1853 1.22 1854 1.375 1855 1.306 1856 1.441 1857 1.701 1858 1.179 1859 1.178 1860 1.751 1861 1.431 1862 1.139 1863 1.145 1864 1.293 1865 1.748 1866 0.365 1867 0.723 1868 1.663 1869 0.351 1870 0.667 1871 0.598 1872 1.088 1873 0.788 1874 0.519 1875 1.135 1876 0.7 1877 1.42 1878 1.71 1879 1.12 1880 1.491 1881 0.972 1882 0.864 1883 1.23 1884 0.262 1885 0.037 1886 0.117 1887 0.774 1888 0.849 1889 0.334 1890 0.438 1891 0.938 1892 0.842 1893 0.492 1894 1.34 1895 0.766 1896 0.967 1897 1.791 1898 0.89 1899 0.527 1900 0.746 1901 0.706 1902 1.01 1903 0.89 1904 0.888 1905 0.588 1906 0.482 1907 0.551 1908 1.848 1909 0.839 1910 0.681 1911 0.453 1912 0.354 1913 0.336 1914 1.0 1915 0.768 1916 1.18 1917 0.884 1918 1.248 1919 1.065 1920 1.071 1921 0.901 1922 1.019 1923 0.931 1924 1.528 1925 0.777 1926 1.573 1927 0.527 1928 1.474 1929 1.472 1930 0.97 1931 0.988 1932 1.462 1933 1.066 1934 0.91 1935 0.881 1936 1.165 1937 0.896 1938 1.11 1939 1.37 1940 1.385 1941 1.924 1942 1.748 1943 1.659 1944 1.025 1945 1.702 1946 1.392 1947 0.934 1948 1.541 1949 1.02 1950 1.082 1951 1.031 1952 0.603 1953 1.357 1954 0.648 1955 1.483 1956 1.553 1957 1.373 1958 1.293 1959 1.353 1960 0.995 1961 1.078 1962 1.021 1963 0.827 1964 1.447 1965 1.032 1966 0.998 1967 1.505 1968 0.825 1969 1.006 1970 1.119 1971 0.874 1972 0.718 1973 0.784 1974 0.538 1975 0.604 1976 0.823 1977 0.682 1978 0.814 1979 1.223 1980 0.806 1981 0.77 1982 1.027 1983 0.746 1984 1.431 1985 0.381 1986 0.953 1987 0.816 1988 0.672 1989 0.412 1990 0.583