# asia_russ170w - Severobaikalsk, trocken - 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/4635 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ170w - Severobaikalsk, trocken - 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: Severobaikalsk, trocken # Location: # Country: Russia # Northernmost_Latitude: 55.25 # Southernmost_Latitude: 55.25 # Easternmost_Longitude: 109.5 # Westernmost_Longitude: 109.5 # Elevation: 540 m #-------------------- # Data_Collection # Collection_Name: asia_russ170wB # Earliest_Year: 1758 # Most_Recent_Year: 1996 # 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":"3.29582236999","T2":"14.981125703","M1":"0.0240021797029","M2":"0.519551581555"}} #-------------------- # 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 1758 0.375 1759 1.031 1760 1.166 1761 1.242 1762 0.731 1763 1.181 1764 0.785 1765 0.85 1766 0.507 1767 1.251 1768 1.231 1769 1.002 1770 0.774 1771 1.101 1772 1.084 1773 1.055 1774 1.503 1775 1.512 1776 1.306 1777 1.579 1778 1.6 1779 1.422 1780 1.169 1781 0.892 1782 0.788 1783 1.126 1784 0.822 1785 1.204 1786 1.037 1787 0.576 1788 0.565 1789 1.012 1790 0.965 1791 0.751 1792 1.257 1793 1.267 1794 0.93 1795 1.377 1796 0.892 1797 0.846 1798 0.551 1799 0.527 1800 1.108 1801 0.878 1802 1.228 1803 1.03 1804 0.567 1805 0.42 1806 0.55 1807 0.614 1808 1.012 1809 1.03 1810 1.064 1811 0.402 1812 0.409 1813 0.85 1814 0.623 1815 1.059 1816 0.941 1817 1.209 1818 1.048 1819 1.594 1820 1.113 1821 1.353 1822 1.136 1823 1.322 1824 1.291 1825 1.255 1826 1.716 1827 1.891 1828 1.727 1829 0.654 1830 1.569 1831 0.953 1832 1.351 1833 1.214 1834 0.393 1835 1.183 1836 0.861 1837 0.454 1838 0.51 1839 0.706 1840 0.95 1841 0.904 1842 0.611 1843 0.873 1844 0.907 1845 1.016 1846 1.02 1847 0.511 1848 0.773 1849 0.54 1850 0.944 1851 0.821 1852 0.406 1853 0.968 1854 1.102 1855 1.213 1856 1.062 1857 1.262 1858 0.943 1859 1.478 1860 1.229 1861 1.003 1862 1.218 1863 0.629 1864 0.942 1865 1.291 1866 1.281 1867 1.552 1868 1.04 1869 1.287 1870 1.22 1871 1.52 1872 1.104 1873 1.05 1874 0.846 1875 1.136 1876 1.254 1877 1.133 1878 0.503 1879 0.647 1880 0.622 1881 0.967 1882 1.02 1883 1.617 1884 0.917 1885 1.419 1886 1.439 1887 0.705 1888 1.014 1889 0.572 1890 0.703 1891 1.335 1892 0.609 1893 0.827 1894 0.84 1895 0.547 1896 0.489 1897 0.489 1898 0.419 1899 0.536 1900 0.602 1901 0.496 1902 0.571 1903 0.193 1904 0.671 1905 0.767 1906 0.952 1907 1.247 1908 0.903 1909 1.479 1910 0.836 1911 0.421 1912 0.985 1913 0.821 1914 1.386 1915 1.292 1916 0.674 1917 0.256 1918 0.672 1919 0.704 1920 0.952 1921 0.789 1922 0.515 1923 0.884 1924 0.925 1925 1.409 1926 1.557 1927 1.202 1928 1.395 1929 1.543 1930 1.5 1931 1.408 1932 1.216 1933 1.199 1934 0.67 1935 1.576 1936 1.328 1937 0.849 1938 1.714 1939 1.131 1940 0.737 1941 0.744 1942 1.274 1943 0.617 1944 0.556 1945 0.395 1946 1.142 1947 1.037 1948 1.627 1949 2.317 1950 1.746 1951 1.348 1952 1.335 1953 0.983 1954 0.65 1955 1.109 1956 1.057 1957 0.254 1958 0.847 1959 0.895 1960 0.819 1961 1.2 1962 1.081 1963 0.571 1964 0.621 1965 1.021 1966 1.111 1967 1.232 1968 1.149 1969 1.344 1970 1.289 1971 1.234 1972 1.365 1973 0.963 1974 1.163 1975 1.242 1976 1.165 1977 0.716 1978 0.929 1979 0.688 1980 0.554 1981 0.558 1982 0.515 1983 0.921 1984 0.737 1985 0.505 1986 1.016 1987 0.432 1988 0.845 1989 1.203 1990 0.622 1991 1.04 1992 0.889 1993 1.04 1994 0.593 1995 1.388 1996 1.798