# asia_russ172w - Tschita, Dünen Süd - 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/4693 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ172w - Tschita, Dünen Süd - 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: Tschita, Dünen Süd # Location: # Country: Russia # Northernmost_Latitude: 56.83 # Southernmost_Latitude: 56.83 # Easternmost_Longitude: 118.83 # Westernmost_Longitude: 118.83 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: asia_russ172wB # Earliest_Year: 1773 # 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":"3.07172649607","T2":"16.4561203095","M1":"0.022773238673","M2":"0.502682839388"}} #-------------------- # 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 1773 0.893 1774 0.969 1775 0.745 1776 0.949 1777 0.877 1778 0.847 1779 0.978 1780 1.117 1781 1.024 1782 0.861 1783 0.983 1784 0.648 1785 0.676 1786 0.781 1787 0.872 1788 0.801 1789 0.74 1790 0.827 1791 0.921 1792 0.804 1793 0.77 1794 0.754 1795 0.951 1796 1.199 1797 0.949 1798 1.071 1799 1.146 1800 0.982 1801 0.987 1802 1.168 1803 0.941 1804 0.737 1805 0.94 1806 0.784 1807 0.954 1808 1.135 1809 1.275 1810 1.119 1811 0.898 1812 0.849 1813 0.948 1814 0.776 1815 0.962 1816 1.154 1817 0.857 1818 0.962 1819 1.015 1820 0.918 1821 1.049 1822 1.12 1823 1.352 1824 1.23 1825 1.168 1826 1.239 1827 1.666 1828 1.507 1829 0.917 1830 1.446 1831 0.982 1832 0.999 1833 1.056 1834 0.622 1835 1.103 1836 0.868 1837 0.923 1838 0.873 1839 1.002 1840 0.978 1841 0.992 1842 0.929 1843 1.206 1844 1.14 1845 1.033 1846 1.188 1847 0.831 1848 0.962 1849 1.056 1850 0.894 1851 0.934 1852 0.451 1853 0.558 1854 0.91 1855 0.805 1856 0.97 1857 1.092 1858 1.147 1859 1.107 1860 0.496 1861 1.212 1862 0.859 1863 0.921 1864 0.802 1865 1.001 1866 1.209 1867 1.403 1868 1.411 1869 1.405 1870 1.441 1871 1.112 1872 1.057 1873 1.298 1874 1.107 1875 0.805 1876 1.224 1877 1.1 1878 1.204 1879 1.128 1880 1.078 1881 1.163 1882 1.056 1883 1.222 1884 1.14 1885 0.96 1886 1.133 1887 1.002 1888 0.953 1889 0.796 1890 0.731 1891 0.896 1892 0.813 1893 0.924 1894 1.075 1895 0.903 1896 0.797 1897 0.667 1898 0.802 1899 0.827 1900 0.849 1901 0.564 1902 0.678 1903 0.797 1904 0.743 1905 0.881 1906 0.968 1907 0.849 1908 0.774 1909 0.813 1910 0.728 1911 0.55 1912 0.68 1913 0.781 1914 0.949 1915 0.646 1916 0.776 1917 0.782 1918 0.899 1919 0.822 1920 1.181 1921 1.109 1922 0.769 1923 0.812 1924 0.377 1925 1.082 1926 1.21 1927 0.903 1928 1.201 1929 1.179 1930 1.132 1931 1.192 1932 1.231 1933 1.213 1934 1.318 1935 1.35 1936 1.343 1937 0.774 1938 1.349 1939 1.223 1940 1.258 1941 1.229 1942 1.049 1943 0.936 1944 1.392 1945 1.067 1946 1.129 1947 1.17 1948 1.247 1949 1.235 1950 1.049 1951 1.117 1952 1.429 1953 0.602 1954 0.759 1955 0.929 1956 0.871 1957 0.901 1958 0.836 1959 0.896 1960 0.867 1961 1.108 1962 1.02 1963 1.114 1964 1.028 1965 0.862 1966 1.013 1967 0.854 1968 1.038 1969 1.039 1970 0.789 1971 0.913 1972 0.895 1973 0.769 1974 0.859 1975 0.841 1976 1.068 1977 0.874 1978 0.897 1979 0.868 1980 0.926 1981 0.697 1982 1.008 1983 1.073 1984 0.987 1985 0.847 1986 0.866 1987 0.783 1988 0.87 1989 1.041 1990 0.991 1991 0.971 1992 1.021 1993 1.287 1994 0.985 1995 0.954 1996 1.249