# asia_russ108w - Baraii River - 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/4339 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ108w - Baraii River - 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: Baraii River # Location: # Country: Russia # Northernmost_Latitude: 63.65 # Southernmost_Latitude: 63.65 # Easternmost_Longitude: 133.78 # Westernmost_Longitude: 133.78 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: asia_russ108wB # Earliest_Year: 1773 # Most_Recent_Year: 1992 # 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":"6.37556763439","T2":"16.1520885625","M1":"0.021924470699","M2":"0.458055766491"}} #-------------------- # 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 1773 0.947 1774 1.135 1775 1.101 1776 1.047 1777 1.039 1778 0.825 1779 0.963 1780 1.027 1781 1.129 1782 1.125 1783 0.846 1784 0.802 1785 0.485 1786 0.831 1787 1.057 1788 1.051 1789 1.169 1790 1.02 1791 0.905 1792 0.811 1793 0.88 1794 1.044 1795 0.893 1796 0.639 1797 0.462 1798 0.303 1799 0.363 1800 0.533 1801 0.626 1802 1.048 1803 0.97 1804 1.065 1805 0.966 1806 0.891 1807 1.032 1808 1.027 1809 1.464 1810 1.32 1811 1.445 1812 0.664 1813 1.257 1814 1.361 1815 1.167 1816 0.673 1817 1.037 1818 0.736 1819 1.357 1820 1.22 1821 1.189 1822 1.483 1823 1.092 1824 1.279 1825 1.265 1826 1.288 1827 1.343 1828 1.184 1829 0.233 1830 0.403 1831 0.543 1832 0.602 1833 1.0 1834 0.928 1835 1.05 1836 1.253 1837 0.819 1838 0.704 1839 0.629 1840 0.613 1841 1.004 1842 0.978 1843 1.253 1844 1.071 1845 0.997 1846 1.109 1847 1.057 1848 1.402 1849 1.404 1850 1.354 1851 1.44 1852 1.237 1853 1.368 1854 0.662 1855 0.763 1856 0.782 1857 0.623 1858 1.108 1859 0.875 1860 1.051 1861 0.669 1862 0.589 1863 0.452 1864 0.366 1865 0.499 1866 0.981 1867 1.128 1868 1.473 1869 1.618 1870 1.392 1871 1.048 1872 0.843 1873 1.343 1874 1.112 1875 1.015 1876 0.924 1877 0.601 1878 0.982 1879 0.72 1880 0.921 1881 0.934 1882 0.83 1883 0.842 1884 0.957 1885 0.511 1886 0.478 1887 0.827 1888 0.829 1889 1.161 1890 1.131 1891 1.044 1892 0.786 1893 1.238 1894 0.969 1895 1.35 1896 0.98 1897 1.002 1898 0.979 1899 1.255 1900 0.914 1901 1.263 1902 0.812 1903 1.431 1904 1.46 1905 1.072 1906 1.644 1907 1.105 1908 1.495 1909 1.125 1910 1.114 1911 0.609 1912 0.943 1913 0.673 1914 0.696 1915 0.685 1916 1.143 1917 0.8 1918 1.285 1919 1.387 1920 0.788 1921 0.72 1922 0.717 1923 1.026 1924 1.097 1925 0.755 1926 0.726 1927 1.057 1928 0.919 1929 0.883 1930 0.934 1931 0.951 1932 1.387 1933 0.682 1934 0.891 1935 0.637 1936 1.508 1937 1.334 1938 1.319 1939 1.448 1940 1.339 1941 0.791 1942 0.757 1943 0.809 1944 1.045 1945 0.955 1946 1.096 1947 1.153 1948 0.906 1949 1.011 1950 0.976 1951 1.439 1952 1.272 1953 1.134 1954 0.685 1955 0.649 1956 0.761 1957 0.584 1958 0.637 1959 0.848 1960 0.895 1961 1.151 1962 1.483 1963 0.895 1964 0.614 1965 0.465 1966 0.708 1967 0.997 1968 0.692 1969 0.859 1970 0.614 1971 0.687 1972 0.949 1973 1.114 1974 1.133 1975 0.993 1976 1.152 1977 1.044 1978 1.019 1979 1.284 1980 0.919 1981 0.974 1982 1.097 1983 0.899 1984 1.13 1985 1.022 1986 0.754 1987 0.56 1988 0.818 1989 0.87 1990 1.034 1991 0.745 1992 0.726