# asia_russ032w - Nadim River B - 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/4550 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ032w - Nadim River B - 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: Nadim River B # Location: # Country: Russia # Northernmost_Latitude: 66.13 # Southernmost_Latitude: 66.13 # Easternmost_Longitude: 71.67 # Westernmost_Longitude: 71.67 # Elevation: 80 m #-------------------- # Data_Collection # Collection_Name: asia_russ032wB # Earliest_Year: 1775 # 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":"6.39511842309","T2":"19.5481725521","M1":"0.0226171221487","M2":"0.252083291456"}} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1775 1.16 1776 0.557 1777 1.009 1778 1.013 1779 1.142 1780 1.19 1781 1.108 1782 1.454 1783 0.758 1784 1.528 1785 0.894 1786 0.88 1787 0.611 1788 0.572 1789 0.799 1790 0.867 1791 0.802 1792 0.813 1793 1.369 1794 1.116 1795 1.302 1796 1.155 1797 1.291 1798 1.064 1799 1.184 1800 1.148 1801 1.174 1802 0.797 1803 0.86 1804 0.846 1805 1.155 1806 0.896 1807 1.092 1808 1.113 1809 1.246 1810 1.489 1811 1.288 1812 1.151 1813 0.952 1814 1.025 1815 0.949 1816 0.671 1817 0.872 1818 0.523 1819 0.78 1820 0.884 1821 0.687 1822 0.72 1823 1.09 1824 0.78 1825 0.65 1826 0.933 1827 1.147 1828 0.702 1829 1.594 1830 0.839 1831 0.765 1832 1.1 1833 0.963 1834 1.324 1835 1.766 1836 1.28 1837 1.261 1838 1.452 1839 1.16 1840 1.42 1841 0.739 1842 0.84 1843 0.586 1844 0.925 1845 1.087 1846 0.803 1847 0.955 1848 0.978 1849 0.979 1850 0.965 1851 1.297 1852 1.017 1853 1.32 1854 1.022 1855 0.921 1856 1.359 1857 1.154 1858 1.222 1859 1.213 1860 0.915 1861 1.145 1862 0.826 1863 0.906 1864 0.674 1865 0.882 1866 0.687 1867 0.637 1868 0.687 1869 0.74 1870 1.051 1871 0.877 1872 1.004 1873 1.281 1874 1.153 1875 1.11 1876 0.831 1877 0.96 1878 1.015 1879 0.953 1880 1.243 1881 0.637 1882 0.661 1883 1.023 1884 0.88 1885 0.916 1886 0.885 1887 0.839 1888 0.671 1889 0.681 1890 0.802 1891 0.707 1892 0.828 1893 0.616 1894 0.822 1895 0.567 1896 0.798 1897 0.931 1898 1.204 1899 0.485 1900 1.039 1901 0.766 1902 1.036 1903 0.606 1904 0.983 1905 1.066 1906 1.268 1907 0.889 1908 1.017 1909 1.345 1910 1.104 1911 1.641 1912 1.207 1913 1.582 1914 1.199 1915 1.549 1916 0.901 1917 1.316 1918 1.65 1919 1.113 1920 1.365 1921 1.286 1922 1.27 1923 1.484 1924 1.186 1925 1.314 1926 1.689 1927 1.31 1928 1.41 1929 1.443 1930 1.12 1931 1.031 1932 0.595 1933 0.669 1934 0.528 1935 0.781 1936 0.686 1937 0.818 1938 0.882 1939 0.898 1940 0.815 1941 0.765 1942 1.33 1943 1.018 1944 1.127 1945 1.255 1946 0.94 1947 0.752 1948 1.068 1949 0.776 1950 1.044 1951 0.668 1952 0.924 1953 1.001 1954 1.044 1955 1.09 1956 1.304 1957 1.022 1958 1.006 1959 1.251 1960 0.877 1961 0.822 1962 0.623 1963 0.815 1964 0.902 1965 0.978 1966 0.698 1967 1.034 1968 0.685 1969 0.947 1970 0.639 1971 0.647 1972 0.731 1973 0.845 1974 0.784 1975 0.659 1976 0.687 1977 0.865 1978 0.82 1979 0.928 1980 0.674 1981 0.9 1982 0.706 1983 0.937 1984 0.955 1985 0.677 1986 0.818 1987 0.89 1988 0.83 1989 1.027 1990 0.819