# northamerica_canada_cana076 - Eastmain River 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/4404 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana076 - Eastmain River 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: Eastmain River trocken # Location: # Country: Canada # Northernmost_Latitude: 52.03 # Southernmost_Latitude: 52.03 # Easternmost_Longitude: -77.85 # Westernmost_Longitude: -77.85 # Elevation: 450 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana076B # Earliest_Year: 1799 # Most_Recent_Year: 1988 # 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":"5.46304538889","T2":"17.4698844526","M1":"0.0224750192076","M2":"0.377841772624"}} #-------------------- # Species # Species_Name: black spruce # Species_Code: PCMA #-------------------- # 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 1799 1.481 1800 1.088 1801 1.091 1802 1.076 1803 1.229 1804 0.989 1805 0.99 1806 0.907 1807 1.156 1808 0.903 1809 0.746 1810 0.881 1811 0.919 1812 0.861 1813 0.909 1814 0.866 1815 0.911 1816 0.734 1817 0.799 1818 0.808 1819 0.788 1820 1.179 1821 0.892 1822 1.017 1823 0.9 1824 0.872 1825 0.976 1826 0.905 1827 1.084 1828 1.183 1829 1.209 1830 1.297 1831 1.253 1832 1.385 1833 1.14 1834 1.063 1835 0.941 1836 0.929 1837 1.25 1838 0.828 1839 0.693 1840 0.663 1841 0.728 1842 0.749 1843 0.803 1844 0.683 1845 0.905 1846 0.734 1847 0.604 1848 0.947 1849 0.784 1850 0.935 1851 0.979 1852 0.899 1853 1.01 1854 0.886 1855 0.909 1856 0.995 1857 0.749 1858 0.892 1859 0.986 1860 0.908 1861 1.03 1862 0.939 1863 1.016 1864 0.888 1865 0.869 1866 1.006 1867 1.046 1868 0.861 1869 0.983 1870 1.032 1871 1.206 1872 1.236 1873 1.416 1874 1.249 1875 1.073 1876 1.041 1877 1.159 1878 1.28 1879 1.461 1880 0.97 1881 1.374 1882 1.222 1883 1.01 1884 1.255 1885 1.149 1886 1.091 1887 0.879 1888 0.891 1889 0.986 1890 1.069 1891 1.059 1892 1.287 1893 1.092 1894 1.326 1895 1.288 1896 0.911 1897 1.085 1898 1.045 1899 1.143 1900 1.049 1901 1.265 1902 1.434 1903 1.558 1904 1.188 1905 1.143 1906 0.954 1907 0.887 1908 1.01 1909 0.997 1910 0.983 1911 1.073 1912 1.028 1913 1.294 1914 1.086 1915 1.089 1916 1.247 1917 1.12 1918 1.29 1919 1.07 1920 0.906 1921 0.859 1922 1.266 1923 1.117 1924 0.996 1925 0.996 1926 0.803 1927 0.927 1928 1.025 1929 0.898 1930 0.975 1931 1.071 1932 1.11 1933 0.953 1934 0.987 1935 1.039 1936 0.895 1937 0.952 1938 0.932 1939 0.853 1940 0.781 1941 0.952 1942 1.011 1943 0.749 1944 0.784 1945 0.905 1946 0.997 1947 0.891 1948 0.966 1949 0.903 1950 0.987 1951 1.098 1952 1.092 1953 1.061 1954 1.076 1955 0.86 1956 0.806 1957 0.849 1958 0.845 1959 1.007 1960 0.805 1961 0.846 1962 0.636 1963 0.733 1964 0.628 1965 0.768 1966 0.771 1967 0.73 1968 0.701 1969 1.057 1970 1.064 1971 1.08 1972 1.027 1973 1.058 1974 0.692 1975 0.747 1976 0.725 1977 0.802 1978 0.725 1979 0.936 1980 0.758 1981 0.759 1982 0.652 1983 0.657 1984 0.7 1985 0.924 1986 0.718 1987 0.875 1988 0.904