# northamerica_canada_cana264 - The Pines at Quetico - 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/6169 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana264 - The Pines at Quetico - 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: The Pines at Quetico # Location: # Country: Canada # Northernmost_Latitude: 48.65 # Southernmost_Latitude: 48.65 # Easternmost_Longitude: -91.22 # Westernmost_Longitude: -91.22 # Elevation: 411 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana264B # Earliest_Year: 1772 # Most_Recent_Year: 2003 # 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":"5.67149400901","T2":"17.4190109062","M1":"0.0224445944843","M2":"0.356962787193"}} #-------------------- # Species # Species_Name: red pine # Species_Code: PIRE #-------------------- # 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 1772 1.306 1773 1.387 1774 1.451 1775 1.509 1776 1.338 1777 1.321 1778 1.426 1779 1.292 1780 1.214 1781 1.167 1782 1.21 1783 1.087 1784 1.002 1785 0.946 1786 1.036 1787 1.026 1788 0.857 1789 0.681 1790 0.722 1791 0.642 1792 0.677 1793 0.74 1794 0.547 1795 0.535 1796 0.686 1797 0.566 1798 0.639 1799 0.501 1800 0.579 1801 0.659 1802 0.758 1803 0.461 1804 0.428 1805 0.582 1806 0.54 1807 0.71 1808 0.895 1809 0.809 1810 0.906 1811 0.842 1812 0.857 1813 1.011 1814 1.086 1815 1.202 1816 1.055 1817 1.039 1818 1.08 1819 1.22 1820 1.013 1821 0.781 1822 0.999 1823 0.883 1824 0.733 1825 0.954 1826 0.852 1827 1.022 1828 1.179 1829 0.928 1830 0.955 1831 0.95 1832 1.125 1833 1.36 1834 1.341 1835 1.162 1836 1.063 1837 0.952 1838 0.949 1839 0.765 1840 0.807 1841 0.788 1842 0.881 1843 0.791 1844 0.754 1845 0.868 1846 0.987 1847 0.985 1848 1.17 1849 1.024 1850 1.086 1851 1.123 1852 0.996 1853 1.14 1854 1.03 1855 1.038 1856 1.105 1857 1.007 1858 1.143 1859 1.23 1860 1.085 1861 1.013 1862 0.907 1863 0.985 1864 0.935 1865 1.048 1866 1.072 1867 1.145 1868 1.096 1869 1.096 1870 1.164 1871 1.055 1872 1.155 1873 1.336 1874 1.316 1875 1.304 1876 1.341 1877 1.486 1878 1.294 1879 0.994 1880 0.784 1881 0.736 1882 0.83 1883 0.938 1884 0.883 1885 0.963 1886 0.977 1887 1.103 1888 1.06 1889 1.235 1890 1.082 1891 1.178 1892 1.357 1893 1.089 1894 0.943 1895 0.887 1896 0.814 1897 0.711 1898 0.747 1899 0.913 1900 1.05 1901 0.993 1902 0.986 1903 0.93 1904 0.971 1905 1.088 1906 1.028 1907 0.921 1908 1.07 1909 1.001 1910 0.7 1911 0.843 1912 0.871 1913 0.911 1914 0.974 1915 1.196 1916 1.152 1917 1.161 1918 1.117 1919 0.825 1920 0.992 1921 0.908 1922 1.146 1923 0.942 1924 0.858 1925 1.058 1926 1.143 1927 0.943 1928 1.088 1929 0.979 1930 1.112 1931 1.178 1932 1.305 1933 1.02 1934 1.173 1935 1.244 1936 0.981 1937 1.1 1938 1.113 1939 1.182 1940 0.867 1941 0.871 1942 0.966 1943 0.734 1944 0.9 1945 0.824 1946 0.654 1947 0.631 1948 0.548 1949 0.747 1950 0.766 1951 0.906 1952 0.996 1953 1.064 1954 0.94 1955 0.992 1956 0.881 1957 0.915 1958 0.934 1959 1.149 1960 1.031 1961 1.035 1962 1.043 1963 1.043 1964 1.151 1965 1.3 1966 1.064 1967 1.093 1968 0.94 1969 1.048 1970 0.917 1971 0.93 1972 0.924 1973 0.935 1974 0.873 1975 0.9 1976 0.843 1977 0.758 1978 0.953 1979 0.984 1980 0.876 1981 1.027 1982 0.896 1983 0.841 1984 1.096 1985 1.058 1986 0.971 1987 0.826 1988 0.75 1989 0.794 1990 0.909 1991 0.771 1992 0.796 1993 1.059 1994 0.913 1995 0.729 1996 0.733 1997 0.716 1998 0.663 1999 0.908 2000 0.975 2001 0.944 2002 0.951 2003 1.036