# northamerica_canada_cana217 - Athabasca River Recollection - 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/3927 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana217 - Athabasca River Recollection - 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: Athabasca River Recollection # Location: # Country: Canada # Northernmost_Latitude: 58.37 # Southernmost_Latitude: 58.37 # Easternmost_Longitude: -111.5 # Westernmost_Longitude: -111.5 # Elevation: 75 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana217B # Earliest_Year: 1730 # Most_Recent_Year: 2000 # 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":"3.70055870268","T2":"15.631736179","M1":"0.0234488267698","M2":"0.499866602194"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1730 1.081 1731 1.191 1732 1.225 1733 1.294 1734 0.905 1735 1.05 1736 0.897 1737 0.861 1738 1.087 1739 1.051 1740 0.69 1741 0.954 1742 0.993 1743 0.831 1744 0.807 1745 0.9 1746 0.992 1747 0.862 1748 1.01 1749 0.906 1750 1.229 1751 0.969 1752 1.09 1753 1.012 1754 1.085 1755 1.084 1756 0.967 1757 0.833 1758 0.733 1759 1.012 1760 0.905 1761 1.075 1762 1.104 1763 0.98 1764 0.971 1765 1.341 1766 1.031 1767 1.018 1768 1.074 1769 1.046 1770 1.031 1771 0.892 1772 0.827 1773 0.857 1774 0.771 1775 0.947 1776 0.699 1777 0.901 1778 0.987 1779 1.19 1780 0.952 1781 0.788 1782 1.121 1783 1.275 1784 0.991 1785 1.025 1786 1.01 1787 1.088 1788 0.844 1789 0.829 1790 0.591 1791 1.023 1792 0.803 1793 0.64 1794 0.993 1795 1.117 1796 1.312 1797 1.224 1798 0.763 1799 1.036 1800 0.957 1801 0.978 1802 1.159 1803 0.845 1804 1.083 1805 1.163 1806 1.264 1807 0.958 1808 0.766 1809 0.933 1810 0.953 1811 1.249 1812 1.574 1813 1.493 1814 0.816 1815 0.765 1816 1.157 1817 0.984 1818 1.099 1819 0.996 1820 0.971 1821 1.028 1822 1.045 1823 1.055 1824 0.674 1825 0.958 1826 0.843 1827 0.924 1828 1.07 1829 0.946 1830 0.888 1831 0.94 1832 1.081 1833 1.026 1834 0.982 1835 0.857 1836 1.031 1837 0.713 1838 0.847 1839 0.826 1840 0.779 1841 0.693 1842 0.849 1843 0.747 1844 0.531 1845 0.709 1846 0.427 1847 0.745 1848 0.733 1849 0.828 1850 0.792 1851 0.911 1852 1.098 1853 1.074 1854 0.998 1855 0.837 1856 0.955 1857 0.869 1858 1.231 1859 1.197 1860 1.053 1861 1.074 1862 0.935 1863 1.0 1864 0.974 1865 0.762 1866 0.83 1867 0.598 1868 0.734 1869 0.547 1870 0.876 1871 0.997 1872 1.073 1873 1.1 1874 1.2 1875 1.224 1876 0.84 1877 1.186 1878 0.769 1879 0.618 1880 0.85 1881 1.045 1882 1.401 1883 1.381 1884 0.861 1885 0.917 1886 1.028 1887 1.097 1888 1.155 1889 1.077 1890 0.87 1891 1.042 1892 0.684 1893 0.929 1894 0.906 1895 0.938 1896 1.047 1897 0.969 1898 0.788 1899 0.874 1900 1.046 1901 1.502 1902 1.306 1903 1.045 1904 1.371 1905 1.213 1906 1.097 1907 0.84 1908 1.021 1909 1.068 1910 1.138 1911 1.434 1912 1.002 1913 1.024 1914 0.986 1915 0.934 1916 1.043 1917 0.924 1918 1.142 1919 1.154 1920 0.971 1921 1.217 1922 1.411 1923 1.262 1924 0.941 1925 1.245 1926 1.01 1927 1.135 1928 0.888 1929 1.001 1930 1.105 1931 0.999 1932 1.198 1933 1.276 1934 1.429 1935 1.53 1936 1.316 1937 0.91 1938 0.521 1939 0.538 1940 0.643 1941 0.805 1942 0.681 1943 0.64 1944 0.651 1945 0.535 1946 0.634 1947 0.952 1948 0.974 1949 1.088 1950 0.762 1951 0.813 1952 0.798 1953 0.587 1954 0.68 1955 0.789 1956 0.983 1957 0.949 1958 1.172 1959 1.231 1960 1.171 1961 0.969 1962 1.128 1963 1.447 1964 1.096 1965 1.469 1966 1.114 1967 1.047 1968 1.089 1969 1.262 1970 1.031 1971 0.995 1972 0.885 1973 0.67 1974 0.926 1975 0.917 1976 0.79 1977 0.564 1978 0.435 1979 0.456 1980 0.25 1981 0.385 1982 0.326 1983 0.615 1984 0.85 1985 0.967 1986 1.071 1987 1.095 1988 0.943 1989 1.091 1990 0.9 1991 1.112 1992 1.076 1993 1.323 1994 1.199 1995 0.828 1996 1.18 1997 1.298 1998 1.059 1999 0.855 2000 0.859