# northamerica_canada_cana161 - Adams Lake - 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/4087 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana161 - Adams Lake - 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: Adams Lake # Location: # Country: Canada # Northernmost_Latitude: 51.03 # Southernmost_Latitude: 51.03 # Easternmost_Longitude: -119.05 # Westernmost_Longitude: -119.05 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana161B # Earliest_Year: 1730 # Most_Recent_Year: 1996 # 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":"4.57045578924","T2":"18.5484337529","M1":"0.0233311880625","M2":"0.315976651641"}} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 0.763 1731 0.684 1732 0.716 1733 0.699 1734 0.807 1735 0.746 1736 0.931 1737 0.785 1738 0.85 1739 0.995 1740 0.943 1741 0.903 1742 0.799 1743 0.846 1744 0.861 1745 0.846 1746 0.623 1747 0.944 1748 0.891 1749 0.941 1750 0.897 1751 0.86 1752 0.621 1753 0.785 1754 0.792 1755 0.778 1756 0.904 1757 0.925 1758 0.856 1759 0.836 1760 0.927 1761 0.858 1762 0.846 1763 1.006 1764 1.084 1765 0.874 1766 0.984 1767 1.091 1768 1.108 1769 1.157 1770 1.022 1771 0.934 1772 0.956 1773 1.171 1774 1.212 1775 0.891 1776 1.27 1777 1.338 1778 1.067 1779 0.898 1780 1.006 1781 0.852 1782 0.715 1783 1.0 1784 0.693 1785 0.645 1786 0.772 1787 0.718 1788 0.704 1789 0.722 1790 0.802 1791 0.844 1792 0.946 1793 0.946 1794 1.084 1795 0.99 1796 1.139 1797 0.922 1798 1.039 1799 0.738 1800 1.051 1801 0.723 1802 0.778 1803 1.055 1804 0.98 1805 0.931 1806 0.784 1807 0.943 1808 1.011 1809 0.986 1810 0.673 1811 0.87 1812 0.728 1813 0.764 1814 0.599 1815 0.645 1816 0.755 1817 0.903 1818 0.795 1819 0.592 1820 0.761 1821 0.838 1822 0.759 1823 0.862 1824 0.736 1825 0.911 1826 0.797 1827 0.961 1828 1.076 1829 0.924 1830 0.945 1831 1.115 1832 0.751 1833 0.919 1834 1.109 1835 0.951 1836 0.664 1837 0.9 1838 0.577 1839 1.191 1840 0.965 1841 0.956 1842 1.009 1843 1.061 1844 0.825 1845 0.834 1846 0.911 1847 0.918 1848 1.149 1849 0.831 1850 0.867 1851 1.18 1852 1.143 1853 1.037 1854 0.905 1855 1.056 1856 0.93 1857 0.895 1858 0.985 1859 1.007 1860 0.915 1861 0.863 1862 0.918 1863 1.199 1864 0.891 1865 1.041 1866 0.937 1867 0.71 1868 0.906 1869 1.045 1870 0.842 1871 0.915 1872 0.978 1873 0.89 1874 1.027 1875 1.168 1876 0.868 1877 1.135 1878 1.095 1879 0.936 1880 0.766 1881 0.706 1882 1.008 1883 0.95 1884 0.87 1885 1.059 1886 1.08 1887 0.949 1888 0.971 1889 1.18 1890 1.198 1891 1.205 1892 0.945 1893 1.06 1894 1.023 1895 0.962 1896 1.075 1897 1.168 1898 1.179 1899 0.897 1900 1.018 1901 1.149 1902 1.11 1903 1.281 1904 1.272 1905 1.324 1906 1.167 1907 1.096 1908 1.393 1909 1.112 1910 1.145 1911 1.101 1912 1.264 1913 1.437 1914 1.293 1915 1.206 1916 0.933 1917 1.158 1918 1.257 1919 1.199 1920 1.242 1921 1.042 1922 1.385 1923 1.179 1924 1.111 1925 1.291 1926 1.252 1927 1.009 1928 1.08 1929 0.954 1930 1.039 1931 1.045 1932 0.901 1933 1.058 1934 1.012 1935 1.141 1936 1.343 1937 1.234 1938 1.318 1939 1.146 1940 1.297 1941 1.443 1942 1.222 1943 1.029 1944 1.491 1945 1.461 1946 0.987 1947 1.137 1948 1.294 1949 1.22 1950 1.208 1951 1.083 1952 1.007 1953 1.094 1954 0.833 1955 0.964 1956 0.974 1957 0.923 1958 1.175 1959 0.789 1960 0.767 1961 0.931 1962 0.631 1963 0.888 1964 0.887 1965 1.054 1966 0.969 1967 1.134 1968 0.818 1969 0.813 1970 0.977 1971 0.813 1972 0.616 1973 0.786 1974 0.613 1975 0.809 1976 0.659 1977 0.834 1978 0.787 1979 0.751 1980 0.708 1981 0.707 1982 0.656 1983 0.675 1984 0.692 1985 0.738 1986 0.61 1987 0.817 1988 0.804 1989 0.853 1990 0.863 1991 0.56 1992 0.855 1993 0.599 1994 0.894 1995 0.859 1996 0.66