# northamerica_canada_cana063 - Wakuach 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/4729 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana063 - Wakuach 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: Wakuach Lake # Location: # Country: Canada # Northernmost_Latitude: 55.28 # Southernmost_Latitude: 55.28 # Easternmost_Longitude: -67.12 # Westernmost_Longitude: -67.12 # Elevation: 1200 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana063B # Earliest_Year: 1726 # 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":"5.64403510523","T2":"17.662945091","M1":"0.0221018203743","M2":"0.35569446712"}} #-------------------- # 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 1726 1.08 1727 0.896 1728 0.922 1729 0.996 1730 0.949 1731 1.106 1732 1.119 1733 1.15 1734 1.072 1735 1.201 1736 1.25 1737 1.174 1738 1.167 1739 1.214 1740 1.032 1741 1.222 1742 1.102 1743 0.966 1744 1.03 1745 1.195 1746 0.978 1747 0.875 1748 1.0 1749 1.056 1750 1.05 1751 1.043 1752 1.107 1753 0.964 1754 1.055 1755 0.987 1756 0.89 1757 1.09 1758 0.993 1759 1.001 1760 1.018 1761 0.844 1762 0.91 1763 0.998 1764 0.862 1765 0.888 1766 1.015 1767 0.791 1768 0.883 1769 0.889 1770 0.926 1771 0.905 1772 0.844 1773 0.963 1774 0.944 1775 0.934 1776 0.89 1777 1.029 1778 0.854 1779 0.811 1780 0.967 1781 0.99 1782 0.985 1783 0.821 1784 0.795 1785 1.084 1786 0.838 1787 0.852 1788 0.779 1789 0.686 1790 0.836 1791 0.746 1792 0.821 1793 0.818 1794 0.842 1795 0.857 1796 0.855 1797 0.989 1798 0.62 1799 0.832 1800 0.84 1801 1.105 1802 1.032 1803 1.169 1804 0.719 1805 0.895 1806 0.958 1807 1.14 1808 1.108 1809 0.948 1810 1.193 1811 1.149 1812 1.086 1813 1.259 1814 1.223 1815 1.166 1816 0.812 1817 0.717 1818 0.994 1819 0.604 1820 0.853 1821 0.921 1822 0.907 1823 0.744 1824 0.77 1825 0.733 1826 0.906 1827 0.852 1828 1.066 1829 0.873 1830 1.069 1831 0.861 1832 1.069 1833 1.074 1834 1.004 1835 0.737 1836 0.845 1837 0.749 1838 0.954 1839 1.09 1840 1.071 1841 1.035 1842 1.037 1843 1.036 1844 1.103 1845 1.194 1846 1.149 1847 1.122 1848 1.078 1849 1.183 1850 1.163 1851 1.2 1852 1.033 1853 1.014 1854 1.348 1855 1.185 1856 1.426 1857 1.013 1858 1.201 1859 1.131 1860 1.14 1861 1.168 1862 1.15 1863 1.123 1864 1.057 1865 0.988 1866 0.938 1867 1.009 1868 1.053 1869 0.966 1870 0.928 1871 0.798 1872 0.91 1873 1.084 1874 1.078 1875 1.097 1876 1.022 1877 1.046 1878 1.298 1879 1.226 1880 1.294 1881 1.296 1882 1.166 1883 1.112 1884 1.19 1885 1.16 1886 1.154 1887 1.097 1888 1.154 1889 1.011 1890 0.992 1891 1.304 1892 1.059 1893 1.193 1894 1.134 1895 1.381 1896 1.11 1897 1.216 1898 1.1 1899 1.111 1900 0.984 1901 0.995 1902 0.995 1903 1.005 1904 1.027 1905 0.917 1906 1.006 1907 1.152 1908 1.092 1909 1.008 1910 1.006 1911 1.19 1912 1.004 1913 1.141 1914 1.163 1915 1.149 1916 1.195 1917 1.212 1918 1.063 1919 0.986 1920 0.831 1921 0.881 1922 0.768 1923 0.751 1924 0.897 1925 0.835 1926 0.679 1927 0.866 1928 0.962 1929 0.784 1930 0.971 1931 1.126 1932 0.773 1933 0.752 1934 1.077 1935 0.822 1936 0.855 1937 0.951 1938 0.98 1939 0.95 1940 0.751 1941 0.941 1942 0.992 1943 0.912 1944 0.936 1945 0.836 1946 0.849 1947 0.895 1948 1.096 1949 1.003 1950 0.804 1951 0.963 1952 0.995 1953 0.948 1954 1.097 1955 1.05 1956 1.028 1957 1.029 1958 0.903 1959 1.073 1960 1.065 1961 1.136 1962 1.089 1963 0.986 1964 0.755 1965 0.739 1966 0.847 1967 1.041 1968 1.0 1969 1.02 1970 0.825 1971 0.842 1972 1.068 1973 0.882 1974 0.899 1975 0.691 1976 0.865 1977 0.907 1978 0.913 1979 0.997 1980 0.971 1981 0.899 1982 0.867 1983 0.87 1984 0.918 1985 0.929 1986 0.635 1987 0.711 1988 0.768