# northamerica_canada_cana066 - No Name 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/4558 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana066 - No Name 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: No Name Lake # Location: # Country: Canada # Northernmost_Latitude: 54.58 # Southernmost_Latitude: 54.58 # Easternmost_Longitude: -77.57 # Westernmost_Longitude: -77.57 # Elevation: 450 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana066B # Earliest_Year: 1795 # 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":"5.35231245854","T2":"17.7215041292","M1":"0.0225546494588","M2":"0.379215351278"}} #-------------------- # 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 1795 0.928 1796 0.988 1797 1.006 1798 0.959 1799 1.353 1800 1.082 1801 1.203 1802 1.32 1803 1.415 1804 1.294 1805 1.15 1806 1.075 1807 1.128 1808 0.89 1809 0.975 1810 0.933 1811 0.993 1812 1.008 1813 0.825 1814 0.832 1815 0.851 1816 0.582 1817 0.704 1818 0.81 1819 0.675 1820 0.784 1821 0.811 1822 0.76 1823 0.65 1824 0.7 1825 0.727 1826 0.778 1827 0.729 1828 1.068 1829 1.105 1830 1.331 1831 1.075 1832 0.909 1833 0.939 1834 0.985 1835 0.594 1836 0.806 1837 0.968 1838 0.765 1839 0.77 1840 0.711 1841 0.882 1842 0.736 1843 0.684 1844 0.864 1845 0.832 1846 0.815 1847 0.776 1848 0.941 1849 0.937 1850 0.964 1851 0.936 1852 0.957 1853 1.047 1854 1.009 1855 1.022 1856 1.03 1857 0.822 1858 0.998 1859 1.147 1860 1.061 1861 1.181 1862 0.923 1863 1.006 1864 1.066 1865 0.773 1866 0.843 1867 1.119 1868 1.141 1869 1.095 1870 1.199 1871 1.009 1872 1.187 1873 1.292 1874 1.301 1875 1.355 1876 1.025 1877 1.096 1878 1.146 1879 1.404 1880 1.229 1881 1.177 1882 1.136 1883 1.188 1884 1.197 1885 1.153 1886 1.158 1887 1.133 1888 1.04 1889 0.89 1890 0.882 1891 1.03 1892 1.037 1893 0.971 1894 0.918 1895 1.098 1896 0.925 1897 0.999 1898 1.005 1899 0.932 1900 0.862 1901 0.914 1902 1.012 1903 1.104 1904 1.111 1905 1.042 1906 1.03 1907 0.951 1908 1.04 1909 1.065 1910 1.123 1911 1.058 1912 0.875 1913 1.049 1914 1.056 1915 1.034 1916 1.093 1917 1.171 1918 1.127 1919 1.193 1920 0.969 1921 1.026 1922 1.125 1923 1.011 1924 1.063 1925 0.987 1926 0.791 1927 0.955 1928 1.133 1929 1.036 1930 1.015 1931 1.155 1932 1.092 1933 0.897 1934 1.05 1935 1.217 1936 0.945 1937 1.046 1938 0.993 1939 1.003 1940 0.959 1941 1.172 1942 1.109 1943 1.039 1944 1.118 1945 1.063 1946 1.052 1947 1.099 1948 1.233 1949 0.988 1950 1.047 1951 1.05 1952 1.033 1953 1.039 1954 1.053 1955 0.861 1956 0.729 1957 0.832 1958 0.855 1959 1.125 1960 0.934 1961 0.979 1962 0.949 1963 1.0 1964 0.769 1965 0.807 1966 1.018 1967 0.879 1968 0.772 1969 0.835 1970 0.834 1971 0.76 1972 0.921 1973 0.972 1974 0.758 1975 0.888 1976 0.822 1977 0.91 1978 0.862 1979 1.028 1980 0.85 1981 0.753 1982 0.786 1983 0.835 1984 0.904 1985 0.789 1986 0.82 1987 1.051 1988 0.969