# northamerica_canada_cana055 - Capotigaman - 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/4366 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana055 - Capotigaman - 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: Capotigaman # Location: # Country: Canada # Northernmost_Latitude: 50.17 # Southernmost_Latitude: 50.17 # Easternmost_Longitude: -68.17 # Westernmost_Longitude: -68.17 # Elevation: 1000 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana055B # 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":"4.63743808128","T2":"17.2889084837","M1":"0.0227962259165","M2":"0.442365000634"}} #-------------------- # 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 0.616 1796 0.613 1797 0.671 1798 0.802 1799 0.69 1800 0.798 1801 0.898 1802 0.685 1803 0.822 1804 1.06 1805 0.918 1806 0.897 1807 0.97 1808 0.832 1809 0.783 1810 0.899 1811 0.843 1812 0.764 1813 1.126 1814 0.785 1815 0.949 1816 0.947 1817 0.735 1818 0.993 1819 0.827 1820 1.0 1821 1.153 1822 1.059 1823 0.89 1824 1.11 1825 0.945 1826 0.931 1827 0.961 1828 1.067 1829 0.995 1830 1.162 1831 1.265 1832 1.326 1833 1.221 1834 1.308 1835 0.929 1836 1.036 1837 1.035 1838 0.811 1839 0.917 1840 0.858 1841 0.946 1842 0.988 1843 0.956 1844 0.846 1845 0.965 1846 0.855 1847 0.779 1848 1.241 1849 1.092 1850 1.192 1851 1.191 1852 1.052 1853 1.014 1854 0.979 1855 1.003 1856 1.016 1857 1.002 1858 1.071 1859 1.035 1860 0.806 1861 0.999 1862 1.049 1863 1.013 1864 1.142 1865 1.219 1866 1.156 1867 1.106 1868 0.944 1869 0.793 1870 0.832 1871 1.068 1872 0.852 1873 1.155 1874 1.266 1875 1.355 1876 1.079 1877 1.234 1878 1.141 1879 1.204 1880 1.298 1881 1.037 1882 1.003 1883 1.023 1884 1.115 1885 1.205 1886 1.252 1887 1.256 1888 1.325 1889 1.487 1890 1.184 1891 1.383 1892 1.295 1893 1.119 1894 1.004 1895 1.102 1896 1.179 1897 1.608 1898 1.334 1899 1.287 1900 1.465 1901 1.564 1902 1.315 1903 1.383 1904 1.383 1905 1.135 1906 1.101 1907 0.934 1908 0.885 1909 0.742 1910 0.693 1911 0.959 1912 0.784 1913 0.966 1914 0.771 1915 0.782 1916 0.829 1917 0.686 1918 0.711 1919 0.84 1920 0.706 1921 0.656 1922 0.755 1923 0.709 1924 0.87 1925 0.799 1926 0.662 1927 0.793 1928 0.803 1929 0.901 1930 0.93 1931 1.033 1932 1.224 1933 1.127 1934 1.008 1935 1.196 1936 0.966 1937 1.062 1938 0.884 1939 0.973 1940 0.787 1941 0.933 1942 0.912 1943 0.686 1944 0.837 1945 0.935 1946 1.079 1947 0.956 1948 0.971 1949 1.14 1950 1.145 1951 1.277 1952 1.313 1953 1.006 1954 1.028 1955 1.13 1956 0.911 1957 1.003 1958 0.731 1959 1.054 1960 1.122 1961 1.269 1962 1.13 1963 1.044 1964 1.048 1965 0.898 1966 1.11 1967 0.92 1968 0.758 1969 0.917 1970 0.749 1971 0.656 1972 0.653 1973 0.689 1974 0.57 1975 0.595 1976 0.61 1977 0.763 1978 0.68 1979 0.574 1980 0.602 1981 0.607 1982 0.616 1983 0.529 1984 0.59 1985 0.615 1986 0.615 1987 0.621 1988 0.595