# northamerica_canada_cana133 - Wood Buffalo National Park Site NL - 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/3862 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana133 - Wood Buffalo National Park Site NL - 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: Wood Buffalo National Park Site NL # Location: # Country: Canada # Northernmost_Latitude: 59.58 # Southernmost_Latitude: 59.58 # Easternmost_Longitude: -111.33 # Westernmost_Longitude: -111.33 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana133B # Earliest_Year: 1856 # Most_Recent_Year: 1992 # 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":"5.03663556948","T2":"17.0266277754","M1":"0.023042951083","M2":"0.43092388387"}} #-------------------- # Species # Species_Name: jack pine # Species_Code: PIBN #-------------------- # 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 1856 1.194 1857 1.153 1858 1.079 1859 0.959 1860 1.02 1861 0.868 1862 0.761 1863 1.001 1864 0.784 1865 0.886 1866 1.113 1867 1.045 1868 0.939 1869 0.99 1870 1.134 1871 1.13 1872 1.13 1873 1.15 1874 0.89 1875 0.948 1876 0.853 1877 0.988 1878 1.189 1879 0.785 1880 1.004 1881 0.998 1882 1.371 1883 1.204 1884 1.153 1885 0.906 1886 0.905 1887 0.956 1888 0.935 1889 1.002 1890 0.954 1891 0.854 1892 0.822 1893 0.796 1894 0.933 1895 0.943 1896 0.919 1897 0.968 1898 0.96 1899 0.974 1900 1.038 1901 1.093 1902 0.933 1903 1.053 1904 1.022 1905 1.022 1906 0.906 1907 0.86 1908 0.826 1909 0.844 1910 1.124 1911 1.06 1912 0.822 1913 0.679 1914 0.663 1915 0.635 1916 0.609 1917 0.825 1918 0.812 1919 1.138 1920 0.916 1921 1.017 1922 1.254 1923 0.979 1924 1.059 1925 1.156 1926 1.134 1927 0.923 1928 0.663 1929 1.104 1930 1.174 1931 1.176 1932 0.966 1933 0.767 1934 0.731 1935 1.004 1936 1.147 1937 1.211 1938 1.078 1939 0.851 1940 0.885 1941 0.793 1942 0.853 1943 0.856 1944 0.817 1945 0.762 1946 1.001 1947 0.919 1948 0.938 1949 1.172 1950 1.022 1951 1.029 1952 0.952 1953 1.013 1954 1.013 1955 1.024 1956 1.269 1957 1.184 1958 0.971 1959 1.177 1960 1.215 1961 0.934 1962 0.952 1963 1.186 1964 1.228 1965 1.305 1966 1.152 1967 1.018 1968 1.145 1969 1.167 1970 1.102 1971 0.851 1972 0.716 1973 0.792 1974 0.981 1975 0.992 1976 1.234 1977 1.19 1978 1.17 1979 1.04 1980 0.827 1981 0.66 1982 0.446 1983 0.65 1984 0.903 1985 0.823 1986 1.037 1987 0.996 1988 1.013 1989 0.857 1990 0.783 1991 0.998 1992 0.801