# northamerica_canada_cana047 - Fort Providence - 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/4415 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana047 - Fort Providence - 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: Fort Providence # Location: # Country: Canada # Northernmost_Latitude: 61.17 # Southernmost_Latitude: 61.17 # Easternmost_Longitude: -117.37 # Westernmost_Longitude: -117.37 # Elevation: 500 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana047B # Earliest_Year: 1835 # Most_Recent_Year: 1988 # 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":"4.54965764439","T2":"16.803339588","M1":"0.0232750758716","M2":"0.468263409394"}} #-------------------- # 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 1835 1.051 1836 0.951 1837 0.831 1838 0.973 1839 1.058 1840 1.309 1841 1.53 1842 0.943 1843 1.081 1844 0.869 1845 1.051 1846 1.177 1847 1.193 1848 1.064 1849 1.166 1850 0.98 1851 1.18 1852 1.101 1853 1.173 1854 1.03 1855 1.072 1856 1.059 1857 0.909 1858 0.828 1859 0.858 1860 0.998 1861 0.988 1862 1.056 1863 1.011 1864 0.86 1865 0.747 1866 0.766 1867 0.859 1868 0.758 1869 0.695 1870 0.664 1871 0.695 1872 0.795 1873 1.046 1874 0.979 1875 1.067 1876 0.901 1877 0.992 1878 0.824 1879 0.823 1880 0.961 1881 1.006 1882 1.062 1883 1.163 1884 1.05 1885 1.075 1886 0.901 1887 1.128 1888 1.024 1889 1.265 1890 1.16 1891 1.091 1892 0.949 1893 0.883 1894 0.918 1895 0.928 1896 0.937 1897 1.057 1898 0.836 1899 0.956 1900 0.945 1901 0.942 1902 0.831 1903 0.78 1904 0.812 1905 0.952 1906 0.993 1907 0.879 1908 0.959 1909 0.932 1910 1.288 1911 1.145 1912 0.832 1913 0.71 1914 0.927 1915 0.837 1916 0.771 1917 0.74 1918 0.703 1919 0.804 1920 0.81 1921 1.149 1922 1.215 1923 1.23 1924 1.055 1925 1.186 1926 1.039 1927 1.09 1928 1.118 1929 0.901 1930 0.929 1931 0.907 1932 1.076 1933 1.06 1934 1.199 1935 1.301 1936 1.207 1937 1.45 1938 1.549 1939 0.871 1940 1.072 1941 1.073 1942 0.857 1943 0.73 1944 0.686 1945 0.689 1946 0.727 1947 0.761 1948 0.826 1949 0.807 1950 0.978 1951 1.117 1952 1.033 1953 0.885 1954 0.829 1955 1.005 1956 1.167 1957 1.256 1958 1.285 1959 1.414 1960 1.362 1961 1.163 1962 1.177 1963 1.235 1964 1.135 1965 1.072 1966 1.079 1967 0.924 1968 0.883 1969 0.904 1970 0.998 1971 0.899 1972 0.791 1973 0.785 1974 0.892 1975 1.085 1976 0.866 1977 0.996 1978 0.819 1979 0.889 1980 0.467 1981 0.816 1982 0.839 1983 0.908 1984 1.045 1985 1.194 1986 1.325 1987 1.211 1988 1.355