# northamerica_canada_cana057 - Fort Simpson McKenzie River Unstable Slope - 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/4417 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana057 - Fort Simpson McKenzie River Unstable Slope - 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 Simpson McKenzie River Unstable Slope # Location: # Country: Canada # Northernmost_Latitude: 61.68 # Southernmost_Latitude: 61.68 # Easternmost_Longitude: -120.72 # Westernmost_Longitude: -120.72 # Elevation: 375 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana057B # Earliest_Year: 1834 # 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":"3.29224423938","T2":"15.8717261644","M1":"0.0231143548806","M2":"0.472640819054"}} #-------------------- # 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 1834 0.478 1835 0.539 1836 0.963 1837 0.969 1838 1.152 1839 1.016 1840 0.776 1841 0.859 1842 0.998 1843 0.783 1844 0.544 1845 0.921 1846 0.821 1847 1.231 1848 1.061 1849 1.162 1850 0.607 1851 1.166 1852 1.406 1853 1.348 1854 1.264 1855 0.973 1856 1.4 1857 1.238 1858 1.082 1859 1.13 1860 1.217 1861 1.114 1862 0.843 1863 1.093 1864 1.048 1865 0.954 1866 1.171 1867 0.671 1868 1.048 1869 0.967 1870 1.154 1871 1.327 1872 0.888 1873 1.3 1874 0.929 1875 1.14 1876 0.958 1877 0.869 1878 0.761 1879 0.562 1880 1.038 1881 1.125 1882 1.29 1883 1.362 1884 1.063 1885 0.67 1886 1.046 1887 1.023 1888 1.028 1889 1.002 1890 1.043 1891 1.237 1892 1.004 1893 0.524 1894 0.873 1895 0.893 1896 0.771 1897 0.808 1898 0.922 1899 1.158 1900 1.108 1901 1.061 1902 1.064 1903 0.838 1904 0.718 1905 1.015 1906 1.335 1907 0.706 1908 1.205 1909 0.918 1910 1.446 1911 1.297 1912 0.387 1913 0.679 1914 0.784 1915 0.615 1916 0.75 1917 0.847 1918 0.914 1919 0.912 1920 0.881 1921 1.034 1922 1.15 1923 1.224 1924 0.876 1925 0.791 1926 1.042 1927 0.936 1928 1.091 1929 0.637 1930 0.786 1931 0.485 1932 1.039 1933 1.039 1934 1.334 1935 0.876 1936 1.06 1937 0.762 1938 1.222 1939 0.658 1940 1.274 1941 1.353 1942 0.581 1943 0.51 1944 0.953 1945 0.486 1946 0.887 1947 0.773 1948 0.967 1949 0.962 1950 1.406 1951 1.247 1952 1.307 1953 1.299 1954 0.641 1955 0.858 1956 1.229 1957 1.2 1958 0.771 1959 1.466 1960 1.252 1961 1.462 1962 1.625 1963 1.512 1964 1.245 1965 1.038 1966 1.401 1967 0.959 1968 0.903 1969 0.926 1970 0.996 1971 0.916 1972 0.893 1973 0.5 1974 1.018 1975 0.906 1976 1.043 1977 1.156 1978 0.77 1979 0.697 1980 0.295 1981 0.762 1982 1.076 1983 1.12 1984 0.849 1985 0.708 1986 0.88 1987 0.459 1988 1.027