# northamerica_canada_cana191 - St. Vital Park - 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/4804 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana191 - St. Vital Park - 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: St. Vital Park # Location: # Country: Canada # Northernmost_Latitude: 49.75 # Southernmost_Latitude: 49.75 # Easternmost_Longitude: -97.13 # Westernmost_Longitude: -97.13 # Elevation: 230 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana191B # Earliest_Year: 1855 # Most_Recent_Year: 1998 # 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":"5.36133646544","T2":"16.6678401609","M1":"0.0226172451565","M2":"0.498669346355"}} #-------------------- # Species # Species_Name: burr oak # Species_Code: QUMA #-------------------- # 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 1855 0.733 1856 0.917 1857 0.606 1858 0.449 1859 0.216 1860 0.317 1861 0.319 1862 0.389 1863 0.282 1864 0.284 1865 0.557 1866 0.695 1867 0.66 1868 0.49 1869 0.4 1870 0.492 1871 0.526 1872 0.642 1873 0.568 1874 0.59 1875 0.497 1876 0.634 1877 0.87 1878 0.904 1879 1.022 1880 0.831 1881 1.012 1882 1.007 1883 0.602 1884 0.623 1885 0.897 1886 1.018 1887 1.169 1888 1.387 1889 1.279 1890 1.534 1891 1.195 1892 1.65 1893 1.333 1894 1.026 1895 1.093 1896 1.349 1897 1.19 1898 1.44 1899 1.382 1900 0.989 1901 1.679 1902 1.481 1903 0.928 1904 1.157 1905 1.242 1906 1.11 1907 0.968 1908 0.829 1909 0.899 1910 0.785 1911 0.869 1912 0.843 1913 0.71 1914 0.864 1915 0.761 1916 0.998 1917 0.759 1918 1.015 1919 1.539 1920 1.331 1921 1.685 1922 1.521 1923 1.784 1924 1.347 1925 1.504 1926 1.367 1927 1.595 1928 1.598 1929 1.332 1930 1.245 1931 1.009 1932 0.978 1933 1.045 1934 1.202 1935 1.541 1936 0.881 1937 1.169 1938 0.836 1939 0.915 1940 0.742 1941 0.995 1942 0.893 1943 0.938 1944 1.086 1945 1.372 1946 1.022 1947 1.185 1948 1.23 1949 1.123 1950 1.681 1951 1.158 1952 0.962 1953 1.359 1954 1.401 1955 1.307 1956 0.95 1957 1.236 1958 1.078 1959 0.927 1960 0.915 1961 0.718 1962 0.864 1963 0.883 1964 0.775 1965 0.829 1966 0.82 1967 0.629 1968 0.828 1969 0.901 1970 1.051 1971 1.043 1972 0.693 1973 1.132 1974 0.769 1975 1.078 1976 0.897 1977 0.923 1978 1.242 1979 0.791 1980 0.566 1981 0.854 1982 0.637 1983 0.579 1984 0.418 1985 0.386 1986 0.524 1987 0.536 1988 0.475 1989 0.807 1990 0.772 1991 0.581 1992 0.596 1993 0.756 1994 0.893 1995 0.794 1996 1.026 1997 0.987 1998 1.276