# northamerica_canada_cana212 - Point Providence 2001 Recollection - 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/3961 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana212 - Point Providence 2001 Recollection - 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: Point Providence 2001 Recollection # Location: # Country: Canada # Northernmost_Latitude: 59.0 # Southernmost_Latitude: 59.0 # Easternmost_Longitude: -112.0 # Westernmost_Longitude: -112.0 # Elevation: 209 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana212B # Earliest_Year: 1799 # Most_Recent_Year: 2000 # 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":"4.5309912239","T2":"16.047491012","M1":"0.0231826268636","M2":"0.489876843992"}} #-------------------- # 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 1799 1.063 1800 1.254 1801 1.07 1802 0.833 1803 0.995 1804 1.405 1805 1.42 1806 1.258 1807 0.858 1808 0.706 1809 0.855 1810 0.938 1811 1.103 1812 1.212 1813 1.033 1814 0.877 1815 0.969 1816 0.818 1817 0.918 1818 1.02 1819 0.937 1820 1.077 1821 0.933 1822 1.131 1823 0.94 1824 0.978 1825 0.899 1826 0.76 1827 0.776 1828 0.781 1829 1.076 1830 1.116 1831 1.529 1832 1.4 1833 1.416 1834 1.144 1835 0.938 1836 1.265 1837 1.194 1838 0.996 1839 1.018 1840 0.909 1841 1.104 1842 1.21 1843 0.913 1844 1.162 1845 1.223 1846 0.444 1847 0.98 1848 1.31 1849 1.261 1850 1.118 1851 1.216 1852 1.244 1853 1.308 1854 0.83 1855 1.093 1856 0.985 1857 0.968 1858 1.198 1859 1.184 1860 1.065 1861 0.868 1862 0.679 1863 0.843 1864 1.039 1865 0.903 1866 1.17 1867 1.01 1868 0.989 1869 0.422 1870 0.902 1871 1.113 1872 0.873 1873 1.127 1874 1.218 1875 1.238 1876 1.004 1877 1.198 1878 1.018 1879 0.831 1880 1.072 1881 1.052 1882 1.137 1883 0.875 1884 0.759 1885 0.623 1886 0.55 1887 0.737 1888 0.713 1889 0.755 1890 0.836 1891 0.94 1892 0.873 1893 0.879 1894 0.871 1895 1.039 1896 1.008 1897 1.002 1898 1.082 1899 1.157 1900 1.265 1901 1.399 1902 1.008 1903 0.883 1904 1.072 1905 1.095 1906 1.037 1907 0.777 1908 0.965 1909 0.961 1910 0.922 1911 0.986 1912 0.578 1913 0.537 1914 0.69 1915 0.566 1916 0.542 1917 0.711 1918 0.784 1919 0.913 1920 0.531 1921 0.937 1922 0.921 1923 0.863 1924 0.836 1925 1.008 1926 0.94 1927 1.107 1928 0.609 1929 0.649 1930 0.998 1931 1.1 1932 1.4 1933 1.092 1934 1.221 1935 1.389 1936 1.148 1937 1.043 1938 0.796 1939 0.48 1940 0.698 1941 0.794 1942 0.634 1943 0.447 1944 0.469 1945 0.217 1946 0.363 1947 0.556 1948 0.72 1949 0.689 1950 0.589 1951 0.744 1952 0.619 1953 0.692 1954 0.719 1955 0.844 1956 1.153 1957 1.204 1958 1.445 1959 1.67 1960 1.505 1961 1.222 1962 1.385 1963 1.698 1964 1.815 1965 2.006 1966 1.738 1967 1.596 1968 1.464 1969 1.177 1970 0.674 1971 0.792 1972 0.88 1973 0.924 1974 1.296 1975 1.311 1976 1.194 1977 0.857 1978 0.893 1979 0.867 1980 0.361 1981 0.443 1982 0.288 1983 0.597 1984 0.857 1985 0.764 1986 1.084 1987 0.99 1988 1.141 1989 1.333 1990 0.854 1991 1.043 1992 1.129 1993 1.322 1994 1.442 1995 1.274 1996 1.224 1997 1.275 1998 1.179 1999 0.778 2000 0.614