# northamerica_canada_cana254 - Greenwood Lake Yellow/Blue - 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/6159 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana254 - Greenwood Lake Yellow/Blue - 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: Greenwood Lake Yellow/Blue # Location: # Country: Canada # Northernmost_Latitude: 48.38 # Southernmost_Latitude: 48.38 # Easternmost_Longitude: -90.75 # Westernmost_Longitude: -90.75 # Elevation: 503 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana254B # Earliest_Year: 1776 # Most_Recent_Year: 2004 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.76052449715","T2":"16.6946501741","M1":"0.0225327160505","M2":"0.443109670409"}} #-------------------- # Species # Species_Name: eastern white pine # Species_Code: PIST #-------------------- # 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 1776 0.646 1777 0.947 1778 1.014 1779 0.915 1780 1.19 1781 0.971 1782 0.845 1783 0.855 1784 0.935 1785 0.79 1786 0.849 1787 1.073 1788 0.988 1789 0.976 1790 0.896 1791 0.921 1792 0.638 1793 0.763 1794 0.627 1795 0.768 1796 0.837 1797 0.906 1798 0.812 1799 1.021 1800 1.036 1801 1.258 1802 1.485 1803 0.948 1804 0.718 1805 1.082 1806 0.936 1807 1.042 1808 1.018 1809 0.947 1810 1.087 1811 1.117 1812 1.358 1813 1.291 1814 1.088 1815 1.14 1816 1.168 1817 0.888 1818 0.899 1819 1.436 1820 1.322 1821 0.848 1822 1.023 1823 0.845 1824 0.875 1825 0.874 1826 0.823 1827 1.038 1828 1.1 1829 1.001 1830 0.952 1831 1.007 1832 0.828 1833 0.93 1834 1.054 1835 1.173 1836 1.15 1837 0.963 1838 0.771 1839 0.573 1840 0.684 1841 0.82 1842 0.648 1843 0.859 1844 0.744 1845 1.245 1846 1.618 1847 1.377 1848 1.658 1849 1.238 1850 1.278 1851 1.015 1852 0.86 1853 0.65 1854 0.886 1855 0.916 1856 1.125 1857 0.921 1858 0.969 1859 1.225 1860 1.071 1861 0.844 1862 0.807 1863 0.656 1864 0.666 1865 1.093 1866 0.806 1867 1.003 1868 0.978 1869 1.019 1870 1.062 1871 1.139 1872 1.193 1873 1.315 1874 0.921 1875 0.926 1876 0.936 1877 1.185 1878 1.224 1879 0.997 1880 0.899 1881 0.973 1882 0.792 1883 0.653 1884 0.778 1885 0.991 1886 0.886 1887 1.078 1888 0.962 1889 1.017 1890 0.765 1891 0.913 1892 0.944 1893 0.905 1894 0.814 1895 1.068 1896 1.162 1897 1.268 1898 1.394 1899 1.561 1900 1.77 1901 1.15 1902 1.29 1903 1.115 1904 0.883 1905 0.61 1906 0.563 1907 0.44 1908 0.655 1909 0.623 1910 0.356 1911 0.532 1912 0.647 1913 0.709 1914 0.996 1915 0.926 1916 0.945 1917 1.248 1918 1.08 1919 0.682 1920 0.661 1921 0.619 1922 0.914 1923 0.899 1924 0.937 1925 1.176 1926 0.925 1927 0.888 1928 0.994 1929 1.117 1930 1.401 1931 0.909 1932 1.185 1933 1.112 1934 1.186 1935 1.539 1936 0.915 1937 0.878 1938 1.124 1939 1.476 1940 1.17 1941 0.991 1942 1.012 1943 0.872 1944 1.336 1945 1.075 1946 0.693 1947 0.54 1948 0.554 1949 0.764 1950 0.87 1951 0.986 1952 0.96 1953 0.963 1954 0.833 1955 0.687 1956 0.676 1957 0.732 1958 0.829 1959 0.925 1960 1.1 1961 1.024 1962 1.061 1963 1.115 1964 1.247 1965 1.456 1966 0.939 1967 0.896 1968 1.037 1969 1.172 1970 1.032 1971 1.214 1972 1.25 1973 1.107 1974 1.062 1975 1.017 1976 1.111 1977 0.872 1978 1.043 1979 0.859 1980 1.044 1981 1.02 1982 0.979 1983 1.113 1984 1.473 1985 1.377 1986 1.229 1987 1.114 1988 1.147 1989 1.171 1990 0.842 1991 0.993 1992 0.69 1993 0.873 1994 0.843 1995 0.679 1996 0.639 1997 0.758 1998 0.596 1999 1.138 2000 1.254 2001 1.419 2002 1.206 2003 1.265 2004 1.176