# northamerica_usa_oh006 - Dysart Woods - 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/4278 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_oh006 - Dysart Woods - 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: Dysart Woods # Location: # Country: United States # Northernmost_Latitude: 39.98 # Southernmost_Latitude: 39.98 # Easternmost_Longitude: -81.0 # Westernmost_Longitude: -81.0 # Elevation: 384 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_oh006B # Earliest_Year: 1777 # Most_Recent_Year: 1997 # 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":"4.52474026114","T2":"17.0071489072","M1":"0.0233219690162","M2":"0.608195438836"}} #-------------------- # Species # Species_Name: white oak # Species_Code: QUAL #-------------------- # 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 1777 0.526 1778 0.363 1779 0.884 1780 0.715 1781 1.059 1782 0.975 1783 0.937 1784 1.075 1785 0.846 1786 0.763 1787 0.883 1788 0.882 1789 0.796 1790 0.425 1791 0.339 1792 0.544 1793 0.63 1794 0.977 1795 0.899 1796 1.118 1797 1.129 1798 0.915 1799 0.877 1800 0.98 1801 1.017 1802 1.051 1803 0.736 1804 0.911 1805 0.878 1806 0.639 1807 0.846 1808 0.931 1809 0.998 1810 0.852 1811 0.85 1812 0.819 1813 0.711 1814 1.087 1815 0.883 1816 0.559 1817 1.179 1818 1.428 1819 0.952 1820 1.023 1821 0.665 1822 0.784 1823 0.783 1824 1.066 1825 0.847 1826 0.949 1827 1.025 1828 1.13 1829 0.783 1830 1.302 1831 1.303 1832 1.024 1833 1.321 1834 1.266 1835 1.252 1836 1.1 1837 1.131 1838 0.954 1839 0.549 1840 1.004 1841 0.847 1842 1.034 1843 0.895 1844 0.901 1845 0.921 1846 0.684 1847 1.013 1848 1.09 1849 0.893 1850 1.04 1851 1.176 1852 0.921 1853 0.906 1854 0.849 1855 0.818 1856 0.621 1857 0.572 1858 0.646 1859 1.199 1860 1.059 1861 0.854 1862 0.925 1863 0.803 1864 0.727 1865 1.073 1866 0.917 1867 0.864 1868 0.683 1869 1.238 1870 1.032 1871 0.742 1872 1.041 1873 0.761 1874 0.596 1875 1.159 1876 1.022 1877 1.069 1878 0.932 1879 0.764 1880 1.069 1881 1.11 1882 1.28 1883 1.225 1884 0.83 1885 1.035 1886 1.028 1887 0.853 1888 0.882 1889 1.139 1890 1.107 1891 0.993 1892 0.998 1893 0.925 1894 0.874 1895 0.57 1896 1.245 1897 1.396 1898 1.197 1899 1.026 1900 1.025 1901 1.158 1902 1.344 1903 1.272 1904 1.219 1905 1.109 1906 1.132 1907 1.114 1908 1.098 1909 0.835 1910 0.83 1911 0.904 1912 1.27 1913 1.297 1914 0.953 1915 1.471 1916 1.539 1917 1.521 1918 0.805 1919 1.07 1920 1.104 1921 0.968 1922 1.063 1923 1.061 1924 1.275 1925 0.871 1926 0.828 1927 1.242 1928 1.367 1929 0.975 1930 0.792 1931 0.996 1932 1.062 1933 1.126 1934 0.92 1935 1.362 1936 0.885 1937 1.547 1938 1.189 1939 1.129 1940 1.061 1941 1.145 1942 1.221 1943 1.36 1944 1.129 1945 1.193 1946 1.222 1947 1.061 1948 0.933 1949 1.022 1950 1.368 1951 1.375 1952 1.094 1953 1.15 1954 0.951 1955 0.918 1956 1.392 1957 1.075 1958 1.398 1959 0.917 1960 0.891 1961 1.174 1962 0.827 1963 1.004 1964 0.997 1965 0.909 1966 0.662 1967 0.719 1968 0.872 1969 1.096 1970 1.012 1971 0.95 1972 0.688 1973 1.017 1974 1.015 1975 1.19 1976 0.816 1977 0.595 1978 1.004 1979 0.735 1980 1.342 1981 0.774 1982 0.79 1983 0.938 1984 0.762 1985 0.829 1986 0.897 1987 0.846 1988 0.624 1989 0.907 1990 0.947 1991 0.68 1992 0.683 1993 1.108 1994 0.818 1995 0.882 1996 0.695 1997 0.729