# northamerica_usa_sc005 - Francis Beidler Swamp - 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/4857 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_sc005 - Francis Beidler Swamp - 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: Francis Beidler Swamp # Location: # Country: United States # Northernmost_Latitude: 33.18 # Southernmost_Latitude: 33.18 # Easternmost_Longitude: -80.42 # Westernmost_Longitude: -80.42 # Elevation: 12 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_sc005B # Earliest_Year: 1695 # Most_Recent_Year: 1992 # 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":"5.55040179054","T2":"18.6172108829","M1":"0.0224321110784","M2":"0.527581497259"}} #-------------------- # Species # Species_Name: overcup oak # Species_Code: QULY #-------------------- # 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 1695 0.387 1696 0.256 1697 0.279 1698 0.368 1699 0.401 1700 0.366 1701 0.53 1702 0.704 1703 0.331 1704 0.537 1705 0.53 1706 0.341 1707 0.517 1708 0.567 1709 0.426 1710 0.457 1711 0.42 1712 0.472 1713 0.308 1714 0.799 1715 1.552 1716 1.887 1717 2.09 1718 1.196 1719 1.008 1720 0.576 1721 0.561 1722 0.398 1723 0.314 1724 0.232 1725 0.228 1726 0.112 1727 0.307 1728 0.579 1729 1.383 1730 0.961 1731 0.984 1732 1.105 1733 1.258 1734 1.56 1735 1.463 1736 1.384 1737 1.663 1738 1.293 1739 1.342 1740 1.004 1741 0.744 1742 0.878 1743 0.971 1744 0.89 1745 1.039 1746 0.844 1747 0.842 1748 0.874 1749 0.827 1750 0.442 1751 0.61 1752 0.773 1753 2.239 1754 1.211 1755 1.102 1756 0.976 1757 2.036 1758 1.513 1759 1.676 1760 1.392 1761 1.479 1762 1.086 1763 0.9 1764 0.783 1765 1.002 1766 1.342 1767 1.004 1768 1.261 1769 0.964 1770 1.269 1771 1.307 1772 1.172 1773 0.857 1774 0.825 1775 0.845 1776 0.829 1777 0.608 1778 0.764 1779 0.653 1780 1.024 1781 0.651 1782 0.802 1783 0.862 1784 1.055 1785 1.285 1786 1.172 1787 0.791 1788 0.987 1789 1.125 1790 1.112 1791 0.789 1792 0.785 1793 0.799 1794 0.705 1795 0.747 1796 0.471 1797 0.53 1798 0.921 1799 0.736 1800 1.066 1801 0.865 1802 0.896 1803 1.175 1804 1.123 1805 0.989 1806 1.046 1807 1.022 1808 0.78 1809 0.889 1810 1.136 1811 0.847 1812 1.018 1813 0.842 1814 0.94 1815 0.844 1816 0.679 1817 0.717 1818 0.528 1819 0.718 1820 1.106 1821 1.032 1822 0.902 1823 0.888 1824 0.562 1825 0.936 1826 0.662 1827 1.527 1828 0.718 1829 1.15 1830 0.871 1831 1.6 1832 1.447 1833 1.376 1834 1.167 1835 1.106 1836 1.371 1837 0.923 1838 0.579 1839 0.731 1840 1.57 1841 0.883 1842 0.668 1843 1.109 1844 0.523 1845 0.622 1846 1.406 1847 1.517 1848 0.94 1849 0.45 1850 0.936 1851 1.307 1852 1.686 1853 0.768 1854 0.826 1855 0.858 1856 0.794 1857 0.884 1858 0.916 1859 1.07 1860 1.499 1861 0.919 1862 1.255 1863 1.216 1864 1.06 1865 0.885 1866 0.976 1867 1.082 1868 1.138 1869 0.706 1870 0.935 1871 1.202 1872 0.762 1873 0.937 1874 0.817 1875 0.424 1876 0.426 1877 0.785 1878 0.515 1879 0.846 1880 0.709 1881 0.87 1882 1.174 1883 1.473 1884 1.559 1885 1.857 1886 1.799 1887 0.984 1888 1.285 1889 1.413 1890 1.189 1891 1.264 1892 1.036 1893 0.976 1894 0.744 1895 0.966 1896 0.863 1897 1.418 1898 1.153 1899 0.9 1900 1.131 1901 1.258 1902 1.002 1903 1.301 1904 0.795 1905 0.696 1906 0.946 1907 0.975 1908 0.921 1909 0.77 1910 0.828 1911 0.582 1912 1.05 1913 0.915 1914 0.832 1915 1.105 1916 0.708 1917 1.214 1918 1.104 1919 0.929 1920 0.83 1921 1.541 1922 1.273 1923 1.106 1924 0.76 1925 0.575 1926 0.751 1927 0.92 1928 1.864 1929 1.951 1930 0.971 1931 0.798 1932 0.624 1933 0.937 1934 0.863 1935 1.021 1936 1.094 1937 0.623 1938 0.775 1939 1.153 1940 0.94 1941 0.719 1942 0.876 1943 0.79 1944 1.018 1945 1.241 1946 1.398 1947 1.185 1948 1.129 1949 0.907 1950 0.714 1951 0.714 1952 1.023 1953 1.052 1954 1.009 1955 0.623 1956 1.132 1957 0.844 1958 1.013 1959 0.982 1960 0.86 1961 0.963 1962 0.957 1963 0.692 1964 0.991 1965 0.972 1966 1.063 1967 1.026 1968 0.76 1969 0.961 1970 0.819 1971 0.934 1972 1.017 1973 0.886 1974 0.756 1975 1.009 1976 0.816 1977 0.713 1978 0.814 1979 1.147 1980 0.687 1981 0.423 1982 0.735 1983 0.77 1984 1.065 1985 0.829 1986 0.783 1987 1.053 1988 1.038 1989 1.109 1990 0.39 1991 0.363 1992 0.36