# northamerica_usa_il010 - Lincoln's New Salem State 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/3169 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_il010 - Lincoln's New Salem State 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: Lincoln's New Salem State Park # Location: # Country: United States # Northernmost_Latitude: 39.97 # Southernmost_Latitude: 39.97 # Easternmost_Longitude: -89.85 # Westernmost_Longitude: -89.85 # Elevation: 180 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_il010B # Earliest_Year: 1727 # Most_Recent_Year: 1980 # 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":"5.18985955813","T2":"16.8141421651","M1":"0.0227701175819","M2":"0.566504502961"}} #-------------------- # 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 1727 1.468 1728 0.809 1729 1.547 1730 1.203 1731 0.883 1732 1.549 1733 1.168 1734 0.994 1735 0.797 1736 0.51 1737 0.999 1738 1.007 1739 1.205 1740 1.47 1741 1.345 1742 0.87 1743 0.812 1744 0.965 1745 1.313 1746 0.674 1747 1.326 1748 0.804 1749 1.019 1750 1.137 1751 1.467 1752 0.719 1753 1.029 1754 1.172 1755 0.855 1756 1.396 1757 1.085 1758 0.842 1759 0.835 1760 0.929 1761 0.976 1762 1.052 1763 1.502 1764 1.401 1765 1.172 1766 1.512 1767 1.028 1768 1.599 1769 1.654 1770 1.296 1771 1.094 1772 0.727 1773 1.021 1774 0.708 1775 1.085 1776 0.931 1777 0.953 1778 0.932 1779 1.126 1780 1.201 1781 1.477 1782 1.032 1783 1.1 1784 1.075 1785 1.024 1786 0.937 1787 1.201 1788 1.132 1789 0.978 1790 1.057 1791 1.061 1792 1.088 1793 0.79 1794 0.931 1795 1.029 1796 1.098 1797 1.146 1798 0.899 1799 0.737 1800 0.712 1801 0.836 1802 0.998 1803 0.562 1804 0.771 1805 1.063 1806 0.625 1807 0.78 1808 0.734 1809 0.768 1810 0.783 1811 0.77 1812 0.605 1813 0.72 1814 1.022 1815 0.738 1816 0.469 1817 0.683 1818 0.565 1819 0.7 1820 0.611 1821 0.681 1822 0.705 1823 0.792 1824 0.8 1825 0.786 1826 0.582 1827 0.775 1828 0.864 1829 0.586 1830 0.704 1831 0.893 1832 0.753 1833 0.518 1834 0.735 1835 0.866 1836 0.882 1837 0.996 1838 0.952 1839 1.126 1840 1.361 1841 0.887 1842 1.451 1843 1.219 1844 1.409 1845 1.073 1846 1.056 1847 0.911 1848 1.128 1849 1.21 1850 1.17 1851 1.405 1852 1.199 1853 1.156 1854 1.0 1855 0.996 1856 0.782 1857 0.671 1858 0.998 1859 1.096 1860 0.812 1861 0.993 1862 1.186 1863 0.96 1864 0.869 1865 0.841 1866 1.013 1867 0.741 1868 0.873 1869 1.315 1870 0.795 1871 0.787 1872 0.889 1873 1.044 1874 0.956 1875 1.241 1876 1.235 1877 1.133 1878 1.222 1879 0.838 1880 1.117 1881 1.105 1882 1.395 1883 1.339 1884 1.343 1885 1.224 1886 1.0 1887 0.822 1888 0.872 1889 1.258 1890 1.136 1891 0.852 1892 1.316 1893 1.034 1894 0.678 1895 0.712 1896 1.347 1897 1.479 1898 1.192 1899 1.239 1900 1.103 1901 1.029 1902 1.256 1903 1.22 1904 1.355 1905 0.953 1906 0.888 1907 1.43 1908 1.314 1909 1.164 1910 0.796 1911 0.622 1912 1.197 1913 0.77 1914 0.685 1915 1.301 1916 1.159 1917 1.084 1918 0.812 1919 1.013 1920 0.939 1921 0.798 1922 0.959 1923 0.919 1924 1.23 1925 0.803 1926 1.037 1927 1.188 1928 1.156 1929 1.067 1930 0.872 1931 0.789 1932 0.918 1933 0.9 1934 0.614 1935 1.163 1936 0.684 1937 1.034 1938 1.178 1939 0.857 1940 0.78 1941 0.826 1942 1.084 1943 0.894 1944 0.667 1945 1.188 1946 1.037 1947 1.047 1948 0.973 1949 1.051 1950 1.121 1951 1.171 1952 1.111 1953 0.901 1954 0.696 1955 1.036 1956 0.749 1957 1.095 1958 1.114 1959 0.864 1960 1.212 1961 1.059 1962 1.038 1963 0.835 1964 0.937 1965 1.03 1966 0.802 1967 0.949 1968 0.925 1969 0.965 1970 0.887 1971 0.791 1972 0.779 1973 1.065 1974 1.072 1975 1.021 1976 0.86 1977 0.809 1978 1.076 1979 0.822 1980 0.886