# northamerica_usa_oh003 - Davis Purdue-Glen Helen - 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/2967 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_oh003 - Davis Purdue-Glen Helen - 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: Davis Purdue-Glen Helen # Location: # Country: United States # Northernmost_Latitude: 39.9 # Southernmost_Latitude: 39.9 # Easternmost_Longitude: -84.4 # Westernmost_Longitude: -84.4 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_oh003B # Earliest_Year: 1719 # Most_Recent_Year: 1985 # 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":"4.90198609102","T2":"17.0789661411","M1":"0.0227340971656","M2":"0.554089574704"}} #-------------------- # 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 1719 0.772 1720 0.743 1721 0.765 1722 0.955 1723 0.696 1724 0.717 1725 1.541 1726 0.99 1727 0.794 1728 1.102 1729 1.338 1730 1.23 1731 1.265 1732 1.239 1733 0.977 1734 1.149 1735 1.071 1736 0.854 1737 0.976 1738 1.007 1739 1.201 1740 1.091 1741 0.564 1742 0.893 1743 0.749 1744 0.864 1745 1.216 1746 0.904 1747 1.103 1748 0.728 1749 0.843 1750 1.032 1751 0.744 1752 0.813 1753 0.756 1754 1.156 1755 0.976 1756 1.307 1757 0.756 1758 0.796 1759 0.559 1760 1.006 1761 0.992 1762 0.827 1763 0.789 1764 0.738 1765 0.644 1766 0.828 1767 0.718 1768 0.963 1769 0.839 1770 0.486 1771 0.507 1772 0.714 1773 0.834 1774 0.747 1775 0.824 1776 0.835 1777 0.735 1778 0.645 1779 1.078 1780 0.575 1781 0.751 1782 0.625 1783 0.598 1784 0.598 1785 0.561 1786 0.891 1787 0.973 1788 1.008 1789 0.919 1790 1.026 1791 0.796 1792 0.66 1793 0.797 1794 0.795 1795 0.678 1796 0.804 1797 0.929 1798 0.506 1799 0.56 1800 0.565 1801 0.678 1802 0.694 1803 0.634 1804 0.531 1805 0.613 1806 0.49 1807 0.743 1808 0.572 1809 0.636 1810 0.603 1811 0.442 1812 0.613 1813 0.703 1814 0.938 1815 0.897 1816 0.585 1817 1.096 1818 0.94 1819 0.756 1820 0.968 1821 0.88 1822 0.964 1823 1.241 1824 1.44 1825 1.402 1826 1.509 1827 1.493 1828 1.916 1829 1.482 1830 1.581 1831 1.447 1832 1.347 1833 1.309 1834 1.363 1835 1.43 1836 1.228 1837 1.173 1838 1.042 1839 0.648 1840 1.663 1841 1.163 1842 1.53 1843 1.514 1844 1.293 1845 1.082 1846 1.523 1847 1.704 1848 1.513 1849 1.661 1850 1.247 1851 1.4 1852 1.134 1853 1.577 1854 1.315 1855 1.389 1856 0.985 1857 1.086 1858 1.034 1859 1.178 1860 1.47 1861 1.315 1862 1.464 1863 0.963 1864 1.159 1865 1.278 1866 1.361 1867 1.069 1868 0.954 1869 1.14 1870 0.741 1871 0.88 1872 1.094 1873 1.149 1874 0.852 1875 1.148 1876 1.019 1877 1.086 1878 1.215 1879 1.063 1880 1.058 1881 0.934 1882 1.347 1883 1.178 1884 0.952 1885 0.92 1886 0.994 1887 0.907 1888 0.938 1889 1.517 1890 1.038 1891 1.217 1892 1.456 1893 1.145 1894 1.105 1895 1.009 1896 1.232 1897 1.301 1898 0.955 1899 1.184 1900 1.108 1901 1.228 1902 1.282 1903 1.326 1904 1.112 1905 1.198 1906 1.069 1907 1.156 1908 1.133 1909 0.904 1910 0.827 1911 0.639 1912 1.381 1913 1.088 1914 0.613 1915 1.389 1916 1.198 1917 1.293 1918 0.808 1919 0.837 1920 0.94 1921 0.855 1922 1.033 1923 0.929 1924 1.106 1925 0.938 1926 0.966 1927 1.235 1928 1.054 1929 1.048 1930 0.751 1931 0.875 1932 0.984 1933 0.623 1934 0.745 1935 0.991 1936 0.687 1937 1.117 1938 1.08 1939 0.826 1940 0.736 1941 0.748 1942 0.909 1943 1.057 1944 0.731 1945 1.009 1946 0.889 1947 0.812 1948 0.844 1949 0.836 1950 1.051 1951 0.993 1952 0.674 1953 0.755 1954 0.704 1955 0.922 1956 0.935 1957 1.05 1958 1.03 1959 0.721 1960 0.767 1961 0.809 1962 0.767 1963 0.783 1964 0.84 1965 0.716 1966 0.689 1967 0.673 1968 0.798 1969 0.855 1970 0.741 1971 0.794 1972 0.842 1973 0.845 1974 0.875 1975 0.806 1976 0.758 1977 0.592 1978 0.818 1979 0.79 1980 1.001 1981 0.706 1982 0.905 1983 0.756 1984 0.683 1985 0.837