# northamerica_usa_ar072 - Old Growth Study Washington County - 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/4914 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ar072 - Old Growth Study Washington County - 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: Old Growth Study Washington County # Location: # Country: United States # Northernmost_Latitude: 35.83 # Southernmost_Latitude: 35.83 # Easternmost_Longitude: -94.0 # Westernmost_Longitude: -94.0 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ar072B # Earliest_Year: 1721 # Most_Recent_Year: 1991 # 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":"4.50401989226","T2":"15.9183255229","M1":"0.0221211012459","M2":"0.574798362626"}} #-------------------- # Species # Species_Name: post oak # Species_Code: QUST #-------------------- # 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 1721 0.708 1722 0.436 1723 0.461 1724 0.858 1725 0.853 1726 1.169 1727 0.824 1728 0.631 1729 1.518 1730 0.992 1731 1.095 1732 0.968 1733 1.333 1734 0.696 1735 0.897 1736 0.351 1737 1.024 1738 1.16 1739 1.034 1740 1.008 1741 0.854 1742 1.124 1743 1.115 1744 1.053 1745 0.928 1746 1.034 1747 1.251 1748 0.713 1749 0.655 1750 0.926 1751 1.2 1752 1.001 1753 1.067 1754 1.018 1755 0.714 1756 0.782 1757 0.695 1758 0.98 1759 0.991 1760 0.902 1761 0.931 1762 0.623 1763 0.809 1764 1.293 1765 1.131 1766 0.75 1767 0.48 1768 0.581 1769 0.935 1770 0.812 1771 0.784 1772 0.457 1773 0.572 1774 0.973 1775 0.96 1776 1.072 1777 1.228 1778 0.99 1779 1.073 1780 0.705 1781 0.888 1782 1.102 1783 1.167 1784 1.239 1785 0.834 1786 0.868 1787 1.437 1788 1.339 1789 0.939 1790 0.857 1791 0.444 1792 0.721 1793 0.943 1794 0.85 1795 1.068 1796 1.444 1797 1.371 1798 1.037 1799 1.246 1800 0.77 1801 0.467 1802 0.97 1803 0.87 1804 0.945 1805 1.142 1806 1.059 1807 1.132 1808 1.04 1809 0.823 1810 0.943 1811 1.437 1812 0.528 1813 0.939 1814 0.974 1815 0.897 1816 0.801 1817 0.821 1818 1.134 1819 0.992 1820 0.788 1821 1.138 1822 1.105 1823 1.2 1824 0.935 1825 1.183 1826 1.841 1827 1.368 1828 1.137 1829 0.665 1830 1.12 1831 0.706 1832 0.757 1833 0.966 1834 0.557 1835 0.877 1836 1.367 1837 0.98 1838 0.795 1839 0.482 1840 1.051 1841 0.573 1842 0.957 1843 1.0 1844 1.27 1845 0.996 1846 1.101 1847 0.975 1848 0.937 1849 1.228 1850 0.943 1851 0.655 1852 0.85 1853 1.001 1854 1.076 1855 0.498 1856 0.769 1857 1.076 1858 1.23 1859 0.813 1860 0.966 1861 0.937 1862 0.728 1863 0.703 1864 0.899 1865 1.008 1866 1.187 1867 1.244 1868 0.87 1869 1.56 1870 1.251 1871 1.109 1872 0.78 1873 1.016 1874 0.606 1875 0.62 1876 1.201 1877 1.32 1878 1.367 1879 0.787 1880 0.879 1881 1.037 1882 1.416 1883 1.319 1884 1.13 1885 1.204 1886 0.926 1887 1.127 1888 1.129 1889 1.341 1890 1.375 1891 1.298 1892 1.624 1893 1.532 1894 0.977 1895 1.098 1896 1.027 1897 0.903 1898 1.136 1899 1.022 1900 0.858 1901 0.609 1902 0.83 1903 1.269 1904 1.235 1905 1.113 1906 1.16 1907 1.179 1908 1.179 1909 1.191 1910 0.87 1911 0.549 1912 1.055 1913 0.798 1914 0.766 1915 1.297 1916 1.124 1917 1.106 1918 0.808 1919 0.98 1920 1.072 1921 0.975 1922 0.766 1923 1.129 1924 1.156 1925 0.606 1926 0.789 1927 1.034 1928 1.237 1929 1.214 1930 0.861 1931 0.767 1932 0.941 1933 0.852 1934 0.825 1935 1.358 1936 0.71 1937 0.856 1938 1.236 1939 0.959 1940 0.802 1941 0.896 1942 0.999 1943 1.051 1944 1.15 1945 1.203 1946 1.328 1947 1.068 1948 0.916 1949 1.234 1950 1.084 1951 1.106 1952 0.933 1953 0.647 1954 0.877 1955 1.157 1956 1.197 1957 0.991 1958 0.953 1959 0.907 1960 0.767 1961 0.633 1962 0.792 1963 0.68 1964 0.679 1965 0.872 1966 0.755 1967 0.734 1968 0.857 1969 0.938 1970 0.956 1971 0.905 1972 0.694 1973 1.136 1974 0.885 1975 1.491 1976 1.276 1977 0.656 1978 0.99 1979 0.857 1980 0.802 1981 0.606 1982 1.158 1983 1.365 1984 0.906 1985 1.215 1986 1.043 1987 1.029 1988 0.801 1989 1.091 1990 1.128 1991 0.851