# northamerica_usa_va023 - Dragon Run - 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/4839 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_va023 - Dragon Run - 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: Dragon Run # Location: # Country: United States # Northernmost_Latitude: 37.62 # Southernmost_Latitude: 37.62 # Easternmost_Longitude: -76.67 # Westernmost_Longitude: -76.67 # Elevation: 6 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_va023B # Earliest_Year: 1762 # Most_Recent_Year: 1984 # 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":"7.13302239709","T2":"19.2331739228","M1":"0.0229295964664","M2":"0.54236143401"}} #-------------------- # Species # Species_Name: baldcypress # Species_Code: TADI #-------------------- # 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 1762 1.034 1763 1.108 1764 0.773 1765 0.569 1766 1.566 1767 0.82 1768 1.384 1769 1.086 1770 1.729 1771 0.714 1772 1.17 1773 1.052 1774 0.83 1775 0.746 1776 0.834 1777 0.792 1778 0.943 1779 0.52 1780 0.596 1781 0.412 1782 0.353 1783 0.584 1784 0.85 1785 0.474 1786 1.16 1787 0.954 1788 0.816 1789 0.729 1790 0.719 1791 0.332 1792 0.654 1793 1.077 1794 1.216 1795 0.547 1796 0.744 1797 0.339 1798 0.407 1799 0.151 1800 0.583 1801 0.826 1802 0.471 1803 0.382 1804 0.734 1805 0.759 1806 0.325 1807 1.172 1808 1.594 1809 1.224 1810 0.704 1811 0.66 1812 1.718 1813 1.514 1814 1.249 1815 0.969 1816 1.333 1817 1.732 1818 1.301 1819 0.902 1820 0.594 1821 0.544 1822 0.738 1823 0.811 1824 0.962 1825 1.262 1826 0.881 1827 1.296 1828 1.533 1829 1.517 1830 1.18 1831 1.531 1832 1.256 1833 1.068 1834 0.857 1835 0.938 1836 1.104 1837 0.531 1838 0.405 1839 0.685 1840 1.104 1841 0.483 1842 1.326 1843 1.341 1844 0.969 1845 0.908 1846 1.382 1847 0.979 1848 0.624 1849 0.632 1850 1.045 1851 0.968 1852 0.804 1853 1.052 1854 1.28 1855 0.95 1856 0.46 1857 1.054 1858 0.823 1859 1.843 1860 1.572 1861 1.131 1862 0.983 1863 1.698 1864 0.521 1865 0.961 1866 1.015 1867 1.398 1868 1.119 1869 1.041 1870 1.146 1871 0.414 1872 0.378 1873 0.642 1874 1.037 1875 1.074 1876 1.041 1877 0.893 1878 0.929 1879 0.596 1880 0.66 1881 1.283 1882 0.969 1883 1.001 1884 1.559 1885 0.955 1886 1.317 1887 1.446 1888 1.174 1889 1.349 1890 0.868 1891 1.128 1892 1.06 1893 0.884 1894 0.978 1895 0.987 1896 0.861 1897 0.823 1898 1.184 1899 0.937 1900 0.44 1901 0.64 1902 0.758 1903 1.2 1904 0.802 1905 0.582 1906 1.082 1907 0.836 1908 1.135 1909 1.382 1910 1.037 1911 0.843 1912 0.802 1913 1.026 1914 1.139 1915 0.984 1916 0.899 1917 0.673 1918 0.85 1919 0.752 1920 0.452 1921 0.306 1922 0.694 1923 0.814 1924 0.543 1925 0.585 1926 0.733 1927 0.685 1928 0.71 1929 0.762 1930 0.611 1931 0.497 1932 1.008 1933 0.836 1934 0.634 1935 1.177 1936 1.155 1937 1.805 1938 1.589 1939 0.713 1940 0.406 1941 0.88 1942 0.934 1943 0.627 1944 1.027 1945 0.969 1946 1.21 1947 1.116 1948 0.593 1949 0.933 1950 0.931 1951 0.09 1952 0.739 1953 0.743 1954 0.554 1955 0.786 1956 1.229 1957 1.098 1958 1.796 1959 1.842 1960 2.171 1961 1.269 1962 1.696 1963 0.998 1964 0.811 1965 1.046 1966 0.43 1967 1.104 1968 0.514 1969 0.702 1970 0.705 1971 0.495 1972 1.148 1973 0.945 1974 0.89 1975 1.628 1976 0.673 1977 0.254 1978 0.659 1979 0.608 1980 0.472 1981 0.498 1982 0.556 1983 0.524 1984 0.914