# northamerica_usa_tn029 - Savage Gulf Update - 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/8534 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_tn029 - Savage Gulf Update - 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: Savage Gulf Update # Location: # Country: United States # Northernmost_Latitude: 35.43 # Southernmost_Latitude: 35.43 # Easternmost_Longitude: -85.57 # Westernmost_Longitude: -85.57 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_tn029B # Earliest_Year: 1678 # Most_Recent_Year: 2006 # 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":"4.72459518723","T2":"16.0284002224","M1":"0.0225071793211","M2":"0.572311586341"}} #-------------------- # Species # Species_Name: eastern hemlock # Species_Code: TSCA #-------------------- # 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 1678 0.924 1679 0.891 1680 0.989 1681 0.533 1682 0.893 1683 0.741 1684 0.823 1685 0.872 1686 0.755 1687 0.918 1688 0.887 1689 0.787 1690 0.913 1691 0.704 1692 0.781 1693 1.009 1694 1.064 1695 1.127 1696 1.075 1697 1.04 1698 0.779 1699 0.95 1700 0.901 1701 0.87 1702 0.916 1703 0.814 1704 0.996 1705 1.118 1706 1.154 1707 1.273 1708 0.975 1709 0.95 1710 1.118 1711 0.985 1712 1.031 1713 0.781 1714 0.941 1715 0.83 1716 0.976 1717 1.198 1718 1.124 1719 0.983 1720 0.814 1721 0.834 1722 0.888 1723 0.81 1724 0.948 1725 0.931 1726 0.837 1727 0.659 1728 0.833 1729 0.801 1730 0.784 1731 0.819 1732 1.054 1733 1.061 1734 0.939 1735 0.854 1736 0.983 1737 1.005 1738 1.016 1739 1.109 1740 1.244 1741 1.263 1742 1.324 1743 1.061 1744 1.094 1745 1.22 1746 1.011 1747 0.973 1748 0.819 1749 0.804 1750 0.941 1751 0.977 1752 0.95 1753 0.948 1754 0.855 1755 0.87 1756 0.955 1757 0.678 1758 0.724 1759 0.754 1760 0.875 1761 0.791 1762 0.846 1763 0.671 1764 0.489 1765 0.576 1766 0.672 1767 0.735 1768 0.977 1769 1.008 1770 1.074 1771 1.111 1772 0.705 1773 0.507 1774 0.672 1775 0.59 1776 1.259 1777 1.725 1778 1.396 1779 1.455 1780 1.343 1781 1.613 1782 1.59 1783 1.941 1784 1.187 1785 0.977 1786 1.236 1787 1.076 1788 0.958 1789 1.185 1790 1.324 1791 0.982 1792 1.059 1793 1.437 1794 1.414 1795 1.572 1796 1.372 1797 1.209 1798 1.21 1799 0.981 1800 0.892 1801 0.856 1802 0.898 1803 1.074 1804 1.361 1805 1.063 1806 1.115 1807 1.222 1808 1.359 1809 1.047 1810 1.27 1811 1.043 1812 0.797 1813 0.558 1814 0.529 1815 0.486 1816 0.653 1817 0.84 1818 0.982 1819 0.815 1820 0.919 1821 1.027 1822 1.049 1823 1.208 1824 1.282 1825 1.269 1826 0.929 1827 0.937 1828 1.021 1829 1.064 1830 0.986 1831 0.847 1832 0.997 1833 1.062 1834 0.831 1835 0.729 1836 0.722 1837 0.87 1838 0.842 1839 0.651 1840 0.667 1841 0.863 1842 0.625 1843 0.844 1844 0.96 1845 0.893 1846 0.912 1847 0.96 1848 0.962 1849 1.127 1850 1.092 1851 0.814 1852 0.725 1853 0.699 1854 0.837 1855 0.588 1856 0.763 1857 1.102 1858 1.114 1859 0.992 1860 0.911 1861 0.538 1862 0.617 1863 0.59 1864 0.894 1865 0.735 1866 0.75 1867 0.843 1868 0.664 1869 0.786 1870 0.852 1871 0.903 1872 0.77 1873 0.743 1874 0.868 1875 0.7 1876 1.151 1877 1.004 1878 0.933 1879 0.828 1880 0.568 1881 0.849 1882 0.735 1883 0.898 1884 0.87 1885 1.056 1886 0.795 1887 0.747 1888 0.668 1889 0.89 1890 1.017 1891 0.575 1892 0.859 1893 0.969 1894 0.818 1895 0.727 1896 0.993 1897 0.908 1898 0.702 1899 0.713 1900 0.873 1901 0.896 1902 0.623 1903 0.812 1904 0.996 1905 0.921 1906 0.975 1907 0.848 1908 1.051 1909 1.499 1910 1.479 1911 1.356 1912 0.66 1913 0.803 1914 0.455 1915 0.734 1916 1.008 1917 1.123 1918 0.98 1919 0.938 1920 0.842 1921 0.889 1922 1.017 1923 1.23 1924 0.923 1925 0.589 1926 0.63 1927 0.82 1928 1.063 1929 0.989 1930 0.782 1931 0.427 1932 0.66 1933 0.777 1934 0.785 1935 1.228 1936 0.95 1937 0.72 1938 1.165 1939 1.522 1940 1.014 1941 0.694 1942 0.706 1943 0.902 1944 0.885 1945 0.917 1946 1.27 1947 1.083 1948 0.758 1949 0.92 1950 1.155 1951 0.959 1952 0.849 1953 0.693 1954 0.648 1955 0.851 1956 1.087 1957 0.954 1958 1.177 1959 1.138 1960 0.872 1961 0.892 1962 0.966 1963 0.707 1964 0.935 1965 0.916 1966 1.127 1967 1.112 1968 1.088 1969 1.062 1970 1.294 1971 1.489 1972 1.585 1973 1.458 1974 1.3 1975 1.283 1976 1.155 1977 1.143 1978 0.986 1979 0.88 1980 1.028 1981 1.039 1982 1.082 1983 0.991 1984 1.031 1985 1.237 1986 0.987 1987 0.874 1988 0.737 1989 0.851 1990 0.955 1991 1.03 1992 1.117 1993 1.193 1994 0.915 1995 1.23 1996 1.158 1997 0.984 1998 1.088 1999 0.737 2000 0.839 2001 0.918 2002 0.94 2003 0.763 2004 1.052 2005 0.991 2006 0.895