# northamerica_usa_ny012 - Spruce Glen - 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/3031 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ny012 - Spruce Glen - 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: Spruce Glen # Location: # Country: United States # Northernmost_Latitude: 41.77 # Southernmost_Latitude: 41.77 # Easternmost_Longitude: -74.18 # Westernmost_Longitude: -74.18 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ny012B # Earliest_Year: 1671 # 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":"4.58056571407","T2":"12.8817658476","M1":"0.0217043511914","M2":"0.308321063741"}} #-------------------- # 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 1671 0.724 1672 0.755 1673 1.003 1674 1.125 1675 0.956 1676 0.966 1677 0.971 1678 1.089 1679 0.969 1680 1.008 1681 0.802 1682 0.972 1683 0.831 1684 1.088 1685 0.849 1686 0.793 1687 0.747 1688 0.859 1689 0.931 1690 0.993 1691 0.905 1692 1.072 1693 1.272 1694 1.048 1695 1.283 1696 0.975 1697 0.765 1698 0.791 1699 0.694 1700 0.44 1701 0.491 1702 0.33 1703 0.783 1704 0.769 1705 1.079 1706 1.504 1707 1.119 1708 1.022 1709 1.145 1710 0.997 1711 1.081 1712 1.068 1713 1.027 1714 1.191 1715 1.048 1716 0.967 1717 1.052 1718 1.156 1719 1.105 1720 1.044 1721 1.155 1722 1.003 1723 0.834 1724 0.991 1725 1.228 1726 1.175 1727 1.164 1728 1.016 1729 1.06 1730 1.077 1731 1.157 1732 1.138 1733 1.102 1734 1.241 1735 1.115 1736 1.104 1737 0.946 1738 1.002 1739 1.056 1740 1.451 1741 1.203 1742 1.347 1743 1.302 1744 1.335 1745 1.446 1746 1.286 1747 1.096 1748 1.063 1749 0.946 1750 1.033 1751 1.198 1752 1.339 1753 1.408 1754 1.389 1755 1.178 1756 1.32 1757 1.247 1758 1.02 1759 1.175 1760 0.942 1761 0.969 1762 0.774 1763 0.756 1764 1.108 1765 1.023 1766 0.974 1767 0.81 1768 0.801 1769 1.079 1770 0.65 1771 0.622 1772 0.7 1773 0.785 1774 0.808 1775 1.1 1776 1.199 1777 1.317 1778 1.454 1779 1.011 1780 0.902 1781 0.853 1782 1.076 1783 1.039 1784 0.834 1785 0.806 1786 0.962 1787 0.994 1788 1.196 1789 1.362 1790 1.035 1791 0.825 1792 0.611 1793 0.717 1794 0.729 1795 0.792 1796 0.757 1797 0.945 1798 0.75 1799 0.609 1800 0.547 1801 0.966 1802 1.174 1803 1.484 1804 0.974 1805 1.224 1806 1.134 1807 1.383 1808 1.633 1809 1.634 1810 1.286 1811 1.338 1812 1.374 1813 1.417 1814 1.101 1815 1.809 1816 1.443 1817 1.352 1818 1.113 1819 0.665 1820 0.611 1821 0.703 1822 0.682 1823 1.096 1824 0.99 1825 1.173 1826 0.737 1827 0.875 1828 1.05 1829 0.73 1830 1.051 1831 1.127 1832 1.424 1833 1.216 1834 1.383 1835 1.02 1836 0.731 1837 0.451 1838 0.572 1839 0.208 1840 0.355 1841 0.367 1842 0.611 1843 0.659 1844 0.593 1845 0.733 1846 0.432 1847 0.647 1848 0.804 1849 0.919 1850 0.924 1851 1.084 1852 1.094 1853 1.18 1854 1.169 1855 0.622 1856 0.543 1857 0.835 1858 1.194 1859 0.972 1860 1.19 1861 1.11 1862 0.81 1863 0.899 1864 0.944 1865 0.601 1866 0.933 1867 1.052 1868 1.23 1869 0.806 1870 0.807 1871 0.884 1872 0.727 1873 0.643 1874 0.856 1875 1.189 1876 0.878 1877 0.482 1878 0.749 1879 0.896 1880 1.333 1881 1.018 1882 1.404 1883 1.071 1884 1.52 1885 1.421 1886 1.195 1887 0.981 1888 1.056 1889 1.049 1890 1.364 1891 1.175 1892 1.419 1893 1.197 1894 1.433 1895 0.905 1896 1.001 1897 1.251 1898 1.424 1899 0.78 1900 0.777 1901 0.649 1902 1.196 1903 1.216 1904 1.277 1905 1.4 1906 1.074 1907 0.994 1908 0.763 1909 0.913 1910 1.19 1911 0.901 1912 0.819 1913 1.071 1914 0.813 1915 1.198 1916 1.149 1917 1.028 1918 0.805 1919 0.941 1920 0.825 1921 0.993 1922 0.807 1923 0.775 1924 0.843 1925 1.262 1926 1.013 1927 0.992 1928 1.028 1929 0.733 1930 0.525 1931 0.419 1932 0.754 1933 0.726 1934 0.53 1935 0.724 1936 0.78 1937 0.67 1938 0.886 1939 0.875 1940 0.634 1941 0.913 1942 1.0 1943 0.906 1944 0.72 1945 0.713 1946 1.518 1947 1.358 1948 1.162 1949 1.213 1950 1.069 1951 1.292 1952 1.151 1953 0.992 1954 1.163 1955 1.078 1956 0.806 1957 0.925 1958 0.954 1959 0.74 1960 0.477 1961 0.837 1962 0.642 1963 0.923 1964 0.932 1965 0.746 1966 1.036 1967 1.061 1968 1.068 1969 0.888 1970 1.159 1971 1.347 1972 0.597 1973 0.85 1974 0.636 1975 0.603 1976 0.63 1977 0.697 1978 0.543 1979 0.606 1980 0.545 1981 0.639 1982 0.6 1983 0.853 1984 0.642