# northamerica_usa_nh003 - Nancy Brook Recollection - 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/3006 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nh003 - Nancy Brook Recollection - 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: Nancy Brook Recollection # Location: # Country: United States # Northernmost_Latitude: 44.1 # Southernmost_Latitude: 44.1 # Easternmost_Longitude: -71.38 # Westernmost_Longitude: -71.38 # Elevation: 750 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nh003B # Earliest_Year: 1673 # Most_Recent_Year: 1979 # 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":"4.19554508703","T2":"14.733035595","M1":"0.0224557659559","M2":"0.472496368268"}} #-------------------- # Species # Species_Name: red spruce # Species_Code: PCRU #-------------------- # 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 1673 0.761 1674 0.899 1675 0.729 1676 0.807 1677 0.7 1678 0.803 1679 0.689 1680 0.81 1681 0.714 1682 0.619 1683 0.677 1684 0.645 1685 0.727 1686 0.856 1687 0.47 1688 0.416 1689 0.651 1690 0.685 1691 0.639 1692 0.715 1693 0.702 1694 0.766 1695 0.664 1696 0.77 1697 0.693 1698 0.822 1699 0.973 1700 0.887 1701 0.853 1702 0.942 1703 0.929 1704 0.871 1705 0.919 1706 1.029 1707 1.07 1708 0.924 1709 0.709 1710 0.533 1711 0.585 1712 0.917 1713 0.657 1714 0.702 1715 0.743 1716 0.674 1717 0.634 1718 0.644 1719 0.762 1720 0.517 1721 0.73 1722 0.766 1723 0.765 1724 0.753 1725 0.949 1726 0.872 1727 0.875 1728 0.523 1729 0.855 1730 0.726 1731 0.821 1732 0.951 1733 0.841 1734 1.049 1735 0.904 1736 0.979 1737 0.827 1738 0.882 1739 0.873 1740 0.739 1741 0.68 1742 0.846 1743 0.828 1744 0.883 1745 1.083 1746 1.257 1747 1.197 1748 1.017 1749 1.081 1750 1.055 1751 0.884 1752 1.132 1753 1.243 1754 1.419 1755 1.12 1756 1.007 1757 0.95 1758 0.888 1759 1.028 1760 1.0 1761 1.134 1762 1.14 1763 1.06 1764 1.077 1765 1.003 1766 1.185 1767 1.077 1768 0.978 1769 1.169 1770 1.091 1771 1.431 1772 1.187 1773 1.098 1774 1.006 1775 1.271 1776 0.95 1777 1.246 1778 1.124 1779 1.077 1780 1.204 1781 0.94 1782 0.936 1783 0.917 1784 1.122 1785 1.175 1786 1.298 1787 1.295 1788 1.254 1789 1.261 1790 1.159 1791 1.334 1792 1.165 1793 1.445 1794 0.988 1795 0.815 1796 0.856 1797 1.144 1798 1.069 1799 1.216 1800 1.15 1801 1.11 1802 1.012 1803 1.073 1804 1.065 1805 1.042 1806 0.91 1807 1.386 1808 1.052 1809 0.765 1810 0.737 1811 0.576 1812 0.818 1813 1.092 1814 1.285 1815 1.769 1816 1.37 1817 1.671 1818 1.296 1819 1.479 1820 1.007 1821 0.932 1822 1.196 1823 1.185 1824 1.035 1825 1.325 1826 1.246 1827 1.208 1828 1.216 1829 1.241 1830 1.434 1831 1.198 1832 1.108 1833 1.208 1834 1.385 1835 1.185 1836 1.169 1837 0.959 1838 1.005 1839 0.833 1840 1.056 1841 0.962 1842 1.168 1843 1.212 1844 0.85 1845 1.052 1846 0.721 1847 0.735 1848 0.959 1849 0.832 1850 0.973 1851 1.067 1852 1.06 1853 1.135 1854 1.18 1855 1.107 1856 1.148 1857 1.084 1858 1.08 1859 1.221 1860 1.257 1861 1.515 1862 1.085 1863 0.95 1864 1.013 1865 0.959 1866 0.892 1867 1.049 1868 0.83 1869 0.72 1870 0.965 1871 0.743 1872 0.641 1873 0.605 1874 0.651 1875 0.787 1876 0.831 1877 0.893 1878 0.923 1879 1.157 1880 1.147 1881 0.979 1882 0.911 1883 1.076 1884 1.021 1885 1.178 1886 1.223 1887 1.097 1888 1.034 1889 1.129 1890 1.18 1891 1.273 1892 1.473 1893 1.432 1894 1.384 1895 0.971 1896 1.254 1897 1.077 1898 1.014 1899 0.958 1900 1.195 1901 0.949 1902 0.896 1903 1.121 1904 1.258 1905 1.098 1906 1.315 1907 1.067 1908 1.139 1909 0.906 1910 1.013 1911 0.983 1912 0.978 1913 1.013 1914 1.03 1915 0.981 1916 1.122 1917 0.853 1918 0.701 1919 0.877 1920 1.009 1921 0.961 1922 0.914 1923 0.861 1924 1.127 1925 0.922 1926 0.986 1927 0.946 1928 0.966 1929 0.904 1930 1.036 1931 1.292 1932 1.197 1933 1.037 1934 0.963 1935 0.863 1936 0.774 1937 0.832 1938 0.791 1939 0.899 1940 0.812 1941 0.934 1942 0.803 1943 0.829 1944 0.905 1945 0.794 1946 0.862 1947 0.807 1948 0.513 1949 0.877 1950 0.751 1951 0.766 1952 0.882 1953 0.816 1954 0.85 1955 0.96 1956 0.568 1957 0.798 1958 0.928 1959 0.646 1960 0.61 1961 0.795 1962 0.667 1963 0.797 1964 0.727 1965 0.676 1966 0.526 1967 0.734 1968 0.531 1969 0.668 1970 0.702 1971 0.798 1972 0.753 1973 0.609 1974 0.68 1975 0.869 1976 0.802 1977 0.816 1978 0.792 1979 0.636