# northamerica_usa_mi010 - Silver River - 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/3028 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mi010 - Silver River - 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: Silver River # Location: # Country: United States # Northernmost_Latitude: 46.7 # Southernmost_Latitude: 46.7 # Easternmost_Longitude: -88.75 # Westernmost_Longitude: -88.75 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mi010B # Earliest_Year: 1677 # Most_Recent_Year: 1983 # 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":"2.81401580328","T2":"13.4383485052","M1":"0.022811723298","M2":"0.596765582585"}} #-------------------- # 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 1677 0.809 1678 1.047 1679 0.955 1680 0.959 1681 0.707 1682 0.826 1683 0.887 1684 0.958 1685 0.948 1686 1.078 1687 1.177 1688 1.056 1689 0.759 1690 1.02 1691 0.643 1692 1.211 1693 1.383 1694 1.731 1695 1.341 1696 1.154 1697 0.997 1698 1.14 1699 1.156 1700 0.892 1701 0.631 1702 1.065 1703 1.449 1704 1.475 1705 1.53 1706 1.535 1707 1.112 1708 0.869 1709 0.992 1710 0.847 1711 0.918 1712 1.125 1713 0.985 1714 0.928 1715 0.874 1716 0.838 1717 1.179 1718 1.07 1719 1.304 1720 1.078 1721 1.413 1722 0.861 1723 1.006 1724 1.096 1725 1.037 1726 0.928 1727 0.977 1728 0.767 1729 0.934 1730 0.95 1731 0.979 1732 0.654 1733 0.996 1734 1.124 1735 0.715 1736 0.524 1737 0.771 1738 1.185 1739 1.022 1740 1.514 1741 0.302 1742 0.501 1743 0.438 1744 0.491 1745 0.811 1746 1.047 1747 1.213 1748 1.143 1749 1.375 1750 1.971 1751 1.182 1752 1.039 1753 0.776 1754 1.13 1755 0.951 1756 1.563 1757 0.472 1758 0.8 1759 1.335 1760 0.912 1761 0.861 1762 1.108 1763 0.959 1764 1.163 1765 1.157 1766 1.337 1767 1.119 1768 1.147 1769 1.431 1770 0.92 1771 0.782 1772 0.54 1773 0.778 1774 0.691 1775 0.759 1776 0.712 1777 0.93 1778 0.977 1779 1.053 1780 0.909 1781 0.702 1782 1.039 1783 1.107 1784 1.119 1785 1.275 1786 1.263 1787 1.261 1788 1.388 1789 1.216 1790 0.795 1791 0.837 1792 0.75 1793 0.972 1794 0.964 1795 1.114 1796 1.22 1797 1.215 1798 1.021 1799 0.813 1800 1.125 1801 0.807 1802 1.039 1803 1.063 1804 0.905 1805 1.243 1806 0.826 1807 1.165 1808 1.168 1809 0.544 1810 0.878 1811 0.749 1812 0.889 1813 0.921 1814 0.748 1815 0.966 1816 0.761 1817 1.072 1818 0.943 1819 0.916 1820 0.783 1821 0.651 1822 0.526 1823 0.904 1824 1.156 1825 1.019 1826 0.519 1827 0.783 1828 0.801 1829 0.89 1830 1.258 1831 0.997 1832 1.04 1833 1.145 1834 0.839 1835 0.98 1836 1.07 1837 1.034 1838 1.046 1839 0.848 1840 0.922 1841 0.678 1842 0.82 1843 0.672 1844 0.701 1845 0.831 1846 0.778 1847 0.699 1848 0.958 1849 0.852 1850 0.794 1851 0.991 1852 0.778 1853 0.745 1854 0.838 1855 0.566 1856 0.862 1857 0.747 1858 1.019 1859 1.074 1860 0.971 1861 1.075 1862 0.882 1863 0.725 1864 0.789 1865 0.735 1866 0.874 1867 1.107 1868 0.966 1869 0.862 1870 0.155 1871 0.574 1872 0.842 1873 0.693 1874 0.8 1875 0.383 1876 0.853 1877 0.893 1878 1.562 1879 1.091 1880 0.896 1881 0.731 1882 1.048 1883 0.925 1884 1.023 1885 1.044 1886 1.055 1887 0.43 1888 0.44 1889 0.963 1890 0.814 1891 1.043 1892 0.836 1893 0.532 1894 0.772 1895 0.63 1896 0.738 1897 1.046 1898 1.257 1899 1.265 1900 1.421 1901 1.312 1902 1.916 1903 1.935 1904 0.87 1905 1.07 1906 0.944 1907 0.584 1908 0.97 1909 0.913 1910 1.068 1911 0.634 1912 1.064 1913 1.453 1914 1.533 1915 1.49 1916 1.715 1917 0.862 1918 0.769 1919 1.131 1920 0.83 1921 1.078 1922 0.617 1923 0.971 1924 1.041 1925 1.166 1926 0.782 1927 0.877 1928 1.179 1929 1.572 1930 1.381 1931 1.134 1932 0.707 1933 0.801 1934 0.724 1935 1.111 1936 0.813 1937 0.636 1938 1.174 1939 1.137 1940 1.032 1941 0.916 1942 0.886 1943 1.238 1944 0.983 1945 1.468 1946 1.809 1947 1.215 1948 0.67 1949 0.884 1950 0.891 1951 1.283 1952 1.374 1953 1.587 1954 1.493 1955 1.262 1956 0.745 1957 0.986 1958 0.826 1959 1.109 1960 0.719 1961 1.373 1962 0.856 1963 1.192 1964 0.76 1965 0.788 1966 0.951 1967 0.637 1968 0.976 1969 0.692 1970 0.8 1971 0.647 1972 0.783 1973 0.955 1974 0.752 1975 0.951 1976 0.835 1977 0.472 1978 0.854 1979 0.792 1980 1.081 1981 1.176 1982 0.986 1983 1.078