# northamerica_usa_or072 - Sheridan Mountain High - 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/4192 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or072 - Sheridan Mountain High - 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: Sheridan Mountain High # Location: # Country: United States # Northernmost_Latitude: 43.83 # Southernmost_Latitude: 43.83 # Easternmost_Longitude: -121.67 # Westernmost_Longitude: -121.67 # Elevation: 2090 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or072B # Earliest_Year: 1667 # Most_Recent_Year: 1993 # 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":"4.08516130612","T2":"13.867608402","M1":"0.0225343569158","M2":"0.237355582847"}} #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # 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 1667 1.103 1668 0.853 1669 0.928 1670 0.963 1671 1.15 1672 0.563 1673 0.869 1674 0.73 1675 0.786 1676 0.776 1677 0.918 1678 1.054 1679 0.986 1680 1.009 1681 1.044 1682 1.11 1683 1.157 1684 0.812 1685 0.978 1686 1.237 1687 1.124 1688 1.081 1689 1.165 1690 0.951 1691 0.748 1692 1.295 1693 1.128 1694 1.167 1695 1.065 1696 0.48 1697 0.453 1698 0.785 1699 0.718 1700 0.566 1701 0.463 1702 0.636 1703 0.576 1704 0.694 1705 0.764 1706 0.619 1707 0.281 1708 0.56 1709 0.446 1710 0.808 1711 0.75 1712 0.997 1713 0.813 1714 0.697 1715 0.45 1716 0.822 1717 0.828 1718 0.921 1719 1.007 1720 0.903 1721 0.953 1722 0.891 1723 0.849 1724 0.954 1725 0.772 1726 1.101 1727 1.197 1728 1.06 1729 1.017 1730 0.831 1731 1.042 1732 1.112 1733 1.398 1734 1.218 1735 1.311 1736 1.165 1737 1.034 1738 0.892 1739 1.08 1740 1.115 1741 1.338 1742 0.68 1743 1.342 1744 1.25 1745 1.332 1746 1.166 1747 1.108 1748 1.107 1749 1.013 1750 1.165 1751 1.041 1752 0.565 1753 0.535 1754 0.731 1755 0.956 1756 1.359 1757 1.036 1758 1.063 1759 0.962 1760 0.842 1761 0.768 1762 0.871 1763 0.903 1764 0.994 1765 0.964 1766 0.89 1767 1.001 1768 1.085 1769 1.307 1770 1.178 1771 1.27 1772 1.019 1773 1.105 1774 1.182 1775 0.999 1776 1.277 1777 1.396 1778 1.408 1779 1.459 1780 1.296 1781 1.168 1782 1.198 1783 1.215 1784 0.967 1785 0.954 1786 1.096 1787 0.969 1788 1.435 1789 1.254 1790 1.242 1791 1.544 1792 1.51 1793 1.372 1794 1.469 1795 1.079 1796 1.125 1797 1.208 1798 1.382 1799 1.204 1800 1.261 1801 0.725 1802 0.628 1803 0.944 1804 0.967 1805 1.155 1806 0.932 1807 1.114 1808 0.944 1809 1.026 1810 0.584 1811 0.964 1812 1.21 1813 0.931 1814 1.13 1815 1.04 1816 1.051 1817 1.085 1818 0.997 1819 0.671 1820 0.633 1821 0.76 1822 0.952 1823 1.061 1824 0.884 1825 1.124 1826 1.031 1827 0.806 1828 0.992 1829 1.156 1830 1.099 1831 1.068 1832 0.991 1833 1.183 1834 1.4 1835 1.052 1836 0.91 1837 1.294 1838 1.012 1839 1.538 1840 0.669 1841 0.912 1842 1.021 1843 1.12 1844 1.158 1845 1.012 1846 1.222 1847 0.549 1848 1.091 1849 0.828 1850 0.95 1851 1.15 1852 1.198 1853 1.121 1854 1.302 1855 1.285 1856 0.926 1857 0.955 1858 1.123 1859 0.888 1860 0.846 1861 0.804 1862 0.695 1863 1.303 1864 1.01 1865 1.084 1866 0.639 1867 0.865 1868 1.028 1869 1.076 1870 0.923 1871 0.802 1872 0.893 1873 0.999 1874 1.124 1875 1.239 1876 0.901 1877 1.36 1878 1.226 1879 1.34 1880 0.887 1881 1.088 1882 0.863 1883 0.945 1884 0.702 1885 1.121 1886 1.021 1887 0.788 1888 1.087 1889 1.04 1890 1.032 1891 0.982 1892 0.912 1893 0.783 1894 0.843 1895 1.146 1896 0.733 1897 0.925 1898 1.089 1899 0.715 1900 1.091 1901 0.982 1902 0.998 1903 0.876 1904 1.173 1905 1.138 1906 0.84 1907 0.99 1908 0.963 1909 1.002 1910 1.358 1911 1.018 1912 0.961 1913 1.083 1914 1.317 1915 1.156 1916 0.639 1917 0.9 1918 0.715 1919 0.815 1920 0.764 1921 0.643 1922 0.808 1923 0.826 1924 0.958 1925 0.753 1926 0.994 1927 0.775 1928 0.902 1929 0.697 1930 0.802 1931 0.936 1932 0.754 1933 0.802 1934 1.474 1935 1.189 1936 1.147 1937 0.846 1938 1.125 1939 1.307 1940 1.015 1941 1.083 1942 0.979 1943 0.947 1944 1.053 1945 1.154 1946 0.973 1947 1.023 1948 1.017 1949 1.053 1950 0.867 1951 1.05 1952 0.932 1953 0.559 1954 0.941 1955 1.09 1956 0.882 1957 1.069 1958 0.98 1959 1.035 1960 1.142 1961 0.791 1962 0.913 1963 1.238 1964 1.131 1965 1.1 1966 1.507 1967 1.037 1968 0.831 1969 1.215 1970 0.884 1971 0.568 1972 0.601 1973 1.034 1974 0.783 1975 0.84 1976 0.898 1977 1.267 1978 1.197 1979 0.988 1980 0.951 1981 0.861 1982 0.688 1983 0.749 1984 0.81 1985 0.813 1986 0.94 1987 1.011 1988 0.817 1989 0.905 1990 1.246 1991 1.052 1992 1.247 1993 0.956