# northamerica_usa_wa105 - Mount Adams Medium - 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/4156 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa105 - Mount Adams Medium - 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: Mount Adams Medium # Location: # Country: United States # Northernmost_Latitude: 46.17 # Southernmost_Latitude: 46.17 # Easternmost_Longitude: -121.5 # Westernmost_Longitude: -121.5 # Elevation: 1735 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa105B # Earliest_Year: 1752 # 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":"4.92626375646","T2":"20.5627139602","M1":"0.0222101491769","M2":"0.307336858596"}} #-------------------- # 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 1752 0.497 1753 0.603 1754 0.547 1755 0.747 1756 1.187 1757 1.059 1758 1.03 1759 0.906 1760 0.722 1761 0.752 1762 0.862 1763 0.879 1764 0.994 1765 0.917 1766 0.778 1767 0.786 1768 0.581 1769 0.688 1770 0.965 1771 0.952 1772 1.067 1773 0.897 1774 1.11 1775 0.542 1776 1.232 1777 1.221 1778 1.21 1779 1.236 1780 1.077 1781 0.904 1782 1.096 1783 1.266 1784 1.146 1785 1.159 1786 1.212 1787 1.031 1788 1.458 1789 1.34 1790 1.132 1791 1.588 1792 1.407 1793 1.329 1794 1.37 1795 1.052 1796 1.177 1797 0.852 1798 1.377 1799 1.17 1800 1.221 1801 0.946 1802 1.171 1803 1.012 1804 1.199 1805 1.197 1806 0.725 1807 0.788 1808 0.621 1809 0.998 1810 0.306 1811 0.78 1812 0.929 1813 0.803 1814 1.122 1815 0.906 1816 1.12 1817 1.026 1818 1.002 1819 0.842 1820 0.646 1821 0.858 1822 1.017 1823 0.94 1824 0.917 1825 1.061 1826 1.004 1827 0.918 1828 1.012 1829 1.417 1830 1.086 1831 1.043 1832 0.982 1833 1.243 1834 1.352 1835 1.02 1836 0.954 1837 1.127 1838 0.943 1839 1.336 1840 0.843 1841 0.908 1842 1.034 1843 1.262 1844 0.941 1845 1.211 1846 1.437 1847 1.001 1848 1.345 1849 0.828 1850 0.911 1851 1.31 1852 0.953 1853 0.972 1854 1.017 1855 1.061 1856 0.772 1857 0.958 1858 1.12 1859 0.815 1860 0.9 1861 0.939 1862 0.78 1863 1.211 1864 0.835 1865 1.004 1866 0.628 1867 0.749 1868 0.894 1869 0.938 1870 0.845 1871 0.855 1872 0.963 1873 0.97 1874 1.057 1875 1.082 1876 0.705 1877 1.086 1878 1.011 1879 1.066 1880 0.384 1881 0.991 1882 0.788 1883 0.932 1884 0.802 1885 1.16 1886 1.102 1887 0.862 1888 1.142 1889 1.231 1890 1.087 1891 1.162 1892 0.982 1893 0.956 1894 0.655 1895 1.188 1896 0.753 1897 0.991 1898 1.139 1899 0.46 1900 0.992 1901 1.098 1902 0.849 1903 0.782 1904 1.047 1905 1.001 1906 0.763 1907 0.96 1908 1.082 1909 0.834 1910 1.211 1911 1.205 1912 1.009 1913 0.919 1914 1.174 1915 0.849 1916 0.219 1917 0.816 1918 0.849 1919 0.849 1920 1.03 1921 0.656 1922 0.844 1923 0.788 1924 1.033 1925 1.081 1926 0.971 1927 0.73 1928 0.904 1929 1.0 1930 0.992 1931 0.87 1932 0.705 1933 0.649 1934 0.902 1935 1.189 1936 1.039 1937 0.866 1938 1.08 1939 1.403 1940 1.187 1941 1.188 1942 0.945 1943 0.815 1944 1.034 1945 1.161 1946 0.825 1947 0.937 1948 0.833 1949 0.867 1950 1.002 1951 1.367 1952 1.304 1953 0.877 1954 0.645 1955 0.776 1956 0.772 1957 1.151 1958 1.531 1959 1.206 1960 1.259 1961 1.31 1962 1.205 1963 1.264 1964 1.208 1965 1.493 1966 1.498 1967 1.284 1968 0.915 1969 0.912 1970 1.154 1971 0.875 1972 0.933 1973 1.154 1974 0.636 1975 0.944 1976 0.839 1977 1.225 1978 1.059 1979 1.011 1980 0.999 1981 1.001 1982 0.788 1983 0.877 1984 1.052 1985 1.034 1986 0.934 1987 1.31 1988 1.311 1989 0.836 1990 1.162 1991 0.508 1992 0.718 1993 0.331