# northamerica_usa_or073 - Crater Lake East Low - 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/4116 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or073 - Crater Lake East Low - 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: Crater Lake East Low # Location: # Country: United States # Northernmost_Latitude: 42.83 # Southernmost_Latitude: 42.83 # Easternmost_Longitude: -122.0 # Westernmost_Longitude: -122.0 # Elevation: 1910 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or073B # Earliest_Year: 1756 # Most_Recent_Year: 1992 # 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":"5.61822016505","T2":"15.2469178143","M1":"0.022735539468","M2":"0.433272143632"}} #-------------------- # 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 1756 1.012 1757 0.712 1758 0.903 1759 0.874 1760 0.729 1761 0.955 1762 0.962 1763 0.936 1764 0.885 1765 1.06 1766 0.915 1767 1.205 1768 1.133 1769 0.997 1770 1.071 1771 1.06 1772 0.874 1773 0.966 1774 1.005 1775 1.018 1776 1.139 1777 0.988 1778 0.858 1779 0.908 1780 0.952 1781 0.819 1782 0.802 1783 0.916 1784 0.934 1785 0.802 1786 0.894 1787 0.735 1788 0.949 1789 0.922 1790 0.977 1791 1.221 1792 1.122 1793 1.088 1794 1.101 1795 0.911 1796 0.931 1797 1.04 1798 1.086 1799 1.047 1800 1.128 1801 0.844 1802 1.171 1803 1.158 1804 0.996 1805 1.088 1806 0.883 1807 1.14 1808 0.985 1809 1.171 1810 0.702 1811 1.048 1812 1.126 1813 1.028 1814 1.291 1815 1.064 1816 1.036 1817 0.974 1818 1.026 1819 0.727 1820 0.914 1821 1.017 1822 1.046 1823 0.834 1824 1.035 1825 1.1 1826 1.204 1827 0.964 1828 1.15 1829 1.127 1830 1.076 1831 0.971 1832 1.263 1833 1.151 1834 1.357 1835 1.101 1836 1.248 1837 1.48 1838 1.438 1839 1.272 1840 0.863 1841 1.208 1842 1.035 1843 1.172 1844 1.115 1845 1.234 1846 1.161 1847 0.979 1848 1.145 1849 0.92 1850 1.004 1851 1.214 1852 1.125 1853 1.117 1854 1.403 1855 0.987 1856 0.904 1857 1.181 1858 1.327 1859 1.049 1860 1.238 1861 1.128 1862 0.791 1863 1.579 1864 1.233 1865 0.961 1866 0.771 1867 1.044 1868 1.237 1869 1.031 1870 0.934 1871 0.746 1872 0.85 1873 1.217 1874 0.988 1875 1.012 1876 0.722 1877 1.212 1878 1.379 1879 1.468 1880 0.94 1881 1.452 1882 1.155 1883 1.082 1884 1.071 1885 1.369 1886 1.208 1887 0.998 1888 1.188 1889 1.091 1890 1.048 1891 1.219 1892 1.095 1893 1.072 1894 1.328 1895 1.415 1896 0.904 1897 1.209 1898 1.121 1899 0.863 1900 1.159 1901 1.266 1902 1.044 1903 0.995 1904 1.309 1905 1.235 1906 0.893 1907 1.088 1908 1.033 1909 0.842 1910 1.097 1911 0.945 1912 1.207 1913 1.435 1914 1.443 1915 1.224 1916 0.938 1917 0.954 1918 0.664 1919 0.936 1920 1.094 1921 1.082 1922 0.898 1923 0.898 1924 0.897 1925 0.786 1926 0.778 1927 0.754 1928 1.082 1929 0.922 1930 0.758 1931 0.93 1932 0.779 1933 0.677 1934 0.885 1935 0.818 1936 0.929 1937 0.682 1938 0.721 1939 1.055 1940 0.771 1941 0.77 1942 0.794 1943 0.9 1944 0.922 1945 0.795 1946 0.723 1947 0.959 1948 0.887 1949 0.922 1950 0.9 1951 0.984 1952 0.891 1953 0.754 1954 1.129 1955 1.096 1956 0.954 1957 0.887 1958 0.984 1959 0.866 1960 0.849 1961 0.761 1962 0.975 1963 1.183 1964 1.257 1965 1.083 1966 1.246 1967 0.897 1968 0.744 1969 0.99 1970 0.944 1971 0.823 1972 0.99 1973 1.074 1974 0.853 1975 0.978 1976 0.993 1977 0.799 1978 0.986 1979 1.172 1980 1.016 1981 0.781 1982 0.607 1983 0.731 1984 1.05 1985 0.745 1986 0.807 1987 0.814 1988 0.635 1989 0.726 1990 0.993 1991 0.714 1992 0.847