# northamerica_usa_or076 - Crater Lake West 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/4119 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or076 - Crater Lake West 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 West Low # Location: # Country: United States # Northernmost_Latitude: 43.0 # Southernmost_Latitude: 43.0 # Easternmost_Longitude: -122.33 # Westernmost_Longitude: -122.33 # Elevation: 1950 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or076B # Earliest_Year: 1747 # Most_Recent_Year: 1992 # 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":"4.68451091113","T2":"12.3989139353","M1":"0.0223065627214","M2":"0.353180786463"}} #-------------------- # 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 1747 1.18 1748 0.941 1749 0.778 1750 1.011 1751 1.026 1752 0.623 1753 0.652 1754 0.604 1755 1.038 1756 1.105 1757 0.902 1758 1.027 1759 0.852 1760 0.793 1761 0.953 1762 1.049 1763 0.858 1764 1.102 1765 1.151 1766 0.832 1767 1.038 1768 1.015 1769 0.976 1770 1.124 1771 1.11 1772 0.797 1773 1.076 1774 1.047 1775 0.968 1776 1.217 1777 1.139 1778 1.08 1779 1.059 1780 1.061 1781 0.892 1782 0.921 1783 0.941 1784 0.905 1785 0.533 1786 0.945 1787 0.788 1788 1.041 1789 0.884 1790 0.994 1791 1.407 1792 1.08 1793 0.99 1794 1.086 1795 0.85 1796 0.716 1797 0.88 1798 1.126 1799 1.028 1800 1.164 1801 0.391 1802 0.871 1803 1.065 1804 0.917 1805 0.967 1806 0.858 1807 0.948 1808 0.853 1809 0.786 1810 0.204 1811 0.822 1812 1.293 1813 0.865 1814 1.392 1815 1.172 1816 1.273 1817 1.234 1818 1.201 1819 0.869 1820 0.893 1821 1.264 1822 1.419 1823 1.003 1824 0.986 1825 1.236 1826 1.143 1827 1.062 1828 1.106 1829 1.014 1830 0.889 1831 0.794 1832 0.853 1833 1.101 1834 1.164 1835 0.992 1836 1.041 1837 1.357 1838 1.276 1839 1.246 1840 0.689 1841 1.022 1842 0.701 1843 1.189 1844 0.97 1845 0.948 1846 1.185 1847 0.641 1848 0.993 1849 0.76 1850 0.822 1851 1.016 1852 0.972 1853 0.814 1854 1.134 1855 0.979 1856 0.845 1857 0.925 1858 1.11 1859 0.852 1860 1.203 1861 0.934 1862 0.624 1863 1.492 1864 1.251 1865 1.018 1866 0.715 1867 1.099 1868 1.268 1869 1.144 1870 0.912 1871 0.723 1872 0.694 1873 1.002 1874 0.969 1875 1.18 1876 0.559 1877 1.074 1878 1.181 1879 1.252 1880 0.732 1881 1.328 1882 0.962 1883 0.981 1884 0.677 1885 1.016 1886 0.953 1887 0.928 1888 1.248 1889 1.137 1890 0.872 1891 1.045 1892 1.009 1893 0.925 1894 0.881 1895 1.144 1896 0.676 1897 1.058 1898 1.184 1899 0.497 1900 1.175 1901 1.26 1902 1.146 1903 1.237 1904 1.512 1905 1.47 1906 1.066 1907 1.131 1908 1.21 1909 1.062 1910 1.444 1911 1.007 1912 1.007 1913 1.412 1914 1.563 1915 1.073 1916 0.662 1917 0.93 1918 0.638 1919 0.865 1920 0.95 1921 0.913 1922 0.945 1923 0.858 1924 1.134 1925 0.903 1926 0.976 1927 0.724 1928 1.074 1929 0.879 1930 0.793 1931 1.049 1932 0.856 1933 0.68 1934 1.095 1935 0.972 1936 1.096 1937 0.64 1938 0.901 1939 1.406 1940 1.013 1941 0.908 1942 1.03 1943 0.935 1944 0.989 1945 1.011 1946 0.868 1947 1.177 1948 1.04 1949 1.112 1950 1.217 1951 1.449 1952 1.029 1953 0.782 1954 1.291 1955 1.32 1956 1.118 1957 1.18 1958 1.192 1959 0.906 1960 0.884 1961 0.788 1962 0.899 1963 1.263 1964 1.452 1965 1.322 1966 1.515 1967 0.963 1968 0.646 1969 0.918 1970 1.063 1971 0.757 1972 0.739 1973 1.008 1974 0.666 1975 0.818 1976 0.943 1977 1.03 1978 1.089 1979 1.054 1980 1.068 1981 0.918 1982 0.763 1983 0.764 1984 1.045 1985 0.878 1986 1.059 1987 0.978 1988 0.713 1989 0.522 1990 0.855 1991 0.367 1992 0.355