# northamerica_usa_mo024 - Democrat Ridge - 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/4836 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo024 - Democrat Ridge - 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: Democrat Ridge # Location: # Country: United States # Northernmost_Latitude: 37.67 # Southernmost_Latitude: 37.67 # Easternmost_Longitude: -92.0 # Westernmost_Longitude: -92.0 # Elevation: 350 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo024B # Earliest_Year: 1718 # 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":"4.85991985143","T2":"18.1185548973","M1":"0.0229078786775","M2":"0.540777246998"}} #-------------------- # Species # Species_Name: post oak # Species_Code: QUST #-------------------- # 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 1718 1.097 1719 1.04 1720 0.754 1721 0.97 1722 1.447 1723 1.099 1724 1.178 1725 1.309 1726 1.207 1727 1.212 1728 0.679 1729 1.547 1730 1.421 1731 1.243 1732 1.189 1733 1.501 1734 0.721 1735 1.077 1736 0.758 1737 0.861 1738 0.944 1739 0.726 1740 0.921 1741 0.555 1742 0.508 1743 0.796 1744 1.024 1745 1.157 1746 0.951 1747 1.528 1748 0.597 1749 0.697 1750 0.919 1751 0.893 1752 1.024 1753 0.811 1754 0.601 1755 0.538 1756 0.842 1757 0.91 1758 0.889 1759 1.043 1760 0.856 1761 1.087 1762 1.034 1763 0.837 1764 1.11 1765 1.105 1766 1.088 1767 0.593 1768 0.816 1769 0.902 1770 0.889 1771 0.646 1772 0.615 1773 0.748 1774 1.091 1775 1.068 1776 1.283 1777 0.738 1778 0.953 1779 1.343 1780 1.191 1781 1.843 1782 1.411 1783 1.223 1784 0.877 1785 0.903 1786 0.76 1787 0.605 1788 0.852 1789 0.728 1790 0.764 1791 0.624 1792 0.789 1793 0.876 1794 1.129 1795 0.715 1796 0.851 1797 0.753 1798 0.663 1799 0.58 1800 0.616 1801 0.56 1802 0.606 1803 0.71 1804 0.864 1805 1.087 1806 0.898 1807 0.941 1808 0.994 1809 1.409 1810 1.225 1811 1.918 1812 1.165 1813 1.221 1814 1.166 1815 1.064 1816 0.954 1817 0.92 1818 1.237 1819 1.479 1820 1.249 1821 1.379 1822 1.62 1823 1.1 1824 1.334 1825 0.78 1826 0.663 1827 0.964 1828 1.019 1829 0.733 1830 1.112 1831 1.103 1832 1.094 1833 1.227 1834 0.866 1835 0.924 1836 1.325 1837 1.425 1838 1.008 1839 0.916 1840 1.285 1841 0.893 1842 0.924 1843 1.021 1844 1.272 1845 1.115 1846 1.068 1847 1.099 1848 0.896 1849 1.541 1850 1.289 1851 1.016 1852 1.083 1853 0.86 1854 1.073 1855 0.951 1856 0.883 1857 0.852 1858 0.985 1859 0.933 1860 0.815 1861 0.816 1862 0.951 1863 1.099 1864 0.865 1865 0.985 1866 1.161 1867 0.858 1868 0.758 1869 0.844 1870 0.722 1871 0.755 1872 0.666 1873 0.833 1874 0.729 1875 0.761 1876 0.982 1877 0.953 1878 0.781 1879 0.703 1880 0.888 1881 0.664 1882 0.849 1883 0.972 1884 0.809 1885 0.831 1886 0.79 1887 0.741 1888 0.748 1889 1.016 1890 0.814 1891 0.748 1892 0.936 1893 0.748 1894 0.735 1895 0.671 1896 0.714 1897 0.855 1898 0.829 1899 0.674 1900 0.636 1901 0.534 1902 0.831 1903 1.345 1904 1.225 1905 0.899 1906 0.955 1907 0.966 1908 1.191 1909 1.392 1910 1.168 1911 0.791 1912 1.474 1913 0.853 1914 0.836 1915 1.275 1916 1.432 1917 1.075 1918 1.078 1919 1.202 1920 1.127 1921 1.432 1922 1.039 1923 1.17 1924 1.036 1925 0.741 1926 0.778 1927 0.905 1928 1.24 1929 1.042 1930 0.88 1931 0.914 1932 1.081 1933 0.926 1934 0.745 1935 1.114 1936 0.834 1937 0.812 1938 0.824 1939 0.909 1940 1.038 1941 0.84 1942 1.075 1943 1.108 1944 0.89 1945 1.341 1946 1.227 1947 1.113 1948 1.442 1949 1.388 1950 1.42 1951 1.553 1952 0.935 1953 0.908 1954 0.79 1955 1.12 1956 1.179 1957 0.94 1958 0.908 1959 1.016 1960 0.85 1961 1.057 1962 1.183 1963 0.916 1964 0.87 1965 1.022 1966 0.945 1967 1.043 1968 1.03 1969 1.173 1970 1.042 1971 0.959 1972 0.701 1973 0.966 1974 0.947 1975 1.04 1976 0.877 1977 0.783 1978 0.894 1979 0.817 1980 0.724 1981 0.838 1982 1.272 1983 1.09 1984 0.924 1985 1.026 1986 0.905 1987 0.88 1988 0.789 1989 0.834 1990 1.064 1991 0.858 1992 1.196