# northamerica_usa_ks001 - McClosky Ranch - 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/4896 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ks001 - McClosky Ranch - 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: McClosky Ranch # Location: # Country: United States # Northernmost_Latitude: 38.4 # Southernmost_Latitude: 38.4 # Easternmost_Longitude: -94.77 # Westernmost_Longitude: -94.77 # Elevation: 260 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ks001B # Earliest_Year: 1738 # Most_Recent_Year: 1982 # 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":"5.59028066156","T2":"18.1411622479","M1":"0.0224416149209","M2":"0.542998574516"}} #-------------------- # 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 1738 1.057 1739 0.962 1740 0.787 1741 0.826 1742 0.796 1743 0.868 1744 0.941 1745 1.301 1746 1.134 1747 1.336 1748 1.086 1749 1.153 1750 1.163 1751 1.286 1752 0.955 1753 0.818 1754 0.745 1755 0.713 1756 0.739 1757 0.741 1758 0.775 1759 0.939 1760 0.589 1761 1.022 1762 1.056 1763 0.887 1764 1.133 1765 1.133 1766 1.002 1767 0.836 1768 0.932 1769 0.804 1770 0.913 1771 0.947 1772 0.598 1773 0.676 1774 0.525 1775 0.832 1776 0.966 1777 0.873 1778 1.007 1779 0.769 1780 0.791 1781 1.078 1782 0.947 1783 0.961 1784 0.875 1785 0.769 1786 0.949 1787 0.907 1788 1.017 1789 0.855 1790 1.095 1791 0.708 1792 1.037 1793 1.255 1794 1.091 1795 1.257 1796 1.18 1797 1.334 1798 0.992 1799 0.973 1800 0.961 1801 1.021 1802 1.192 1803 1.097 1804 1.178 1805 0.832 1806 1.028 1807 1.049 1808 0.783 1809 0.9 1810 1.013 1811 1.082 1812 0.906 1813 0.886 1814 1.145 1815 0.703 1816 0.683 1817 0.603 1818 0.709 1819 0.767 1820 0.728 1821 0.843 1822 0.926 1823 0.873 1824 1.043 1825 1.049 1826 1.129 1827 0.996 1828 1.129 1829 0.702 1830 1.16 1831 0.868 1832 1.037 1833 0.911 1834 0.785 1835 0.745 1836 1.054 1837 1.122 1838 0.886 1839 0.857 1840 0.868 1841 0.811 1842 1.009 1843 0.91 1844 1.148 1845 1.037 1846 0.757 1847 1.034 1848 0.945 1849 0.887 1850 0.974 1851 0.986 1852 0.96 1853 0.878 1854 0.923 1855 0.73 1856 0.737 1857 0.704 1858 0.857 1859 1.14 1860 0.713 1861 0.728 1862 0.691 1863 0.989 1864 0.749 1865 0.949 1866 1.075 1867 1.121 1868 0.759 1869 0.963 1870 0.8 1871 0.994 1872 0.849 1873 0.807 1874 0.785 1875 0.831 1876 1.232 1877 1.263 1878 1.208 1879 0.957 1880 1.187 1881 1.091 1882 1.613 1883 1.589 1884 1.474 1885 1.598 1886 1.372 1887 1.099 1888 1.369 1889 1.658 1890 1.396 1891 1.628 1892 1.261 1893 1.027 1894 0.933 1895 1.05 1896 1.214 1897 0.994 1898 1.094 1899 1.061 1900 0.828 1901 0.736 1902 0.887 1903 1.151 1904 1.292 1905 1.003 1906 1.107 1907 1.042 1908 1.181 1909 1.3 1910 0.821 1911 0.763 1912 0.83 1913 0.689 1914 0.668 1915 1.017 1916 1.035 1917 0.849 1918 0.66 1919 0.955 1920 1.069 1921 1.113 1922 0.815 1923 0.784 1924 1.003 1925 0.792 1926 0.834 1927 0.967 1928 0.992 1929 0.969 1930 0.807 1931 0.718 1932 0.805 1933 0.769 1934 0.674 1935 0.823 1936 0.633 1937 0.658 1938 0.993 1939 0.735 1940 0.758 1941 0.966 1942 0.984 1943 0.926 1944 0.849 1945 1.023 1946 0.77 1947 0.973 1948 0.828 1949 1.018 1950 0.944 1951 1.169 1952 0.833 1953 0.762 1954 0.766 1955 1.188 1956 1.359 1957 1.123 1958 1.166 1959 0.991 1960 1.064 1961 0.929 1962 1.024 1963 0.859 1964 1.04 1965 1.079 1966 0.902 1967 1.126 1968 1.007 1969 1.23 1970 1.18 1971 1.272 1972 0.855 1973 1.144 1974 0.991 1975 1.256 1976 1.021 1977 0.975 1978 0.893 1979 1.006 1980 0.807 1981 0.814 1982 1.147