# northamerica_usa_ok007 - Keystone Lake - 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/4874 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ok007 - Keystone Lake - 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: Keystone Lake # Location: # Country: United States # Northernmost_Latitude: 36.2 # Southernmost_Latitude: 36.2 # Easternmost_Longitude: -96.22 # Westernmost_Longitude: -96.22 # Elevation: 275 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ok007B # Earliest_Year: 1746 # Most_Recent_Year: 1995 # 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":"4.60310233576","T2":"16.4795464714","M1":"0.0227304327464","M2":"0.537308998264"}} #-------------------- # 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 1746 1.206 1747 1.125 1748 0.983 1749 0.894 1750 1.032 1751 1.013 1752 1.043 1753 0.902 1754 0.795 1755 0.871 1756 0.88 1757 0.833 1758 1.138 1759 1.036 1760 1.287 1761 1.417 1762 1.089 1763 0.681 1764 1.303 1765 1.188 1766 1.088 1767 0.813 1768 0.6 1769 0.644 1770 0.911 1771 0.843 1772 0.665 1773 0.652 1774 0.709 1775 0.959 1776 1.183 1777 1.382 1778 1.119 1779 0.974 1780 0.911 1781 1.194 1782 1.218 1783 1.192 1784 0.946 1785 0.785 1786 0.704 1787 0.642 1788 0.748 1789 0.784 1790 0.659 1791 0.543 1792 0.799 1793 0.809 1794 0.779 1795 0.764 1796 1.099 1797 0.905 1798 0.88 1799 1.074 1800 0.848 1801 0.574 1802 0.881 1803 0.921 1804 0.859 1805 0.977 1806 0.837 1807 0.913 1808 0.507 1809 0.641 1810 0.806 1811 1.056 1812 0.757 1813 1.036 1814 1.141 1815 1.361 1816 0.999 1817 1.18 1818 1.092 1819 1.514 1820 1.131 1821 1.331 1822 1.211 1823 1.307 1824 0.827 1825 1.382 1826 2.064 1827 1.332 1828 1.556 1829 1.197 1830 1.381 1831 0.799 1832 0.637 1833 0.695 1834 0.754 1835 0.938 1836 1.412 1837 1.166 1838 1.104 1839 0.972 1840 1.12 1841 0.944 1842 1.19 1843 1.143 1844 1.3 1845 1.019 1846 1.128 1847 1.095 1848 1.15 1849 1.246 1850 1.062 1851 0.851 1852 1.071 1853 1.072 1854 1.028 1855 0.706 1856 0.904 1857 0.897 1858 1.055 1859 0.876 1860 0.743 1861 1.109 1862 0.753 1863 0.749 1864 0.74 1865 0.913 1866 1.175 1867 1.079 1868 0.93 1869 1.196 1870 1.082 1871 1.152 1872 1.042 1873 1.258 1874 0.985 1875 1.063 1876 1.161 1877 1.275 1878 1.201 1879 0.91 1880 0.891 1881 1.079 1882 1.098 1883 1.076 1884 1.086 1885 1.098 1886 0.867 1887 0.888 1888 0.939 1889 0.835 1890 0.918 1891 1.196 1892 1.177 1893 1.105 1894 1.04 1895 0.7 1896 0.874 1897 0.86 1898 0.956 1899 1.125 1900 0.91 1901 0.918 1902 1.028 1903 0.813 1904 0.703 1905 0.729 1906 0.781 1907 0.921 1908 1.021 1909 1.101 1910 0.806 1911 0.49 1912 0.783 1913 0.831 1914 0.784 1915 1.385 1916 1.113 1917 0.903 1918 0.751 1919 1.101 1920 1.174 1921 1.183 1922 1.26 1923 1.178 1924 0.911 1925 0.802 1926 1.034 1927 1.051 1928 1.09 1929 1.186 1930 1.003 1931 1.125 1932 0.967 1933 1.111 1934 0.935 1935 1.222 1936 0.799 1937 0.963 1938 1.013 1939 0.889 1940 0.679 1941 0.963 1942 0.978 1943 0.991 1944 1.008 1945 1.008 1946 1.087 1947 0.903 1948 0.855 1949 1.328 1950 1.182 1951 1.277 1952 1.087 1953 0.8 1954 1.001 1955 0.804 1956 0.753 1957 1.011 1958 1.16 1959 1.112 1960 1.318 1961 1.009 1962 1.17 1963 0.955 1964 0.929 1965 0.785 1966 0.748 1967 0.955 1968 0.945 1969 1.002 1970 1.029 1971 0.887 1972 0.933 1973 1.213 1974 1.156 1975 1.464 1976 1.003 1977 0.827 1978 0.822 1979 0.818 1980 0.835 1981 0.639 1982 0.858 1983 0.822 1984 0.737 1985 0.974 1986 0.941 1987 1.113 1988 0.836 1989 1.115 1990 0.978 1991 0.932 1992 1.086 1993 1.275 1994 0.965 1995 1.171