# northamerica_usa_ok022 - Lake Arbuckle - 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/4875 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ok022 - Lake Arbuckle - 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: Lake Arbuckle # Location: # Country: United States # Northernmost_Latitude: 32.42 # Southernmost_Latitude: 32.42 # Easternmost_Longitude: -96.98 # Westernmost_Longitude: -96.98 # Elevation: 280 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ok022B # Earliest_Year: 1720 # 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":"4.39646968692","T2":"16.683365792","M1":"0.022985774603","M2":"0.516535885101"}} #-------------------- # 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 1720 1.052 1721 1.149 1722 0.738 1723 0.914 1724 0.65 1725 0.826 1726 0.519 1727 0.806 1728 0.597 1729 0.947 1730 0.726 1731 0.963 1732 1.254 1733 1.116 1734 1.34 1735 1.374 1736 0.606 1737 0.531 1738 0.705 1739 0.724 1740 0.862 1741 1.024 1742 0.597 1743 0.539 1744 0.579 1745 1.098 1746 1.393 1747 1.329 1748 1.394 1749 1.434 1750 1.424 1751 1.641 1752 0.939 1753 1.08 1754 1.197 1755 0.702 1756 0.912 1757 0.931 1758 1.193 1759 0.732 1760 1.242 1761 1.138 1762 1.114 1763 1.291 1764 1.289 1765 0.957 1766 1.052 1767 0.709 1768 0.608 1769 0.7 1770 0.667 1771 0.871 1772 0.401 1773 0.631 1774 0.988 1775 1.047 1776 0.893 1777 0.935 1778 0.862 1779 0.803 1780 0.991 1781 1.22 1782 1.232 1783 1.181 1784 0.938 1785 0.834 1786 0.464 1787 0.867 1788 1.182 1789 0.952 1790 1.109 1791 0.931 1792 0.913 1793 1.02 1794 0.77 1795 1.084 1796 1.261 1797 0.982 1798 0.877 1799 1.398 1800 0.896 1801 0.617 1802 0.725 1803 0.955 1804 1.067 1805 0.685 1806 0.816 1807 1.053 1808 0.763 1809 1.074 1810 1.172 1811 1.291 1812 0.99 1813 0.939 1814 1.18 1815 1.239 1816 0.975 1817 1.536 1818 1.092 1819 1.142 1820 0.938 1821 0.951 1822 0.784 1823 0.93 1824 0.646 1825 0.82 1826 1.488 1827 1.151 1828 1.068 1829 0.891 1830 0.915 1831 0.811 1832 0.847 1833 1.105 1834 1.172 1835 1.045 1836 1.731 1837 1.233 1838 0.924 1839 0.801 1840 1.154 1841 0.992 1842 0.652 1843 1.296 1844 1.276 1845 0.879 1846 0.985 1847 0.923 1848 0.956 1849 1.135 1850 1.105 1851 0.977 1852 1.031 1853 0.952 1854 1.016 1855 0.494 1856 0.795 1857 0.915 1858 1.085 1859 0.702 1860 0.782 1861 0.733 1862 0.733 1863 0.611 1864 0.545 1865 0.719 1866 0.791 1867 1.009 1868 1.015 1869 1.102 1870 1.118 1871 1.031 1872 0.938 1873 1.097 1874 0.824 1875 0.883 1876 1.042 1877 0.851 1878 0.848 1879 0.634 1880 0.616 1881 0.897 1882 0.804 1883 0.806 1884 0.826 1885 0.877 1886 0.593 1887 0.487 1888 0.956 1889 0.733 1890 0.913 1891 1.021 1892 1.031 1893 0.827 1894 0.865 1895 0.575 1896 0.742 1897 1.056 1898 1.096 1899 1.129 1900 0.985 1901 0.866 1902 0.967 1903 1.309 1904 0.943 1905 0.877 1906 1.197 1907 2.238 1908 2.283 1909 1.405 1910 1.031 1911 0.665 1912 1.132 1913 0.897 1914 1.186 1915 1.433 1916 1.34 1917 0.969 1918 0.593 1919 1.176 1920 1.288 1921 1.316 1922 0.953 1923 0.892 1924 1.135 1925 0.497 1926 0.853 1927 0.902 1928 1.219 1929 1.146 1930 0.881 1931 0.981 1932 1.023 1933 1.035 1934 0.876 1935 1.239 1936 0.903 1937 1.08 1938 0.981 1939 0.713 1940 0.942 1941 1.201 1942 1.456 1943 1.166 1944 1.194 1945 1.237 1946 1.231 1947 1.168 1948 0.94 1949 0.957 1950 0.998 1951 1.012 1952 0.798 1953 0.631 1954 0.903 1955 0.921 1956 0.585 1957 0.868 1958 1.093 1959 0.7 1960 1.036 1961 0.843 1962 0.898 1963 0.787 1964 0.763 1965 1.068 1966 0.605 1967 1.008 1968 1.13 1969 1.067 1970 0.999 1971 0.832 1972 0.766 1973 1.129 1974 0.982 1975 1.202 1976 0.949 1977 0.906 1978 0.816 1979 0.925 1980 0.683 1981 0.801 1982 1.089 1983 1.076 1984 0.839 1985 1.147 1986 0.857 1987 1.085 1988 0.884 1989 1.041 1990 1.019 1991 0.948 1992 1.225 1993 1.181 1994 1.041 1995 1.24