# northamerica_usa_ok031 - McCurtain County - 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/4897 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ok031 - McCurtain County - 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: McCurtain County # Location: # Country: United States # Northernmost_Latitude: 34.3 # Southernmost_Latitude: 34.3 # Easternmost_Longitude: -94.65 # Westernmost_Longitude: -94.65 # Elevation: 260 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ok031B # Earliest_Year: 1743 # Most_Recent_Year: 1982 # 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":"4.22978544896","T2":"18.1310313102","M1":"0.0231484027336","M2":"0.528444363926"}} #-------------------- # Species # Species_Name: shortleaf pine # Species_Code: PIEC #-------------------- # 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 1743 0.928 1744 1.063 1745 0.993 1746 0.865 1747 0.954 1748 1.065 1749 0.927 1750 0.877 1751 0.994 1752 0.892 1753 0.766 1754 0.781 1755 0.892 1756 0.762 1757 0.931 1758 0.85 1759 0.994 1760 0.855 1761 1.087 1762 0.693 1763 0.79 1764 0.945 1765 0.985 1766 0.934 1767 0.582 1768 0.937 1769 0.803 1770 1.132 1771 1.085 1772 0.59 1773 0.842 1774 0.798 1775 0.939 1776 1.202 1777 1.272 1778 1.326 1779 1.377 1780 0.811 1781 1.025 1782 0.855 1783 1.332 1784 0.95 1785 0.94 1786 0.419 1787 0.893 1788 0.473 1789 0.564 1790 0.73 1791 1.075 1792 1.0 1793 0.963 1794 1.025 1795 1.093 1796 0.953 1797 1.103 1798 1.317 1799 0.852 1800 0.939 1801 0.739 1802 0.955 1803 0.847 1804 1.651 1805 1.261 1806 0.69 1807 0.881 1808 1.289 1809 0.93 1810 0.891 1811 1.072 1812 1.257 1813 1.481 1814 1.22 1815 1.405 1816 1.151 1817 1.525 1818 1.003 1819 1.197 1820 1.006 1821 1.225 1822 0.968 1823 0.82 1824 0.609 1825 1.006 1826 1.075 1827 1.035 1828 0.933 1829 1.307 1830 1.25 1831 0.89 1832 0.986 1833 0.791 1834 0.831 1835 0.996 1836 0.732 1837 0.669 1838 0.433 1839 0.627 1840 0.436 1841 0.549 1842 0.692 1843 0.392 1844 0.97 1845 0.934 1846 0.999 1847 1.065 1848 0.968 1849 1.215 1850 1.148 1851 0.833 1852 1.261 1853 0.923 1854 0.97 1855 0.652 1856 0.652 1857 1.0 1858 1.142 1859 1.1 1860 0.598 1861 0.568 1862 0.683 1863 1.046 1864 1.173 1865 1.216 1866 1.377 1867 1.184 1868 0.863 1869 0.87 1870 1.641 1871 1.178 1872 1.128 1873 1.368 1874 0.973 1875 1.04 1876 1.047 1877 1.234 1878 1.544 1879 0.672 1880 0.848 1881 0.722 1882 1.483 1883 0.894 1884 0.889 1885 0.644 1886 0.376 1887 0.595 1888 0.921 1889 1.08 1890 0.846 1891 1.001 1892 1.793 1893 1.678 1894 0.834 1895 1.231 1896 0.788 1897 0.882 1898 0.773 1899 0.636 1900 0.994 1901 0.865 1902 0.944 1903 0.778 1904 0.884 1905 1.106 1906 1.389 1907 1.542 1908 2.03 1909 1.616 1910 1.077 1911 0.917 1912 0.826 1913 1.114 1914 1.369 1915 1.286 1916 0.852 1917 1.071 1918 1.196 1919 0.937 1920 0.713 1921 0.581 1922 0.714 1923 0.975 1924 0.921 1925 0.5 1926 0.876 1927 0.92 1928 0.918 1929 1.104 1930 0.837 1931 0.854 1932 0.778 1933 1.013 1934 0.711 1935 0.923 1936 0.739 1937 1.682 1938 0.716 1939 0.914 1940 1.315 1941 1.082 1942 0.922 1943 0.661 1944 0.705 1945 0.832 1946 1.025 1947 1.056 1948 0.672 1949 0.893 1950 1.269 1951 0.971 1952 0.918 1953 0.759 1954 0.629 1955 1.045 1956 0.489 1957 0.764 1958 0.939 1959 1.548 1960 1.257 1961 1.533 1962 1.246 1963 0.812 1964 0.816 1965 0.775 1966 1.039 1967 0.831 1968 0.808 1969 1.0 1970 1.186 1971 1.346 1972 0.706 1973 0.956 1974 0.77 1975 0.894 1976 1.083 1977 1.033 1978 0.659 1979 0.772 1980 0.503 1981 0.731 1982 1.044