# northamerica_usa_ok035 - Okmulgee Game Management Area update - 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/8505 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ok035 - Okmulgee Game Management Area update - 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: Okmulgee Game Management Area update # Location: # Country: United States # Northernmost_Latitude: 35.63 # Southernmost_Latitude: 35.63 # Easternmost_Longitude: -96.03 # Westernmost_Longitude: -96.03 # Elevation: 235 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ok035B # Earliest_Year: 1755 # Most_Recent_Year: 2007 # 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":"4.77077937109","T2":"16.4090571285","M1":"0.0227126334524","M2":"0.579434426771"}} #-------------------- # 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 1755 0.89 1756 0.936 1757 0.663 1758 0.906 1759 1.013 1760 1.05 1761 1.078 1762 0.72 1763 0.457 1764 1.295 1765 0.929 1766 0.927 1767 0.425 1768 0.659 1769 0.831 1770 0.956 1771 0.739 1772 0.388 1773 0.595 1774 0.462 1775 0.595 1776 1.672 1777 1.09 1778 0.989 1779 0.828 1780 0.558 1781 1.036 1782 1.299 1783 1.059 1784 1.006 1785 1.013 1786 0.594 1787 1.172 1788 0.96 1789 1.041 1790 0.865 1791 0.738 1792 1.197 1793 1.276 1794 1.038 1795 0.851 1796 1.083 1797 0.834 1798 0.591 1799 0.941 1800 0.675 1801 0.453 1802 0.68 1803 1.081 1804 1.049 1805 0.96 1806 0.783 1807 0.855 1808 0.84 1809 0.898 1810 1.03 1811 1.641 1812 0.897 1813 1.362 1814 1.428 1815 1.43 1816 0.916 1817 1.001 1818 0.798 1819 1.237 1820 0.945 1821 0.905 1822 0.81 1823 0.971 1824 0.716 1825 0.967 1826 1.82 1827 1.674 1828 1.308 1829 0.688 1830 1.056 1831 0.747 1832 0.488 1833 0.889 1834 0.679 1835 0.775 1836 1.133 1837 1.045 1838 0.866 1839 0.738 1840 1.026 1841 0.675 1842 0.844 1843 0.967 1844 1.081 1845 0.785 1846 0.831 1847 0.747 1848 0.85 1849 1.051 1850 0.724 1851 0.511 1852 0.849 1853 1.059 1854 1.151 1855 0.313 1856 0.688 1857 0.881 1858 1.325 1859 0.718 1860 0.858 1861 1.073 1862 0.54 1863 0.559 1864 0.663 1865 0.889 1866 1.407 1867 0.964 1868 1.248 1869 1.672 1870 1.246 1871 1.154 1872 1.089 1873 1.186 1874 0.665 1875 0.8 1876 1.174 1877 0.894 1878 1.283 1879 0.634 1880 0.609 1881 0.762 1882 0.885 1883 1.172 1884 1.014 1885 1.032 1886 0.635 1887 0.963 1888 0.976 1889 0.852 1890 0.818 1891 1.134 1892 1.315 1893 1.303 1894 0.89 1895 0.903 1896 1.134 1897 0.904 1898 0.912 1899 0.709 1900 0.536 1901 0.472 1902 0.705 1903 0.774 1904 0.746 1905 0.789 1906 0.835 1907 0.887 1908 1.489 1909 1.175 1910 0.81 1911 0.473 1912 1.018 1913 0.743 1914 0.833 1915 1.449 1916 1.06 1917 0.729 1918 0.592 1919 1.205 1920 1.004 1921 1.266 1922 1.152 1923 1.504 1924 0.895 1925 0.853 1926 0.806 1927 1.152 1928 1.263 1929 1.589 1930 1.123 1931 0.847 1932 0.906 1933 0.934 1934 0.776 1935 1.139 1936 0.636 1937 0.887 1938 1.384 1939 0.875 1940 0.588 1941 1.236 1942 1.267 1943 1.224 1944 1.209 1945 1.32 1946 1.315 1947 1.146 1948 0.958 1949 1.431 1950 1.041 1951 1.139 1952 0.823 1953 0.627 1954 0.838 1955 0.575 1956 0.681 1957 0.796 1958 0.971 1959 1.137 1960 1.319 1961 0.937 1962 1.057 1963 0.883 1964 0.852 1965 0.82 1966 0.682 1967 0.708 1968 0.931 1969 1.095 1970 1.111 1971 1.103 1972 0.818 1973 1.402 1974 1.192 1975 1.666 1976 1.148 1977 1.057 1978 1.154 1979 1.007 1980 1.012 1981 0.914 1982 1.202 1983 1.076 1984 0.948 1985 1.179 1986 1.148 1987 1.064 1988 0.715 1989 1.151 1990 0.839 1991 0.843 1992 1.097 1993 1.155 1994 0.875 1995 1.039 1996 0.718 1997 0.691 1998 0.791 1999 1.023 2000 0.944 2001 0.804 2002 0.874 2003 0.659 2004 0.726 2005 0.839 2006 0.471 2007 0.752