# northamerica_usa_fl005 - Suwannee River - 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/4948 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_fl005 - Suwannee River - 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: Suwannee River # Location: # Country: United States # Northernmost_Latitude: 29.73 # Southernmost_Latitude: 29.73 # Easternmost_Longitude: -82.95 # Westernmost_Longitude: -82.95 # Elevation: 5 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_fl005B # Earliest_Year: 1785 # Most_Recent_Year: 1993 # 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":"5.32262074227","T2":"16.4545483437","M1":"0.0225154763021","M2":"0.571487833454"}} #-------------------- # Species # Species_Name: overcup oak # Species_Code: QULY #-------------------- # 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 1785 1.335 1786 1.178 1787 0.579 1788 0.734 1789 0.849 1790 0.957 1791 0.525 1792 1.065 1793 0.894 1794 1.084 1795 0.759 1796 0.449 1797 0.57 1798 0.429 1799 0.531 1800 0.784 1801 0.913 1802 0.379 1803 0.684 1804 0.817 1805 0.957 1806 0.804 1807 1.049 1808 0.967 1809 0.615 1810 0.766 1811 1.065 1812 1.278 1813 1.175 1814 1.045 1815 1.071 1816 0.576 1817 0.707 1818 1.278 1819 0.849 1820 0.989 1821 1.145 1822 0.977 1823 1.106 1824 1.2 1825 1.13 1826 1.109 1827 0.845 1828 0.477 1829 0.499 1830 0.563 1831 1.075 1832 0.975 1833 0.785 1834 0.94 1835 1.146 1836 1.178 1837 1.009 1838 1.158 1839 0.41 1840 0.675 1841 1.076 1842 0.998 1843 0.836 1844 1.01 1845 0.727 1846 1.403 1847 1.642 1848 0.902 1849 0.77 1850 0.505 1851 0.873 1852 1.293 1853 0.805 1854 1.437 1855 0.912 1856 1.366 1857 1.898 1858 1.545 1859 1.595 1860 0.803 1861 0.889 1862 1.073 1863 1.057 1864 1.284 1865 1.422 1866 1.183 1867 1.069 1868 1.145 1869 1.102 1870 0.747 1871 0.931 1872 0.887 1873 0.779 1874 1.161 1875 0.815 1876 0.486 1877 0.955 1878 0.964 1879 0.91 1880 0.451 1881 0.864 1882 0.545 1883 0.815 1884 0.663 1885 0.598 1886 0.967 1887 0.618 1888 0.482 1889 0.59 1890 0.436 1891 0.341 1892 0.272 1893 0.72 1894 0.707 1895 1.018 1896 0.429 1897 0.532 1898 0.46 1899 0.64 1900 1.209 1901 1.923 1902 1.702 1903 1.957 1904 1.143 1905 0.919 1906 1.302 1907 1.297 1908 1.485 1909 1.114 1910 1.242 1911 1.634 1912 2.164 1913 1.736 1914 1.223 1915 1.069 1916 1.002 1917 1.368 1918 1.32 1919 1.69 1920 1.696 1921 1.295 1922 0.921 1923 1.249 1924 1.351 1925 1.334 1926 1.076 1927 0.674 1928 1.284 1929 1.611 1930 1.038 1931 0.84 1932 0.425 1933 1.312 1934 1.031 1935 0.88 1936 0.991 1937 0.676 1938 0.67 1939 0.878 1940 0.797 1941 0.471 1942 0.965 1943 0.739 1944 1.254 1945 1.007 1946 1.075 1947 0.697 1948 0.652 1949 0.787 1950 0.7 1951 0.663 1952 0.787 1953 0.896 1954 0.798 1955 0.398 1956 0.775 1957 0.662 1958 0.805 1959 0.752 1960 0.786 1961 0.824 1962 0.608 1963 0.593 1964 0.98 1965 1.012 1966 1.351 1967 0.625 1968 0.418 1969 0.72 1970 1.094 1971 0.922 1972 1.394 1973 1.436 1974 0.812 1975 1.446 1976 1.021 1977 0.964 1978 0.977 1979 0.763 1980 1.046 1981 0.8 1982 1.05 1983 1.284 1984 1.208 1985 0.646 1986 1.124 1987 0.571 1988 1.097 1989 0.586 1990 0.886 1991 1.272 1992 1.036 1993 1.036