# northamerica_usa_tn028 - Piney Campround - Land Between The Lakes - 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/5506 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_tn028 - Piney Campround - Land Between The Lakes - 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: Piney Campround - Land Between The Lakes # Location: # Country: United States # Northernmost_Latitude: 36.48 # Southernmost_Latitude: 36.48 # Easternmost_Longitude: -88.0 # Westernmost_Longitude: -88.0 # Elevation: 170 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_tn028B # Earliest_Year: 1812 # Most_Recent_Year: 2005 # 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":"4.68687571479","T2":"17.2318068862","M1":"0.0231144067201","M2":"0.593190119631"}} #-------------------- # 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 1812 1.058 1813 0.475 1814 1.204 1815 1.167 1816 0.916 1817 1.002 1818 0.748 1819 1.094 1820 0.733 1821 1.06 1822 0.918 1823 0.801 1824 0.644 1825 1.025 1826 1.319 1827 0.971 1828 1.267 1829 1.09 1830 1.216 1831 1.332 1832 0.955 1833 0.864 1834 0.989 1835 0.71 1836 0.492 1837 0.998 1838 1.094 1839 0.996 1840 1.37 1841 1.08 1842 1.104 1843 0.967 1844 1.346 1845 0.873 1846 0.954 1847 0.827 1848 1.05 1849 1.209 1850 1.157 1851 1.132 1852 0.984 1853 1.284 1854 0.906 1855 0.921 1856 0.411 1857 0.739 1858 1.2 1859 1.305 1860 1.033 1861 1.453 1862 1.068 1863 1.001 1864 0.81 1865 0.923 1866 0.904 1867 0.599 1868 0.692 1869 0.837 1870 1.053 1871 0.86 1872 0.841 1873 0.947 1874 0.503 1875 1.022 1876 1.008 1877 1.27 1878 0.992 1879 0.788 1880 1.432 1881 0.785 1882 1.188 1883 0.96 1884 0.987 1885 0.802 1886 0.807 1887 0.855 1888 1.027 1889 1.202 1890 1.107 1891 0.895 1892 1.225 1893 1.184 1894 1.173 1895 0.891 1896 1.131 1897 1.135 1898 1.202 1899 0.926 1900 0.988 1901 0.967 1902 0.493 1903 0.673 1904 1.005 1905 1.12 1906 0.996 1907 1.204 1908 1.262 1909 1.522 1910 1.174 1911 0.952 1912 0.954 1913 0.716 1914 0.623 1915 0.917 1916 1.013 1917 1.336 1918 0.923 1919 0.895 1920 0.823 1921 0.754 1922 1.013 1923 1.316 1924 1.179 1925 0.725 1926 1.166 1927 1.096 1928 1.12 1929 1.385 1930 0.594 1931 0.495 1932 0.852 1933 0.982 1934 0.882 1935 1.203 1936 0.335 1937 0.549 1938 0.878 1939 0.674 1940 0.623 1941 0.665 1942 0.544 1943 0.602 1944 0.894 1945 0.999 1946 0.904 1947 0.949 1948 0.933 1949 1.364 1950 1.519 1951 1.138 1952 0.864 1953 0.395 1954 0.737 1955 1.008 1956 0.892 1957 0.884 1958 1.183 1959 1.02 1960 1.198 1961 1.434 1962 1.471 1963 1.112 1964 0.792 1965 0.847 1966 0.821 1967 1.002 1968 0.985 1969 1.036 1970 1.159 1971 1.26 1972 1.155 1973 1.33 1974 1.635 1975 1.207 1976 1.628 1977 1.344 1978 0.515 1979 0.784 1980 0.808 1981 1.424 1982 1.37 1983 0.827 1984 0.978 1985 0.835 1986 0.648 1987 0.986 1988 0.678 1989 0.796 1990 0.882 1991 1.006 1992 1.366 1993 1.026 1994 0.979 1995 1.131 1996 1.09 1997 1.269 1998 0.982 1999 1.018 2000 0.976 2001 0.993 2002 0.615 2003 0.994 2004 1.006 2005 0.833