# northamerica_usa_ks011 - Lazy S - B Ranch - 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: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ks011 - Lazy S - B Ranch - 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. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Lazy S - B Ranch # Location: # Country: United States # Northernmost_Latitude: 37.5 # Southernmost_Latitude: 37.5 # Easternmost_Longitude: -95.97 # Westernmost_Longitude: -95.97 # Elevation: 307 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ks011B # Earliest_Year: 1835 # Most_Recent_Year: 2006 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.907082181"}{"T2":"17.1642010105"}{"M1":"0.022623498383"}{"M2":"0.584484345114"} #-------------------- # 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 1835 0.612 1836 1.197 1837 1.213 1838 0.993 1839 0.583 1840 0.56 1841 0.758 1842 1.196 1843 1.268 1844 1.01 1845 0.93 1846 1.121 1847 0.767 1848 0.779 1849 1.229 1850 1.049 1851 0.534 1852 0.805 1853 0.776 1854 0.702 1855 0.154 1856 0.524 1857 0.505 1858 0.637 1859 0.714 1860 0.436 1861 1.156 1862 0.698 1863 0.968 1864 0.834 1865 0.79 1866 1.247 1867 1.378 1868 0.708 1869 1.827 1870 1.185 1871 1.134 1872 0.858 1873 0.973 1874 0.747 1875 0.716 1876 1.227 1877 1.1 1878 1.726 1879 1.083 1880 1.395 1881 1.219 1882 1.21 1883 1.021 1884 0.786 1885 1.13 1886 0.91 1887 0.95 1888 1.211 1889 0.996 1890 0.686 1891 1.181 1892 0.805 1893 0.851 1894 0.604 1895 0.374 1896 0.365 1897 0.76 1898 0.83 1899 1.165 1900 0.768 1901 0.632 1902 1.408 1903 1.089 1904 1.445 1905 1.257 1906 1.389 1907 1.108 1908 1.414 1909 1.36 1910 0.916 1911 0.395 1912 0.839 1913 0.272 1914 0.525 1915 1.549 1916 1.377 1917 0.595 1918 0.493 1919 1.133 1920 1.367 1921 0.939 1922 1.019 1923 0.963 1924 1.056 1925 0.804 1926 0.87 1927 1.194 1928 1.641 1929 1.378 1930 1.059 1931 0.965 1932 1.118 1933 0.64 1934 0.682 1935 0.842 1936 0.681 1937 0.709 1938 1.062 1939 0.808 1940 0.708 1941 1.172 1942 1.222 1943 1.264 1944 0.956 1945 1.146 1946 0.754 1947 0.933 1948 0.889 1949 1.211 1950 0.941 1951 1.214 1952 0.72 1953 0.484 1954 0.698 1955 1.033 1956 0.558 1957 0.777 1958 1.274 1959 0.975 1960 1.285 1961 1.135 1962 1.091 1963 0.713 1964 0.731 1965 1.162 1966 0.636 1967 0.975 1968 1.166 1969 1.106 1970 1.126 1971 1.178 1972 0.755 1973 1.057 1974 1.067 1975 1.682 1976 1.197 1977 1.011 1978 0.91 1979 0.906 1980 0.679 1981 0.823 1982 1.1 1983 1.189 1984 0.925 1985 1.044 1986 1.053 1987 1.131 1988 0.74 1989 1.083 1990 1.072 1991 0.876 1992 1.071 1993 1.147 1994 0.788 1995 1.149 1996 0.685 1997 1.261 1998 0.848 1999 1.074 2000 1.043 2001 0.711 2002 0.702 2003 0.85 2004 0.892 2005 1.048 2006 0.633