# northamerica_usa_ca645 - Marys 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_ca645 - Marys 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: Marys Ranch # Location: # Country: United States # Northernmost_Latitude: 37.67 # Southernmost_Latitude: 37.67 # Easternmost_Longitude: -121.78 # Westernmost_Longitude: -121.78 # Elevation: 475 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca645B # Earliest_Year: 1866 # Most_Recent_Year: 2003 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.24664339954"}{"T2":"15.5715985533"}{"M1":"0.0228425902187"}{"M2":"0.484818566124"} #-------------------- # Species # Species_Name: blue oak # Species_Code: QUDG #-------------------- # 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 1866 1.301 1867 1.485 1868 1.519 1869 0.895 1870 0.795 1871 0.632 1872 0.781 1873 0.937 1874 1.06 1875 1.053 1876 1.163 1877 0.564 1878 1.158 1879 0.849 1880 1.173 1881 1.195 1882 0.988 1883 0.749 1884 1.397 1885 0.74 1886 0.881 1887 1.046 1888 1.606 1889 1.08 1890 1.541 1891 1.055 1892 1.024 1893 1.301 1894 1.356 1895 1.117 1896 0.876 1897 1.348 1898 0.591 1899 0.8 1900 1.178 1901 0.989 1902 0.681 1903 1.114 1904 1.211 1905 1.08 1906 1.331 1907 1.452 1908 1.112 1909 1.046 1910 0.967 1911 0.984 1912 0.611 1913 0.499 1914 1.076 1915 1.098 1916 0.966 1917 0.737 1918 0.535 1919 0.85 1920 0.597 1921 0.843 1922 1.054 1923 1.035 1924 0.34 1925 1.186 1926 1.105 1927 1.131 1928 0.886 1929 0.627 1930 1.025 1931 0.695 1932 1.327 1933 0.768 1934 0.542 1935 1.267 1936 1.362 1937 1.41 1938 1.533 1939 0.992 1940 1.375 1941 1.803 1942 1.203 1943 0.952 1944 1.141 1945 1.118 1946 0.981 1947 0.456 1948 0.636 1949 0.768 1950 0.627 1951 1.208 1952 1.676 1953 0.987 1954 0.654 1955 0.856 1956 0.792 1957 0.812 1958 0.908 1959 0.671 1960 0.671 1961 0.513 1962 0.929 1963 0.871 1964 0.588 1965 0.831 1966 0.812 1967 0.642 1968 0.761 1969 1.125 1970 0.741 1971 0.876 1972 0.33 1973 0.954 1974 1.527 1975 1.366 1976 0.457 1977 0.264 1978 1.765 1979 0.918 1980 1.202 1981 0.797 1982 1.049 1983 1.19 1984 1.002 1985 0.884 1986 1.076 1987 0.607 1988 0.52 1989 0.749 1990 0.493 1991 0.946 1992 1.501 1993 1.761 1994 0.799 1995 1.234 1996 1.383 1997 1.392 1998 1.753 1999 1.46 2000 1.247 2001 0.814 2002 0.851 2003 1.21