# northamerica_usa_ca578 - Hodgdon Yosemite National Park - 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_ca578 - Hodgdon Yosemite National Park - 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: Hodgdon Yosemite National Park # Location: # Country: United States # Northernmost_Latitude: 37.8 # Southernmost_Latitude: 37.8 # Easternmost_Longitude: -119.87 # Westernmost_Longitude: -119.87 # Elevation: 1722 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca578B # Earliest_Year: 1880 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.31863790783"}{"T2":"14.2659048754"}{"M1":"0.0226472563088"}{"M2":"0.549433908251"} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1880 0.855 1881 0.979 1882 0.817 1883 0.954 1884 1.006 1885 1.273 1886 0.912 1887 0.881 1888 0.876 1889 0.942 1890 1.046 1891 1.071 1892 1.05 1893 1.28 1894 1.213 1895 1.064 1896 1.056 1897 1.159 1898 0.875 1899 0.808 1900 0.777 1901 0.866 1902 0.854 1903 1.068 1904 0.978 1905 1.021 1906 1.01 1907 1.189 1908 1.001 1909 1.034 1910 0.966 1911 0.885 1912 0.833 1913 0.826 1914 1.15 1915 1.08 1916 1.049 1917 0.987 1918 0.895 1919 1.136 1920 0.955 1921 1.117 1922 0.832 1923 1.257 1924 0.688 1925 0.923 1926 1.039 1927 0.931 1928 1.062 1929 0.855 1930 0.878 1931 0.821 1932 0.869 1933 0.668 1934 0.689 1935 0.799 1936 0.79 1937 0.778 1938 1.127 1939 1.008 1940 1.112 1941 1.288 1942 1.261 1943 1.552 1944 1.181 1945 1.253 1946 1.546 1947 1.328 1948 0.728 1949 0.659 1950 0.776 1951 0.944 1952 0.787 1953 0.841 1954 0.988 1955 0.755 1956 0.874 1957 0.976 1958 1.246 1959 0.89 1960 0.877 1961 0.794 1962 0.955 1963 0.935 1964 0.853 1965 1.026 1966 0.891 1967 0.896 1968 0.942 1969 1.121 1970 0.917 1971 1.003 1972 1.002 1973 0.903 1974 1.159 1975 1.217 1976 0.837 1977 0.511 1978 0.944 1979 0.963 1980 0.78 1981 0.949 1982 1.206 1983 1.456 1984 1.438 1985 1.178 1986 1.676 1987 1.086 1988 0.866 1989 0.825 1990 0.933