# northamerica_usa_nm569 - Ski Valley Wheeler Peak - 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_nm569 - Ski Valley Wheeler Peak - 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: Ski Valley Wheeler Peak # Location: # Country: United States # Northernmost_Latitude: 36.58 # Southernmost_Latitude: 36.58 # Easternmost_Longitude: -105.5 # Westernmost_Longitude: -105.5 # Elevation: 3120 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm569B # Earliest_Year: 1836 # Most_Recent_Year: 1983 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"6.03102562001"}{"T2":"15.6642570162"}{"M1":"0.0228918683772"}{"M2":"0.509852317817"} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1836 0.995 1837 1.081 1838 0.941 1839 0.965 1840 1.01 1841 1.152 1842 1.06 1843 0.986 1844 0.974 1845 0.943 1846 0.935 1847 0.819 1848 0.858 1849 0.671 1850 0.905 1851 0.717 1852 0.953 1853 0.828 1854 0.917 1855 1.097 1856 1.058 1857 0.89 1858 1.128 1859 0.917 1860 0.991 1861 0.984 1862 1.038 1863 0.937 1864 0.843 1865 0.72 1866 0.93 1867 1.043 1868 1.034 1869 1.059 1870 0.931 1871 0.914 1872 0.971 1873 1.014 1874 1.188 1875 1.077 1876 0.982 1877 0.841 1878 0.945 1879 0.806 1880 0.888 1881 1.116 1882 0.901 1883 1.01 1884 1.114 1885 1.132 1886 1.119 1887 1.114 1888 1.107 1889 1.088 1890 1.042 1891 1.246 1892 1.146 1893 0.785 1894 1.117 1895 1.149 1896 0.892 1897 1.037 1898 1.145 1899 0.814 1900 0.983 1901 1.038 1902 0.964 1903 1.139 1904 0.887 1905 1.015 1906 0.979 1907 1.146 1908 1.101 1909 1.243 1910 1.226 1911 1.35 1912 1.116 1913 1.178 1914 1.097 1915 1.2 1916 1.279 1917 1.339 1918 1.133 1919 1.079 1920 0.974 1921 1.055 1922 1.01 1923 0.885 1924 1.143 1925 0.988 1926 1.061 1927 1.073 1928 0.954 1929 0.94 1930 1.197 1931 1.061 1932 0.952 1933 0.996 1934 1.06 1935 1.13 1936 1.224 1937 1.137 1938 1.278 1939 0.959 1940 0.865 1941 1.063 1942 0.984 1943 0.846 1944 1.02 1945 0.976 1946 0.735 1947 0.945 1948 0.955 1949 0.741 1950 0.812 1951 0.844 1952 0.661 1953 0.775 1954 0.598 1955 0.737 1956 0.764 1957 0.789 1958 0.811 1959 0.631 1960 0.809 1961 0.802 1962 0.803 1963 0.728 1964 0.66 1965 0.8 1966 0.914 1967 1.03 1968 1.15 1969 1.216 1970 1.056 1971 0.77 1972 0.982 1973 1.072 1974 1.161 1975 1.051 1976 0.968 1977 0.934 1978 1.126 1979 1.279 1980 1.169 1981 0.999 1982 1.059 1983 0.879