# northamerica_usa_az523 - Grasshopper Recollection - 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_az523 - Grasshopper Recollection - 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: Grasshopper Recollection # Location: # Country: United States # Northernmost_Latitude: 34.07 # Southernmost_Latitude: 34.07 # Easternmost_Longitude: -110.62 # Westernmost_Longitude: -110.62 # Elevation: 1798 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az523B # Earliest_Year: 1746 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.52023504635"}{"T2":"14.8812132889"}{"M1":"0.0233720552296"}{"M2":"0.507977708571"} #-------------------- # 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 1746 1.613 1747 1.596 1748 0.533 1749 1.539 1750 1.622 1751 0.974 1752 0.217 1753 0.67 1754 0.923 1755 0.808 1756 0.625 1757 0.595 1758 0.911 1759 0.909 1760 0.925 1761 0.501 1762 1.13 1763 0.588 1764 1.509 1765 0.796 1766 1.598 1767 1.02 1768 1.472 1769 1.177 1770 1.177 1771 1.303 1772 1.28 1773 0.437 1774 0.977 1775 1.174 1776 1.461 1777 0.982 1778 0.489 1779 0.99 1780 0.462 1781 0.532 1782 0.205 1783 0.975 1784 1.491 1785 0.495 1786 1.062 1787 1.356 1788 0.462 1789 1.166 1790 0.851 1791 1.216 1792 1.664 1793 1.952 1794 1.009 1795 1.545 1796 1.236 1797 0.643 1798 0.907 1799 1.011 1800 0.643 1801 0.386 1802 0.816 1803 0.247 1804 0.787 1805 0.6 1806 0.75 1807 0.934 1808 1.295 1809 1.261 1810 1.145 1811 1.277 1812 1.165 1813 0.875 1814 1.106 1815 1.335 1816 1.614 1817 1.052 1818 0.548 1819 0.374 1820 -0.022 1821 0.756 1822 0.146 1823 -0.022 1824 0.743 1825 0.961 1826 1.22 1827 0.801 1828 1.3 1829 0.676 1830 1.098 1831 1.03 1832 1.334 1833 1.311 1834 1.536 1835 1.228 1836 1.412 1837 1.01 1838 1.741 1839 1.898 1840 1.285 1841 0.361 1842 0.651 1843 0.732 1844 1.455 1845 0.333 1846 0.671 1847 -0.022 1848 0.677 1849 1.087 1850 1.262 1851 1.06 1852 1.567 1853 1.597 1854 0.893 1855 1.548 1856 1.194 1857 0.53 1858 1.248 1859 0.761 1860 1.295 1861 0.592 1862 1.34 1863 0.675 1864 -0.022 1865 1.231 1866 1.311 1867 1.402 1868 2.53 1869 1.643 1870 0.849 1871 0.235 1872 0.665 1873 0.494 1874 0.715 1875 1.151 1876 0.701 1877 0.854 1878 1.011 1879 0.718 1880 0.718 1881 0.541 1882 0.814 1883 1.036 1884 1.462 1885 1.602 1886 1.34 1887 0.454 1888 1.166 1889 1.044 1890 1.32 1891 0.961 1892 0.962 1893 0.528 1894 0.27 1895 0.69 1896 0.843 1897 0.937 1898 1.067 1899 0.818 1900 0.235 1901 0.884 1902 0.14 1903 0.659 1904 -0.022 1905 0.781 1906 1.023 1907 1.39 1908 1.725 1909 1.969 1910 1.229 1911 1.911 1912 1.858 1913 1.324 1914 1.779 1915 1.761 1916 1.389 1917 1.406 1918 1.113 1919 1.576 1920 1.611 1921 0.935 1922 1.487 1923 1.382 1924 1.25 1925 0.901 1926 1.063 1927 1.045 1928 1.055 1929 1.212 1930 1.197 1931 1.335 1932 1.339 1933 0.921 1934 0.383 1935 1.155 1936 0.694 1937 1.174 1938 0.912 1939 0.761 1940 0.742 1941 1.357 1942 0.93 1943 1.146 1944 1.127 1945 0.964 1946 0.376 1947 0.743 1948 0.49 1949 0.784 1950 0.359 1951 0.29 1952 0.843 1953 0.82 1954 0.884 1955 0.131 1956 0.372 1957 0.736 1958 0.749 1959 0.272 1960 0.946 1961 0.511 1962 0.719 1963 0.587 1964 0.343 1965 0.725 1966 0.872 1967 0.762 1968 0.924 1969 1.147 1970 0.746 1971 0.551 1972 0.945 1973 1.03 1974 0.728 1975 1.369 1976 1.721 1977 0.65 1978 0.828 1979 1.405 1980 1.466 1981 0.89 1982 1.695 1983 1.684 1984 1.03 1985 1.457