# northamerica_usa_az077 - Grasshopper - 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_az077 - Grasshopper - 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 # 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_az077B # Earliest_Year: 1740 # Most_Recent_Year: 1971 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.15732067422"}{"T2":"15.0325228936"}{"M1":"0.0230663133189"}{"M2":"0.517275002448"} #-------------------- # 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 1740 1.058 1741 0.977 1742 0.825 1743 1.057 1744 1.208 1745 1.622 1746 1.824 1747 2.052 1748 0.538 1749 2.082 1750 1.774 1751 0.976 1752 0.093 1753 0.322 1754 0.635 1755 0.406 1756 0.229 1757 0.156 1758 0.322 1759 0.536 1760 0.734 1761 0.335 1762 0.845 1763 0.369 1764 1.494 1765 0.868 1766 1.575 1767 1.188 1768 1.607 1769 1.131 1770 1.281 1771 1.748 1772 1.618 1773 0.543 1774 1.049 1775 1.177 1776 1.488 1777 0.908 1778 0.451 1779 0.83 1780 0.433 1781 0.583 1782 0.165 1783 0.87 1784 1.458 1785 0.504 1786 0.919 1787 1.332 1788 0.416 1789 0.945 1790 0.669 1791 1.198 1792 1.411 1793 1.874 1794 0.937 1795 1.506 1796 1.162 1797 0.638 1798 0.803 1799 1.004 1800 0.662 1801 0.397 1802 0.71 1803 0.173 1804 0.702 1805 0.611 1806 0.8 1807 0.993 1808 1.254 1809 1.265 1810 1.06 1811 1.183 1812 1.135 1813 0.849 1814 1.125 1815 1.362 1816 1.64 1817 0.995 1818 0.55 1819 0.314 1820 -0.022 1821 0.788 1822 0.21 1823 -0.022 1824 0.933 1825 1.287 1826 1.297 1827 1.063 1828 1.593 1829 0.75 1830 1.191 1831 1.087 1832 1.395 1833 1.444 1834 1.396 1835 1.188 1836 1.318 1837 0.905 1838 1.537 1839 1.7 1840 1.254 1841 0.524 1842 0.78 1843 0.769 1844 1.504 1845 0.363 1846 0.719 1847 -0.023 1848 0.672 1849 1.246 1850 1.186 1851 0.974 1852 1.679 1853 1.726 1854 1.098 1855 1.514 1856 1.305 1857 0.673 1858 1.155 1859 0.681 1860 1.141 1861 0.579 1862 1.269 1863 0.635 1864 0.113 1865 1.188 1866 1.28 1867 1.402 1868 2.032 1869 1.778 1870 1.069 1871 0.25 1872 0.784 1873 0.547 1874 0.878 1875 1.279 1876 0.922 1877 0.855 1878 1.091 1879 1.02 1880 0.833 1881 0.789 1882 0.996 1883 1.122 1884 1.424 1885 1.652 1886 1.252 1887 0.576 1888 1.023 1889 0.967 1890 1.189 1891 0.955 1892 0.877 1893 0.434 1894 0.187 1895 0.725 1896 0.745 1897 0.945 1898 1.045 1899 0.802 1900 0.196 1901 0.808 1902 0.15 1903 0.572 1904 -0.034 1905 0.822 1906 0.972 1907 1.16 1908 1.642 1909 1.653 1910 1.118 1911 1.771 1912 1.822 1913 1.277 1914 1.969 1915 1.744 1916 1.473 1917 1.574 1918 1.029 1919 1.499 1920 1.452 1921 0.81 1922 1.42 1923 1.348 1924 1.203 1925 1.003 1926 1.118 1927 1.097 1928 1.05 1929 1.232 1930 1.167 1931 1.261 1932 1.346 1933 0.853 1934 0.404 1935 1.151 1936 0.671 1937 1.156 1938 0.901 1939 0.792 1940 0.618 1941 1.346 1942 0.975 1943 1.113 1944 1.106 1945 1.021 1946 0.406 1947 0.903 1948 0.481 1949 1.068 1950 0.488 1951 0.346 1952 1.236 1953 0.997 1954 0.9 1955 0.235 1956 0.402 1957 0.855 1958 0.889 1959 0.365 1960 1.262 1961 0.499 1962 0.988 1963 0.67 1964 0.294 1965 0.877 1966 1.236 1967 1.054 1968 1.112 1969 1.475 1970 0.812 1971 0.538