# northamerica_usa_az099 - Hay Hollow Valley - 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_az099 - Hay Hollow Valley - 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: Hay Hollow Valley # Location: # Country: United States # Northernmost_Latitude: 34.5 # Southernmost_Latitude: 34.5 # Easternmost_Longitude: -109.95 # Westernmost_Longitude: -109.95 # Elevation: 1780 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az099B # Earliest_Year: 1700 # Most_Recent_Year: 1973 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.12232778933"}{"T2":"15.9446541138"}{"M1":"0.0241716950447"}{"M2":"0.439579231158"} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1700 0.971 1701 1.012 1702 0.934 1703 0.84 1704 0.681 1705 0.717 1706 1.376 1707 0.401 1708 0.88 1709 1.092 1710 1.315 1711 1.251 1712 1.201 1713 0.991 1714 1.193 1715 0.799 1716 0.416 1717 0.795 1718 1.155 1719 0.618 1720 1.094 1721 0.891 1722 1.147 1723 1.109 1724 0.182 1725 0.865 1726 1.655 1727 1.213 1728 0.005 1729 0.131 1730 0.617 1731 0.802 1732 1.108 1733 0.774 1734 1.0 1735 0.974 1736 1.252 1737 1.012 1738 0.969 1739 0.693 1740 0.783 1741 0.59 1742 0.89 1743 1.385 1744 0.659 1745 1.189 1746 1.588 1747 1.264 1748 0.002 1749 1.317 1750 1.065 1751 0.887 1752 0.392 1753 0.192 1754 1.158 1755 0.977 1756 0.802 1757 1.022 1758 1.153 1759 1.236 1760 0.698 1761 0.986 1762 1.372 1763 0.975 1764 1.586 1765 1.372 1766 1.95 1767 0.865 1768 1.675 1769 1.03 1770 1.491 1771 1.616 1772 0.448 1773 -0.001 1774 0.178 1775 1.053 1776 1.346 1777 1.575 1778 0.815 1779 0.989 1780 1.133 1781 0.105 1782 0.227 1783 0.392 1784 1.083 1785 1.475 1786 0.267 1787 0.784 1788 1.408 1789 0.317 1790 0.604 1791 0.758 1792 1.027 1793 1.016 1794 1.706 1795 0.513 1796 1.301 1797 1.173 1798 0.73 1799 0.938 1800 1.316 1801 1.306 1802 1.274 1803 1.246 1804 1.283 1805 0.789 1806 0.154 1807 1.08 1808 1.099 1809 1.035 1810 0.498 1811 0.771 1812 1.163 1813 1.079 1814 1.646 1815 1.633 1816 2.093 1817 1.39 1818 0.874 1819 0.066 1820 0.193 1821 0.978 1822 0.617 1823 0.114 1824 1.077 1825 1.213 1826 1.635 1827 1.136 1828 1.216 1829 0.823 1830 1.456 1831 0.563 1832 0.625 1833 1.538 1834 1.466 1835 1.9 1836 0.892 1837 1.826 1838 1.889 1839 2.01 1840 1.756 1841 1.667 1842 0.596 1843 0.368 1844 1.667 1845 1.255 1846 1.055 1847 -0.002 1848 0.965 1849 2.002 1850 1.574 1851 0.926 1852 1.627 1853 1.166 1854 1.205 1855 1.213 1856 1.313 1857 -0.002 1858 1.636 1859 0.992 1860 0.906 1861 0.34 1862 0.981 1863 1.029 1864 0.372 1865 1.329 1866 1.664 1867 1.082 1868 1.605 1869 1.401 1870 0.912 1871 0.324 1872 0.813 1873 0.224 1874 1.391 1875 1.251 1876 1.264 1877 1.246 1878 1.0 1879 1.054 1880 0.889 1881 0.753 1882 1.344 1883 0.977 1884 0.937 1885 1.271 1886 0.427 1887 1.165 1888 1.165 1889 1.402 1890 0.899 1891 1.234 1892 0.452 1893 -0.002 1894 0.146 1895 0.399 1896 0.96 1897 1.067 1898 0.679 1899 -0.002 1900 0.198 1901 0.812 1902 -0.002 1903 0.884 1904 -0.002 1905 1.214 1906 1.647 1907 1.395 1908 1.641 1909 0.819 1910 0.888 1911 1.598 1912 1.429 1913 0.184 1914 0.641 1915 1.586 1916 1.214 1917 1.081 1918 0.343 1919 1.983 1920 1.87 1921 0.914 1922 1.396 1923 0.833 1924 1.579 1925 0.392 1926 1.284 1927 0.762 1928 0.685 1929 0.634 1930 1.0 1931 1.153 1932 1.291 1933 1.319 1934 1.312 1935 0.798 1936 0.98 1937 1.417 1938 0.649 1939 0.349 1940 0.624 1941 1.227 1942 1.097 1943 0.311 1944 1.219 1945 0.421 1946 0.0 1947 0.788 1948 1.111 1949 0.852 1950 0.221 1951 0.0 1952 1.419 1953 1.23 1954 0.657 1955 0.156 1956 0.54 1957 0.136 1958 0.68 1959 0.396 1960 1.231 1961 0.416 1962 1.051 1963 0.21 1964 0.424 1965 1.396 1966 0.43 1967 0.245 1968 1.339 1969 1.495 1970 1.173 1971 0.226 1972 1.605 1973 2.113