# northamerica_usa_az519 - Green Mountain - 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3361 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az519 - Green Mountain - 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. #-------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Green Mountain # Location: # Country: United States # Northernmost_Latitude: 32.38 # Southernmost_Latitude: 32.38 # Easternmost_Longitude: -110.68 # Westernmost_Longitude: -110.68 # Elevation: 2194 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az519B # Earliest_Year: 1719 # Most_Recent_Year: 1986 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.20512963923","T2":"15.6024834928","M1":"0.0235149129554","M2":"0.407845278596"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1719 0.786 1720 0.885 1721 1.006 1722 0.815 1723 1.044 1724 0.906 1725 0.734 1726 1.198 1727 1.0 1728 0.986 1729 0.956 1730 1.064 1731 1.083 1732 0.997 1733 0.743 1734 1.141 1735 0.735 1736 1.379 1737 1.258 1738 1.079 1739 0.811 1740 0.761 1741 1.112 1742 0.93 1743 1.287 1744 1.148 1745 1.352 1746 1.679 1747 1.358 1748 0.778 1749 1.277 1750 0.866 1751 0.954 1752 0.305 1753 0.7 1754 0.692 1755 0.812 1756 0.807 1757 0.859 1758 1.116 1759 1.053 1760 0.988 1761 0.637 1762 1.135 1763 0.684 1764 1.05 1765 1.044 1766 1.079 1767 1.005 1768 1.046 1769 1.031 1770 0.853 1771 1.133 1772 0.899 1773 0.574 1774 0.896 1775 0.969 1776 0.818 1777 0.662 1778 0.817 1779 0.651 1780 0.655 1781 0.64 1782 0.559 1783 1.008 1784 1.077 1785 0.886 1786 0.867 1787 0.963 1788 0.771 1789 0.764 1790 0.697 1791 1.073 1792 0.944 1793 1.277 1794 0.753 1795 0.992 1796 0.892 1797 0.672 1798 0.691 1799 0.898 1800 0.935 1801 0.809 1802 1.103 1803 0.881 1804 1.153 1805 1.012 1806 0.91 1807 0.896 1808 0.61 1809 0.83 1810 0.865 1811 0.842 1812 0.925 1813 1.004 1814 1.07 1815 1.29 1816 1.372 1817 0.951 1818 0.856 1819 0.411 1820 0.329 1821 0.96 1822 0.732 1823 0.665 1824 0.995 1825 0.869 1826 1.094 1827 1.234 1828 1.105 1829 1.321 1830 1.077 1831 1.352 1832 1.27 1833 1.385 1834 1.172 1835 1.093 1836 1.095 1837 1.175 1838 1.247 1839 1.484 1840 1.184 1841 0.687 1842 0.884 1843 1.006 1844 1.219 1845 0.962 1846 1.246 1847 0.772 1848 1.436 1849 1.452 1850 1.48 1851 1.065 1852 1.301 1853 0.93 1854 1.145 1855 1.19 1856 1.352 1857 0.988 1858 1.249 1859 1.103 1860 0.986 1861 0.949 1862 1.078 1863 0.621 1864 0.479 1865 1.04 1866 1.31 1867 1.329 1868 1.62 1869 1.139 1870 1.145 1871 0.971 1872 0.769 1873 0.872 1874 0.988 1875 0.961 1876 0.979 1877 1.281 1878 1.249 1879 1.072 1880 1.047 1881 1.004 1882 1.013 1883 1.244 1884 1.177 1885 1.034 1886 1.024 1887 0.668 1888 1.021 1889 0.876 1890 0.845 1891 0.849 1892 0.606 1893 0.679 1894 0.58 1895 0.706 1896 0.795 1897 0.676 1898 1.053 1899 1.153 1900 0.966 1901 1.004 1902 0.653 1903 0.954 1904 0.266 1905 1.07 1906 1.013 1907 1.105 1908 1.737 1909 1.557 1910 0.877 1911 0.941 1912 1.308 1913 1.003 1914 1.193 1915 1.376 1916 1.315 1917 1.334 1918 1.142 1919 1.518 1920 1.546 1921 0.667 1922 1.343 1923 1.066 1924 1.157 1925 0.504 1926 1.06 1927 1.15 1928 0.715 1929 0.634 1930 1.219 1931 1.081 1932 1.352 1933 1.537 1934 0.123 1935 1.208 1936 1.151 1937 0.923 1938 0.942 1939 0.826 1940 0.991 1941 1.521 1942 1.295 1943 0.866 1944 1.253 1945 1.105 1946 0.779 1947 0.621 1948 0.649 1949 1.041 1950 0.852 1951 0.995 1952 1.294 1953 0.999 1954 0.807 1955 0.685 1956 0.225 1957 0.876 1958 0.834 1959 0.477 1960 0.881 1961 0.428 1962 0.825 1963 0.637 1964 0.625 1965 0.945 1966 0.848 1967 0.934 1968 0.988 1969 0.913 1970 1.064 1971 0.379 1972 0.64 1973 1.034 1974 0.408 1975 0.995 1976 1.012 1977 0.723 1978 1.096 1979 0.919 1980 0.641 1981 0.69 1982 0.752 1983 0.88 1984 0.748 1985 0.967 1986 0.832