# northamerica_usa_ak064 - Frost 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3051 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak064 - Frost 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. #-------------------- # 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: Frost Valley # Location: # Country: United States # Northernmost_Latitude: 65.08 # Southernmost_Latitude: 65.08 # Easternmost_Longitude: -162.15 # Westernmost_Longitude: -162.15 # Elevation: 229 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak064B # Earliest_Year: 1711 # Most_Recent_Year: 2002 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.72342473688","T2":"17.2126150143","M1":"0.0224692449836","M2":"0.399194004071"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1711 0.848 1712 1.04 1713 0.973 1714 0.915 1715 0.901 1716 0.982 1717 0.918 1718 1.006 1719 1.034 1720 1.191 1721 1.164 1722 1.245 1723 1.28 1724 1.06 1725 1.204 1726 0.938 1727 1.061 1728 0.864 1729 0.961 1730 0.966 1731 1.132 1732 1.11 1733 1.136 1734 0.94 1735 0.684 1736 0.874 1737 0.97 1738 0.933 1739 1.137 1740 1.017 1741 1.011 1742 0.712 1743 1.168 1744 0.707 1745 0.868 1746 1.005 1747 1.038 1748 1.291 1749 1.504 1750 1.57 1751 0.934 1752 1.428 1753 1.021 1754 0.932 1755 0.931 1756 0.909 1757 0.876 1758 0.978 1759 0.978 1760 1.104 1761 1.301 1762 0.985 1763 1.042 1764 0.89 1765 0.795 1766 1.1 1767 1.003 1768 1.018 1769 1.06 1770 1.131 1771 0.796 1772 0.572 1773 0.5 1774 0.565 1775 0.45 1776 0.453 1777 0.407 1778 0.557 1779 0.512 1780 0.283 1781 0.612 1782 0.521 1783 0.526 1784 0.616 1785 0.661 1786 0.73 1787 0.815 1788 0.954 1789 0.888 1790 1.154 1791 1.353 1792 1.557 1793 1.447 1794 1.694 1795 1.588 1796 1.427 1797 1.116 1798 1.153 1799 1.059 1800 1.094 1801 1.135 1802 1.139 1803 1.218 1804 0.897 1805 0.872 1806 0.913 1807 0.791 1808 1.049 1809 0.63 1810 0.8 1811 0.832 1812 0.901 1813 0.865 1814 0.879 1815 0.828 1816 0.631 1817 1.014 1818 1.067 1819 1.1 1820 1.359 1821 1.231 1822 0.768 1823 1.123 1824 1.197 1825 1.193 1826 0.912 1827 1.107 1828 0.971 1829 1.091 1830 1.02 1831 1.055 1832 1.006 1833 0.868 1834 0.817 1835 0.863 1836 0.7 1837 0.732 1838 0.824 1839 0.651 1840 0.754 1841 0.675 1842 0.82 1843 0.792 1844 0.983 1845 0.839 1846 0.895 1847 1.067 1848 1.103 1849 1.025 1850 1.07 1851 0.943 1852 1.205 1853 1.335 1854 1.159 1855 1.418 1856 1.013 1857 1.562 1858 1.45 1859 1.178 1860 1.332 1861 1.148 1862 0.934 1863 1.015 1864 1.003 1865 1.034 1866 0.794 1867 1.08 1868 0.858 1869 0.943 1870 1.037 1871 0.877 1872 0.923 1873 1.027 1874 1.063 1875 1.03 1876 1.089 1877 1.219 1878 1.265 1879 1.18 1880 1.171 1881 1.158 1882 1.351 1883 1.134 1884 1.163 1885 1.13 1886 0.972 1887 0.998 1888 0.93 1889 1.009 1890 1.101 1891 1.128 1892 1.093 1893 1.006 1894 1.103 1895 1.043 1896 0.878 1897 1.067 1898 0.789 1899 0.414 1900 0.746 1901 0.622 1902 0.837 1903 0.797 1904 0.729 1905 0.733 1906 1.025 1907 0.909 1908 0.888 1909 0.761 1910 0.78 1911 1.044 1912 0.682 1913 0.982 1914 1.039 1915 1.088 1916 1.081 1917 0.992 1918 1.13 1919 0.855 1920 1.137 1921 1.244 1922 0.627 1923 1.116 1924 0.97 1925 1.115 1926 1.306 1927 1.297 1928 1.133 1929 1.108 1930 1.002 1931 0.783 1932 1.036 1933 0.952 1934 0.877 1935 1.151 1936 1.04 1937 1.121 1938 0.892 1939 1.058 1940 0.692 1941 0.882 1942 1.065 1943 1.336 1944 1.084 1945 0.975 1946 1.028 1947 0.867 1948 1.031 1949 0.724 1950 0.965 1951 0.998 1952 1.395 1953 1.306 1954 1.135 1955 1.264 1956 1.169 1957 1.251 1958 1.423 1959 1.381 1960 1.404 1961 0.99 1962 1.109 1963 0.948 1964 1.136 1965 0.83 1966 1.082 1967 1.007 1968 0.786 1969 0.726 1970 0.867 1971 0.974 1972 0.958 1973 0.814 1974 0.962 1975 0.788 1976 0.732 1977 0.863 1978 0.469 1979 0.761 1980 0.678 1981 0.698 1982 0.967 1983 0.811 1984 0.942 1985 1.011 1986 0.814 1987 0.955 1988 0.802 1989 0.928 1990 0.928 1991 0.891 1992 0.953 1993 0.821 1994 0.714 1995 0.646 1996 0.774 1997 0.96 1998 0.917 1999 0.954 2000 0.923 2001 0.977 2002 0.833