# northamerica_usa_ak024 - Rock Glacier - 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/5248 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak024 - Rock Glacier - 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: Rock Glacier # Location: # Country: United States # Northernmost_Latitude: 60.07 # Southernmost_Latitude: 60.07 # Easternmost_Longitude: -148.83 # Westernmost_Longitude: -148.83 # Elevation: 420 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak024B # Earliest_Year: 1673 # Most_Recent_Year: 1991 # 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":"4.01180347607","T2":"17.6923728893","M1":"0.0225151412912","M2":"0.38215141405"}} #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # 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 1673 1.338 1674 0.735 1675 1.288 1676 0.652 1677 0.351 1678 0.352 1679 0.387 1680 0.664 1681 0.914 1682 1.146 1683 1.623 1684 1.518 1685 1.378 1686 1.596 1687 1.366 1688 1.784 1689 1.314 1690 1.111 1691 0.903 1692 0.875 1693 1.017 1694 1.113 1695 1.024 1696 0.773 1697 0.571 1698 0.251 1699 0.009 1700 0.684 1701 0.675 1702 0.881 1703 0.776 1704 1.041 1705 1.058 1706 0.628 1707 0.636 1708 0.472 1709 0.778 1710 0.54 1711 0.548 1712 0.781 1713 1.028 1714 0.751 1715 1.529 1716 0.767 1717 0.492 1718 1.129 1719 1.07 1720 1.224 1721 1.16 1722 1.554 1723 1.379 1724 1.316 1725 1.392 1726 0.738 1727 0.795 1728 1.258 1729 1.085 1730 0.888 1731 0.703 1732 1.413 1733 1.329 1734 0.883 1735 0.687 1736 0.704 1737 0.876 1738 0.811 1739 1.261 1740 0.648 1741 0.533 1742 0.467 1743 0.461 1744 0.207 1745 0.635 1746 0.601 1747 0.976 1748 0.861 1749 1.147 1750 1.201 1751 1.086 1752 0.648 1753 0.832 1754 0.328 1755 0.466 1756 0.462 1757 0.591 1758 0.713 1759 0.48 1760 0.717 1761 0.367 1762 0.675 1763 0.935 1764 0.693 1765 1.315 1766 0.833 1767 1.172 1768 0.74 1769 0.804 1770 0.796 1771 0.608 1772 1.227 1773 1.066 1774 1.306 1775 0.894 1776 0.798 1777 0.887 1778 0.567 1779 0.979 1780 0.611 1781 0.853 1782 0.881 1783 1.084 1784 1.142 1785 1.384 1786 0.844 1787 0.922 1788 0.926 1789 0.914 1790 1.017 1791 1.15 1792 1.424 1793 1.098 1794 0.857 1795 1.755 1796 1.107 1797 1.804 1798 1.198 1799 1.577 1800 0.474 1801 1.098 1802 0.788 1803 0.92 1804 1.246 1805 1.475 1806 1.34 1807 0.936 1808 1.098 1809 0.697 1810 0.78 1811 0.661 1812 0.673 1813 0.508 1814 0.205 1815 0.536 1816 0.942 1817 1.051 1818 0.954 1819 0.915 1820 1.277 1821 0.988 1822 0.992 1823 1.33 1824 1.374 1825 1.459 1826 1.432 1827 0.838 1828 1.688 1829 1.7 1830 1.19 1831 0.672 1832 1.163 1833 1.116 1834 0.819 1835 0.834 1836 0.924 1837 0.358 1838 1.334 1839 1.574 1840 1.353 1841 1.912 1842 0.951 1843 0.932 1844 1.31 1845 1.105 1846 1.302 1847 0.982 1848 0.823 1849 0.531 1850 0.771 1851 0.699 1852 0.992 1853 1.088 1854 0.68 1855 0.871 1856 0.494 1857 1.063 1858 1.051 1859 0.853 1860 0.791 1861 0.646 1862 0.541 1863 0.444 1864 0.842 1865 0.893 1866 1.175 1867 1.2 1868 0.989 1869 0.763 1870 1.264 1871 0.831 1872 1.6 1873 1.674 1874 1.189 1875 1.168 1876 0.813 1877 0.611 1878 0.652 1879 0.621 1880 0.553 1881 0.725 1882 0.694 1883 0.581 1884 1.201 1885 1.116 1886 0.768 1887 0.453 1888 0.856 1889 0.64 1890 1.154 1891 1.193 1892 1.232 1893 1.067 1894 0.367 1895 0.32 1896 0.47 1897 0.63 1898 0.733 1899 0.767 1900 0.883 1901 0.803 1902 0.793 1903 0.536 1904 0.526 1905 1.066 1906 0.953 1907 0.888 1908 0.546 1909 1.081 1910 0.869 1911 0.969 1912 0.947 1913 1.01 1914 1.023 1915 1.512 1916 1.114 1917 1.198 1918 0.936 1919 0.736 1920 0.966 1921 0.988 1922 0.934 1923 1.222 1924 1.417 1925 1.615 1926 1.956 1927 1.091 1928 0.808 1929 0.682 1930 1.189 1931 1.118 1932 1.345 1933 1.371 1934 1.211 1935 1.278 1936 1.204 1937 0.849 1938 0.823 1939 0.894 1940 1.285 1941 1.613 1942 1.823 1943 1.524 1944 0.489 1945 0.651 1946 0.783 1947 1.462 1948 1.208 1949 1.207 1950 1.091 1951 0.982 1952 0.903 1953 1.102 1954 0.699 1955 0.514 1956 0.629 1957 1.29 1958 0.98 1959 1.011 1960 0.973 1961 1.074 1962 1.089 1963 1.237 1964 0.986 1965 0.855 1966 1.046 1967 0.656 1968 0.935 1969 0.983 1970 0.901 1971 0.98 1972 0.583 1973 0.369 1974 0.632 1975 0.656 1976 0.675 1977 0.887 1978 0.746 1979 1.02 1980 0.867 1981 1.465 1982 1.273 1983 1.356 1984 1.332 1985 1.047 1986 1.108 1987 0.971 1988 1.314 1989 1.195 1990 0.82 1991 0.863