# northamerica_usa_wa074 - Hart's Pass N2 - 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/4130 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa074 - Hart's Pass N2 - 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: Hart's Pass N2 # Location: # Country: United States # Northernmost_Latitude: 48.73 # Southernmost_Latitude: 48.73 # Easternmost_Longitude: -120.65 # Westernmost_Longitude: -120.65 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa074B # Earliest_Year: 1670 # Most_Recent_Year: 1990 # 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":"5.90069828028","T2":"17.4837977835","M1":"0.0227849506635","M2":"0.376318632994"}} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1670 0.859 1671 0.972 1672 1.142 1673 1.333 1674 1.208 1675 1.129 1676 0.92 1677 1.288 1678 1.153 1679 1.263 1680 0.965 1681 0.807 1682 1.04 1683 1.016 1684 0.988 1685 0.936 1686 0.912 1687 1.139 1688 0.848 1689 0.97 1690 0.961 1691 0.927 1692 0.94 1693 0.752 1694 0.497 1695 0.751 1696 0.76 1697 0.747 1698 0.977 1699 0.762 1700 0.821 1701 0.719 1702 0.702 1703 0.71 1704 0.635 1705 1.071 1706 0.845 1707 0.9 1708 0.911 1709 0.735 1710 0.989 1711 0.881 1712 1.022 1713 0.844 1714 0.967 1715 0.562 1716 0.72 1717 0.981 1718 0.896 1719 0.879 1720 0.721 1721 0.98 1722 1.0 1723 0.904 1724 0.905 1725 0.951 1726 1.073 1727 1.071 1728 1.11 1729 1.247 1730 1.318 1731 1.167 1732 1.096 1733 0.98 1734 1.143 1735 1.133 1736 0.982 1737 0.893 1738 0.994 1739 1.08 1740 1.026 1741 1.109 1742 1.019 1743 1.082 1744 1.078 1745 1.303 1746 0.903 1747 1.2 1748 1.221 1749 1.219 1750 1.029 1751 1.117 1752 0.653 1753 1.047 1754 0.986 1755 0.893 1756 1.319 1757 1.281 1758 0.981 1759 0.988 1760 0.932 1761 0.98 1762 0.991 1763 1.02 1764 1.121 1765 0.828 1766 1.034 1767 1.272 1768 1.292 1769 1.353 1770 1.061 1771 1.152 1772 1.0 1773 1.428 1774 1.089 1775 0.653 1776 0.902 1777 1.074 1778 1.118 1779 1.11 1780 0.984 1781 1.215 1782 0.885 1783 1.281 1784 1.009 1785 1.045 1786 1.188 1787 1.193 1788 1.116 1789 0.905 1790 1.253 1791 1.029 1792 1.137 1793 0.964 1794 1.328 1795 1.375 1796 1.492 1797 1.258 1798 1.323 1799 0.799 1800 0.857 1801 1.1 1802 1.027 1803 0.957 1804 1.057 1805 1.013 1806 0.916 1807 1.093 1808 0.995 1809 1.089 1810 0.887 1811 1.312 1812 1.169 1813 0.992 1814 0.778 1815 0.848 1816 0.919 1817 1.135 1818 0.871 1819 0.892 1820 1.121 1821 1.068 1822 1.086 1823 1.061 1824 0.695 1825 0.949 1826 0.992 1827 1.061 1828 0.929 1829 1.058 1830 1.09 1831 1.201 1832 0.538 1833 0.985 1834 0.995 1835 0.937 1836 0.748 1837 0.803 1838 0.499 1839 0.94 1840 1.022 1841 1.007 1842 1.03 1843 0.962 1844 0.806 1845 0.849 1846 0.947 1847 0.705 1848 1.127 1849 0.866 1850 0.895 1851 1.042 1852 1.007 1853 0.966 1854 0.793 1855 0.978 1856 0.649 1857 0.849 1858 0.888 1859 1.156 1860 0.926 1861 0.849 1862 0.802 1863 1.238 1864 0.881 1865 1.228 1866 0.951 1867 0.782 1868 0.854 1869 0.919 1870 0.791 1871 0.964 1872 1.049 1873 1.039 1874 0.904 1875 1.041 1876 0.829 1877 0.812 1878 0.784 1879 0.841 1880 0.774 1881 0.734 1882 0.86 1883 0.931 1884 0.777 1885 0.945 1886 1.035 1887 0.969 1888 0.835 1889 0.924 1890 0.937 1891 1.088 1892 0.793 1893 0.951 1894 0.926 1895 0.835 1896 1.01 1897 0.789 1898 1.082 1899 0.843 1900 0.933 1901 1.091 1902 0.976 1903 1.074 1904 1.227 1905 1.105 1906 0.953 1907 1.104 1908 1.231 1909 0.965 1910 0.991 1911 1.027 1912 0.942 1913 1.006 1914 1.123 1915 0.914 1916 0.715 1917 1.081 1918 1.094 1919 1.092 1920 1.172 1921 1.07 1922 1.314 1923 1.027 1924 0.938 1925 1.015 1926 0.903 1927 0.918 1928 0.971 1929 1.047 1930 1.137 1931 1.168 1932 1.036 1933 1.352 1934 1.201 1935 1.274 1936 1.582 1937 1.466 1938 1.553 1939 1.266 1940 1.432 1941 1.222 1942 1.088 1943 1.081 1944 1.341 1945 1.559 1946 1.1 1947 1.118 1948 1.289 1949 1.172 1950 1.291 1951 1.181 1952 0.999 1953 0.97 1954 0.98 1955 1.061 1956 0.669 1957 0.681 1958 1.226 1959 1.081 1960 1.192 1961 1.101 1962 0.774 1963 0.824 1964 0.854 1965 0.987 1966 0.807 1967 1.014 1968 0.76 1969 0.712 1970 1.053 1971 0.879 1972 0.59 1973 0.815 1974 0.727 1975 0.848 1976 0.737 1977 0.894 1978 0.741 1979 0.766 1980 0.65 1981 0.754 1982 0.734 1983 0.583 1984 0.894 1985 0.872 1986 0.697 1987 0.841 1988 0.785 1989 0.797 1990 0.894