# northamerica_usa_ne008 - Ash Canyon - 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/5281 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ne008 - Ash Canyon - 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: Ash Canyon # Location: # Country: United States # Northernmost_Latitude: 42.63 # Southernmost_Latitude: 42.63 # Easternmost_Longitude: -103.25 # Westernmost_Longitude: -103.25 # Elevation: 1280 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ne008B # Earliest_Year: 1640 # Most_Recent_Year: 1997 # 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":"3.86708064218","T2":"16.2683520641","M1":"0.0229738953368","M2":"0.480872789249"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1640 0.674 1641 0.954 1642 1.072 1643 1.231 1644 1.15 1645 0.521 1646 1.269 1647 1.053 1648 0.92 1649 0.769 1650 0.595 1651 0.703 1652 1.045 1653 1.269 1654 0.511 1655 1.028 1656 1.235 1657 1.217 1658 1.286 1659 1.048 1660 0.84 1661 1.164 1662 0.831 1663 1.004 1664 0.838 1665 0.838 1666 1.389 1667 1.228 1668 0.675 1669 1.253 1670 0.877 1671 0.638 1672 0.916 1673 1.371 1674 1.28 1675 1.352 1676 1.649 1677 1.199 1678 1.234 1679 0.715 1680 1.173 1681 1.079 1682 1.331 1683 1.814 1684 1.15 1685 1.234 1686 1.241 1687 1.419 1688 1.019 1689 0.652 1690 0.605 1691 0.9 1692 1.148 1693 0.984 1694 1.083 1695 1.26 1696 1.06 1697 1.271 1698 0.986 1699 1.535 1700 1.574 1701 1.235 1702 1.493 1703 1.422 1704 0.952 1705 1.115 1706 0.856 1707 0.83 1708 0.764 1709 0.775 1710 0.677 1711 0.561 1712 0.624 1713 0.965 1714 1.486 1715 1.633 1716 2.121 1717 0.968 1718 0.633 1719 1.01 1720 0.858 1721 0.654 1722 0.958 1723 0.961 1724 0.752 1725 0.772 1726 0.959 1727 0.967 1728 1.013 1729 1.395 1730 1.145 1731 0.979 1732 1.277 1733 0.821 1734 0.447 1735 0.39 1736 0.372 1737 0.801 1738 1.042 1739 0.927 1740 1.211 1741 0.612 1742 0.59 1743 0.592 1744 0.621 1745 0.463 1746 0.705 1747 0.66 1748 1.042 1749 0.956 1750 1.068 1751 0.64 1752 0.703 1753 0.635 1754 0.703 1755 0.468 1756 0.24 1757 0.322 1758 0.362 1759 0.417 1760 0.445 1761 0.858 1762 0.909 1763 1.022 1764 1.177 1765 1.195 1766 1.592 1767 1.241 1768 1.483 1769 0.94 1770 1.096 1771 1.175 1772 1.02 1773 1.027 1774 1.291 1775 1.549 1776 1.5 1777 1.561 1778 1.571 1779 0.963 1780 1.769 1781 1.381 1782 1.017 1783 1.266 1784 0.94 1785 0.875 1786 1.375 1787 1.101 1788 0.826 1789 0.625 1790 0.91 1791 0.769 1792 1.133 1793 1.126 1794 1.275 1795 1.301 1796 0.824 1797 0.964 1798 0.82 1799 1.199 1800 0.801 1801 0.832 1802 0.976 1803 0.933 1804 0.849 1805 1.033 1806 1.337 1807 0.99 1808 0.917 1809 1.158 1810 0.969 1811 1.014 1812 0.89 1813 0.896 1814 0.85 1815 0.876 1816 1.124 1817 0.582 1818 0.583 1819 0.754 1820 0.99 1821 1.132 1822 0.753 1823 0.865 1824 0.375 1825 0.905 1826 0.614 1827 0.839 1828 1.095 1829 1.003 1830 1.438 1831 1.006 1832 1.043 1833 1.169 1834 1.466 1835 0.823 1836 0.977 1837 1.09 1838 1.131 1839 1.328 1840 1.517 1841 1.388 1842 1.128 1843 1.144 1844 1.641 1845 0.964 1846 0.744 1847 0.558 1848 0.289 1849 0.841 1850 0.853 1851 0.95 1852 0.86 1853 1.061 1854 1.128 1855 0.865 1856 0.856 1857 0.8 1858 1.424 1859 1.118 1860 1.183 1861 0.971 1862 0.946 1863 0.608 1864 0.846 1865 0.602 1866 0.663 1867 0.829 1868 0.939 1869 1.116 1870 0.803 1871 0.79 1872 0.639 1873 0.658 1874 0.498 1875 0.392 1876 0.409 1877 0.718 1878 1.158 1879 1.145 1880 0.474 1881 0.706 1882 1.245 1883 0.955 1884 1.076 1885 1.149 1886 0.863 1887 1.263 1888 1.648 1889 0.969 1890 1.096 1891 1.389 1892 1.024 1893 0.832 1894 1.235 1895 0.946 1896 0.664 1897 0.852 1898 0.869 1899 0.725 1900 0.376 1901 0.684 1902 1.033 1903 1.248 1904 0.913 1905 1.178 1906 1.315 1907 1.662 1908 1.512 1909 1.099 1910 0.771 1911 0.677 1912 1.111 1913 1.079 1914 0.797 1915 1.48 1916 1.276 1917 0.807 1918 1.399 1919 1.431 1920 0.945 1921 1.503 1922 1.427 1923 1.414 1924 1.76 1925 1.648 1926 1.652 1927 1.469 1928 1.79 1929 1.288 1930 1.52 1931 0.793 1932 0.933 1933 0.975 1934 0.244 1935 0.706 1936 0.189 1937 0.604 1938 0.751 1939 0.137 1940 0.39 1941 0.543 1942 0.593 1943 0.582 1944 0.718 1945 1.212 1946 1.243 1947 1.719 1948 1.801 1949 1.307 1950 0.861 1951 0.94 1952 0.579 1953 1.107 1954 0.953 1955 0.946 1956 0.689 1957 1.096 1958 1.282 1959 0.429 1960 0.821 1961 0.638 1962 1.091 1963 0.81 1964 0.652 1965 1.023 1966 0.592 1967 0.74 1968 1.103 1969 0.759 1970 0.87 1971 1.485 1972 1.573 1973 1.012 1974 1.274 1975 1.315 1976 1.631 1977 1.204 1978 0.869 1979 0.497 1980 0.9 1981 0.518 1982 0.867 1983 1.031 1984 1.112 1985 0.45 1986 1.401 1987 0.836 1988 0.799 1989 0.492 1990 0.975 1991 0.952 1992 0.626 1993 0.572 1994 0.878 1995 1.164 1996 1.344 1997 1.123