# northamerica_usa_az513 - Beaver Creek - 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/3342 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az513 - Beaver Creek - 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: Beaver Creek # Location: # Country: United States # Northernmost_Latitude: 33.7 # Southernmost_Latitude: 33.7 # Easternmost_Longitude: -109.23 # Westernmost_Longitude: -109.23 # Elevation: 2392 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az513B # Earliest_Year: 1611 # 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":"3.0091789896","T2":"15.2166035893","M1":"0.0234811324417","M2":"0.486076962855"}} #-------------------- # 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 1611 1.108 1612 1.18 1613 1.024 1614 1.368 1615 1.221 1616 1.17 1617 1.201 1618 1.389 1619 0.731 1620 0.551 1621 0.707 1622 0.731 1623 0.549 1624 0.675 1625 1.339 1626 0.53 1627 1.042 1628 1.051 1629 1.508 1630 1.385 1631 1.251 1632 0.93 1633 1.643 1634 1.312 1635 1.258 1636 1.532 1637 1.149 1638 1.263 1639 1.148 1640 1.115 1641 0.88 1642 1.258 1643 1.32 1644 1.116 1645 0.882 1646 0.675 1647 1.083 1648 0.549 1649 0.745 1650 1.145 1651 0.553 1652 0.956 1653 0.677 1654 0.631 1655 0.972 1656 0.982 1657 1.04 1658 0.88 1659 0.972 1660 0.953 1661 1.247 1662 1.222 1663 1.077 1664 0.813 1665 1.041 1666 0.968 1667 0.511 1668 0.656 1669 1.003 1670 0.714 1671 1.043 1672 1.088 1673 0.821 1674 1.109 1675 1.164 1676 1.003 1677 0.866 1678 0.808 1679 0.882 1680 1.023 1681 0.74 1682 0.622 1683 0.948 1684 0.904 1685 0.822 1686 1.446 1687 1.228 1688 1.252 1689 1.258 1690 1.21 1691 1.178 1692 1.225 1693 0.984 1694 1.212 1695 1.074 1696 0.82 1697 0.976 1698 1.031 1699 1.219 1700 1.135 1701 0.408 1702 0.575 1703 0.624 1704 0.644 1705 0.815 1706 0.871 1707 0.612 1708 0.599 1709 0.6 1710 0.908 1711 0.43 1712 0.665 1713 0.89 1714 0.958 1715 0.881 1716 0.769 1717 0.958 1718 1.007 1719 0.655 1720 0.963 1721 0.598 1722 1.058 1723 1.072 1724 0.923 1725 1.406 1726 1.518 1727 0.623 1728 0.693 1729 0.763 1730 1.586 1731 1.055 1732 1.295 1733 0.855 1734 0.935 1735 0.781 1736 1.285 1737 1.17 1738 1.309 1739 1.132 1740 1.038 1741 1.361 1742 1.293 1743 1.011 1744 1.019 1745 1.018 1746 0.903 1747 0.95 1748 0.47 1749 1.28 1750 1.274 1751 1.294 1752 0.695 1753 0.825 1754 1.263 1755 1.101 1756 0.658 1757 0.974 1758 1.379 1759 0.963 1760 0.932 1761 1.195 1762 0.945 1763 0.816 1764 1.019 1765 1.181 1766 1.133 1767 0.915 1768 0.934 1769 0.754 1770 1.057 1771 1.228 1772 0.986 1773 0.622 1774 0.847 1775 1.121 1776 1.181 1777 0.94 1778 1.529 1779 1.056 1780 0.837 1781 0.906 1782 0.661 1783 1.171 1784 1.419 1785 1.043 1786 1.179 1787 1.185 1788 0.834 1789 0.984 1790 1.552 1791 1.235 1792 1.115 1793 1.132 1794 0.739 1795 0.893 1796 0.881 1797 0.965 1798 1.011 1799 1.433 1800 1.233 1801 0.882 1802 0.942 1803 1.037 1804 1.16 1805 1.046 1806 0.941 1807 0.949 1808 1.042 1809 1.171 1810 0.852 1811 0.995 1812 0.894 1813 0.68 1814 1.004 1815 0.782 1816 0.737 1817 0.32 1818 0.168 1819 0.226 1820 0.688 1821 0.585 1822 0.674 1823 0.758 1824 0.942 1825 0.949 1826 1.395 1827 1.204 1828 1.286 1829 0.901 1830 1.036 1831 0.974 1832 1.222 1833 1.07 1834 0.885 1835 0.96 1836 0.903 1837 0.662 1838 0.527 1839 0.825 1840 0.744 1841 0.618 1842 0.607 1843 1.11 1844 1.197 1845 1.329 1846 0.976 1847 0.543 1848 1.132 1849 0.726 1850 0.677 1851 0.663 1852 0.963 1853 0.993 1854 1.152 1855 0.828 1856 1.027 1857 0.836 1858 1.198 1859 0.673 1860 1.008 1861 0.588 1862 0.737 1863 0.841 1864 0.622 1865 0.888 1866 1.06 1867 0.721 1868 1.221 1869 1.081 1870 1.309 1871 0.386 1872 0.659 1873 0.557 1874 0.743 1875 1.127 1876 0.901 1877 1.236 1878 1.538 1879 1.119 1880 1.055 1881 1.396 1882 0.836 1883 0.853 1884 0.922 1885 1.128 1886 0.709 1887 0.977 1888 0.896 1889 1.007 1890 1.067 1891 0.822 1892 0.687 1893 0.963 1894 0.269 1895 0.98 1896 1.071 1897 1.048 1898 1.286 1899 1.322 1900 0.709 1901 1.537 1902 1.071 1903 1.338 1904 0.783 1905 1.43 1906 1.229 1907 1.968 1908 2.137 1909 1.449 1910 1.204 1911 1.639 1912 1.483 1913 0.963 1914 1.667 1915 1.223 1916 1.55 1917 1.44 1918 1.445 1919 1.282 1920 1.106 1921 1.591 1922 0.947 1923 0.803 1924 1.278 1925 0.778 1926 0.95 1927 1.041 1928 1.149 1929 1.144 1930 1.061 1931 0.907 1932 0.786 1933 0.728 1934 0.646 1935 0.865 1936 0.957 1937 0.852 1938 0.94 1939 0.72 1940 0.92 1941 1.286 1942 1.181 1943 1.057 1944 1.081 1945 1.1 1946 0.554 1947 0.883 1948 0.699 1949 1.057 1950 0.611 1951 0.389 1952 1.126 1953 0.957 1954 0.955 1955 0.57 1956 0.544 1957 1.109 1958 0.952 1959 0.922 1960 0.902 1961 0.698 1962 1.065 1963 0.878 1964 0.852 1965 0.982 1966 0.791 1967 0.905 1968 0.851 1969 0.834 1970 1.019 1971 0.253 1972 1.012 1973 0.986 1974 0.64 1975 0.988 1976 1.055 1977 0.926 1978 0.912 1979 1.25 1980 1.353 1981 1.537 1982 1.573 1983 1.379 1984 1.13 1985 1.514 1986 1.675