# northamerica_usa_ar074 - Gee 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/4959 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ar074 - Gee 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: Gee Creek # Location: # Country: United States # Northernmost_Latitude: 35.68 # Southernmost_Latitude: 35.68 # Easternmost_Longitude: -93.3 # Westernmost_Longitude: -93.3 # Elevation: 500 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ar074B # Earliest_Year: 1600 # Most_Recent_Year: 2003 # 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":"4.11267493263","T2":"18.2659055637","M1":"0.0227133970002","M2":"0.573076069422"}} #-------------------- # Species # Species_Name: shortleaf pine # Species_Code: PIEC #-------------------- # 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 1600 0.913 1601 0.796 1602 0.81 1603 0.75 1604 1.499 1605 1.21 1606 1.396 1607 1.072 1608 1.184 1609 2.005 1610 1.419 1611 0.616 1612 1.125 1613 0.702 1614 0.514 1615 0.645 1616 0.758 1617 0.712 1618 0.667 1619 0.657 1620 0.895 1621 0.62 1622 1.014 1623 0.799 1624 0.671 1625 0.888 1626 0.463 1627 0.593 1628 0.717 1629 0.901 1630 0.589 1631 0.688 1632 0.596 1633 0.801 1634 1.008 1635 0.898 1636 0.942 1637 0.873 1638 0.902 1639 1.416 1640 1.453 1641 1.785 1642 0.95 1643 1.154 1644 1.384 1645 1.555 1646 1.168 1647 1.44 1648 1.96 1649 1.307 1650 1.124 1651 1.246 1652 1.035 1653 0.761 1654 0.548 1655 0.496 1656 0.949 1657 1.301 1658 1.082 1659 0.711 1660 0.689 1661 0.941 1662 0.872 1663 0.54 1664 0.592 1665 0.793 1666 0.613 1667 0.464 1668 0.613 1669 1.181 1670 0.864 1671 0.772 1672 1.164 1673 1.155 1674 1.147 1675 0.739 1676 0.885 1677 1.061 1678 1.177 1679 1.102 1680 1.034 1681 0.708 1682 1.191 1683 1.19 1684 1.009 1685 0.645 1686 0.865 1687 0.667 1688 0.911 1689 1.015 1690 1.453 1691 0.363 1692 1.204 1693 1.774 1694 0.642 1695 1.04 1696 0.869 1697 0.815 1698 1.406 1699 0.855 1700 1.264 1701 0.895 1702 1.123 1703 0.922 1704 0.863 1705 0.859 1706 1.059 1707 0.989 1708 0.73 1709 0.588 1710 0.775 1711 0.837 1712 1.07 1713 1.06 1714 1.533 1715 1.489 1716 0.995 1717 0.687 1718 0.815 1719 0.965 1720 1.042 1721 0.845 1722 0.713 1723 0.956 1724 0.548 1725 0.655 1726 0.898 1727 0.772 1728 1.284 1729 2.217 1730 1.693 1731 1.014 1732 1.155 1733 1.158 1734 1.006 1735 0.711 1736 0.561 1737 0.655 1738 1.219 1739 1.655 1740 1.274 1741 1.037 1742 0.775 1743 1.356 1744 1.563 1745 1.397 1746 1.165 1747 0.728 1748 0.889 1749 0.875 1750 0.703 1751 0.68 1752 0.336 1753 0.301 1754 0.423 1755 0.984 1756 0.399 1757 1.054 1758 0.8 1759 0.8 1760 0.803 1761 1.133 1762 0.592 1763 0.511 1764 0.869 1765 0.707 1766 0.859 1767 0.512 1768 0.662 1769 0.628 1770 0.956 1771 1.582 1772 0.673 1773 0.427 1774 0.909 1775 1.149 1776 1.312 1777 1.561 1778 1.648 1779 1.818 1780 0.882 1781 1.608 1782 0.937 1783 1.416 1784 0.619 1785 0.67 1786 0.7 1787 1.096 1788 0.588 1789 0.293 1790 0.44 1791 0.626 1792 0.545 1793 0.587 1794 0.778 1795 1.1 1796 1.151 1797 0.952 1798 1.095 1799 0.62 1800 0.661 1801 0.77 1802 1.161 1803 1.006 1804 1.063 1805 1.119 1806 0.915 1807 0.958 1808 1.43 1809 0.949 1810 0.761 1811 0.832 1812 1.223 1813 1.181 1814 1.167 1815 1.675 1816 1.233 1817 1.266 1818 0.735 1819 1.26 1820 0.868 1821 0.88 1822 0.825 1823 0.856 1824 0.926 1825 1.047 1826 1.267 1827 1.215 1828 1.183 1829 1.257 1830 1.588 1831 1.379 1832 1.25 1833 1.291 1834 1.027 1835 1.299 1836 1.511 1837 1.142 1838 0.63 1839 1.114 1840 0.776 1841 0.626 1842 1.261 1843 0.844 1844 0.947 1845 1.177 1846 1.207 1847 0.926 1848 0.686 1849 1.071 1850 1.056 1851 0.68 1852 0.959 1853 0.754 1854 0.942 1855 0.854 1856 0.547 1857 0.662 1858 1.106 1859 1.414 1860 1.132 1861 1.476 1862 0.957 1863 1.058 1864 1.193 1865 1.097 1866 1.152 1867 0.897 1868 0.916 1869 0.608 1870 0.863 1871 1.081 1872 1.305 1873 1.073 1874 0.252 1875 0.205 1876 0.614 1877 1.008 1878 1.431 1879 0.921 1880 1.112 1881 0.83 1882 1.72 1883 1.205 1884 1.239 1885 0.507 1886 0.608 1887 0.611 1888 0.826 1889 1.109 1890 0.676 1891 0.812 1892 1.227 1893 1.713 1894 1.417 1895 0.961 1896 0.684 1897 0.694 1898 1.205 1899 0.669 1900 0.693 1901 0.376 1902 0.685 1903 0.466 1904 0.961 1905 0.791 1906 0.788 1907 0.552 1908 0.798 1909 1.17 1910 1.264 1911 1.042 1912 0.551 1913 0.514 1914 0.629 1915 0.647 1916 0.584 1917 1.134 1918 0.816 1919 1.308 1920 1.008 1921 1.103 1922 0.927 1923 1.473 1924 1.343 1925 0.861 1926 1.459 1927 1.869 1928 0.923 1929 1.035 1930 1.31 1931 1.178 1932 1.221 1933 0.986 1934 1.026 1935 0.749 1936 1.121 1937 1.315 1938 1.617 1939 1.829 1940 1.432 1941 1.534 1942 1.222 1943 0.87 1944 0.676 1945 1.38 1946 1.409 1947 1.517 1948 1.484 1949 1.676 1950 1.794 1951 1.471 1952 0.69 1953 0.626 1954 0.584 1955 0.607 1956 1.002 1957 1.4 1958 1.694 1959 1.426 1960 1.167 1961 0.871 1962 0.79 1963 0.65 1964 0.575 1965 0.731 1966 0.776 1967 1.087 1968 0.718 1969 0.894 1970 1.199 1971 1.897 1972 1.705 1973 1.084 1974 1.1 1975 1.34 1976 0.993 1977 0.697 1978 0.505 1979 0.427 1980 0.85 1981 0.529 1982 0.704 1983 1.109 1984 0.815 1985 0.689 1986 0.644 1987 0.502 1988 0.6 1989 0.777 1990 0.793 1991 0.56 1992 0.566 1993 0.783 1994 0.642 1995 0.939 1996 0.678 1997 0.914 1998 1.107 1999 0.838 2000 0.804 2001 0.971 2002 1.041 2003 1.141