# northamerica_usa_ca070 - Felkner Ridge - 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/5228 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca070 - Felkner Ridge - 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: Felkner Ridge # Location: # Country: United States # Northernmost_Latitude: 39.5 # Southernmost_Latitude: 39.5 # Easternmost_Longitude: -122.67 # Westernmost_Longitude: -122.67 # Elevation: 1494 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca070B # Earliest_Year: 1603 # Most_Recent_Year: 1977 # 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":"3.99410641363","T2":"16.1434503967","M1":"0.0227840612485","M2":"0.520169051651"}} #-------------------- # Species # Species_Name: sugar pine # Species_Code: PILA #-------------------- # 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 1603 0.979 1604 0.785 1605 1.083 1606 0.92 1607 0.723 1608 0.969 1609 1.007 1610 1.291 1611 1.145 1612 1.168 1613 0.783 1614 1.099 1615 0.965 1616 0.833 1617 0.848 1618 0.937 1619 1.178 1620 1.106 1621 1.206 1622 1.199 1623 1.053 1624 0.963 1625 1.043 1626 0.722 1627 0.999 1628 0.614 1629 0.689 1630 1.046 1631 0.915 1632 1.204 1633 1.366 1634 1.363 1635 1.239 1636 1.257 1637 0.75 1638 0.679 1639 0.691 1640 0.976 1641 1.009 1642 1.147 1643 1.07 1644 1.205 1645 1.234 1646 1.139 1647 1.036 1648 1.115 1649 1.255 1650 1.068 1651 1.092 1652 1.103 1653 0.829 1654 1.129 1655 0.798 1656 0.99 1657 0.91 1658 1.046 1659 0.903 1660 0.956 1661 1.069 1662 0.871 1663 1.049 1664 0.94 1665 0.951 1666 0.934 1667 0.485 1668 1.156 1669 0.898 1670 0.829 1671 1.075 1672 0.925 1673 0.963 1674 1.201 1675 0.981 1676 0.927 1677 0.687 1678 1.065 1679 0.834 1680 0.948 1681 1.44 1682 1.081 1683 0.935 1684 1.058 1685 0.881 1686 0.685 1687 0.824 1688 0.819 1689 0.959 1690 0.915 1691 1.151 1692 0.952 1693 0.963 1694 1.054 1695 0.868 1696 0.866 1697 0.954 1698 0.982 1699 1.076 1700 1.107 1701 1.022 1702 1.535 1703 0.984 1704 1.184 1705 0.926 1706 0.867 1707 1.12 1708 0.996 1709 0.862 1710 0.809 1711 0.919 1712 1.055 1713 0.82 1714 0.955 1715 1.026 1716 1.106 1717 0.974 1718 1.028 1719 0.763 1720 0.924 1721 1.017 1722 1.109 1723 0.995 1724 1.025 1725 0.94 1726 1.136 1727 1.283 1728 0.74 1729 0.689 1730 0.929 1731 0.731 1732 1.029 1733 0.697 1734 1.12 1735 0.872 1736 0.959 1737 1.034 1738 1.099 1739 1.385 1740 1.248 1741 0.982 1742 1.147 1743 1.021 1744 1.154 1745 1.228 1746 1.031 1747 0.961 1748 0.843 1749 1.079 1750 1.054 1751 0.902 1752 1.173 1753 0.923 1754 0.886 1755 1.222 1756 0.694 1757 0.75 1758 0.906 1759 0.891 1760 0.93 1761 1.168 1762 0.947 1763 0.967 1764 0.715 1765 0.962 1766 1.077 1767 1.086 1768 1.068 1769 1.215 1770 1.256 1771 0.882 1772 1.102 1773 1.221 1774 1.141 1775 1.164 1776 0.784 1777 0.868 1778 0.797 1779 0.749 1780 0.971 1781 0.821 1782 0.859 1783 0.992 1784 1.203 1785 1.217 1786 1.315 1787 1.144 1788 0.937 1789 1.019 1790 1.134 1791 1.304 1792 1.325 1793 1.427 1794 0.928 1795 0.975 1796 1.157 1797 0.828 1798 0.821 1799 1.066 1800 0.783 1801 0.858 1802 0.731 1803 1.023 1804 1.094 1805 1.178 1806 1.128 1807 1.021 1808 1.192 1809 1.167 1810 1.064 1811 1.129 1812 1.278 1813 1.041 1814 1.204 1815 1.059 1816 1.232 1817 0.972 1818 1.112 1819 1.177 1820 0.997 1821 0.911 1822 0.813 1823 0.873 1824 0.736 1825 0.937 1826 0.772 1827 0.918 1828 1.094 1829 0.098 1830 0.82 1831 0.667 1832 0.856 1833 0.843 1834 0.851 1835 1.004 1836 0.962 1837 0.96 1838 1.035 1839 1.02 1840 0.893 1841 0.852 1842 0.947 1843 0.795 1844 0.667 1845 1.047 1846 0.843 1847 0.832 1848 0.869 1849 0.746 1850 0.606 1851 0.843 1852 0.832 1853 0.964 1854 1.015 1855 1.032 1856 0.922 1857 1.014 1858 0.877 1859 0.591 1860 1.023 1861 1.044 1862 0.968 1863 1.049 1864 0.973 1865 0.689 1866 1.064 1867 0.798 1868 1.096 1869 1.177 1870 0.866 1871 0.807 1872 0.937 1873 0.731 1874 0.807 1875 0.837 1876 0.899 1877 0.9 1878 0.94 1879 1.204 1880 0.967 1881 1.087 1882 0.823 1883 0.992 1884 1.201 1885 1.014 1886 1.04 1887 1.066 1888 1.093 1889 0.957 1890 0.947 1891 0.964 1892 1.081 1893 0.804 1894 1.002 1895 1.051 1896 1.07 1897 1.077 1898 0.937 1899 1.004 1900 1.213 1901 1.252 1902 1.151 1903 0.978 1904 0.952 1905 1.08 1906 0.965 1907 1.164 1908 1.058 1909 0.907 1910 0.878 1911 1.022 1912 0.943 1913 1.056 1914 1.097 1915 1.284 1916 1.078 1917 0.858 1918 0.616 1919 0.822 1920 0.664 1921 0.948 1922 0.676 1923 0.982 1924 0.463 1925 0.913 1926 0.956 1927 1.014 1928 0.902 1929 0.775 1930 1.01 1931 1.12 1932 0.971 1933 0.894 1934 1.273 1935 0.816 1936 0.986 1937 0.901 1938 1.1 1939 0.833 1940 1.124 1941 1.294 1942 1.326 1943 1.318 1944 1.356 1945 1.027 1946 1.034 1947 1.176 1948 1.172 1949 1.106 1950 1.031 1951 1.241 1952 1.025 1953 1.02 1954 1.124 1955 0.991 1956 1.018 1957 1.245 1958 1.222 1959 0.849 1960 1.239 1961 1.05 1962 0.866 1963 1.157 1964 0.816 1965 1.005 1966 0.822 1967 0.926 1968 0.943 1969 1.087 1970 0.85 1971 1.112 1972 1.028 1973 0.741 1974 0.963 1975 0.812 1976 0.61 1977 0.596