# northamerica_usa_ca079 - Snow White 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/3551 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca079 - Snow White 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: Snow White Ridge # Location: # Country: United States # Northernmost_Latitude: 38.13 # Southernmost_Latitude: 38.13 # Easternmost_Longitude: -120.05 # Westernmost_Longitude: -120.05 # Elevation: 1731 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca079B # Earliest_Year: 1621 # Most_Recent_Year: 1980 # 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":"3.57109249242","T2":"14.9384658297","M1":"0.0222344302492","M2":"0.447882166088"}} #-------------------- # 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 1621 1.244 1622 0.998 1623 0.866 1624 1.039 1625 1.049 1626 1.032 1627 0.835 1628 0.848 1629 0.703 1630 0.828 1631 0.826 1632 0.755 1633 1.008 1634 0.843 1635 1.062 1636 1.151 1637 0.801 1638 0.949 1639 0.982 1640 0.655 1641 1.284 1642 1.432 1643 1.008 1644 1.182 1645 1.155 1646 0.817 1647 1.216 1648 0.801 1649 1.02 1650 0.92 1651 0.978 1652 0.923 1653 0.832 1654 1.138 1655 0.637 1656 0.926 1657 0.631 1658 0.952 1659 0.782 1660 0.637 1661 0.995 1662 0.764 1663 1.093 1664 0.747 1665 0.952 1666 1.066 1667 0.98 1668 1.032 1669 0.923 1670 0.858 1671 1.139 1672 1.249 1673 1.614 1674 1.346 1675 1.352 1676 0.777 1677 0.798 1678 1.233 1679 1.027 1680 0.991 1681 1.807 1682 1.106 1683 1.038 1684 1.123 1685 1.005 1686 0.761 1687 0.947 1688 1.222 1689 0.857 1690 0.787 1691 1.017 1692 1.114 1693 0.832 1694 0.874 1695 0.931 1696 0.835 1697 1.065 1698 0.803 1699 1.016 1700 1.157 1701 0.904 1702 1.32 1703 0.796 1704 0.716 1705 1.112 1706 0.813 1707 0.907 1708 0.8 1709 0.877 1710 0.9 1711 0.708 1712 0.973 1713 1.036 1714 1.041 1715 0.967 1716 1.049 1717 0.95 1718 0.814 1719 0.847 1720 0.905 1721 0.902 1722 1.144 1723 1.458 1724 1.145 1725 0.921 1726 1.275 1727 1.172 1728 1.127 1729 0.829 1730 1.182 1731 1.141 1732 1.001 1733 0.8 1734 0.813 1735 1.042 1736 0.891 1737 0.927 1738 1.203 1739 1.051 1740 0.83 1741 0.902 1742 1.046 1743 0.904 1744 0.925 1745 0.984 1746 1.168 1747 1.022 1748 0.744 1749 1.413 1750 1.141 1751 1.031 1752 1.019 1753 0.868 1754 0.697 1755 1.223 1756 0.68 1757 0.686 1758 0.81 1759 0.942 1760 0.742 1761 1.223 1762 0.929 1763 0.836 1764 0.845 1765 0.946 1766 1.002 1767 0.872 1768 1.053 1769 0.846 1770 1.216 1771 0.871 1772 1.291 1773 1.289 1774 0.992 1775 1.151 1776 0.995 1777 0.864 1778 0.771 1779 0.85 1780 0.939 1781 0.754 1782 0.786 1783 0.697 1784 0.821 1785 0.925 1786 0.896 1787 0.769 1788 0.677 1789 0.886 1790 1.002 1791 1.269 1792 1.414 1793 1.167 1794 1.105 1795 0.819 1796 0.759 1797 0.972 1798 0.834 1799 1.132 1800 1.075 1801 0.883 1802 0.928 1803 1.285 1804 1.3 1805 1.278 1806 1.109 1807 0.899 1808 1.181 1809 1.233 1810 1.415 1811 1.165 1812 1.422 1813 1.203 1814 1.66 1815 1.197 1816 1.455 1817 0.956 1818 1.27 1819 1.162 1820 1.123 1821 0.87 1822 0.817 1823 0.849 1824 0.756 1825 0.944 1826 1.109 1827 0.846 1828 1.185 1829 0.961 1830 0.715 1831 0.837 1832 1.305 1833 0.761 1834 0.645 1835 0.905 1836 0.87 1837 1.014 1838 1.092 1839 1.032 1840 1.038 1841 0.936 1842 0.786 1843 0.794 1844 0.732 1845 1.339 1846 0.745 1847 0.713 1848 0.772 1849 0.64 1850 0.685 1851 0.79 1852 0.766 1853 0.922 1854 0.847 1855 1.085 1856 0.873 1857 0.967 1858 0.723 1859 0.503 1860 1.022 1861 1.014 1862 0.632 1863 0.813 1864 0.819 1865 0.629 1866 0.98 1867 0.872 1868 1.281 1869 1.117 1870 1.176 1871 1.258 1872 1.224 1873 1.229 1874 0.972 1875 1.307 1876 1.065 1877 1.313 1878 1.103 1879 1.233 1880 0.95 1881 1.204 1882 0.95 1883 1.134 1884 1.255 1885 1.781 1886 1.123 1887 1.148 1888 1.19 1889 1.119 1890 0.975 1891 1.186 1892 1.178 1893 1.117 1894 1.279 1895 1.108 1896 1.253 1897 1.479 1898 1.124 1899 1.09 1900 1.501 1901 1.281 1902 1.143 1903 1.071 1904 0.916 1905 1.089 1906 0.977 1907 1.023 1908 0.971 1909 0.832 1910 0.894 1911 0.898 1912 0.946 1913 1.303 1914 1.084 1915 1.027 1916 0.796 1917 0.673 1918 0.642 1919 0.912 1920 0.816 1921 0.918 1922 0.629 1923 1.102 1924 0.806 1925 0.965 1926 1.14 1927 0.761 1928 1.122 1929 0.721 1930 0.814 1931 1.115 1932 0.676 1933 0.523 1934 0.944 1935 0.547 1936 0.753 1937 0.58 1938 0.867 1939 0.86 1940 0.876 1941 1.167 1942 0.92 1943 1.018 1944 0.717 1945 1.09 1946 1.219 1947 1.108 1948 0.942 1949 0.764 1950 0.95 1951 1.123 1952 0.684 1953 0.935 1954 1.188 1955 0.902 1956 0.945 1957 1.165 1958 1.363 1959 1.014 1960 1.009 1961 1.127 1962 1.021 1963 1.228 1964 1.316 1965 1.097 1966 1.009 1967 0.637 1968 0.817 1969 0.856 1970 0.921 1971 0.9 1972 0.996 1973 0.791 1974 1.179 1975 0.887 1976 1.022 1977 0.949 1978 0.964 1979 0.97 1980 0.83