# northamerica_usa_ca525 - Damon's Butte - 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/3309 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca525 - Damon's Butte - 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: Damon's Butte # Location: # Country: United States # Northernmost_Latitude: 41.5 # Southernmost_Latitude: 41.5 # Easternmost_Longitude: -121.17 # Westernmost_Longitude: -121.17 # Elevation: 1448 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca525B # Earliest_Year: 1680 # Most_Recent_Year: 1981 # 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":"3.2227649185","T2":"15.119036967","M1":"0.0233071056356","M2":"0.539392243764"}} #-------------------- # 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 1680 0.792 1681 0.94 1682 0.983 1683 0.847 1684 0.754 1685 0.949 1686 0.93 1687 0.922 1688 0.945 1689 0.536 1690 0.846 1691 1.166 1692 1.014 1693 1.018 1694 1.177 1695 0.878 1696 0.797 1697 0.929 1698 0.806 1699 0.85 1700 1.008 1701 0.72 1702 1.039 1703 0.568 1704 0.672 1705 0.88 1706 0.806 1707 0.951 1708 0.896 1709 0.832 1710 0.78 1711 0.865 1712 0.886 1713 0.857 1714 1.076 1715 1.235 1716 1.272 1717 0.998 1718 1.001 1719 0.908 1720 1.007 1721 0.648 1722 0.987 1723 1.005 1724 0.98 1725 0.893 1726 1.149 1727 1.124 1728 0.918 1729 0.874 1730 1.033 1731 1.082 1732 1.001 1733 0.873 1734 0.962 1735 1.134 1736 1.248 1737 1.385 1738 1.769 1739 0.871 1740 0.94 1741 0.914 1742 1.045 1743 0.958 1744 1.13 1745 1.264 1746 1.17 1747 1.239 1748 0.892 1749 1.356 1750 1.212 1751 1.366 1752 1.363 1753 1.113 1754 1.047 1755 1.193 1756 0.724 1757 0.809 1758 1.088 1759 1.08 1760 0.953 1761 1.239 1762 1.038 1763 0.937 1764 0.9 1765 1.002 1766 0.893 1767 1.006 1768 0.938 1769 0.961 1770 0.924 1771 0.909 1772 0.97 1773 1.04 1774 1.0 1775 1.236 1776 0.662 1777 0.701 1778 0.764 1779 0.884 1780 1.008 1781 0.862 1782 1.063 1783 0.809 1784 1.142 1785 1.078 1786 1.206 1787 1.094 1788 0.834 1789 1.102 1790 1.024 1791 1.294 1792 1.232 1793 1.094 1794 1.068 1795 0.923 1796 0.839 1797 0.951 1798 0.861 1799 1.186 1800 1.182 1801 1.316 1802 1.096 1803 1.499 1804 1.212 1805 1.114 1806 1.312 1807 1.165 1808 1.131 1809 1.415 1810 1.382 1811 1.363 1812 1.589 1813 1.222 1814 1.335 1815 0.913 1816 0.979 1817 0.826 1818 1.173 1819 1.128 1820 1.007 1821 0.936 1822 0.508 1823 0.657 1824 0.565 1825 0.865 1826 0.935 1827 0.971 1828 1.077 1829 0.326 1830 0.772 1831 0.736 1832 1.035 1833 0.901 1834 0.77 1835 0.898 1836 1.129 1837 1.063 1838 1.1 1839 0.714 1840 0.987 1841 0.762 1842 0.763 1843 0.777 1844 0.757 1845 1.069 1846 0.85 1847 0.842 1848 0.725 1849 0.872 1850 0.754 1851 0.84 1852 1.091 1853 0.892 1854 0.878 1855 1.249 1856 0.693 1857 0.89 1858 0.793 1859 0.579 1860 1.023 1861 1.14 1862 0.703 1863 0.769 1864 0.514 1865 0.568 1866 0.882 1867 0.623 1868 0.883 1869 0.874 1870 0.784 1871 0.904 1872 0.976 1873 0.911 1874 0.949 1875 1.067 1876 0.942 1877 0.925 1878 1.099 1879 1.135 1880 0.701 1881 1.159 1882 0.836 1883 0.825 1884 1.125 1885 1.215 1886 0.857 1887 1.013 1888 0.974 1889 0.6 1890 0.513 1891 0.785 1892 0.78 1893 0.833 1894 1.206 1895 0.932 1896 0.994 1897 1.084 1898 0.781 1899 0.71 1900 1.025 1901 0.858 1902 0.818 1903 0.678 1904 0.847 1905 1.031 1906 1.144 1907 1.682 1908 1.475 1909 1.049 1910 1.093 1911 0.879 1912 1.006 1913 1.479 1914 1.185 1915 1.212 1916 1.233 1917 0.871 1918 0.72 1919 0.786 1920 0.517 1921 0.932 1922 0.559 1923 0.65 1924 0.309 1925 0.686 1926 0.648 1927 0.596 1928 0.846 1929 0.471 1930 0.575 1931 0.488 1932 0.487 1933 0.478 1934 0.714 1935 0.584 1936 0.564 1937 0.509 1938 0.735 1939 0.613 1940 0.56 1941 0.906 1942 1.026 1943 0.98 1944 0.771 1945 0.902 1946 0.909 1947 0.944 1948 0.803 1949 0.682 1950 0.88 1951 0.884 1952 1.017 1953 1.296 1954 1.844 1955 1.387 1956 1.367 1957 1.776 1958 1.925 1959 1.555 1960 1.587 1961 1.518 1962 1.434 1963 1.967 1964 1.442 1965 1.696 1966 1.709 1967 1.049 1968 1.179 1969 1.631 1970 1.215 1971 1.426 1972 1.651 1973 1.117 1974 1.083 1975 1.097 1976 0.656 1977 0.6 1978 1.159 1979 1.047 1980 1.172 1981 1.359