# northamerica_usa_nm570 - Sierra Blanca Ruidoso - 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/2851 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm570 - Sierra Blanca Ruidoso - 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: Sierra Blanca Ruidoso # Location: # Country: United States # Northernmost_Latitude: 33.33 # Southernmost_Latitude: 33.33 # Easternmost_Longitude: -105.67 # Westernmost_Longitude: -105.67 # Elevation: 3120 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm570B # Earliest_Year: 1661 # Most_Recent_Year: 1983 # 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":"5.16412588453","T2":"17.1904488519","M1":"0.0227908509056","M2":"0.42764840149"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1661 1.031 1662 0.831 1663 0.99 1664 0.796 1665 0.749 1666 0.467 1667 0.317 1668 0.225 1669 0.622 1670 0.802 1671 1.104 1672 0.788 1673 0.917 1674 0.964 1675 1.232 1676 1.211 1677 1.127 1678 1.164 1679 0.83 1680 0.952 1681 0.907 1682 1.256 1683 1.177 1684 0.739 1685 0.426 1686 1.366 1687 0.953 1688 1.395 1689 1.339 1690 1.283 1691 0.847 1692 1.115 1693 1.12 1694 0.966 1695 0.866 1696 0.566 1697 0.956 1698 0.848 1699 0.967 1700 0.812 1701 1.044 1702 0.844 1703 0.931 1704 0.83 1705 0.551 1706 0.814 1707 0.686 1708 1.034 1709 1.288 1710 1.109 1711 0.956 1712 0.834 1713 0.923 1714 0.569 1715 0.642 1716 0.429 1717 0.931 1718 1.037 1719 0.694 1720 1.104 1721 1.255 1722 1.382 1723 1.008 1724 0.775 1725 0.866 1726 1.194 1727 0.949 1728 0.971 1729 0.846 1730 0.613 1731 1.039 1732 1.001 1733 0.703 1734 1.281 1735 1.467 1736 1.432 1737 1.376 1738 1.496 1739 0.761 1740 0.84 1741 1.482 1742 0.976 1743 1.405 1744 1.556 1745 1.246 1746 1.061 1747 1.216 1748 0.317 1749 0.945 1750 0.919 1751 1.444 1752 0.813 1753 1.561 1754 1.541 1755 1.057 1756 1.259 1757 1.126 1758 1.364 1759 1.665 1760 1.088 1761 1.155 1762 1.524 1763 0.896 1764 1.15 1765 0.847 1766 0.87 1767 1.211 1768 0.987 1769 0.953 1770 0.828 1771 0.914 1772 0.768 1773 0.658 1774 0.513 1775 0.709 1776 0.762 1777 0.556 1778 0.721 1779 0.942 1780 0.758 1781 0.891 1782 1.05 1783 1.245 1784 1.271 1785 0.895 1786 0.916 1787 1.151 1788 1.174 1789 0.693 1790 1.26 1791 1.177 1792 1.275 1793 1.592 1794 1.398 1795 0.967 1796 1.125 1797 0.984 1798 0.625 1799 0.943 1800 1.054 1801 0.978 1802 1.284 1803 1.303 1804 1.031 1805 0.828 1806 1.047 1807 1.147 1808 1.449 1809 1.481 1810 1.376 1811 1.405 1812 1.095 1813 1.152 1814 1.008 1815 0.981 1816 1.08 1817 0.906 1818 0.48 1819 0.873 1820 0.672 1821 0.899 1822 0.563 1823 0.821 1824 0.824 1825 1.161 1826 1.274 1827 1.413 1828 1.337 1829 1.538 1830 1.435 1831 1.235 1832 1.162 1833 1.241 1834 1.019 1835 0.877 1836 0.606 1837 0.738 1838 0.66 1839 0.723 1840 0.686 1841 0.536 1842 0.519 1843 0.674 1844 0.993 1845 1.084 1846 1.237 1847 0.454 1848 0.988 1849 1.028 1850 0.915 1851 0.415 1852 0.899 1853 0.898 1854 1.036 1855 0.861 1856 0.837 1857 0.862 1858 1.118 1859 0.788 1860 0.794 1861 0.907 1862 1.024 1863 0.897 1864 0.795 1865 0.669 1866 1.093 1867 1.149 1868 0.932 1869 1.042 1870 0.585 1871 0.985 1872 0.864 1873 0.869 1874 0.591 1875 0.635 1876 0.86 1877 0.928 1878 0.869 1879 0.676 1880 0.658 1881 1.027 1882 0.928 1883 1.259 1884 1.041 1885 1.013 1886 0.995 1887 0.958 1888 0.926 1889 1.061 1890 1.07 1891 1.248 1892 0.741 1893 0.696 1894 0.991 1895 1.55 1896 0.994 1897 1.225 1898 1.67 1899 1.077 1900 0.882 1901 1.439 1902 1.147 1903 1.381 1904 0.754 1905 1.424 1906 1.021 1907 1.329 1908 1.21 1909 1.231 1910 1.03 1911 1.361 1912 1.153 1913 1.169 1914 1.074 1915 0.917 1916 0.776 1917 0.835 1918 0.783 1919 1.048 1920 1.077 1921 1.02 1922 0.945 1923 0.553 1924 0.771 1925 0.358 1926 0.995 1927 0.981 1928 0.945 1929 1.104 1930 1.045 1931 1.068 1932 1.052 1933 1.115 1934 0.558 1935 0.811 1936 1.003 1937 0.732 1938 0.77 1939 0.613 1940 0.943 1941 1.195 1942 1.135 1943 1.051 1944 1.234 1945 0.623 1946 0.724 1947 0.889 1948 0.859 1949 1.024 1950 1.007 1951 0.925 1952 0.934 1953 1.025 1954 0.858 1955 1.071 1956 0.939 1957 0.827 1958 0.894 1959 0.96 1960 1.397 1961 1.137 1962 1.116 1963 0.938 1964 0.892 1965 1.214 1966 1.402 1967 1.417 1968 1.558 1969 1.178 1970 0.922 1971 0.423 1972 0.772 1973 0.933 1974 0.618 1975 0.875 1976 1.035 1977 0.829 1978 0.75 1979 0.84 1980 0.685 1981 0.698 1982 0.792 1983 0.844