# northamerica_usa_nm118 - Clines Corner - 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/4968 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm118 - Clines Corner - 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: Clines Corner # Location: # Country: United States # Northernmost_Latitude: 35.08 # Southernmost_Latitude: 35.08 # Easternmost_Longitude: -105.65 # Westernmost_Longitude: -105.65 # Elevation: 2225 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm118B # Earliest_Year: 1652 # Most_Recent_Year: 1982 # 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":"4.17095799844","T2":"16.3763930997","M1":"0.0225646068562","M2":"0.445422956261"}} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1652 0.798 1653 0.616 1654 0.591 1655 0.904 1656 0.589 1657 0.794 1658 0.746 1659 0.969 1660 1.025 1661 1.503 1662 1.724 1663 1.149 1664 1.099 1665 1.055 1666 0.948 1667 0.77 1668 0.387 1669 0.838 1670 0.82 1671 0.862 1672 0.766 1673 0.876 1674 1.128 1675 1.193 1676 0.879 1677 1.184 1678 0.817 1679 0.671 1680 1.481 1681 0.85 1682 1.312 1683 1.56 1684 0.965 1685 0.667 1686 1.123 1687 1.062 1688 1.221 1689 1.633 1690 1.135 1691 0.921 1692 1.295 1693 1.083 1694 1.17 1695 1.598 1696 0.875 1697 0.72 1698 0.78 1699 0.756 1700 0.99 1701 1.078 1702 0.95 1703 1.201 1704 0.986 1705 0.791 1706 1.184 1707 1.103 1708 1.27 1709 0.658 1710 1.181 1711 1.144 1712 1.317 1713 1.498 1714 1.198 1715 0.941 1716 0.556 1717 1.188 1718 0.968 1719 0.945 1720 1.382 1721 1.524 1722 1.272 1723 1.125 1724 1.14 1725 0.889 1726 1.139 1727 1.082 1728 1.061 1729 0.579 1730 0.726 1731 1.007 1732 1.345 1733 0.664 1734 1.364 1735 0.68 1736 0.837 1737 0.324 1738 0.618 1739 0.289 1740 1.089 1741 1.346 1742 0.829 1743 1.197 1744 0.68 1745 0.881 1746 1.179 1747 1.141 1748 0.252 1749 0.773 1750 0.682 1751 1.071 1752 0.515 1753 1.126 1754 1.283 1755 1.016 1756 0.835 1757 0.623 1758 1.31 1759 1.077 1760 0.644 1761 1.083 1762 1.066 1763 0.478 1764 0.778 1765 0.689 1766 1.027 1767 1.088 1768 0.853 1769 0.819 1770 0.827 1771 1.256 1772 0.841 1773 0.438 1774 0.545 1775 0.622 1776 0.94 1777 1.207 1778 1.338 1779 0.697 1780 0.502 1781 0.86 1782 0.82 1783 1.531 1784 1.613 1785 1.041 1786 0.846 1787 1.561 1788 1.251 1789 0.646 1790 0.766 1791 1.03 1792 0.895 1793 1.356 1794 0.925 1795 0.998 1796 0.575 1797 0.786 1798 1.252 1799 0.996 1800 1.255 1801 1.03 1802 0.835 1803 0.851 1804 1.192 1805 0.943 1806 0.977 1807 0.868 1808 0.959 1809 0.953 1810 1.239 1811 1.069 1812 0.993 1813 1.357 1814 1.197 1815 1.704 1816 1.89 1817 0.96 1818 0.645 1819 0.362 1820 1.15 1821 1.379 1822 0.419 1823 1.197 1824 0.973 1825 1.25 1826 1.171 1827 1.211 1828 1.63 1829 1.779 1830 1.454 1831 0.984 1832 0.756 1833 1.501 1834 1.219 1835 0.991 1836 0.664 1837 0.931 1838 1.208 1839 1.538 1840 1.595 1841 1.582 1842 0.285 1843 1.107 1844 1.101 1845 0.948 1846 1.103 1847 0.527 1848 0.852 1849 1.793 1850 1.372 1851 0.717 1852 0.855 1853 1.189 1854 1.113 1855 0.995 1856 1.188 1857 1.451 1858 1.324 1859 1.122 1860 0.575 1861 0.331 1862 0.242 1863 0.503 1864 0.793 1865 0.877 1866 1.106 1867 1.127 1868 0.754 1869 1.109 1870 0.622 1871 0.919 1872 1.252 1873 0.501 1874 0.631 1875 0.688 1876 1.079 1877 0.904 1878 1.07 1879 1.069 1880 0.24 1881 0.917 1882 0.782 1883 0.311 1884 0.656 1885 0.859 1886 0.631 1887 1.042 1888 0.812 1889 0.967 1890 0.598 1891 1.063 1892 0.917 1893 0.64 1894 0.803 1895 1.223 1896 0.18 1897 1.322 1898 0.841 1899 0.261 1900 0.669 1901 1.075 1902 0.646 1903 1.076 1904 0.29 1905 1.264 1906 1.1 1907 1.305 1908 1.151 1909 0.811 1910 0.873 1911 1.25 1912 1.203 1913 0.924 1914 1.219 1915 1.357 1916 1.954 1917 1.369 1918 0.851 1919 2.118 1920 1.456 1921 1.19 1922 0.859 1923 0.913 1924 0.964 1925 -0.033 1926 1.213 1927 0.889 1928 1.165 1929 0.894 1930 1.06 1931 1.097 1932 1.582 1933 1.526 1934 0.891 1935 1.091 1936 0.994 1937 1.276 1938 0.566 1939 0.916 1940 1.186 1941 1.176 1942 1.302 1943 1.167 1944 0.976 1945 1.106 1946 0.939 1947 1.029 1948 1.104 1949 1.284 1950 0.797 1951 0.611 1952 0.611 1953 0.595 1954 0.439 1955 0.971 1956 -0.029 1957 0.008 1958 0.972 1959 0.914 1960 1.478 1961 1.13 1962 1.335 1963 1.155 1964 1.073 1965 0.989 1966 0.857 1967 0.477 1968 0.958 1969 1.127 1970 1.139 1971 0.493 1972 0.92 1973 1.06 1974 0.648 1975 1.412 1976 0.795 1977 0.592 1978 0.86 1979 1.476 1980 1.099 1981 0.623 1982 0.817