# southamerica_arge005 - Pimo Hachado - 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/3843 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_arge005 - Pimo Hachado - 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: Pimo Hachado # Location: # Country: Argentina # Northernmost_Latitude: -38.63 # Southernmost_Latitude: -38.63 # Easternmost_Longitude: -70.75 # Westernmost_Longitude: -70.75 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge005B # Earliest_Year: 1641 # Most_Recent_Year: 1974 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"4.5057389479","T2":"15.4811536219","M1":"0.0226465187807","M2":"0.507796365998"}} #-------------------- # Species # Species_Name: monkey puzzle # Species_Code: ARAR #-------------------- # 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 1641 0.562 1642 0.665 1643 0.808 1644 0.66 1645 0.705 1646 0.815 1647 0.9 1648 1.054 1649 0.843 1650 0.958 1651 0.585 1652 0.907 1653 0.867 1654 1.036 1655 0.937 1656 0.756 1657 0.97 1658 1.243 1659 1.07 1660 0.904 1661 0.893 1662 0.866 1663 1.257 1664 1.059 1665 1.094 1666 0.95 1667 0.907 1668 1.153 1669 1.027 1670 1.17 1671 1.071 1672 0.9 1673 0.935 1674 1.125 1675 0.943 1676 0.886 1677 1.007 1678 1.163 1679 1.149 1680 1.065 1681 0.982 1682 0.924 1683 1.054 1684 1.129 1685 1.091 1686 0.898 1687 0.963 1688 0.982 1689 0.932 1690 0.988 1691 1.076 1692 1.016 1693 0.819 1694 1.125 1695 0.996 1696 0.805 1697 0.92 1698 1.032 1699 1.023 1700 1.201 1701 1.302 1702 1.25 1703 1.338 1704 1.477 1705 1.021 1706 0.848 1707 1.002 1708 1.122 1709 1.111 1710 0.949 1711 0.987 1712 0.974 1713 0.943 1714 0.877 1715 1.133 1716 0.9 1717 1.08 1718 1.092 1719 0.843 1720 1.337 1721 1.221 1722 1.072 1723 1.189 1724 1.116 1725 1.154 1726 1.087 1727 0.991 1728 1.089 1729 1.004 1730 1.188 1731 1.141 1732 1.197 1733 1.125 1734 1.031 1735 0.891 1736 1.17 1737 0.809 1738 0.988 1739 0.878 1740 0.967 1741 1.02 1742 1.043 1743 0.714 1744 0.734 1745 0.749 1746 0.909 1747 0.863 1748 0.917 1749 1.526 1750 1.194 1751 0.977 1752 0.865 1753 1.044 1754 1.013 1755 0.895 1756 0.76 1757 0.939 1758 1.038 1759 0.912 1760 0.887 1761 0.937 1762 0.865 1763 0.932 1764 0.88 1765 0.986 1766 0.926 1767 0.801 1768 0.729 1769 0.979 1770 0.932 1771 0.935 1772 0.573 1773 0.484 1774 0.557 1775 0.639 1776 0.859 1777 0.917 1778 1.095 1779 0.867 1780 0.839 1781 1.155 1782 1.136 1783 0.793 1784 1.044 1785 0.943 1786 0.837 1787 0.874 1788 1.194 1789 0.892 1790 1.178 1791 1.225 1792 1.164 1793 1.176 1794 1.264 1795 0.966 1796 0.916 1797 0.923 1798 0.999 1799 0.849 1800 0.872 1801 0.646 1802 0.772 1803 0.721 1804 0.681 1805 0.58 1806 0.558 1807 0.513 1808 0.533 1809 0.646 1810 0.704 1811 0.771 1812 1.061 1813 0.814 1814 1.04 1815 1.161 1816 1.218 1817 1.295 1818 1.046 1819 0.891 1820 1.043 1821 0.879 1822 1.046 1823 1.095 1824 1.233 1825 1.02 1826 1.339 1827 1.29 1828 1.311 1829 1.165 1830 1.214 1831 1.365 1832 1.377 1833 1.254 1834 1.092 1835 1.169 1836 0.882 1837 1.161 1838 1.442 1839 0.949 1840 1.096 1841 0.929 1842 1.092 1843 1.289 1844 1.457 1845 1.172 1846 1.258 1847 1.274 1848 1.34 1849 1.563 1850 1.287 1851 1.262 1852 1.462 1853 1.108 1854 0.978 1855 1.042 1856 1.372 1857 1.537 1858 1.191 1859 0.933 1860 0.87 1861 0.54 1862 0.313 1863 0.317 1864 0.41 1865 0.438 1866 0.57 1867 0.589 1868 0.857 1869 0.66 1870 0.641 1871 0.635 1872 0.813 1873 0.666 1874 0.445 1875 0.398 1876 0.847 1877 0.426 1878 0.475 1879 0.393 1880 0.649 1881 0.746 1882 0.825 1883 0.968 1884 0.931 1885 0.736 1886 0.92 1887 0.98 1888 0.727 1889 0.689 1890 0.7 1891 0.75 1892 0.876 1893 0.683 1894 0.878 1895 1.165 1896 1.213 1897 0.809 1898 1.18 1899 1.149 1900 1.032 1901 1.053 1902 0.955 1903 1.138 1904 1.111 1905 0.912 1906 0.735 1907 0.977 1908 0.809 1909 0.608 1910 0.823 1911 0.571 1912 0.436 1913 0.603 1914 0.708 1915 0.723 1916 0.834 1917 0.778 1918 0.909 1919 0.742 1920 0.716 1921 0.928 1922 0.986 1923 1.046 1924 0.87 1925 1.101 1926 1.139 1927 1.015 1928 1.077 1929 1.411 1930 0.937 1931 1.067 1932 0.999 1933 1.262 1934 1.168 1935 0.919 1936 0.81 1937 0.794 1938 1.177 1939 1.009 1940 1.183 1941 1.027 1942 0.923 1943 0.91 1944 0.998 1945 0.757 1946 0.973 1947 0.868 1948 1.095 1949 1.128 1950 1.291 1951 1.448 1952 1.031 1953 1.208 1954 1.137 1955 0.851 1956 1.148 1957 1.075 1958 1.045 1959 1.253 1960 0.856 1961 1.089 1962 0.874 1963 1.117 1964 1.36 1965 1.251 1966 1.239 1967 0.855 1968 0.908 1969 1.163 1970 0.915 1971 1.345 1972 0.914 1973 0.987 1974 1.257