# southamerica_chil013 - Santa Isabel de las Cruces - 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/3549 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_chil013 - Santa Isabel de las Cruces - 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: Santa Isabel de las Cruces # Location: # Country: Chile # Northernmost_Latitude: -34.78 # Southernmost_Latitude: -34.78 # Easternmost_Longitude: -70.75 # Westernmost_Longitude: -70.75 # Elevation: 850 m #-------------------- # Data_Collection # Collection_Name: southamerica_chil013B # Earliest_Year: 1646 # Most_Recent_Year: 1975 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"5.16970389788","T2":"18.5335229243","M1":"0.0224627355526","M2":"0.278789102555"}} #-------------------- # Species # Species_Name: Chilean cedar # Species_Code: AUCH #-------------------- # 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 1646 0.783 1647 1.115 1648 1.322 1649 1.138 1650 1.105 1651 1.214 1652 1.309 1653 1.171 1654 1.135 1655 1.112 1656 1.194 1657 1.078 1658 0.993 1659 1.231 1660 1.136 1661 0.977 1662 0.928 1663 1.105 1664 1.07 1665 1.057 1666 1.058 1667 1.21 1668 1.066 1669 0.934 1670 0.984 1671 0.878 1672 0.965 1673 1.022 1674 0.999 1675 1.139 1676 1.195 1677 0.775 1678 0.587 1679 0.641 1680 0.765 1681 0.861 1682 0.703 1683 0.751 1684 0.754 1685 0.734 1686 0.798 1687 0.983 1688 1.064 1689 1.082 1690 1.173 1691 1.333 1692 1.228 1693 1.044 1694 1.423 1695 1.261 1696 0.915 1697 0.915 1698 0.89 1699 0.748 1700 0.666 1701 0.843 1702 0.843 1703 0.878 1704 0.906 1705 0.763 1706 0.763 1707 1.032 1708 1.058 1709 1.03 1710 1.158 1711 1.081 1712 1.157 1713 1.209 1714 1.404 1715 1.187 1716 1.162 1717 1.145 1718 1.141 1719 1.098 1720 1.203 1721 0.982 1722 1.05 1723 1.039 1724 0.956 1725 0.813 1726 0.804 1727 0.728 1728 0.993 1729 0.863 1730 0.752 1731 0.855 1732 0.857 1733 0.831 1734 0.982 1735 1.185 1736 1.22 1737 1.034 1738 1.121 1739 1.197 1740 1.016 1741 0.871 1742 1.22 1743 0.893 1744 0.621 1745 0.629 1746 0.754 1747 0.889 1748 0.849 1749 1.017 1750 1.28 1751 0.926 1752 0.739 1753 0.786 1754 1.134 1755 1.087 1756 0.905 1757 0.733 1758 0.718 1759 0.752 1760 1.083 1761 1.165 1762 0.983 1763 0.916 1764 0.86 1765 0.861 1766 0.989 1767 1.018 1768 0.915 1769 1.107 1770 1.204 1771 1.266 1772 1.119 1773 1.158 1774 0.957 1775 0.881 1776 0.821 1777 0.854 1778 0.852 1779 0.713 1780 1.045 1781 0.835 1782 0.822 1783 0.956 1784 1.022 1785 0.995 1786 1.274 1787 1.22 1788 1.095 1789 1.085 1790 1.193 1791 1.044 1792 1.235 1793 1.137 1794 1.097 1795 1.481 1796 1.26 1797 1.151 1798 0.992 1799 1.008 1800 1.049 1801 1.008 1802 0.843 1803 0.942 1804 1.026 1805 1.057 1806 0.786 1807 0.727 1808 0.788 1809 0.86 1810 1.112 1811 1.082 1812 1.205 1813 0.877 1814 0.723 1815 1.32 1816 0.953 1817 0.931 1818 0.91 1819 0.81 1820 0.803 1821 0.867 1822 0.932 1823 1.18 1824 1.032 1825 0.805 1826 0.64 1827 0.784 1828 0.632 1829 0.548 1830 0.726 1831 0.541 1832 0.589 1833 0.703 1834 0.685 1835 0.604 1836 0.737 1837 0.995 1838 0.814 1839 0.606 1840 0.571 1841 0.725 1842 0.795 1843 1.005 1844 1.036 1845 0.862 1846 0.963 1847 1.015 1848 1.174 1849 1.197 1850 1.293 1851 1.38 1852 1.182 1853 1.02 1854 1.111 1855 1.435 1856 1.26 1857 1.402 1858 1.366 1859 0.938 1860 0.744 1861 1.152 1862 1.239 1863 1.189 1864 1.052 1865 1.047 1866 0.946 1867 0.863 1868 1.203 1869 1.277 1870 1.023 1871 1.016 1872 0.952 1873 0.914 1874 1.267 1875 1.27 1876 1.219 1877 1.039 1878 1.369 1879 0.996 1880 1.049 1881 1.405 1882 1.004 1883 1.015 1884 1.306 1885 1.321 1886 0.994 1887 0.879 1888 0.997 1889 0.787 1890 0.419 1891 0.741 1892 0.878 1893 0.589 1894 0.67 1895 1.005 1896 0.864 1897 0.818 1898 1.107 1899 0.991 1900 0.654 1901 0.471 1902 0.652 1903 0.627 1904 0.805 1905 0.781 1906 0.525 1907 0.453 1908 0.768 1909 0.717 1910 0.702 1911 0.683 1912 0.857 1913 0.698 1914 0.795 1915 1.014 1916 0.766 1917 0.94 1918 1.05 1919 1.003 1920 1.204 1921 0.901 1922 0.857 1923 0.982 1924 0.738 1925 0.482 1926 0.853 1927 0.979 1928 0.924 1929 0.914 1930 0.828 1931 1.045 1932 0.88 1933 0.653 1934 0.909 1935 0.543 1936 0.769 1937 0.838 1938 0.966 1939 0.9 1940 1.015 1941 1.155 1942 1.059 1943 1.204 1944 1.205 1945 1.232 1946 1.086 1947 0.89 1948 0.967 1949 1.01 1950 1.333 1951 1.156 1952 1.006 1953 1.135 1954 1.31 1955 1.323 1956 1.437 1957 1.034 1958 0.757 1959 1.17 1960 0.9 1961 0.966 1962 1.012 1963 1.394 1964 1.341 1965 1.31 1966 1.484 1967 1.277 1968 0.894 1969 0.807 1970 0.763 1971 0.996 1972 0.817 1973 1.299 1974 1.159 1975 1.133