# southamerica_chil011 - El Chacay - 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/3520 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_chil011 - El Chacay - 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: El Chacay # Location: # Country: Chile # Northernmost_Latitude: -37.35 # Southernmost_Latitude: -37.35 # Easternmost_Longitude: -71.5 # Westernmost_Longitude: -71.5 # Elevation: 925 m #-------------------- # Data_Collection # Collection_Name: southamerica_chil011B # Earliest_Year: 1667 # 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":"4.89072113262","T2":"17.7220299037","M1":"0.0223348526419","M2":"0.370894633531"}} #-------------------- # 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 1667 1.113 1668 1.068 1669 0.772 1670 1.054 1671 1.042 1672 0.869 1673 0.904 1674 1.307 1675 1.188 1676 1.457 1677 1.154 1678 1.104 1679 0.871 1680 0.586 1681 0.693 1682 0.652 1683 0.905 1684 1.062 1685 0.916 1686 0.773 1687 0.871 1688 0.985 1689 1.48 1690 1.4 1691 1.219 1692 1.113 1693 0.566 1694 0.752 1695 0.786 1696 0.873 1697 0.854 1698 0.945 1699 0.772 1700 0.686 1701 0.802 1702 0.926 1703 1.124 1704 1.313 1705 1.335 1706 1.257 1707 1.915 1708 1.715 1709 1.223 1710 0.811 1711 0.897 1712 0.728 1713 0.807 1714 0.811 1715 0.796 1716 0.938 1717 0.951 1718 0.694 1719 0.827 1720 1.054 1721 0.968 1722 0.612 1723 0.811 1724 1.245 1725 1.138 1726 1.245 1727 1.129 1728 1.288 1729 1.315 1730 1.148 1731 1.388 1732 1.401 1733 1.005 1734 1.103 1735 0.877 1736 1.191 1737 1.033 1738 0.853 1739 1.13 1740 1.257 1741 1.169 1742 1.342 1743 1.313 1744 0.962 1745 0.59 1746 0.539 1747 0.577 1748 0.185 1749 0.489 1750 0.495 1751 0.421 1752 0.374 1753 0.643 1754 0.879 1755 0.841 1756 1.044 1757 0.799 1758 0.453 1759 0.391 1760 0.564 1761 0.892 1762 0.87 1763 0.929 1764 0.727 1765 0.488 1766 0.699 1767 0.666 1768 0.975 1769 0.96 1770 1.416 1771 1.389 1772 1.45 1773 1.788 1774 1.615 1775 1.261 1776 1.352 1777 1.528 1778 1.31 1779 0.928 1780 0.65 1781 0.882 1782 0.947 1783 1.215 1784 1.112 1785 0.946 1786 0.981 1787 0.796 1788 0.705 1789 0.743 1790 0.887 1791 0.748 1792 0.629 1793 0.855 1794 0.732 1795 0.775 1796 0.697 1797 0.79 1798 0.772 1799 0.663 1800 1.045 1801 1.112 1802 1.275 1803 1.132 1804 1.108 1805 1.059 1806 0.896 1807 0.71 1808 0.819 1809 1.19 1810 1.247 1811 1.026 1812 0.995 1813 0.996 1814 1.021 1815 1.176 1816 1.031 1817 1.091 1818 1.053 1819 0.773 1820 1.02 1821 1.106 1822 1.221 1823 1.257 1824 1.155 1825 1.48 1826 1.024 1827 0.999 1828 0.812 1829 1.045 1830 1.155 1831 0.883 1832 0.946 1833 1.041 1834 1.148 1835 0.842 1836 0.65 1837 0.795 1838 0.933 1839 0.705 1840 0.718 1841 0.612 1842 0.761 1843 0.716 1844 0.883 1845 0.788 1846 0.76 1847 0.795 1848 1.037 1849 1.211 1850 1.185 1851 1.318 1852 1.502 1853 1.117 1854 0.928 1855 1.056 1856 1.234 1857 1.521 1858 1.236 1859 0.893 1860 0.755 1861 0.933 1862 1.075 1863 1.268 1864 0.912 1865 1.282 1866 1.165 1867 1.379 1868 1.503 1869 1.775 1870 1.869 1871 1.484 1872 1.691 1873 1.397 1874 1.281 1875 1.34 1876 1.27 1877 1.372 1878 1.673 1879 1.82 1880 1.632 1881 1.338 1882 1.276 1883 1.2 1884 1.277 1885 1.436 1886 1.479 1887 1.293 1888 0.847 1889 1.002 1890 1.118 1891 0.994 1892 1.076 1893 0.919 1894 1.078 1895 1.117 1896 0.863 1897 0.635 1898 1.02 1899 0.935 1900 0.792 1901 0.901 1902 0.741 1903 0.775 1904 0.772 1905 0.943 1906 0.797 1907 1.049 1908 1.032 1909 0.913 1910 0.861 1911 0.611 1912 0.802 1913 0.557 1914 0.197 1915 0.729 1916 0.693 1917 0.903 1918 0.836 1919 0.919 1920 1.005 1921 0.768 1922 0.683 1923 0.55 1924 0.622 1925 0.5 1926 0.888 1927 0.416 1928 0.741 1929 0.823 1930 0.62 1931 0.761 1932 0.464 1933 0.704 1934 0.828 1935 0.85 1936 0.948 1937 0.751 1938 0.662 1939 0.735 1940 0.957 1941 0.976 1942 0.486 1943 0.315 1944 0.416 1945 0.649 1946 0.984 1947 0.814 1948 0.781 1949 0.772 1950 0.79 1951 1.088 1952 1.183 1953 0.738 1954 0.716 1955 0.73 1956 0.967 1957 0.583 1958 0.637 1959 0.731 1960 0.896 1961 1.156 1962 0.745 1963 1.256 1964 1.711 1965 1.515 1966 1.292 1967 1.39 1968 1.801 1969 1.468 1970 0.979 1971 1.381 1972 0.967 1973 0.961 1974 0.796 1975 0.926