# northamerica_mexico_mexi028 - El Tabacote and Tomochic - 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/4848 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_mexico_mexi028 - El Tabacote and Tomochic - 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 Tabacote and Tomochic # Location: # Country: Mexico # Northernmost_Latitude: 28.33 # Southernmost_Latitude: 28.33 # Easternmost_Longitude: -108.0 # Westernmost_Longitude: -108.0 # Elevation: 2250 m #-------------------- # Data_Collection # Collection_Name: northamerica_mexico_mexi028B # Earliest_Year: 1639 # Most_Recent_Year: 1993 # 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":"4.23775089425","T2":"14.2397825329","M1":"0.0226773132328","M2":"0.550775585624"}} #-------------------- # 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 1639 1.618 1640 1.032 1641 0.858 1642 1.042 1643 1.242 1644 0.83 1645 1.135 1646 0.925 1647 0.759 1648 0.613 1649 0.809 1650 1.478 1651 2.007 1652 0.776 1653 0.375 1654 0.872 1655 0.883 1656 1.007 1657 0.848 1658 1.051 1659 0.938 1660 1.188 1661 1.409 1662 0.983 1663 0.961 1664 0.982 1665 1.454 1666 1.229 1667 0.838 1668 0.712 1669 0.674 1670 0.888 1671 1.352 1672 0.655 1673 0.825 1674 1.068 1675 0.732 1676 0.744 1677 1.301 1678 0.627 1679 0.624 1680 1.05 1681 1.055 1682 0.683 1683 1.03 1684 0.693 1685 0.583 1686 1.243 1687 1.439 1688 0.969 1689 0.976 1690 1.706 1691 0.88 1692 1.116 1693 1.01 1694 1.282 1695 0.952 1696 0.539 1697 1.086 1698 0.642 1699 1.026 1700 0.775 1701 1.021 1702 0.593 1703 0.558 1704 0.658 1705 0.793 1706 0.759 1707 0.918 1708 0.994 1709 1.061 1710 1.18 1711 0.807 1712 0.991 1713 1.112 1714 0.967 1715 0.753 1716 1.037 1717 1.008 1718 1.405 1719 0.903 1720 1.182 1721 1.061 1722 0.87 1723 0.938 1724 0.714 1725 0.48 1726 1.067 1727 1.495 1728 1.299 1729 1.003 1730 0.626 1731 0.876 1732 0.635 1733 0.611 1734 0.858 1735 0.897 1736 1.17 1737 1.609 1738 1.472 1739 0.945 1740 0.934 1741 1.031 1742 0.355 1743 1.002 1744 1.256 1745 0.974 1746 1.809 1747 1.207 1748 0.95 1749 1.367 1750 1.028 1751 1.313 1752 0.659 1753 0.741 1754 0.429 1755 0.76 1756 1.155 1757 0.934 1758 1.158 1759 1.033 1760 0.913 1761 0.775 1762 0.952 1763 0.492 1764 0.91 1765 0.99 1766 0.905 1767 0.97 1768 0.838 1769 1.609 1770 0.983 1771 1.11 1772 0.61 1773 0.701 1774 0.705 1775 0.836 1776 0.954 1777 1.11 1778 0.746 1779 1.045 1780 0.994 1781 0.852 1782 0.813 1783 1.095 1784 1.184 1785 0.57 1786 0.886 1787 0.903 1788 1.036 1789 0.637 1790 0.752 1791 1.584 1792 1.336 1793 1.394 1794 1.047 1795 1.136 1796 1.127 1797 0.856 1798 0.547 1799 0.847 1800 1.1 1801 0.63 1802 0.756 1803 0.829 1804 0.991 1805 0.557 1806 0.881 1807 0.972 1808 0.845 1809 0.918 1810 1.005 1811 1.018 1812 0.941 1813 1.221 1814 1.305 1815 1.493 1816 1.392 1817 1.183 1818 1.036 1819 0.822 1820 0.674 1821 0.824 1822 0.975 1823 1.238 1824 1.18 1825 0.893 1826 0.878 1827 1.305 1828 0.964 1829 1.075 1830 0.748 1831 0.879 1832 0.584 1833 1.394 1834 1.004 1835 0.927 1836 0.834 1837 1.197 1838 1.018 1839 1.298 1840 0.825 1841 0.737 1842 0.834 1843 0.913 1844 1.125 1845 0.918 1846 1.064 1847 0.903 1848 1.219 1849 1.218 1850 1.174 1851 0.972 1852 1.469 1853 1.166 1854 1.048 1855 0.83 1856 1.149 1857 0.64 1858 1.07 1859 0.831 1860 0.76 1861 0.943 1862 0.689 1863 0.807 1864 0.83 1865 0.927 1866 0.972 1867 0.933 1868 0.928 1869 1.14 1870 1.046 1871 1.039 1872 1.398 1873 1.289 1874 1.235 1875 1.398 1876 1.315 1877 1.206 1878 1.001 1879 0.996 1880 0.697 1881 1.089 1882 1.008 1883 0.756 1884 0.96 1885 1.096 1886 0.829 1887 0.604 1888 1.313 1889 1.126 1890 0.945 1891 1.091 1892 0.944 1893 0.711 1894 0.657 1895 1.135 1896 1.03 1897 1.001 1898 0.91 1899 0.893 1900 1.167 1901 1.011 1902 0.632 1903 1.108 1904 0.622 1905 1.4 1906 1.198 1907 0.836 1908 1.12 1909 0.834 1910 0.821 1911 0.663 1912 1.055 1913 1.033 1914 1.017 1915 1.179 1916 0.762 1917 0.908 1918 1.008 1919 1.379 1920 1.417 1921 1.0 1922 1.003 1923 1.071 1924 1.282 1925 0.918 1926 1.505 1927 1.076 1928 1.4 1929 0.884 1930 1.272 1931 1.225 1932 1.231 1933 1.402 1934 0.852 1935 1.028 1936 0.894 1937 0.835 1938 0.953 1939 0.745 1940 1.275 1941 1.299 1942 1.247 1943 0.872 1944 1.309 1945 0.757 1946 0.706 1947 1.228 1948 0.932 1949 1.097 1950 1.066 1951 0.688 1952 1.044 1953 0.866 1954 0.491 1955 0.748 1956 0.632 1957 0.799 1958 1.01 1959 0.844 1960 0.935 1961 0.816 1962 0.937 1963 0.585 1964 0.952 1965 0.681 1966 0.904 1967 0.64 1968 1.178 1969 0.774 1970 0.949 1971 0.649 1972 0.975 1973 1.312 1974 0.479 1975 1.129 1976 0.929 1977 0.994 1978 0.633 1979 0.893 1980 0.365 1981 0.889 1982 0.317 1983 0.904 1984 0.616 1985 0.847 1986 0.311 1987 0.786 1988 0.609 1989 0.721 1990 0.676 1991 0.858 1992 1.141 1993 0.943