# Meko - San Pedro Martir - ABCO - ITRDB MEXI106 #---------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #---------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/20974 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-tree-20974.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Tree Ring # # Dataset_DOI: # # Science_Keywords: #-------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/measurements/northamerica/mexico/mexi106-crn-noaa.txt # Data_Download_Description: Raw Measurements - NOAA Template File; mexi106-crn-noaa.txt # # Related_Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/chronologies/northamerica/mexico/mexi106.crn # Related_Online_Description: CRN File; Chronology - Tucson Decadal File # #-------------------- # Contribution_Date # Date: 2016-07-27 #-------------------- # File_Last_Modified_Date # Date: 2016-07-27 #-------------------- # Title # Study_Name: Meko - San Pedro Martir - ABCO - ITRDB MEXI106 #-------------------- # Investigators # Investigators: Meko, D.M.(https://orcid.org/0000-0002-5171-2724); Malevich, S.B.; Losleben, M.V.; Villanueva, J. #-------------------- # Description_Notes_and_Keywords # Description: NOAA Template Raw Measurements file added 2019-02-04. #-------------------- # Publication # Authors: David W. Stahle, Edward R. Cook, Dorian J. Burnette, Jose Villanueva, Julian Cerano, Jordan N. Burns, Daniel Griffin, Benjamin I. Cook, Rodolfo Acuna, Max C.A. Torbenson, Paul Sjezner, Ian M. Howard # Journal_Name: Quaternary Science Reviews # Published_Title: The Mexican Drought Atlas: Tree-ring reconstructions of the soil moisture balance during the late pre-Hispanic, colonial, and modern eras # Published_Date_or_Year: 2016 # Volume: 149 # Pages: 34-60 # Issue: # Report_Number: # DOI: 10.1016/j.quascirev.2016.06.018 # Full_Citation: None # Abstract: Mexico has suffered a long history and prehistory of severe sustained drought. Drought over Mexico is modulated by ocean-atmospheric variability in the Atlantic and Pacific, raising the possibility for long-range seasonal climate forecasting, which could help mediate the economic and social impacts of future dry spells. The instrumental record of Mexican climate is very limited before 1920, but tree-ring chronologies developed from old-growth forests in Mexico can provide an excellent proxy representation of the spatial pattern and intensity of past moisture regimes useful for the analysis of climate dynamics and climate impacts. The Mexican Drought Atlas (MXDA) has been developed from an extensive network of 252 climate sensitive tree-ring chronologies in and near Mexico. The MXDA reconstructions extend from 1400 CE-2012 and were calibrated with the instrumental summer (JJA) self-calibrating Palmer Drought Severity Index (scPDSI) on a 0.5 latitude/longitude grid extending over land areas from 14 to 34N and 75-120W using Ensemble Point-by-Point Regression (EPPR) for the 1944-1984 period. The grid point reconstructions were validated for the period 1920-1943 against instrumental gridded scPDSI values based on the fewer weather station observations available during that interval. The MXDA provides a new spatial perspective on the historical impacts of moisture extremes over Mexico during the past 600-years, including the Aztec Drought of One Rabbit in 1454, the drought of El Ano de Hambre in 1785-1786, and the drought that preceded the Mexican Revolution of 1909-1910. # The El Nino/Southern Oscillation (ENSO) is the most important ocean-atmospheric forcing of moisture variability detected with the MXDA. In fact, the reconstructions suggest that the strongest central equatorial Pacific sea surface temperature (SST) teleconnection to the soil moisture balance over North America may reside in northern Mexico. This ENSO signal has stronger and more time-stable correlations than computed for either the Atlantic Multidecadal Oscillation or Pacific Decadal Oscillation. The extended Multivariate ENSO Index is most highly correlated with reconstructed scPDSI over northern Mexico, where warm events favor moist conditions during the winter, spring, and early summer. This ENSO teleconnection to northern Mexico has been strong over the past 150 years, but it has been comparatively weak and non-stationary in the MXDA over central and southern Mexico where eastern tropical Pacific and Caribbean/tropical Atlantic SSTs seem to be more important. The ENSO teleconnection to northern Mexico is weaker in the available instrumental PDSI, but analyses based on the millennium climate simulations with the Community Earth System Model suggest that the moisture balance during the winter, spring, and early summer over northern Mexico may indeed be particularly sensitive to ENSO forcing. Nationwide drought is predicted to become more common with anthropogenic climate change, but the MXDA reconstructions indicate that intense "All Mexico" droughts have been rare over the past 600 years and their frequency does not appear to have increased substantially in recent decades. #-------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #-------------------- # Site_Information # Site_Name: San Pedro Martir # Location: Mexico # Northernmost_Latitude: 30.998 # Southernmost_Latitude: 30.998 # Easternmost_Longitude: -115.558 # Westernmost_Longitude: -115.558 # Elevation_m: 2522 #-------------------- # Data_Collection # Collection_Name: MEXI106 # First_Year: 1650 # Last_Year: 2010 # Time_Unit: CE # Core_Length_m: # Parameter_Keywords: ring width # Notes: #-------------------- # Species # Species_Name: Abies concolor (Gordon) Lindl. ex Hildebr. # Common_Name: white fir # Tree_Species_Code: ABCO #-------------------- # Variables # # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by '##' in columns one and two. # Variables format: shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## age_CE age,,,year Common Era,,tree ring,,,N, ## trsgi tree ring standardized growth index,,,,,tree ring,composited,standard chronology method,N, ## numsamp number of samples,,,count,,tree ring,,,N, #--------------------- # Data: # Missing_Values: NA age_CE trsgi numsamp 1650 0.657 3 1651 0.545 3 1652 0.951 3 1653 0.816 3 1654 0.628 3 1655 0.864 3 1656 0.925 3 1657 1.188 4 1658 1.088 5 1659 1.452 5 1660 1.403 5 1661 1.236 5 1662 1.737 6 1663 1.753 6 1664 1.422 7 1665 0.713 7 1666 1.005 7 1667 1.3 7 1668 0.905 7 1669 0.543 8 1670 0.38 9 1671 0.623 9 1672 0.772 9 1673 0.698 9 1674 0.875 9 1675 0.554 9 1676 0.372 9 1677 0.804 11 1678 0.849 11 1679 0.989 11 1680 1.112 11 1681 1.327 12 1682 1.495 12 1683 1.502 12 1684 0.881 12 1685 0.713 12 1686 1.109 13 1687 1.132 13 1688 1.018 13 1689 1.287 13 1690 1.187 13 1691 0.825 14 1692 1.534 14 1693 1.165 14 1694 1.367 14 1695 1.414 14 1696 1.101 14 1697 0.939 14 1698 0.887 14 1699 1.201 14 1700 0.804 14 1701 1.338 14 1702 1.22 14 1703 0.195 14 1704 1.099 14 1705 1.001 14 1706 0.727 14 1707 0.914 14 1708 0.886 14 1709 0.278 14 1710 0.943 14 1711 1.032 15 1712 1.151 15 1713 0.537 16 1714 0.962 16 1715 0.827 16 1716 0.407 16 1717 1.178 17 1718 1.546 17 1719 1.404 18 1720 1.546 18 1721 1.089 18 1722 0.526 18 1723 1.316 19 1724 1.242 19 1725 1.262 20 1726 1.527 20 1727 1.235 20 1728 0.658 20 1729 0.911 20 1730 0.965 22 1731 0.915 22 1732 1.172 22 1733 0.173 22 1734 0.748 22 1735 0.453 22 1736 0.812 23 1737 0.948 23 1738 1.123 25 1739 0.377 25 1740 0.964 25 1741 1.251 25 1742 0.462 26 1743 1.108 26 1744 1.049 26 1745 1.165 26 1746 1.567 26 1747 1.486 27 1748 1.147 27 1749 1.679 29 1750 1.365 32 1751 0.646 32 1752 0.09 32 1753 0.19 33 1754 0.126 33 1755 0.681 33 1756 0.868 34 1757 0.838 35 1758 1.074 35 1759 1.151 37 1760 1.158 37 1761 0.638 37 1762 1.124 37 1763 0.55 37 1764 1.386 37 1765 1.091 37 1766 1.409 38 1767 0.737 38 1768 1.095 38 1769 1.139 38 1770 1.121 40 1771 1.472 41 1772 1.395 41 1773 1.548 41 1774 1.252 41 1775 1.378 41 1776 1.122 42 1777 0.998 44 1778 0.582 44 1779 0.983 45 1780 0.648 46 1781 0.965 47 1782 0.396 47 1783 1.235 48 1784 1.491 50 1785 0.364 51 1786 1.063 52 1787 1.332 53 1788 0.625 53 1789 0.846 54 1790 0.09 54 1791 0.947 54 1792 1.12 55 1793 1.163 56 1794 0.384 57 1795 0.761 58 1796 0.972 58 1797 0.518 58 1798 0.778 58 1799 1 58 1800 1.037 58 1801 0.868 58 1802 1.192 58 1803 0.869 58 1804 1.249 62 1805 0.97 62 1806 1.182 64 1807 1.153 64 1808 1.262 64 1809 0.535 65 1810 1.166 66 1811 1.262 67 1812 1.188 67 1813 0.945 68 1814 1.193 68 1815 1.22 69 1816 1.511 69 1817 1.547 70 1818 1.291 70 1819 0.792 70 1820 0.364 71 1821 1.503 71 1822 0.602 71 1823 0.306 71 1824 1.169 72 1825 1.153 72 1826 1.335 73 1827 1.299 73 1828 1.449 74 1829 0.314 74 1830 0.442 75 1831 1.27 76 1832 0.994 76 1833 1.385 77 1834 1.136 77 1835 0.92 77 1836 1.104 78 1837 0.953 78 1838 0.984 80 1839 1.462 80 1840 1.162 80 1841 0.678 80 1842 0.693 81 1843 0.438 81 1844 1.148 81 1845 0.34 81 1846 1.208 81 1847 0.292 81 1848 1.167 82 1849 1.214 82 1850 1.236 82 1851 0.863 82 1852 1.061 82 1853 1.124 84 1854 1.18 84 1855 1.142 84 1856 1.319 84 1857 0.415 84 1858 1.407 84 1859 0.783 85 1860 0.9 85 1861 1.016 85 1862 1.242 85 1863 0.588 85 1864 0.645 85 1865 1.08 85 1866 1.392 85 1867 1.2 85 1868 1.489 85 1869 1.355 85 1870 1.159 85 1871 0.606 85 1872 0.563 85 1873 0.795 85 1874 1.312 86 1875 1.049 86 1876 0.876 86 1877 0.565 86 1878 0.924 86 1879 0.29 86 1880 0.792 86 1881 0.299 86 1882 0.433 86 1883 0.364 86 1884 0.785 86 1885 0.634 87 1886 0.877 87 1887 0.809 87 1888 0.914 88 1889 0.937 89 1890 1.183 89 1891 1.314 89 1892 1.269 89 1893 1.08 89 1894 0.666 89 1895 0.827 89 1896 0.777 89 1897 1.141 89 1898 0.557 89 1899 0.508 90 1900 0.408 90 1901 0.822 90 1902 0.577 90 1903 0.978 90 1904 0.298 90 1905 1.171 90 1906 1.086 90 1907 1.284 90 1908 1.402 90 1909 1.49 90 1910 1.149 91 1911 1.446 91 1912 1.538 91 1913 1.151 91 1914 1.459 92 1915 1.548 92 1916 1.335 92 1917 1.703 92 1918 1.838 92 1919 1.703 92 1920 1.559 92 1921 0.727 92 1922 1.574 92 1923 0.722 92 1924 1.261 91 1925 0.512 91 1926 1.175 91 1927 1.119 91 1928 0.625 91 1929 0.456 91 1930 1.269 91 1931 1.212 91 1932 0.992 91 1933 0.962 91 1934 0.383 91 1935 1.184 91 1936 0.862 91 1937 1.248 91 1938 0.971 91 1939 1.079 91 1940 0.959 91 1941 1.29 90 1942 0.966 90 1943 0.799 90 1944 1.186 90 1945 1.042 90 1946 0.98 90 1947 0.861 90 1948 0.29 92 1949 1.045 92 1950 0.557 92 1951 0.797 92 1952 1.008 92 1953 0.924 92 1954 1.001 94 1955 0.556 93 1956 0.442 93 1957 1.071 93 1958 1.193 93 1959 1.019 93 1960 0.786 93 1961 0.297 93 1962 0.921 93 1963 0.893 93 1964 0.649 93 1965 1.188 93 1966 1.084 93 1967 1.281 93 1968 1.173 93 1969 1.207 93 1970 1.111 93 1971 0.741 92 1972 1.108 92 1973 1.208 92 1974 0.83 92 1975 1.133 92 1976 1.2 92 1977 1.307 92 1978 1.245 92 1979 1.471 92 1980 1.435 92 1981 1.149 92 1982 1.321 92 1983 1.582 92 1984 1.157 92 1985 1.427 92 1986 1.379 92 1987 1.414 92 1988 1.443 92 1989 0.669 92 1990 0.674 92 1991 1.475 92 1992 1.427 92 1993 1.401 92 1994 1.207 92 1995 1.457 92 1996 0.751 64 1997 0.925 64 1998 1.523 64 1999 1.375 64 2000 0.608 64 2001 1.23 64 2002 0.312 63 2003 0.931 63 2004 0.857 63 2005 1.107 63 2006 0.939 63 2007 0.115 63 2008 1.09 63 2009 0.933 63 2010 1.211 63