# northamerica_mexico_mexi045 - Cuauhtemoc la Fragua - 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/8547 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_mexico_mexi045 - Cuauhtemoc la Fragua - 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: Cuauhtemoc la Fragua # Location: # Country: Mexico # Northernmost_Latitude: 19.17 # Southernmost_Latitude: 19.17 # Easternmost_Longitude: -97.32 # Westernmost_Longitude: -97.32 # Elevation: 3154 m #-------------------- # Data_Collection # Collection_Name: northamerica_mexico_mexi045B # Earliest_Year: 1474 # Most_Recent_Year: 2004 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]"}}{"VSLite_parameters":{"T1":"4.54305975167","T2":"14.6167119182","M1":"0.0226127945216","M2":"0.505694671128"}} #-------------------- # 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 1474 0.847 1475 0.994 1476 1.113 1477 0.866 1478 1.044 1479 0.996 1480 1.211 1481 0.877 1482 1.657 1483 1.682 1484 1.876 1485 1.62 1486 1.813 1487 1.719 1488 1.67 1489 1.539 1490 1.784 1491 1.328 1492 1.363 1493 1.279 1494 1.279 1495 1.191 1496 0.942 1497 1.215 1498 1.63 1499 1.782 1500 1.193 1501 0.619 1502 1.173 1503 1.343 1504 0.993 1505 1.225 1506 1.273 1507 1.344 1508 0.869 1509 1.415 1510 1.117 1511 1.298 1512 1.451 1513 1.435 1514 0.982 1515 1.387 1516 1.041 1517 0.972 1518 0.957 1519 0.802 1520 1.085 1521 1.065 1522 1.025 1523 0.878 1524 0.852 1525 1 1526 0.886 1527 1.013 1528 0.667 1529 1.014 1530 1.03 1531 1.039 1532 0.925 1533 0.952 1534 0.85 1535 0.79 1536 0.968 1537 0.868 1538 0.868 1539 0.792 1540 0.924 1541 0.87 1542 0.879 1543 0.39 1544 0.616 1545 0.699 1546 0.656 1547 0.554 1548 0.55 1549 0.431 1550 0.323 1551 0.381 1552 0.806 1553 0.463 1554 0.695 1555 0.651 1556 0.875 1557 0.689 1558 0.656 1559 0.501 1560 0.776 1561 0.743 1562 0.403 1563 0.764 1564 0.449 1565 0.945 1566 0.807 1567 0.834 1568 0.726 1569 0.855 1570 0.896 1571 1.089 1572 0.858 1573 0.923 1574 0.877 1575 0.963 1576 1.17 1577 1.392 1578 1.212 1579 1.507 1580 1.063 1581 1.117 1582 0.984 1583 0.981 1584 0.949 1585 0.664 1586 0.942 1587 0.866 1588 1.058 1589 1.414 1590 1.245 1591 1.345 1592 1.448 1593 1.304 1594 0.586 1595 0.853 1596 0.625 1597 0.518 1598 0.692 1599 0.594 1600 0.612 1601 0.827 1602 0.866 1603 0.696 1604 0.827 1605 0.721 1606 0.507 1607 0.611 1608 0.697 1609 0.902 1610 1.278 1611 1.063 1612 0.925 1613 1.067 1614 1.153 1615 0.993 1616 1.09 1617 1.19 1618 1.246 1619 1.262 1620 0.902 1621 1.105 1622 0.948 1623 0.752 1624 0.855 1625 0.868 1626 0.855 1627 0.939 1628 1.01 1629 0.986 1630 1.047 1631 0.591 1632 1.046 1633 0.83 1634 0.89 1635 0.696 1636 1.054 1637 1.058 1638 0.983 1639 0.944 1640 1.014 1641 0.769 1642 1.088 1643 1.163 1644 1.253 1645 1.339 1646 0.925 1647 1.048 1648 1.13 1649 1.066 1650 1.04 1651 1.215 1652 1.062 1653 1.021 1654 0.98 1655 0.742 1656 1.173 1657 1.174 1658 0.942 1659 1.17 1660 1.302 1661 1.322 1662 1.209 1663 1.235 1664 1.334 1665 1.199 1666 0.959 1667 0.954 1668 1.062 1669 0.79 1670 0.755 1671 1.182 1672 1.087 1673 1.312 1674 0.951 1675 1.082 1676 1.266 1677 1.265 1678 1.165 1679 1.177 1680 0.956 1681 1.017 1682 0.999 1683 0.99 1684 1.034 1685 1.134 1686 1.209 1687 1.153 1688 1.321 1689 1.075 1690 1.096 1691 1.134 1692 1.337 1693 1.134 1694 0.995 1695 0.818 1696 0.873 1697 1.11 1698 0.837 1699 0.954 1700 1.016 1701 0.958 1702 0.492 1703 0.796 1704 0.699 1705 0.583 1706 0.782 1707 0.956 1708 0.902 1709 0.763 1710 0.649 1711 0.979 1712 1.06 1713 0.838 1714 0.893 1715 0.897 1716 0.978 1717 0.845 1718 0.778 1719 1.05 1720 0.817 1721 1.032 1722 1.037 1723 0.998 1724 0.861 1725 0.912 1726 0.915 1727 0.933 1728 1.227 1729 1.313 1730 0.886 1731 1.098 1732 1.129 1733 1.135 1734 1.059 1735 1.152 1736 1.315 1737 1.116 1738 1.263 1739 0.994 1740 1.159 1741 1.078 1742 0.919 1743 1.205 1744 1.146 1745 1.226 1746 1.144 1747 1.37 1748 1.123 1749 1.232 1750 0.882 1751 1.147 1752 1.488 1753 1.158 1754 1.199 1755 0.882 1756 1.216 1757 1.193 1758 1.007 1759 1.083 1760 1 1761 0.663 1762 0.965 1763 1.007 1764 0.793 1765 1.029 1766 1.061 1767 1.086 1768 1.18 1769 1.252 1770 1.107 1771 1.015 1772 1.032 1773 0.998 1774 1.107 1775 1.124 1776 0.834 1777 1.047 1778 1.11 1779 0.919 1780 0.759 1781 0.956 1782 1.167 1783 1.006 1784 1.303 1785 0.778 1786 0.586 1787 0.768 1788 0.813 1789 0.816 1790 0.51 1791 0.823 1792 1.114 1793 0.984 1794 1.199 1795 1.212 1796 1.094 1797 0.864 1798 0.839 1799 0.77 1800 1.022 1801 0.752 1802 1.135 1803 1.286 1804 1.05 1805 1.043 1806 1.201 1807 1.035 1808 0.947 1809 0.997 1810 1.021 1811 0.921 1812 1.174 1813 1.392 1814 1.237 1815 1.069 1816 1.046 1817 1.116 1818 1.014 1819 1.007 1820 0.875 1821 1.13 1822 0.799 1823 1.207 1824 1.179 1825 1.133 1826 1.113 1827 0.984 1828 1.043 1829 1.083 1830 1.075 1831 1.071 1832 1.275 1833 1.155 1834 1.186 1835 0.885 1836 0.832 1837 0.863 1838 0.839 1839 0.326 1840 0.778 1841 0.656 1842 0.799 1843 0.856 1844 0.864 1845 1.064 1846 1.126 1847 0.966 1848 1.172 1849 1.258 1850 1.245 1851 1.29 1852 1.523 1853 1.195 1854 1.226 1855 1.188 1856 1.169 1857 1.356 1858 1.057 1859 1.185 1860 0.791 1861 1.029 1862 0.853 1863 1.081 1864 0.89 1865 0.982 1866 1.071 1867 0.97 1868 0.521 1869 1.077 1870 0.958 1871 0.829 1872 0.784 1873 0.856 1874 1.072 1875 0.675 1876 0.895 1877 1.094 1878 0.555 1879 0.87 1880 0.932 1881 1.084 1882 1.006 1883 1.173 1884 0.807 1885 0.805 1886 0.992 1887 1.021 1888 1.016 1889 0.943 1890 0.819 1891 0.903 1892 0.779 1893 1.003 1894 0.526 1895 0.49 1896 0.352 1897 0.524 1898 0.979 1899 0.814 1900 0.634 1901 0.664 1902 0.504 1903 0.763 1904 1.191 1905 1.356 1906 1.689 1907 1.704 1908 1.324 1909 0.671 1910 1.079 1911 1.064 1912 0.957 1913 1.365 1914 1.135 1915 0.768 1916 1.089 1917 1.02 1918 1.063 1919 0.871 1920 1.229 1921 1.346 1922 0.849 1923 1.523 1924 0.977 1925 1.24 1926 1.346 1927 1.14 1928 0.797 1929 0.673 1930 0.933 1931 0.874 1932 0.646 1933 0.447 1934 0.982 1935 0.923 1936 0.832 1937 1.103 1938 1.117 1939 0.937 1940 1.021 1941 0.92 1942 1.193 1943 1.092 1944 0.955 1945 0.833 1946 0.958 1947 1.052 1948 0.873 1949 0.713 1950 1.295 1951 1.188 1952 1.398 1953 1.224 1954 1.107 1955 1.1 1956 0.984 1957 0.969 1958 0.812 1959 0.886 1960 0.622 1961 0.681 1962 0.455 1963 0.597 1964 0.445 1965 0.647 1966 0.811 1967 0.774 1968 1.201 1969 0.85 1970 0.807 1971 0.634 1972 1.02 1973 0.725 1974 1.313 1975 1.193 1976 1.451 1977 0.69 1978 1.079 1979 0.871 1980 0.856 1981 1.137 1982 0.969 1983 0.378 1984 0.853 1985 1.089 1986 0.951 1987 1.052 1988 0.789 1989 1.024 1990 1.027 1991 1.094 1992 1.585 1993 1.348 1994 1.172 1995 0.859 1996 1.006 1997 1.24 1998 0.584 1999 1.055 2000 1.046 2001 0.979 2002 0.596 2003 1.018 2004 1.598