# northamerica_mexico_mexi001 - San Pedro Martir Low - 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/5044 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_mexico_mexi001 - San Pedro Martir Low - 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: San Pedro Martir Low # Location: # Country: Mexico # Northernmost_Latitude: 31.17 # Southernmost_Latitude: 31.17 # Easternmost_Longitude: -115.5 # Westernmost_Longitude: -115.5 # Elevation: 2133 m #-------------------- # Data_Collection # Collection_Name: northamerica_mexico_mexi001B # Earliest_Year: 1449 # Most_Recent_Year: 1971 # 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":"5.13276963631","T2":"17.2470744078","M1":"0.0219501970436","M2":"0.378154536786"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1449 0.992 1450 1.141 1451 1.219 1452 1.076 1453 0.932 1454 0.86 1455 0.993 1456 0.847 1457 0.988 1458 1.029 1459 0.721 1460 1.038 1461 0.884 1462 0.986 1463 1.078 1464 1.338 1465 0.784 1466 0.931 1467 1.14 1468 1.08 1469 1.008 1470 0.864 1471 0.631 1472 0.896 1473 1.178 1474 1.065 1475 0.98 1476 1.4 1477 1.29 1478 1.256 1479 1.139 1480 1.015 1481 1.031 1482 0.98 1483 1.054 1484 1.173 1485 1.086 1486 0.685 1487 1.009 1488 0.897 1489 1.221 1490 1.198 1491 0.962 1492 0.5 1493 1.048 1494 0.867 1495 0.493 1496 0.841 1497 0.899 1498 1.254 1499 0.95 1500 0.855 1501 1.023 1502 0.968 1503 0.868 1504 1.489 1505 1.307 1506 0.632 1507 1.275 1508 1.167 1509 1.43 1510 0.463 1511 1.554 1512 1.168 1513 1.558 1514 1.326 1515 0.998 1516 0.843 1517 0.995 1518 1.08 1519 1.283 1520 0.944 1521 0.292 1522 0.771 1523 1.097 1524 1.28 1525 1.439 1526 1.318 1527 1.111 1528 0.751 1529 1.185 1530 1.369 1531 1.041 1532 1.046 1533 1.08 1534 1.133 1535 1.029 1536 1.161 1537 1.156 1538 0.744 1539 1.353 1540 1.459 1541 1.294 1542 0.502 1543 1.244 1544 0.985 1545 0.728 1546 1.107 1547 1.006 1548 0.823 1549 1.347 1550 1.099 1551 0.953 1552 1.034 1553 0.864 1554 0.839 1555 1.039 1556 0.962 1557 0.703 1558 0.671 1559 0.804 1560 0.911 1561 0.735 1562 0.912 1563 0.664 1564 1.063 1565 1.09 1566 0.504 1567 0.821 1568 1.097 1569 1.036 1570 0.95 1571 0.841 1572 0.91 1573 0.446 1574 0.356 1575 0.595 1576 0.785 1577 0.7 1578 0.706 1579 0.426 1580 0.675 1581 0.895 1582 1.123 1583 0.916 1584 0.298 1585 0.257 1586 0.818 1587 0.704 1588 0.176 1589 0.809 1590 0.452 1591 0.608 1592 0.643 1593 0.855 1594 0.829 1595 0.865 1596 1.088 1597 0.596 1598 1.088 1599 1.11 1600 0.944 1601 0.869 1602 0.739 1603 0.969 1604 1.036 1605 0.885 1606 0.842 1607 0.729 1608 0.96 1609 0.812 1610 1.213 1611 1.032 1612 0.673 1613 0.078 1614 0.825 1615 0.826 1616 0.759 1617 1.153 1618 0.979 1619 0.836 1620 0.788 1621 1.073 1622 0.897 1623 0.57 1624 0.571 1625 1.006 1626 0.466 1627 0.843 1628 0.954 1629 1.119 1630 1.013 1631 0.931 1632 0.272 1633 0.498 1634 0.854 1635 1.112 1636 1.276 1637 0.997 1638 1.357 1639 1.023 1640 1.218 1641 1.098 1642 0.983 1643 0.892 1644 1.187 1645 1.078 1646 1.043 1647 1.176 1648 0.47 1649 1.138 1650 1.314 1651 1.375 1652 1.28 1653 0.882 1654 0.128 1655 1.249 1656 1.164 1657 1.138 1658 1.214 1659 1.231 1660 1.458 1661 1.272 1662 1.517 1663 1.641 1664 1.194 1665 0.299 1666 1.321 1667 1.076 1668 0.855 1669 0.547 1670 0.114 1671 1.202 1672 1.042 1673 0.918 1674 1.078 1675 0.621 1676 0.322 1677 1.157 1678 0.893 1679 1.051 1680 1.15 1681 1.21 1682 1.252 1683 1.226 1684 1.103 1685 1.128 1686 1.145 1687 1.2 1688 1.239 1689 1.235 1690 1.006 1691 0.748 1692 1.316 1693 1.141 1694 1.205 1695 1.038 1696 1.027 1697 0.953 1698 0.978 1699 1.444 1700 1.162 1701 1.297 1702 1.171 1703 0.573 1704 0.995 1705 1.15 1706 1.044 1707 1.061 1708 1.081 1709 0.808 1710 1.004 1711 0.828 1712 0.876 1713 0.802 1714 1.108 1715 0.961 1716 0.605 1717 1.138 1718 1.212 1719 1.271 1720 1.301 1721 1.389 1722 1.287 1723 1.486 1724 1.22 1725 1.438 1726 1.609 1727 1.012 1728 0.957 1729 0.85 1730 1.143 1731 1.196 1732 1.132 1733 0.796 1734 1.051 1735 0.643 1736 0.857 1737 1.261 1738 1.21 1739 0.817 1740 0.995 1741 1.249 1742 0.786 1743 1.059 1744 1.056 1745 1.196 1746 1.074 1747 1.429 1748 1.25 1749 1.38 1750 1.255 1751 0.99 1752 0.115 1753 0.393 1754 0.234 1755 0.578 1756 0.735 1757 0.733 1758 1.061 1759 1.262 1760 1.224 1761 0.847 1762 1.124 1763 0.501 1764 0.797 1765 0.819 1766 1.054 1767 0.883 1768 0.992 1769 1.132 1770 1.012 1771 1.083 1772 1.261 1773 1.246 1774 1.239 1775 1.361 1776 1.116 1777 0.904 1778 0.715 1779 0.896 1780 0.843 1781 0.961 1782 0.335 1783 1.151 1784 1.448 1785 1.105 1786 1.273 1787 1.238 1788 1.038 1789 1.063 1790 0.671 1791 1.13 1792 1.496 1793 1.374 1794 1.015 1795 1.037 1796 0.874 1797 0.761 1798 0.965 1799 1.149 1800 1.489 1801 1.335 1802 1.391 1803 1.263 1804 1.081 1805 1.185 1806 1.131 1807 0.838 1808 1.053 1809 0.631 1810 1.185 1811 1.117 1812 1.018 1813 0.965 1814 0.968 1815 1.013 1816 1.207 1817 1.193 1818 1.234 1819 0.863 1820 0.052 1821 1.09 1822 0.752 1823 0.689 1824 1.174 1825 0.985 1826 1.464 1827 1.311 1828 1.154 1829 0.311 1830 0.76 1831 0.774 1832 0.951 1833 0.971 1834 1.021 1835 1.102 1836 1.147 1837 1.062 1838 1.183 1839 1.143 1840 1.11 1841 0.682 1842 0.969 1843 0.492 1844 0.984 1845 0.396 1846 1.174 1847 0.315 1848 1.262 1849 1.014 1850 1.265 1851 1.068 1852 1.065 1853 1.261 1854 1.225 1855 1.337 1856 1.283 1857 1.01 1858 1.212 1859 1.047 1860 0.939 1861 1.208 1862 1.205 1863 1.118 1864 0.936 1865 1.01 1866 1.207 1867 0.887 1868 1.231 1869 1.094 1870 0.865 1871 0.735 1872 0.703 1873 0.725 1874 0.922 1875 0.905 1876 0.805 1877 0.68 1878 1.002 1879 0.57 1880 1.013 1881 0.696 1882 0.719 1883 0.688 1884 1.139 1885 1.036 1886 1.073 1887 1.057 1888 0.895 1889 0.928 1890 1.232 1891 1.26 1892 1.262 1893 1.066 1894 0.783 1895 0.91 1896 0.954 1897 0.979 1898 0.793 1899 0.586 1900 0.247 1901 0.802 1902 0.513 1903 0.709 1904 0.488 1905 1.079 1906 0.945 1907 1.059 1908 1.069 1909 1.26 1910 1.119 1911 1.068 1912 0.85 1913 0.864 1914 1.061 1915 0.867 1916 0.952 1917 1.027 1918 1.178 1919 1.235 1920 1.03 1921 0.714 1922 1.139 1923 0.766 1924 0.818 1925 0.666 1926 1.133 1927 0.959 1928 0.737 1929 0.424 1930 1.232 1931 1.263 1932 0.921 1933 0.788 1934 0.345 1935 0.983 1936 0.953 1937 0.878 1938 0.949 1939 0.854 1940 1.145 1941 1.025 1942 0.994 1943 0.959 1944 0.736 1945 0.727 1946 0.95 1947 0.885 1948 -0.029 1949 0.843 1950 0.562 1951 0.781 1952 0.775 1953 0.991 1954 1.074 1955 0.672 1956 0.351 1957 1.134 1958 1.169 1959 1.294 1960 0.938 1961 0.313 1962 1.106 1963 0.788 1964 0.483 1965 1.16 1966 1.121 1967 1.378 1968 1.192 1969 1.146 1970 1.178 1971 0.762