# northamerica_usa_nm031 - Fort Wingate - 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/4267 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm031 - Fort Wingate - 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: Fort Wingate # Location: # Country: United States # Northernmost_Latitude: 35.43 # Southernmost_Latitude: 35.43 # Easternmost_Longitude: -108.53 # Westernmost_Longitude: -108.53 # Elevation: 2268 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm031B # Earliest_Year: 1477 # Most_Recent_Year: 1972 # 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":"4.28007636132","T2":"16.2515963164","M1":"0.0227344352428","M2":"0.464827741901"}} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1477 2.013 1478 1.265 1479 0.906 1480 0.635 1481 1.04 1482 1.3 1483 1.353 1484 1.493 1485 1.265 1486 1.57 1487 0.492 1488 1.138 1489 1.215 1490 1.191 1491 1.328 1492 1.051 1493 0.711 1494 0.906 1495 0.302 1496 0.799 1497 0.831 1498 1.424 1499 1.053 1500 0.813 1501 0.701 1502 1.182 1503 1.133 1504 1.225 1505 1.267 1506 0.575 1507 0.907 1508 0.896 1509 1.232 1510 0.717 1511 1.046 1512 0.92 1513 1.092 1514 1.113 1515 1.101 1516 0.487 1517 0.48 1518 0.717 1519 1.207 1520 1.231 1521 0.991 1522 0.622 1523 0.474 1524 0.817 1525 0.863 1526 1.21 1527 0.751 1528 0.813 1529 0.71 1530 1.108 1531 0.958 1532 0.791 1533 0.756 1534 0.956 1535 0.923 1536 1.149 1537 1.267 1538 0.67 1539 1.063 1540 1.055 1541 0.815 1542 0.373 1543 0.667 1544 0.592 1545 0.547 1546 0.698 1547 0.7 1548 0.602 1549 1.034 1550 1.116 1551 0.734 1552 0.733 1553 1.095 1554 0.711 1555 1.2 1556 1.287 1557 1.187 1558 1.006 1559 0.707 1560 0.511 1561 0.476 1562 0.646 1563 1.003 1564 1.165 1565 1.465 1566 0.944 1567 0.632 1568 0.689 1569 1.368 1570 1.1 1571 0.936 1572 0.91 1573 0.303 1574 0.325 1575 0.617 1576 0.509 1577 0.808 1578 0.503 1579 0.004 1580 0.04 1581 0.966 1582 0.911 1583 0.534 1584 0.004 1585 0.22 1586 1.092 1587 1.567 1588 1.537 1589 0.998 1590 0.304 1591 1.251 1592 0.324 1593 0.446 1594 1.936 1595 1.623 1596 1.768 1597 0.931 1598 0.945 1599 1.641 1600 0.281 1601 0.948 1602 1.039 1603 1.331 1604 0.993 1605 1.291 1606 0.983 1607 1.068 1608 1.273 1609 1.417 1610 1.695 1611 1.219 1612 1.189 1613 1.111 1614 1.299 1615 1.159 1616 0.988 1617 1.493 1618 1.575 1619 0.975 1620 1.595 1621 1.725 1622 0.913 1623 0.606 1624 0.501 1625 0.716 1626 0.736 1627 1.24 1628 0.784 1629 1.292 1630 1.411 1631 0.782 1632 0.519 1633 1.488 1634 1.262 1635 1.479 1636 1.288 1637 1.336 1638 0.908 1639 1.532 1640 1.599 1641 1.176 1642 1.075 1643 1.153 1644 1.037 1645 0.782 1646 1.155 1647 1.222 1648 0.483 1649 0.8 1650 1.224 1651 1.415 1652 1.424 1653 0.911 1654 0.734 1655 1.401 1656 1.652 1657 0.684 1658 0.463 1659 1.142 1660 1.493 1661 1.322 1662 0.978 1663 1.192 1664 0.708 1665 1.206 1666 0.687 1667 0.41 1668 0.224 1669 0.54 1670 0.465 1671 0.947 1672 0.783 1673 1.301 1674 0.729 1675 1.147 1676 0.763 1677 0.705 1678 0.525 1679 0.982 1680 1.575 1681 1.372 1682 1.18 1683 1.505 1684 0.584 1685 -0.006 1686 1.228 1687 1.251 1688 1.18 1689 1.242 1690 1.486 1691 1.254 1692 1.656 1693 1.396 1694 0.986 1695 1.169 1696 0.685 1697 0.989 1698 1.008 1699 1.618 1700 0.635 1701 1.393 1702 1.005 1703 0.931 1704 0.724 1705 1.092 1706 1.42 1707 1.032 1708 0.797 1709 1.062 1710 1.308 1711 1.233 1712 1.404 1713 0.807 1714 1.114 1715 0.8 1716 0.612 1717 0.778 1718 1.147 1719 0.709 1720 1.633 1721 0.85 1722 0.707 1723 1.259 1724 0.662 1725 1.275 1726 1.408 1727 1.127 1728 0.507 1729 -0.007 1730 0.615 1731 0.831 1732 1.04 1733 0.423 1734 1.037 1735 0.572 1736 0.894 1737 0.934 1738 1.099 1739 0.651 1740 0.98 1741 1.06 1742 0.757 1743 1.355 1744 0.611 1745 1.472 1746 1.608 1747 1.44 1748 0.204 1749 1.352 1750 0.942 1751 0.503 1752 0.287 1753 0.288 1754 0.933 1755 0.605 1756 0.559 1757 0.459 1758 1.238 1759 1.354 1760 1.161 1761 0.76 1762 1.143 1763 0.484 1764 1.149 1765 0.772 1766 1.178 1767 1.107 1768 1.486 1769 1.356 1770 1.192 1771 1.619 1772 1.534 1773 0.413 1774 0.984 1775 1.102 1776 0.862 1777 0.394 1778 0.705 1779 0.594 1780 0.157 1781 0.828 1782 0.387 1783 1.351 1784 1.628 1785 0.629 1786 0.935 1787 1.449 1788 0.75 1789 1.026 1790 1.421 1791 1.608 1792 1.564 1793 1.556 1794 1.223 1795 1.035 1796 0.628 1797 0.546 1798 0.827 1799 0.735 1800 0.465 1801 0.591 1802 0.776 1803 0.627 1804 1.155 1805 0.646 1806 0.23 1807 1.283 1808 0.992 1809 0.967 1810 0.727 1811 0.982 1812 0.839 1813 0.876 1814 1.124 1815 1.424 1816 1.876 1817 1.159 1818 -0.009 1819 0.181 1820 -0.009 1821 0.7 1822 -0.009 1823 0.179 1824 0.719 1825 0.833 1826 0.767 1827 0.668 1828 1.558 1829 0.796 1830 1.156 1831 1.003 1832 0.943 1833 1.188 1834 0.905 1835 1.056 1836 0.9 1837 1.372 1838 1.324 1839 1.618 1840 1.459 1841 1.41 1842 0.611 1843 0.775 1844 1.593 1845 1.13 1846 1.354 1847 0.255 1848 1.369 1849 2.068 1850 1.357 1851 0.674 1852 1.41 1853 1.329 1854 1.041 1855 1.383 1856 1.585 1857 0.82 1858 1.595 1859 1.121 1860 1.221 1861 -0.009 1862 1.372 1863 0.603 1864 0.535 1865 1.035 1866 1.622 1867 1.599 1868 1.82 1869 1.271 1870 1.017 1871 0.317 1872 0.523 1873 0.485 1874 1.23 1875 0.778 1876 0.692 1877 0.962 1878 0.701 1879 0.201 1880 -0.009 1881 0.114 1882 0.884 1883 0.802 1884 1.246 1885 1.521 1886 1.412 1887 0.968 1888 1.506 1889 1.115 1890 1.069 1891 1.277 1892 0.6 1893 0.539 1894 0.371 1895 1.004 1896 0.574 1897 0.855 1898 0.779 1899 0.177 1900 0.31 1901 0.82 1902 0.449 1903 0.86 1904 -0.009 1905 1.556 1906 1.583 1907 1.79 1908 1.474 1909 1.143 1910 1.066 1911 1.715 1912 1.099 1913 0.841 1914 1.466 1915 1.632 1916 1.816 1917 1.441 1918 0.99 1919 1.357 1920 1.739 1921 1.146 1922 1.099 1923 1.086 1924 1.438 1925 0.823 1926 1.159 1927 1.402 1928 0.673 1929 0.868 1930 0.978 1931 1.022 1932 1.32 1933 0.973 1934 1.055 1935 1.38 1936 1.018 1937 1.604 1938 1.363 1939 0.917 1940 0.794 1941 1.746 1942 1.274 1943 0.896 1944 0.923 1945 1.019 1946 0.694 1947 0.862 1948 1.115 1949 1.339 1950 0.401 1951 0.212 1952 1.287 1953 0.615 1954 1.172 1955 0.447 1956 0.481 1957 1.242 1958 0.813 1959 0.685 1960 1.043 1961 0.604 1962 1.206 1963 0.962 1964 0.39 1965 1.327 1966 0.779 1967 0.512 1968 0.931 1969 1.033 1970 0.996 1971 -0.008 1972 1.013