# northamerica_usa_wa051 - Oakes Peak - 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/3326 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa051 - Oakes Peak - 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: Oakes Peak # Location: # Country: United States # Northernmost_Latitude: 48.63 # Southernmost_Latitude: 48.63 # Easternmost_Longitude: -121.37 # Westernmost_Longitude: -121.37 # Elevation: 1140 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa051B # Earliest_Year: 1401 # Most_Recent_Year: 1980 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.85921962986","T2":"16.8910572491","M1":"0.0223011152882","M2":"0.398587788539"}} #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # 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 1401 0.669 1402 0.919 1403 1.107 1404 1.214 1405 1.188 1406 1.028 1407 0.805 1408 0.788 1409 0.932 1410 1.004 1411 1.274 1412 1.383 1413 0.988 1414 0.971 1415 1.125 1416 1.333 1417 1.298 1418 1.1 1419 1.019 1420 1.464 1421 1.265 1422 1.203 1423 1.231 1424 1.332 1425 1.196 1426 1.224 1427 1.234 1428 1.299 1429 1.74 1430 1.109 1431 1.21 1432 1.083 1433 1.138 1434 1.314 1435 1.048 1436 0.956 1437 1.123 1438 1.133 1439 1.136 1440 1.093 1441 1.237 1442 0.964 1443 1.028 1444 0.933 1445 1.046 1446 1.229 1447 0.946 1448 0.597 1449 1.203 1450 1.213 1451 0.921 1452 0.907 1453 1.029 1454 0.789 1455 1.045 1456 0.93 1457 0.912 1458 0.765 1459 0.594 1460 0.955 1461 0.847 1462 0.88 1463 0.918 1464 0.655 1465 0.816 1466 0.786 1467 0.684 1468 0.876 1469 0.788 1470 0.802 1471 0.86 1472 0.795 1473 0.828 1474 0.773 1475 0.828 1476 0.809 1477 0.875 1478 0.914 1479 0.781 1480 0.999 1481 0.819 1482 0.82 1483 0.752 1484 0.635 1485 0.885 1486 0.715 1487 0.824 1488 0.732 1489 0.763 1490 0.85 1491 1.074 1492 0.887 1493 0.756 1494 0.674 1495 0.596 1496 0.851 1497 0.819 1498 0.981 1499 0.912 1500 0.814 1501 0.776 1502 1.018 1503 0.831 1504 0.928 1505 0.792 1506 0.981 1507 0.962 1508 0.832 1509 0.641 1510 0.735 1511 0.867 1512 0.97 1513 0.9 1514 0.78 1515 0.856 1516 0.988 1517 0.876 1518 0.949 1519 0.813 1520 0.798 1521 0.79 1522 0.816 1523 0.737 1524 0.74 1525 0.812 1526 0.926 1527 0.851 1528 1.001 1529 0.831 1530 1.047 1531 1.046 1532 1.056 1533 0.921 1534 0.769 1535 0.899 1536 1.087 1537 1.086 1538 1.083 1539 1.012 1540 0.941 1541 0.986 1542 0.959 1543 0.999 1544 0.873 1545 1.032 1546 0.967 1547 1.032 1548 1.149 1549 1.009 1550 1.037 1551 1.065 1552 1.014 1553 1.046 1554 0.837 1555 0.71 1556 0.987 1557 1.108 1558 0.983 1559 0.857 1560 1.043 1561 0.897 1562 0.957 1563 0.827 1564 0.754 1565 0.825 1566 0.847 1567 0.897 1568 0.919 1569 0.871 1570 1.054 1571 0.998 1572 0.895 1573 1.036 1574 0.959 1575 0.832 1576 0.913 1577 0.862 1578 0.977 1579 0.915 1580 0.963 1581 0.846 1582 1.056 1583 1.047 1584 0.878 1585 0.79 1586 0.789 1587 0.72 1588 0.862 1589 0.827 1590 0.896 1591 1.009 1592 0.78 1593 1.005 1594 0.712 1595 0.786 1596 0.824 1597 1.061 1598 1.127 1599 0.981 1600 0.925 1601 0.659 1602 0.919 1603 1.034 1604 1.133 1605 0.829 1606 0.877 1607 1.005 1608 0.817 1609 0.818 1610 0.916 1611 0.85 1612 0.788 1613 0.834 1614 1.088 1615 0.996 1616 0.957 1617 0.867 1618 0.916 1619 0.985 1620 0.882 1621 0.843 1622 0.98 1623 0.951 1624 0.846 1625 0.834 1626 0.782 1627 0.999 1628 0.862 1629 1.018 1630 1.147 1631 0.84 1632 0.891 1633 1.047 1634 1.069 1635 0.963 1636 0.711 1637 0.711 1638 0.892 1639 0.939 1640 0.89 1641 0.722 1642 1.294 1643 0.927 1644 1.064 1645 1.282 1646 1.196 1647 1.024 1648 0.852 1649 0.904 1650 0.989 1651 1.236 1652 1.123 1653 0.919 1654 0.95 1655 1.055 1656 1.033 1657 1.03 1658 0.997 1659 1.035 1660 1.033 1661 1.127 1662 0.92 1663 0.938 1664 0.881 1665 1.003 1666 1.023 1667 1.029 1668 0.861 1669 1.144 1670 0.879 1671 0.9 1672 0.946 1673 1.202 1674 1.153 1675 0.943 1676 0.951 1677 1.11 1678 1.028 1679 1.15 1680 0.846 1681 1.035 1682 1.051 1683 0.825 1684 0.754 1685 0.849 1686 0.956 1687 1.173 1688 1.08 1689 1.023 1690 1.105 1691 1.085 1692 1.153 1693 1.163 1694 1.063 1695 1.117 1696 0.796 1697 0.858 1698 0.738 1699 0.781 1700 0.905 1701 0.671 1702 0.827 1703 0.744 1704 0.993 1705 1.122 1706 1.059 1707 1.009 1708 1.221 1709 0.949 1710 1.097 1711 0.925 1712 1.185 1713 1.273 1714 0.957 1715 0.559 1716 1.18 1717 1.158 1718 1.046 1719 1.14 1720 1.143 1721 1.392 1722 1.268 1723 1.446 1724 1.075 1725 0.972 1726 1.165 1727 0.976 1728 1.212 1729 1.181 1730 0.966 1731 0.98 1732 1.026 1733 1.122 1734 1.158 1735 1.129 1736 1.35 1737 1.005 1738 1.064 1739 1.253 1740 1.265 1741 1.236 1742 1.016 1743 1.144 1744 0.9 1745 0.972 1746 0.979 1747 1.275 1748 0.938 1749 1.126 1750 1.04 1751 1.084 1752 0.855 1753 1.009 1754 0.858 1755 1.029 1756 1.509 1757 1.148 1758 1.1 1759 1.182 1760 0.966 1761 1.116 1762 0.981 1763 1.127 1764 1.124 1765 1.176 1766 1.203 1767 1.28 1768 1.276 1769 1.309 1770 1.177 1771 1.055 1772 1.101 1773 1.173 1774 1.031 1775 0.756 1776 1.263 1777 1.137 1778 1.109 1779 1.115 1780 1.302 1781 0.871 1782 0.816 1783 1.184 1784 0.971 1785 0.956 1786 1.031 1787 0.884 1788 1.11 1789 1.048 1790 1.08 1791 1.282 1792 1.777 1793 1.405 1794 1.464 1795 1.455 1796 1.345 1797 0.936 1798 1.344 1799 1.129 1800 0.976 1801 0.84 1802 1.114 1803 1.192 1804 1.294 1805 1.306 1806 0.878 1807 0.945 1808 0.721 1809 1.065 1810 0.557 1811 0.915 1812 1.038 1813 0.873 1814 0.816 1815 0.903 1816 1.282 1817 1.192 1818 0.969 1819 0.661 1820 0.674 1821 0.863 1822 0.921 1823 0.843 1824 0.753 1825 0.931 1826 0.636 1827 0.702 1828 0.935 1829 1.083 1830 0.816 1831 0.971 1832 0.796 1833 1.228 1834 1.229 1835 0.811 1836 0.83 1837 1.082 1838 0.957 1839 1.081 1840 0.828 1841 0.871 1842 1.11 1843 1.134 1844 1.016 1845 0.9 1846 1.127 1847 0.957 1848 0.926 1849 0.476 1850 0.713 1851 0.858 1852 0.78 1853 0.893 1854 1.163 1855 1.29 1856 0.79 1857 1.057 1858 0.904 1859 0.803 1860 0.813 1861 0.604 1862 0.563 1863 1.032 1864 1.081 1865 0.924 1866 0.657 1867 0.796 1868 1.082 1869 1.263 1870 0.88 1871 0.807 1872 0.969 1873 1.048 1874 1.112 1875 0.863 1876 0.61 1877 0.628 1878 0.644 1879 0.747 1880 0.609 1881 0.969 1882 0.817 1883 0.973 1884 1.083 1885 1.257 1886 1.1 1887 0.813 1888 0.916 1889 1.053 1890 0.826 1891 0.86 1892 0.886 1893 0.805 1894 0.765 1895 1.052 1896 0.835 1897 0.77 1898 0.932 1899 0.59 1900 0.95 1901 0.99 1902 0.951 1903 1.003 1904 1.256 1905 1.222 1906 0.932 1907 0.72 1908 0.594 1909 0.623 1910 1.047 1911 0.861 1912 0.831 1913 0.84 1914 1.148 1915 0.936 1916 0.756 1917 0.835 1918 0.863 1919 0.814 1920 0.88 1921 0.651 1922 0.945 1923 0.911 1924 1.165 1925 0.94 1926 1.014 1927 0.632 1928 0.395 1929 0.33 1930 0.357 1931 0.241 1932 0.319 1933 0.662 1934 1.013 1935 1.048 1936 0.848 1937 0.865 1938 0.768 1939 0.791 1940 0.846 1941 0.944 1942 0.64 1943 0.784 1944 1.096 1945 0.935 1946 0.818 1947 1.07 1948 0.876 1949 0.969 1950 1.155 1951 1.424 1952 1.208 1953 1.057 1954 0.9 1955 1.126 1956 0.795 1957 1.011 1958 1.363 1959 0.845 1960 0.957 1961 0.749 1962 0.857 1963 1.097 1964 1.115 1965 1.536 1966 1.45 1967 1.316 1968 1.184 1969 0.689 1970 0.764 1971 0.71 1972 0.768 1973 1.059 1974 0.782 1975 1.074 1976 0.891 1977 1.188 1978 1.724 1979 1.847 1980 1.396