# northamerica_usa_wa050 - N. Fork White Creek - 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/3323 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa050 - N. Fork White Creek - 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: N. Fork White Creek # Location: # Country: United States # Northernmost_Latitude: 47.02 # Southernmost_Latitude: 47.02 # Easternmost_Longitude: -121.7 # Westernmost_Longitude: -121.7 # Elevation: 914 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa050B # Earliest_Year: 1447 # 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":"4.78888943012","T2":"14.6676364106","M1":"0.0230080210153","M2":"0.545177175933"}} #-------------------- # 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 1447 1.103 1448 1.023 1449 0.873 1450 0.881 1451 0.861 1452 0.952 1453 0.946 1454 0.85 1455 0.858 1456 0.865 1457 1.014 1458 0.952 1459 0.932 1460 0.989 1461 0.889 1462 0.94 1463 1.146 1464 1.008 1465 0.872 1466 0.881 1467 0.89 1468 1.004 1469 0.87 1470 0.78 1471 0.735 1472 0.634 1473 0.796 1474 0.641 1475 0.641 1476 0.735 1477 0.654 1478 0.733 1479 0.662 1480 0.716 1481 0.804 1482 0.913 1483 0.905 1484 1.108 1485 1.129 1486 1.166 1487 1.083 1488 1.11 1489 1.169 1490 1.126 1491 1.094 1492 1.019 1493 1.117 1494 0.934 1495 0.956 1496 0.975 1497 0.986 1498 0.843 1499 1.026 1500 1.317 1501 1.109 1502 0.951 1503 1.225 1504 1.461 1505 1.585 1506 1.367 1507 1.298 1508 1.348 1509 1.11 1510 0.963 1511 0.958 1512 1.043 1513 0.969 1514 1.056 1515 0.927 1516 0.844 1517 0.931 1518 0.763 1519 1.099 1520 1.194 1521 1.078 1522 1.112 1523 1.189 1524 1.089 1525 1.288 1526 1.187 1527 1.141 1528 1.246 1529 1.072 1530 1.204 1531 0.939 1532 1.104 1533 1.033 1534 0.925 1535 1.104 1536 1.029 1537 0.889 1538 0.85 1539 0.909 1540 0.903 1541 0.946 1542 0.929 1543 1.009 1544 0.988 1545 0.834 1546 0.733 1547 0.923 1548 0.87 1549 0.747 1550 0.842 1551 0.873 1552 0.869 1553 1.085 1554 0.904 1555 1.096 1556 0.918 1557 1.055 1558 1.062 1559 1.134 1560 1.034 1561 0.95 1562 0.819 1563 0.889 1564 1.115 1565 1.128 1566 1.422 1567 1.188 1568 0.973 1569 1.05 1570 1.017 1571 1.02 1572 1.07 1573 1.027 1574 1.167 1575 1.214 1576 0.751 1577 0.909 1578 1.015 1579 0.979 1580 0.923 1581 0.743 1582 0.813 1583 0.91 1584 0.844 1585 0.963 1586 1.026 1587 1 1588 1.205 1589 0.988 1590 1.16 1591 1.012 1592 0.836 1593 0.811 1594 0.865 1595 0.778 1596 0.913 1597 1.264 1598 1.252 1599 1.4 1600 1.383 1601 1.232 1602 1.121 1603 1.037 1604 0.917 1605 0.889 1606 0.996 1607 1.125 1608 0.959 1609 0.928 1610 0.824 1611 0.941 1612 0.929 1613 0.682 1614 0.772 1615 0.761 1616 0.909 1617 0.889 1618 0.741 1619 0.776 1620 0.689 1621 0.648 1622 0.83 1623 0.626 1624 0.865 1625 0.871 1626 0.827 1627 0.73 1628 0.653 1629 0.777 1630 0.812 1631 0.963 1632 1.002 1633 1.031 1634 0.847 1635 0.603 1636 0.769 1637 0.812 1638 0.904 1639 0.804 1640 0.9 1641 0.776 1642 0.761 1643 0.73 1644 0.736 1645 0.774 1646 0.892 1647 0.703 1648 0.884 1649 0.79 1650 0.681 1651 0.849 1652 0.956 1653 0.79 1654 0.953 1655 0.928 1656 1.003 1657 0.796 1658 0.954 1659 1.148 1660 1.018 1661 1.036 1662 0.951 1663 0.686 1664 0.786 1665 0.609 1666 0.769 1667 0.79 1668 0.907 1669 0.918 1670 0.705 1671 0.801 1672 0.78 1673 0.66 1674 0.671 1675 0.896 1676 0.919 1677 0.805 1678 1.011 1679 0.902 1680 0.852 1681 1.031 1682 1.186 1683 1.105 1684 0.906 1685 1.298 1686 1.027 1687 1.162 1688 0.948 1689 1.102 1690 1.035 1691 1.16 1692 1.27 1693 1.057 1694 0.859 1695 0.89 1696 0.824 1697 1.034 1698 0.979 1699 1.026 1700 1.187 1701 0.844 1702 0.964 1703 0.965 1704 0.903 1705 0.829 1706 0.861 1707 0.938 1708 0.777 1709 1.033 1710 1.158 1711 1.091 1712 1.099 1713 1.03 1714 1.204 1715 1.214 1716 1.122 1717 0.974 1718 0.802 1719 1.096 1720 0.973 1721 1.238 1722 1.535 1723 1.412 1724 1.319 1725 1.364 1726 1.442 1727 1.447 1728 1.144 1729 1.286 1730 1.037 1731 0.924 1732 1.096 1733 1.245 1734 1.149 1735 1.194 1736 0.974 1737 1.042 1738 1.113 1739 1.145 1740 1.071 1741 0.855 1742 0.824 1743 0.899 1744 0.756 1745 0.888 1746 0.72 1747 0.938 1748 0.63 1749 0.647 1750 0.789 1751 0.742 1752 0.831 1753 0.844 1754 0.66 1755 0.769 1756 0.869 1757 0.99 1758 0.918 1759 0.942 1760 0.849 1761 0.966 1762 0.976 1763 0.92 1764 0.819 1765 0.844 1766 0.905 1767 0.759 1768 0.805 1769 0.704 1770 0.968 1771 1.048 1772 1.019 1773 1.263 1774 1.103 1775 0.983 1776 0.787 1777 0.983 1778 1.017 1779 0.941 1780 1.115 1781 1.123 1782 0.902 1783 0.862 1784 0.888 1785 0.908 1786 1.098 1787 0.865 1788 1.101 1789 1.188 1790 0.993 1791 0.883 1792 0.976 1793 1.024 1794 1.058 1795 1.035 1796 1.1 1797 1.001 1798 1.087 1799 0.874 1800 0.997 1801 1.2 1802 1.068 1803 1.124 1804 1.199 1805 1.166 1806 1.234 1807 0.97 1808 0.921 1809 0.768 1810 0.781 1811 0.83 1812 0.858 1813 0.894 1814 0.887 1815 0.85 1816 0.806 1817 0.957 1818 0.885 1819 0.953 1820 0.913 1821 0.726 1822 0.872 1823 0.814 1824 0.825 1825 1.033 1826 0.98 1827 0.827 1828 0.808 1829 0.963 1830 0.858 1831 0.914 1832 1.012 1833 1.158 1834 1.084 1835 0.947 1836 0.875 1837 0.862 1838 0.957 1839 1.203 1840 0.937 1841 0.978 1842 0.909 1843 0.998 1844 1.146 1845 1.16 1846 1.109 1847 0.804 1848 0.853 1849 0.696 1850 0.719 1851 0.941 1852 0.812 1853 0.825 1854 0.917 1855 1.187 1856 1.063 1857 0.969 1858 1.153 1859 0.994 1860 1.195 1861 1.227 1862 0.91 1863 1.131 1864 0.809 1865 0.873 1866 0.912 1867 0.878 1868 1.063 1869 0.919 1870 1.182 1871 0.946 1872 0.988 1873 1.038 1874 0.933 1875 1.098 1876 1.088 1877 1.18 1878 1.056 1879 1.125 1880 0.846 1881 0.897 1882 1.05 1883 0.869 1884 0.881 1885 0.903 1886 0.97 1887 0.87 1888 0.983 1889 1.073 1890 0.84 1891 1.067 1892 1.242 1893 1.126 1894 1.04 1895 0.851 1896 0.896 1897 0.648 1898 0.851 1899 0.942 1900 1.264 1901 1.183 1902 1.001 1903 1.034 1904 1.098 1905 1.017 1906 0.838 1907 0.862 1908 1.121 1909 0.968 1910 0.861 1911 0.935 1912 0.977 1913 1.142 1914 1.063 1915 1.068 1916 1.235 1917 1.148 1918 0.984 1919 1.147 1920 1.227 1921 1.154 1922 0.823 1923 0.839 1924 0.873 1925 0.913 1926 0.921 1927 0.921 1928 0.997 1929 0.953 1930 0.837 1931 0.891 1932 0.938 1933 1.07 1934 1.02 1935 1.121 1936 0.915 1937 1.019 1938 0.961 1939 0.718 1940 0.925 1941 0.97 1942 1.113 1943 1.454 1944 1.537 1945 1.203 1946 1.121 1947 1.224 1948 1.311 1949 0.848 1950 1.068 1951 0.895 1952 0.962 1953 0.956 1954 1.148 1955 1.316 1956 0.953 1957 0.991 1958 1.185 1959 0.983 1960 1.134 1961 1.076 1962 0.835 1963 1.13 1964 1.179 1965 1.078 1966 0.863 1967 0.916 1968 0.841 1969 0.948 1970 1.177 1971 0.887 1972 0.905 1973 1.042 1974 0.864 1975 0.915 1976 1.191 1977 1.323 1978 1.122 1979 1.29 1980 0.125