# northamerica_usa_mo041 - Upper Current River - 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/4950 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo041 - Upper Current River - 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: Upper Current River # Location: # Country: United States # Northernmost_Latitude: 37.43 # Southernmost_Latitude: 37.43 # Easternmost_Longitude: -91.65 # Westernmost_Longitude: -91.65 # Elevation: 244 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo041B # Earliest_Year: 1410 # Most_Recent_Year: 1991 # 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":"4.55223552123","T2":"15.0314178995","M1":"0.0222162135637","M2":"0.577849655522"}} #-------------------- # Species # Species_Name: eastern red cedar # Species_Code: JUVI #-------------------- # 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 1410 0.899 1411 0.169 1412 1.004 1413 1.023 1414 0.724 1415 0.316 1416 1.517 1417 2.816 1418 1.615 1419 1.465 1420 0.877 1421 0.726 1422 0.194 1423 0.835 1424 1.235 1425 1.248 1426 1.261 1427 1.115 1428 1.091 1429 0.49 1430 0.835 1431 0.812 1432 1.112 1433 0.885 1434 0.827 1435 1.303 1436 1.003 1437 0.931 1438 0.821 1439 0.744 1440 0.729 1441 1.006 1442 0.719 1443 1.044 1444 0.959 1445 0.908 1446 1.088 1447 1.377 1448 0.758 1449 1.156 1450 1.256 1451 0.759 1452 0.921 1453 1.027 1454 0.996 1455 1.251 1456 1.08 1457 1.115 1458 0.873 1459 1.468 1460 0.77 1461 0.995 1462 1.214 1463 0.56 1464 0.794 1465 1.082 1466 0.99 1467 0.88 1468 0.818 1469 0.534 1470 0.855 1471 0.538 1472 0.731 1473 0.729 1474 0.882 1475 0.876 1476 1.028 1477 0.85 1478 1.03 1479 1.604 1480 1.333 1481 1.325 1482 1.362 1483 1.042 1484 0.819 1485 0.828 1486 0.794 1487 1.219 1488 0.597 1489 0.319 1490 1.035 1491 0.648 1492 0.711 1493 0.661 1494 0.717 1495 0.949 1496 0.762 1497 1.046 1498 0.902 1499 0.975 1500 1.036 1501 0.765 1502 0.666 1503 0.847 1504 1.189 1505 0.953 1506 0.941 1507 1.038 1508 1.094 1509 0.772 1510 0.842 1511 0.521 1512 0.94 1513 0.851 1514 1.309 1515 1.177 1516 1.224 1517 0.74 1518 0.736 1519 1.367 1520 1.125 1521 1.123 1522 1.068 1523 0.976 1524 0.914 1525 1.081 1526 1.05 1527 1.338 1528 0.949 1529 1.045 1530 0.986 1531 1.317 1532 1.319 1533 1.059 1534 1.008 1535 1.054 1536 0.982 1537 0.648 1538 0.583 1539 1.037 1540 0.961 1541 0.71 1542 0.975 1543 0.965 1544 0.857 1545 1.198 1546 1.158 1547 1.221 1548 2.179 1549 1.229 1550 1.743 1551 1.312 1552 1.771 1553 1.604 1554 1.128 1555 1.232 1556 1.244 1557 1.08 1558 1.05 1559 0.859 1560 0.85 1561 0.804 1562 0.902 1563 0.842 1564 0.773 1565 0.82 1566 0.766 1567 0.963 1568 0.682 1569 0.517 1570 0.239 1571 0.653 1572 0.869 1573 0.709 1574 0.563 1575 0.786 1576 0.824 1577 0.58 1578 0.905 1579 0.72 1580 1.045 1581 1.248 1582 1.016 1583 1.164 1584 1.033 1585 1.221 1586 1.089 1587 0.994 1588 1.279 1589 1.085 1590 0.621 1591 0.777 1592 1.062 1593 1.069 1594 0.695 1595 0.514 1596 1.063 1597 0.807 1598 0.798 1599 1.071 1600 0.872 1601 0.706 1602 0.898 1603 1.104 1604 0.854 1605 0.902 1606 0.899 1607 0.778 1608 0.667 1609 1.064 1610 1.206 1611 1.03 1612 1.095 1613 1.413 1614 1.21 1615 1.279 1616 0.868 1617 1.062 1618 0.933 1619 0.953 1620 0.808 1621 1.225 1622 1.11 1623 0.837 1624 0.994 1625 0.718 1626 0.847 1627 0.715 1628 0.907 1629 0.932 1630 0.896 1631 0.876 1632 1.004 1633 0.575 1634 0.911 1635 1.019 1636 1.181 1637 1.088 1638 0.695 1639 0.878 1640 0.867 1641 0.978 1642 0.785 1643 0.88 1644 0.795 1645 0.664 1646 0.644 1647 0.906 1648 0.97 1649 0.882 1650 0.846 1651 0.873 1652 0.792 1653 0.809 1654 0.594 1655 0.669 1656 0.955 1657 1.062 1658 1.015 1659 0.918 1660 0.93 1661 1.416 1662 1.176 1663 1.138 1664 0.969 1665 0.769 1666 1.215 1667 1.274 1668 0.777 1669 0.954 1670 0.892 1671 1.113 1672 1.039 1673 1.332 1674 1.108 1675 1.186 1676 1.105 1677 1.193 1678 1.002 1679 1.135 1680 1.112 1681 0.828 1682 0.687 1683 0.764 1684 0.761 1685 0.907 1686 0.811 1687 0.566 1688 0.635 1689 0.715 1690 0.903 1691 0.619 1692 1.121 1693 0.81 1694 1.342 1695 1.179 1696 1.058 1697 0.969 1698 0.889 1699 1.068 1700 1.119 1701 1.084 1702 1.076 1703 0.766 1704 0.856 1705 0.465 1706 0.807 1707 0.966 1708 0.859 1709 0.689 1710 0.948 1711 1.215 1712 1.368 1713 1.28 1714 1.4 1715 1.327 1716 1.451 1717 1.159 1718 1.005 1719 0.939 1720 1.001 1721 1.01 1722 0.986 1723 0.922 1724 1.156 1725 1.184 1726 1.235 1727 1.367 1728 0.993 1729 1.213 1730 0.936 1731 0.932 1732 1.06 1733 1.096 1734 1.051 1735 0.804 1736 0.719 1737 0.959 1738 1.265 1739 1.44 1740 1.455 1741 1.084 1742 0.847 1743 1.188 1744 1.305 1745 1.367 1746 1.016 1747 1.3 1748 0.953 1749 0.879 1750 1.061 1751 1.166 1752 1.209 1753 0.981 1754 1.12 1755 0.863 1756 1.245 1757 1.04 1758 0.963 1759 1.286 1760 1.165 1761 1.229 1762 0.823 1763 1.125 1764 0.864 1765 0.846 1766 1.055 1767 0.892 1768 0.874 1769 1.084 1770 1.286 1771 1.117 1772 0.955 1773 0.717 1774 0.734 1775 0.884 1776 1.267 1777 1.119 1778 1.303 1779 1.502 1780 0.897 1781 0.953 1782 0.728 1783 0.965 1784 0.59 1785 0.949 1786 0.936 1787 0.607 1788 0.773 1789 0.784 1790 0.569 1791 0.774 1792 0.788 1793 0.803 1794 1.07 1795 0.864 1796 1.126 1797 1.016 1798 0.955 1799 0.721 1800 0.956 1801 0.8 1802 1.021 1803 0.821 1804 0.902 1805 1.096 1806 1.055 1807 0.766 1808 1.122 1809 0.895 1810 1.048 1811 0.912 1812 0.98 1813 0.929 1814 0.951 1815 0.943 1816 0.966 1817 1.006 1818 0.904 1819 0.847 1820 0.782 1821 0.733 1822 0.946 1823 0.815 1824 1.061 1825 1.291 1826 0.804 1827 1.329 1828 1.084 1829 0.872 1830 1.196 1831 0.933 1832 0.765 1833 1.038 1834 1.07 1835 1.01 1836 0.72 1837 1.034 1838 0.856 1839 0.792 1840 0.96 1841 0.8 1842 1.101 1843 0.835 1844 0.887 1845 1.087 1846 0.856 1847 1.023 1848 0.83 1849 0.947 1850 0.884 1851 0.767 1852 0.83 1853 0.926 1854 0.991 1855 0.584 1856 0.821 1857 1.246 1858 1.483 1859 1.365 1860 0.915 1861 1.15 1862 1.125 1863 1.26 1864 0.724 1865 0.845 1866 0.871 1867 0.877 1868 0.745 1869 1.313 1870 1.144 1871 1.036 1872 0.903 1873 0.707 1874 0.717 1875 0.809 1876 1.216 1877 1.212 1878 1.263 1879 0.625 1880 0.852 1881 0.444 1882 0.956 1883 0.997 1884 1.018 1885 0.957 1886 0.702 1887 0.821 1888 0.867 1889 1.187 1890 0.738 1891 0.817 1892 0.875 1893 0.851 1894 0.777 1895 0.433 1896 0.861 1897 1.099 1898 0.643 1899 0.497 1900 0.922 1901 0.605 1902 0.522 1903 1.639 1904 1.541 1905 1.262 1906 1.02 1907 1.372 1908 1.101 1909 1.404 1910 1.176 1911 0.696 1912 0.943 1913 0.975 1914 0.765 1915 1.298 1916 1.145 1917 1.195 1918 0.895 1919 1.313 1920 0.99 1921 1.139 1922 0.97 1923 1.505 1924 1.638 1925 1.063 1926 0.812 1927 1.116 1928 1.244 1929 1.099 1930 0.739 1931 0.844 1932 0.794 1933 1.044 1934 0.92 1935 1.439 1936 1 1937 1.159 1938 1.483 1939 1.301 1940 0.963 1941 0.824 1942 0.875 1943 1.094 1944 1.216 1945 1.232 1946 1.083 1947 1.257 1948 1.048 1949 1.286 1950 0.936 1951 1.093 1952 0.831 1953 1.065 1954 0.887 1955 0.616 1956 1.369 1957 0.954 1958 0.856 1959 1.06 1960 0.893 1961 1.114 1962 0.801 1963 0.851 1964 0.971 1965 0.784 1966 0.799 1967 1.033 1968 0.881 1969 0.892 1970 1.008 1971 1.019 1972 1.052 1973 0.701 1974 0.987 1975 1.1 1976 1.469 1977 1.085 1978 0.867 1979 0.968 1980 0.88 1981 0.61 1982 1.046 1983 0.872 1984 0.944 1985 0.962 1986 1.109 1987 1.064 1988 0.976 1989 1.011 1990 0.83 1991 0.542