# northamerica_usa_ut013 - Unita Mountain - 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/3485 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ut013 - Unita Mountain - 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: Unita Mountain # Location: # Country: United States # Northernmost_Latitude: 40.78 # Southernmost_Latitude: 40.78 # Easternmost_Longitude: -110.0 # Westernmost_Longitude: -110.0 # Elevation: 3353 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ut013B # Earliest_Year: 1433 # Most_Recent_Year: 1971 # 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":"6.00744841776","T2":"18.0828289156","M1":"0.0227442708613","M2":"0.361186048524"}} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1433 1.149 1434 1.107 1435 1.312 1436 1.233 1437 1.07 1438 0.854 1439 1.06 1440 1.048 1441 0.874 1442 0.861 1443 1.14 1444 1.019 1445 0.975 1446 1.086 1447 1.003 1448 0.958 1449 1.188 1450 1.025 1451 1.091 1452 0.982 1453 1.168 1454 0.779 1455 0.989 1456 0.878 1457 0.662 1458 0.582 1459 0.55 1460 0.51 1461 0.56 1462 0.692 1463 0.693 1464 0.719 1465 0.77 1466 0.697 1467 0.79 1468 0.724 1469 0.852 1470 0.93 1471 0.915 1472 1.028 1473 0.996 1474 1.145 1475 0.927 1476 1.043 1477 0.999 1478 1.058 1479 0.931 1480 0.927 1481 0.976 1482 0.913 1483 0.897 1484 0.886 1485 1.011 1486 0.987 1487 1.028 1488 1.13 1489 1.083 1490 0.863 1491 0.616 1492 0.526 1493 0.471 1494 0.618 1495 0.563 1496 0.508 1497 0.679 1498 0.567 1499 0.499 1500 0.683 1501 0.753 1502 0.927 1503 0.711 1504 0.816 1505 0.83 1506 0.681 1507 0.736 1508 0.906 1509 0.845 1510 0.736 1511 1.007 1512 1.046 1513 1.425 1514 1.463 1515 1.706 1516 1.353 1517 1.502 1518 1.071 1519 1.268 1520 1.405 1521 1.21 1522 1.322 1523 1.176 1524 1.157 1525 1.03 1526 1.118 1527 1.219 1528 1.093 1529 1.161 1530 1.149 1531 0.815 1532 0.857 1533 0.93 1534 1.299 1535 1.401 1536 1.093 1537 0.954 1538 0.843 1539 1.161 1540 0.962 1541 1.093 1542 0.823 1543 0.889 1544 0.996 1545 0.844 1546 1.161 1547 1.016 1548 1.137 1549 1.063 1550 1.371 1551 1.129 1552 1.063 1553 1.1 1554 1.252 1555 0.995 1556 1.012 1557 0.972 1558 1.221 1559 0.922 1560 0.984 1561 1.085 1562 1.157 1563 1.142 1564 1.089 1565 1.019 1566 1.091 1567 1.115 1568 1.177 1569 1.125 1570 1.047 1571 0.871 1572 0.913 1573 0.991 1574 0.988 1575 1.173 1576 1.476 1577 1.049 1578 0.993 1579 1.095 1580 0.91 1581 0.911 1582 1.001 1583 1.2 1584 0.828 1585 0.768 1586 0.952 1587 0.931 1588 0.924 1589 1.044 1590 0.931 1591 0.892 1592 0.876 1593 0.871 1594 1.065 1595 0.976 1596 0.858 1597 1.174 1598 0.821 1599 0.883 1600 0.842 1601 0.704 1602 1.128 1603 0.937 1604 0.735 1605 0.754 1606 0.788 1607 0.847 1608 1.019 1609 1.19 1610 1.052 1611 1.055 1612 0.744 1613 0.845 1614 1.11 1615 0.911 1616 0.913 1617 1.133 1618 0.796 1619 1.132 1620 0.979 1621 0.778 1622 0.826 1623 0.921 1624 0.933 1625 1.034 1626 1.056 1627 1.083 1628 1.151 1629 1.223 1630 1.132 1631 1.091 1632 1.161 1633 0.96 1634 1.174 1635 0.81 1636 0.978 1637 0.943 1638 1.015 1639 0.944 1640 0.833 1641 0.661 1642 0.788 1643 0.794 1644 0.836 1645 0.855 1646 0.775 1647 0.787 1648 0.897 1649 1.041 1650 0.901 1651 0.98 1652 1.075 1653 0.839 1654 1.09 1655 1.102 1656 1.149 1657 1.114 1658 1.127 1659 1.066 1660 0.843 1661 1.009 1662 0.858 1663 0.782 1664 0.839 1665 0.709 1666 0.686 1667 0.752 1668 0.791 1669 0.789 1670 0.732 1671 0.755 1672 0.822 1673 0.752 1674 0.895 1675 0.946 1676 0.888 1677 0.873 1678 1.012 1679 1.138 1680 0.964 1681 0.7 1682 0.904 1683 1.03 1684 0.883 1685 0.848 1686 0.858 1687 0.956 1688 1.012 1689 0.976 1690 1.066 1691 1.116 1692 1.173 1693 1.201 1694 1.222 1695 0.967 1696 0.999 1697 1.267 1698 1.201 1699 1.055 1700 0.926 1701 1.13 1702 0.879 1703 0.903 1704 1.04 1705 0.909 1706 0.788 1707 0.847 1708 0.944 1709 1.214 1710 1.159 1711 0.963 1712 1.041 1713 0.987 1714 1.011 1715 1.158 1716 1.066 1717 1.107 1718 1.29 1719 1.172 1720 1.077 1721 1.059 1722 0.947 1723 0.776 1724 1.228 1725 1.126 1726 1.247 1727 1.028 1728 0.889 1729 0.737 1730 0.888 1731 0.968 1732 0.965 1733 0.938 1734 0.963 1735 0.878 1736 0.762 1737 0.852 1738 0.929 1739 1.227 1740 0.914 1741 0.979 1742 1.146 1743 1.322 1744 1.132 1745 0.992 1746 1.09 1747 1.172 1748 0.907 1749 0.931 1750 1.119 1751 1.176 1752 1.204 1753 1.286 1754 1.1 1755 0.881 1756 1.138 1757 1.257 1758 0.969 1759 0.817 1760 0.856 1761 0.649 1762 0.787 1763 0.396 1764 0.436 1765 0.654 1766 0.672 1767 0.832 1768 0.714 1769 0.643 1770 0.618 1771 0.931 1772 0.822 1773 0.973 1774 0.957 1775 0.971 1776 1.001 1777 1.05 1778 1 1779 1.051 1780 1.264 1781 1.077 1782 0.863 1783 1.18 1784 1.238 1785 1.32 1786 1.162 1787 1.329 1788 1.351 1789 1.065 1790 1.006 1791 1.096 1792 1.038 1793 0.974 1794 1.138 1795 1.324 1796 1.319 1797 1.32 1798 1.334 1799 1.035 1800 1.016 1801 1.24 1802 1.245 1803 0.972 1804 1.141 1805 1.161 1806 1.157 1807 1.171 1808 1.161 1809 0.935 1810 0.958 1811 0.992 1812 1.052 1813 0.778 1814 0.96 1815 0.951 1816 1.22 1817 1.211 1818 0.884 1819 1.017 1820 0.98 1821 1.084 1822 1.04 1823 0.919 1824 0.858 1825 0.892 1826 0.941 1827 1.243 1828 1.224 1829 1.31 1830 1.141 1831 1.39 1832 0.939 1833 1.082 1834 0.934 1835 0.86 1836 0.53 1837 0.897 1838 0.661 1839 0.846 1840 0.76 1841 0.693 1842 0.853 1843 1.045 1844 0.791 1845 0.815 1846 1.016 1847 0.859 1848 1.011 1849 1.004 1850 1.062 1851 1.002 1852 0.941 1853 1.003 1854 1.23 1855 1.139 1856 1.172 1857 1.016 1858 1.005 1859 1.213 1860 0.963 1861 1.016 1862 0.945 1863 1.139 1864 0.934 1865 0.871 1866 1.07 1867 1.165 1868 0.936 1869 0.946 1870 1.083 1871 1.114 1872 0.879 1873 1.221 1874 1.077 1875 0.778 1876 1.176 1877 1.154 1878 1.119 1879 0.934 1880 0.851 1881 1.222 1882 0.886 1883 0.885 1884 0.917 1885 1.011 1886 1.157 1887 0.97 1888 1.135 1889 0.927 1890 1.027 1891 0.889 1892 0.972 1893 0.813 1894 0.758 1895 0.75 1896 0.941 1897 0.891 1898 1.166 1899 0.901 1900 0.98 1901 1.005 1902 0.77 1903 0.905 1904 0.842 1905 0.897 1906 0.826 1907 0.998 1908 1.122 1909 1.28 1910 1.231 1911 1.084 1912 1.073 1913 0.984 1914 1.028 1915 0.961 1916 0.927 1917 1.167 1918 0.987 1919 1.076 1920 0.898 1921 1.076 1922 1.218 1923 0.929 1924 0.701 1925 0.746 1926 0.871 1927 1.068 1928 1 1929 1.182 1930 1.048 1931 1.004 1932 1.148 1933 1.325 1934 0.812 1935 0.876 1936 0.671 1937 0.742 1938 0.722 1939 0.774 1940 0.664 1941 0.779 1942 0.856 1943 0.845 1944 0.718 1945 0.701 1946 0.638 1947 0.76 1948 0.979 1949 0.927 1950 0.951 1951 1.023 1952 0.964 1953 1.121 1954 1.271 1955 1.151 1956 1.011 1957 1.1 1958 1.103 1959 1.057 1960 0.926 1961 0.904 1962 0.918 1963 1.11 1964 1.258 1965 1.219 1966 1.348 1967 1.094 1968 1.076 1969 1.08 1970 1.121 1971 1.142