# northamerica_usa_ut508 - Wild Horse Ridge - 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/3421 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ut508 - Wild Horse Ridge - 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: Wild Horse Ridge # Location: # Country: United States # Northernmost_Latitude: 39.42 # Southernmost_Latitude: 39.42 # Easternmost_Longitude: -111.07 # Westernmost_Longitude: -111.07 # Elevation: 2805 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ut508B # Earliest_Year: 286 # Most_Recent_Year: 1985 # 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":"3.13598547635","T2":"14.4104373243","M1":"0.0233037549553","M2":"0.557812501493"}} #-------------------- # Species # Species_Name: Intermountain bristlecone pine # Species_Code: PILO #-------------------- # 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 286 0.74 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1361 0.43 1362 0.504 1363 0.632 1364 0.762 1365 0.836 1366 1 1367 1.111 1368 1.307 1369 0.656 1370 1.175 1371 1.238 1372 1.483 1373 1.174 1374 1.503 1375 0.773 1376 0.698 1377 0.776 1378 0.755 1379 0.993 1380 1.371 1381 0.846 1382 1.013 1383 1.097 1384 1.061 1385 1.337 1386 1.282 1387 1.185 1388 1.2 1389 0.64 1390 0.607 1391 0.585 1392 1.216 1393 1.083 1394 1.42 1395 1.031 1396 1.148 1397 0.837 1398 0.602 1399 0.373 1400 0.579 1401 0.715 1402 0.537 1403 0.412 1404 0.844 1405 0.874 1406 1.205 1407 0.64 1408 0.984 1409 1.04 1410 1.295 1411 0.851 1412 1.063 1413 0.595 1414 1.469 1415 1.29 1416 1.003 1417 1.448 1418 2.014 1419 1.33 1420 1.587 1421 1.33 1422 1.104 1423 1.318 1424 1.417 1425 1.36 1426 1.341 1427 1.376 1428 1.403 1429 1.093 1430 1.38 1431 1.26 1432 1.032 1433 1.013 1434 0.879 1435 1.061 1436 1.165 1437 0.864 1438 0.623 1439 1.015 1440 1.121 1441 0.957 1442 0.696 1443 1.159 1444 0.689 1445 1.033 1446 0.814 1447 1.077 1448 0.856 1449 0.902 1450 0.295 1451 1.047 1452 1.063 1453 1.127 1454 1.092 1455 0.483 1456 0.823 1457 0.706 1458 1.062 1459 0.838 1460 0.316 1461 0.822 1462 1.132 1463 0.953 1464 0.554 1465 0.679 1466 0.69 1467 1.311 1468 1.099 1469 1.331 1470 1.124 1471 0.53 1472 0.978 1473 0.773 1474 0.472 1475 0.517 1476 1.125 1477 1.267 1478 1.457 1479 0.75 1480 0.627 1481 0.934 1482 0.927 1483 0.938 1484 1.547 1485 1.635 1486 1.775 1487 1.089 1488 1.108 1489 1.075 1490 1.231 1491 1.267 1492 1.234 1493 1.031 1494 1.147 1495 0.447 1496 0.714 1497 0.875 1498 1.019 1499 0.694 1500 0.403 1501 0.741 1502 0.749 1503 0.79 1504 0.872 1505 0.405 1506 0.313 1507 1.19 1508 0.952 1509 1.168 1510 0.911 1511 1.167 1512 1.186 1513 1.004 1514 1.295 1515 0.99 1516 1.177 1517 0.807 1518 0.678 1519 1.043 1520 1.134 1521 1.139 1522 0.509 1523 1.131 1524 1.058 1525 0.746 1526 1.28 1527 1.241 1528 0.936 1529 1.32 1530 1.024 1531 1.052 1532 0.517 1533 0.698 1534 0.573 1535 0.978 1536 1.225 1537 1.177 1538 0.704 1539 0.875 1540 0.938 1541 0.976 1542 0.459 1543 0.776 1544 0.391 1545 0.685 1546 0.69 1547 0.618 1548 0.856 1549 0.973 1550 1.318 1551 1.136 1552 1.468 1553 1.465 1554 1.461 1555 1.33 1556 1.628 1557 1.472 1558 1.122 1559 0.884 1560 1.015 1561 0.974 1562 1.058 1563 0.914 1564 1.466 1565 1.125 1566 1.141 1567 1.153 1568 0.985 1569 1.35 1570 1.355 1571 1.005 1572 0.882 1573 0.695 1574 1.333 1575 1.015 1576 0.824 1577 1.253 1578 1.179 1579 0.694 1580 0.656 1581 1.031 1582 1.184 1583 0.861 1584 0.244 1585 0.498 1586 0.837 1587 1.024 1588 1.01 1589 0.817 1590 0.637 1591 1.35 1592 0.673 1593 0.801 1594 1.248 1595 0.983 1596 1.194 1597 1.304 1598 1.103 1599 1.293 1600 0.342 1601 0.8 1602 1.016 1603 1.046 1604 1.236 1605 1.399 1606 1.205 1607 0.989 1608 0.994 1609 1.168 1610 1.221 1611 0.994 1612 0.989 1613 0.931 1614 0.975 1615 1.13 1616 1.263 1617 1.34 1618 1.014 1619 1.325 1620 1.506 1621 1.558 1622 1.015 1623 0.713 1624 0.777 1625 0.934 1626 0.66 1627 0.782 1628 0.866 1629 0.932 1630 0.989 1631 0.581 1632 0.324 1633 1.206 1634 1.42 1635 1.072 1636 1.192 1637 0.701 1638 0.43 1639 0.96 1640 1.065 1641 1.123 1642 1.193 1643 1.335 1644 1.301 1645 0.407 1646 1.221 1647 0.976 1648 0.869 1649 1.193 1650 0.966 1651 1.181 1652 0.486 1653 0.788 1654 0.736 1655 1.056 1656 1.045 1657 1.324 1658 0.892 1659 0.755 1660 0.857 1661 1.344 1662 0.962 1663 0.62 1664 0.885 1665 0.824 1666 0.514 1667 0.98 1668 0.562 1669 0.79 1670 0.294 1671 1.015 1672 0.778 1673 1.097 1674 1.102 1675 0.928 1676 0.967 1677 1.117 1678 0.994 1679 1.004 1680 1.129 1681 1.13 1682 1.138 1683 1.133 1684 0.53 1685 0.431 1686 0.552 1687 1.028 1688 0.953 1689 1.127 1690 0.877 1691 0.989 1692 1.124 1693 1.164 1694 1.319 1695 1.149 1696 0.914 1697 0.967 1698 1.07 1699 0.917 1700 0.817 1701 1.004 1702 1.011 1703 0.418 1704 0.673 1705 0.9 1706 0.793 1707 0.514 1708 0.555 1709 0.579 1710 0.685 1711 0.794 1712 1.11 1713 0.793 1714 0.791 1715 0.95 1716 0.706 1717 0.57 1718 0.924 1719 1.092 1720 1.056 1721 1.079 1722 0.543 1723 0.913 1724 1.033 1725 0.841 1726 0.94 1727 1.025 1728 0.768 1729 0.226 1730 0.553 1731 1.052 1732 0.849 1733 0.98 1734 1.105 1735 0.255 1736 0.853 1737 0.489 1738 0.898 1739 0.953 1740 0.657 1741 0.824 1742 0.767 1743 0.977 1744 0.7 1745 0.594 1746 1.016 1747 1.043 1748 0.576 1749 1.349 1750 0.941 1751 0.672 1752 0.26 1753 0.919 1754 0.716 1755 0.818 1756 0.772 1757 0.574 1758 0.728 1759 0.987 1760 1.05 1761 0.963 1762 1.005 1763 0.44 1764 0.945 1765 1.184 1766 1.088 1767 1.123 1768 0.877 1769 1.013 1770 0.963 1771 1.192 1772 0.843 1773 0.72 1774 0.456 1775 0.895 1776 0.822 1777 0.603 1778 0.425 1779 0.747 1780 0.441 1781 0.86 1782 0.376 1783 0.805 1784 0.965 1785 0.901 1786 0.836 1787 1.11 1788 0.633 1789 0.301 1790 1.079 1791 0.905 1792 1.208 1793 0.987 1794 0.7 1795 0.617 1796 0.702 1797 0.831 1798 0.924 1799 0.963 1800 0.633 1801 1.052 1802 0.986 1803 0.899 1804 0.796 1805 0.945 1806 0.678 1807 1.009 1808 1.121 1809 1.064 1810 1.227 1811 0.786 1812 0.785 1813 0.475 1814 0.948 1815 0.933 1816 1.02 1817 1.156 1818 0.63 1819 0.953 1820 0.932 1821 1.158 1822 0.629 1823 0.968 1824 0.662 1825 1.105 1826 1.056 1827 0.872 1828 1.2 1829 1.016 1830 0.737 1831 1.138 1832 0.829 1833 1.171 1834 1.063 1835 1.092 1836 0.682 1837 1.286 1838 1.123 1839 1.234 1840 1.183 1841 1.322 1842 1.019 1843 1.389 1844 1.032 1845 0.59 1846 0.789 1847 0.691 1848 1.122 1849 1.239 1850 1.149 1851 1.152 1852 0.855 1853 1.111 1854 1.322 1855 0.923 1856 0.894 1857 0.919 1858 1.22 1859 0.413 1860 0.852 1861 0.641 1862 1.295 1863 0.88 1864 0.797 1865 0.718 1866 1.531 1867 1.247 1868 1.466 1869 1.525 1870 1.114 1871 0.575 1872 1.067 1873 0.838 1874 1.128 1875 0.824 1876 0.61 1877 1.26 1878 0.968 1879 0.818 1880 0.637 1881 0.745 1882 0.318 1883 0.456 1884 1.032 1885 1.218 1886 1.131 1887 0.678 1888 0.905 1889 0.968 1890 0.889 1891 1.23 1892 0.972 1893 0.702 1894 1.051 1895 1.16 1896 0.749 1897 1.367 1898 1.842 1899 0.692 1900 1.023 1901 0.601 1902 0.801 1903 1.013 1904 1.261 1905 1.155 1906 1.202 1907 1.626 1908 1.302 1909 0.996 1910 1.464 1911 1.603 1912 1.283 1913 1.376 1914 1.973 1915 1.695 1916 1.022 1917 1.259 1918 0.794 1919 1.242 1920 1.108 1921 1.416 1922 1.36 1923 1.293 1924 0.889 1925 1.446 1926 1.222 1927 1.121 1928 1.262 1929 1.156 1930 1.204 1931 0.949 1932 0.61 1933 0.973 1934 0.496 1935 0.9 1936 0.685 1937 1.318 1938 0.887 1939 1.022 1940 0.975 1941 1.347 1942 1.427 1943 1.004 1944 1.534 1945 0.864 1946 0.761 1947 1.173 1948 1.055 1949 1.38 1950 0.985 1951 0.93 1952 1.208 1953 0.802 1954 1.047 1955 0.718 1956 0.604 1957 1.386 1958 1.299 1959 0.815 1960 1.172 1961 1.005 1962 1.402 1963 0.977 1964 0.941 1965 1.291 1966 1.155 1967 1.243 1968 1.052 1969 1.278 1970 1.207 1971 1.069 1972 1.002 1973 1.279 1974 0.678 1975 1.266 1976 1.1 1977 0.795 1978 1.219 1979 1.131 1980 1.359 1981 1.585 1982 1.651 1983 1.465 1984 1.639 1985 1.712