# northamerica_usa_nv056 - Pequap Summit - 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/4983 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nv056 - Pequap Summit - 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: Pequap Summit # Location: # Country: United States # Northernmost_Latitude: 41.05 # Southernmost_Latitude: 41.05 # Easternmost_Longitude: -114.58 # Westernmost_Longitude: -114.58 # Elevation: 2286 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nv056B # Earliest_Year: 1330 # Most_Recent_Year: 1982 # 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":"4.80619418419","T2":"17.007984866","M1":"0.0233218846842","M2":"0.381849011854"}} #-------------------- # Species # Species_Name: singleleaf pinyon pine # Species_Code: PIMO #-------------------- # 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 1330 0.734 1331 0.677 1332 0.993 1333 1.072 1334 0.682 1335 0.735 1336 0.676 1337 0.548 1338 0.558 1339 0.568 1340 0.708 1341 0.885 1342 0.984 1343 0.908 1344 0.981 1345 0.894 1346 1.057 1347 1.024 1348 1.495 1349 1.373 1350 1.521 1351 1.117 1352 1.147 1353 1.16 1354 1.346 1355 1.193 1356 1.77 1357 2.266 1358 1.761 1359 1.3 1360 1.668 1361 1.034 1362 1.235 1363 0.983 1364 1.175 1365 1.073 1366 1.009 1367 1.174 1368 1.485 1369 1.393 1370 1.184 1371 1.099 1372 0.995 1373 1.417 1374 1.068 1375 0.815 1376 0.758 1377 0.729 1378 0.731 1379 0.872 1380 0.674 1381 0.705 1382 0.807 1383 0.991 1384 1.145 1385 0.894 1386 0.855 1387 0.939 1388 0.879 1389 0.86 1390 0.883 1391 0.844 1392 0.908 1393 1.557 1394 1.667 1395 1.37 1396 1.178 1397 0.717 1398 0.918 1399 0.957 1400 0.829 1401 0.702 1402 0.929 1403 0.719 1404 1.055 1405 1.393 1406 1.203 1407 1.092 1408 1.335 1409 1.204 1410 1.317 1411 1.176 1412 0.871 1413 0.803 1414 1.244 1415 1.138 1416 0.844 1417 1.305 1418 1.631 1419 1.343 1420 1.434 1421 1.432 1422 1.248 1423 1.075 1424 0.925 1425 1.046 1426 0.939 1427 0.78 1428 0.701 1429 0.922 1430 0.743 1431 1.155 1432 0.801 1433 0.477 1434 0.655 1435 0.646 1436 0.448 1437 0.659 1438 0.654 1439 0.619 1440 0.685 1441 0.6 1442 0.601 1443 0.629 1444 0.563 1445 0.594 1446 0.559 1447 0.629 1448 0.971 1449 0.712 1450 0.818 1451 0.874 1452 0.912 1453 1.064 1454 1.281 1455 0.958 1456 0.907 1457 1.058 1458 0.837 1459 1.038 1460 0.804 1461 0.665 1462 1.074 1463 0.972 1464 0.8 1465 0.888 1466 0.718 1467 0.708 1468 0.687 1469 1.015 1470 0.986 1471 0.813 1472 1.136 1473 1.393 1474 0.899 1475 0.782 1476 0.953 1477 0.856 1478 1.158 1479 0.926 1480 1.181 1481 1.139 1482 0.776 1483 1.063 1484 1.548 1485 1.228 1486 1.232 1487 1.366 1488 1.078 1489 1.265 1490 1.073 1491 0.904 1492 0.986 1493 0.8 1494 0.93 1495 0.906 1496 1.273 1497 0.822 1498 1.241 1499 0.776 1500 1 1501 1.104 1502 0.761 1503 0.826 1504 0.818 1505 0.404 1506 0.512 1507 0.984 1508 1.083 1509 1.419 1510 1.119 1511 1.046 1512 1.232 1513 1.125 1514 1.092 1515 0.992 1516 1.283 1517 1.002 1518 0.575 1519 1.064 1520 1.416 1521 1.245 1522 0.894 1523 0.8 1524 0.981 1525 1.084 1526 0.778 1527 1.208 1528 0.799 1529 0.748 1530 0.74 1531 0.557 1532 0.657 1533 0.765 1534 0.936 1535 1.09 1536 1.453 1537 1.139 1538 1.659 1539 1.454 1540 0.945 1541 1.411 1542 1.001 1543 1.086 1544 1.212 1545 0.812 1546 0.966 1547 1.177 1548 0.972 1549 1.024 1550 1.023 1551 1.062 1552 1.187 1553 1.186 1554 0.858 1555 0.812 1556 1.06 1557 1.489 1558 1.192 1559 1.281 1560 1.08 1561 1.106 1562 1.005 1563 1.077 1564 1.282 1565 1.068 1566 1.065 1567 0.898 1568 1.214 1569 1.373 1570 0.962 1571 0.758 1572 1.043 1573 0.845 1574 1.193 1575 1.195 1576 0.761 1577 0.926 1578 1 1579 0.447 1580 0.289 1581 0.573 1582 0.645 1583 0.903 1584 0.725 1585 0.88 1586 0.855 1587 1.181 1588 1.13 1589 1.163 1590 0.359 1591 0.813 1592 0.466 1593 0.805 1594 0.849 1595 0.666 1596 0.968 1597 1.173 1598 0.744 1599 0.903 1600 0.56 1601 0.732 1602 0.857 1603 0.998 1604 0.953 1605 1.003 1606 0.991 1607 0.706 1608 1.571 1609 1.338 1610 1.089 1611 0.783 1612 1.165 1613 1.323 1614 0.816 1615 1.14 1616 1.112 1617 1.508 1618 1.671 1619 0.889 1620 1.119 1621 1.219 1622 1.081 1623 0.976 1624 0.888 1625 1.267 1626 0.476 1627 0.676 1628 0.665 1629 0.676 1630 0.576 1631 0.626 1632 0.217 1633 0.957 1634 0.944 1635 0.754 1636 0.927 1637 0.561 1638 0.548 1639 0.9 1640 1.328 1641 1.115 1642 1.643 1643 1.321 1644 1.091 1645 0.863 1646 0.734 1647 0.68 1648 0.873 1649 0.603 1650 1.113 1651 0.927 1652 1.112 1653 0.539 1654 0.728 1655 0.627 1656 0.787 1657 0.723 1658 0.982 1659 1.072 1660 0.747 1661 1.065 1662 0.709 1663 0.908 1664 0.979 1665 0.771 1666 1.222 1667 0.741 1668 0.944 1669 1.195 1670 1.183 1671 0.798 1672 1.062 1673 0.998 1674 1.073 1675 1.039 1676 1.405 1677 0.978 1678 0.829 1679 1.083 1680 1.092 1681 0.747 1682 0.754 1683 1.127 1684 1.039 1685 0.931 1686 0.851 1687 0.991 1688 1.026 1689 0.9 1690 0.645 1691 0.692 1692 1.175 1693 0.961 1694 1.145 1695 1.043 1696 1.115 1697 1.1 1698 0.784 1699 1.172 1700 1.395 1701 1.096 1702 1.283 1703 0.813 1704 0.698 1705 0.902 1706 0.799 1707 0.938 1708 0.552 1709 0.644 1710 0.701 1711 1.044 1712 0.909 1713 1.102 1714 0.798 1715 0.814 1716 1.028 1717 0.628 1718 0.758 1719 1.214 1720 1.358 1721 0.339 1722 0.679 1723 0.985 1724 1.213 1725 1.052 1726 1.73 1727 1.523 1728 1.504 1729 0.605 1730 0.757 1731 0.996 1732 0.938 1733 1.256 1734 1.306 1735 0.427 1736 1.039 1737 1.008 1738 1.122 1739 0.987 1740 1.472 1741 1.013 1742 0.754 1743 0.856 1744 0.494 1745 0.892 1746 1.328 1747 1.185 1748 0.68 1749 1.229 1750 1.173 1751 1.248 1752 0.977 1753 0.844 1754 1.176 1755 1.237 1756 0.614 1757 0.663 1758 0.99 1759 0.874 1760 0.953 1761 1.483 1762 1.034 1763 0.628 1764 0.687 1765 0.358 1766 0.68 1767 0.974 1768 1.039 1769 1.039 1770 0.916 1771 0.964 1772 0.595 1773 0.857 1774 0.492 1775 1.122 1776 1.202 1777 0.98 1778 0.98 1779 1.042 1780 1.522 1781 0.958 1782 0.486 1783 0.72 1784 0.976 1785 0.935 1786 1.07 1787 0.965 1788 0.887 1789 1.75 1790 1.212 1791 1.554 1792 1.567 1793 0.947 1794 0.798 1795 0.432 1796 1.18 1797 1.289 1798 0.871 1799 1.16 1800 1.074 1801 0.955 1802 1.341 1803 1.404 1804 1.002 1805 1.642 1806 0.948 1807 1.189 1808 0.949 1809 0.849 1810 1.427 1811 1.843 1812 1.36 1813 0.998 1814 0.788 1815 0.773 1816 0.897 1817 0.793 1818 0.721 1819 0.874 1820 1.128 1821 1.376 1822 0.792 1823 0.792 1824 0.701 1825 0.952 1826 1.088 1827 1.011 1828 1.006 1829 1.252 1830 0.984 1831 0.598 1832 1.525 1833 1.052 1834 0.877 1835 0.708 1836 1.748 1837 1.452 1838 1.8 1839 1.467 1840 1.207 1841 0.82 1842 0.581 1843 0.738 1844 1.093 1845 0.949 1846 0.227 1847 0.877 1848 0.853 1849 1.315 1850 1.255 1851 1.261 1852 1.018 1853 1.19 1854 1.294 1855 1.117 1856 0.655 1857 1.027 1858 1.281 1859 1.001 1860 1.062 1861 0.776 1862 0.926 1863 0.691 1864 0.79 1865 0.886 1866 1.248 1867 1.232 1868 1.287 1869 1.128 1870 0.849 1871 0.731 1872 0.552 1873 0.716 1874 0.77 1875 0.899 1876 0.886 1877 1.04 1878 1.102 1879 0.594 1880 1.054 1881 1.196 1882 1.304 1883 1.219 1884 1.352 1885 1.484 1886 0.872 1887 0.634 1888 0.736 1889 0.789 1890 0.694 1891 1.085 1892 0.979 1893 0.516 1894 1.096 1895 0.908 1896 0.956 1897 1.065 1898 1.172 1899 0.665 1900 0.909 1901 0.772 1902 0.768 1903 1.088 1904 0.911 1905 1.208 1906 1.187 1907 1.337 1908 1.422 1909 0.926 1910 1.226 1911 1.236 1912 1.397 1913 2.167 1914 1.917 1915 0.913 1916 1.053 1917 1.193 1918 0.733 1919 0.856 1920 1.078 1921 1.038 1922 0.764 1923 0.942 1924 0.716 1925 1.227 1926 0.615 1927 0.646 1928 0.757 1929 0.84 1930 0.985 1931 0.632 1932 1.005 1933 0.624 1934 0.344 1935 0.715 1936 0.602 1937 0.903 1938 1.078 1939 0.619 1940 0.964 1941 1.165 1942 1.068 1943 0.836 1944 0.973 1945 0.957 1946 1.252 1947 1.174 1948 0.605 1949 1.104 1950 1.255 1951 1.261 1952 0.906 1953 0.386 1954 0.678 1955 0.556 1956 0.943 1957 0.841 1958 0.748 1959 0.382 1960 0.768 1961 0.652 1962 0.908 1963 1.069 1964 0.976 1965 1.09 1966 1.268 1967 0.911 1968 0.652 1969 0.907 1970 1.035 1971 1.104 1972 1.054 1973 1.383 1974 0.568 1975 0.838 1976 0.884 1977 0.919 1978 0.647 1979 1.001 1980 1 1981 0.33 1982 1.332