# northamerica_usa_ca646 - Rock Springs Ranch - 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/8564 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca646 - Rock Springs Ranch - 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: Rock Springs Ranch # Location: # Country: United States # Northernmost_Latitude: 36.82 # Southernmost_Latitude: 36.82 # Easternmost_Longitude: -120.88 # Westernmost_Longitude: -120.88 # Elevation: 1067 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca646B # Earliest_Year: 1379 # Most_Recent_Year: 2003 # 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":"4.3672225736","T2":"16.3182136452","M1":"0.0224996090645","M2":"0.468699733746"}} #-------------------- # Species # Species_Name: blue oak # Species_Code: QUDG #-------------------- # 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 1379 0.583 1380 1.189 1381 1.014 1382 0.862 1383 1.514 1384 0.973 1385 1.157 1386 0.787 1387 0.809 1388 0.902 1389 0.893 1390 0.429 1391 0.681 1392 0.812 1393 0.738 1394 1.004 1395 0.999 1396 1.169 1397 0.922 1398 0.946 1399 0.861 1400 0.879 1401 0.754 1402 0.515 1403 1.067 1404 1.025 1405 0.866 1406 1.161 1407 0.352 1408 0.72 1409 0.986 1410 0.747 1411 1.257 1412 1.412 1413 0.851 1414 1.719 1415 1.168 1416 1 1417 0.761 1418 1.062 1419 0.609 1420 1.943 1421 0.934 1422 1.34 1423 1.283 1424 1.463 1425 0.728 1426 0.813 1427 0.954 1428 0.873 1429 0.811 1430 0.484 1431 0.52 1432 0.806 1433 1.592 1434 0.687 1435 1.273 1436 1.945 1437 1.438 1438 1.422 1439 1.242 1440 1.733 1441 1.56 1442 1.244 1443 1.287 1444 0.541 1445 1.432 1446 1.173 1447 0.933 1448 1.27 1449 1.475 1450 0.925 1451 1.186 1452 0.381 1453 0.753 1454 0.943 1455 1.254 1456 0.738 1457 1.028 1458 1.573 1459 0.483 1460 0.988 1461 0.679 1462 1.325 1463 0.88 1464 0.593 1465 0.678 1466 1.578 1467 1.89 1468 0.551 1469 1.309 1470 1.954 1471 1.33 1472 0.804 1473 0.823 1474 1.141 1475 0.796 1476 0.527 1477 0.76 1478 0.759 1479 0.404 1480 0.194 1481 0.707 1482 0.994 1483 0.896 1484 1.488 1485 1.296 1486 1.38 1487 1.489 1488 1.587 1489 1.358 1490 1.078 1491 1.466 1492 0.847 1493 1.357 1494 0.852 1495 0.958 1496 0.873 1497 0.38 1498 0.874 1499 0.198 1500 0.928 1501 1.415 1502 1.236 1503 1.404 1504 0.827 1505 0.516 1506 0.571 1507 0.377 1508 1.058 1509 1.341 1510 0.64 1511 0.597 1512 1.104 1513 1.095 1514 0.94 1515 0.914 1516 0.682 1517 1.008 1518 0.225 1519 0.412 1520 0.642 1521 0.317 1522 0.949 1523 1.011 1524 1.811 1525 1.305 1526 1.098 1527 0.758 1528 0.738 1529 0.195 1530 1.512 1531 0.831 1532 0.288 1533 0.711 1534 1.386 1535 1.372 1536 1.311 1537 1.022 1538 1.071 1539 1.262 1540 0.74 1541 0.361 1542 0.48 1543 0.509 1544 0.732 1545 0.781 1546 1.129 1547 0.819 1548 0.471 1549 1.115 1550 0.976 1551 1.049 1552 0.937 1553 1.379 1554 0.853 1555 0.782 1556 0.917 1557 1.383 1558 1.218 1559 1.191 1560 1.475 1561 0.681 1562 0.833 1563 1.091 1564 1.173 1565 1.446 1566 1.167 1567 1.248 1568 1.208 1569 0.621 1570 0.699 1571 0.128 1572 0.284 1573 1.068 1574 0.902 1575 0.652 1576 0.697 1577 1.441 1578 0.998 1579 0.168 1580 0.023 1581 0.928 1582 0.955 1583 1.636 1584 1.02 1585 0.216 1586 1.039 1587 1.029 1588 0.647 1589 1.429 1590 0.626 1591 1.649 1592 0.628 1593 1.015 1594 0.439 1595 0.381 1596 1.188 1597 0.415 1598 1.022 1599 1.547 1600 0.935 1601 1.971 1602 1.59 1603 0.978 1604 1.152 1605 1.401 1606 1.695 1607 1.211 1608 0.867 1609 1.336 1610 1.519 1611 1.367 1612 1.314 1613 0.331 1614 1.005 1615 1.239 1616 1.392 1617 1.277 1618 0.977 1619 1.108 1620 1.478 1621 0.539 1622 0.587 1623 1.755 1624 1.046 1625 1.436 1626 0.784 1627 1.447 1628 1.041 1629 0.486 1630 1.042 1631 0.527 1632 0.355 1633 0.544 1634 0.369 1635 1.152 1636 0.655 1637 0.251 1638 0.859 1639 0.307 1640 1.315 1641 1.17 1642 1.18 1643 0.616 1644 0.892 1645 0.982 1646 0.736 1647 0.855 1648 0.964 1649 1.221 1650 0.94 1651 1.689 1652 0.898 1653 0.649 1654 0.174 1655 0.387 1656 1.768 1657 0.867 1658 0.749 1659 0.394 1660 1.493 1661 1.29 1662 1.356 1663 0.676 1664 1.325 1665 0.763 1666 0.589 1667 0.305 1668 1.255 1669 0.293 1670 0.144 1671 1.278 1672 1.091 1673 0.425 1674 0.853 1675 1.212 1676 0.356 1677 1.796 1678 1.13 1679 0.949 1680 1.691 1681 0.716 1682 1.289 1683 1.613 1684 1.262 1685 1.354 1686 0.739 1687 1.159 1688 1.041 1689 1.101 1690 0.889 1691 0.252 1692 1.271 1693 1.309 1694 0.953 1695 0.899 1696 1.592 1697 1.51 1698 1.098 1699 1.233 1700 0.942 1701 0.587 1702 1.518 1703 0.723 1704 1.367 1705 0.985 1706 0.334 1707 0.419 1708 0.631 1709 1.27 1710 0.61 1711 1.323 1712 1.17 1713 0.995 1714 0.694 1715 0.833 1716 0.629 1717 1.355 1718 1.022 1719 0.616 1720 1.244 1721 0.374 1722 0.489 1723 1.927 1724 1.176 1725 1.263 1726 0.673 1727 1.38 1728 0.585 1729 0.486 1730 2.247 1731 1.735 1732 1.487 1733 0.556 1734 1.35 1735 0.857 1736 0.593 1737 0.461 1738 1.271 1739 0.795 1740 1.434 1741 1.463 1742 1.561 1743 1.543 1744 1.383 1745 1.635 1746 1.288 1747 1.579 1748 0.942 1749 0.982 1750 1.062 1751 0.812 1752 0.771 1753 0.767 1754 0.504 1755 0.648 1756 0.469 1757 0.347 1758 0.818 1759 0.658 1760 0.67 1761 0.597 1762 0.832 1763 0.935 1764 0.527 1765 0.189 1766 0.873 1767 0.95 1768 1.095 1769 1.256 1770 0.367 1771 1.561 1772 1.273 1773 1.019 1774 1.231 1775 0.989 1776 0.485 1777 0.411 1778 0.91 1779 1.264 1780 0.614 1781 0.498 1782 0.159 1783 0.253 1784 1.172 1785 1.273 1786 0.875 1787 1.3 1788 0.634 1789 1.731 1790 1.782 1791 1.299 1792 1.903 1793 1.201 1794 0.616 1795 0.155 1796 0.195 1797 1.175 1798 1.33 1799 1.218 1800 0.606 1801 1.408 1802 1.016 1803 0.444 1804 1.054 1805 0.695 1806 0.803 1807 0.561 1808 0.628 1809 0.377 1810 0.714 1811 1.344 1812 0.816 1813 1.097 1814 1.034 1815 1.14 1816 1.257 1817 1.568 1818 1.195 1819 1.403 1820 1.006 1821 1.517 1822 0.906 1823 0.697 1824 0.488 1825 2.285 1826 1.602 1827 0.848 1828 1.78 1829 0.392 1830 1.073 1831 0.793 1832 1.674 1833 1.339 1834 1.256 1835 0.857 1836 0.727 1837 0.651 1838 1.526 1839 1.228 1840 1.047 1841 0.307 1842 1.309 1843 0.297 1844 0.298 1845 0.509 1846 0.478 1847 1.455 1848 1.262 1849 1.083 1850 1.309 1851 0.621 1852 1.4 1853 1.617 1854 1.122 1855 0.875 1856 0.29 1857 0.552 1858 0.429 1859 0.475 1860 0.864 1861 0.822 1862 1.647 1863 0.84 1864 0.226 1865 0.746 1866 0.719 1867 1.659 1868 2.406 1869 1.505 1870 0.617 1871 0.523 1872 1.042 1873 0.854 1874 0.812 1875 0.756 1876 1.368 1877 0.186 1878 1.611 1879 0.298 1880 0.877 1881 0.771 1882 0.792 1883 0.569 1884 1.923 1885 1.019 1886 1.695 1887 0.918 1888 1.003 1889 1.103 1890 2.155 1891 1.255 1892 0.597 1893 1.647 1894 0.771 1895 1.162 1896 0.827 1897 0.73 1898 0.127 1899 0.361 1900 0.547 1901 1.522 1902 0.819 1903 0.945 1904 0.743 1905 0.984 1906 1.226 1907 1.925 1908 1.377 1909 1.723 1910 1.273 1911 1.598 1912 0.756 1913 0.468 1914 1.778 1915 1.424 1916 1.707 1917 1.155 1918 0.841 1919 0.748 1920 0.607 1921 0.897 1922 1.113 1923 0.824 1924 0.23 1925 0.418 1926 0.673 1927 0.973 1928 0.552 1929 0.643 1930 0.418 1931 0.198 1932 1.479 1933 0.457 1934 0.455 1935 1.31 1936 1.514 1937 1.663 1938 1.811 1939 0.686 1940 1.099 1941 1.902 1942 1.443 1943 0.981 1944 1.026 1945 0.893 1946 0.644 1947 0.282 1948 0.452 1949 0.868 1950 0.517 1951 0.393 1952 1.657 1953 0.778 1954 0.825 1955 0.689 1956 1.253 1957 0.65 1958 1.996 1959 0.825 1960 0.532 1961 0.231 1962 1.223 1963 0.952 1964 0.401 1965 1.042 1966 0.816 1967 1.558 1968 0.321 1969 1.819 1970 0.813 1971 0.618 1972 0.356 1973 1.434 1974 1.182 1975 0.956 1976 0.238 1977 0.201 1978 2.256 1979 1.122 1980 1.344 1981 0.719 1982 1.518 1983 2.034 1984 1.091 1985 0.56 1986 1.264 1987 0.453 1988 0.258 1989 0.289 1990 0.199 1991 0.61 1992 0.709 1993 1.835 1994 0.665 1995 1.555 1996 1.279 1997 1.241 1998 2.537 1999 1.011 2000 1.159 2001 0.905 2002 0.338 2003 0.848