# northamerica_usa_ca668 - Patriarch Lower - 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/8540 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca668 - Patriarch Lower - 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: Patriarch Lower # Location: # Country: United States # Northernmost_Latitude: 37.52 # Southernmost_Latitude: 37.52 # Easternmost_Longitude: -118.18 # Westernmost_Longitude: -118.18 # Elevation: 3320 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca668B # Earliest_Year: 1400 # Most_Recent_Year: 2006 # 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":"4.42286307822","T2":"17.2139982933","M1":"0.0231066299562","M2":"0.408074561528"}} #-------------------- # 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 1400 0.7 1401 0.676 1402 1.024 1403 0.997 1404 0.949 1405 1.056 1406 1.344 1407 0.849 1408 1.013 1409 1.155 1410 0.918 1411 1.125 1412 1.084 1413 0.998 1414 0.755 1415 0.878 1416 1.041 1417 1.217 1418 1.13 1419 1.224 1420 1.255 1421 1.115 1422 1.206 1423 1.446 1424 1.38 1425 0.944 1426 0.488 1427 0.924 1428 1.427 1429 1.296 1430 1.17 1431 0.713 1432 1.139 1433 0.961 1434 0.539 1435 1.189 1436 1.115 1437 0.979 1438 0.468 1439 0.94 1440 1.039 1441 0.785 1442 0.406 1443 0.86 1444 0.902 1445 0.755 1446 0.662 1447 0.816 1448 0.663 1449 0.891 1450 0.283 1451 0.835 1452 0.662 1453 0.98 1454 0.882 1455 1.045 1456 0.408 1457 0.814 1458 0.746 1459 0.663 1460 0.598 1461 0.795 1462 0.713 1463 1.054 1464 0.843 1465 0.942 1466 0.891 1467 0.941 1468 0.335 1469 0.992 1470 1.163 1471 0.935 1472 1.007 1473 0.86 1474 0.77 1475 0.432 1476 1.111 1477 1.01 1478 1.063 1479 0.814 1480 0.998 1481 1.283 1482 0.87 1483 1.071 1484 1.417 1485 1.292 1486 1.18 1487 1.463 1488 1.445 1489 1.474 1490 1.447 1491 1.234 1492 0.601 1493 1.161 1494 1.486 1495 1.111 1496 0.832 1497 0.413 1498 0.815 1499 1.062 1500 0.43 1501 1.042 1502 1.22 1503 1.198 1504 1.098 1505 0.716 1506 0.651 1507 0.995 1508 0.695 1509 1.049 1510 1.204 1511 1.035 1512 0.818 1513 0.914 1514 1.09 1515 0.408 1516 1.324 1517 1.226 1518 1.133 1519 1.372 1520 1.382 1521 1.022 1522 0.838 1523 0.375 1524 1.055 1525 1.003 1526 1.045 1527 1.338 1528 0.862 1529 0.902 1530 1.016 1531 0.792 1532 0.475 1533 0.525 1534 0.901 1535 1.094 1536 0.967 1537 1.054 1538 0.843 1539 1.371 1540 1.133 1541 0.715 1542 0.412 1543 1.037 1544 0.82 1545 0.707 1546 0.938 1547 0.63 1548 0.793 1549 0.935 1550 1.084 1551 0.982 1552 1.01 1553 1.198 1554 1.241 1555 1.272 1556 1.204 1557 1.253 1558 0.775 1559 1.124 1560 0.948 1561 1.151 1562 1.198 1563 0.866 1564 1.043 1565 1.049 1566 0.821 1567 1.221 1568 1.247 1569 0.882 1570 1.143 1571 0.54 1572 1.026 1573 0.908 1574 1.159 1575 1.081 1576 0.981 1577 0.946 1578 0.72 1579 0.523 1580 0.475 1581 1.077 1582 0.968 1583 1.165 1584 0.804 1585 0.894 1586 1.09 1587 1.296 1588 1.124 1589 1.114 1590 0.492 1591 1.166 1592 0.697 1593 0.959 1594 1.372 1595 1.064 1596 1.269 1597 1.353 1598 1.395 1599 1.221 1600 0.416 1601 1.158 1602 0.915 1603 1.439 1604 1.485 1605 1.314 1606 1.195 1607 1.087 1608 1.689 1609 1.537 1610 1.436 1611 1.365 1612 0.842 1613 1.406 1614 1.526 1615 1.376 1616 1.618 1617 1.608 1618 1.186 1619 1.209 1620 1.109 1621 1.606 1622 1.004 1623 1.13 1624 0.721 1625 1.408 1626 0.573 1627 0.892 1628 1.155 1629 1.148 1630 0.936 1631 0.883 1632 0.573 1633 1.081 1634 1.227 1635 1.203 1636 1.192 1637 1.099 1638 0.911 1639 1.2 1640 1.324 1641 0.893 1642 0.925 1643 1.298 1644 1.196 1645 1.029 1646 1.041 1647 0.843 1648 1.376 1649 1.338 1650 1.016 1651 1.385 1652 0.784 1653 1.001 1654 0.491 1655 0.389 1656 0.821 1657 0.965 1658 0.842 1659 1.038 1660 1.256 1661 1.291 1662 0.857 1663 0.896 1664 1.221 1665 1.105 1666 0.938 1667 1.042 1668 0.273 1669 0.654 1670 0.54 1671 0.904 1672 0.788 1673 0.875 1674 0.998 1675 0.492 1676 0.784 1677 0.792 1678 0.912 1679 0.992 1680 1.052 1681 0.458 1682 1.223 1683 1.143 1684 1.042 1685 0.817 1686 0.411 1687 0.886 1688 0.854 1689 0.955 1690 0.581 1691 0.952 1692 0.878 1693 0.92 1694 0.93 1695 0.907 1696 0.919 1697 0.967 1698 1.035 1699 0.818 1700 1.167 1701 1.137 1702 1.036 1703 0.682 1704 0.788 1705 0.945 1706 1.036 1707 0.641 1708 0.41 1709 0.901 1710 0.953 1711 0.781 1712 0.979 1713 0.959 1714 0.863 1715 0.881 1716 0.695 1717 0.847 1718 0.934 1719 0.965 1720 1.183 1721 1.326 1722 0.928 1723 0.797 1724 1.161 1725 1.127 1726 1.185 1727 1.201 1728 1.242 1729 0.934 1730 1.207 1731 0.964 1732 1.123 1733 0.738 1734 1.038 1735 0.567 1736 1.258 1737 1.103 1738 0.817 1739 0.855 1740 1.091 1741 1.406 1742 0.839 1743 1.231 1744 1.219 1745 1.005 1746 1.227 1747 1.331 1748 1.213 1749 1.05 1750 0.94 1751 1.189 1752 0.796 1753 0.398 1754 0.874 1755 1.014 1756 0.814 1757 0.755 1758 1.241 1759 0.944 1760 1.554 1761 1.541 1762 1.218 1763 0.727 1764 1.063 1765 0.973 1766 0.839 1767 1.162 1768 0.994 1769 1.252 1770 1.046 1771 1.269 1772 1.049 1773 1.144 1774 1.08 1775 1.318 1776 1.24 1777 0.611 1778 0.96 1779 1.008 1780 0.754 1781 0.7 1782 0.138 1783 0.776 1784 0.728 1785 1.027 1786 0.734 1787 0.794 1788 0.899 1789 0.568 1790 0.743 1791 0.905 1792 0.848 1793 0.643 1794 0.563 1795 0.477 1796 0.901 1797 1.073 1798 1.014 1799 1.148 1800 1.041 1801 0.854 1802 1.008 1803 1.095 1804 1.183 1805 1.007 1806 0.837 1807 0.753 1808 1.094 1809 1.185 1810 0.913 1811 1.177 1812 0.44 1813 0.565 1814 0.894 1815 0.998 1816 0.914 1817 1.284 1818 1.21 1819 1.046 1820 0.897 1821 1.174 1822 0.779 1823 0.986 1824 0.931 1825 1.106 1826 1.189 1827 1.289 1828 1.082 1829 0.7 1830 0.694 1831 0.953 1832 0.76 1833 1.032 1834 1.071 1835 0.841 1836 0.57 1837 0.721 1838 0.994 1839 1.15 1840 1.145 1841 1.096 1842 0.548 1843 0.936 1844 0.801 1845 0.698 1846 0.951 1847 0.744 1848 0.968 1849 0.913 1850 0.916 1851 0.8 1852 1.176 1853 1.256 1854 1.175 1855 1.047 1856 0.676 1857 0.509 1858 0.781 1859 1.148 1860 1.317 1861 1.13 1862 1.158 1863 0.93 1864 1.437 1865 0.978 1866 1.449 1867 1.299 1868 1.689 1869 1.64 1870 1.231 1871 1.415 1872 1.337 1873 1.026 1874 1.285 1875 1.145 1876 0.872 1877 1.209 1878 1.039 1879 0.853 1880 0.632 1881 0.707 1882 1.093 1883 1.123 1884 0.897 1885 1.06 1886 1.041 1887 0.864 1888 0.972 1889 0.887 1890 0.621 1891 1.089 1892 1.018 1893 0.69 1894 0.859 1895 0.824 1896 0.796 1897 0.855 1898 1.201 1899 0.557 1900 1.04 1901 1.226 1902 1.136 1903 1.197 1904 1.049 1905 1.362 1906 1.209 1907 1.143 1908 1.288 1909 1.414 1910 0.993 1911 1.486 1912 1.323 1913 1.152 1914 1.407 1915 1.488 1916 1.148 1917 1.292 1918 1.273 1919 1.466 1920 1.201 1921 1.336 1922 1.261 1923 1 1924 0.926 1925 1.005 1926 1.287 1927 1.126 1928 1.124 1929 0.451 1930 1.001 1931 1.128 1932 1.067 1933 1.154 1934 0.696 1935 0.687 1936 0.787 1937 0.945 1938 0.952 1939 0.943 1940 1.107 1941 0.705 1942 0.783 1943 0.937 1944 0.725 1945 0.779 1946 0.978 1947 0.985 1948 0.545 1949 0.701 1950 0.605 1951 1.133 1952 0.878 1953 1.167 1954 0.643 1955 0.777 1956 0.865 1957 0.91 1958 0.846 1959 0.649 1960 0.407 1961 0.621 1962 0.957 1963 1.071 1964 0.877 1965 0.944 1966 0.605 1967 1.156 1968 1.22 1969 1.39 1970 1.017 1971 1.011 1972 1.017 1973 1.207 1974 0.815 1975 1.116 1976 1.189 1977 1.446 1978 1.034 1979 0.86 1980 1.15 1981 1.171 1982 1.094 1983 1.259 1984 1.106 1985 1.293 1986 1.138 1987 1.01 1988 1.286 1989 1.066 1990 0.984 1991 0.889 1992 0.755 1993 0.83 1994 1.003 1995 0.827 1996 0.891 1997 1.004 1998 1.034 1999 0.953 2000 0.688 2001 1.056 2002 0.392 2003 0.725 2004 0.47 2005 0.95 2006 1.103