# northamerica_usa_ca064 - Lemon Canyon - 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/3539 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca064 - Lemon Canyon - 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: Lemon Canyon # Location: # Country: United States # Northernmost_Latitude: 39.57 # Southernmost_Latitude: 39.57 # Easternmost_Longitude: -120.25 # Westernmost_Longitude: -120.25 # Elevation: 1859 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca064B # Earliest_Year: 1415 # Most_Recent_Year: 1980 # 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":"3.62725080394","T2":"15.2162425499","M1":"0.0226599913222","M2":"0.489813389331"}} #-------------------- # Species # Species_Name: Jeffrey pine # Species_Code: PIJE #-------------------- # 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 1415 0.699 1416 0.835 1417 1.014 1418 0.875 1419 0.896 1420 0.821 1421 0.931 1422 1.115 1423 0.937 1424 1.031 1425 1.15 1426 0.792 1427 0.936 1428 0.876 1429 0.63 1430 0.744 1431 0.928 1432 0.779 1433 0.889 1434 0.866 1435 0.766 1436 0.948 1437 0.809 1438 0.818 1439 0.8 1440 0.894 1441 0.719 1442 0.628 1443 0.404 1444 0.558 1445 0.653 1446 0.856 1447 0.926 1448 1.017 1449 0.918 1450 1.263 1451 1.205 1452 1.319 1453 1.247 1454 1.572 1455 1.102 1456 1.218 1457 1.123 1458 1.211 1459 0.909 1460 1.262 1461 0.993 1462 1.198 1463 1.18 1464 0.834 1465 1.056 1466 0.787 1467 0.967 1468 1.17 1469 1.151 1470 1.289 1471 1.121 1472 1.169 1473 1.181 1474 1.024 1475 1.211 1476 1.23 1477 1.126 1478 1.23 1479 0.915 1480 1.356 1481 1.101 1482 1.349 1483 1.403 1484 1.209 1485 1.271 1486 1.11 1487 1.225 1488 1.462 1489 1.288 1490 0.731 1491 1.128 1492 1.174 1493 0.905 1494 0.724 1495 0.517 1496 0.939 1497 0.883 1498 0.773 1499 0.673 1500 0.447 1501 0.761 1502 0.833 1503 1.209 1504 0.966 1505 1.106 1506 1.168 1507 1.103 1508 1.007 1509 1.173 1510 1.248 1511 1.505 1512 1.138 1513 1.469 1514 1.159 1515 0.889 1516 0.469 1517 1.025 1518 0.563 1519 0.767 1520 0.963 1521 1.317 1522 1.164 1523 0.708 1524 1.09 1525 1.373 1526 0.913 1527 0.712 1528 1.017 1529 1.021 1530 0.959 1531 0.963 1532 0.606 1533 0.659 1534 0.775 1535 1.015 1536 0.966 1537 1.064 1538 0.944 1539 1.327 1540 1.082 1541 0.725 1542 0.883 1543 1.228 1544 1.018 1545 0.937 1546 0.81 1547 0.945 1548 0.691 1549 0.913 1550 0.873 1551 1.093 1552 1.306 1553 1.235 1554 0.895 1555 0.952 1556 1.185 1557 1.222 1558 1.273 1559 1.541 1560 1.128 1561 1.009 1562 1.025 1563 1.042 1564 1.258 1565 1.088 1566 1.233 1567 0.99 1568 1.049 1569 1.031 1570 0.81 1571 0.862 1572 1.228 1573 1.155 1574 1.257 1575 1.269 1576 0.804 1577 1.132 1578 1.145 1579 0.753 1580 0.054 1581 0.509 1582 0.75 1583 1.064 1584 0.957 1585 1.206 1586 1.298 1587 1.476 1588 1.459 1589 1.462 1590 1.316 1591 1.339 1592 1.032 1593 0.948 1594 1.175 1595 0.953 1596 0.968 1597 1.058 1598 1.033 1599 1.157 1600 1.112 1601 1.165 1602 1.238 1603 1.11 1604 1.068 1605 1.079 1606 0.978 1607 0.857 1608 1.172 1609 0.961 1610 1.39 1611 1.362 1612 1.157 1613 0.858 1614 0.854 1615 1.079 1616 0.879 1617 1.055 1618 1.103 1619 0.743 1620 0.863 1621 0.885 1622 0.885 1623 0.878 1624 0.945 1625 1.193 1626 0.908 1627 0.832 1628 0.96 1629 0.257 1630 0.692 1631 0.716 1632 0.722 1633 1.022 1634 0.974 1635 1.037 1636 1.353 1637 0.927 1638 0.935 1639 0.399 1640 0.679 1641 1.146 1642 1.352 1643 1.511 1644 1.542 1645 1.398 1646 0.992 1647 1.041 1648 1.044 1649 1.092 1650 1.194 1651 0.907 1652 1.127 1653 0.955 1654 0.736 1655 0.415 1656 0.868 1657 0.619 1658 0.612 1659 0.834 1660 1.06 1661 1.441 1662 1.206 1663 1.486 1664 1.23 1665 0.803 1666 1.264 1667 0.687 1668 1.072 1669 1.089 1670 1.046 1671 1.097 1672 1.151 1673 1.139 1674 1.384 1675 1.165 1676 0.826 1677 0.939 1678 1.157 1679 1.122 1680 0.861 1681 1.194 1682 0.995 1683 0.871 1684 1.039 1685 0.889 1686 0.992 1687 1.05 1688 1.073 1689 0.894 1690 0.93 1691 0.613 1692 0.956 1693 0.854 1694 0.942 1695 0.934 1696 0.965 1697 1.172 1698 0.917 1699 1.383 1700 1.244 1701 0.881 1702 1.258 1703 0.672 1704 0.585 1705 0.872 1706 0.606 1707 0.807 1708 0.824 1709 0.777 1710 0.846 1711 0.776 1712 0.922 1713 0.971 1714 0.92 1715 1.159 1716 1.236 1717 1.03 1718 0.698 1719 0.728 1720 0.828 1721 0.665 1722 0.773 1723 0.992 1724 0.912 1725 1.034 1726 1.257 1727 1.18 1728 0.944 1729 0.561 1730 0.958 1731 0.876 1732 1.111 1733 1.021 1734 1.017 1735 0.992 1736 1.023 1737 1.012 1738 1.156 1739 1.009 1740 0.921 1741 0.794 1742 0.952 1743 1.014 1744 1.002 1745 1.234 1746 1.073 1747 1.072 1748 0.709 1749 1.111 1750 1.036 1751 0.934 1752 0.913 1753 0.965 1754 0.914 1755 1.199 1756 0.79 1757 0.735 1758 0.952 1759 0.893 1760 0.989 1761 1.244 1762 0.965 1763 0.958 1764 0.838 1765 0.63 1766 0.952 1767 0.909 1768 1.029 1769 1.035 1770 1.041 1771 0.919 1772 0.977 1773 1.178 1774 1.171 1775 1.298 1776 0.571 1777 0.519 1778 0.699 1779 0.808 1780 1.028 1781 0.848 1782 0.646 1783 0.534 1784 0.86 1785 0.963 1786 1.033 1787 0.64 1788 0.805 1789 0.978 1790 0.915 1791 0.992 1792 1.177 1793 1.113 1794 0.858 1795 0.389 1796 0.6 1797 0.707 1798 0.732 1799 0.941 1800 0.986 1801 0.935 1802 1.025 1803 1.086 1804 1.309 1805 1.318 1806 1.208 1807 1.056 1808 1.187 1809 1.459 1810 1.591 1811 1.65 1812 1.361 1813 1.212 1814 1.231 1815 1.127 1816 1.343 1817 1.16 1818 1.326 1819 1.384 1820 1.265 1821 1.057 1822 0.51 1823 0.758 1824 0.821 1825 1.062 1826 1.217 1827 1.075 1828 1.486 1829 0.389 1830 0.939 1831 0.842 1832 1.32 1833 1.125 1834 1.084 1835 1.134 1836 1.243 1837 1.285 1838 1.274 1839 1.247 1840 1.099 1841 0.885 1842 0.898 1843 0.924 1844 0.621 1845 1.172 1846 0.809 1847 0.783 1848 0.826 1849 0.861 1850 0.681 1851 0.767 1852 1.174 1853 1.096 1854 0.984 1855 1.184 1856 0.818 1857 1.062 1858 0.806 1859 0.57 1860 1.002 1861 1.235 1862 0.701 1863 0.902 1864 0.863 1865 0.609 1866 1.111 1867 0.859 1868 1.128 1869 1.115 1870 0.967 1871 0.641 1872 0.972 1873 1.061 1874 0.777 1875 1.018 1876 0.89 1877 1.108 1878 1.033 1879 1.189 1880 0.629 1881 0.886 1882 0.903 1883 0.791 1884 1.021 1885 1.5 1886 0.893 1887 1.127 1888 0.892 1889 0.816 1890 0.872 1891 0.968 1892 1.037 1893 0.95 1894 1.229 1895 1.106 1896 0.9 1897 1.093 1898 1.007 1899 0.959 1900 1.48 1901 1.381 1902 0.946 1903 0.875 1904 0.97 1905 1.085 1906 1.121 1907 1.643 1908 1.608 1909 1.226 1910 0.982 1911 0.983 1912 0.92 1913 1.338 1914 1.144 1915 0.868 1916 1.034 1917 0.956 1918 0.887 1919 0.998 1920 0.858 1921 1.334 1922 0.782 1923 1.091 1924 0.349 1925 1.029 1926 1.206 1927 0.739 1928 1.027 1929 0.601 1930 1 1931 0.931 1932 0.706 1933 0.468 1934 0.731 1935 0.696 1936 0.678 1937 0.449 1938 0.787 1939 0.523 1940 1.067 1941 1.207 1942 1.395 1943 1.345 1944 1 1945 1.244 1946 1.166 1947 1.148 1948 0.936 1949 0.936 1950 0.991 1951 1.161 1952 1.01 1953 1.197 1954 0.932 1955 0.964 1956 1.019 1957 1.211 1958 1.285 1959 1.082 1960 0.717 1961 0.665 1962 0.84 1963 1.116 1964 1.131 1965 1.063 1966 1.122 1967 0.915 1968 1.081 1969 1.205 1970 0.943 1971 1.055 1972 1.097 1973 0.645 1974 0.897 1975 0.753 1976 0.353 1977 0.524 1978 0.787 1979 0.577 1980 0.787