# northamerica_canada_cana111 - Vancouver Cyprus Provincial Park - 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/2860 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana111 - Vancouver Cyprus Provincial Park - 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: Vancouver Cyprus Provincial Park # Location: # Country: Canada # Northernmost_Latitude: 49.42 # Southernmost_Latitude: 49.42 # Easternmost_Longitude: -123.08 # Westernmost_Longitude: -123.08 # Elevation: 1110 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana111B # Earliest_Year: 1413 # Most_Recent_Year: 1983 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.70518145292","T2":"16.9838180451","M1":"0.0226715219028","M2":"0.289319246967"}} A negative exponential detrending approached 0, thus this dataset was alternately standardized using a 75% cutoff smoothing spline methodology in ARSTAN, following the methodology outlined in Breitenmoser 2014. #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # 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 1413 0.963 1414 1.978 1415 1.293 1416 1.719 1417 1.233 1418 1.75 1419 0.986 1420 1.451 1421 1.585 1422 0.835 1423 1.386 1424 1.333 1425 1.602 1426 1.867 1427 1.768 1428 1.895 1429 1.349 1430 1.433 1431 1.913 1432 1.993 1433 1.414 1434 1.539 1435 2.226 1436 1.871 1437 2.464 1438 1.897 1439 2.952 1440 1.881 1441 1.747 1442 1.362 1443 1.648 1444 1.434 1445 1.015 1446 1.587 1447 1.99 1448 2.388 1449 2.337 1450 1.884 1451 1.997 1452 1.749 1453 1.702 1454 1.695 1455 1.57 1456 1.407 1457 1.441 1458 1.513 1459 1.353 1460 1.425 1461 1.381 1462 1.719 1463 1.447 1464 1.631 1465 1.85 1466 1.731 1467 1.762 1468 1.941 1469 1.86 1470 1.816 1471 2.396 1472 1.729 1473 1.868 1474 1.608 1475 1.458 1476 1.381 1477 1.626 1478 1.3 1479 1.366 1480 1.574 1481 1.322 1482 1.317 1483 1.208 1484 1.1 1485 1.027 1486 1.197 1487 1.193 1488 1.018 1489 1.185 1490 1.283 1491 1.245 1492 1.409 1493 1.237 1494 1.166 1495 0.863 1496 0.894 1497 0.891 1498 0.889 1499 0.854 1500 1.047 1501 0.849 1502 0.911 1503 1.038 1504 1.163 1505 1.128 1506 1.029 1507 0.994 1508 1.055 1509 1.178 1510 1.08 1511 1.265 1512 1.074 1513 1.257 1514 1.192 1515 1.065 1516 0.969 1517 0.967 1518 0.964 1519 0.749 1520 0.959 1521 0.805 1522 0.894 1523 0.951 1524 1.069 1525 0.976 1526 1.152 1527 0.941 1528 0.969 1529 1.136 1530 1.025 1531 1.138 1532 0.993 1533 0.875 1534 1.142 1535 1.048 1536 0.801 1537 0.684 1538 0.875 1539 0.941 1540 1.266 1541 1.131 1542 1.162 1543 1.356 1544 1.118 1545 1.435 1546 0.715 1547 0.746 1548 0.96 1549 1.085 1550 1.326 1551 1.359 1552 0.935 1553 0.798 1554 0.991 1555 0.86 1556 1.119 1557 1.171 1558 1.114 1559 0.84 1560 1.107 1561 1.302 1562 1.255 1563 1.16 1564 1.039 1565 1.115 1566 0.862 1567 1.046 1568 1.034 1569 0.836 1570 1.086 1571 0.914 1572 0.626 1573 1.092 1574 1.077 1575 0.938 1576 0.574 1577 0.947 1578 0.971 1579 0.764 1580 0.904 1581 0.869 1582 1.072 1583 1.087 1584 0.854 1585 0.634 1586 0.831 1587 0.398 1588 0.919 1589 0.735 1590 0.981 1591 1.239 1592 0.782 1593 1.12 1594 0.906 1595 0.762 1596 0.921 1597 1.133 1598 1.085 1599 0.818 1600 0.915 1601 0.699 1602 0.653 1603 0.856 1604 0.757 1605 0.641 1606 0.726 1607 0.848 1608 0.826 1609 0.79 1610 0.846 1611 0.669 1612 0.673 1613 0.906 1614 0.912 1615 0.878 1616 1.041 1617 1.017 1618 0.805 1619 0.946 1620 0.929 1621 1.094 1622 0.873 1623 1.086 1624 0.861 1625 0.681 1626 0.686 1627 1.067 1628 0.809 1629 1.092 1630 1.088 1631 0.72 1632 1.08 1633 1.014 1634 1.11 1635 1.012 1636 0.605 1637 0.544 1638 0.933 1639 0.748 1640 0.824 1641 0.558 1642 1.095 1643 0.708 1644 0.898 1645 0.936 1646 0.974 1647 1.039 1648 0.755 1649 1.144 1650 0.942 1651 1.254 1652 1.148 1653 0.787 1654 1.09 1655 0.968 1656 1.157 1657 0.992 1658 1.168 1659 0.785 1660 1.188 1661 1.309 1662 0.705 1663 0.911 1664 0.782 1665 1.408 1666 1.101 1667 1.18 1668 0.92 1669 1.217 1670 0.99 1671 1.008 1672 0.839 1673 1.123 1674 1.236 1675 1.095 1676 0.893 1677 1.196 1678 0.803 1679 1.031 1680 0.989 1681 1.297 1682 1.138 1683 1.065 1684 0.912 1685 1.283 1686 1.279 1687 1.394 1688 1.269 1689 1.144 1690 1.212 1691 1.296 1692 1.186 1693 1.109 1694 0.961 1695 1.096 1696 0.414 1697 0.501 1698 0.963 1699 1.074 1700 1.029 1701 0.715 1702 0.928 1703 0.643 1704 1.108 1705 1 1706 0.904 1707 0.949 1708 1.219 1709 0.888 1710 1.269 1711 0.973 1712 1.183 1713 1.018 1714 0.977 1715 0.703 1716 1.249 1717 1.294 1718 1.139 1719 1.151 1720 1.068 1721 1.176 1722 0.901 1723 1.125 1724 0.798 1725 0.88 1726 1.285 1727 1.122 1728 1.184 1729 1.035 1730 0.689 1731 1.027 1732 1.123 1733 1.034 1734 0.885 1735 1.034 1736 1.204 1737 0.94 1738 0.713 1739 1.045 1740 0.923 1741 1.103 1742 0.659 1743 0.895 1744 0.722 1745 0.897 1746 1.077 1747 1.172 1748 0.942 1749 1.238 1750 1.314 1751 1.267 1752 1.008 1753 1.056 1754 0.901 1755 0.857 1756 1.325 1757 1.015 1758 1.19 1759 1.378 1760 1.262 1761 1.209 1762 0.907 1763 1.299 1764 1.066 1765 1.235 1766 1.038 1767 0.972 1768 0.838 1769 1.217 1770 1.097 1771 1.18 1772 1.175 1773 1.185 1774 1.211 1775 1.113 1776 1.508 1777 1.317 1778 1.13 1779 0.992 1780 1.463 1781 0.824 1782 1.111 1783 1.323 1784 1.134 1785 1.168 1786 1.007 1787 0.84 1788 1.087 1789 0.936 1790 1.035 1791 1.135 1792 1.209 1793 1.137 1794 1.229 1795 1.094 1796 1.148 1797 1.032 1798 1.084 1799 0.967 1800 0.983 1801 0.552 1802 1.024 1803 1.081 1804 1.207 1805 1.343 1806 0.85 1807 0.87 1808 0.827 1809 1.171 1810 0.443 1811 0.752 1812 1.015 1813 0.737 1814 0.86 1815 0.838 1816 1.202 1817 1.036 1818 0.841 1819 0.32 1820 0.472 1821 0.942 1822 0.834 1823 0.866 1824 0.815 1825 0.78 1826 0.654 1827 0.857 1828 1.116 1829 1.04 1830 0.764 1831 0.652 1832 0.784 1833 0.911 1834 1.068 1835 0.667 1836 0.663 1837 0.645 1838 0.5 1839 0.814 1840 0.457 1841 0.574 1842 0.476 1843 0.666 1844 0.372 1845 0.254 1846 0.578 1847 0.663 1848 0.845 1849 0.66 1850 0.678 1851 0.889 1852 0.718 1853 1.044 1854 0.934 1855 1.042 1856 0.856 1857 1.158 1858 1.207 1859 0.994 1860 1.145 1861 0.876 1862 0.897 1863 0.841 1864 0.937 1865 0.783 1866 0.554 1867 0.833 1868 1.071 1869 1.014 1870 0.532 1871 0.64 1872 0.935 1873 1.041 1874 1.106 1875 1.02 1876 0.541 1877 0.649 1878 0.67 1879 0.589 1880 0.558 1881 0.623 1882 0.622 1883 0.705 1884 0.847 1885 0.735 1886 0.612 1887 0.566 1888 0.719 1889 0.661 1890 0.566 1891 0.828 1892 0.701 1893 0.794 1894 0.89 1895 0.994 1896 0.858 1897 1.086 1898 1.175 1899 0.83 1900 1.198 1901 1.044 1902 1.118 1903 1.079 1904 1.147 1905 1.387 1906 1.016 1907 0.868 1908 0.862 1909 0.891 1910 1.266 1911 1.033 1912 1.249 1913 1.041 1914 1.239 1915 1.115 1916 0.65 1917 0.781 1918 0.991 1919 0.83 1920 0.677 1921 0.541 1922 1.043 1923 1.087 1924 1.172 1925 1.091 1926 1.201 1927 0.758 1928 0.957 1929 0.891 1930 1.049 1931 0.867 1932 0.869 1933 1.077 1934 1.382 1935 1.192 1936 1.188 1937 1.18 1938 1.212 1939 1.193 1940 1.021 1941 1.238 1942 0.81 1943 0.854 1944 1.114 1945 1.071 1946 0.938 1947 1.56 1948 1.438 1949 1.327 1950 1.259 1951 1.728 1952 1.245 1953 1.265 1954 1.106 1955 1.219 1956 1.142 1957 1.698 1958 1.56 1959 0.961 1960 1.039 1961 0.957 1962 0.965 1963 1.156 1964 0.919 1965 1.522 1966 1.353 1967 1.304 1968 1.192 1969 0.985 1970 1.323 1971 0.941 1972 0.889 1973 1.111 1974 0.651 1975 1.193 1976 0.992 1977 1.513 1978 1.391 1979 1.281 1980 1.566 1981 1.727 1982 0.903 1983 1.318