# northamerica_usa_ca085 - Hell's Half Acre - 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/3527 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca085 - Hell's Half Acre - 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: Hell's Half Acre # Location: # Country: United States # Northernmost_Latitude: 39.6 # Southernmost_Latitude: 39.6 # Easternmost_Longitude: -122.95 # Westernmost_Longitude: -122.95 # Elevation: 1922 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca085B # Earliest_Year: 1497 # Most_Recent_Year: 1980 # 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":"6.01418013447","T2":"14.5778391884","M1":"0.0222003250159","M2":"0.299046286266"}} #-------------------- # 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 1497 1.246 1498 1.327 1499 1.285 1500 1.142 1501 1.272 1502 1.023 1503 1.137 1504 1.13 1505 1.13 1506 0.952 1507 0.884 1508 0.876 1509 1.03 1510 1.114 1511 0.997 1512 1.065 1513 0.978 1514 0.912 1515 1.167 1516 0.735 1517 0.852 1518 0.927 1519 0.83 1520 1.045 1521 0.55 1522 0.706 1523 0.717 1524 0.886 1525 0.86 1526 0.697 1527 0.692 1528 0.86 1529 1.105 1530 0.924 1531 0.996 1532 0.879 1533 0.862 1534 1.133 1535 0.924 1536 0.962 1537 1.031 1538 1.282 1539 1.382 1540 1.081 1541 1.136 1542 0.99 1543 0.974 1544 0.949 1545 0.791 1546 0.68 1547 0.993 1548 0.812 1549 1.025 1550 1.262 1551 1.21 1552 1.244 1553 1.128 1554 0.846 1555 0.812 1556 0.872 1557 0.703 1558 0.915 1559 0.757 1560 0.802 1561 1.236 1562 1.222 1563 1.413 1564 1.322 1565 1.135 1566 0.987 1567 0.753 1568 0.922 1569 0.928 1570 0.869 1571 0.894 1572 0.825 1573 0.904 1574 0.905 1575 0.992 1576 0.914 1577 1.043 1578 1.01 1579 0.963 1580 0.964 1581 0.798 1582 1.071 1583 1.175 1584 1.012 1585 1.274 1586 1.178 1587 1.051 1588 1.274 1589 1.141 1590 1.352 1591 1.082 1592 0.975 1593 0.784 1594 1.068 1595 0.879 1596 0.873 1597 1.135 1598 0.994 1599 0.948 1600 1.215 1601 0.674 1602 0.973 1603 0.708 1604 0.743 1605 0.969 1606 0.924 1607 0.91 1608 0.978 1609 0.774 1610 1.01 1611 0.994 1612 0.851 1613 1.053 1614 0.952 1615 0.988 1616 0.818 1617 0.934 1618 1.056 1619 0.892 1620 0.975 1621 1.011 1622 1.185 1623 1.182 1624 1.125 1625 0.962 1626 0.911 1627 0.829 1628 0.893 1629 0.76 1630 0.837 1631 0.928 1632 1.159 1633 1.221 1634 0.98 1635 0.98 1636 1.351 1637 0.967 1638 0.961 1639 1.151 1640 0.98 1641 1.253 1642 1.502 1643 1.288 1644 1.25 1645 1.307 1646 0.947 1647 0.937 1648 0.914 1649 0.893 1650 0.833 1651 0.92 1652 1.02 1653 0.871 1654 1.077 1655 0.855 1656 0.792 1657 0.822 1658 0.84 1659 0.871 1660 0.882 1661 1.018 1662 1.005 1663 1.181 1664 0.912 1665 1.018 1666 1.156 1667 1.217 1668 0.94 1669 1.364 1670 1.365 1671 1.296 1672 0.819 1673 1.201 1674 1.098 1675 0.955 1676 1.026 1677 0.964 1678 1.109 1679 0.986 1680 0.883 1681 1.296 1682 1.081 1683 0.775 1684 0.839 1685 0.816 1686 0.96 1687 0.802 1688 0.975 1689 0.941 1690 1.035 1691 1.145 1692 0.981 1693 0.989 1694 1.063 1695 1.279 1696 0.913 1697 0.942 1698 0.762 1699 0.913 1700 0.925 1701 0.906 1702 1.167 1703 0.95 1704 1.022 1705 1.231 1706 0.947 1707 0.84 1708 1.071 1709 0.751 1710 0.951 1711 0.827 1712 1.054 1713 1.001 1714 0.88 1715 0.859 1716 0.933 1717 1.161 1718 1.019 1719 1.025 1720 1.106 1721 1.119 1722 1.147 1723 1.182 1724 0.88 1725 0.933 1726 1.259 1727 1.11 1728 0.84 1729 0.757 1730 0.962 1731 1.047 1732 1.021 1733 0.961 1734 0.878 1735 1.092 1736 1.003 1737 1.013 1738 1.03 1739 1.293 1740 0.849 1741 0.661 1742 0.838 1743 1.02 1744 1.114 1745 1.204 1746 1.087 1747 1.061 1748 0.836 1749 0.898 1750 0.95 1751 0.861 1752 0.784 1753 0.802 1754 0.598 1755 0.771 1756 0.798 1757 0.774 1758 0.877 1759 0.904 1760 0.738 1761 1.11 1762 1.03 1763 0.903 1764 0.964 1765 1.266 1766 1.075 1767 1.007 1768 1.136 1769 0.774 1770 1.01 1771 0.703 1772 0.928 1773 0.833 1774 0.825 1775 0.846 1776 0.923 1777 0.912 1778 0.809 1779 1.031 1780 1.055 1781 0.806 1782 0.929 1783 0.713 1784 0.945 1785 0.831 1786 0.809 1787 0.825 1788 1.136 1789 0.914 1790 0.89 1791 1.142 1792 0.979 1793 1.079 1794 1.194 1795 1.14 1796 0.88 1797 0.922 1798 0.972 1799 1.054 1800 1.169 1801 0.729 1802 0.77 1803 1.039 1804 0.915 1805 1.085 1806 1.028 1807 1.078 1808 0.949 1809 1.188 1810 1.103 1811 1.232 1812 1.195 1813 1.065 1814 1.237 1815 1.11 1816 1.203 1817 0.965 1818 0.983 1819 0.97 1820 0.83 1821 0.914 1822 0.981 1823 0.735 1824 0.972 1825 0.882 1826 1.042 1827 0.814 1828 1.22 1829 1.145 1830 0.936 1831 0.974 1832 1.377 1833 1.066 1834 1.115 1835 0.944 1836 0.748 1837 1.011 1838 0.989 1839 0.923 1840 1.02 1841 1.136 1842 0.762 1843 0.956 1844 0.876 1845 0.817 1846 0.924 1847 0.932 1848 1.079 1849 0.92 1850 0.887 1851 1.004 1852 1.196 1853 0.846 1854 0.816 1855 1.167 1856 1.01 1857 1.144 1858 0.879 1859 0.465 1860 0.923 1861 1.135 1862 0.633 1863 0.832 1864 0.941 1865 0.787 1866 0.702 1867 0.854 1868 0.811 1869 1.06 1870 0.932 1871 0.698 1872 0.864 1873 1.037 1874 0.923 1875 1.389 1876 1.042 1877 1.096 1878 1.255 1879 0.995 1880 0.853 1881 1.147 1882 1.071 1883 1.039 1884 1.295 1885 1.663 1886 0.898 1887 0.894 1888 1.057 1889 1.042 1890 0.696 1891 0.973 1892 1.168 1893 0.82 1894 0.978 1895 1.094 1896 0.734 1897 1.072 1898 1.074 1899 1.084 1900 1.403 1901 1.392 1902 0.996 1903 1.011 1904 1.007 1905 0.94 1906 1.039 1907 1.23 1908 1.141 1909 0.981 1910 0.812 1911 1.017 1912 1.328 1913 1.467 1914 1.213 1915 1.298 1916 1.167 1917 1.002 1918 1 1919 1.308 1920 0.997 1921 0.937 1922 1.056 1923 1.366 1924 1.088 1925 0.888 1926 1.502 1927 0.827 1928 0.538 1929 0.583 1930 0.822 1931 1.12 1932 0.991 1933 0.742 1934 1.353 1935 1.169 1936 1.198 1937 1.046 1938 1.136 1939 1.274 1940 1.065 1941 1.065 1942 1.134 1943 1.093 1944 1.053 1945 1.063 1946 1.119 1947 1.2 1948 0.971 1949 1.256 1950 1.275 1951 1.132 1952 0.901 1953 0.727 1954 0.722 1955 0.658 1956 0.822 1957 0.996 1958 1.197 1959 1.021 1960 0.639 1961 0.892 1962 1.172 1963 0.868 1964 1.075 1965 0.98 1966 1.135 1967 0.872 1968 0.945 1969 1.066 1970 0.987 1971 0.699 1972 0.805 1973 0.839 1974 0.609 1975 0.715 1976 0.707 1977 0.948 1978 0.963 1979 0.996 1980 1.211