# northamerica_usa_nc009 - Lassiter Swamp Merchants Millpond State 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/4880 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nc009 - Lassiter Swamp Merchants Millpond State 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: Lassiter Swamp Merchants Millpond State Park # Location: # Country: United States # Northernmost_Latitude: 36.45 # Southernmost_Latitude: 36.45 # Easternmost_Longitude: -76.62 # Westernmost_Longitude: -76.62 # Elevation: 2 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nc009B # Earliest_Year: 1640 # Most_Recent_Year: 1984 # 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":"3.17124720875","T2":"18.121384621","M1":"0.0224621054992","M2":"0.459739755201"}} #-------------------- # Species # Species_Name: baldcypress # Species_Code: TADI #-------------------- # 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 1640 1.154 1641 0.894 1642 0.99 1643 0.928 1644 0.926 1645 1.154 1646 0.501 1647 0.981 1648 0.843 1649 1.164 1650 0.611 1651 0.994 1652 0.962 1653 0.802 1654 0.796 1655 0.984 1656 1.622 1657 0.974 1658 1.135 1659 0.83 1660 0.933 1661 0.974 1662 0.98 1663 1.071 1664 0.966 1665 1.234 1666 1.084 1667 0.973 1668 1.156 1669 1.298 1670 1.585 1671 1.112 1672 1.407 1673 1.909 1674 1.508 1675 0.994 1676 1.178 1677 1.162 1678 1.041 1679 0.798 1680 1.304 1681 0.808 1682 0.768 1683 0.56 1684 1.192 1685 0.541 1686 0.82 1687 0.373 1688 0.509 1689 0.484 1690 0.631 1691 0.578 1692 0.841 1693 0.977 1694 0.68 1695 1.074 1696 1.042 1697 0.758 1698 0.783 1699 0.944 1700 1.701 1701 1.619 1702 1.757 1703 1.526 1704 1.566 1705 1.712 1706 1.742 1707 0.887 1708 1.261 1709 0.935 1710 0.848 1711 0.783 1712 1.147 1713 0.857 1714 0.997 1715 0.659 1716 0.704 1717 0.95 1718 0.516 1719 0.771 1720 0.704 1721 0.862 1722 0.796 1723 1.198 1724 1.147 1725 0.968 1726 0.503 1727 2.008 1728 0.666 1729 1.107 1730 0.75 1731 0.316 1732 0.985 1733 0.478 1734 0.952 1735 0.3 1736 1.274 1737 0.388 1738 0.824 1739 0.365 1740 0.804 1741 0.78 1742 0.691 1743 0.632 1744 0.099 1745 0.792 1746 0.729 1747 0.316 1748 0.598 1749 0.614 1750 0.569 1751 1.155 1752 0.801 1753 1.283 1754 1.381 1755 0.951 1756 1.292 1757 1.759 1758 1.454 1759 0.636 1760 1.317 1761 1.171 1762 0.908 1763 0.684 1764 1.022 1765 0.066 1766 1.017 1767 0.59 1768 0.746 1769 0.887 1770 1.225 1771 1.109 1772 1.361 1773 1.569 1774 1.543 1775 1.113 1776 1.463 1777 1.5 1778 1.91 1779 0.797 1780 0.119 1781 0.5 1782 0.819 1783 0.675 1784 0.838 1785 0.77 1786 0.943 1787 0.713 1788 1.237 1789 1.22 1790 1.436 1791 1.022 1792 0.45 1793 0.927 1794 0.684 1795 0.896 1796 1.436 1797 0.602 1798 1.101 1799 1.04 1800 0.518 1801 1.057 1802 1.13 1803 0.877 1804 0.75 1805 0.485 1806 0.268 1807 0.508 1808 0.939 1809 0.887 1810 1.039 1811 0.739 1812 1.095 1813 0.861 1814 1.313 1815 1.94 1816 1.433 1817 2.368 1818 1.473 1819 1.373 1820 1.318 1821 1.026 1822 0.448 1823 1.234 1824 0.765 1825 1.022 1826 1.234 1827 1.014 1828 1.445 1829 1.619 1830 1.69 1831 0.393 1832 0.972 1833 0.952 1834 0.79 1835 0.596 1836 0.469 1837 0.363 1838 0.947 1839 0.863 1840 0.384 1841 0.73 1842 0.717 1843 0.883 1844 0.492 1845 0.494 1846 0.638 1847 0.884 1848 0.276 1849 0.762 1850 0.827 1851 0.624 1852 0.479 1853 0.803 1854 1.084 1855 0.5 1856 0.577 1857 0.671 1858 0.865 1859 1.424 1860 1.145 1861 1.025 1862 0.943 1863 1.475 1864 0.904 1865 0.253 1866 0.769 1867 0.4 1868 1.177 1869 0.679 1870 0.659 1871 1.206 1872 1.305 1873 1.057 1874 0.903 1875 0.698 1876 1.516 1877 0.75 1878 0.544 1879 0.767 1880 0.672 1881 0.451 1882 1.139 1883 0.974 1884 1.469 1885 1.231 1886 1.612 1887 1.312 1888 1.351 1889 1.059 1890 1.106 1891 0.949 1892 1.551 1893 1.021 1894 0.622 1895 0.9 1896 1.288 1897 0.53 1898 1.011 1899 0.935 1900 0.428 1901 0.708 1902 0.456 1903 1.411 1904 1.166 1905 1.45 1906 1.453 1907 1.114 1908 1.101 1909 1.047 1910 1.097 1911 0.449 1912 0.558 1913 0.375 1914 0.626 1915 0.388 1916 0.816 1917 0.721 1918 0.385 1919 0.889 1920 0.902 1921 1.129 1922 1.404 1923 0.757 1924 0.94 1925 0.741 1926 0.654 1927 1.348 1928 1.628 1929 1.932 1930 1.465 1931 0.471 1932 0.826 1933 0.973 1934 0.949 1935 0.9 1936 0.645 1937 1.035 1938 1.001 1939 0.504 1940 0.561 1941 1.11 1942 0.769 1943 1.119 1944 1.14 1945 1.594 1946 2.056 1947 1.436 1948 0.929 1949 1.557 1950 1.765 1951 1.394 1952 1.142 1953 0.895 1954 1.293 1955 0.563 1956 0.881 1957 0.59 1958 0.367 1959 0.57 1960 0.842 1961 0.425 1962 0.958 1963 0.459 1964 0.626 1965 1.211 1966 0.971 1967 1.331 1968 0.479 1969 1.203 1970 0.779 1971 0.751 1972 1.164 1973 1.29 1974 0.931 1975 0.944 1976 0.867 1977 1.168 1978 1.209 1979 1.213 1980 1.073 1981 0.344 1982 1.442 1983 1.469 1984 1.492