# northamerica_usa_ms002 - Pascagoula River - 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/4917 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ms002 - Pascagoula River - 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: Pascagoula River # Location: # Country: United States # Northernmost_Latitude: 30.58 # Southernmost_Latitude: 30.58 # Easternmost_Longitude: -88.02 # Westernmost_Longitude: -88.02 # Elevation: 3 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ms002B # Earliest_Year: 1658 # Most_Recent_Year: 1992 # 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":"4.83309270928","T2":"18.6123148815","M1":"0.022677555771","M2":"0.625242210746"}} #-------------------- # 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 1658 0.981 1659 0.914 1660 1.292 1661 0.661 1662 1.076 1663 0.968 1664 0.587 1665 0.851 1666 0.713 1667 1.184 1668 0.833 1669 0.657 1670 0.625 1671 0.874 1672 0.781 1673 0.541 1674 1.16 1675 1.033 1676 0.599 1677 1.157 1678 0.487 1679 0.71 1680 0.623 1681 0.823 1682 0.303 1683 0.668 1684 1.032 1685 0.655 1686 1.167 1687 1.608 1688 1.503 1689 0.341 1690 0.919 1691 1.026 1692 1.737 1693 1.235 1694 1.001 1695 1.261 1696 0.952 1697 1.687 1698 1.222 1699 0.68 1700 1.339 1701 1.475 1702 1.193 1703 0.727 1704 0.828 1705 1.835 1706 0.501 1707 0.623 1708 0.255 1709 0.683 1710 1.364 1711 1.265 1712 0.342 1713 1.023 1714 0.466 1715 0.471 1716 0.777 1717 1.544 1718 0.581 1719 1.139 1720 0.967 1721 1.46 1722 0.477 1723 1.063 1724 1.136 1725 0.795 1726 0.925 1727 0.391 1728 1.408 1729 0.778 1730 0.686 1731 0.723 1732 1.427 1733 2.076 1734 0.393 1735 0.445 1736 0.922 1737 0.846 1738 0.583 1739 0.532 1740 0.677 1741 0.424 1742 1.551 1743 1.629 1744 2.123 1745 0.96 1746 1.59 1747 1.569 1748 1.096 1749 1.625 1750 0.601 1751 0.782 1752 0.62 1753 1.43 1754 0.589 1755 1.233 1756 0.957 1757 0.719 1758 0.774 1759 1.512 1760 0.662 1761 1.993 1762 0.633 1763 1.444 1764 0.648 1765 1.21 1766 1.182 1767 0.886 1768 0.539 1769 1.432 1770 0.562 1771 1.619 1772 0.282 1773 0.29 1774 1.183 1775 1.452 1776 2.144 1777 1.543 1778 0.824 1779 1.378 1780 0.747 1781 0.585 1782 1.722 1783 0.626 1784 0.9 1785 2.016 1786 0.514 1787 0.592 1788 0.733 1789 1.17 1790 0.615 1791 0.615 1792 1.113 1793 0.466 1794 0.47 1795 0.986 1796 0.47 1797 0.516 1798 0.323 1799 0.674 1800 0.843 1801 0.556 1802 0.656 1803 0.807 1804 1.696 1805 0.156 1806 0.906 1807 1.39 1808 1.274 1809 0.114 1810 0.586 1811 0.24 1812 1.073 1813 0.113 1814 1.166 1815 0.899 1816 0.913 1817 0.382 1818 0.089 1819 0.185 1820 0.9 1821 1.094 1822 0.976 1823 1.846 1824 0.59 1825 1.622 1826 1.225 1827 1.388 1828 1.599 1829 1.86 1830 0.354 1831 0.492 1832 0.819 1833 1.214 1834 0.829 1835 1.343 1836 1.033 1837 1.067 1838 0.884 1839 0.945 1840 1.158 1841 1.362 1842 0.59 1843 0.985 1844 0.524 1845 1.066 1846 1.72 1847 0.351 1848 0.743 1849 0.723 1850 1.211 1851 0.628 1852 0.976 1853 0.715 1854 0.778 1855 0.27 1856 1.118 1857 1.197 1858 0.93 1859 1.201 1860 0.254 1861 0.639 1862 0.884 1863 1.026 1864 0.839 1865 1.016 1866 1.827 1867 1.408 1868 0.877 1869 1.369 1870 0.539 1871 1.8 1872 0.563 1873 1.808 1874 0.716 1875 0.567 1876 1.057 1877 0.695 1878 1.542 1879 0.547 1880 0.933 1881 0.593 1882 1.602 1883 0.387 1884 0.937 1885 0.453 1886 1.462 1887 0.066 1888 0.791 1889 0.377 1890 0.41 1891 0.619 1892 0.969 1893 0.543 1894 0.518 1895 0.914 1896 0.511 1897 0.703 1898 0.429 1899 0.48 1900 1.492 1901 0.751 1902 1.002 1903 0.957 1904 0.38 1905 1.419 1906 0.96 1907 1.355 1908 1.02 1909 2.286 1910 0.706 1911 0.433 1912 1.074 1913 0.495 1914 0.514 1915 0.481 1916 0.687 1917 0.377 1918 0.666 1919 1.748 1920 0.552 1921 1.195 1922 0.911 1923 1.373 1924 0.424 1925 0.462 1926 0.601 1927 0.703 1928 0.966 1929 1.145 1930 0.48 1931 0.507 1932 1.077 1933 1.09 1934 0.834 1935 1.47 1936 1.041 1937 1.028 1938 1.194 1939 1.398 1940 0.791 1941 0.632 1942 0.697 1943 0.787 1944 1.181 1945 1.331 1946 1.159 1947 1.582 1948 0.773 1949 1.701 1950 0.357 1951 0.831 1952 0.907 1953 1.425 1954 1.014 1955 0.821 1956 0.385 1957 0.87 1958 1.113 1959 1.987 1960 1.153 1961 1.564 1962 0.838 1963 0.645 1964 0.874 1965 0.899 1966 1.195 1967 0.906 1968 0.729 1969 0.787 1970 1.141 1971 1.155 1972 1.603 1973 2.009 1974 1.529 1975 1.59 1976 0.845 1977 0.791 1978 0.919 1979 0.554 1980 0.757 1981 0.57 1982 0.806 1983 1.016 1984 0.998 1985 0.435 1986 0.901 1987 0.801 1988 0.734 1989 1.486 1990 0.989 1991 2.004 1992 0.359