# asia_jord001 - Dana Reserve and Tor Al-Iraq - 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/5127 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_jord001 - Dana Reserve and Tor Al-Iraq - 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: Dana Reserve and Tor Al-Iraq # Location: # Country: Jordan # Northernmost_Latitude: 30.63 # Southernmost_Latitude: 30.63 # Easternmost_Longitude: 35.5 # Westernmost_Longitude: 35.5 # Elevation: 1250 m #-------------------- # Data_Collection # Collection_Name: asia_jord001B # Earliest_Year: 1634 # Most_Recent_Year: 1995 # 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":"5.13109055595","T2":"17.5793393374","M1":"0.0193101090003","M2":"0.364880557524"}} #-------------------- # Species # Species_Name: Phoenicean juniper # Species_Code: JUPH #-------------------- # 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 1634 0.87 1635 0.726 1636 0.517 1637 0.552 1638 0.68 1639 0.694 1640 0.791 1641 0.756 1642 0.436 1643 0.809 1644 0.916 1645 1.192 1646 1.007 1647 0.692 1648 0.391 1649 0.811 1650 0.649 1651 0.569 1652 1.054 1653 1.065 1654 0.943 1655 1.125 1656 0.521 1657 1.197 1658 0.845 1659 0.927 1660 1.358 1661 1.304 1662 1.279 1663 1.237 1664 0.562 1665 1.192 1666 0.962 1667 0.942 1668 1.12 1669 0.978 1670 1.18 1671 1.113 1672 1.316 1673 1.415 1674 1.261 1675 1.234 1676 1.143 1677 1.567 1678 1.108 1679 1.108 1680 0.331 1681 1.128 1682 0.901 1683 1.023 1684 0.874 1685 1.051 1686 1.154 1687 1.095 1688 0.148 1689 1.226 1690 0.645 1691 0.102 1692 0.286 1693 1.029 1694 0.955 1695 1.121 1696 1.104 1697 1.003 1698 0.428 1699 0.802 1700 0.82 1701 0.668 1702 0.597 1703 0.765 1704 0.86 1705 0.77 1706 0.958 1707 0.702 1708 0.972 1709 1.287 1710 1.185 1711 1.12 1712 1.0 1713 0.622 1714 1.052 1715 1.213 1716 0.831 1717 1.237 1718 1.115 1719 1.085 1720 1.265 1721 1.06 1722 0.979 1723 0.936 1724 1.015 1725 1.05 1726 0.825 1727 1.142 1728 0.877 1729 0.654 1730 0.217 1731 0.794 1732 0.714 1733 0.155 1734 0.936 1735 1.054 1736 0.912 1737 0.931 1738 1.231 1739 1.393 1740 1.535 1741 1.617 1742 1.359 1743 1.454 1744 1.424 1745 1.076 1746 1.535 1747 1.242 1748 0.619 1749 1.454 1750 0.85 1751 0.86 1752 1.267 1753 1.087 1754 1.151 1755 0.648 1756 0.935 1757 0.989 1758 1.017 1759 0.853 1760 1.335 1761 1.041 1762 1.079 1763 0.354 1764 1.039 1765 0.538 1766 0.969 1767 0.51 1768 0.853 1769 0.814 1770 0.769 1771 1.142 1772 0.869 1773 0.998 1774 1.049 1775 0.87 1776 1.343 1777 1.346 1778 0.203 1779 0.984 1780 0.809 1781 0.388 1782 0.427 1783 0.445 1784 0.465 1785 0.893 1786 -0.057 1787 0.898 1788 0.749 1789 0.46 1790 1.088 1791 1.367 1792 0.637 1793 1.032 1794 0.927 1795 1.468 1796 0.959 1797 1.334 1798 1.703 1799 1.381 1800 0.604 1801 1.597 1802 1.217 1803 1.794 1804 1.117 1805 1.207 1806 1.016 1807 1.025 1808 1.124 1809 1.043 1810 0.713 1811 1.144 1812 0.742 1813 0.764 1814 0.369 1815 0.809 1816 0.662 1817 1.111 1818 1.153 1819 0.953 1820 1.239 1821 1.549 1822 1.499 1823 1.651 1824 1.468 1825 1.159 1826 1.042 1827 0.279 1828 1.262 1829 1.065 1830 1.248 1831 0.765 1832 1.309 1833 1.0 1834 1.038 1835 1.525 1836 1.288 1837 0.622 1838 0.977 1839 1.107 1840 0.919 1841 1.267 1842 1.024 1843 1.081 1844 1.156 1845 0.642 1846 0.799 1847 0.528 1848 0.527 1849 0.981 1850 0.929 1851 0.946 1852 1.191 1853 1.038 1854 0.555 1855 1.152 1856 0.859 1857 1.005 1858 0.828 1859 0.826 1860 0.795 1861 1.206 1862 1.014 1863 0.984 1864 1.14 1865 0.528 1866 1.141 1867 0.829 1868 0.825 1869 0.926 1870 0.282 1871 0.444 1872 0.779 1873 0.411 1874 0.742 1875 0.969 1876 1.27 1877 0.911 1878 1.349 1879 1.051 1880 1.2 1881 1.602 1882 1.596 1883 0.885 1884 1.35 1885 1.054 1886 1.052 1887 1.069 1888 1.002 1889 1.166 1890 1.038 1891 1.329 1892 1.257 1893 1.181 1894 1.0 1895 0.284 1896 1.193 1897 1.003 1898 0.892 1899 0.953 1900 1.164 1901 1.192 1902 0.879 1903 1.013 1904 1.044 1905 1.28 1906 1.073 1907 0.989 1908 1.556 1909 1.047 1910 1.112 1911 1.41 1912 1.04 1913 0.999 1914 0.947 1915 0.995 1916 0.708 1917 1.398 1918 1.549 1919 1.238 1920 1.037 1921 1.244 1922 1.0 1923 1.075 1924 1.142 1925 0.984 1926 0.8 1927 0.795 1928 1.024 1929 0.758 1930 1.119 1931 0.822 1932 0.818 1933 0.505 1934 1.041 1935 0.432 1936 0.067 1937 0.727 1938 0.52 1939 0.797 1940 1.154 1941 0.945 1942 1.051 1943 1.276 1944 1.254 1945 1.308 1946 1.215 1947 0.862 1948 1.039 1949 0.705 1950 0.824 1951 0.993 1952 1.237 1953 0.553 1954 1.269 1955 0.815 1956 1.037 1957 1.155 1958 0.292 1959 1.057 1960 0.632 1961 0.827 1962 0.581 1963 -0.042 1964 0.542 1965 0.603 1966 0.675 1967 1.121 1968 1.057 1969 1.457 1970 0.568 1971 1.39 1972 1.532 1973 0.883 1974 1.579 1975 1.342 1976 0.585 1977 1.582 1978 0.646 1979 1.558 1980 0.993 1981 1.233 1982 1.157 1983 1.55 1984 0.591 1985 1.175 1986 1.249 1987 0.357 1988 0.866 1989 0.613 1990 0.84 1991 1.014 1992 1.25 1993 0.998 1994 1.07 1995 1.245