# northamerica_usa_az144 - Paria Plateau - 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/3477 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az144 - Paria Plateau - 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: Paria Plateau # Location: # Country: United States # Northernmost_Latitude: 36.83 # Southernmost_Latitude: 36.83 # Easternmost_Longitude: -112.05 # Westernmost_Longitude: -112.05 # Elevation: 1860 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az144B # Earliest_Year: 1648 # Most_Recent_Year: 1975 # 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":"4.33219250799","T2":"15.7650884505","M1":"0.0233421450937","M2":"0.503846074795"}} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1648 0.783 1649 1.211 1650 0.802 1651 1.577 1652 0.825 1653 1.28 1654 0.582 1655 1.507 1656 1.188 1657 0.911 1658 0.496 1659 1.091 1660 1.109 1661 1.257 1662 1.129 1663 0.793 1664 1.26 1665 1.03 1666 1.026 1667 0.641 1668 0.568 1669 0.934 1670 -0.021 1671 0.779 1672 1.204 1673 1.277 1674 1.452 1675 0.434 1676 1.267 1677 1.248 1678 1.063 1679 0.767 1680 1.492 1681 1.394 1682 0.998 1683 1.3 1684 0.393 1685 -0.027 1686 0.258 1687 1.378 1688 1.907 1689 1.581 1690 0.642 1691 0.704 1692 1.361 1693 0.872 1694 0.961 1695 0.976 1696 0.997 1697 1.249 1698 0.481 1699 0.825 1700 0.99 1701 1.5 1702 1.285 1703 0.258 1704 1.095 1705 1.125 1706 1.058 1707 0.413 1708 0.769 1709 1.146 1710 1.475 1711 0.75 1712 0.767 1713 0.606 1714 0.937 1715 1.175 1716 0.784 1717 1.024 1718 1.378 1719 1.456 1720 1.828 1721 0.653 1722 0.37 1723 1.142 1724 0.759 1725 1.22 1726 1.604 1727 1.16 1728 0.898 1729 0.114 1730 1.054 1731 1.179 1732 1.255 1733 0.461 1734 1.145 1735 0.064 1736 0.734 1737 0.781 1738 1.175 1739 0.537 1740 1.07 1741 1.103 1742 0.837 1743 1.497 1744 1.229 1745 1.107 1746 1.361 1747 1.391 1748 0.069 1749 1.319 1750 0.727 1751 0.873 1752 0.366 1753 0.639 1754 0.778 1755 0.435 1756 0.815 1757 0.906 1758 1.161 1759 1.174 1760 1.403 1761 0.537 1762 0.7 1763 0.568 1764 1.239 1765 0.988 1766 1.363 1767 1.509 1768 1.54 1769 1.512 1770 1.274 1771 1.727 1772 0.94 1773 0.351 1774 0.902 1775 1.315 1776 1.208 1777 1.162 1778 0.415 1779 1.044 1780 0.829 1781 1.232 1782 1.326 1783 1.283 1784 1.359 1785 0.437 1786 1.318 1787 1.398 1788 1.098 1789 0.791 1790 0.616 1791 1.315 1792 1.322 1793 1.579 1794 1.217 1795 1.524 1796 1.23 1797 0.718 1798 1.119 1799 0.887 1800 0.435 1801 0.537 1802 1.482 1803 0.784 1804 1.298 1805 0.335 1806 0.454 1807 0.899 1808 0.597 1809 1.013 1810 0.427 1811 0.751 1812 0.526 1813 0.24 1814 0.975 1815 1.065 1816 1.374 1817 0.938 1818 1.01 1819 1.016 1820 0.179 1821 1.257 1822 0.378 1823 1.054 1824 1.123 1825 1.293 1826 1.318 1827 0.994 1828 1.556 1829 0.503 1830 1.302 1831 1.265 1832 1.097 1833 1.699 1834 1.438 1835 1.116 1836 0.849 1837 1.322 1838 1.277 1839 1.539 1840 1.445 1841 0.783 1842 0.711 1843 1.302 1844 0.929 1845 0.173 1846 0.946 1847 0.06 1848 1.459 1849 1.374 1850 1.407 1851 1.077 1852 1.327 1853 1.064 1854 0.876 1855 1.033 1856 1.09 1857 1.028 1858 1.047 1859 0.74 1860 0.669 1861 0.071 1862 1.153 1863 0.377 1864 0.376 1865 1.09 1866 1.305 1867 1.095 1868 1.594 1869 1.279 1870 0.572 1871 -0.043 1872 1.28 1873 0.588 1874 0.946 1875 1.018 1876 0.438 1877 0.63 1878 1.074 1879 -0.043 1880 0.144 1881 0.594 1882 0.291 1883 0.116 1884 0.808 1885 1.053 1886 1.086 1887 0.256 1888 1.046 1889 1.068 1890 1.673 1891 1.302 1892 1.111 1893 1.27 1894 0.684 1895 1.107 1896 0.382 1897 1.205 1898 0.997 1899 -0.043 1900 0.479 1901 0.846 1902 0.202 1903 1.252 1904 0.15 1905 1.397 1906 1.426 1907 1.894 1908 1.537 1909 1.381 1910 1.219 1911 1.598 1912 1.123 1913 1.291 1914 1.627 1915 1.191 1916 1.506 1917 1.584 1918 0.877 1919 1.613 1920 1.306 1921 0.644 1922 1.586 1923 1.759 1924 1.062 1925 1.08 1926 1.558 1927 0.834 1928 1.246 1929 0.941 1930 1.245 1931 0.882 1932 1.296 1933 1.157 1934 0.429 1935 1.397 1936 0.674 1937 0.925 1938 1.419 1939 1.073 1940 1.154 1941 1.46 1942 1.044 1943 1.168 1944 1.184 1945 0.873 1946 0.623 1947 0.774 1948 1.201 1949 1.223 1950 0.813 1951 0.589 1952 1.271 1953 0.997 1954 0.917 1955 0.673 1956 0.819 1957 0.934 1958 1.302 1959 0.867 1960 1.093 1961 0.811 1962 0.885 1963 0.868 1964 0.786 1965 0.978 1966 1.071 1967 0.97 1968 0.795 1969 0.91 1970 0.944 1971 0.693 1972 0.696 1973 0.869 1974 0.536 1975 1.15