# northamerica_usa_az129 - Kaibab 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/5023 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az129 - Kaibab 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: Kaibab Plateau # Location: # Country: United States # Northernmost_Latitude: 36.63 # Southernmost_Latitude: 36.63 # Easternmost_Longitude: -112.1 # Westernmost_Longitude: -112.1 # Elevation: 2100 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az129B # Earliest_Year: 1638 # Most_Recent_Year: 1976 # 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":"4.17766744491","T2":"16.3028042917","M1":"0.0230861983053","M2":"0.482808916152"}} #-------------------- # 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 1638 0.781 1639 1.073 1640 1.387 1641 1.245 1642 1.166 1643 1.015 1644 1.099 1645 0.997 1646 0.756 1647 1.048 1648 0.761 1649 1.079 1650 0.968 1651 1.323 1652 0.648 1653 0.807 1654 0.323 1655 1.032 1656 1.104 1657 0.967 1658 1.024 1659 1.393 1660 1.159 1661 1.392 1662 1.312 1663 1.19 1664 1.344 1665 1.304 1666 1.148 1667 1.07 1668 0.855 1669 1.131 1670 0.335 1671 0.594 1672 1.045 1673 1.078 1674 1.15 1675 0.839 1676 1.128 1677 1.112 1678 1.134 1679 1.154 1680 1.177 1681 1.224 1682 1.189 1683 1.284 1684 0.469 1685 0.653 1686 0.312 1687 1.078 1688 0.992 1689 1.036 1690 0.815 1691 0.811 1692 1.077 1693 0.97 1694 0.868 1695 0.951 1696 0.971 1697 0.898 1698 0.878 1699 0.891 1700 0.637 1701 1.054 1702 0.884 1703 0.422 1704 1.006 1705 1.126 1706 1.155 1707 0.448 1708 0.745 1709 0.915 1710 1.3 1711 1.051 1712 0.991 1713 0.748 1714 0.811 1715 1.059 1716 0.631 1717 0.956 1718 1.399 1719 1.382 1720 1.888 1721 1.257 1722 0.83 1723 1.392 1724 1.051 1725 1.572 1726 1.978 1727 1.479 1728 1.02 1729 0.435 1730 1.174 1731 0.915 1732 0.975 1733 0.686 1734 1.222 1735 0.56 1736 0.442 1737 0.638 1738 1.107 1739 0.752 1740 0.678 1741 0.91 1742 0.391 1743 1.296 1744 0.947 1745 1.15 1746 1.417 1747 1.384 1748 0.464 1749 1.35 1750 0.584 1751 0.868 1752 0.463 1753 1.014 1754 1.322 1755 1.107 1756 1.064 1757 0.946 1758 1.187 1759 1.353 1760 1.085 1761 0.775 1762 1.07 1763 0.723 1764 1.21 1765 1.132 1766 1.0 1767 1.015 1768 1.091 1769 0.912 1770 1.028 1771 1.443 1772 0.861 1773 0.319 1774 0.807 1775 1.024 1776 0.638 1777 0.515 1778 0.642 1779 0.866 1780 0.783 1781 0.547 1782 0.834 1783 1.098 1784 1.551 1785 0.732 1786 1.058 1787 1.603 1788 1.238 1789 0.726 1790 1.373 1791 1.671 1792 1.232 1793 1.705 1794 1.168 1795 1.412 1796 0.741 1797 0.958 1798 0.68 1799 1.314 1800 0.811 1801 0.642 1802 1.688 1803 0.747 1804 1.196 1805 0.36 1806 0.709 1807 1.429 1808 0.8 1809 0.823 1810 0.943 1811 1.62 1812 1.048 1813 -0.062 1814 0.991 1815 1.06 1816 1.248 1817 1.023 1818 0.665 1819 1.03 1820 0.205 1821 1.1 1822 0.538 1823 0.983 1824 1.06 1825 1.112 1826 0.951 1827 0.81 1828 1.208 1829 0.329 1830 1.061 1831 0.887 1832 1.03 1833 1.431 1834 1.13 1835 1.323 1836 0.713 1837 1.48 1838 1.209 1839 1.479 1840 1.272 1841 0.655 1842 0.671 1843 1.047 1844 0.935 1845 0.721 1846 0.859 1847 -0.062 1848 1.578 1849 1.531 1850 1.505 1851 1.108 1852 1.38 1853 1.352 1854 0.886 1855 1.198 1856 0.989 1857 0.887 1858 0.927 1859 0.577 1860 0.724 1861 1.15 1862 0.7 1863 0.601 1864 0.914 1865 1.051 1866 1.068 1867 1.261 1868 1.345 1869 1.073 1870 0.496 1871 -0.061 1872 1.493 1873 0.716 1874 1.526 1875 1.115 1876 0.671 1877 0.795 1878 1.071 1879 -0.061 1880 0.425 1881 0.246 1882 0.825 1883 0.612 1884 1.333 1885 1.405 1886 1.143 1887 0.639 1888 1.213 1889 1.345 1890 1.514 1891 1.297 1892 1.42 1893 1.124 1894 1.043 1895 1.008 1896 -0.061 1897 1.417 1898 1.255 1899 0.057 1900 0.865 1901 0.909 1902 0.271 1903 1.428 1904 0.237 1905 1.223 1906 1.379 1907 1.327 1908 1.234 1909 1.071 1910 1.023 1911 1.472 1912 1.232 1913 1.185 1914 1.175 1915 1.071 1916 0.981 1917 1.448 1918 0.781 1919 1.36 1920 1.368 1921 0.469 1922 1.133 1923 1.305 1924 1.059 1925 0.775 1926 1.27 1927 0.928 1928 1.089 1929 0.277 1930 0.296 1931 0.701 1932 1.049 1933 1.063 1934 0.836 1935 1.045 1936 0.528 1937 1.251 1938 1.291 1939 0.848 1940 1.212 1941 1.363 1942 1.14 1943 0.942 1944 0.939 1945 0.725 1946 0.351 1947 0.637 1948 1.354 1949 1.078 1950 0.717 1951 0.168 1952 1.331 1953 0.816 1954 1.13 1955 0.669 1956 0.621 1957 1.106 1958 1.204 1959 0.866 1960 1.345 1961 1.198 1962 1.02 1963 1.1 1964 0.932 1965 1.211 1966 1.097 1967 1.14 1968 0.947 1969 1.306 1970 0.904 1971 0.593 1972 0.889 1973 1.347 1974 0.385 1975 1.441 1976 1.41