# northamerica_usa_az080 - Spider Rock Canyon de Chelly - 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/3108 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az080 - Spider Rock Canyon de Chelly - 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: Spider Rock Canyon de Chelly # Location: # Country: United States # Northernmost_Latitude: 36.1 # Southernmost_Latitude: 36.1 # Easternmost_Longitude: -109.35 # Westernmost_Longitude: -109.35 # Elevation: 1905 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az080B # Earliest_Year: 1664 # Most_Recent_Year: 1971 # 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":"4.84125691352","T2":"16.9019531477","M1":"0.0235995393937","M2":"0.434940693924"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1664 0.453 1665 1.164 1666 0.871 1667 0.703 1668 0.438 1669 0.556 1670 0.177 1671 0.469 1672 0.676 1673 1.084 1674 1.355 1675 0.977 1676 0.965 1677 0.94 1678 1.46 1679 0.725 1680 1.162 1681 1.473 1682 1.185 1683 1.413 1684 0.945 1685 0.315 1686 1.013 1687 0.927 1688 1.216 1689 1.299 1690 1.148 1691 1.254 1692 1.219 1693 1.697 1694 1.187 1695 1.159 1696 0.619 1697 0.726 1698 1.326 1699 1.31 1700 0.386 1701 1.201 1702 0.889 1703 1.069 1704 0.743 1705 1.008 1706 1.176 1707 0.663 1708 0.911 1709 0.741 1710 1.267 1711 1.151 1712 1.334 1713 0.612 1714 1.168 1715 1.07 1716 0.728 1717 0.624 1718 0.959 1719 1.355 1720 1.985 1721 1.902 1722 1.238 1723 1.457 1724 0.892 1725 1.707 1726 1.867 1727 1.596 1728 0.605 1729 0.118 1730 0.537 1731 0.738 1732 0.902 1733 0.964 1734 0.635 1735 0.273 1736 0.761 1737 0.58 1738 0.745 1739 0.395 1740 0.417 1741 0.727 1742 0.575 1743 1.35 1744 1.338 1745 1.479 1746 2.182 1747 2.464 1748 0.95 1749 1.749 1750 1.181 1751 0.94 1752 0.743 1753 0.175 1754 0.533 1755 0.359 1756 0.363 1757 0.538 1758 0.677 1759 0.98 1760 1.077 1761 0.876 1762 0.915 1763 0.818 1764 1.179 1765 0.892 1766 1.516 1767 1.232 1768 1.453 1769 1.197 1770 0.964 1771 1.347 1772 1.143 1773 0.512 1774 0.877 1775 0.517 1776 0.495 1777 0.448 1778 0.35 1779 0.655 1780 0.313 1781 0.561 1782 0.509 1783 0.956 1784 1.291 1785 1.022 1786 0.965 1787 1.272 1788 0.502 1789 0.59 1790 0.255 1791 1.114 1792 1.272 1793 1.293 1794 1.04 1795 0.697 1796 1.009 1797 1.444 1798 1.21 1799 1.338 1800 1.186 1801 0.538 1802 1.226 1803 1.079 1804 1.241 1805 0.7 1806 0.493 1807 1.095 1808 0.68 1809 0.767 1810 0.303 1811 0.652 1812 0.915 1813 0.461 1814 0.735 1815 0.991 1816 1.68 1817 1.328 1818 0.302 1819 0.285 1820 0.189 1821 0.959 1822 0.189 1823 0.421 1824 0.607 1825 0.899 1826 0.993 1827 0.998 1828 1.388 1829 0.725 1830 1.129 1831 1.009 1832 0.491 1833 1.132 1834 0.754 1835 1.443 1836 1.158 1837 1.374 1838 1.453 1839 1.897 1840 1.624 1841 0.972 1842 0.45 1843 0.74 1844 1.219 1845 0.907 1846 0.73 1847 0.17 1848 0.965 1849 1.133 1850 1.45 1851 0.638 1852 1.299 1853 1.433 1854 1.112 1855 1.759 1856 1.333 1857 1.012 1858 1.512 1859 1.188 1860 0.704 1861 0.186 1862 0.766 1863 0.864 1864 0.723 1865 0.997 1866 1.336 1867 1.774 1868 1.553 1869 2.095 1870 1.559 1871 1.438 1872 0.544 1873 0.744 1874 0.903 1875 0.627 1876 0.923 1877 1.075 1878 1.169 1879 1.325 1880 0.969 1881 0.77 1882 0.984 1883 1.047 1884 1.14 1885 1.214 1886 1.042 1887 0.694 1888 1.279 1889 1.298 1890 1.498 1891 1.404 1892 1.638 1893 0.773 1894 0.422 1895 0.7 1896 0.453 1897 0.696 1898 0.716 1899 0.305 1900 0.586 1901 0.587 1902 0.025 1903 0.737 1904 0.532 1905 0.903 1906 1.066 1907 1.409 1908 1.093 1909 1.473 1910 1.202 1911 1.729 1912 2.031 1913 0.984 1914 1.514 1915 1.766 1916 1.401 1917 1.489 1918 0.898 1919 1.522 1920 1.742 1921 1.29 1922 1.572 1923 0.978 1924 1.376 1925 0.968 1926 1.549 1927 1.208 1928 1.08 1929 0.944 1930 1.141 1931 1.164 1932 1.201 1933 0.687 1934 0.758 1935 0.79 1936 0.71 1937 1.065 1938 1.11 1939 0.937 1940 0.98 1941 1.275 1942 1.432 1943 1.142 1944 1.345 1945 1.091 1946 0.757 1947 0.847 1948 1.212 1949 1.237 1950 0.6 1951 0.141 1952 0.905 1953 0.549 1954 0.402 1955 0.527 1956 0.408 1957 0.493 1958 0.646 1959 0.149 1960 0.665 1961 0.568 1962 0.718 1963 0.862 1964 0.602 1965 1.117 1966 1.089 1967 0.453 1968 1.005 1969 0.893 1970 1.092 1971 0.726