# northamerica_usa_az544 - Santa Rita - 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/3406 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az544 - Santa Rita - 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: Santa Rita # Location: # Country: United States # Northernmost_Latitude: 31.72 # Southernmost_Latitude: 31.72 # Easternmost_Longitude: -110.83 # Westernmost_Longitude: -110.83 # Elevation: 2407 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az544B # Earliest_Year: 1653 # Most_Recent_Year: 1986 # 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":"3.50715672282","T2":"15.5381630395","M1":"0.0230316340295","M2":"0.482234998009"}} #-------------------- # 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 1653 0.568 1654 0.412 1655 0.799 1656 0.868 1657 1.044 1658 1.206 1659 1.039 1660 1.023 1661 1.27 1662 1.038 1663 1.114 1664 0.885 1665 1.117 1666 1.0 1667 0.831 1668 0.458 1669 0.409 1670 0.172 1671 0.703 1672 0.62 1673 0.813 1674 0.975 1675 1.043 1676 0.793 1677 1.002 1678 0.988 1679 0.709 1680 0.809 1681 0.659 1682 0.785 1683 0.863 1684 0.816 1685 0.361 1686 0.927 1687 0.917 1688 1.187 1689 1.251 1690 1.294 1691 1.253 1692 1.574 1693 1.569 1694 1.405 1695 1.252 1696 0.868 1697 0.776 1698 0.665 1699 1.169 1700 1.082 1701 1.642 1702 1.342 1703 1.391 1704 0.896 1705 0.718 1706 0.72 1707 0.592 1708 0.672 1709 0.7 1710 1.089 1711 0.924 1712 0.89 1713 0.794 1714 0.805 1715 0.906 1716 0.729 1717 0.994 1718 1.229 1719 0.584 1720 0.757 1721 0.44 1722 0.566 1723 0.586 1724 0.853 1725 0.711 1726 1.418 1727 1.158 1728 1.013 1729 1.326 1730 1.295 1731 1.279 1732 1.138 1733 0.463 1734 0.914 1735 0.697 1736 1.176 1737 1.077 1738 0.972 1739 0.495 1740 0.677 1741 0.905 1742 0.904 1743 1.798 1744 1.549 1745 1.565 1746 2.045 1747 1.702 1748 0.397 1749 1.391 1750 1.191 1751 1.034 1752 0.354 1753 0.416 1754 0.914 1755 0.677 1756 0.962 1757 1.095 1758 1.587 1759 1.255 1760 0.885 1761 0.689 1762 1.031 1763 0.522 1764 1.12 1765 1.313 1766 1.454 1767 1.224 1768 1.086 1769 1.178 1770 1.035 1771 1.168 1772 1.144 1773 0.727 1774 0.821 1775 1.026 1776 0.556 1777 0.515 1778 0.636 1779 0.664 1780 0.579 1781 0.602 1782 1.14 1783 1.261 1784 1.329 1785 0.921 1786 0.714 1787 1.174 1788 0.771 1789 0.687 1790 0.582 1791 0.789 1792 0.895 1793 1.017 1794 0.718 1795 1.988 1796 1.264 1797 0.783 1798 0.446 1799 1.252 1800 1.309 1801 1.142 1802 1.456 1803 1.226 1804 1.077 1805 1.078 1806 0.727 1807 1.005 1808 0.645 1809 1.203 1810 1.715 1811 0.988 1812 1.051 1813 0.82 1814 1.022 1815 1.467 1816 1.537 1817 0.934 1818 1.154 1819 0.382 1820 0.402 1821 0.602 1822 0.426 1823 0.589 1824 0.74 1825 0.705 1826 0.815 1827 1.084 1828 1.028 1829 1.081 1830 1.353 1831 1.002 1832 1.574 1833 1.566 1834 1.083 1835 1.638 1836 1.377 1837 1.015 1838 1.041 1839 1.146 1840 0.895 1841 0.501 1842 0.35 1843 0.573 1844 0.987 1845 1.014 1846 1.174 1847 0.653 1848 0.948 1849 1.044 1850 1.144 1851 0.791 1852 0.869 1853 1.061 1854 0.879 1855 1.021 1856 1.316 1857 1.021 1858 1.239 1859 1.28 1860 1.059 1861 1.056 1862 1.372 1863 0.347 1864 0.504 1865 0.698 1866 0.881 1867 1.092 1868 1.165 1869 1.308 1870 1.191 1871 1.048 1872 1.207 1873 0.921 1874 1.176 1875 1.738 1876 1.383 1877 1.31 1878 0.949 1879 0.882 1880 1.165 1881 1.152 1882 1.428 1883 1.304 1884 1.222 1885 1.019 1886 0.826 1887 1.103 1888 1.185 1889 0.824 1890 0.857 1891 1.031 1892 0.829 1893 0.786 1894 0.71 1895 0.625 1896 1.168 1897 1.243 1898 1.647 1899 1.416 1900 0.771 1901 0.923 1902 0.554 1903 1.131 1904 0.549 1905 1.333 1906 1.305 1907 1.539 1908 1.863 1909 1.539 1910 0.883 1911 1.2 1912 1.999 1913 1.566 1914 1.364 1915 1.634 1916 1.547 1917 1.393 1918 0.851 1919 1.446 1920 1.623 1921 0.9 1922 1.645 1923 0.952 1924 1.226 1925 0.71 1926 1.256 1927 1.377 1928 0.865 1929 0.615 1930 1.647 1931 1.185 1932 1.435 1933 0.757 1934 0.244 1935 0.903 1936 1.061 1937 0.941 1938 1.272 1939 0.567 1940 1.272 1941 1.369 1942 0.847 1943 0.449 1944 0.861 1945 0.676 1946 0.633 1947 0.334 1948 0.433 1949 0.777 1950 0.945 1951 0.808 1952 0.905 1953 0.576 1954 0.418 1955 0.516 1956 0.397 1957 0.763 1958 0.971 1959 0.902 1960 0.893 1961 0.411 1962 0.822 1963 0.478 1964 0.74 1965 1.033 1966 0.823 1967 0.867 1968 0.955 1969 0.46 1970 0.649 1971 0.285 1972 0.532 1973 0.874 1974 0.294 1975 0.865 1976 0.877 1977 0.521 1978 0.826 1979 0.907 1980 0.562 1981 0.588 1982 0.385 1983 0.892 1984 0.929 1985 0.902 1986 0.738