# northamerica_usa_az505 - Saddle Mountain Road - 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/5396 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az505 - Saddle Mountain Road - 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: Saddle Mountain Road # Location: # Country: United States # Northernmost_Latitude: 36.42 # Southernmost_Latitude: 36.42 # Easternmost_Longitude: -112.0 # Westernmost_Longitude: -112.0 # Elevation: 2745 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az505B # Earliest_Year: 1779 # 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":"4.59302639975","T2":"16.1982550712","M1":"0.0231899134322","M2":"0.463934500709"}} #-------------------- # 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 1779 1.398 1780 1.001 1781 1.173 1782 1.046 1783 1.703 1784 1.855 1785 1.331 1786 1.168 1787 1.519 1788 0.941 1789 1.01 1790 1.11 1791 0.995 1792 1.06 1793 1.09 1794 1.437 1795 1.165 1796 1.072 1797 0.771 1798 0.837 1799 1.031 1800 0.887 1801 0.658 1802 0.988 1803 0.877 1804 0.927 1805 0.734 1806 0.865 1807 0.866 1808 0.935 1809 1.021 1810 1.039 1811 1.062 1812 0.832 1813 0.728 1814 0.956 1815 0.944 1816 1.105 1817 0.967 1818 0.805 1819 0.822 1820 0.703 1821 0.973 1822 0.683 1823 0.943 1824 0.953 1825 0.841 1826 0.924 1827 1.042 1828 1.222 1829 0.871 1830 0.737 1831 0.896 1832 0.673 1833 0.461 1834 0.429 1835 0.57 1836 0.37 1837 0.458 1838 0.475 1839 0.731 1840 0.607 1841 0.466 1842 0.449 1843 0.598 1844 0.62 1845 0.385 1846 0.553 1847 0.43 1848 0.653 1849 1.005 1850 0.891 1851 0.712 1852 0.666 1853 0.708 1854 0.652 1855 0.74 1856 0.46 1857 0.65 1858 0.73 1859 0.564 1860 0.605 1861 0.49 1862 0.811 1863 0.542 1864 0.411 1865 0.569 1866 0.757 1867 0.913 1868 1.112 1869 1.037 1870 1.139 1871 1.037 1872 1.005 1873 0.832 1874 0.938 1875 0.822 1876 0.749 1877 0.91 1878 0.867 1879 0.48 1880 0.593 1881 0.732 1882 0.774 1883 0.933 1884 1.117 1885 1.149 1886 1.049 1887 1.216 1888 1.161 1889 1.129 1890 1.218 1891 1.137 1892 0.956 1893 0.706 1894 0.874 1895 0.95 1896 0.792 1897 1.084 1898 1.065 1899 0.621 1900 0.856 1901 0.986 1902 0.734 1903 1.118 1904 0.86 1905 1.012 1906 1.32 1907 1.222 1908 1.426 1909 1.648 1910 1.317 1911 1.741 1912 1.357 1913 1.277 1914 1.557 1915 1.335 1916 1.409 1917 1.402 1918 0.973 1919 1.229 1920 1.126 1921 1.313 1922 1.183 1923 1.372 1924 1.168 1925 1.235 1926 1.215 1927 1.302 1928 1.136 1929 1.102 1930 1.189 1931 1.147 1932 1.084 1933 1.049 1934 1.158 1935 1.314 1936 1.081 1937 1.38 1938 1.158 1939 0.995 1940 0.962 1941 1.176 1942 1.045 1943 0.904 1944 0.974 1945 0.766 1946 0.681 1947 0.849 1948 0.82 1949 0.737 1950 0.633 1951 0.559 1952 0.83 1953 0.846 1954 0.847 1955 0.876 1956 0.654 1957 0.825 1958 0.804 1959 0.749 1960 0.686 1961 0.611 1962 0.808 1963 0.602 1964 0.796 1965 0.947 1966 0.918 1967 0.862 1968 1.097 1969 1.177 1970 0.905 1971 0.887 1972 0.972 1973 1.065 1974 0.704 1975 1.245