# northamerica_usa_tn005 - Piney Creek Pocket Wilderness - 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/3178 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_tn005 - Piney Creek Pocket Wilderness - 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: Piney Creek Pocket Wilderness # Location: # Country: United States # Northernmost_Latitude: 35.7 # Southernmost_Latitude: 35.7 # Easternmost_Longitude: -84.88 # Westernmost_Longitude: -84.88 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_tn005B # Earliest_Year: 1789 # Most_Recent_Year: 1982 # 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":"5.45483876278","T2":"15.6192374937","M1":"0.0226045883692","M2":"0.589275295771"}} #-------------------- # Species # Species_Name: white oak # Species_Code: QUAL #-------------------- # 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 1789 0.907 1790 0.79 1791 0.85 1792 0.683 1793 0.808 1794 0.989 1795 0.855 1796 1.058 1797 1.079 1798 1.033 1799 0.944 1800 1.071 1801 0.96 1802 1.378 1803 1.272 1804 1.169 1805 1.377 1806 1.067 1807 0.977 1808 1.172 1809 1.229 1810 1.186 1811 1.039 1812 1.141 1813 1.028 1814 1.397 1815 1.365 1816 1.169 1817 1.3 1818 1.185 1819 1.028 1820 1.291 1821 0.954 1822 0.922 1823 1.149 1824 1.155 1825 0.897 1826 0.745 1827 0.897 1828 0.922 1829 0.791 1830 0.941 1831 0.938 1832 1.016 1833 0.779 1834 0.824 1835 0.86 1836 0.818 1837 0.792 1838 0.794 1839 0.538 1840 0.974 1841 0.726 1842 0.934 1843 0.912 1844 0.715 1845 0.88 1846 0.896 1847 0.913 1848 0.756 1849 0.97 1850 0.758 1851 0.718 1852 0.767 1853 0.766 1854 0.898 1855 0.95 1856 0.783 1857 0.94 1858 0.828 1859 0.743 1860 0.93 1861 0.805 1862 1.003 1863 0.881 1864 0.921 1865 1.089 1866 1.013 1867 1.061 1868 0.91 1869 1.141 1870 0.805 1871 0.878 1872 0.772 1873 0.901 1874 0.624 1875 0.809 1876 0.975 1877 0.923 1878 0.861 1879 0.655 1880 0.711 1881 0.884 1882 0.931 1883 0.966 1884 0.89 1885 0.883 1886 1.019 1887 0.92 1888 1.023 1889 1.338 1890 0.945 1891 0.857 1892 1.124 1893 0.876 1894 0.708 1895 0.739 1896 0.9 1897 0.78 1898 0.665 1899 0.833 1900 0.757 1901 0.831 1902 0.803 1903 0.947 1904 0.929 1905 1.031 1906 1.082 1907 1.189 1908 1.134 1909 0.967 1910 1.076 1911 0.594 1912 0.886 1913 0.782 1914 0.694 1915 1.049 1916 1.126 1917 1.226 1918 0.987 1919 0.991 1920 0.921 1921 0.927 1922 1.332 1923 1.449 1924 1.421 1925 0.811 1926 0.954 1927 1.218 1928 1.379 1929 1.371 1930 1.133 1931 0.968 1932 0.908 1933 1.031 1934 1.187 1935 1.366 1936 0.718 1937 1.142 1938 1.521 1939 1.133 1940 1.173 1941 1.033 1942 1.145 1943 0.998 1944 0.974 1945 1.339 1946 1.392 1947 1.206 1948 0.732 1949 1.028 1950 1.15 1951 1.236 1952 0.979 1953 0.792 1954 0.872 1955 0.977 1956 0.95 1957 0.759 1958 0.936 1959 0.828 1960 0.841 1961 0.935 1962 0.714 1963 0.881 1964 0.935 1965 1.017 1966 0.733 1967 0.911 1968 0.866 1969 0.768 1970 0.924 1971 1.025 1972 1.045 1973 1.12 1974 1.128 1975 0.985 1976 1.125 1977 0.879 1978 0.944 1979 0.814 1980 0.675 1981 0.985 1982 0.991