# northamerica_usa_tn021 - Lynn Hollow - 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/4890 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_tn021 - Lynn Hollow - 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: Lynn Hollow # Location: # Country: United States # Northernmost_Latitude: 35.62 # Southernmost_Latitude: 35.62 # Easternmost_Longitude: -85.43 # Westernmost_Longitude: -85.43 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_tn021B # Earliest_Year: 1802 # Most_Recent_Year: 1997 # 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":"5.08233807331","T2":"16.4181231038","M1":"0.0220852530823","M2":"0.578328507023"}} #-------------------- # Species # Species_Name: chestnut oak # Species_Code: QUPR #-------------------- # 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 1802 1.112 1803 1.022 1804 0.774 1805 0.979 1806 0.873 1807 0.829 1808 0.753 1809 0.763 1810 0.836 1811 0.805 1812 0.683 1813 0.808 1814 1.134 1815 1.08 1816 0.926 1817 1.034 1818 0.896 1819 0.835 1820 1.141 1821 0.679 1822 0.922 1823 0.996 1824 1.185 1825 1.001 1826 0.773 1827 0.955 1828 1.021 1829 0.97 1830 1.065 1831 1.055 1832 1.034 1833 1.2 1834 1.095 1835 1.084 1836 0.99 1837 0.929 1838 0.745 1839 0.794 1840 1.178 1841 0.979 1842 1.046 1843 1.071 1844 0.95 1845 0.943 1846 0.897 1847 1.121 1848 1.008 1849 1.138 1850 0.753 1851 0.806 1852 1.125 1853 0.815 1854 0.793 1855 0.768 1856 0.913 1857 1.0 1858 1.045 1859 0.916 1860 1.11 1861 1.04 1862 0.952 1863 0.985 1864 1.097 1865 1.015 1866 0.924 1867 0.949 1868 0.84 1869 0.946 1870 0.949 1871 1.01 1872 0.773 1873 1.001 1874 0.775 1875 1.265 1876 1.351 1877 1.255 1878 1.301 1879 0.893 1880 1.084 1881 1.277 1882 1.502 1883 1.346 1884 1.447 1885 1.114 1886 1.317 1887 1.115 1888 1.178 1889 1.398 1890 1.081 1891 1.288 1892 1.479 1893 1.248 1894 0.982 1895 1.061 1896 1.281 1897 1.206 1898 0.922 1899 1.02 1900 0.858 1901 0.871 1902 1.006 1903 1.009 1904 0.89 1905 0.95 1906 0.837 1907 0.907 1908 0.927 1909 0.963 1910 0.934 1911 0.61 1912 0.949 1913 0.797 1914 0.641 1915 0.916 1916 0.934 1917 0.914 1918 0.963 1919 0.972 1920 0.884 1921 0.716 1922 1.034 1923 0.989 1924 0.984 1925 0.753 1926 0.881 1927 1.058 1928 1.138 1929 1.046 1930 0.874 1931 0.742 1932 0.869 1933 0.686 1934 0.819 1935 0.864 1936 0.633 1937 0.947 1938 1.083 1939 0.967 1940 0.965 1941 0.873 1942 1.021 1943 1.014 1944 0.865 1945 0.976 1946 0.961 1947 0.887 1948 0.867 1949 1.04 1950 1.075 1951 1.004 1952 0.919 1953 0.779 1954 0.776 1955 0.718 1956 0.751 1957 0.836 1958 0.857 1959 0.906 1960 0.873 1961 0.916 1962 0.83 1963 0.852 1964 0.772 1965 0.994 1966 0.818 1967 0.898 1968 0.933 1969 0.91 1970 0.892 1971 0.993 1972 1.009 1973 1.046 1974 1.054 1975 0.982 1976 0.94 1977 0.761 1978 0.978 1979 0.992 1980 0.966 1981 1.05 1982 0.986 1983 1.313 1984 0.893 1985 1.006 1986 0.926 1987 0.98 1988 0.881 1989 1.081 1990 1.204 1991 1.189 1992 1.275 1993 1.061 1994 1.169 1995 1.099 1996 1.232 1997 1.087