# northamerica_usa_mo008 - Greasy Creek - 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/3161 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo008 - Greasy Creek - 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: Greasy Creek # Location: # Country: United States # Northernmost_Latitude: 37.72 # Southernmost_Latitude: 37.72 # Easternmost_Longitude: -90.2 # Westernmost_Longitude: -90.2 # Elevation: 275 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo008B # Earliest_Year: 1796 # 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":"4.82172328924","T2":"16.4096102815","M1":"0.0224338748411","M2":"0.569809841055"}} #-------------------- # Species # Species_Name: post oak # Species_Code: QUST #-------------------- # 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 1796 1.221 1797 1.359 1798 0.941 1799 0.855 1800 0.473 1801 0.5 1802 0.928 1803 0.738 1804 0.69 1805 1.046 1806 0.971 1807 0.963 1808 1.071 1809 0.982 1810 1.282 1811 1.601 1812 1.256 1813 1.103 1814 1.055 1815 1.155 1816 0.674 1817 0.782 1818 1.016 1819 0.979 1820 0.715 1821 1.059 1822 1.109 1823 1.081 1824 1.324 1825 0.924 1826 0.869 1827 1.054 1828 1.104 1829 0.911 1830 1.244 1831 0.986 1832 0.806 1833 0.682 1834 0.493 1835 0.632 1836 0.726 1837 1.012 1838 0.82 1839 0.839 1840 0.889 1841 0.764 1842 0.945 1843 1.108 1844 1.345 1845 1.063 1846 1.127 1847 1.136 1848 1.077 1849 1.311 1850 1.014 1851 1.005 1852 1.144 1853 0.8 1854 1.067 1855 0.752 1856 0.661 1857 0.893 1858 1.005 1859 0.958 1860 1.059 1861 0.968 1862 1.011 1863 1.124 1864 0.789 1865 0.965 1866 1.178 1867 0.911 1868 0.672 1869 0.938 1870 0.761 1871 0.688 1872 0.698 1873 0.772 1874 0.626 1875 1.002 1876 1.271 1877 0.957 1878 0.784 1879 0.785 1880 0.865 1881 0.86 1882 1.171 1883 1.307 1884 1.236 1885 1.108 1886 1.219 1887 0.991 1888 0.892 1889 1.072 1890 0.777 1891 1.21 1892 1.297 1893 1.11 1894 0.719 1895 0.754 1896 1.173 1897 1.242 1898 1.112 1899 1.03 1900 0.886 1901 0.639 1902 0.643 1903 1.047 1904 1.476 1905 1.294 1906 1.185 1907 1.343 1908 1.009 1909 1.11 1910 1.354 1911 0.862 1912 1.215 1913 0.763 1914 0.882 1915 1.377 1916 1.531 1917 1.231 1918 1.078 1919 0.822 1920 0.927 1921 1.217 1922 1.387 1923 1.24 1924 1.362 1925 0.893 1926 0.926 1927 1.17 1928 1.359 1929 1.131 1930 0.729 1931 0.742 1932 0.82 1933 0.849 1934 0.726 1935 1.231 1936 0.705 1937 0.9 1938 1.116 1939 1.015 1940 0.955 1941 0.822 1942 1.072 1943 0.957 1944 0.872 1945 1.278 1946 1.031 1947 1.028 1948 1.005 1949 1.077 1950 1.04 1951 1.359 1952 0.867 1953 0.834 1954 0.755 1955 0.855 1956 0.799 1957 1.025 1958 0.91 1959 0.862 1960 1.044 1961 1.157 1962 0.902 1963 0.711 1964 0.693 1965 0.765 1966 0.735 1967 0.795 1968 0.793 1969 0.856 1970 0.879 1971 0.885 1972 0.798 1973 1.354 1974 1.35 1975 1.092 1976 0.974 1977 0.667 1978 0.827 1979 0.819 1980 0.706 1981 0.884 1982 1.017