# northamerica_usa_ky004 - Mammoth Cave Recollect - 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/2995 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ky004 - Mammoth Cave Recollect - 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: Mammoth Cave Recollect # Location: # Country: United States # Northernmost_Latitude: 37.18 # Southernmost_Latitude: 37.18 # Easternmost_Longitude: -86.1 # Westernmost_Longitude: -86.1 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ky004B # Earliest_Year: 1716 # Most_Recent_Year: 1985 # 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":"5.78013635549","T2":"17.9199408931","M1":"0.0230405001069","M2":"0.58181733801"}} #-------------------- # 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 1716 1.18 1717 1.195 1718 1.34 1719 1.323 1720 1.238 1721 1.278 1722 0.997 1723 1.097 1724 1.105 1725 1.11 1726 1.062 1727 1.028 1728 0.895 1729 1.028 1730 0.943 1731 0.828 1732 0.809 1733 0.93 1734 1.026 1735 0.759 1736 0.495 1737 0.684 1738 0.813 1739 0.963 1740 1.001 1741 1.127 1742 0.604 1743 0.537 1744 0.601 1745 0.769 1746 0.487 1747 0.703 1748 0.68 1749 0.532 1750 0.645 1751 0.668 1752 0.577 1753 0.487 1754 0.911 1755 0.737 1756 0.642 1757 0.581 1758 0.797 1759 0.857 1760 0.652 1761 1.004 1762 0.502 1763 0.837 1764 0.644 1765 0.648 1766 0.73 1767 0.612 1768 1.05 1769 1.247 1770 1.044 1771 1.14 1772 0.897 1773 0.85 1774 0.369 1775 0.65 1776 0.81 1777 1.012 1778 1.33 1779 1.243 1780 0.847 1781 1.325 1782 1.236 1783 1.208 1784 0.819 1785 0.817 1786 0.794 1787 0.983 1788 0.991 1789 0.834 1790 0.907 1791 0.931 1792 0.774 1793 1.108 1794 1.09 1795 0.892 1796 1.29 1797 1.328 1798 1.291 1799 0.849 1800 1.089 1801 0.977 1802 1.051 1803 0.962 1804 0.757 1805 1.006 1806 0.736 1807 0.827 1808 0.825 1809 0.767 1810 0.847 1811 0.886 1812 0.733 1813 0.826 1814 1.088 1815 0.964 1816 0.849 1817 1.009 1818 0.929 1819 0.854 1820 1.097 1821 0.584 1822 0.829 1823 0.852 1824 0.958 1825 0.746 1826 0.823 1827 1.093 1828 1.107 1829 1.053 1830 1.277 1831 1.4 1832 0.883 1833 0.566 1834 0.658 1835 1.086 1836 1.112 1837 1.339 1838 1.104 1839 0.784 1840 1.151 1841 0.822 1842 0.967 1843 0.977 1844 1.18 1845 1.263 1846 1.514 1847 1.253 1848 1.305 1849 1.291 1850 1.365 1851 1.036 1852 1.135 1853 1.102 1854 1.362 1855 1.055 1856 1.153 1857 1.383 1858 1.199 1859 1.023 1860 1.186 1861 1.0 1862 1.16 1863 0.921 1864 1.087 1865 1.024 1866 1.059 1867 1.219 1868 1.059 1869 1.269 1870 1.039 1871 1.091 1872 1.01 1873 1.091 1874 0.789 1875 1.178 1876 1.278 1877 0.973 1878 0.927 1879 0.72 1880 0.94 1881 1.168 1882 1.212 1883 1.181 1884 1.044 1885 0.903 1886 1.077 1887 1.058 1888 0.881 1889 1.15 1890 1.024 1891 1.013 1892 1.134 1893 1.076 1894 1.13 1895 0.83 1896 0.846 1897 1.155 1898 0.948 1899 1.011 1900 0.812 1901 0.844 1902 1.235 1903 1.218 1904 1.244 1905 1.019 1906 1.059 1907 1.099 1908 1.159 1909 1.167 1910 1.105 1911 0.786 1912 1.23 1913 0.999 1914 0.675 1915 1.301 1916 1.019 1917 1.059 1918 0.734 1919 0.827 1920 0.881 1921 0.823 1922 1.052 1923 1.006 1924 1.164 1925 0.849 1926 0.902 1927 0.911 1928 1.197 1929 0.931 1930 0.805 1931 0.68 1932 0.856 1933 0.804 1934 0.887 1935 0.917 1936 0.705 1937 0.836 1938 1.109 1939 0.982 1940 0.888 1941 0.775 1942 0.696 1943 0.729 1944 0.709 1945 0.963 1946 1.035 1947 1.081 1948 1.007 1949 0.973 1950 1.115 1951 1.175 1952 0.769 1953 0.835 1954 0.768 1955 1.006 1956 0.853 1957 1.025 1958 1.038 1959 0.879 1960 1.038 1961 1.222 1962 0.923 1963 0.928 1964 0.771 1965 1.03 1966 1.086 1967 0.94 1968 0.798 1969 0.815 1970 0.975 1971 1.047 1972 0.788 1973 1.016 1974 1.121 1975 0.946 1976 1.235 1977 1.107 1978 0.884 1979 0.767 1980 0.735 1981 0.87 1982 1.201 1983 0.959 1984 0.737 1985 1.257