# northamerica_usa_nm575 - Capulin Volcano - 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/5288 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm575 - Capulin Volcano - 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: Capulin Volcano # Location: # Country: United States # Northernmost_Latitude: 36.77 # Southernmost_Latitude: 36.77 # Easternmost_Longitude: -103.95 # Westernmost_Longitude: -103.95 # Elevation: 2380 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm575B # Earliest_Year: 1782 # Most_Recent_Year: 1995 # 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":"3.18410659237","T2":"15.4653739476","M1":"0.0229707136438","M2":"0.478039605265"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1782 0.831 1783 1.102 1784 1.075 1785 1.176 1786 1.232 1787 0.68 1788 0.943 1789 0.422 1790 0.813 1791 0.589 1792 1.183 1793 1.272 1794 1.188 1795 0.858 1796 0.68 1797 1.006 1798 0.877 1799 0.89 1800 1.206 1801 1.055 1802 1.316 1803 1.184 1804 1.317 1805 1.039 1806 0.977 1807 1.21 1808 1.012 1809 0.83 1810 0.844 1811 0.895 1812 0.927 1813 1.102 1814 1.153 1815 0.682 1816 0.868 1817 0.956 1818 0.549 1819 0.603 1820 0.791 1821 0.439 1822 -0.015 1823 1.012 1824 0.668 1825 1.059 1826 1.157 1827 1.197 1828 1.336 1829 1.587 1830 1.39 1831 0.788 1832 1.404 1833 1.386 1834 1.001 1835 1.167 1836 1.151 1837 0.842 1838 1.2 1839 1.562 1840 1.204 1841 0.769 1842 0.806 1843 1.167 1844 1.056 1845 1.329 1846 0.668 1847 0.921 1848 0.587 1849 1.181 1850 1.078 1851 0.408 1852 1.079 1853 0.868 1854 1.359 1855 0.815 1856 0.605 1857 1.158 1858 1.149 1859 0.844 1860 0.627 1861 0.56 1862 0.374 1863 0.449 1864 0.53 1865 0.516 1866 0.578 1867 0.876 1868 1.089 1869 1.18 1870 0.794 1871 0.982 1872 1.137 1873 0.932 1874 0.5 1875 0.847 1876 0.838 1877 0.617 1878 1.163 1879 0.982 1880 0.163 1881 1.048 1882 0.953 1883 0.548 1884 1.402 1885 1.156 1886 0.983 1887 1.554 1888 0.589 1889 1.226 1890 1.087 1891 0.908 1892 1.291 1893 0.867 1894 1.338 1895 1.235 1896 0.855 1897 1.4 1898 1.036 1899 0.89 1900 1.41 1901 1.355 1902 0.599 1903 0.74 1904 0.805 1905 1.31 1906 0.837 1907 1.466 1908 1.129 1909 1.143 1910 1.246 1911 0.937 1912 1.146 1913 1.558 1914 1.545 1915 1.367 1916 0.979 1917 1.22 1918 1.578 1919 1.659 1920 1.414 1921 2.471 1922 1.719 1923 1.225 1924 1.739 1925 0.839 1926 1.44 1927 0.547 1928 1.211 1929 1.173 1930 1.487 1931 1.566 1932 1.178 1933 0.708 1934 0.399 1935 0.473 1936 0.239 1937 0.688 1938 0.343 1939 0.427 1940 0.604 1941 0.767 1942 0.802 1943 1.028 1944 1.082 1945 1.069 1946 0.957 1947 1.085 1948 1.046 1949 1.078 1950 0.246 1951 0.727 1952 0.346 1953 0.697 1954 0.351 1955 1.131 1956 0.23 1957 0.431 1958 1.382 1959 0.804 1960 0.69 1961 1.06 1962 0.918 1963 0.0 1964 0.534 1965 0.657 1966 0.273 1967 1.038 1968 0.551 1969 0.972 1970 0.948 1971 0.946 1972 0.705 1973 0.721 1974 0.417 1975 0.779 1976 0.572 1977 0.503 1978 0.889 1979 0.955 1980 0.809 1981 0.725 1982 0.92 1983 0.743 1984 0.67 1985 1.063 1986 1.28 1987 1.283 1988 1.146 1989 1.07 1990 0.953 1991 0.788 1992 1.468 1993 1.685 1994 1.588 1995 1.832