# southamerica_arge049 - Monte Grande Magallanes - 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/4272 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_arge049 - Monte Grande Magallanes - 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: Monte Grande Magallanes # Location: # Country: Argentina # Northernmost_Latitude: -53.2 # Southernmost_Latitude: -53.2 # Easternmost_Longitude: -72.17 # Westernmost_Longitude: -72.17 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge049B # Earliest_Year: 1827 # Most_Recent_Year: 1988 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"4.39498783893","T2":"15.7330355237","M1":"0.0229392145239","M2":"0.468850838361"}} #-------------------- # Species # Species_Name: lenga nothofagus # Species_Code: NOPU #-------------------- # 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 1827 0.195 1828 0.784 1829 1.513 1830 1.243 1831 1.254 1832 0.648 1833 0.143 1834 0.335 1835 1.101 1836 1.512 1837 1.662 1838 1.346 1839 0.97 1840 0.332 1841 0.077 1842 0.586 1843 1.343 1844 1.562 1845 0.841 1846 0.63 1847 0.202 1848 0.123 1849 0.467 1850 1.566 1851 0.599 1852 0.276 1853 1.167 1854 1.406 1855 1.631 1856 1.095 1857 1.275 1858 1.343 1859 0.834 1860 0.733 1861 1.477 1862 1.596 1863 1.487 1864 1.951 1865 1.749 1866 0.948 1867 0.861 1868 1.396 1869 1.556 1870 1.045 1871 0.851 1872 0.619 1873 0.832 1874 1.245 1875 1.271 1876 1.446 1877 1.234 1878 1.316 1879 1.125 1880 0.76 1881 0.686 1882 0.672 1883 0.996 1884 1.408 1885 1.538 1886 1.192 1887 1.042 1888 0.397 1889 0.212 1890 0.68 1891 1.037 1892 1.044 1893 0.956 1894 1.144 1895 0.796 1896 0.204 1897 0.243 1898 1.324 1899 1.532 1900 1.103 1901 1.038 1902 1.101 1903 0.475 1904 0.854 1905 1.535 1906 1.253 1907 1.468 1908 1.068 1909 0.819 1910 0.382 1911 0.378 1912 1.176 1913 1.183 1914 0.96 1915 0.722 1916 0.733 1917 0.889 1918 0.694 1919 0.565 1920 1.345 1921 1.692 1922 1.572 1923 1.002 1924 0.319 1925 0.275 1926 0.921 1927 1.193 1928 0.934 1929 0.996 1930 1.487 1931 0.546 1932 0.337 1933 1.07 1934 1.195 1935 0.841 1936 1.19 1937 0.812 1938 0.454 1939 1.208 1940 1.146 1941 1.1 1942 1.444 1943 1.097 1944 0.535 1945 0.494 1946 0.808 1947 0.972 1948 0.777 1949 0.678 1950 0.348 1951 0.366 1952 0.861 1953 1.061 1954 1.139 1955 0.978 1956 1.066 1957 0.63 1958 0.215 1959 0.664 1960 0.84 1961 0.817 1962 1.163 1963 1.079 1964 0.951 1965 0.802 1966 1.306 1967 1.253 1968 1.017 1969 0.861 1970 0.44 1971 0.505 1972 1.162 1973 1.11 1974 1.054 1975 0.929 1976 1.151 1977 0.913 1978 0.693 1979 0.994 1980 1.199 1981 1.151 1982 1.19 1983 1.17 1984 1.137 1985 1.246 1986 1.548 1987 1.356 1988 1.169