# southamerica_arge040 - Estancia Harberton - 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/2775 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_arge040 - Estancia Harberton - 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: Estancia Harberton # Location: # Country: Argentina # Northernmost_Latitude: -54.92 # Southernmost_Latitude: -54.92 # Easternmost_Longitude: -67.33 # Westernmost_Longitude: -67.33 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge040B # Earliest_Year: 1772 # Most_Recent_Year: 1985 # 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":"7.85564432849","T2":"17.2164870448","M1":"0.0221983210377","M2":"0.406437458063"}} #-------------------- # Species # Species_Name: coihue de Magallanes # Species_Code: NOBE #-------------------- # 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 1772 1.35 1773 0.987 1774 0.961 1775 0.984 1776 0.77 1777 0.173 1778 0.211 1779 0.917 1780 0.887 1781 0.901 1782 0.915 1783 0.393 1784 0.911 1785 1.181 1786 1.112 1787 0.699 1788 1.321 1789 0.727 1790 0.154 1791 0.253 1792 1.213 1793 1.275 1794 1.314 1795 1.185 1796 1.013 1797 1.076 1798 1.05 1799 1.193 1800 1.258 1801 1.191 1802 1.018 1803 1.089 1804 0.334 1805 0.098 1806 0.754 1807 1.229 1808 1.309 1809 1.011 1810 1.067 1811 0.867 1812 0.504 1813 0.413 1814 1.11 1815 1.059 1816 0.947 1817 0.997 1818 0.723 1819 0.666 1820 1.087 1821 1.031 1822 1.066 1823 1.145 1824 0.927 1825 0.401 1826 0.568 1827 1.143 1828 1.313 1829 1.19 1830 1.514 1831 1.26 1832 0.821 1833 0.454 1834 0.232 1835 1.16 1836 1.615 1837 1.502 1838 1.245 1839 0.356 1840 0.104 1841 0.855 1842 1.224 1843 1.072 1844 1.167 1845 0.596 1846 0.093 1847 0.107 1848 1.149 1849 1.262 1850 1.221 1851 0.875 1852 0.252 1853 0.861 1854 0.94 1855 0.863 1856 1.074 1857 1.333 1858 1.351 1859 1.26 1860 0.679 1861 0.249 1862 1.137 1863 1.888 1864 1.359 1865 1.105 1866 0.89 1867 0.473 1868 0.66 1869 1.648 1870 1.443 1871 1.234 1872 1.007 1873 0.997 1874 0.495 1875 0.644 1876 1.342 1877 1.303 1878 1.224 1879 1.589 1880 0.646 1881 1.013 1882 1.299 1883 1.611 1884 1.771 1885 1.643 1886 1.303 1887 0.96 1888 0.917 1889 1.3 1890 1.744 1891 1.493 1892 1.266 1893 1.076 1894 0.75 1895 0.87 1896 1.12 1897 1.722 1898 1.787 1899 1.366 1900 1.297 1901 0.527 1902 0.281 1903 0.921 1904 1.186 1905 1.334 1906 1.027 1907 0.896 1908 0.964 1909 1.244 1910 1.112 1911 0.759 1912 0.912 1913 0.905 1914 0.542 1915 0.267 1916 0.721 1917 1.094 1918 0.973 1919 0.713 1920 0.875 1921 0.692 1922 0.773 1923 1.191 1924 1.178 1925 1.297 1926 1.061 1927 0.749 1928 0.21 1929 0.423 1930 1.178 1931 1.103 1932 1.273 1933 0.831 1934 0.949 1935 1.529 1936 0.691 1937 1.282 1938 1.869 1939 1.459 1940 0.997 1941 0.925 1942 0.62 1943 0.408 1944 1.359 1945 0.908 1946 0.617 1947 1.215 1948 0.996 1949 0.368 1950 0.248 1951 0.847 1952 0.414 1953 0.67 1954 1.28 1955 1.179 1956 1.062 1957 0.887 1958 0.241 1959 0.227 1960 0.705 1961 0.863 1962 0.958 1963 1.011 1964 0.522 1965 0.523 1966 1.317 1967 1.297 1968 0.879 1969 0.937 1970 0.546 1971 0.189 1972 1.144 1973 1.206 1974 1.096 1975 1.211 1976 1.376 1977 1.165 1978 1.018 1979 1.261 1980 1.13 1981 0.997 1982 1.298 1983 0.706 1984 0.642 1985 0.87