# southamerica_arge031 - Bahia Crossley Isla de los Estados - 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/2769 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_arge031 - Bahia Crossley Isla de los Estados - 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: Bahia Crossley Isla de los Estados # Location: # Country: Argentina # Northernmost_Latitude: -54.7 # Southernmost_Latitude: -54.7 # Easternmost_Longitude: -64.67 # Westernmost_Longitude: -64.67 # Elevation: 20 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge031B # Earliest_Year: 1840 # Most_Recent_Year: 1986 # 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":"6.12300860687","T2":"17.2098473326","M1":"0.0223223586485","M2":"0.395495745531"}} #-------------------- # 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 1840 0.308 1841 0.654 1842 0.42 1843 0.506 1844 0.739 1845 0.518 1846 0.754 1847 0.792 1848 0.813 1849 0.702 1850 0.815 1851 0.821 1852 0.789 1853 0.501 1854 0.333 1855 0.783 1856 0.331 1857 0.675 1858 0.793 1859 0.66 1860 0.836 1861 1.051 1862 0.59 1863 0.915 1864 0.606 1865 1.031 1866 0.911 1867 0.871 1868 0.853 1869 0.84 1870 0.619 1871 0.82 1872 0.506 1873 0.768 1874 0.496 1875 0.998 1876 1.134 1877 1.001 1878 0.86 1879 0.902 1880 1.376 1881 0.924 1882 0.589 1883 1.047 1884 0.441 1885 0.736 1886 0.696 1887 0.847 1888 0.722 1889 0.857 1890 0.701 1891 0.908 1892 0.524 1893 0.863 1894 0.912 1895 1.095 1896 1.018 1897 1.347 1898 0.896 1899 1.391 1900 1.306 1901 1.418 1902 1.215 1903 1.382 1904 1.261 1905 1.503 1906 1.148 1907 1.125 1908 1.218 1909 0.751 1910 0.916 1911 0.778 1912 0.819 1913 0.958 1914 0.653 1915 0.771 1916 0.456 1917 0.963 1918 1.082 1919 1.483 1920 1.226 1921 1.571 1922 1.442 1923 1.348 1924 1.597 1925 1.398 1926 1.01 1927 1.783 1928 1.294 1929 1.004 1930 0.529 1931 1.103 1932 0.387 1933 1.023 1934 0.552 1935 1.127 1936 0.581 1937 1.299 1938 0.995 1939 1.595 1940 1.223 1941 1.751 1942 1.149 1943 1.163 1944 1.528 1945 1.738 1946 1.45 1947 1.25 1948 0.878 1949 1.278 1950 1.024 1951 1.566 1952 0.659 1953 1.07 1954 0.751 1955 1.098 1956 0.907 1957 0.972 1958 0.623 1959 1.095 1960 0.408 1961 0.734 1962 0.367 1963 0.815 1964 0.862 1965 1.09 1966 1.034 1967 1.115 1968 0.982 1969 0.958 1970 0.875 1971 0.748 1972 0.964 1973 1.01 1974 0.593 1975 0.768 1976 0.535 1977 0.562 1978 0.326 1979 0.909 1980 0.515 1981 1.13 1982 1.051 1983 1.214 1984 0.804 1985 0.971 1986 0.719