# southamerica_chil001 - Alto de las Mesas - 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/3504 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_chil001 - Alto de las Mesas - 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: Alto de las Mesas # Location: # Country: Chile # Northernmost_Latitude: -34.92 # Southernmost_Latitude: -34.92 # Easternmost_Longitude: -70.7 # Westernmost_Longitude: -70.7 # Elevation: 1020 m #-------------------- # Data_Collection # Collection_Name: southamerica_chil001B # Earliest_Year: 1840 # Most_Recent_Year: 1975 # 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":"4.78025020943","T2":"16.1208140843","M1":"0.0227457892601","M2":"0.479850946477"}} #-------------------- # Species # Species_Name: Chilean cedar # Species_Code: AUCH #-------------------- # 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 0.719 1841 0.736 1842 0.923 1843 1.135 1844 0.96 1845 0.84 1846 0.939 1847 0.943 1848 1.184 1849 1.167 1850 1.314 1851 1.35 1852 1.192 1853 1.066 1854 1.054 1855 1.459 1856 1.169 1857 1.667 1858 1.356 1859 0.912 1860 1.006 1861 1.087 1862 1.216 1863 1.113 1864 0.974 1865 0.917 1866 0.926 1867 0.94 1868 1.344 1869 1.179 1870 0.993 1871 0.774 1872 0.714 1873 0.769 1874 0.967 1875 1.222 1876 0.931 1877 0.776 1878 0.977 1879 0.809 1880 0.814 1881 1.007 1882 0.802 1883 1.001 1884 1.436 1885 1.319 1886 1.023 1887 1.158 1888 1.039 1889 0.957 1890 0.638 1891 0.863 1892 0.735 1893 0.598 1894 0.733 1895 0.856 1896 0.737 1897 0.746 1898 1.037 1899 0.889 1900 0.786 1901 0.848 1902 0.809 1903 0.918 1904 1.207 1905 1.261 1906 0.934 1907 0.893 1908 0.786 1909 0.768 1910 0.853 1911 0.829 1912 0.963 1913 0.823 1914 0.925 1915 1.118 1916 1.075 1917 0.919 1918 1.186 1919 1.295 1920 1.678 1921 1.23 1922 1.178 1923 1.131 1924 0.69 1925 0.762 1926 0.827 1927 0.935 1928 0.956 1929 0.869 1930 1.102 1931 1.063 1932 1.173 1933 0.731 1934 0.607 1935 0.641 1936 0.781 1937 0.754 1938 1.009 1939 1.061 1940 1.17 1941 1.058 1942 1.419 1943 1.178 1944 1.141 1945 0.987 1946 0.933 1947 0.97 1948 1.011 1949 0.913 1950 1.16 1951 1.073 1952 0.909 1953 0.973 1954 1.102 1955 1.265 1956 1.166 1957 0.845 1958 0.914 1959 0.779 1960 0.825 1961 0.981 1962 0.7 1963 1.142 1964 0.932 1965 1.165 1966 1.372 1967 1.143 1968 0.364 1969 0.922 1970 0.772 1971 1.03 1972 0.789 1973 1.049 1974 0.947 1975 0.949