# europe_spai022 - Albarracin Bezas - 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/4236 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai022 - Albarracin Bezas - 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: Albarracin Bezas # Location: # Country: Spain # Northernmost_Latitude: 40.3 # Southernmost_Latitude: 40.3 # Easternmost_Longitude: -1.33 # Westernmost_Longitude: -1.33 # Elevation: 1225 m #-------------------- # Data_Collection # Collection_Name: europe_spai022B # Earliest_Year: 1855 # Most_Recent_Year: 1985 # 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":"3.99521662412","T2":"15.4447112971","M1":"0.0228574093867","M2":"0.543081314301"}} #-------------------- # Species # Species_Name: maritime pine # Species_Code: PIPI #-------------------- # 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 1855 0.828 1856 0.668 1857 0.553 1858 0.363 1859 0.508 1860 0.645 1861 0.687 1862 0.81 1863 0.688 1864 0.678 1865 0.928 1866 0.786 1867 0.274 1868 0.504 1869 0.156 1870 0.531 1871 0.602 1872 0.83 1873 1.095 1874 1.04 1875 1.202 1876 0.908 1877 1.165 1878 1.118 1879 0.66 1880 0.944 1881 0.968 1882 0.637 1883 0.82 1884 1.005 1885 1.418 1886 1.402 1887 1.255 1888 1.896 1889 1.48 1890 1.026 1891 0.972 1892 1.464 1893 0.831 1894 1.246 1895 1.205 1896 1.208 1897 0.956 1898 1.157 1899 1.038 1900 1.157 1901 1.338 1902 1.594 1903 1.416 1904 1.381 1905 1.115 1906 1.317 1907 1.093 1908 1.628 1909 0.989 1910 0.822 1911 1.227 1912 0.666 1913 0.972 1914 1.149 1915 1.181 1916 0.592 1917 1.394 1918 0.977 1919 1.395 1920 1.246 1921 1.116 1922 1.118 1923 0.812 1924 0.675 1925 0.804 1926 1.304 1927 1.26 1928 1.189 1929 1.057 1930 0.74 1931 0.261 1932 0.702 1933 0.976 1934 1.032 1935 1.151 1936 1.284 1937 0.981 1938 0.975 1939 0.387 1940 0.938 1941 0.777 1942 0.799 1943 0.72 1944 0.849 1945 1.114 1946 0.903 1947 0.882 1948 0.8 1949 0.572 1950 0.509 1951 0.868 1952 1.048 1953 0.252 1954 0.913 1955 0.919 1956 1.375 1957 1.427 1958 1.165 1959 1.379 1960 1.378 1961 0.308 1962 1.191 1963 0.615 1964 0.775 1965 0.523 1966 1.078 1967 0.655 1968 0.732 1969 1.03 1970 0.378 1971 1.016 1972 1.157 1973 0.99 1974 0.995 1975 1.08 1976 1.187 1977 1.432 1978 0.866 1979 1.195 1980 1.151 1981 0.504 1982 1.041 1983 0.394 1984 0.87 1985 0.605