# europe_spai032 - Cuenca Vega de Cordono - 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/4246 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai032 - Cuenca Vega de Cordono - 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: Cuenca Vega de Cordono # Location: # Country: Spain # Northernmost_Latitude: 40.43 # Southernmost_Latitude: 40.43 # Easternmost_Longitude: -1.9 # Westernmost_Longitude: -1.9 # Elevation: 1440 m #-------------------- # Data_Collection # Collection_Name: europe_spai032B # Earliest_Year: 1846 # Most_Recent_Year: 1983 # 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":"3.44640135181","T2":"14.2820353946","M1":"0.0229032063164","M2":"0.57128726716"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 1846 0.915 1847 0.707 1848 0.79 1849 0.665 1850 0.832 1851 0.834 1852 0.733 1853 0.944 1854 1.219 1855 1.192 1856 1.14 1857 0.962 1858 1.071 1859 1.368 1860 0.909 1861 1.18 1862 0.983 1863 0.86 1864 1.253 1865 0.887 1866 1.182 1867 1.111 1868 0.839 1869 1.138 1870 1.017 1871 1.062 1872 0.643 1873 0.604 1874 0.597 1875 0.736 1876 0.767 1877 1.081 1878 1.056 1879 0.39 1880 0.785 1881 1.015 1882 0.836 1883 0.859 1884 0.677 1885 1.276 1886 1.224 1887 0.938 1888 1.026 1889 1.124 1890 0.77 1891 0.88 1892 1.046 1893 0.857 1894 0.788 1895 0.959 1896 0.733 1897 0.76 1898 0.683 1899 1.267 1900 0.709 1901 0.944 1902 1.338 1903 1.81 1904 1.073 1905 1.318 1906 1.222 1907 0.925 1908 1.376 1909 1.323 1910 1.796 1911 1.255 1912 1.115 1913 1.427 1914 1.752 1915 0.892 1916 1.214 1917 0.937 1918 0.957 1919 1.174 1920 1.13 1921 0.708 1922 0.635 1923 0.928 1924 0.683 1925 0.901 1926 1.378 1927 0.965 1928 0.987 1929 1.092 1930 1.076 1931 1.014 1932 1.411 1933 1.74 1934 0.872 1935 1.006 1936 1.229 1937 1.526 1938 1.225 1939 1.023 1940 1.859 1941 0.976 1942 0.71 1943 1.07 1944 0.993 1945 0.803 1946 0.578 1947 0.491 1948 0.732 1949 0.333 1950 0.635 1951 0.722 1952 1.185 1953 0.825 1954 0.932 1955 0.715 1956 0.856 1957 0.917 1958 0.693 1959 0.822 1960 1.08 1961 0.716 1962 0.704 1963 0.492 1964 1.044 1965 0.602 1966 0.809 1967 0.585 1968 0.702 1969 0.873 1970 0.897 1971 0.72 1972 0.597 1973 1.471 1974 1.196 1975 1.155 1976 1.321 1977 1.457 1978 1.233 1979 0.924 1980 1.23 1981 0.539 1982 1.174 1983 1.017