# europe_spai052 - Burgos San Zanordil - 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/4239 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai052 - Burgos San Zanordil - 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: Burgos San Zanordil # Location: # Country: Spain # Northernmost_Latitude: 42.83 # Southernmost_Latitude: 42.83 # Easternmost_Longitude: -3.17 # Westernmost_Longitude: -3.17 # Elevation: 880 m #-------------------- # Data_Collection # Collection_Name: europe_spai052B # Earliest_Year: 1851 # 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":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.06326598087","T2":"15.0512646724","M1":"0.0220411740965","M2":"0.514697491945"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1851 0.682 1852 1.418 1853 1.267 1854 1.076 1855 1.03 1856 1.014 1857 1.093 1858 0.823 1859 0.984 1860 0.987 1861 0.804 1862 1.222 1863 0.981 1864 1.018 1865 1.107 1866 1.544 1867 1.289 1868 0.908 1869 1.453 1870 0.786 1871 0.882 1872 0.345 1873 0.688 1874 0.716 1875 0.863 1876 1.063 1877 1.173 1878 1.378 1879 0.891 1880 1.28 1881 1.171 1882 0.641 1883 0.844 1884 1.11 1885 1.511 1886 1.057 1887 0.842 1888 0.904 1889 0.927 1890 1.065 1891 1.022 1892 0.945 1893 0.838 1894 0.854 1895 0.692 1896 0.671 1897 1.015 1898 0.55 1899 0.721 1900 0.762 1901 0.968 1902 1.173 1903 1.196 1904 1.021 1905 1.146 1906 0.987 1907 0.759 1908 0.886 1909 0.827 1910 1.032 1911 0.823 1912 1.357 1913 1.558 1914 1.425 1915 0.962 1916 1.406 1917 1.261 1918 0.827 1919 0.92 1920 1.26 1921 1.01 1922 0.784 1923 1.294 1924 0.845 1925 0.813 1926 1.187 1927 1.338 1928 1.002 1929 0.656 1930 0.369 1931 0.582 1932 0.805 1933 0.887 1934 0.794 1935 0.846 1936 1.483 1937 1.374 1938 0.549 1939 0.77 1940 1.264 1941 1.201 1942 0.762 1943 0.585 1944 0.667 1945 0.782 1946 0.57 1947 0.887 1948 1.065 1949 1.203 1950 1.051 1951 1.284 1952 1.386 1953 1.173 1954 0.776 1955 0.966 1956 0.785 1957 0.855 1958 1.215 1959 1.731 1960 1.043 1961 1.307 1962 0.978 1963 0.626 1964 0.806 1965 0.632 1966 1.012 1967 1.128 1968 1.079 1969 0.886 1970 1.177 1971 1.278 1972 0.588 1973 0.768 1974 0.952 1975 0.89 1976 0.874 1977 1.675 1978 0.957 1979 1.039 1980 1.001 1981 0.448 1982 0.521 1983 1.009 1984 0.715 1985 0.662