# europe_neth028 - Mattemburgh All Trees - 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/3914 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_neth028 - Mattemburgh All Trees - 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: Mattemburgh All Trees # Location: # Country: Netherlands # Northernmost_Latitude: 51.45 # Southernmost_Latitude: 51.45 # Easternmost_Longitude: 4.32 # Westernmost_Longitude: 4.32 # Elevation: 5 m #-------------------- # Data_Collection # Collection_Name: europe_neth028B # Earliest_Year: 1845 # Most_Recent_Year: 1991 # 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":"5.34579798999","T2":"19.5052575045","M1":"0.0222241535832","M2":"0.292855381055"}} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1845 1.047 1846 1.201 1847 1.25 1848 1.155 1849 1.326 1850 1.246 1851 1.146 1852 1.034 1853 0.974 1854 0.887 1855 0.86 1856 0.785 1857 0.86 1858 0.946 1859 1.055 1860 1.173 1861 1.209 1862 1.265 1863 1.206 1864 1.2 1865 1.211 1866 1.183 1867 1.246 1868 1.238 1869 1.109 1870 1.084 1871 1.013 1872 0.958 1873 0.902 1874 0.955 1875 0.924 1876 0.973 1877 0.927 1878 1.005 1879 1.115 1880 1.123 1881 1.009 1882 0.965 1883 0.954 1884 0.926 1885 0.932 1886 0.945 1887 0.921 1888 0.861 1889 0.912 1890 0.913 1891 0.924 1892 0.87 1893 0.9 1894 0.921 1895 0.87 1896 0.886 1897 0.86 1898 0.836 1899 0.801 1900 0.793 1901 0.752 1902 0.691 1903 0.665 1904 0.677 1905 0.796 1906 0.824 1907 0.926 1908 0.966 1909 0.943 1910 0.969 1911 0.979 1912 0.881 1913 0.881 1914 0.85 1915 0.849 1916 0.858 1917 0.826 1918 0.791 1919 0.754 1920 0.734 1921 0.727 1922 0.814 1923 0.892 1924 0.929 1925 0.907 1926 0.869 1927 0.869 1928 0.829 1929 0.848 1930 0.913 1931 0.992 1932 1.021 1933 1.061 1934 1.012 1935 1.01 1936 1.078 1937 1.124 1938 1.099 1939 1.034 1940 0.962 1941 0.876 1942 0.983 1943 0.995 1944 1.151 1945 1.242 1946 1.313 1947 1.252 1948 1.263 1949 1.275 1950 1.288 1951 1.299 1952 1.214 1953 1.198 1954 1.108 1955 1.057 1956 1.054 1957 0.985 1958 1.174 1959 1.192 1960 1.159 1961 1.074 1962 0.957 1963 0.836 1964 0.804 1965 0.806 1966 0.801 1967 0.906 1968 0.991 1969 0.978 1970 0.966 1971 1.009 1972 0.972 1973 0.939 1974 0.934 1975 0.966 1976 0.805 1977 0.884 1978 0.968 1979 0.942 1980 0.91 1981 1.041 1982 1.043 1983 0.836 1984 0.775 1985 0.837 1986 0.908 1987 0.92 1988 0.991 1989 1.194 1990 1.191 1991 1.138